Author: "Hill, CL" / Search Limiters: Full Text - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"Hill, CL"' showing total 223 results

Start Over Author "Hill, CL" Search Limiters Full Text

223 results on '"Hill, CL"'

1. Gout Knowledge: A Survey of Australian Outpatients with Gout

Author: Chin A, Adams RJ, Gill TK, and Hill CL
Subjects: gout, patient knowledge, risk factors, protective factors, Diseases of the musculoskeletal system, RC925-935
Abstract: Athena Chin,1 Robert J Adams,2 Tiffany K Gill,3 Catherine L Hill1,4 1Rheumatology Unit, The Queen Elizabeth Hospital, Woodville South, South Australia, Australia; 2Flinders Health and Medical Research Institute – Sleep Health, Flinders University, Bedford Park, South Australia, Australia; 3Adelaide Medical School, University of Adelaide, Adelaide, South Australia, Australia; 4Discipline of Medicine, University of Adelaide, Adelaide, South Australia, AustraliaCorrespondence: Athena Chin, Email athena.chin@sa.gov.auBackground: The prevalence of gout has increased in the Western societies due to ageing and increasing BMI. Recently, lifestyle and dietary factors have been linked in epidemiological studies with an alteration of the risk of gout; however, there remains a lack of data on patient knowledge of these factors. The purpose of this survey-based study was to determine the knowledge of gout and its treatment both in the community and specialist care settings.Methods: Participants were recruited from a hospital rheumatology outpatient department, consumer organization and a random sample of participants from a population-based cohort who had self-reported gout in South Australia. Participants completed a survey regarding basic demographics, the Single Item Literacy Screener, use of medication and diet for treatment of their gout and knowledge of gout.Results: Seventy-four people were recruited (87% male) with a mean age of 66 years (range 35– 88). The mean duration of gout was 16.6 years (range 0– 60). On screening with SILS, 19.0% were identified as having limited reading ability. Most gout was managed by the family practitioner (81.1%) and/or rheumatologist (18.9%). In regard to current gout medications, 52.7% were taking allopurinol, 17.6% colchicine, 9.5% non-steroidal anti-inflammatory drugs, 6.8% prednisolone and 5.4% herbal preparations. For further information regarding gout, participants would most commonly approach their general practitioner (85.1%). Most participants correctly identified certain triggers to gout attacks and almost half of participants (41.9%) reported that they had altered their diet due to gout. Conversely, participants often incorrectly identified common risk or protective factors for gout.Conclusion: Gout remains a common, yet undertreated, chronic condition. Our study highlights a lack of knowledge amongst patients of risk and protective factors in relation to gout. The increasing prevalence of gout within the population indicates a need to improve education and understanding among those with the condition.Keywords: gout, patient knowledge, risk factors, protective factors
Published: 2024

2. Patient Perspectives of Disease Activity, Medications and Substance Use in People with Fibromyalgia

Author: Khoo T, Hill CL, Hoon E, and Whittle S
Subjects: fibromyalgia, comorbidity, analgesics, opioid, cannabinoids, anti-inflammatory agents, Diseases of the musculoskeletal system, RC925-935
Abstract: Thomas Khoo,1 Catherine L Hill,1– 3 Elizabeth Hoon,4,5 Samuel Whittle1 1Rheumatology Unit, The Queen Elizabeth Hospital, Adelaide, South Australia, Australia; 2Rheumatology Unit, The Royal Adelaide Hospital, Adelaide, South Australia, Australia; 3Discipline of Medicine, University of Adelaide, Adelaide, South Australia, Australia; 4Discipline of General Practice, University of Adelaide, Adelaide, South Australia, Australia; 5School of Public Health, The University of Adelaide, Adelaide, South Australia, AustraliaCorrespondence: Thomas Khoo, Rheumatology Unit, The Queen Elizabeth Hospital, Adelaide, South Australia, 5011, Australia, Email thomas.khoo@sa.gov.auObjective: To explore patient perspectives on disease activity and experiences, as well as medication use of a group of fibromyalgia patients attending a single-centre rheumatology public hospital outpatient setting.Methods: Patients seen in fibromyalgia clinic within a rheumatology unit from July 2016 to December 2019 were posted a voluntary survey with questionnaires pertaining to