45 results on '"Niazi, R"'
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2. Microstructure-Property Relationships in an Erbium-Modified Al-Si-Mg Alloy.
- Author
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Niazi, R., Tohidlou, E., and Khosravi, H.
- Subjects
ERBIUM ,TENSILE strength ,MECHANICAL wear ,SCANNING electron microscopy ,ALLOYS ,MICROSCOPY - Abstract
The effect of erbium (Er) addition at various weight percentages (0-0.6 wt.% at an interval of 0.2) on the microstructural features, tensile properties and wear behavior of as-cast Al-7.5Si-0.5Mg alloy were evaluated. The microstructure of the specimens was examined by X-ray diffraction (XRD), optical microscopy (OM) and scanning electron microscopy (SEM). The obtained results clearly demonstrated that the incorporation of erbium decreased the a-Al grain size and eutectic Si, and altered the Si morphology from plate to semi-globular. Further addition of erbium (> 0.2 wt.%) did not alter the eutectic morphology and size. Moreover, the Al3Er phase was also observed in the eutectic region after modification. Out of the erbium contents used, 0.2 wt.% erbium showed the best influence on the tensile and wear properties. Compared with those of unmodified specimen, the values of ultimate tensile strength and elongation were enhanced by 31 and 39%, respectively through 0.2 wt. % erbium addition. Additionally, a remarkable enhancement in the wear properties was observed with the addition of 0.2 wt.% erbium. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
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3. An Ontology-Based Framework for Discovering Mobile Services.
- Author
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Niazi, R. and Mahmoud, Q.H.
- Published
- 2009
- Full Text
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4. Genotypic variation in drought resistance in sorghum(Sorghum bicolorL. Moench)
- Author
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Ashraf, M., primary, Ahmad, M. Maqbool, additional, Niazi, R. N. Khan, additional, Niazi, Maqsooda, additional, and Murtaza, G., additional
- Published
- 1997
- Full Text
- View/download PDF
5. Genotypic variation in drought resistance in sorghum (Sorghum bicolor L. Moench).
- Author
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Ashraf, M., Ahmad, M. Maqbool, Niazi, R. N. Khan, Niazi, Maqsooda, and Murtaza, G.
- Published
- 1997
- Full Text
- View/download PDF
6. Genotypic variation in drought resistance in sorghum (Sorghum bicolorL. Moench)
- Author
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Ashraf, M., Ahmad, M.Maqbool, Niazi, R. N.Khan, Niazi, Maqsooda, and Murtaza, G.
- Abstract
The response of 21 strains of Sorghum bicolorto drought was examined in a pot experiment under glasshouse conditions. Twenty‐eight‐days old plants of all the lines were subjected to 0 or 5 cycles of drought. Plant growth was measured as shoot fresh and dry matters and leaf area. The repeated cycles of drought caused significant reduction in all three characters. Nevertheless, five lines (GP 15 ICSV 233, GP.P.4.4 Pak SS 111, GP. 12. IC 1039, GP.20 Bagdar and GP 256 IZA 114) were consistently superior to the other lines in all three characters. Four lines (GP.13 ICSV. 1, GP.2 10919, GP.D11 YSS. 89 and GP 17 S.35) were categorized as drought sensitive on the basis of their relatively poor performance in all three characters. Osmotic adjustment showed a positive correlation with the degree of drought resistance in almost all lines. The drought resistant lines had significantly greater osmotic adjustment as compared with that of the drought sensitive lines. By contrast, discrimination between these lines was not possible using water retention capability (rate of water loss from excised leaves) since the drought resistant and drought sensitive strains had almost similar values of water retention capability.The considerable amount of intra‐specific variation observed in this set of germplasm of sorghum can be of great value for further improvement in drought resistance in this crop through selection and breeding.
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- 1997
- Full Text
- View/download PDF
7. Fisheries of Pakistan - their present position and potentialities
- Author
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Niazi, R.
- Subjects
Annexe Thesis Digitisation Project 2016 Block 5 - Published
- 1966
8. Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019:A Systematic Analysis for the Global Burden of Disease Study 2019
- Author
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Global Burden of Disease 2019 Cancer Collaboration, Kocarnik, JM, Compton, K, Dean, FE, Fu, W, Gaw, BL, Harvey, JD, Henrikson, HJ, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, SM, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, IA, Adnani, QES, Advani, SM, Afzal, MS, Aghaali, M, Ahinkorah, BO, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, GT, Aklilu, A, Akram, T, Akunna, CJ, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, SM, Alkhayyat, M, Almasi-Hashiani, A, Almasri, NA, Al-Maweri, SAA, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, EW, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, MH, Anvari, D, Anyasodor, AE, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, AF, Ayala Quintanilla, BP, Ayenew, T, Azab, MA, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, AY, Badiye, AD, Bahadory, S, Baig, AA, Baker, JL, Balakrishnan, S, Banach, M, Bärnighausen, TW, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, UI, Bezabhe, WMM, Bezabih, YM, Bhagat, DS, Bhagavathula, AS, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, VS, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjørge, T, Bleyer, A, Blyuss, O, Bolarinwa, OA, Bolla, SR, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, MT, Butt, NS, Butt, ZA, Caetano Dos Santos, FL, Cao, Y, Carreras, G, Catalá-López, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, RC, Chattu, SK, Chattu, VK, Chaturvedi, P, Chimed-Ochir, O, Cho, DY, Christopher, DJ, Chu, D-T, Chung, MT, Conde, J, Cortés, S, Cortesi, PA, Costa, VM, Cunha, AR, Dadras, O, Dagnew, AB, Dahlawi, SMA, Dai, X, Dandona, L, Dandona, R, Darwesh, AM, Das Neves, J, De la Hoz, FP, Demis, AB, Denova-Gutiérrez, E, Dhamnetiya, D, Dhimal, ML, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, HP, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, FW, Driscoll, TR, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, HR, Elhadi, M, El-Jaafary, SI, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, EJA, Fares, J, Farzadfar, F, Feroze, AH, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, JL, Foroutan, M, Fukumoto, T, Gaal, PA, Gad, MM, Gadanya, MA, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, SA, Ginindza, TG, Gizaw, ATT, Glasbey, JC, Golechha, M, Goleij, P, Gomez, RS, Gopalani, SV, Gorini, G, Goudarzi, H, Grosso, G, Gubari, MIM, Guerra, MR, Guha, A, Gunasekera, DS, Gupta, B, Gupta, VB, Gupta, VK, Gutiérrez, RA, Hafezi-Nejad, N, Haider, MR, Haj-Mirzaian, A, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, NI, Haro, JM, Hasaballah, AI, Hassanipour, S, Hay, RJ, Hay, SI, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, BY, Herteliu, C, Hezam, K, Holla, R, Hossain, MM, Hossain, MBH, Hosseini, M-S, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, FN, Hussain, R, Hussein, NR, Hwang, B-F, Iavicoli, I, Ibitoye, SE, Ida, F, Ikuta, KS, Ilesanmi, OS, Ilic, IM, Ilic, MD, Irham, LM, Islam, JY, Islam, RM, Islam, SMS, Ismail, NE, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, MB, Javaheri, T, Jayaram, S, Jazayeri, SB, Jha, RP, Jonas, JB, Joo, T, Joseph, N, Joukar, F, Jürisson, M, Kabir, A, Kahrizi, D, Kalankesh, LR, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, AS, Katikireddi, SV, Kauppila, JH, Kavetskyy, T, Kebede, SA, Keshavarz, P, Keykhaei, M, Khader, YS, Khalilov, R, Khan, G, Khan, M, Khan, MN, Khan, MAB, Khang, Y-H, Khater, AM, Khayamzadeh, M, Kim, GR, Kim, YJ, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, JA, Koteeswaran, R, Koul, PA, Koulmane Laxminarayana, SL, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, GA, Kumar, N, Kurmi, OP, Kutluk, T, La Vecchia, C, Lami, FH, Landires, I, Lauriola, P, Lee, S-W, Lee, SWH, Lee, W-C, Lee, YH, Leigh, J, Leong, E, Li, J, Li, M-C, Liu, X, Loureiro, JA, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, AA, Mansournia, MA, Martini, S, Masoumi, SZ, Mathur, P, McKee, M, Mehrotra, R, Mendoza, W, Menezes, RG, Mengesha, EW, Mesregah, MK, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, IM, Miller, TR, Mirzaei, H, Mirzaei, HR, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, KA, Mohammad, Y, Mohammadi, M, Mohammadi, SM, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, AH, Molokhia, M, Monasta, L, Moni, MA, Moosavi, MA, Moradi, Y, Moraga, P, Morgado-da-Costa, J, Morrison, SD, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, AJ, Nagaraju, SP, Nagata, C, Naimzada, MD, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Ndejjo, R, Nduaguba, SO, Negoi, I, Negru, SM, Neupane Kandel, S, Nguyen, CT, Nguyen, HLT, Niazi, RK, Nnaji, CA, Noor, NM, Nuñez-Samudio, V, Nzoputam, CI, Oancea, B, Ochir, C, Odukoya, OO, Ogbo, FA, Olagunju, AT, Olakunde, BO, Omar, E, Omar Bali, A, Omonisi, AEE, Ong, S, Onwujekwe, OE, Orru, H, Ortega-Altamirano, DV, Otstavnov, N, Otstavnov, SS, Owolabi, MO, P A, M, Padubidri, JR, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pardhan, S, Park, E-C, Park, E-K, Pashazadeh Kan, F, Patel, HK, Patel, JR, Pati, S, Pattanshetty, SM, Paudel, U, Pereira, DM, Pereira, RB, Perianayagam, A, Pillay, JD, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, MJ, Pourjafar, H, Prashant, A, Preotescu, L, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahman, MA, Rahmani, AM, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, CR, Rao, SJ, Rawassizadeh, R, Razeghinia, MS, Renzaho, AMN, Rezaei, N, Rezapour, A, Roberts, TJ, Rodriguez, JAB, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, GM, S, M, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, MR, Salimzadeh, H, Samaei, M, Samy, AM, Sanabria, J, Sankararaman, S, Santric-Milicevic, MM, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, IJC, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, MA, Shamsoddin, E, Shannawaz, M, Sharma, R, Sheikh, A, Sheikhbahaei, S, Shetty, A, Shetty, JK, Shetty, PH, Shibuya, K, Shirkoohi, R, Shivakumar, KM, Shivarov, V, Siabani, S, Siddappa Malleshappa, SK, Silva, DAS, Singh, JA, Sintayehu, Y, Skryabin, VY, Skryabina, AA, Soeberg, MJ, Sofi-Mahmudi, A, Sotoudeh, H, Steiropoulos, P, Straif, K, Subedi, R, Sufiyan, MB, Sultan, I, Sultana, S, Sur, D, Szerencsés, V, Szócska, M, Tabarés-Seisdedos, R, Tabuchi, T, Tadbiri, H, Taherkhani, A, Takahashi, K, Talaat, IM, Tan, K-K, Tat, VY, Tedla, BAA, Tefera, YG, Tehrani-Banihashemi, A, Temsah, M-H, Tesfay, FH, Tessema, GA, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Tohidinik, HR, Touvier, M, Tovani-Palone, MR, Traini, E, Tran, BX, Tran, KB, Tran, MTN, Tripathy, JP, Tusa, BS, Ullah, I, Ullah, S, Umapathi, KK, Unnikrishnan, B, Upadhyay, E, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Velazquez, DZ, Veroux, M, Violante, FS, Vlassov, V, Vo, B, Volovici, V, Vu, GT, Waheed, Y, Wamai, RG, Ward, P, Wen, YF, Westerman, R, Winkler, AS, Yadav, L, Yahyazadeh Jabbari, SH, Yang, L, Yaya, S, Yazie, TSY, Yeshaw, Y, Yonemoto, N, Younis, MZ, Yousefi, Z, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zare, F, Zastrozhin, MS, Zastrozhina, A, Zhang, J, Zhong, C, Zhou, L, Zhu, C, Ziapour, A, Zimmermann, IR, Fitzmaurice, C, Murray, CJL, Force, LM, Value, Affordability and Sustainability (VALUE), Real World Studies in PharmacoEpidemiology, -Genetics, -Economics and -Therapy (PEGET), Microbes in Health and Disease (MHD), Kocarnik, J, Compton, K, Dean, F, Fu, W, Gaw, B, Harvey, J, Henrikson, H, Lu, D, Pennini, A, Xu, R, Ababneh, E, Abbasi-Kangevari, M, Abbastabar, H, Abd-Elsalam, S, Abdoli, A, Abedi, A, Abidi, H, Abolhassani, H, Adedeji, I, Adnani, Q, Advani, S, Afzal, M, Aghaali, M, Ahinkorah, B, Ahmad, S, Ahmad, T, Ahmadi, A, Ahmadi, S, Ahmed Rashid, T, Ahmed Salih, Y, Akalu, G, Aklilu, A, Akram, T, Akunna, C, Al Hamad, H, Alahdab, F, Al-Aly, Z, Ali, S, Alimohamadi, Y, Alipour, V, Aljunid, S, Alkhayyat, M, Almasi-Hashiani, A, Almasri, N, Al-Maweri, S, Almustanyir, S, Alonso, N, Alvis-Guzman, N, Amu, H, Anbesu, E, Ancuceanu, R, Ansari, F, Ansari-Moghaddam, A, Antwi, M, Anvari, D, Anyasodor, A, Aqeel, M, Arabloo, J, Arab-Zozani, M, Aremu, O, Ariffin, H, Aripov, T, Arshad, M, Artaman, A, Arulappan, J, Asemi, Z, Asghari Jafarabadi, M, Ashraf, T, Atorkey, P, Aujayeb, A, Ausloos, M, Awedew, A, Ayala Quintanilla, B, Ayenew, T, Azab, M, Azadnajafabad, S, Azari Jafari, A, Azarian, G, Azzam, A, Badiye, A, Bahadory, S, Baig, A, Baker, J, Balakrishnan, S, Banach, M, Barnighausen, T, Barone-Adesi, F, Barra, F, Barrow, A, Behzadifar, M, Belgaumi, U, Bezabhe, W, Bezabih, Y, Bhagat, D, Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, Bhaskar, S, Bhattacharyya, K, Bhojaraja, V, Bibi, S, Bijani, A, Biondi, A, Bisignano, C, Bjorge, T, Bleyer, A, Blyuss, O, Bolarinwa, O, Bolla, S, Braithwaite, D, Brar, A, Brenner, H, Bustamante-Teixeira, M, Butt, N, Butt, Z, Caetano Dos Santos, F, Cao, Y, Carreras, G, Catala-Lopez, F, Cembranel, F, Cerin, E, Cernigliaro, A, Chakinala, R, Chattu, S, Chattu, V, Chaturvedi, P, Chimed-Ochir, O, Cho, D, Christopher, D, Chu, D, Chung, M, Conde, J, Cortes, S, Cortesi, P, Costa, V, Cunha, A, Dadras, O, Dagnew, A, Dahlawi, S, Dai, X, Dandona, L, Dandona, R, Darwesh, A, Das Neves, J, De La Hoz, F, Demis, A, Denova-Gutierrez, E, Dhamnetiya, D, Dhimal, M, Dianatinasab, M, Diaz, D, Djalalinia, S, Do, H, Doaei, S, Dorostkar, F, Dos Santos Figueiredo, F, Driscoll, T, Ebrahimi, H, Eftekharzadeh, S, El Tantawi, M, El-Abid, H, Elbarazi, I, Elhabashy, H, Elhadi, M, El-Jaafary, S, Eshrati, B, Eskandarieh, S, Esmaeilzadeh, F, Etemadi, A, Ezzikouri, S, Faisaluddin, M, Faraon, E, Fares, J, Farzadfar, F, Feroze, A, Ferrero, S, Ferro Desideri, L, Filip, I, Fischer, F, Fisher, J, Foroutan, M, Fukumoto, T, Gaal, P, Gad, M, Gadanya, M, Gallus, S, Gaspar Fonseca, M, Getachew Obsa, A, Ghafourifard, M, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gilani, S, Ginindza, T, Gizaw, A, Glasbey, J, Golechha, M, Goleij, P, Gomez, R, Gopalani, S, Gorini, G, Goudarzi, H, Grosso, G, Gubari, M, Guerra, M, Guha, A, Gunasekera, D, Gupta, B, Gupta, V, Gutierrez, R, Hafezi-Nejad, N, Haider, M, Haj-Mirzaian, A, Halwani, R, Hamadeh, R, Hameed, S, Hamidi, S, Hanif, A, Haque, S, Harlianto, N, Haro, J, Hasaballah, A, Hassanipour, S, Hay, R, Hay, S, Hayat, K, Heidari, G, Heidari, M, Herrera-Serna, B, Herteliu, C, Hezam, K, Holla, R, Hossain, M, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Hostiuc, S, Househ, M, Hsairi, M, Huang, J, Hugo, F, Hussain, R, Hussein, N, Hwang, B, Iavicoli, I, Ibitoye, S, Ida, F, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Irham, L, Islam, J, Islam, R, Islam, S, Ismail, N, Isola, G, Iwagami, M, Jacob, L, Jain, V, Jakovljevic, M, Javaheri, T, Jayaram, S, Jazayeri, S, Jha, R, Jonas, J, Joo, T, Joseph, N, Joukar, F, Jurisson, M, Kabir, A, Kahrizi, D, Kalankesh, L, Kalhor, R, Kaliyadan, F, Kalkonde, Y, Kamath, A, Kameran Al-Salihi, N, Kandel, H, Kapoor, N, Karch, A, Kasa, A, Katikireddi, S, Kauppila, J, Kavetskyy, T, Kebede, S, Keshavarz, P, Keykhaei, M, Khader, Y, Khalilov, R, Khan, G, Khan, M, Khang, Y, Khater, A, Khayamzadeh, M, Kim, G, Kim, Y, Kisa, A, Kisa, S, Kissimova-Skarbek, K, Kopec, J, Koteeswaran, R, Koul, P, Koulmane Laxminarayana, S, Koyanagi, A, Kucuk Bicer, B, Kugbey, N, Kumar, G, Kumar, N, Kurmi, O, Kutluk, T, La