patient-reported measures of disease impact (FIQR), fatigue (MFI-20) and psychological distress (K10). A free-text section allowed description of disease impact. Patients were also asked to record medication use and comorbidities, which were then compared to the electronic medical records (EMR) of the overall clinic cohort.Results: Forty-five patients responded to the survey (43/45, 95.6% female; mean age 56.5 years). Respondents had generally severe fibromyalgia (mean FIQR 67.1/100, range 23.7– 92.8), moderate psychological distress (mean K10 27.5/50, range 14– 45) and high fatigue (mean MFI 74.9/100, range 40– 96). Free-text responses generated themes of pervasive disease impact and the necessity of adjusting life around unpredictable symptoms. Almost half reported opioid (21/45, 46.7%) and gabapentinoid (19/45, 42.2%) use. 16/41 (39%) use cannabinoids for their fibromyalgia symptoms. Comparing medication use with survey non-respondents (n=85), there was generally similar representation except for significantly greater NSAID use among survey respondents (33/45, 73.3% vs 22/85, 25.9%, p< 0.001).Conclusion: For patients living with fibromyalgia in this study, there were high levels of disease activity, psychological distress and fatigue. Patients described the need to accept disease-imposed limitations and life adjustments. Almost half reported opioid use, despite evidence suggesting poor efficacy and possible harm.Keywords: fibromyalgia, comorbidity, analgesics, opioid, cannabinoids, anti-inflammatory agents
Published: 2022

3. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

Author: Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M-A, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NME, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, RM, Alanezi, FM, Alanzi, TM, Al-Azzam, S, Albakri, A, Albashtawy, M, AlBataineh, MT, Alcalde-Rabanal, JE, Aldawsari, KA, Aldhaleei, WA, Aldridge, RW, Alema, HB, Alemayohu, MA, Alemi, S, Alemu, YM, Al-Gheethi, AAS, Alhabib, KF, Alhalaiqa, FAN, Al-Hanawi, MK, Ali, A, Ali, L, Ali, MU, Ali, R, Ali, S, Ali, SSS, Alicandro, G, Alif, SM, Alikhani, R, Alimohamadi, Y, Aliyi, AA, Aljasir, MAM, Aljunid, SM, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, SAA, Almazan, JU, Al-Mekhlafi, HM, Almidani, L, Almidani, O, Alomari, MA, Al-Omari, B, Alonso, J, Alqahtani, JS, Alqalyoobi, S, Alqutaibi, AY, Al-Sabah, SK, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alwafi, H, Al-Worafi, YM, Aly, H, Aly, S, Alzoubi, KH, Amani, R, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Amusa, GA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Angus, C, Anil, A, Anil, S, Anoushiravani, A, Ansari, H, Ansariadi, A, Ansari-Moghaddam, A, Antony, CM, Antriyandarti, E, Anvari, D, Anvari, S, Anwar, S, Anwar, SL, Anwer, R, Anyasodor, AE, Aqeel, M, Arab, JP, Arabloo, J, Arafat, M, Aravkin, AY, Areda, D, Aremu, A, Aremu, O, Ariffin, H, Arkew, M, Armocida, B, Arndt, MB, Ärnlöv, J, Arooj, M, Artamonov, AA, Arulappan, J, Aruleba, RT, Arumugam, A, Asaad, M, Asadi-Lari, M, Asgedom, AA, Asghariahmadabad, M, Asghari-Jafarabadi, M, Ashraf, M, Aslani, A, Astell-Burt, T, Athar, M, Athari, SS, Atinafu, BTT, Atlaw, HW, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awedew, AF, Aweke, AM, Ayala Quintanilla, BP, Ayatollahi, H, Ayuso-Mateos, JL, Ayyoubzadeh, SM, Azadnajafabad, S, Azevedo, RMS, Azzam, AY, B, DB, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bahmanziari, N, Bai, R, Baig, AA, Baker, JL, Bako, AT, Bakshi, RK, Balakrishnan, S, Balasubramanian, M, Baltatu, OC, Bam, K, Banach, M, Bandyopadhyay, S, Banik, PC, Bansal, H, Bansal, K, Barbic, F, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Barteit, S, Barua, L, Basharat, Z, Bashiri, A, Basiru, A, Baskaran, P, Basnyat, B, Bassat, Q, Basso, JD, Basting, AVL, Basu, S, Batra, K, Baune, BT, Bayati, M, Bayileyegn, NS, Beaney, T, Bedi, N, Beghi, M, Behboudi, E, Behera, P, Behnoush, AH, Behzadifar, M, Beiranvand, M, Bejarano Ramirez, DF, Béjot, Y, Belay, SA, Belete, CM, Bell, ML, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bender, RG, Bensenor, IM, Beran, A, Berezvai, Z, Berhie, AY, Berice, BN, Bernstein, RS, Bertolacci, GJ, Bettencourt, PJG, Beyene, KA, Bhagat, DS, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhandari, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhardwaj, PV, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bisulli, F, Biswas, A, Biswas, B, Bitaraf, S, Bitew, BD, Bitra, VR, Bjørge, T, Boachie, MK, Boampong, MS, Bobirca, AV, Bodolica, V, Bodunrin, AO, Bogale, EK, Bogale, KA, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bonakdar Hashemi, M, Bonny, A, Bora, K, Bora Basara, B, Borhany, H, Borzutzky, A, Bouaoud, S, Boustany, A, Boxe, C, Boyko, EJ, Brady, OJ, Braithwaite, D, Brant, LC, Brauer, M, Brazinova, A, Brazo-Sayavera, J, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Briko, NI, Britton, G, Brown, J, Brugha, T, Bulamu, NB, Bulto, LN, Buonsenso, D, Burns, RA, Busse, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Cao, C, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Carvalheiro, CG, Carvalho, F, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Cederroth, CR, Cegolon, L, Cembranel, F, Cenderadewi, M, Cercy, KM, Cerin, E, Cevik, M, Chadwick, J, Chahine, Y, Chakraborty, C, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Chang, C-K, Chang, J-C, Chanie, GS, Charalampous, P, Chattu, VK, Chaturvedi, P, Chatzimavridou-Grigoriadou, V, Chaurasia, A, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Chen, S, Cheng, C-Y, Cheng, ETW, Cherbuin, N, Cheru, WA, Chien, J-H, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Chopra, H, Choudhari, SG, Chowdhury, R, Christopher, DJ, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cindi, Z, Cioffi, I, Claassens, MM, Claro, RM, Coberly, K, Cogen, RM, Columbus, A, Comfort, H, Conde, J, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Cousin, E, Couto, RAS, Cowden, RG, Cramer, KM, Criqui, MH, Cruz-Martins, N, Cuadra-Hernández, SM, Culbreth, GT, Cullen, P, Cunningham, M, Curado, MP, Dadana, S, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalli, LL, Damiani, G, Darega Gela, J, Das, JK, Das, S, Dascalu, AM, Dash, NR, Dashti, M, Dastiridou, A, Davey, G, Dávila-Cervantes, CA, Davis Weaver, N, Davletov, K, De Leo, D, de Luca, K, Debele, AT, Debopadhaya, S, Degenhardt, L, Dehghan, A, Deitesfeld, L, Del Bo', C, Delgado-Enciso, I, Demessa, BH, Demetriades, AK, Deng, K, Deng, X, Denova-Gutiérrez, E, Deravi, N, Dereje, N, Dervenis, N, Dervišević, E, Des Jarlais, DC, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhimal, M, Dhingra, S, Dhulipala, VR, Dias da Silva, D, Diaz, D, Diaz, MJ, Dima, A, Ding, DD, Ding, H, Dinis-Oliveira, RJ, Dirac, MA, Djalalinia, S, Do, THP, do Prado, CB, Doaei, S, Dodangeh, M, Dohare, S, Dokova, KG, Dolecek, C, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, ER, dos Santos, WM, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Du, M, Dube, J, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dwyer-Lindgren, L, Dzianach, PA, Dziedzic, AM, E'mar, AR, Eboreime, E, Ebrahimi, A, Echieh, CP, Edinur, HA, Edvardsson, D, Edvardsson, K, Efendi, D, Efendi, F, Effendi, DE, Eikemo, TA, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Sayed, I, Elbarazi, I, Elema, TB, Elemam, NM, Elgar, FJ, Elgendy, IY, ElGohary, GMT, Elhabashy, HR, Elhadi, M, El-Huneidi, W, Elilo, LT, Elmeligy, OAA, Elmonem, MA, Elshaer, M, Elsohaby, I, Emeto, TI, Engelbert Bain, L, Erkhembayar, R, Esezobor, CI, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Esubalew, H, Etaee, F, Fabin, N, Fadaka, AO, Fagbamigbe, AF, Fahim, A, Fahimi, S, Fakhri-Demeshghieh, A, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasanmi, AO, Fatehizadeh, A, Fattahi, H, Fauk, NK, Fazeli, P, Feigin, VL, Feizkhah, A, Fekadu, G, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrante, D, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Flavel, J, Flood, D, Florin, BT, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, B, Foroutan, M, Forthun, I, Fortuna, D, Foschi, M, Fowobaje, KR, Francis, KL, Franklin, RC, Freitas, A, Friedman, J, Friedman, SD, Fukumoto, T, Fuller, JE, Fux, B, Gaal, PA, Gadanya, MA, Gaidhane, AM, Gaihre, S, Gakidou, E, Galali, Y, Galles, NC, Gallus, S, Ganbat, M, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia-Gordillo, MA, Gardner, WM, Garg, J, Garg, N, Gautam, RK, Gbadamosi, SO, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremeskel, TG, Georgescu, SR, Getachew, T, Gething, PW, Getie, M, Ghadiri, K, Ghahramani, S, Ghailan, KY, Ghasemi, M-R, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghashghaee, A, Ghassemi, F, Ghazy, RM, Ghimire, A, Ghoba, S, Gholamalizadeh, M, Gholamian, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Ghorbani