Vecchia, C, Lami, F, Landires, I, Lauriola, P, Lee, S, Lee, W, Lee, Y, Leigh, J, Leong, E, Li, J, Li, M, Liu, X, Loureiro, J, Lunevicius, R, Magdy Abd El Razek, M, Majeed, A, Makki, A, Male, S, Malik, A, Mansournia, M, Martini, S, Masoumi, S, Mathur, P, Mckee, M, Mehrotra, R, Mendoza, W, Menezes, R, Mengesha, E, Mesregah, M, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Michalek, I, Miller, T, Mirzaei, H, Misra, S, Mithra, P, Moghadaszadeh, M, Mohammad, K, Mohammad, Y, Mohammadi, M, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammed, S, Moka, N, Mokdad, A, Molokhia, M, Monasta, L, Moni, M, Moosavi, M, Moradi, Y, Moraga, P, Morgado-Da-Costa, J, Morrison, S, Mosapour, A, Mubarik, S, Mwanri, L, Nagarajan, A, Nagaraju, S, Nagata, C, Naimzada, M, Nangia, V, Naqvi, A, Narasimha Swamy, S, Ndejjo, R, Nduaguba, S, Negoi, I, Negru, S, Neupane Kandel, S, Nguyen, C, Nguyen, H, Niazi, R, Nnaji, C, Noor, N, Nunez-Samudio, V, Nzoputam, C, Oancea, B, Ochir, C, Odukoya, O, Ogbo, F, Olagunju, A, Olakunde, B, Omar, E, Omar Bali, A, Omonisi, A, Ong, S, Onwujekwe, O, Orru, H, Ortega-Altamirano, D, Otstavnov, N, Otstavnov, S, Owolabi, M, P A, M, Padubidri, J, Pakshir, K, Pana, A, Panagiotakos, D, Panda-Jonas, S, Pardhan, S, Park, E, Pashazadeh Kan, F, Patel, H, Patel, J, Pati, S, Pattanshetty, S, Paudel, U, Pereira, D, Pereira, R, Perianayagam, A, Pillay, J, Pirouzpanah, S, Pishgar, F, Podder, I, Postma, M, Pourjafar, H, Prashant, A, Preotescu, L, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, R, Radhakrishnan, V, Rafiee, A, Rahim, F, Rahimzadeh, S, Rahman, M, Rahmani, A, Rajai, N, Rajesh, A, Rakovac, I, Ram, P, Ramezanzadeh, K, Ranabhat, K, Ranasinghe, P, Rao, C, Rao, S, Rawassizadeh, R, Razeghinia, M, Renzaho, A, Rezaei, N, Rezapour, A, Roberts, T, Rodriguez, J, Rohloff, P, Romoli, M, Ronfani, L, Roshandel, G, Rwegerera, G, Manjula, S, Sabour, S, Saddik, B, Saeed, U, Sahebkar, A, Sahoo, H, Salehi, S, Salem, M, Salimzadeh, H, Samaei, M, Samy, A, Sanabria, J, Sankararaman, S, Santric-Milicevic, M, Sardiwalla, Y, Sarveazad, A, Sathian, B, Sawhney, M, Saylan, M, Schneider, I, Sekerija, M, Seylani, A, Shafaat, O, Shaghaghi, Z, Shaikh, M, Shamsoddin, E, Shannawaz, 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Y., Mohammadi M., Mohammadi S.M., Mohammadian-Hafshejani A., Mohammed S., Moka N., Mokdad A.H., Molokhia M., Monasta L., Moni M.A., Moosavi M.A., Moradi Y., Moraga P., Morgado-Da-Costa J., Morrison S.D., Mosapour A., Mubarik S., Mwanri L., Nagarajan A.J., Nagaraju S.P., Nagata C., Naimzada M.D., Nangia V., Naqvi A.A., Narasimha Swamy S., Ndejjo R., Nduaguba S.O., Negoi I., Negru S.M., Neupane Kandel S., Nguyen C.T., Nguyen H.L.T., Niazi R.K., Nnaji C.A., Noor N.M., Nunez-Samudio V., Nzoputam C.I., Oancea B., Ochir C., Odukoya O.O., Ogbo F.A., Olagunju A.T., Olakunde B.O., Omar E., Omar Bali A.O., Omonisi A.E.E., Ong S., Onwujekwe O.E., Orru H., Ortega-Altamirano D.V., Otstavnov N., Otstavnov S.S., Owolabi M.O., P A M., Padubidri J.R., Pakshir K., Pana A., Panagiotakos D., Panda-Jonas S., Pardhan S., Park E.-C., Park E.-K., Pashazadeh Kan F., Patel H.K., Patel J.R., Pati S., Pattanshetty S.M., Paudel U., Pereira D.M., Pereira R.B., Perianayagam A., Pillay J.D., Pirouzpanah S., Pishgar F., Podder I., Postma M.J., Pourjafar H., Prashant A., Preotescu L., Rabiee M., Rabiee N., Radfar A., Radhakrishnan R.A., Radhakrishnan V., Rafiee A., Rahim F., Rahimzadeh S., Rahman M., Rahman M.A., Rahmani A.M., Rajai N., Rajesh A., Rakovac I., Ram P., Ramezanzadeh K., Ranabhat K., Ranasinghe P., Rao C.R., Rao S.J., Rawassizadeh R., Razeghinia M.S., Renzaho A.M.N., Rezaei N., Rezapour A., Roberts T.J., Rodriguez J.A.B., Rohloff P., Romoli M., Ronfani L., Roshandel G., Rwegerera G.M., Manjula S., Sabour S., Saddik B., Saeed U., Sahebkar A., Sahoo H., Salehi S., Salem M.R., Salimzadeh H., Samaei M., Samy A.M., Sanabria J., Sankararaman S., Santric-Milicevic M.M., Sardiwalla Y., Sarveazad A., Sathian B., Sawhney M., Saylan M., Schneider I.J.J., Sekerija M., Seylani A., Shafaat O., Shaghaghi Z., Shaikh M.A., Shamsoddin E., Shannawaz M., Sharma R., Sheikh A., Sheikhbahaei S., Shetty A., Shetty J.K., Shetty P.H., Shibuya K., Shirkoohi R., Shivakumar K.M., Shivarov V., Siabani S., Siddappa Malleshappa S.K., Silva D.A.S., Singh J.A., Sintayehu Y., Skryabin V.Y., Skryabina A.A., Soeberg M.J., Sofi-Mahmudi A., Sotoudeh H., Steiropoulos P., Straif K., Subedi R., Sufiyan M.B., Sultan I., Sultana S., Sur D., Szerencses V., Szocska M., Tabares-Seisdedos R., Tabuchi T., Tadbiri H., Taherkhani A., Takahashi K., Talaat I.M., Tan K.-K., Tat V.Y., Tedla B.A.A., Tefera Y.G., Tehrani-Banihashemi A., Temsah M., Tesfay F.H., Tessema G.A., Thapar R., Thavamani A., Thoguluva Chandrasekar V., Thomas N., Tohidinik H.R., Touvier M., Tovani-Palone M.R., Traini E., Tran B.X., Tran K.B., Tran M.T.N., Tripathy J.P., Tusa B.S., Ullah I., Ullah S., Umapathi K.K., Unnikrishnan B., Upadhyay E., Vacante M., Vaezi M., Valadan Tahbaz S., Velazquez D.Z., Veroux M., Violante F.S., Vlassov V., Vo B., Volovici V., Vu G.T., Waheed Y., Wamai R.G., Ward P., Wen Y.F., Westerman R., Winkler A.S., Yadav L., Yahyazadeh Jabbari S.H., Yang L., Yaya S., Yazie T.S.Y., Yeshaw Y., Yonemoto N., Younis M.Z., Yousefi Z., Yu C., Yuce D., Yunusa I., Zadnik V., Zare F., Zastrozhin M.S., Zastrozhina A., Zhang J., Zhong C., Zhou L., Zhu C., Ziapour A., Zimmermann I.R., Fitzmaurice C., Murray C.J.L., Force L.M., Bill & Melinda Gates Foundation, American Lebanese Syrian Associated Charities, Kuwait University (Kuwait), National University of Malaysia (Malasia), Alexander von Humboldt Foundation, Federal Ministry of Education & Research (Alemania), NIH - National Cancer Institute (NCI) (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Novo Nordisk Foundation, National Health and Medical Research Council (Australia), Jazan University (Arabia Saudí), Romanian National Authority for Scientific Research and Innovation, Ministry of Education (Brasil), National Heart Foundation of Australia, Ministry of Education, Science and Technological Development (Serbia), NHS - Research Scotland (Reino Unido), Medical Research Council (Reino Unido), Scottish Government (Reino Unido), Jatiya Kabi Kazi Nazrul Islam University (Bangladesh), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), King College London, National Health Service (Reino Unido), Government of the Russian Federation, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (Brasil), National Council for Scientific and Technological Development (Brasil), Cancer Prevention and Research Institute of Texas (Estados Unidos), Fundação para a Ciência e Tecnologia (Portugal), Neurosurgery, Kocarnik, J. 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Cancer Research ,GBD ,195 COUNTRIES ,Global Health ,1117 Public Health and Health Services ,Global Burden of Disease ,SDG 3 - Good Health and Well-being ,WORLDWIDE ,Risk Factors ,Neoplasms ,SURVEILLANCE ,SUPPORT ,Global Burden of Disease 2019 Cancer Collaboration ,Prevalence ,Online First ,cancer ,Humans ,1112 Oncology and Carcinogenesis ,public health, cancer, burden of diseases ,PROGRESS ,Original Investigation ,Global burden ,Science & Technology ,CHALLENGES ,Research ,Incidence ,Medisinske Fag: 700::Klinisk medisinske fag: 750::Onkologi: 762 [VDP] ,COVID-19 ,1112 Oncology and Carcinogenesis, 1117 Public Health and Health Services ,Disability-Adjusted Life Years ,mortality ,STATISTICS ,Oncology ,Cancer Incidence, Mortality, Years of Life Lost, Years Lived With Disability, and Disability-Adjusted Life Years for 29 Cancer Groups From 2010 to 2019 A Systematic Analysis for the Global Burden of Disease Study 2019 ,HEALTH-CARE ,TERRITORIES ,Quality-Adjusted Life Years ,Life Sciences & Biomedicine ,Comments - Abstract
Key Points Question What was the burden of cancer globally and across Sociodemographic Index (SDI) groupings in 2019, and how has incidence, morbidity, and mortality changed since 2010? Findings In this systematic analysis, there were 23.6 million new global cancer cases in 2019 (17.2 million when excluding those with nonmelanoma skin cancer), 10.0 million cancer deaths, and an estimated 250 million disability-adjusted life years estimated to be due to cancer; since 2010, these represent increases of 26.3%, 20.9%, and 16.0%, respectively. Absolute cancer burden increased in all SDI quintiles since 2010, but the largest percentage increases occurred in the low and low-middle SDI quintiles. Meanings The study results suggest that increased cancer prevention and control efforts are needed to equitably address the evolving and increasing burden of cancer across the SDI spectrum., Importance The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden. Objective To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019. Evidence Review The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite measure of educational attainment, income per capita, and total fertility rate for those younger than 25 years. Estimates include 95% uncertainty intervals (UIs). Findings In 2019, there were an estimated 23.6 million (95% UI, 22.2-24.9 million) new cancer cases (17.2 million when excluding nonmelanoma skin cancer) and 10.0 million (95% UI, 9.36-10.6 million) cancer deaths globally, with an estimated 250 million (235-264 million) DALYs due to cancer. Since 2010, these represented a 26.3% (95% UI, 20.3%-32.3%) increase in new cases, a 20.9% (95% UI, 14.2%-27.6%) increase in deaths, and a 16.0% (95% UI, 9.3%-22.8%) increase in DALYs. Among 22 groups of diseases and injuries in the GBD 2019 study, cancer was second only to cardiovascular diseases for the number of deaths, years of life lost, and DALYs globally in 2019. Cancer burden differed across SDI quintiles. The proportion of years lived with disability that contributed to DALYs increased with SDI, ranging from 1.4% (1.1%-1.8%) in the low SDI quintile to 5.7% (4.2%-7.1%) in the high SDI quintile. While the high SDI quintile had the highest number of new cases in 2019, the middle SDI quintile had the highest number of cancer deaths and DALYs. From 2010 to 2019, the largest percentage increase in the numbers of cases and deaths occurred in the low and low-middle SDI quintiles. Conclusions and Relevance The results of this systematic analysis suggest that the global burden of cancer is substantial and growing, with burden differing by SDI. These results provide comprehensive and comparable estimates that can potentially inform efforts toward equitable cancer control around the world., The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 examines cancer burden and trends globally for 204 countries and territories and by Socio-demographic Index quintiles from 2010 to 2019.
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9. Global, regional, and national burden of hepatitis B, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Brittney S Sheena, Lindsey Hiebert, Hannah Han, Helen Ippolito, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Amir Abdoli, Hiwa Abubaker Ali, Mesafint Molla Adane, Oyelola A Adegboye, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Muhammad Sohail Afzal, Saira Afzal, Mohamad Aghaie Meybodi, Bahman Ahadinezhad, Bright Opoku Ahinkorah, Sajjad Ahmad, Tauseef Ahmad, Sepideh Ahmadi, Haroon Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Gizachew Taddesse Akalu, Addis Aklilu, Tayyaba Akram, Hanadi Al Hamad, Fares Alahdab, Adugnaw Zeleke Alem, Dejene Tsegaye Alem, Fadwa Alhalaiqa Naji Alhalaiqa, Robert Kaba Alhassan, Liaqat Ali, Muhammad Ashar Ali, Yousef Alimohamadi, Vahid Alipour, Motasem Alkhayyat, Sami Almustanyir, Rajaa M Al-Raddadi, Haya Altawalah, Saeed Amini, Hubert Amu, Robert Ancuceanu, Catalina Liliana Andrei, Tudorel Andrei, Amir Anoushiravani, Adnan Ansar, Anayochukwu Edward Anyasodor, Jalal Arabloo, Morteza Arab-Zozani, Ayele Mamo Argaw, Zeleke 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Liver Cirrhosis ,Hepatology ,Seroepidemiologic Studies ,3121 General medicine, internal medicine and other clinical medicine ,Liver Neoplasms ,Gastroenterology ,Humans ,Bayes Theorem ,HBV, Global burden of diseases, HCC, Cirrhosis ,Child ,Hepatitis B ,Global Burden of Disease - Abstract
Publisher Copyright: © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license Background: Combating viral hepatitis is part of the UN Sustainable Development Goals (SDGs), and WHO has put forth hepatitis B elimination targets in its Global Health Sector Strategy on Viral Hepatitis (WHO-GHSS) and Interim Guidance for Country Validation of Viral Hepatitis Elimination (WHO Interim Guidance). We estimated the global, regional, and national prevalence of hepatitis B virus (HBV), as well as mortality and disability-adjusted life-years (DALYs) due to HBV, as part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019. This included estimates for 194 WHO member states, for which we compared our estimates to WHO elimination targets. Methods: The primary data sources were population-based serosurveys, claims and hospital discharges, cancer registries, vital registration systems, and published case series. We estimated chronic HBV infection and the burden of HBV-related diseases, defined as an aggregate of cirrhosis due to hepatitis B, liver cancer due to hepatitis B, and acute hepatitis B. We used DisMod-MR 2.1, a Bayesian mixed-effects meta-regression tool, to estimate the prevalence of chronic HBV infection, cirrhosis, and aetiological proportions of cirrhosis. We used mortality-to-incidence ratios modelled with spatiotemporal Gaussian process regression to estimate the incidence of liver cancer. We used the Cause of Death Ensemble modelling (CODEm) model, a tool that selects models and covariates on the basis of out-of-sample performance, to estimate mortality due to cirrhosis, liver cancer, and acute hepatitis B. Findings: In 2019, the estimated global, all-age prevalence of chronic HBV infection was 4·1% (95% uncertainty interval [UI] 3·7 to 4·5), corresponding to 316 million (284 to 351) infected people. There was a 31·3% (29·0 to 33·9) decline in all-age prevalence between 1990 and 2019, with a more marked decline of 76·8% (76·2 to 77·5) in prevalence in children younger than 5 years. HBV-related diseases resulted in 555 000 global deaths (487 000 to 630 000) in 2019. The number of HBV-related deaths increased between 1990 and 2019 (by 5·9% [–5·6 to 19·2]) and between 2015 and 2019 (by 2·9% [–5·9 to 11·3]). By contrast, all-age and age-standardised death rates due to HBV-related diseases decreased during these periods. We compared estimates for 2019 in 194 WHO locations to WHO-GHSS 2020 targets, and found that four countries achieved a 10% reduction in deaths, 15 countries achieved a 30% reduction in new cases, and 147 countries achieved a 1% prevalence in children younger than 5 years. As of 2019, 68 of 194 countries had already achieved the 2030 target proposed in WHO Interim Guidance of an all-age HBV-related death rate of four per 100 000. Interpretation: The prevalence of chronic HBV infection declined over time, particularly in children younger than 5 years, since the introduction of hepatitis B vaccination. HBV-related death rates also decreased, but HBV-related death counts increased as a result of population growth, ageing, and cohort effects. By 2019, many countries had met the interim seroprevalence target for children younger than 5 years, but few countries had met the WHO-GHSS interim targets for deaths and new cases. Progress according to all indicators must be accelerated to meet 2030 targets, and there are marked disparities in burden and progress across the world. HBV interventions, such as vaccination, testing, and treatment, must be strategically supported and scaled up to achieve elimination. Funding: Bill & Melinda Gates Foundation.