Vajargah, P, Ghoshal, AG, Gill, PS, Gill, TK, Gillum, RF, Ginindza, TG, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Godinho, MA, Goel, A, Golchin, A, Goldust, M, Golechha, M, Goleij, P, Gomes, NGM, Gona, PN, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Goulart, BNG, Goyal, A, Grada, A, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Gudeta, MD, Guha, A, Guicciardi, S, Guimarães, RA, Gulati, S, Gunawardane, DA, Gunturu, S, Guo, C, Gupta, AK, Gupta, B, Gupta, MK, Gupta, M, Gupta, RD, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Gurmessa, L, Gutiérrez, RA, Habibzadeh, F, Habibzadeh, P, Haddadi, R, Hadei, M, Hadi, NR, Haep, N, Hafezi-Nejad, N, Hailu, A, Haj-Mirzaian, A, Halboub, ES, Hall, BJ, Haller, S, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hamilton, EB, Han, C, Han, Q, Hanif, A, Hanifi, N, Hankey, GJ, Hanna, F, Hannan, MA, Haque, MN, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MT, Hasani, H, Hasanian, M, Hashi, A, Hasnain, MS, Hassan, I, Hassanipour, S, Hassankhani, H, Haubold, J, Havmoeller, RJ, Hay, SI, He, J, Hebert, JJ, Hegazi, OE, Heidari, G, Heidari, M, Heidari-Foroozan, M, Helfer, B, Hendrie, D, Herrera-Serna, BY, Herteliu, C, Hesami, H, Hezam, K, Hill, CL, Hiraike, Y, Holla, R, Horita, N, Hossain, MM, Hossain, S, Hosseini, M-S, Hosseinzadeh, H, Hosseinzadeh, M, Hosseinzadeh Adli, A, Hostiuc, M, Hostiuc, S, Hsairi, M, Hsieh, VC-R, Hsu, RL, Hu, C, Huang, J, Hultström, M, Humayun, A, Hundie, TG, Hussain, J, Hussain, MA, Hussein, NR, Hussien, FM, Huynh, H-H, Hwang, B-F, Ibitoye, SE, Ibrahim, KS, Iftikhar, PM, Ijo, D, Ikiroma, AI, Ikuta, KS, Ikwegbue, PC, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inamdar, S, Indriasih, E, Iqhrammullah, M, Iradukunda, A, Iregbu, KC, Islam, MR, Islam, SMS, Islami, F, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iyamu, IO, Iyer, M, J, LM, Jaafari, J, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jafarinia, M, Jafarzadeh, A, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, N, Jairoun, AA, Jaiswal, A, Jamshidi, E, Janko, MM, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jebai, R, Jee, SH, Jeganathan, J, Jha, AK, Jha, RP, Jiang, H, Jin, Y, Johnson, O, Jokar, M, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Joshy, G, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kadir, DH, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamal, VK, Kamarajah, SK, Kamath, R, Kamiab, Z, Kamyari, N, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmanthareddy, AR, Kanmiki, EW, Kanmodi, KK, Kannan S, S, Kansal, SK, Kantar, RS, Kapoor, N, Karajizadeh, M, Karanth, SD, Karasneh, RA, Karaye, IM, Karch, A, Karim, A, Karimi, SE, Karimi Behnagh, A, Kashoo, FZ, Kasnazani, QHA, Kasraei, H, Kassebaum, NJ, Kassel, MB, Kauppila, JH, Kaur, N, Kawakami, N, Kayode, GA, Kazemi, F, Kazemian, S, Kazmi, TH, Kebebew, GM, Kebede, AD, Kebede, F, Keflie, TS, Keiyoro, PN, Keller, C, Kelly, JT, Kempen, JH, Kerr, JA, Kesse-Guyot, E, Khajuria, H, Khalaji, A, Khalid, N, Khalil, AA, Khalilian, A, Khamesipour, F, Khan, A, Khan, G, Khan, I, Khan, IA, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khan, ZA, Khan suheb, MZ, Khanmohammadi, S, Khatab, K, Khatami, F, Khatatbeh, H, Khatatbeh, MM, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khorgamphar, M, Khormali, M, Khorrami, Z, Khosravi, A, Khosravi, MA, Kifle, ZD, Kim, G, Kim, J, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kinzel, KE, Kisa, A, Kisa, S, Klu, D, Knudsen, AKS, Kocarnik, JM, Kochhar, S, Kocsis, T, Koh, DSQ, Kolahi, A-A, Kolves, K, Kompani, F, Koren, G, Kosen, S, Kostev, K, Koul, PA, Koulmane Laxminarayana, SL, Krishan, K, Krishna, H, Krishna, V, Krishnamoorthy, V, Krishnamoorthy, Y, Krohn, KJ, Kuate Defo, B, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, H, Kumar, M, Kumar, R, Kumari, M, Kumie, FT, Kundu, S, Kurmi, OP, Kusnali, A, Kusuma, D, Kwarteng, A, Kyriopoulos, I, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lagat, AK, Lager, ACJ, Lahmar, A, Lai, DTC, Lal, DK, Lalloo, R, Lallukka, T, Lam, H, Lám, J, Landrum, KR, Lanfranchi, F, Lang, JJ, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lassi, ZS, Latief, K, Latifinaibin, K, Lauriola, P, Le, NHH, Le, TTT, Le, TDT, Ledda, C, Ledesma, JR, Lee, M, Lee, PH, Lee, SW, Lee, SWH, Lee, W-C, Lee, YH, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Li, M-C, Li, W, Li, X, Li, Y, Li, Z, Ligade, VS, Likaka, ATM, Lim, L-L, Lim, SS, Lindstrom, M, Linehan, C, Liu, C, Liu, G, Liu, J, Liu, R, Liu, S, Liu, X, Llanaj, E, Loftus, MJ, López-Bueno, R, Lopukhov, PD, Loreche, AM, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Lugo, A, Lunevicius, R, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madadizadeh, F, Madsen, C, Madureira-Carvalho, ÁM, Maghazachi, AA, Maharaj, SB, Mahjoub, S, Mahmoud, MA, Mahmoudi, A, Mahmoudi, E, Mahmoudi, R, Majeed, A, Makhdoom, IF, Malakan Rad, E, Maled, V, Malekzadeh, R, Malhotra, AK, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Mamun, AA, Mansouri, P, Mansournia, MA, Mantovani, LG, Maqsood, S, Marasini, BP, Marateb, HR, Maravilla, JC, Marconi, AM, Mardi, P, Marino, M, Marjani, A, Martinez, G, Martinez-Guerra, BA, Martinez-Piedra, R, Martini, D, Martini, S, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Masaka, A, Masrie, A, Mathieson, S, Mathioudakis, AG, Mathur, MR, Mattumpuram, J, Matzopoulos, R, Maude, RJ, Maugeri, A, Maulik, PK, Mayeli, M, Mazaheri, M, Mazidi, M, McGrath, JJ, McKee, M, McKowen, ALW, McLaughlin, SA, McPhail, SM, Mechili, EA, Medina, JRC, Mediratta, RP, Meena, JK, Mehra, R, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Mekene Meto, T, Meles, GG, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mengist, B, Mentis, A-FA, Meo, SA, Meresa, HA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mesfin, BA, Mestrovic, T, Mettananda, KCD, Mettananda, S, Meylakhs, P, Mhlanga, A, Mhlanga, L, Mi, T, Miazgowski, T, Micha, G, Michalek, IM, Miller, TR, Mills, EJ, Minh, LHN, Mini, GK, Mir Mohammad Sadeghi, P, Mirica, A, Mirijello, A, Mirrakhimov, EM, Mirutse, MK, Mirzaei, M, Misganaw, A, Mishra, A, Misra, S, Mitchell, PB, Mithra, P, Mittal, C, Mobayen, M, Moberg, ME, Mohamadkhani, A, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad-Alizadeh-Charandabi, S, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammed, H, Mohammed, M, Mohammed, S, Mohan, V, Mojiri-Forushani, H, Mokari, A, Mokdad, AH, Molinaro, S, Molokhia, M, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moradzadeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosser, JF, Motappa, R, Mougin, V, Mouodi, S, Mousavi, P, Mousavi, SE, Mousavi Khaneghah, A, Mpolya, EA, Mrejen, M, Mubarik, S, Muccioli, L, Mueller, UO, Mughal, F, Mukherjee, S, Mulita, F, Munjal, K, Murillo-Zamora, E, Musaigwa, F, Musallam, KM, Mustafa, A, Mustafa, G, Muthupandian, S, Muthusamy, R, Muzaffar, M, Myung, W, Nagarajan, AJ, Nagel, G, Naghavi, P, Naheed, A, Naik, GR, Naik, G, Nainu, F, Nair, S, Najmuldeen, HHR, Nakhostin Ansari, N, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Narayana, AI, Nargus, S, Nascimento, BR, Nascimento, GG, Nasehi, S, Nashwan, AJ, Natto, ZS, Nauman, J, Naveed, M, Nayak, BP, Nayak, VC, Nazri-Panjaki, A, Ndejjo, R, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Negru, SM, Nejadghaderi, SA, Nejjari, C, Nena, E, Nepal, S, Ng, M, Nggada, HA, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Nguyen, DH, Nguyen, HTH, Nguyen, PT, Nguyen, VT, Niazi, RK, Nielsen, KR, Nigatu, YT, Nikolouzakis, TK, Nikoobar, A, Nikoomanesh, F, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Nnyanzi, LA, Noman, EA, Nomura, S, Noreen, M, Noroozi, N, Norrving, B, Noubiap, JJ, Novotney, A, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nuñez-Samudio, V, Nurrika, D, Nutor, JJ, Oancea, B, Obamiro, KO, Oboh, MA, Odetokun, IA, Odogwu, NM, O'Donnell, MJ, Oduro, MS, Ofakunrin, AOD, Ogunkoya, A, Oguntade, AS, Oh, I-H, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olaiya, MT, Olatubi, MI, Oliveira, GMM, Olufadewa, II, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omar Bali, A, Omer, GL, Ondayo, MA, Ong, S, Onwujekwe, OE, Onyedibe, KI, Ordak, M, Orisakwe, OE, Orish, VN, Ortega-Altamirano, DV, Ortiz, A, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Ouyang, G, Owolabi, MO, Ozten, Y, P A, MP, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Palladino, C, Palladino, R, Palma-Alvarez, RF, Pan, F, Pan, H-F, Pana, A, Panda, P, Panda-Jonas, S, Pandi-Perumal, SR, Pangaribuan, HU, Panos, GD, Panos, LD, Pantazopoulos, I, Pantea Stoian, AM, Papadopoulou, P, Parikh, RR, Park, S, Parthasarathi, A, Pashaei, A, Pasovic, M, Passera, R, Pasupula, DK, Patel, HM, Patel, J, Patel, SK, Patil, S, Patoulias, D, Patthipati, VS, Paudel, U, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Perdigão, J, Pereira, M, Peres, MFP, Perianayagam, A, Perico, N, Pestell, RG, Pesudovs, K, Petermann-Rocha, FE, Petri, WA, Pham, HT, Philip, AK, Phillips, MR, Pierannunzio, D, Pigeolet, M, Pigott, DM, Pilgrim, T, Piracha, ZZ, Piradov, MA, Pirouzpanah, S, Plakkal, N, Plotnikov, E, Podder, V, Poddighe, D, Polinder, S, Polkinghorne, KR, Poluru, R, Ponkilainen, VT, Porru, F, Postma, MJ, Poudel, GR, Pourshams, A, Pourtaheri, N, Prada, SI, Pradhan, PMS, Prakasham, TN, Prasad, M, Prashant, A, Prates, EJS, Prieto