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10. Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019
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Hmwe Hmwe Kyu, Avina Vongpradith, Sarah Brooke Sirota, Amanda Novotney, Christopher E Troeger, Matthew C Doxey, Rose G Bender, Jorge R Ledesma, Molly H Biehl, Samuel B Albertson, Joseph Jon Frostad, Katrin Burkart, Fiona B Bennitt, Jeff T Zhao, William M Gardner, Hailey Hagins, Dana Bryazka, Regina-Mae Villanueva Dominguez, Semagn Mekonnen Abate, Michael Abdelmasseh, Amir Abdoli, Gholamreza Abdoli, Aidin Abedi, Vida Abedi, Tadesse M Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Ahmed Abu-Zaid, Kidist Adamu, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Sajjad Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Mostafa Akbarzadeh-Khiavi, Hanadi Al Hamad, Luciana Albano, Mamoon A Aldeyab, Bezatu Mengistie Alemu, Kefyalew Addis Alene, 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Jabbari, Dong Keon Yon, Naohiro Yonemoto, Burhan Abdullah Zaman, Alireza Zandifar, Moein Zangiabadian, Heather J Zar, Iman Zare, Zahra Zareshahrabadi, Armin Zarrintan, Mikhail Sergeevich Zastrozhin, Wu Zeng, Mengxi Zhang, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zoladl, Alimuddin Zumla, Stephen S Lim, Theo Vos, Mohsen Naghavi, Michael Brauer, Simon I Hay, Christopher J L Murray, Kyu, H. H., Vongpradith, A., Sirota, S. B., Novotney, A., Troeger, C. E., Doxey, M. C., Bender, R. G., Ledesma, J. R., Biehl, M. H., Albertson, S. B., Frostad, J. J., Burkart, K., Bennitt, F. B., Zhao, J. T., Gardner, W. M., Hagins, H., Bryazka, D., Dominguez, R. -M. V., Abate, S. M., Abdelmasseh, M., Abdoli, A., Abdoli, G., Abedi, A., Abedi, V., Abegaz, T. M., Abidi, H., Aboagye, R. G., Abolhassani, H., Abtew, Y. D., Abubaker Ali, H., Abu-Gharbieh, E., Abu-Zaid, A., Adamu, K., Addo, I. Y., Adegboye, O. A., Adnan, M., Adnani, Q. E. S., Afzal, M. S., Afzal, S., Ahinkorah, B. O., Ahmad, A., Ahmad, A. R., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, H., Ahmed, J. Q., Ahmed Rashid, T., Akbarzadeh-Khiavi, M., Al Hamad, H., Albano, L., Aldeyab, M. A., Alemu, B. M., Alene, K. A., Algammal, A. M., Alhalaiqa, F. A. N., Alhassan, R. K., Ali, B. A., Ali, L., Ali, M. M., Ali, S. S., Alimohamadi, Y., Alipour, V., Al-Jumaily, A., Aljunid, S. M., Almustanyir, S., Al-Raddadi, R. M., Al-Rifai, R. H. H., Alryalat, S. A. S., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Ameyaw, E. K., Aminian Dehkordi, J. J., Amuasi, J. H., Amugsi, D. A., Anbesu, E. W., Ansar, A., Anyasodor, A. E., Arabloo, J., Areda, D., Argaw, A. M., Argaw, Z. G., Arulappan, J., Aruleba, R. T., Asemahagn, M. A., Athari, S. S., Atlaw, D., Attia, E. F., Attia, S., Aujayeb, A., Awoke, T., Ayana, T. M., Ayanore, M. A., Azadnajafabad, S., Azangou-Khyavy, M., Azari, S., Azari Jafari, A., Badar, M., Badiye, A. D., Baghcheghi, N., Bagherieh, S., Baig, A. A., Banach, M., Banerjee, I., Bardhan, M., Barone-Adesi, F., Barqawi, H. J., Barrow, A., Bashiri, A., Bassat, Q., Batiha, A. -M. M., Belachew, A. B., Belete, M. A., Belgaumi, U. I., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhatt, P., Bhojaraja, V. S., Bhutta, Z. A., Bhuyan, S. S., Bijani, A., Bitaraf, S., Bodicha, B. B. A., Briko, N. I., Buonsenso, D., Butt, M. H., Cai, J., Camargos, P., Camera, L. A., Chakraborty, P. A., Chanie, M. G., Charan, J., Chattu, V. K., Ching, P. R., Choi, S., Chong, Y. Y., Choudhari, S. G., Chowdhury, E. K., Christopher, D. J., Chu, D. -T., Cobb, N. L., Cohen, A. J., Cruz-Martins, N., Dadras, O., Dagnaw, F. T., Dai, X., Dandona, L., Dandona, R., Dao, A. T. M., Debela, S. A., Demisse, B., Demisse, F. W., Demissie, S., Dereje, D., Desai, H. D., Desta, A. A., Desye, B., Dhingra, S., Diao, N., Diaz, D., Digesa, L. E., Doan, L. P., Dodangeh, M., Dongarwar, D., Dorostkar, F., dos Santos, W. M., Dsouza, H. L., Dubljanin, E., Durojaiye, O. C., Edinur, H. A., Ehsani-Chimeh, E., Eini, E., Ekholuenetale, M., Ekundayo, T. C., El Desouky, E. D., El Sayed, I., El Sayed Zaki, M., Elhadi, M., Elkhapery, A. M. R., Emami, A., Engelbert Bain, L., Erkhembayar, R., Etaee, F., Ezati Asar, M., Fagbamigbe, A. F., Falahi, S., Fallahzadeh, A., Faraj, A., Faraon, E. J. A., Fatehizadeh, A., Ferrara, P., Ferrari, A. A., Fetensa, G., Fischer, F., Flavel, J., Foroutan, M., Gaal, P. A., Gaidhane, A. M., Gaihre, S., Galehdar, N., Garcia-Basteiro, A. L., Garg, T., Gebrehiwot, M. D., Gebremichael, M. A., Gela, Y. Y., Gemeda, B. N. B., Gessner, B. D., Getachew, M., Getie, A., Ghamari, S. -H., Ghasemi Nour, M., Ghashghaee, A., Gholamrezanezhad, A., Gholizadeh, A., Ghosh, R., Ghozy, S., Goleij, P., Golitaleb, M., Gorini, G., Goulart, A. C., Goyomsa, G. G., Guadie, H. A., Gudisa, Z., Guled, R. A., Gupta, S., Gupta, V. B., Gupta, V. K., Guta, A., Habibzadeh, P., Haj-Mirzaian, A., Halwani, R., Hamidi, S., Hannan, M. A., Harorani, M., Hasaballah, A. I., Hasani, H., Hassan, A. M., Hassani, S., Hassanian-Moghaddam, H., Hassankhani, H., Hayat, K., Heibati, B., Heidari, M., Heyi, D. Z., Hezam, K., Holla, R., Hong, S. H., Horita, N., Hosseini, M. -S., Hosseinzadeh, M., Hostiuc, M., Househ, M., Hoveidamanesh, S., Huang, J., Hussein, N. R., Iavicoli, I., Ibitoye, S. E., Ikuta, K. S., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Immurana, M., Ismail, N. E., Iwagami, M., Jaafari, J., Jamshidi, E., Jang, S. -I., Javadi Mamaghani, A., Javaheri, T., Javanmardi, F., Javidnia, J., Jayapal, S. K., Jayarajah, U., Jayaram, S., Jema, A. T., Jeong, W., Jonas, J. B., Joseph, N., Joukar, F., Jozwiak, J. J., K, V., Kabir, Z., Kacimi, S. E. O., Kadashetti, V., Kalankesh, L. R., Kalhor, R., Kamath, A., Kamble, B. D., Kandel, H., Kanko, T. K., Karaye, I. M., Karch, A., Karkhah, S., Kassa, B. G., Katoto, P. D., Kaur, H., Kaur, R. J., Keikavoosi-Arani, L., Keykhaei, M., Khader, Y. S., Khajuria, H., Khan, E. A., Khan, G., Khan, I. A., Khan, M., Khan, M. N., Khan, M. A., Khan, Y. H., Khatatbeh, M. M., Khosravifar, M., Khubchandani, J., Kim, M. S., Kimokoti, R. W., Kisa, A., Kisa, S., Kissoon, N., Knibbs, L. D., Kochhar, S., Kompani, F., Koohestani, H. R., Korshunov, V. A., Kosen, S., Koul, P. A., Koyanagi, A., Krishan, K., Kuate Defo, B., Kumar, G. A., Kurmi, O. P., Kuttikkattu, A., Lal, D. K., Lam, J., Landires, I., Ledda, C., Lee, S. -W., Levi, M., Lewycka, S., Liu, G., Liu, W., Lodha, R., Lorenzovici, L., Lotfi, M., Loureiro, J. A., Madadizadeh, F., Mahmoodpoor, A., Mahmoudi, R., Mahmoudimanesh, M., Majidpoor, J., Makki, A., Malakan Rad, E., Malik, A. A., Mallhi, T. H., Manla, Y., Matei, C. N., Mathioudakis, A. G., Maude, R. J., Mehrabi Nasab, E., Melese, A., Memish, Z. A., Mendoza-Cano, O., Mentis, A. -F. A., Meretoja, T. J., Merid, M. W., Mestrovic, T., Micheletti Gomide Nogueira de Sa, A. C., Mijena, G. F. W., Minh, L. H. N., Mir, S. A., Mirfakhraie, R., Mirmoeeni, S., Mirza, A. Z., Mirza, M., Mirza-Aghazadeh-Attari, M., Misganaw, A. S., Misganaw, A. T., Mohammadi, E., Mohammadi, M., Mohammed, A., Mohammed, S., Mohan, S., Mohseni, M., Moka, N., Mokdad, A. H., Momtazmanesh, S., Monasta, L., Moniruzzaman, M., Montazeri, F., Moore, C. E., Moradi, A., Morawska, L., Mosser, J. F., Mostafavi, E., Motaghinejad, M., Mousavi Isfahani, H., Mousavi-Aghdas, S. A., Mubarik, S., Murillo-Zamora, E., Mustafa, G., Nair, S., Nair, T. S., Najafi, H., Naqvi, A. A., Narasimha Swamy, S., Natto, Z. S., Nayak, B. P., Nejadghaderi, S. A., Nguyen, H. V. N., Niazi, R. K., Nogueira de Sa, A. T., Nouraei, H., Nowroozi, A., Nunez-Samudio, V., Nzoputam, C. I., Nzoputam, O. J., Oancea, B., Ochir, C., Odukoya, O. O., Okati-Aliabad, H., Okekunle, A. P., Okonji, O. C., Olagunju, A. T., Olufadewa, I. I., Omar Bali, A., Omer, E., Oren, E., Ota, E., Otstavnov, N., Oulhaj, A., P A, M., Padubidri, J. R., Pakshir, K., Pakzad, R., Palicz, T., Pandey, A., Pant, S., Pardhan, S., Park, E. -C., Park, E. -K., Pashazadeh Kan, F., Paudel, R., Pawar, S., Peng, M., Pereira, G., Perna, S., Perumalsamy, N., Petcu, I. -R., Pigott, D. M., Piracha, Z. Z., Podder, V., Polibin, R. V., Postma, M. J., Pourasghari, H., Pourtaheri, N., Qadir, M. M. F., Raad, M., Rabiee, M., Rabiee, N., Raeghi, S., Rafiei, A., Rahim, F., Rahimi, M., Rahimi-Movaghar, V., Rahman, A., Rahman, M. O., Rahman, M., Rahman, M. A., Rahmani, A. M., Rahmanian, V., Ram, P., Ramezanzadeh, K., Rana, J., Ranasinghe, P., Rani, U., Rao, S. J., Rashedi, S., Rashidi, M. -M., Rasul, A., Ratan, Z. A., Rawaf, D. L., Rawaf, S., Rawassizadeh, R., Razeghinia, M. S., Redwan, E. M. M., Reitsma, M. B., Renzaho, A. M. N., Rezaeian, M., Riad, A., Rikhtegar, R., Rodriguez, J. A. B., Rogowski, E. L. B., Ronfani, L., Rudd, K. E., Saddik, B., Sadeghi, E., Saeed, U., Safary, A., Safi, S. Z., Sahebazzamani, M., Sahebkar, A., Sakhamuri, S., Salehi, S., Salman, M., Samadi Kafil, H., Samy, A. M., Santric-Milicevic, M. M., Sao Jose, B. P., Sarkhosh, M., Sathian, B., Sawhney, M., Saya, G. K., Seidu, A. -A., Seylani, A., Shaheen, A. A., Shaikh, M. A., Shaker, E., Shamshad, H., Sharew, M. M., Sharhani, A., Sharifi, A., Sharma, P., Sheidaei, A., Shenoy, S. M., Shetty, J. K., Shiferaw, D. S., Shigematsu, M., Shin, J. I., Shirzad-Aski, H., Shivakumar, K. M., Shivalli, S., Shobeiri, P., Simegn, W., Simpson, C. R., Singh, H., Singh, J. A., Singh, P., Siwal, S. S., Skryabin, V. Y., Skryabina, A. A., Soltani-Zangbar, M. S., Song, S., Song, Y., Sood, P., Sreeramareddy, C. T., Steiropoulos, P., Suleman, M., Tabatabaeizadeh, S. -A., Tahamtan, A., Taheri, M., Taheri