Alhambra, D, PRISCILLA, T, Pritchett, N, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Qiu, S, Qureshi, MF, Rabiee Rad, M, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raghav, PR, Raheem, N, Rahim, F, Rahim, MJ, Rahimi-Movaghar, V, Rahman, MM, Rahman, MHU, Rahman, M, Rahman, MA, Rahmani, AM, Rahmani, S, Rahmanian, V, Rajaa, S, Rajput, P, Rakovac, I, Ramasamy, SK, Ramazanu, S, Rana, K, Ranabhat, CL, Rancic, N, Rane, A, Rao, CR, Rao, IR, Rao, M, Rao, SJ, Rasali, DP, Rasella, D, Rashedi, S, Rashedi, V, Rashidi, M-M, Rasouli-Saravani, A, Rasul, A, Rathnaiah Babu, G, Rauniyar, SK, Ravangard, R, Ravikumar, N, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Rawlley, B, Raza, RZ, Razo, C, Redwan, EMM, Rehman, FU, Reifels, L, Reiner Jr, RC, Remuzzi, G, Reyes, LF, Rezaei, M, Rezaei, N, Rezaeian, M, Rhee, TG, Riaz, MA, Ribeiro, ALP, Rickard, J, Riva, HR, Robinson-Oden, HE, Rodrigues, CF, Rodrigues, M, Roever, L, Rogowski, ELB, Rohloff, P, Romadlon, DS, Romero-Rodríguez, E, Romoli, M, Ronfani, L, Roshandel, G, Roth, GA, Rout, HS, Roy, N, Roy, P, Rubagotti, E, Ruela, GDA, Rumisha, SF, Runghien, T, Rwegerera, GM, Rynkiewicz, A, S N, C, Saad, AMA, Saadatian, Z, Saber, K, Saber-Ayad, MM, SaberiKamarposhti, M, Sabour, S, Sacco, S, Sachdev, PS, Sachdeva, R, Saddik, B, Saddler, A, Sadee, BA, Sadeghi, E, Sadeghian, F, Saeb, MR, Saeed, U, Safaeinejad, F, Safi, SZ, Sagar, R, Saghazadeh, A, Sagoe, D, Saheb Sharif-Askari, F, Saheb Sharif-Askari, N, Sahebkar, A, Sahoo, SS, Sahoo, U, Sahu, M, Saif, Z, Sajid, MR, Sakshaug, JW, Salam, N, Salamati, P, Salami, AA, Salaroli, LB, Saleh, MA, Salehi, S, Salem, MR, Salem, MZY, Salimi, S, Samadi Kafil, H, Samadzadeh, S, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santomauro, DF, Santos, IS, Santric-Milicevic, MM, Sao Jose, BP, Sarasmita, MA, Saraswathy, SYI, Saravanan, A, Saravi, B, Sarikhani, Y, Sarkar, T, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sarveazad, A, Sathian, B, Sathish, T, Satpathy, M, Sayeed, A, Sayeed, MA, Saylan, M, Sayyah, M, Scarmeas, N, Schaarschmidt, BM, Schlaich, MP, Schlee, W, Schmidt, MI, Schneider, IJC, Schuermans, A, Schumacher, AE, Schutte, AE, Schwarzinger, M, Schwebel, DC, Schwendicke, F, Šekerija, M, Selvaraj, S, Senapati, S, Senthilkumaran, S, Sepanlou, SG, Serban, D, Sethi, Y, Sha, F, Shabany, M, Shafaat, A, Shafie, M, Shah, NS, Shah, PA, Shah, SM, Shahabi, S, Shahbandi, A, Shahid, I, Shahid, S, Shahid, W, Shahsavari, HR, Shahwan, MJ, Shaikh, A, Shaikh, MA, Shakeri, A, Shalash, AS, Sham, S, Shamim, MA, Shams-Beyranvand, M, Shamshad, H, Shamsi, MA, Shanawaz, M, Shankar, A, Sharfaei, S, Sharifan, A, Sharifi-Rad, J, Sharma, R, Sharma, S, Sharma, U, Sharma, V, Shastry, RP, Shavandi, A, Shayan, M, Shehabeldine, AME, Sheikh, A, Sheikhi, RA, Shen, J, Shetty, A, Shetty, BSK, Shetty, PH, Shi, P, Shibuya, K, Shiferaw, D, Shigematsu, M, Shin, M-J, Shin, YH, Shiri, R, Shirkoohi, R, Shitaye, NA, Shittu, A, Shiue, I, Shivakumar, KM, Shivarov, V, Shokraneh, F, Shokri, A, Shool, S, Shorofi, SA, Shrestha, S, Shuval, K, Siddig, EE, Silva, JP, Silva, LMLR, Silva, S, Simpson, CR, Singal, A, Singh, A, Singh, BB, Singh, G, Singh, J, Singh, NP, Singh, P, Singh, S, Sinha, DN, Sinto, R, Siraj, MS, Sirota, SB, Sitas, F, Sivakumar, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Socea, B, Sokhan, A, Solanki, R, Solanki, S, Soleimani, H, Soliman, SSM, Song, S, Song, Y, Sorensen, RJD, Soriano, JB, Soyiri, IN, Spartalis, M, Spearman, S, Sreeramareddy, CT, Srivastava, VK, Stanaway, JD, Stanikzai, MH, Stark, BA, Starnes, JR, Starodubova, AV, Stein, C, Stein, DJ, Steinbeis, F, Steiner, C, Steinmetz, JD, Steiropoulos, P, Stevanović, A, Stockfelt, L, Stokes, MA, Stortecky, S, Subramaniyan, V, Suleman, M, Suliankatchi Abdulkader, R, Sultana, A, Sun, HZ, Sun, J, Sundström, J, Sunkersing, D, Sunnerhagen, KS, Swain, CK, Szarpak, L, Szeto, MD, Szócska, M, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei, SM, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabish, M, TADAKAMADLA, J, Tadakamadla, SK, Taheri Abkenar, Y, Taheri Soodejani, M, Taiba, J, Takahashi, K, Talaat, IM, Talukder, A, Tampa, M, Tamuzi, JL, Tan, K-K, Tandukar, S, Tang, H, Tang, HK, Tarigan, IU, Tariku, MK, Tariqujjaman, M, Tarkang, EE, Tavakoli