Soodejani, M., Taki, E., Talaat, I. M., Tampa, M., Tandukar, S., Tat, N. Y., Tat, V. Y., Tefera, Y. M., Temesgen, G., Temsah, M. -H., Tesfaye, A., Tesfaye, D. G., Tessema, B., Thapar, R., Ticoalu, J. H. V., Tiyuri, A., Tleyjeh, I. I., Togtmol, M., Tovani-Palone, M. R., Tufa, D. G., Ullah, I., Upadhyay, E., Valadan Tahbaz, S., Valdez, P. R., Valizadeh, R., Vardavas, C., Vasankari, T. J., Vo, B., Vu, L. G., Wagaye, B., Waheed, Y., Wang, Y., Waris, A., West, T. E., Wickramasinghe, N. D., Xu, X., Yaghoubi, S., Yahya, G. A. T., Yahyazadeh Jabbari, S. H., Yon, D. K., Yonemoto, N., Zaman, B. A., Zandifar, A., Zangiabadian, M., Zar, H. J., Zare, I., Zareshahrabadi, Z., Zarrintan, A., Zastrozhin, M. S., Zeng, W., Zhang, M., Zhang, Z. -J., Zhong, C., Zoladl, M., Zumla, A., Lim, S. S., Vos, T., Naghavi, M., Brauer, M., Hay, S. I., Murray, C. J. L., University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Tampere University, Health Sciences, Clinical Medicine, Kyu, H, Vongpradith, A, Sirota, S, Novotney, A, Troeger, C, Doxey, M, Bender, R, Ledesma, J, Biehl, M, Albertson, S, Frostad, J, Burkart, K, Bennitt, F, Zhao, J, Gardner, W, Hagins, H, Bryazka, D, Dominguez, R, Abate, S, Abdelmasseh, M, Abdoli, A, Abdoli, G, Abedi, A, Abedi, V, Abegaz, T, Abidi, H, Aboagye, R, Abolhassani, H, Abtew, Y, Abubaker Ali, H, Abu-Gharbieh, E, Abu-Zaid, A, Adamu, K, Addo, I, Adegboye, O, Adnan, M, Adnani, Q, Afzal, M, Afzal, S, Ahinkorah, B, Ahmad, A, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, H, Ahmed, J, Ahmed Rashid, T, Akbarzadeh-Khiavi, M, Al Hamad, H, Albano, L, Aldeyab, M, Alemu, B, Alene, K, Algammal, A, Alhalaiqa, F, Alhassan, R, Ali, B, Ali, L, Ali, M, Ali, S, Alimohamadi, Y, Alipour, V, Al-Jumaily, A, Aljunid, S, Almustanyir, S, Al-Raddadi, R, Al-Rifai, R, Alryalat, S, Alvis-Guzman, N, Alvis-Zakzuk, N, Ameyaw, E, Aminian Dehkordi, J, Amuasi, J, Amugsi, D, Anbesu, E, Ansar, A, Anyasodor, A, Arabloo, J, Areda, D, Argaw, A, Argaw, Z, Arulappan, J, Aruleba, R, Asemahagn, M, Athari, S, Atlaw, D, Attia, E, Attia, S, Aujayeb, A, Awoke, T, Ayana, T, Ayanore, M, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Azari Jafari, A, Badar, M, Badiye, A, Baghcheghi, N, Bagherieh, S, Baig, A, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barqawi, H, Barrow, A, Bashiri, A, Bassat, Q, Batiha, A, Belachew, A, Belete, M, Belgaumi, U, Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, Bhatt, P, Bhojaraja, V, Bhutta, Z, Bhuyan, S, Bijani, A, Bitaraf, S, Bodicha, B, Briko, N, Buonsenso, D, Butt, M, Cai, J, Camargos, P, Camera, L, Chakraborty, P, Chanie, M, Charan, J, Chattu, V, Ching, P, Choi, S, Chong, Y, Choudhari, S, Chowdhury, E, Christopher, D, Chu, D, Cobb, N, Cohen, A, Cruz-Martins, N, Dadras, O, Dagnaw, F, Dai, X, Dandona, L, Dandona, R, Dao, A, Debela, S, Demisse, B, Demisse, F, Demissie, S, Dereje, D, Desai, H, Desta, A, Desye, B, Dhingra, S, Diao, N, Diaz, D, Digesa, L, Doan, L, Dodangeh, M, Dongarwar, D, Dorostkar, F, dos Santos, W, Dsouza, H, Dubljanin, E, Durojaiye, O, Edinur, H, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, T, El Desouky, E, El Sayed, I, El Sayed Zaki, M, Elhadi, M, Elkhapery, A, Emami, A, Engelbert Bain, L, Erkhembayar, R, Etaee, F, Ezati Asar, M, Fagbamigbe, A, Falahi, S, Fallahzadeh, A, Faraj, A, Faraon, E, Fatehizadeh, A, Ferrara, P, Ferrari, A, Fetensa, G, Fischer, F, Flavel, J, Foroutan, M, Gaal, P, Gaidhane, A, Gaihre, S, Galehdar, N, Garcia-Basteiro, A, Garg, T, Gebrehiwot, M, Gebremichael, M, Gela, Y, Gemeda, B, Gessner, B, Getachew, M, Getie, A, Ghamari, S, Ghasemi Nour, M, Ghashghaee, A, Gholamrezanezhad, A, Gholizadeh, A, Ghosh, R, Ghozy, S, Goleij, P, Golitaleb, M, Gorini, G, Goulart, A, Goyomsa, G, Guadie, H, Gudisa, Z, Guled, R, Gupta, S, Gupta, V, Guta, A, Habibzadeh, P, Haj-Mirzaian, A, Halwani, R, Hamidi, S, Hannan, M, Harorani, M, Hasaballah, A, Hasani, H, Hassan, A, Hassani, S, Hassanian-Moghaddam, H, Hassankhani, H, Hayat, K, Heibati, B, Heidari, M, Heyi, D, Hezam, K, Holla, R, Hong, S, Horita, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hoveidamanesh, S, Huang, J, Hussein, N, Iavicoli, I, Ibitoye, S, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Ismail, N, Iwagami, M, Jaafari, J, Jamshidi, E, Jang, S, Javadi Mamaghani, A, Javaheri, T, Javanmardi, F, Javidnia, J, Jayapal, S, Jayarajah, U, Jayaram, S, Jema, A, Jeong, W, Jonas, J, Joseph, N, Joukar, F, Jozwiak, J, K, V, Kabir, Z, Kacimi, S, Kadashetti, V, Kalankesh, L, Kalhor, R, Kamath, A, Kamble, B, Kandel, H, Kanko, T, Karaye, I, Karch, A, Karkhah, S, Kassa, B, Katoto, P, Kaur, H, Kaur, R, Keikavoosi-Arani, L, Keykhaei, M, Khader, Y, Khajuria, H, Khan, E, Khan, G, Khan, I, Khan, M, Khan, Y, Khatatbeh, M, Khosravifar, M, Khubchandani, J, Kim, M, Kimokoti, R, Kisa, A, Kisa, S, Kissoon, N, Knibbs, L, Kochhar, S, Kompani, F, Koohestani, H, Korshunov, V, Kosen, S, Koul, P, Koyanagi, A, Krishan, K, Kuate Defo, B, Kumar, G, Kurmi, O, Kuttikkattu, A, Lal, D, Lam, J, Landires, I, Ledda, C, Lee, S, Levi, M, Lewycka, S, Liu, G, Liu, W, Lodha, R, Lorenzovici, L, Lotfi, M, Loureiro, J, Madadizadeh, F, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majidpoor, J, Makki, A, Malakan Rad, E, Malik, A, Mallhi, T, Manla, Y, Matei, C, Mathioudakis, A, Maude, R, Mehrabi Nasab, E, Melese, A, Memish, Z, Mendoza-Cano, O, Mentis, A, Meretoja, T, Merid, M, Mestrovic, T, Micheletti Gomide Nogueira de Sa, A, Mijena, G, Minh, L, Mir, S, Mirfakhraie, R, Mirmoeeni, S, Mirza, A, Mirza, M, Mirza-Aghazadeh-Attari, M, Misganaw, A, Mohammadi, E, Mohammadi, M, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Momtazmanesh, S, Monasta, L, Moniruzzaman, M, Montazeri, F, Moore, C, Moradi, A, Morawska, L, Mosser, J, Mostafavi, E, Motaghinejad, M, Mousavi Isfahani, H, Mousavi-Aghdas, S, Mubarik, S, Murillo-Zamora, E, Mustafa, G, Nair, S, Nair, T, Najafi, H, Naqvi, A, Narasimha Swamy, S, Natto, Z, Nayak, B, Nejadghaderi, S, Nguyen, H, Niazi, R, Nogueira de Sa, A, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Ochir, C, Odukoya, O, Okati-Aliabad, H, Okekunle, A, Okonji, O, Olagunju, A, Olufadewa, I, Omar Bali, A, Omer, E, Oren, E, Ota, E, Otstavnov, N, Oulhaj, A, P A, M, Padubidri, J, Pakshir, K, Pakzad, R, Palicz, T, Pandey, A, Pant, S, Pardhan, S, Park, E, Pashazadeh Kan, F, Paudel, R, Pawar, S, Peng, M, Pereira, G, Perna, S, Perumalsamy, N, Petcu, I, Pigott, D, Piracha, Z, Podder, V, Polibin, R, Postma, M, Pourasghari, H, Pourtaheri, N, Qadir, M, Raad, M, Rabiee, M, Rabiee, N, Raeghi, S, Rafiei, A, Rahim, F, Rahimi, M, Rahimi-Movaghar, V, Rahman, A, Rahman, M, Rahmani, A, Rahmanian, V, Ram, P, Ramezanzadeh, K, Rana, J, Ranasinghe, P, Rani, U, Rao, S, Rashedi, S, Rashidi, M, Rasul, A, Ratan, Z, Rawaf, D, Rawaf, S, Rawassizadeh, R, Razeghinia, M, Redwan, E, Reitsma, M, Renzaho, A, Rezaeian, M, Riad, A, Rikhtegar, R, Rodriguez, J, Rogowski, E, Ronfani, L, Rudd, K, Saddik, B, Sadeghi, E, Saeed, U, Safary, A, Safi, S, Sahebazzamani, M, Sahebkar, A, Sakhamuri, S, Salehi, S, Salman, M, Samadi Kafil, H, Samy, A, Santric-Milicevic, M, Sao Jose, B, Sarkhosh, M, Sathian, B, Sawhney, M, Saya, G, Seidu, A, Seylani, A, Shaheen, A, Shaikh, M, Shaker, E, Shamshad, H, Sharew, M, Sharhani, A, Sharifi, A, Sharma, P, Sheidaei, A, Shenoy, S, Shetty, J, Shiferaw, D, Shigematsu, M, Shin, J, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shobeiri, P, Simegn, W, Simpson, C, Singh, H, Singh, J, Singh, P, Siwal, S, Skryabin, V, Skryabina, A, Soltani-Zangbar, M, Song, S, Song, Y, Sood, P, Sreeramareddy, C, Steiropoulos, P, Suleman, M, Tabatabaeizadeh, S, Tahamtan, A, Taheri, M, Taheri Soodejani, M, Taki, E, Talaat, I, Tampa, M, Tandukar, S, Tat, N, Tat, V, Tefera, Y, Temesgen, G, Temsah, M, Tesfaye, A, Tesfaye, D, Tessema, B, Thapar, R, Ticoalu, J, Tiyuri, A, Tleyjeh, I, Togtmol, M, Tovani-Palone, M, Tufa, D, Ullah, I, Upadhyay, E, Valadan Tahbaz, S, Valdez, P, Valizadeh, R, Vardavas, C, Vasankari, T, Vo, B, Vu, L, Wagaye, B, Waheed, Y, Wang, Y, Waris, A, West, T, Wickramasinghe, N, Xu, X, Yaghoubi, S, Yahya, G, Yahyazadeh Jabbari, S, Yon, D, Yonemoto, N, Zaman, B, Zandifar, A, Zangiabadian, M, Zar, H, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, M, Zeng, W, Zhang, M, Zhang, Z, Zhong, C, Zoladl, M, Zumla, A, Lim, S, Vos, T, Naghavi, M, Brauer, M, Hay, S, Murray, C, HUS Comprehensive Cancer Center, and Department of Oncology
- Subjects
Adult ,Male ,Global Health ,Time ,Global Burden of Disease ,SDG 3 - Good Health and Well-being ,Risk Factors ,RA0421 ,RA0421 Public health. Hygiene. Preventive Medicine ,Humans ,Ambient air-quality ,Child ,Respiratory Tract Infections ,Aged ,Aged, 80 and over ,MCC ,Sex Characteristics ,Malnutrition ,Pyridinolcarbamate ,Bayes Theorem ,3rd-DAS ,3142 Public health care science, environmental and occupational health ,Infectious Diseases ,3121 General medicine, internal medicine and other clinical medicine ,Child, Preschool ,Female ,Particulate Matter ,Quality-Adjusted Life Years ,Covid-19 ,LRI - Abstract
Funding: Bill & Melinda Gates Foundation. Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings: Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation: The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Publisher PDF
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- 2022
11. Reflections: neurology and the humanities. In sickness and in health...until death do us part.
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Mian AI, Niazi R, Mian, Asad I, and Niazi, Rakhshee
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- 2012
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12. The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019
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Khanh Bao Tran, Justin J Lang, Kelly Compton, Rixing Xu, Alistair R Acheson, Hannah Jacqueline Henrikson, Jonathan M Kocarnik, Louise Penberthy, Amirali Aali, Qamar Abbas, Behzad Abbasi, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Hedayat Abbastabar, Michael Abdelmasseh, Sherief Abd-Elsalam, Ahmed Abdelwahab Abdelwahab, Gholamreza Abdoli, Hanan Abdulkadir Abdulkadir, Aidin Abedi, Kedir Hussein Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Abdorrahim Absalan, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Basavaprabhu Achappa, Juan Manuel Acuna, Daniel Addison, Isaac Yeboah Addo, Oyelola A Adegboye, Miracle Ayomikun Adesina, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Shailesh M Advani, Sumia Afrin, Muhammad Sohail Afzal, Manik Aggarwal, Bright Opoku Ahinkorah, Araz Ramazan Ahmad, Rizwan Ahmad, Sajjad Ahmad, Sohail Ahmad, Sepideh Ahmadi, Haroon Ahmed, Luai A Ahmed, Muktar Beshir Ahmed, Tarik Ahmed Rashid, Wajeeha Aiman, Marjan Ajami, Gizachew 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Mokhtar Mohammadi, Abdollah Mohammadian-Hafshejani, Reza Mohammadpourhodki, Arif Mohammed, Shafiu Mohammed, Syam Mohan, Mohammad Mohseni, Nagabhishek Moka, Ali H Mokdad, Alex Molassiotis, Mariam Molokhia, Kaveh Momenzadeh, Sara Momtazmanesh, Lorenzo Monasta, Ute Mons, Ahmed Al Montasir, Fateme Montazeri, Arnulfo Montero, Mohammad Amin Moosavi, Abdolvahab Moradi, Yousef Moradi, Mostafa Moradi Sarabi, Paula Moraga, Lidia Morawska, Shane Douglas Morrison, Jakub Morze, Abbas Mosapour, Ebrahim Mostafavi, Seyyed Meysam Mousavi, Haleh Mousavi Isfahani, Amin Mousavi Khaneghah, Christine Mpundu-Kaambwa, Sumaira Mubarik, Francesk Mulita, Daniel Munblit, Sandra B Munro, Efrén Murillo-Zamora, Jonah Musa, Ashraf F Nabhan, Ahamarshan Jayaraman Nagarajan, Shankar Prasad Nagaraju, Gabriele Nagel, Mohammadreza Naghipour, Mukhammad David Naimzada, Tapas Sadasivan Nair, Atta Abbas Naqvi, Sreenivas Narasimha Swamy, Aparna Ichalangod Narayana, Hasan Nassereldine, Zuhair S Natto, Biswa Prakash Nayak, 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Rashidi, M, Ratan, Z, Rawaf, D, Rawaf, S, Rawal, L, Rawassizadeh, R, Razeghinia, M, Rehman, A, Rehman, I, Reitsma, M, Renzaho, A, Rezaei, M, Rezaei, N, Rezaei, S, Rezaeian, M, Rezapour, A, Riad, A, Rikhtegar, R, Rios-Blancas, M, Roberts, T, Rohloff, P, Romero-Rodriguez, E, Roshandel, G, Rwegerera, G, S, M, Saber-Ayad, M, Saberzadeh-Ardestani, B, Sabour, S, Saddik, B, Sadeghi, E, Saeb, M, Saeed, U, Safaei, M, Safary, A, Sahebazzamani, M, Sahebkar, A, Sahoo, H, Sajid, M, Salari, H, Salehi, S, Salem, M, Salimzadeh, H, Samodra, Y, Samy, A, Sanabria, J, Sankararaman, S, Sanmarchi, F, Santric-Milicevic, M, Saqib, M, Sarveazad, A, Sarvi, F, Sathian, B, Satpathy, M, Sayegh, N, Schneider, I, Schwarzinger, M, Sekerija, M, Senthilkumaran, S, Sepanlou, S, Seylani, A, Seyoum, K, Sha, F, Shafaat, O, Shah, P, Shahabi, S, Shahid, I, Shahrbaf, M, Shahsavari, H, Shaikh, M, Shaka, M, Shaker, E, Shannawaz, M, Sharew, M, Sharifi, A, Sharifi-Rad, J, Sharma, P, Shashamo, B, Sheikh, A, Sheikh, M, Sheikhbahaei, S, Sheikhi, R, Sheikhy, A, Shepherd, P, Shetty, A, Shetty, J, Shetty, R, Shibuya, K, Shirkoohi, R, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shivarov, V, Shobeiri, P, Shokri Varniab, Z, Shorofi, S, Shrestha, S, Sibhat, M, Siddappa Malleshappa, S, Sidemo, N, Silva, D, Silva, L, Silva Julian, G, Silvestris, N, Simegn, W, Singh, A, Singh, G, Singh, H, Singh, J, Singh, P, Singh, S, Sinha, D, Sinke, A, Siraj, M, Sitas, F, Siwal, S, Skryabin, V, Skryabina, A, Socea, B, Soeberg, M, Sofi-Mahmudi, A, Solomon, Y, Soltani-Zangbar, M, Song, S, Song, Y, Sorensen, R, Soshnikov, S, Sotoudeh, H, Sowe, A, Sufiyan, M, Suk, R, Suleman, M, Suliankatchi Abdulkader, R, Sultana, S, Sur, D, Szocska, M, Tabaeian, S, Tabares-Seisdedos, R, Tabatabaei, S, Tabuchi, T, Tadbiri, H, Taheri, E, Taheri, M, Taheri Soodejani, M, Takahashi, K, Talaat, I, Tampa, M, Tan, K, Tat, N, Tat, V, Tavakoli, A, Tehrani-Banihashemi, A, Tekalegn, Y, Tesfay, F, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Ticoalu, J, Tiyuri, A, Tollosa, D, Topor-Madry, R, Touvier, M, Tovani-Palone, M, Traini, E, Tran, M, Tripathy, J, Ukke, G, Ullah, I, Ullah, S, Unnikrishnan, B, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Valdez, P, Vardavas, C, Varthya, S, Vaziri, S, Velazquez, D, Veroux, M, Villeneuve, P, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Vu, L, Wadood, A, Waheed, Y, Walde, M, Wamai, R, Wang, C, Wang, F, Wang, N, Wang, Y, Ward, P, Waris, A, Westerman, R, Wickramasinghe, N, Woldemariam, M, Woldu, B, Xiao, H, Xu, S, Xu, X, Yadav, L, Yahyazadeh Jabbari, S, Yang, L, Yazdanpanah, F, Yeshaw, Y, Yismaw, Y, Yonemoto, N, Younis, M, Yousefi, Z, Yousefian, F, Yu, C, Yu, Y, Yunusa, I, Zahir, M, Zaki, N, Zaman, B, Zangiabadian, M, Zare, F, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, M, Zeineddine, M, Zhang, D, Zhang, J, Zhang, Y, Zhang, Z, Zhou, L, Zodpey, S, Zoladl, M, Vos, T, Hay, S, Force, L, Murray, C, Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, Bill & Melinda Gates Foundation, Kuwait University (Kuwait), Ministry of Higher Education (Malasia), Lega Italiana per la Lotta ai Tumori, Health Effects Institute (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Fundação para a Ciência e Tecnologia (Portugal), African-German Network of Excellence in Science (AGNES), Federal Ministry of Education & Research (Alemania), Alexander von Humboldt Foundation, Novo Nordisk Foundation, National Institute for Health Research (Reino Unido), National Health and Medical Research Council (Australia), Romanian National Authority for Scientific Research and Innovation, Romanian Ministry of Research Innovation and Digitalization, Ministry of Education, Science and Technological Development (Serbia), Sigrid Jusélius Foundation, Finnish Cancer Foundation, Datta Meghe Institute of Medical Sciences (India), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Panjab University (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), Ministry of Science and Technology (Taiwan), Lung Foundation Australia, National Natural Science Foundation of China, Wellcome Trust, UNSW Sydney (Australia), ICMR - National Institute of Epidemiology (India), University of Tasmania (Australia), National Council for Scientific and Technological Development (Brasil), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Institute for Advanced Studies in Basic Sciences (Irán), Ain Shams University (Egipto), International Center of Medical Sciences Research (Islamabad), National Institutes of Health (Estados Unidos), University of Oxford (Reino Unido), National Institute of Genetic Engineering and Biotechnology (Irán), Marga und Walter Boll - Stiftung, Ministero della Salute (Italia), IRCCS Materno Infantile Burlo Garofolo (Italia), King College London, Wellcome Trust/DBT India Alliance (India), Public Health, University of St Andrews. School of Medicine, and University of St Andrews. Population and Behavioural Science Division
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Male ,DEATHS ,DALY, cancer, risk factors ,Medizin ,systematic analysis ,Global Health ,Risk Assessment ,Cancer prevention ,Global Burden of Disease ,RC0254 ,Risk-attributable cancer deaths ,SDG 3 - Good Health and Well-being ,RA0421 ,Risk Factors ,RA0421 Public health. Hygiene. Preventive Medicine ,Quality-Adjusted Life Year ,Neoplasms ,cancer ,Humans ,Global Burden of Disease Study ,UK ,Medicine(all) ,MCC ,RC0254 Neoplasms. Tumors. Oncology (including Cancer) ,Risk Factor ,Smoking ,COVID-19 ,3rd-DAS ,General Medicine ,Disability-adjusted life-years ,SOCIAL DETERMINANTS ,Risk assessments ,risk factor ,Cardiovascular and Metabolic Diseases ,3121 General medicine, internal medicine and other clinical medicine ,OBESITY ,Cancer burden ,Neoplasm ,Female ,LIFE-STYLE ,Quality-Adjusted Life Years ,HEALTH ,RA ,Human ,RC - Abstract
Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. We are grateful to the surveillance systems, including cancer registries, that generated and shared observed cancer burden data. S M Aljunid acknowledges the Department of Health Policy and Management, College of Public Health, Kuwait University for the approval and support to participate in this research project. H Ariffin acknowledges support from the Ministry of Higher Education, Malaysia (grant FRGS/1/2021/SKK0/UM/01/1). F Barra acknowledges support from Lega Italiana per la Lotta contro i Tumori - LILT - Bando 5 x 1000 anno 2019. L Belo and M Carvalho acknowledge the support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. A J Cohen was supported by the Health Effects Institute, Boston, MA, USA. J Conde acknowledges financial support from the European Research Council - ERC Starting Grant 848325. V M Costa acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia (FCT), IP, under the Norma Transitória DL57/2016/CP1334/CT0006. T C Ekundayo was supported by the African-German Network of Excellence in Science (AGNES), the Federal Ministry of Education and Research (BMBF) and the Alexander von Humboldt Foundation (AvH). N Ghith acknowledges support from a grant from Novo Nordisk Foundation (NNF16OC0021856). J C Glasbey is support by a Doctoral Research Fellowship from the National Institute of Health Research (NIHR300175). V K Gupta and V B Gupta acknowledge funding support from National Health and Medical Research Council (NHMRC), Australia. C Herteliu, A Pana, and M Ausloos acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is also partially supported by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported from Operational Programme Research, Development and Education–Project, Postdoc2MUNI (number CZ.02.2. 69/0.0/0.0/18_053/0016952). M Jakovljevic acknowledges partial support through the grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. J H Kauppila acknowledges research grants from Sigrid Jusélius Foundation and the Finnish Cancer Foundation. M N Khatib acknowledges support from Datta Meghe Institute of Medical Sciences (deemed-to-be-university). Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia [XMUMRF/2020-C6/ITCM/0004]. S L Koulmane Laxminarayana acknowledges institutional assistance by Manipal Academy of Higher Education, Manipal. K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. I Landires is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). M-C Li was supported by the Ministry of Science and Technology, Taiwan (MOST 110-2314-B-003-001). G Liu acknowledges support from the CREATE Hope scientific fellowship from Lung Foundation Australia. J Liu acknowledges support from the National Natural Science Foundation (72122001). J A Loureiro was supported by Scientific Employment Stimulus (FCT; CEECINST/00049/2018). E Mathews is supported by a Clinical and Public Health Early Career Fellowship (grant number IA/CPHE/17/1/503345) from the DBT India Alliance/Wellcome Trust Department of Biotechnology, India Alliance (2018–2023). T J Meretoja was supported by an unrestricted grant from Cancer Foundation Finland sr. S Mohammed acknowledges a fellowship grant from Alexander von Humboldt Foundation, outside the submitted work. M Molokhia is supported by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. L Monasta received support from the Italian Ministry of Health at the Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste - Italy (RC 34/2017). U Mons is supported by the Marga and Walter Boll Foundation, Kerpen, Germany. M A Moosavi acknowledges the financial support of National Institute of Genetics Engineering and Biotechnology (NIGEB). J Musa acknowledges support from the NIH/FICK43TW011416 for research-protected time for cervical cancer research and career development at University of Jos. V Nuñez-Samudio is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). O O Odukoya acknowledges support by the Fogarty International Center of the National Institutes of Health under the award number K43TW010704 for research-protected time. The content is solely the responsibility of all the authors and does not necessarily represent the official views of the National Institutes of Health. A S Oguntade acknowledges funding by a doctoral scholarship from the Nuffield Department of Population Health, University of Oxford (Oxford Population Health). J R Padubidri acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for their constant support in research collaborations. R G Pestell acknowledges support from NIH grant W81XWH1810605 Breast Cancer Research, Breakthrough Grant R21 CA235139-01. Z Z Piracha acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad (44000), Pakistan. R A Radhakrishnan acknowledges support from Wellcome Trust/DBT India Alliance - IA/CPHI/18/1/503927. U Saeed acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program. F Sha was supported by the Shenzhen Science and Technology Program (grant number KQTD20190929172835662). H R Shahsavari acknowledges the Institute for Advanced Studies in Basic Sciences (IASBS) Research Council. A Shetty acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. D A S Silva acknowledges financing in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001 and D A S Silva is supported in part by CNPq-Brazil (309589/2021-5). L M L R Silva was supported by project CENTRO-04-3559-FSE-000162, Fundo Social Europeu (FSE). Am Singh is supported by the International Graduate Research Scholarship, University of Tasmania. R Suliankatchi Abdulkader acknowledges support from ICMR—National Institute of Epidemiology. B Unnikrishnan acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal. H Xiao acknowledges support from the Public Health Sciences Division of the Fred Hutchinson Cancer Research Center. X Xu is supported by the University of New South Wales (Australia) Scientia Program. C Yu was supported by the National Natural Science Foundation of China (grant number 82173626) and Wuhan Medical Research Program of Joint Fund of Hubei Health Committee (grant number WJ2019H304). Sí
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- 2022
13. Naphthalene or Mothball Poisoning Manifesting as Acute Intravascular Hemolysis and Acquired Methemoglobinemia.
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Roghani SH, Arif MA, Niazi R, and Mansoor S
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Naphthalene is a major component of mothballs. Domestically, people use mothballs as an insect repellent. Its deliberate or accidental ingestion leading to toxicity has rarely been reported in the medical literature, despite its widespread use in Southeast Asia. Naphthalene, or mothball poisoning, is a rare but serious condition that can have detrimental effects on human health. This case report presents the clinical course of a 22-year-old male who ingested six naphthalene balls, resulting in severe symptoms including fever, abdominal pain, vomiting, jaundice, and dark-colored urine. Laboratory investigations were suggestive of acute intravascular hemolysis and methemoglobinemia. The patient was promptly admitted to the hospital, where he received supportive care along with specific treatment in the form of red blood cell transfusions, intravenous methylene blue, ascorbic acid, and N-acetyl cysteine. Through this report, the importance of raising awareness about the dangers of naphthalene poisoning and the specific treatment options available is highlighted., Competing Interests: Human subjects: Consent was obtained or waived by all participants in this study. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work., (Copyright © 2024, Roghani et al.)
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- 2024
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14. Comparative expression analysis of sucrose phosphate synthase gene family in a low and high sucrose Pakistani sugarcane cultivars.
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Niazi R, Parveen G, Noman M, Mukhtar N, Hadayat N, Sami A, Khaliq B, Shrestha J, and Ullah I
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- Pakistan, Phylogeny, Edible Grain, Sucrose, Saccharum genetics
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Sugarcane is the world's largest cultivated crop by biomass and is the main source of sugar and biofuel. Sucrose phosphate synthase (SPS) enzymes are directly involved in the synthesis of sucrose. Here, we analyzed and compared one of the important gene families involved in sucrose metabolism in a high and low sucrose sugarcane cultivar. A comprehensive in silico analysis of the SoSPS family displayed their phylogenetic relationship, gene and protein structure, miRNA targets, protein interaction network (PPI), gene ontology and collinearity. This was followed by a spatial expression analysis in two different sugarcane varieties. The phylogenetic reconstruction distributed AtSPS, ZmSPS, OsSPS, SoSPS and SbSPS into three main groups (A, B, C). The regulatory region of SoSPS genes carries ABRE , ARE , G-box, and MYC as the most dominant cis-regulatory elements. The PPI analysis predicted a total of 14 unique proteins interacting with SPS. The predominant expression of SPS in chloroplast clearly indicates that they are the most active in the organelle which is the hub of photosynthesis. Similarly, gene ontology attributed SPS to sucrose phosphate synthase and glucosyl transferase molecular functions, as well as sucrose biosynthetic and disaccharide biological processes. Overall, the expression of SPS in CPF252 (high sucrose variety) was higher in leaf and culm as compared to that of CPF 251 (low sucrose variety). In brief, this study adds to the present literature about sugarcane, sucrose metabolism and role of SPS in sucrose metabolism thereby opening up further avenues of research in crop improvement., Competing Interests: Jiban Shrestha is an Academic Editor for PeerJ., (©2023 Niazi et al.)
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- 2023
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15. Assessment Of Quality Of Life Of Stroke Survivors And Their Caregivers Presenting To A Tertiary Care Hospital In Pakistan.
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Rehman AU, Niazi R, Rehman HU, and Javed A
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- Humans, Pakistan, Tertiary Care Centers, Quality of Life, Caregivers
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- 2023
16. Lymphatic disorders caused by mosaic, activating KRAS variants respond to MEK inhibition.
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Sheppard SE, March ME, Seiler C, Matsuoka LS, Kim SE, Kao C, Rubin AI, Battig MR, Khalek N, Schindewolf E, O'Connor N, Pinto E, Priestley JR, Sanders VR, Niazi R, Ganguly A, Hou C, Slater D, Frieden IJ, Huynh T, Shieh JT, Krantz ID, Guerrero JC, Surrey LF, Biko DM, Laje P, Castelo-Soccio L, Nakano TA, Snyder K, Smith CL, Li D, Dori Y, and Hakonarson H
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- Animals, Humans, Endothelial Cells metabolism, Phosphorylation, Mitogen-Activated Protein Kinase Kinases metabolism, Zebrafish Proteins genetics, Zebrafish Proteins metabolism, Zebrafish, Proto-Oncogene Proteins p21(ras) genetics, Proto-Oncogene Proteins p21(ras) metabolism
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Central conducting lymphatic anomaly (CCLA) due to congenital maldevelopment of the lymphatics can result in debilitating and life-threatening disease with limited treatment options. We identified 4 individuals with CCLA, lymphedema, and microcystic lymphatic malformation due to pathogenic, mosaic variants in KRAS. To determine the functional impact of these variants and identify a targeted therapy for these individuals, we used primary human dermal lymphatic endothelial cells (HDLECs) and zebrafish larvae to model the lymphatic dysplasia. Expression of the p.Gly12Asp and p.Gly13Asp variants in HDLECs in a 2‑dimensional (2D) model and 3D organoid model led to increased ERK phosphorylation, demonstrating these variants activate the RAS/MAPK pathway. Expression of activating KRAS variants in the venous and lymphatic endothelium in zebrafish resulted in lymphatic dysplasia and edema similar to the individuals in the study. Treatment with MEK inhibition significantly reduced the phenotypes in both the organoid and the zebrafish model systems. In conclusion, we present the molecular characterization of the observed lymphatic anomalies due to pathogenic, somatic, activating KRAS variants in humans. Our preclinical studies suggest that MEK inhibition should be studied in future clinical trials for CCLA due to activating KRAS pathogenic variants.
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- 2023
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17. Assessment of quality of life of stroke survivors and their caregivers presenting to a tertiary care hospital in Pakistan.