Oliaee, R, Tavangar, SM, Taveira, N, Tefera, YM, Temsah, M-H, Temsah, RMH, Teramoto, M, Tesler, R, Teye-Kwadjo, E, Thakur, R, Thangaraju, P, Thankappan, KR, Tharwat, S, Thayakaran, R, Thomas, N, Thomas, NK, Thomson, AM, Thrift, AG, Thum, CCC, Thygesen, LC, Tian, J, Tichopad, A, Ticoalu, JHV, Tillawi, T, Tiruye, TY, Titova, MV, Tonelli, M, Topor-Madry, R, Toriola, AT, Torre, AE, Touvier, M, Tovani-Palone, MR, Tran, JT, Tran, NM, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsegay, GM, Tsermpini, EE, Tumurkhuu, M, Tung, K, Tyrovolas, S, Uddin, SMN, Udoakang, AJ, Udoh, A, Ullah, A, Ullah, I, Ullah, S, Umakanthan, S, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Unsworth, CA, Upadhyay, E, Urso, D, Usman, JS, Vahabi, SM, Vaithinathan, AG, Valizadeh, R, Van de Velde, SM, Van den Eynde, J, Varga, O, Vart, P, Varthya, SB, Vasankari, TJ, Vasic, M, Vaziri, S, Vellingiri, B, Venketasubramanian, N, Verghese, NA, Verma, M, Veroux, M, Verras, G-I, Vervoort, D, Villafañe, JH, Villanueva, GI, Vinayak, M, Violante, FS, Viskadourou, M, Vladimirov, SK, Vlassov, V, Vo, B, Vollset, SE, Vongpradith, A, Vos, T, Vujcic, IS, Vukovic, R, Wafa, HA, Waheed, Y, Wamai, RG, Wang, C, Wang, N, Wang, S, Wang, Y, Wang, Y-P, Waqas, M, Ward, P, Wassie, EG, Watson, S, Watson, SLW, Weerakoon, KG, Wei, MY, Weintraub, RG, Weiss, DJ, Westerman, R, Whisnant, JL, Wiangkham, T, Wickramasinghe, DP, Wickramasinghe, ND, Wilandika, A, Wilkerson, C, Willeit, P, Wilson, S, Wojewodzic, MW, Woldegebreal, DH, Wolf, AW, Wolfe, CDA, Wondimagegene, YA, Wong, YJ, Wongsin, U, Wu, A-M, Wu, C, Wu, F, Wu, X, Wu, Z, Xia, J, Xiao, H, Xie, Y, Xu, S, Xu, W-D, Xu, X, Xu, YY, Yadollahpour, A, Yamagishi, K, Yang, D, Yang, L, Yano, Y, Yao, Y, Yaribeygi, H, Ye, P, Yehualashet, SS, Yesiltepe, M, Yesuf, SA, Yezli, S, Yi, S, Yigezu, A, Yiğit, A, Yiğit, V, Yip, P, Yismaw, MB, Yismaw, Y, Yon, DK, Yonemoto, N, Yoon, S-J, You, Y, Younis, MZ, Yousefi, Z, Yu, C, Yu, Y, Yuh, FH, Zadey, S, Zadnik, V, Zafari, N, Zakham, F, Zaki, N, Zaman, SB, Zamora, N, Zand, R, Zangiabadian, M, Zar, HJ, Zare, I, Zarrintan, A, Zeariya, MGM, Zeinali, Z, Zhang, H, Zhang, J, Zhang, L, Zhang, Y, Zhang, Z-J, Zhao, H, Zhong, C, Zhou, J, Zhu, B, Zhu, L, Ziafati, M, Zielińska, M, Zitoun, OA, Zoladl, M, Zou, Z, Zuhlke, LJ, Zumla, A, Zweck, E, Zyoud, SH, Wool, EE, Murray, CJL, Naghavi, M, Ong, KL, Aali, A, Ababneh, HS, Abate, YH, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M-A, Abdoun, M, Abdulah, DM, Abdullahi, A, Abebe, M, Abebe, SS, Abedi, A, Abegaz, KH, Abhilash, ES, Abidi, H, Abiodun, O, Aboagye, RG, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, GB, Abreu, LG, Abrha, WA, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, NME, Aburuz, S, Abu-Zaid, A, Accrombessi, MMK, Adal, TG, Adamu, AA, Addo, IY, Addolorato, G, Adebiyi, AO, Adekanmbi, V, Adepoju, AV, Adetunji, CO, Adetunji, JB, Adeyeoluwa, TE, Adeyinka, DA, Adeyomoye, OI, Admass, BAA, Adnani, QES, Adra, S, Afolabi, AA, Afzal, MS, Afzal, S, Agampodi, SB, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, FD, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, BO, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, MM, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, AM, Ahmed, A, Ahmed, H, Ahmed, LA, Ahmed, MS, Ahmed, MB, Ahmed, SA, Ajami, M, Aji, B, Akara, EM, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, MA, Akyirem, S, Al Hamad, H, Al Hasan, SM, Alahdab, F, Alalalmeh, SO, Alalwan, TA, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, RM, Alanezi, FM, Alanzi, TM, Al-Azzam, S, Albakri, A, Albashtawy, M, AlBataineh, MT, Alcalde-Rabanal, JE, Aldawsari, KA, Aldhaleei, WA, Aldridge, RW, Alema, HB, Alemayohu, MA, Alemi, S, Alemu, YM, Al-Gheethi, AAS, Alhabib, KF, Alhalaiqa, FAN, Al-Hanawi, MK, Ali, A, Ali, L, Ali, MU, Ali, R, Ali, S, Ali, SSS, Alicandro, G, Alif, SM, Alikhani, R, Alimohamadi, Y, Aliyi, AA, Aljasir, MAM, Aljunid, SM, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, SAA, Almazan, JU, Al-Mekhlafi, HM, Almidani, L, Almidani, O, Alomari, MA, Al-Omari, B, Alonso, J, Alqahtani, JS, Alqalyoobi, S, Alqutaibi, AY, Al-Sabah, SK, Altaany, Z, Altaf, A, Al-Tawfiq, JA, Altirkawi, KA, Aluh, DO, Alvis-Guzman, N, Alwafi, H, Al-Worafi, YM, Aly, H, Aly, S, Alzoubi, KH, Amani, R, Amare, AT, Amegbor, PM, Ameyaw, EK, Amin, TT, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, MH, Amu, H, Amugsi, DA, Amusa, GA, Ancuceanu, R, Anderlini, D, Anderson, DB, Andrade, PP, Andrei, CL, Andrei, T, Angus, C, Anil, A, Anil, S, Anoushiravani, A, Ansari, H, Ansariadi, A, Ansari-Moghaddam, A, Antony, CM, Antriyandarti, E, Anvari, D, Anvari, S, Anwar, S, Anwar, SL, Anwer, R, Anyasodor, AE, Aqeel, M, Arab, JP, Arabloo, J, Arafat, M, Aravkin, AY, Areda, D, Aremu, A, Aremu, O, Ariffin, H, Arkew, M, Armocida, B, Arndt, MB, Ärnlöv, J, Arooj, M, Artamonov, AA, Arulappan, J, Aruleba, RT, Arumugam, A, Asaad, M, Asadi-Lari, M, Asgedom, AA, Asghariahmadabad, M, Asghari-Jafarabadi, M, Ashraf, M, Aslani, A, Astell-Burt, T, Athar, M, Athari, SS, Atinafu, BTT, Atlaw, HW, Atorkey, P, Atout, MMW, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awedew, AF, Aweke, AM, Ayala