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Rehman AU, Niazi R, Rehman HU, and Javed A
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- Male, Female, Humans, Middle Aged, Aged, Quality of Life, Caregivers, Pakistan, Tertiary Care Centers, Survivors, Stroke, Stroke Rehabilitation
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Objective: To determine the quality of life of stroke survivors and their caregivers presenting to a tertiary care setup., Methods: The descriptive study was conducted from July to December 2019 at the Neurology Department, Pakistan Institute of Medical Sciences, Islamabad, Pakistan, and comprised patients of either gender with ischaemic or haemorrhagic stroke aged 40-70 years and their caregivers. Data was collected using the stroke-specific quality of life Scale and the caregiver quality of life questionnaire. Data was analysed using SPSS 20., Results: Of the 80 patients, 50(62.5%) were males and 30(37.5%) were females. The overall mean age was 61.46±11.80 years, and 56(70%) were aged >55 years. Among the patients, speaking power, mobility and mood were more affected with mean levels of 15.51±8.63, 22.63±8.33 and 19.08±7.05, respectively. The domains of social role, self-care and upper extremity function were also affected with mean values of 19.022±7.06, 15.71±8.81 and 18.88±7.02, respectively. Among the caregivers, the levels of physical wellbeing and functional wellbeing were high 15.07±5.65 and 15.35±5.76, respectively. There were differences in terms of age and gender but the difference was not significant (p>0.05)., Conclusions: The quality of life of stroke survivors was low, and that of caregivers was also quite compromised.
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- 2022
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18. Awareness and adherence to lifestyle modifications in hypertensive patients presenting to a tertiary care setting.
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Rehman AU, Niazi R, Rehman HU, and Javed A
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- Adult, Aged, Blood Pressure, Blood Pressure Determination, Female, Humans, Life Style, Male, Middle Aged, Overweight epidemiology, Overweight therapy, Tertiary Healthcare, Hypertension epidemiology, Hypertension therapy
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Objective: To assess the level of awareness and adherence to lifestyle modifications in hypertensive patients., Methods: The descriptive study was conducted from January to June 2019 at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, and comprised adult patients of either gender with hypertension history of at least 1 year. Data was collected using a structured questionnaire to evaluate the subjects' awareness and adherence to lifestyle modifications for the control of hypertension. Data was analysed using SPSS 20., Results: Of the 294 patients, 160(54.4%) were women. The overall mean age was 53.3±12.1 years and mean body mass index was 27.1±5.9kg/m2, and mean duration of hypertension was 8.2±7.1 years. There were 122(41.5%) obese and 97(33%) overweight patients. Overall, 201(68.4%) patients had co-morbidities and 40(13.6%) were smokers. Of the total, 205(69.7%) knew the importance of exercise, but 104(35.4%) were doing it; 270(91.8%) were aware of restriction of sodium diet, but 244(83%) were adhering to it; 222(75.5%) knew the importance of dietary approaches to stop hypertension, but 185(62.9%) were adhering to it; and 247(84%) were aware that regular blood pressure measurement and follow-ups were important, but 150(51%) were adhering to it., Conclusions: The level of awareness regarding lifestyle modifications was found to be high in hypertensive patients, but the status of adherence was not up to the mark.
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- 2022
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19. Fabrication of Guided Tissue Regeneration Membrane Using Lignin-Mediated ZnO Nanoparticles in Biopolymer Matrix for Antimicrobial Activity.
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Bilal B, Niazi R, Nadeem S, Farid MA, Nazir MS, Akhter T, Javed M, Mohyuddin A, Rauf A, Ali Z, Naqvi SAR, Muhammad N, Elkaeed EB, Ibrahium HA, Awwad NS, and Hassan SU
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Periodontal disease is a common complication, and conventional periodontal surgery can lead to severe bleeding. Different membranes have been used for periodontal treatment with limitations, such as improper biodegradation, poor mechanical property, and no effective hemostatic property. Guided tissue regeneration (GTR) membranes favoring periodontal regeneration were prepared to overcome these shortcomings. The mucilage of the chia seed was extracted and utilized to prepare the guided tissue regeneration (GTR) membrane. Lignin having antibacterial properties was used to synthesize lignin-mediated ZnO nanoparticles (∼Lignin@ZnO) followed by characterization with analytical techniques like Fourier-transform infrared spectroscopy (FTIR), UV-visible spectroscopy, and scanning electron microscope (SEM). To fabricate the GTR membrane, extracted mucilage, Lignin@ZnO, and polyvinyl alcohol (PVA) were mixed in different ratios to obtain a thin film. The fabricated GTR membrane was evaluated using a dynamic fatigue analyzer for mechanical properties. Appropriate degradation rates were approved by degradability analysis in water for different intervals of time. The fabricated GTR membrane showed excellent antibacterial properties against Staphylococcus aureus ( S. aureus ) and Escherichia coli ( E. coli ) bacterial species., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Bilal, Niazi, Nadeem, Farid, Nazir, Akhter, Javed, Mohyuddin, Rauf, Ali, Naqvi, Muhammad, Elkaeed, Ibrahium, Awwad and Hassan.)
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- 2022
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20. Clinically significant findings of high-risk mutations in human SLC29A4 gene associated with diabetes mellitus type 2 in Pakistani population.
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Moeez S, Khalid S, Shaeen S, Khalid M, Zia A, Gul A, Niazi R, and Khalid Z
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- Humans, Pakistan, Molecular Docking Simulation, Polymorphism, Single Nucleotide, Mutation, Missense, Equilibrative Nucleoside Transport Proteins genetics, Diabetes Mellitus, Type 2 genetics, Diabetes Mellitus, Type 2 drug therapy, Metformin therapeutic use
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This study conducted an in-depth analysis combining computational and experimental verifications of the deleterious missense mutations associated with the SLC29A4 protein. The functional annotation of the non-synonymous single nucleotide polymorphism (nsSNPs), followed by structure-function analysis, revealed 13 single nucleotide polymorphisms (SNP) as the most damaging. Among these, six mutants P429T/S, L144S, M108V, N86H, and V79E, were predicted as structurally and functionally damaging by protein stability analysis. Also, these variants are located at evolutionary conserved regions, either buried, contributing to the structural damage, or exposed, causing functional changes in the protein. These mutants were further taken for molecular docking studies. When verified via experimental analysis, the SNPs M108V (rs149798710), N86H (rs151039853), and V79E (rs17854505) showed an association with type 2 diabetes mellitus (T2DM). Minor allele frequency for rs149798710 (A > G) was 0.23 in controls, 0.29 in metformin responders, 0.37 in metformin non-responder, for rs151039853 (A > C) was 0.21 in controls, 0.28 in metformin responders, 0.36 in metformin non-responder and for rs17854505 (T > A) was 0.20 in controls, 0.25 in metformin responders, 0.37 in metformin non-responder. Hence, this study concludes that SLC29A4 M108V (rs149798710), N86H (rs151039853), and V79E (rs17854505) polymorphisms were associated with the increased risk of T2DM as well as with the increased risk towards the failure of metformin therapeutic response in T2DM patients of Pakistan. Communicated by Ramaswamy H. Sarma.
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- 2022
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21. Pre-exposure Prophylaxis With Various Doses of Hydroxychloroquine Among Healthcare Personnel With High-Risk Exposure to COVID-19: A Randomized Controlled Trial.
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Syed F, Hassan M, Arif MA, Batool S, Niazi R, Laila UE, Ashraf S, and Arshad J
- Abstract
Objective This trial aimed to evaluate the safety and efficacy of pre-exposure prophylaxis (PrEP) with various hydroxychloroquine (HCQ) doses against a placebo among healthcare personnel (HCP) with high-risk exposure to coronavirus disease 2019 (COVID 19). Methods A phase II, randomized, placebo-controlled trial was conducted including 200 subjects with no active or past severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (antibody testing and reverse transcription-polymerase chain reaction (RT-PCR) were taken at the time of enrollment). Subjects of experimental groups one to three received HCQ in various doses and the control group received a placebo. The study outcomes in terms of safety and efficacy were monitored. Participants exhibiting COVID-19 symptoms were tested for SARS-CoV-2 during the study and by the end of week 12 with RT-PCR or serology testing (COVID-19 IgM/IgG antibody testing). Results Out of the total participants, 146 reported exposure to a confirmed COVID-19 case in the first month, and 192 were exposed by week 12 of the study. Moreover, the precautionary use of personal protective equipment (PPE) significantly varied; initially more than 80% of the exposed HCPs were not ensuring PPE being used by the patients treated by them, which gradually developed over time. Mild treatment-related side effects were observed among the interventional and placebo arm patients. There was no significant clinical benefit of PrEP with HCQ as compared to placebo (p>0.05). Conclusion It is concluded that the PrEP HCQ does not significantly prevent COVID-19 among high-risk HCPs., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Syed et al.)
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- 2021
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22. Frequencies of Beta Thalassemia Mutations Show Different Pattern in Bannu Region than Other Parts of Pashtun Population in Khyber Pakhtunkhwa Province Pakistan.
- Author
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Rehman SU, Shakeel M, Azam M, Akhtar S, Ziaullah, and Niazi R
- Abstract
Purpose: β-Thalassemia arises as result of mutations in HBB gene, influencing the globin production which results in hypochromic and microcytic anaemia. The present study was aimed to investigate the occurrence of six common β-thal mutations, its inheritance pattern, frequency, and consanguinity in parents of Bannu region Khyber Pakhtunkhwa (KP) province, Pakistan. Conducting such studies may impart important information about thalassemia prevention like prenatal diagnosis (PND), carrier screening and genetic counselling which may be helpful in controlling the suspected births., Methods: During the study, 250 blood samples were retrieved from different families comprising of one transfusion dependent child and sporadic patients from different areas of Bannu region. The collected blood samples were investigated to see if there is any common mutations which may trigger β-Thalassemia employing amplification refractory mutation system-polymerase chain reaction (ARMS-PCR) approach., Results: Amongst the studied mutation in District Bannu, frame shift codons (FSC) 8/9 (+ G) (HBB: c.27_28insG) was observed to be the most common mutation followed by Codons 41/42 (- TTCT), IVS-I-5(G > C) and FSC 5 (- CT) having frequencies of 42, 26, 19 and 13 respectively. The results obtained by the present study were found different from previous studies demonstrated from other Pashtun regions of KP, showing heterogeneity in frequencies of known mutations., Conclusion: These observations may help in implementing parental meetings about disease recurrence in future, large scale mutation screening, and prenatal diagnosis in the whole Pashtun ethnicity including District Bannu., Competing Interests: Conflicts of interestThe authors declared no conflicts of interest here., (© Indian Society of Hematology and Blood Transfusion 2021.)
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- 2021
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23. Enteric Fever: Diagnostic Dilemma Encountered in Domperidone-Induced Neuroleptic Malignant Syndrome.
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Akhunzada HA, Rehman H, Tariq N, Arif MA, and Niazi R
- Abstract
Enteric fever is a multisystem illness caused by Salmonella Typhi and Salmonella Paratyphi, and it is associated with a spectrum of conditions ranging from minor cases of diarrhea and low-grade fever to a potentially fatal illness that can lead to gastrointestinal (GI) perforation, hemorrhage, central nervous system (CNS) involvement. Neuroleptic malignant syndrome (NMS) is predominantly described as an idiosyncratic reaction to neuroleptic medications. However, it has also been associated with a variety of drugs that reduce dopaminergic activity. In this report, we present the case of a young woman who had enteric fever and was prescribed IV ceftriaxone and domperidone. She subsequently developed NMS secondary to domperidone. We highlight the challenges faced when dealing with two potentially lethal medical conditions presenting concurrently and their overlapping symptoms. The patient was treated for both of the conditions and recovered completely., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2021, Akhunzada et al.)
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- 2021
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24. The oracle study - fibromyalgia, prevalence and severity in the hospital setting in the Pakistani population.
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Arif MA, Syed F, Niazi R, Arif SA, Hashmi UEL, and Shah Z
- Subjects
- Cross-Sectional Studies, Female, Hospitals, Humans, Pakistan epidemiology, Prevalence, Severity of Illness Index, United States, Fibromyalgia epidemiology
- Abstract
Objective: To assess the prevalence and severity of fibromyalgia in hospital-visiting patients., Methods: The cross-sectional study was conducted at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from July, 2018, to January, 2019, and comprised patients aged 18-75 years of either gender. Demographic information, comorbidities and previous medications were recorded for each patient. The modified American College of Rheumatology preliminary diagnostic criteria 2010-11 for fibromyalgia diagnosis. If diagnosed, the fibromyalgia impact questionnaire was administered to assess its severity. Data was analysed using SPSS 25., Results: Of the 750 hospital-visiting patients, fibromyalgia was diagnosed in 250(33.3%); 190(76%) of them being females (p<0.0001). Comorbidities, age and increased elevated body mass index were significantly associated with fibromyalgia. Severity was not influenced by comorbidities, marital status, education or economic status (p>0.05). Menarche at a later age and menstrual irregularity were associated with fibromyalgia severity (p<0.05)., Conclusions: The hospital-based prevalence of fibromyalgia was found to be high, especially among females.
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- 2021
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25. A cross sectional study to assess nasal carriage of methicillin resistant Staphylococcus aureus in healthcare professionals in a tertiary care hospital.
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Syed F, Akhtar N, Arif MA, Ramzan AR, Niazi R, Hasnain SU, Hanif MD, Asghar S, and Naheed A
- Subjects
- Anti-Bacterial Agents pharmacology, Carrier State epidemiology, Cross-Sectional Studies, Delivery of Health Care, Health Personnel, Humans, Infant, Microbial Sensitivity Tests, Tertiary Care Centers, Methicillin-Resistant Staphylococcus aureus, Staphylococcal Infections drug therapy, Staphylococcal Infections epidemiology
- Abstract
Objective: To determine the nasal carriage of staphylococcus aureus and methicillin-resistant staphylococcus aureus among healthcare workers in a tertiary care setting., Methods: The cross-sectional study was conducted at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from April to July 2018, and comprised healthcare workers at the institution. Nasal swabs were collected and cultured on Mannitol salt agar. Mannitol fermenting colonies which were gram-positive cocci, catalase-positive and coagulase-positive were identified as staphylococcus aureus. Antibiotic susceptibility test was performed by modified Kirby-Bauer disc diffusion method. Methicillin resistance was detected using cefoxitin disc diffusion method. Data was analysed using SPSS 23., Results: Of the 210 nasal swabs, 52(24.76%) had a staphylococcus aureus growth, and of them, 15(7.1%) were methicillin-resistant. No association could be established with either any single category of healthcare worker or an inter-department variation (p>0.05). Likewise, there was no association with age, gender, duration of service, smoking, co-morbidities, use of antibiotics in the preceding six months, treating a patient with methicillin-resistant staphylococcus aureus in the preceding six months and hospitalisation in the preceding year (p>0.05)., Conclusions: The frequency of nasal carriage of methicillin resistant staphylococcus aureus amongst healthcare workers was regardless of the nature of their professional engagement.
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- 2021
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26. DAR-GRACE: Diabetes and Ramadan: glycaemic control, physician counselling and patient practices -experience from a tertiary care hospital in Pakistan.
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Syed F, Arif MA, Ramzan A, Niazi R, Murtaza MI, and Javed A
- Subjects
- Counseling, Cross-Sectional Studies, Fasting, Female, Glycemic Control, Humans, Islam, Male, Pakistan, Tertiary Care Centers, Diabetes Mellitus, Type 2 therapy, Physicians
- Abstract
Objective: To identify patient practices and knowledge pertaining to Ramadan fasting and to see whether physicians were providing adequate counselling and adjusting medications accordingly., Methods: The cross-sectional study was conducted at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from June to August 2018, and comprised diabetic patients who fasted during Ramadan. A questionnaire was designed to assess patients' knowledge, risk category, pre-Ramadan counselling, medication adjustment, lifestyle changes, pre- and post- Ramadan glycated haemoglobin levels, and complications during Ramadan. Data was analysed using SPSS 23., Results: Out of 272 diabetics, 176(64.7%) were females. Mean number of fasts kept were 22±10.61. Pre-Ramadan 120(44.1%) patients consulted their physicians and 105(87.5%) of them received relevant counselling. Medications were adjusted in only 30 (25%) such cases. Overall, 41(15.1%) patients were in the high risk category, while 109(40.1%) and 122(44.9%) were in the moderate and low-risk categories. During the month, 17(6.25%) were hospitalised due to diabetes-related complications. Glycated haemoglobin levels fell significantly (p<0.0001)., Conclusions: Anomalous patient behaviours and suboptimal physician practices were noticed.
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- 2020
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27. Assessment of red cell distribution width, glycaemic control and diabetes related complications - the ARDENT Study.
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Arif MA, Syed F, Niazi R, Arif SA, Javed MU, Bashir A, and Mansoor S
- Subjects
- Adult, Aged, Aged, 80 and over, Cross-Sectional Studies, Diabetes Mellitus, Type 2 drug therapy, Diabetes Mellitus, Type 2 epidemiology, Diabetes Mellitus, Type 2 metabolism, Diabetic Angiopathies epidemiology, Female, Humans, Hypertension blood, Hypertension epidemiology, Hypoglycemic Agents therapeutic use, Male, Middle Aged, Pakistan epidemiology, Time Factors, Blood Glucose metabolism, Diabetes Mellitus, Type 2 blood, Diabetic Angiopathies blood, Erythrocyte Indices, Glycated Hemoglobin metabolism
- Abstract
Objective: To assess the association of red cell distribution width with glycaemic control and the presence of complications in diabetes patients., Methods: The cross-sectional study was done at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from September to November 2017, and comprised patients with type 2 diabetes. Clinical and demographical characteristics were documented and they were subjected to complete blood count, red cell distribution width, glycated haemoglobin, fasting and random blood glucose, lipid profile, urea and creatinine. The presence of complications were assessed during clinical examination. SPSS 20 was used for data analysis.., Results: There were 349 patients with a mean age of 53.14±11.77 years. The mean duration of diabetes was 8.36±6.64 years and mean glycated haemoglobin was 9.05±1.93. Red cell distribution width was significantly associated with the duration of diabetes, hypertension, macrovascular and microvascular complications and extent of glycaemic control (p<0.0001 each). A statistically significant linear relationship was observed between red cell distribution width and the number of macrovascular and microvascular complications (p<0.0001) and glycated haemoglobin (p<0.0001). Mean red cell distribution width was 13.94±1.66, 14.72±1.38, and 15.76±1.55 for optimal control, borderline control and poor control respectively. This linear incremental pattern was statistic ally significant (p<0.0001)., Conclusions: The linear association of red cell distribution width with glycated haemoglobin may enable its use as a measure of the extent of hyperglycaemia.
- Published
- 2019
28. Rapid and accurate interpretation of clinical exomes using Phenoxome: a computational phenotype-driven approach.
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Wu C, Devkota B, Evans P, Zhao X, Baker SW, Niazi R, Cao K, Gonzalez MA, Jayaraman P, Conlin LK, Krock BL, Deardorff MA, Spinner NB, Krantz ID, Santani AB, Tayoun ANA, and Sarmady M
- Subjects
- Computational Biology, Databases, Genetic, Humans, Exome genetics, Genetic Heterogeneity, Software, Exome Sequencing statistics & numerical data
- Abstract
Clinical exome sequencing (CES) has become the preferred diagnostic platform for complex pediatric disorders with suspected monogenic etiologies. Despite rapid advancements, the major challenge still resides in identifying the casual variants among the thousands of variants detected during CES testing, and thus establishing a molecular diagnosis. To improve the clinical exome diagnostic efficiency, we developed Phenoxome, a robust phenotype-driven model that adopts a network-based approach to facilitate automated variant prioritization. Phenoxome dissects the phenotypic manifestation of a patient in concert with their genomic profile to filter and then prioritize variants that are likely to affect the function of the gene (potentially pathogenic variants). To validate our method, we have compiled a clinical cohort of 105 positive patient samples that represent a wide range of genetic heterogeneity. Phenoxome identifies the causative variants within the top 5, 10, or 25 candidates in more than 50%, 71%, or 88% of these exomes, respectively. Furthermore, we show that our method is optimized for clinical testing by outperforming the current state-of-art method. We have demonstrated the performance of Phenoxome using a clinical cohort and showed that it enables rapid and accurate interpretation of clinical exomes. Phenoxome is available at https://phenoxome.chop.edu/ .
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- 2019
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29. [Late-onset rheumatoid arthritis: clinical, biological, and therapeutic features About a retrospective study].
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Zulfiqar AA, Niazi R, Pennaforte JL, and Andres E
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- Adrenal Cortex Hormones therapeutic use, Age of Onset, Aged, Aged, 80 and over, Antibodies, Monoclonal, Humanized therapeutic use, Antirheumatic Agents therapeutic use, Biological Therapy, Comorbidity, Disease Progression, Female, Humans, Male, Methotrexate therapeutic use, Referral and Consultation statistics & numerical data, Retrospective Studies, Arthritis, Rheumatoid therapy
- Abstract
Rheumatoid arthritis (RA) is the most common chronic inflammatory rheumatism in adults. The objective of our study was to analyze the clinical, biological and therapeutic characteristics in subjects over 60 years old., Patients and Methods: We performed a retrospective, monocentric, descriptive study on medical records consultations. The data collection concerned subjects over 60 years of age who had been diagnosed with "rheumatoid arthritis" in the rheumatology and internal medicine departments of CHU Reims over a period stretching from 2010 to 2015., Results: Thirty-two patients were included in our study for this period. The mean age of diagnosis was 66.6 years, for a median age of 67.5 years (min: 60 years, max: 88 years). There were 22 female (69%) and 10 male (31%) patients, with a sex ratio H/F of 2.2. The mean duration of symptom progression before diagnosis was 33.2 months. What dominates our series is the inaugural involvement of the interphalangeal proximal, wrists, shoulders and metacarpophalangeal for the vast majority of cases. Oral corticosteroids were used in 27 patients and were the only treatment in 3 patients. Methotrexate (MTX) was introduced in 27 patients. Nine patients received biotherapy: it was tocilizumab (Roactemra®) for 5 patients, adalimumab (Humira®) for 2 patients, abatacept (Orencia®) for 2 patients, etanercept (Enbrel®) for 2 patients, golimumab (Simponi®) for 1 patient and infliximab (Remicade®) for one patient. In our series, 7 patients are over 75 years old at the time of diagnosis of RA., Conclusion: The rheumatoid arthritis of the elderly remains a common condition and constitutes a diagnostic and therapeutic challenge. Because of the co-morbidities, the clinician's perception of the patient's overall condition and the inaccuracies in the use of certain molecules in these patients, under-treatment may, on the contrary, weaken a patient whose remission will be postponed. This was not the case in our series, with a methodical use of methotrexate as well as effective dose biotherapies.
- Published
- 2019
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30. A mutation update for the PCDH19 gene causing early-onset epilepsy in females with an unusual expression pattern.
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Niazi R, Fanning EA, Depienne C, Sarmady M, and Abou Tayoun AN
- Subjects
- Age of Onset, Exons genetics, Female, Genetic Association Studies, Humans, Male, Protocadherins, Cadherins genetics, Epilepsy genetics, Mutation genetics
- Abstract
The PCDH19 gene consists of six exons encoding a 1,148 amino acid transmembrane protein, Protocadherin 19, which is involved in brain development. Heterozygous pathogenic variants in this gene are inherited in an unusual X-linked dominant pattern in which heterozygous females are affected, while hemizygous males are typically unaffected, although they pass on the pathogenic variant to each affected daughter. PCDH19-related disorder is known to cause early-onset epilepsy in females characterized by seizure clusters exacerbated by fever and in most cases, onset is within the first year of life. This condition was initially described in 1971 and in 2008 PCDH19 was identified as the underlying genetic etiology. This condition is the result of pathogenic loss-of-function variants that may be de novo or inherited from an affected mother or unaffected father and cellular interference has been hypothesized to be the culprit. Heterozygous females are symptomatic because of the presence of both wild-type and mutant cells that interfere with one another due to the production of different surface proteins, whereas nonmosaic hemizygous males produce a homogenous population of cells. Here, we review novel pathogenic variants in the PCDH19 gene since 2012 to date, and summarize any genotype-phenotype correlations., (© 2018 Wiley Periodicals, Inc.)
- Published
- 2019
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31. The ATONE study - assessment of diabetes knowledge in individuals with type 2 diabetes in the Pakistani population.
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Syed F, Arif MA, Ramzan A, Niazi R, Musarrat S, and Kayani MM
- Subjects
- Adult, Aged, Cross-Sectional Studies, Diet, Exercise, Female, Humans, Hypoglycemia, Hypoglycemic Agents, Insulin, Literacy, Male, Middle Aged, Pakistan, Social Class, Surveys and Questionnaires, Urban Population, Diabetes Complications, Diabetes Mellitus, Type 2, Health Knowledge, Attitudes, Practice, Self Care
- Abstract
Objective: To evaluate knowledge of diabetes using diabetes knowledge questionnaire in diabetic patients., Methods: The cross-sectional study was conducted at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from October to December 2017, and comprised subjects aged >20 years with a diagnosis of type 2 diabetes. The modified version of diabetes knowledge questionnaire was used for data collection. It had 24 questions concerning patient's diabetes knowledge and self-care practices. One point was given for each correct answer. The highest achievable score was 24. A total score of ?12 was considered suggestive of adequate knowledge. SPSS 23 was used for data analysis., Results: Of the 401 subjects, 175 (43.6%) were males and 226 (66.4%) were females. The overall mean age was 52.9 }12.3 years, and mean duration of diabetes was 7.95}6.7 years. The mean score on the questionnaire was 9.97}3.93. Only 135(33.7%) patients showed adequate knowledge of the disease. Factors having positive correlation with the score were patient's urban background, level of literacy and their socioeconomic status (p<0.05 each). The duration of diabetes and the control of diabetes had no influence on the scores (p>0.05 each)., Conclusions: Knowledge about diabetes was found to be generally poor among diabetics.
- Published
- 2019
32. Cardiovascular disease risk factors in Pakistani population with newly diagnosed Type 2 diabetes mellitus: A cross-sectional study of selected family practitioner clinics in four provinces of Pakistan (CardiP Study).
- Author
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Raza SA, Hassan M, Badar F, Rasheed F, Meerza F, Azam S, Jawa A, Hassan I, Qureshi FM, Alvi Z, Mahar SA, Aamir AH, Niazi R, and Islam N
- Subjects
- Adult, Age Factors, Blood Glucose metabolism, Blood Pressure, Cardiovascular Diseases epidemiology, Cholesterol metabolism, Cholesterol, HDL metabolism, Cholesterol, LDL metabolism, Cross-Sectional Studies, Family Practice, Female, Glycated Hemoglobin metabolism, Humans, Lipoproteins, VLDL metabolism, Male, Middle Aged, Pakistan epidemiology, Prospective Studies, Risk Factors, Triglycerides metabolism, Coronary Disease epidemiology, Diabetes Mellitus, Type 2 metabolism, Stroke epidemiology
- Abstract
Objective: To explore cardiovascular risk factors in people with newly-diagnosed type 2 diabetes mellitus., Methods: The cross-sectional, prospective, multicentre, study was conducted from June 2014 till July 2015 at family practice clinics in 27 cities across Pakistan, and comprised individuals aged 30-50 years diagnosed with type 2 diabetes mellitus within the preceding six months. Laboratory investigations were conducted at Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, and Aga Khan University Hospital, Karachi. The 10-year absolute risk of fatal or non-fatal coronary heart disease and stroke was calculated using the United Kingdom Prospective Diabetes Study Risk Engine version 2.0. Data were analysed using SPSS 19., Results: Out of 888 subjects, 362(40.8%) were women and 526(59.2%) were men. The overall mean presenting age was 42.4}5.8 years. After stratification by age, those ≥40 years were significantly associated with higher glycated haemoglobin (p=0.02) and those ≤39 years were associated with higher levels of very low density lipoprotein (p=0.001) and triglyceride (p=0.006). The mean risk estimate for CHD was 9.7% (95% Confidence Interval (CI) 9.0- 10.1)), for fatal CHD 4.4% (95% CI 4.0-4.6), for stroke 1.5% (95% CI 1.2-1.7), and for fatal stroke 0.25% (95% CI 0.24- 0.26)., Conclusions: There is a need for screening cardiovascular risk factors even in younger age groups of newlydiagnosed diabetes.
- Published
- 2019
33. Evaluation of the rs3088442 G>A SLC22A3 Gene Polymorphism and the Role of microRNA 147 in Groups of Adult Pakistani Populations With Type 2 Diabetes in Response to Metformin.
- Author
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Moeez S, Riaz S, Masood N, Kanwal N, Arif MA, Niazi R, and Khalid S
- Subjects
- Adult, Case-Control Studies, Drug Resistance genetics, Female, Gene Frequency, Genotype, Humans, Male, MicroRNAs genetics, Odds Ratio, Pakistan, Polymorphism, Single Nucleotide, Diabetes Mellitus, Type 2 drug therapy, Hypoglycemic Agents therapeutic use, Metformin therapeutic use, MicroRNAs metabolism, Organic Cation Transport Proteins genetics
- Abstract
Objectives: Type 2 diabetes is a complex genetic disorder, and a large number of genetic polymorphisms may be involved in its pathogenesis. Pharmacologically, type 2 diabetes can be treated with 9 different approved classes of drugs, but metformin is suggested as the first line of therapy, followed by sulfonylureas., Methods: This was a case-control study consisting of 300 metformin responders and 300 metformin nonresponders in patients with type 2 diabetes and 300 healthy Pakistani subjects. Genotyping of the SLC22A3 G>A polymorphism was performed by allele-specific polymerase chain reaction (PCR) for microRNA 147 expression; real-time polymerase chain reaction was used, and expressional analysis of SLC22A3 was done by semiquantitative polymerase chain reaction., Results: GA and AA genotypes were highly significantly associated with the drug treatments when compared with controls. A statistically significant difference was observed in the distribution of the SLC22A3 A allele between healthy subjects and patients with type 2 diabetes. When odds ratios were adjusted for glycated hemoglobin levels and postprandial and fasting blood glucose levels, our findings showed that the overexpression of allele A of the rs3088442 G>A variant may act as a protective allele and is associated with the clinical response to metformin. microRNA 147 expression was found to be increased in patients who were metformin responders compared with the nonresponder group and controls. mRNA expression of SLC22A3 was significantly reduced in patients taking metformin as compared to other groups., Conclusions: These results suggested that the SLC22A3 rs3088442 at position 2282 A allele may confer metformin clinical responses in patients with type 2 diabetes in the Pakistani population. Overexpression of microRNA 147 is associated with a downward expression of the SLC22A3 gene in patients who have type 2 diabetes., (Copyright © 2018 Diabetes Canada. Published by Elsevier Inc. All rights reserved.)
- Published
- 2019
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34. Effects of SLC22A2 (rs201919874) and SLC47A2 (rs138244461) genetic variants on Metformin Pharmacokinetics in Pakistani T2DM patients.
- Author
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Moeez S, Khalid Z, Jalil F, Irfan M, Ismail M, Arif MA, Niazi R, and Khalid S
- Subjects
- Adult, Case-Control Studies, Female, Gene Frequency, Genetic Predisposition to Disease, Humans, Hypoglycemic Agents pharmacology, Male, Middle Aged, Organic Cation Transport Proteins genetics, Pakistan epidemiology, Pharmacogenomic Testing, Polymorphism, Single Nucleotide, Diabetes Mellitus, Type 2 diagnosis, Diabetes Mellitus, Type 2 drug therapy, Diabetes Mellitus, Type 2 genetics, Glycated Hemoglobin analysis, Metformin pharmacology, Organic Cation Transporter 2 genetics
- Abstract
Objective: To determine the frequencies of single nucleotide polymorphisms rs201919874 and rs138244461 in genes SLC22A2 and SLC47A2 respectively in Pakistani diabetes patients in order to characterise the genetic variants and determine their association with the pharmacokinetics of metformin., Methods: The case-control study was conducted at the International Islamic University, Islamabad, Pakistan, from June 2016 to June 2017, and comprised genotypes of diabetic cases and matching controls which were determined following allele-specific polymerase chain reaction. Cases were further divided into Group A and Group B. The former consisted of diabetics who were on monotherapy of metformin, while the latter consisted of diabetics treated with a combination of metformin and sulfonylureas. In-silico analysis was performed to verify the effect of single nucleotide polymorphisms rs201919874 and rs138244461 on the structure of genes. Association was statistically determined using SPSS 18., Results: Of the 1200 subjects, 800(66.6%) were cases and 400(33.3%) were controls. Among the cases, 400(50%) each were in Group A and Group B. Significant difference was observed in the distribution of rs201919874 between Group A and controls (p<0.05) and between Group B and controls (p<0.05) for heterozygous genotypic frequency and for allelic frequency. Conversely, statistically significant difference was observed in rs138244461 (p<0.05) for all genotypic and allelic frequencies. Genotypes were significantly associated with glycated haemoglobin, random and fasting glucose levels in Group A compared to Group B (p<0.05). In-silico analysis showed that both single nucleotide polymorphisms were expected to create significantly damaging structural changes in domains and helix (p<0.05 each)., Conclusions: Both exonic single nucleotide polymorphisms were found to be associated with the pharmacokinetics of metformin.
- Published
- 2019
35. Foot-care behaviour amongst diabetic patients attending a federal care hospital in Pakistan.
- Author
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Syed F, Arif MA, Afzal M, Niazi R, Ramzan A, and Hashmi UE
- Subjects
- Adult, Attitude to Health, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Needs Assessment, Pakistan, Socioeconomic Factors, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 epidemiology, Diabetic Foot etiology, Diabetic Foot psychology, Health Behavior, Health Literacy, Patient Education as Topic methods
- Abstract
Objective: To assess foot-care behaviour in diabetics attending a tertiary care hospital, and to see if there are any influencing factors., Methods: The cross-sectional descriptive study was conducted from September to November 2017 at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, and comprised diabetes patients either admitted to the wards or attending the outpatient clinics. Foot-care behaviour was assessed through the validated Nottingham Assessment of Functional Foot-care scale. A score over 50 demonstrated adequate foot-care behaviour. The score was correlated with several variables. SPSS 23 was used for data analysis., Results: Of the 400 individuals, 238(59.5%) were females and 162(40.5%) were males. The overall mean age was 52.71}11.84 years. Of the total, 228(57%) had never received any education on proper foot-care; 289(72.3%) had a scale score of less than or equal to 50. Urban or rural residence, monthly income, literacy level, family history of diabetes, and previous foot-care education provided by the healthcare provider were significant factors associated with good foot-care behaviour (p<0.05 each)., Conclusions: A majority of the patients demonstrated inadequate foot-care behaviour..
- Published
- 2019
36. [Rheumatoid arthritis and cardiovascular risk factor : literature review].
- Author
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Zulfiqar AA, Niazi R, Pennaforte JL, and Andres E
- Subjects
- Cardiovascular Diseases prevention & control, Humans, Risk Factors, Arthritis, Rheumatoid complications, Cardiovascular Diseases etiology
- Abstract
The rheumatoid arthritis remains a common condition and constitutes a diagnostic and therapeutic challenge, especially in the elderly. Rheumatoid arthritis is known to be associated with increased mortality, including coronary and cerebrovascular atherosclerosis. A literature review is conducted on the role of rheumatoid arthritis as a cardiovascular risk factor.
- Published
- 2018
37. Unusual Case of an Infant with Urinary Tract Infection Presenting as Cholestatic Jaundice.
- Author
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Niazi R, Baharoon B, Neyas A, Alaifan M, and Safdar O
- Abstract
Neonatal jaundice is considered one of the most common reasons for admission to the pediatric medical ward. We report a case of a 1-month-old infant who presented with jaundice but no fever or any other signs of systemic illnesses. Laboratory test results revealed high direct hyperbilirubinemia, and urine culture showed a urinary tract infection with Enterobacter cloacae as the causative agent. He was admitted to the pediatric medical ward where he was treated with a course of antibiotics for 14 days, and cholestasis resolved completely following a course of antibiotics. We conclude that direct hyperbilirubinemia can be related to urinary tract infection in neonates. It is unusual for urinary tract infection to present clinically and biochemically as cholestatic jaundice.
- Published
- 2018
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38. The Development and Validation of Clinical Exome-Based Panels Using ExomeSlicer: Considerations and Proof of Concept Using an Epilepsy Panel.
- Author
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Niazi R, Gonzalez MA, Balciuniene J, Evans P, Sarmady M, and Abou Tayoun AN
- Subjects
- Exons genetics, Humans, Sequence Analysis, DNA, Epilepsy genetics, Exome genetics, Software
- Abstract
Exome-based panels are becoming the preferred diagnostic strategy in clinical laboratories. This approach enables dynamic gene content update and, if needed, cost-effective reflex to whole-exome sequencing. Currently, no guidelines or appropriate resources are available to support the clinical implementation of exome-based panels. Here, we highlight principles and important considerations for the clinical development and validation of exome-based panels. In addition, we developed ExomeSlicer, a novel, web-based resource, which uses empirical exon-level next-generation sequencing quality metrics to predict and visualize technically challenging exome-wide regions in any gene or genes of interest. Exome sequencing data from 100 clinical epilepsy cases were used to illustrate the clinical utility of ExomeSlicer in predicting poor-quality regions and its impact on streamlining the ad hoc Sanger sequencing fill in burden. With the use of ExomeSlicer, >2100 low complexity and/or high-homology regions affecting >1615 genes across the exome were also characterized. These regions can be a source of false-positive or false-negative variant calls, which can lead to misdiagnoses in tested patients and/or inaccurate functional annotations. We provide important considerations and a novel resource for the clinical development of exome-based panels., (Copyright © 2018 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.)
- Published
- 2018
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39. Allele-Specific Droplet Digital PCR Combined with a Next-Generation Sequencing-Based Algorithm for Diagnostic Copy Number Analysis in Genes with High Homology: Proof of Concept Using Stereocilin.
- Author
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Amr SS, Murphy E, Duffy E, Niazi R, Balciuniene J, Luo M, Rehm HL, and Abou Tayoun AN
- Subjects
- Case-Control Studies, Hearing Loss genetics, High-Throughput Nucleotide Sequencing, Humans, Intercellular Signaling Peptides and Proteins, Proof of Concept Study, Algorithms, Alleles, DNA Copy Number Variations, Membrane Proteins genetics, Polymerase Chain Reaction methods
- Abstract
Background: Copy number variants (CNVs) can substantially contribute to the pathogenic variant spectrum in several disease genes. The detection of this type of variant is complicated in genes with high homology to other genomic sequences, yet such genomics regions are more likely to lead to CNVs, making it critical to address detection in these settings., Methods: We developed a copy number analysis approach for high homology genes/regions that consisted of next-generation sequencing (NGS)-based dosage analysis accompanied by allele-specific droplet digital PCR (ddPCR) confirmatory testing. We applied this approach to copy number analysis in STRC , a gene with 98.9% homology to a nonfunctional pseudogene, pSTRC , and characterized its accuracy in detecting different copy number states by use of known samples., Results: Using a cohort of 517 patients with hearing loss, we prospectively demonstrated the clinical utility of the approach, which contributed 30 of the 122 total positives (6%) to the diagnostic yield, increasing the overall yield from 17.6% to 23.6%. Positive STRC genotypes included homozygous (n = 15) or compound heterozygous (n = 8) deletions, or heterozygous deletions in trans with pathogenic sequence variants (n = 7). Finally, this approach limited ddPCR testing to cases with NGS copy number findings, thus markedly reducing the number of costly and laborious, albeit specific, ddPCR tests., Conclusions: NGS-based CNV detection followed by allele-specific ddPCR confirmatory testing is a reliable and affordable approach for copy number analysis in medically relevant genes with homology issues., (© 2017 American Association for Clinical Chemistry.)
- Published
- 2018
- Full Text
- View/download PDF
40. Association of dyslipidaemia in patients with varying degrees of Vitamin D deficiency in the Asian population.
- Author
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Arif MA, Niazi R, and Arif SA
- Subjects
- Adolescent, Adult, Aged, Cholesterol blood, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Pakistan epidemiology, Triglycerides blood, Vitamin D blood, Young Adult, Asian People statistics & numerical data, Dyslipidemias complications, Dyslipidemias epidemiology, Vitamin D Deficiency complications, Vitamin D Deficiency epidemiology
- Abstract
Objective: To investigate the associations of dyslipidaemia with varying levels of 25 hydroxy vitamin D3 deficiency., Methods: This cross-sectional study was conducted at the Pakistan Institute of Medical Sciences, Islamabad, Pakistan, from July 2016 to January 2017, and comprised patients having varying levels of 25 hydroxy vitamin D3 deficiency. Patients were stratified according to the severity of deficiency and had their serum fasting lipid profiles measured. SPSS 20 was used for data analysis., Results: Of the 175 participants, 124(70.9%) were female and 51(29.1%) were male. The overall mean age of the patients was 47.7±12.2 years (range: 18-65 years). A very strong inverse correlation was found between vitamin D levels and low-density lipoprotein cholesterol (p<0.001) and a similar trend was obtained for vitamin D and total cholesterol (p<0.001). With regards to triglycerides, a modest inverse correlation was found (p=0.05). No significant association was documented between 25 hydroxy vitamin D3 levels and high-density lipoprotein cholesterol (p=0.3)., Conclusions: An inversely proportional relationship was found between total cholesterol, low-density lipoprotein cholesterol and triglycerides against varying levels of vitamin D deficiency.
- Published
- 2017
41. Association of metabolic factors with dengue viral infection on admission triage which predict its clinical course during Lahore dengue epidemic.
- Author
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Baig Mirza AM, Fida M, Murtaza G, Niazi R, Hanif A, Irfan K, and Masud F
- Subjects
- Adult, Aged, Dengue epidemiology, Dengue metabolism, Dengue Virus, Epidemics, Humans, Middle Aged, Risk Factors, Severe Dengue, Dengue diagnosis, Diabetes Complications, Hypertension complications, Triage
- Abstract
Objective: The study was done to identify metabolic factors which were associated with an increased risk of dengue haemorrhagic fever in clinically diagnosed patients of dengue viral infection., Methods: 563 patients with dengue viral infection that presented to 3 tertiary care hospitals of Lahore were included in this study, out of which approximately half of the patients were diagnosed as dengue haemorrhagic fever., Results: A total of 563 patients with 263(46.7%) dengue fever and 300(53.3%) dengue haemorrhagic fever patients were studied. The mean age of patients was 48.48 ± 20.07 years. In patients younger than 60 (n=355), 171 patients had DF and 184 had DHF, while 116 patients above 60 years had DHF and 92 had DF (n=208). The presence of metabolic risk factors such as diabetes (OR = 2.146), hypertension (OR =1.65), diabetes and hypertension (OR =3.56), abnormal liver function tests (OR = 2.27), abnormal renal function tests (OR = 2.282) all increased the risk of DHF relative to DF., Conclusions: The study showed that metabolic factors especially diabetes with and without hypertension are important risk factors for the development of DHF.
- Published
- 2016
42. TRNT1 deficiency: clinical, biochemical and molecular genetic features.
- Author
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Wedatilake Y, Niazi R, Fassone E, Powell CA, Pearce S, Plagnol V, Saldanha JW, Kleta R, Chong WK, Footitt E, Mills PB, Taanman JW, Minczuk M, Clayton PT, and Rahman S
- Subjects
- Anemia, Sideroblastic genetics, Developmental Disabilities genetics, Humans, Mutation genetics, Nucleotidyltransferases genetics, Protein Biosynthesis genetics, RNA, Transfer genetics, Mitochondrial Diseases genetics, Nucleotidyltransferases deficiency
- Abstract
Background: TRNT1 (CCA-adding transfer RNA nucleotidyl transferase) enzyme deficiency is a new metabolic disease caused by defective post-transcriptional modification of mitochondrial and cytosolic transfer RNAs (tRNAs)., Results: We investigated four patients from two families with infantile-onset cyclical, aseptic febrile episodes with vomiting and diarrhoea, global electrolyte imbalance during these episodes, sideroblastic anaemia, B lymphocyte immunodeficiency, retinitis pigmentosa, hepatosplenomegaly, exocrine pancreatic insufficiency and renal tubulopathy. Other clinical features found in children include sensorineural deafness, cerebellar atrophy, brittle hair, partial villous atrophy and nephrocalcinosis. Whole exome sequencing and bioinformatic filtering were utilised to identify recessive compound heterozygous TRNT1 mutations (missense mutation c.668T>C, p.Ile223Thr and a novel splice mutation c.342+5G>T) segregating with disease in the first family. The second family was found to have a homozygous TRNT1 mutation (c.569G>T), p.Arg190Ile, (previously published). We found normal mitochondrial translation products using passage matched controls and functional perturbation of 3' CCA addition to mitochondrial tRNAs (tRNA(Cys), tRNA(LeuUUR) and tRNA(His)) in fibroblasts from two patients, demonstrating a pathomechanism affecting the CCA addition to mt-tRNAs. Acute management of these patients included transfusion for anaemia, fluid and electrolyte replacement and immunoglobulin therapy. We also describe three-year follow-up findings after treatment by bone marrow transplantation in one patient, with resolution of fever and reversal of the abnormal metabolic profile., Conclusions: Our report highlights that TRNT1 mutations cause a spectrum of disease ranging from a childhood-onset complex disease with manifestations in most organs to an adult-onset isolated retinitis pigmentosa presentation. Systematic review of all TRNT1 cases and mutations reported to date revealed a distinctive phenotypic spectrum and metabolic and other investigative findings, which will facilitate rapid clinical recognition of future cases.
- Published
- 2016
- Full Text
- View/download PDF
43. Induced abortions and unintended pregnancies in pakistan.
- Author
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Sathar Z, Singh S, Rashida G, Shah Z, and Niazi R
- Subjects
- Adolescent, Adult, Aftercare methods, Aftercare standards, Family Planning Services, Female, Health Services Needs and Demand, Humans, Pakistan epidemiology, Pregnancy, Women's Health Services standards, Abortion, Induced methods, Abortion, Induced statistics & numerical data, Contraception methods, Contraception statistics & numerical data, Contraception Behavior statistics & numerical data, Pregnancy, Unplanned, Pregnancy, Unwanted
- Abstract
During the past decade, unmet need for family planning has remained high in Pakistan and gains in contraceptive prevalence have been small. Drawing upon data from a 2012 national study on postabortion-care complications and a methodology developed by the Guttmacher Institute for estimating abortion incidence, we estimate that there were 2.2 million abortions in Pakistan in 2012, an annual abortion rate of 50 per 1,000 women. A previous study estimated an abortion rate of 27 per 1,000 women in 2002. After taking into consideration the earlier study's underestimation of abortion incidence, we conclude that the abortion rate has likely increased substantially between 2002 and 2012. Varying contraceptive-use patterns and abortion rates are found among the provinces, with higher abortion rates in Baluchistan and Sindh than in Khyber Pakhtunkhwa and Punjab. This suggests that strategies for coping with the other wise uniformly high unintended pregnancy rates will differ among provinces. The need for an accelerated and fortified family planning program is greater than ever, as is the need to implement strategies to improve the quality and coverage of postabortion services., (© 2014 The Population Council, Inc.)
- Published
- 2014
- Full Text
- View/download PDF
44. Depression after delivery: risk factors, diagnostic and therapeutic considerations.
- Author
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Scrandis DA, Sheikh TM, Niazi R, Tonelli LH, and Postolache TT
- Subjects
- Animals, Depression, Postpartum immunology, Depression, Postpartum psychology, Emergency Services, Psychiatric, Female, Hospitalization, Humans, Mass Screening, Risk Factors, Depression, Postpartum diagnosis, Depression, Postpartum therapy
- Abstract
Postpartum mood disorders can negatively affect women, their offspring, and their families when left untreated. The identification and treatment of postpartum depression remains problematic since health care providers may often not differentiate postpartum blues from depression onset. Recent studies found potentially new risk factors, etiologies, and treatments; thus, possibly improving the untreated postpartum depression rates. This integrated review examined several postpartum psychiatric disorders, postpartum blues, generalized anxiety, obsessive compulsive disorder, post-traumatic stress disorder, and postpartum psychosis for current findings on prevalence, etiologies, risk factors, and postpartum depression treatments.
- Published
- 2007
- Full Text
- View/download PDF
45. Comparison of bedtime NPH insulin or metformin combined with glibenclamide in secondary sulphonylurea failure in obese type II (NIDDM) patients.
- Author
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Niazi R and Muzaffar Z
- Subjects
- Adult, Drug Therapy, Combination, Female, Humans, Male, Middle Aged, Prospective Studies, Treatment Outcome, Diabetes Mellitus, Type 2 drug therapy, Glyburide therapeutic use, Hypoglycemic Agents therapeutic use, Insulin therapeutic use, Metformin therapeutic use
- Abstract
Objective: To compare the effects of bedtime NPH Insulin vs Metformin combined with Glibenclamide in patients who are obese and had secondary failure to sulphonylurea treatment., Design and Methods: Prospective, randomized, comparative study of patients having type-II diabetes, without complications with associated obesity and secondary failure to sulphonylureas. Thirty-six obese patients who continued to have blood glucose values of fasting > 150 mg/dl and/or random > 220 mg/dl, after 8 weeks of intensive dietary and drug therapy., Interventions: For the 20 weeks of study, the patients were randomised in two equal groups, one receiving 20 to 40 units of NPH Insulin at bed time and the second group, Metformin upto a maximum dose of 3 grams, along with Sulphonylureas., Results: Both the groups showed, a significant reduction in the blood glucose values, with an average decrease of 50 mg/dl. The other monitored parameters, such as, serum cholesterol, triglycerides and blood pressure values, also demonstrated a similar downwards trend. However, the drop out rate was high in the Insulin treated group and the remainder group did show slight increase in weight and BMI, while the reverse, stood true, for the metformin group, with 100% compliance rate., Conclusion: Metformin, in obese, type II diabetics, with secondary failure to Sulphonylureas, is an effective, safe and well tolerated treatment, which not only improves the metabolic control but also favourably modifies other parameters such as weight, total cholesterol and triglyceride values.
- Published
- 1998
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