Quintanilla, BP, Ayatollahi, H, Ayuso-Mateos, JL, Ayyoubzadeh, SM, Azadnajafabad, S, Azevedo, RMS, Azzam, AY, B, DB, Babu, AS, Badar, M, Badiye, AD, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bahmanziari, N, Bai, R, Baig, AA, Baker, JL, Bako, AT, Bakshi, RK, Balakrishnan, S, Balasubramanian, M, Baltatu, OC, Bam, K, Banach, M, Bandyopadhyay, S, Banik, PC, Bansal, H, Bansal, K, Barbic, F, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, SL, Bärnighausen, TW, Barone-Adesi, F, Barqawi, HJ, Barrero, LH, Barrow, A, Barteit, S, Barua, L, Basharat, Z, Bashiri, A, Basiru, A, Baskaran, P, Basnyat, B, Bassat, Q, Basso, JD, Basting, AVL, Basu, S, Batra, K, Baune, BT, Bayati, M, Bayileyegn, NS, Beaney, T, Bedi, N, Beghi, M, Behboudi, E, Behera, P, Behnoush, AH, Behzadifar, M, Beiranvand, M, Bejarano Ramirez, DF, Béjot, Y, Belay, SA, Belete, CM, Bell, ML, Bello, MB, Bello, OO, Belo, L, Beloukas, A, Bender, RG, Bensenor, IM, Beran, A, Berezvai, Z, Berhie, AY, Berice, BN, Bernstein, RS, Bertolacci, GJ, Bettencourt, PJG, Beyene, KA, Bhagat, DS, Bhagavathula, AS, Bhala, N, Bhalla, A, Bhandari, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhardwaj, PV, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, GK, Bhatti, JS, Bhatti, MS, Bhatti, R, Bhutta, ZA, Bikbov, B, Bishai, JD, Bisignano, C, Bisulli, F, Biswas, A, Biswas, B, Bitaraf, S, Bitew, BD, Bitra, VR, Bjørge, T, Boachie, MK, Boampong, MS, Bobirca, AV, Bodolica, V, Bodunrin, AO, Bogale, EK, Bogale, KA, Bohlouli, S, Bolarinwa, OA, Boloor, A, Bonakdar Hashemi, M, Bonny, A, Bora, K, Bora Basara, B, Borhany, H, Borzutzky, A, Bouaoud, S, Boustany, A, Boxe, C, Boyko, EJ, Brady, OJ, Braithwaite, D, Brant, LC, Brauer, M, Brazinova, A, Brazo-Sayavera, J, Breitborde, NJK, Breitner, S, Brenner, H, Briko, AN, Briko, NI, Britton, G, Brown, J, Brugha, T, Bulamu, NB, Bulto, LN, Buonsenso, D, Burns, RA, Busse, R, Bustanji, Y, Butt, NS, Butt, ZA, Caetano dos Santos, FL, Calina, D, Cámera, LA, Campos, LA, Campos-Nonato, IR, Cao, C, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, JJ, Carugno, A, Carvalheiro, CG, Carvalho, F, Carvalho, M, Castaldelli-Maia, JM, Castañeda-Orjuela, CA, Castelpietra, G, Catalá-López, F, Catapano, AL, Cattaruzza, MS, Cederroth, CR, Cegolon, L, Cembranel, F, Cenderadewi, M, Cercy, KM, Cerin, E, Cevik, M, Chadwick, J, Chahine, Y, Chakraborty, C, Chakraborty, PA, Chan, JSK, Chan, RNC, Chandika, RM, Chandrasekar, EK, Chang, C-K, Chang, J-C, Chanie, GS, Charalampous, P, Chattu, VK, Chaturvedi, P, Chatzimavridou-Grigoriadou, V, Chaurasia, A, Chen, AW, Chen, A-T, Chen, CS, Chen, H, Chen, MX, Chen, S, Cheng, C-Y, Cheng, ETW, Cherbuin, N, Cheru, WA, Chien, J-H, Chimed-Ochir, O, Chimoriya, R, Ching, PR, Chirinos-Caceres, JL, Chitheer, A, Cho, WCS, Chong, B, Chopra, H, Choudhari, SG, Chowdhury, R, Christopher, DJ, Chukwu, IS, Chung, E, Chung, S-C, Chutiyami, M, Cindi, Z, Cioffi, I, Claassens, MM, Claro, RM, Coberly, K, Cogen, RM, Columbus, A, Comfort, H, Conde, J, Cortese, S, Cortesi, PA, Costa, VM, Costanzo, S, Cousin, E, Couto, RAS, Cowden, RG, Cramer, KM, Criqui, MH, Cruz-Martins, N, Cuadra-Hernández, SM, Culbreth, GT, Cullen, P, Cunningham, M, Curado, MP, Dadana, S, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalli, LL, Damiani, G, Darega Gela, J, Das, JK, Das, S, Dascalu, AM, Dash, NR, Dashti, M, Dastiridou, A, Davey, G, Dávila-Cervantes, CA, Davis Weaver, N, Davletov, K, De Leo, D, de Luca, K, Debele, AT, Debopadhaya, S, Degenhardt, L, Dehghan, A, Deitesfeld, L, Del Bo', C, Delgado-Enciso, I, Demessa, BH, Demetriades, AK, Deng, K, Deng, X, Denova-Gutiérrez, E, Deravi, N, Dereje, N, Dervenis, N, Dervišević, E, Des Jarlais, DC, Desai, HD, Desai, R, Devanbu, VGC, Dewan, SMR, Dhali, A, Dhama, K, Dhimal, M, Dhingra, S, Dhulipala, VR, Dias da Silva, D, Diaz, D, Diaz, MJ, Dima, A, Ding, DD, Ding, H, Dinis-Oliveira, RJ, Dirac, MA, Djalalinia, S, Do, THP, do Prado, CB, Doaei, S, Dodangeh, M, Dohare, S, Dokova, KG, Dolecek, C, Dominguez, R-MV, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, ER, dos Santos, WM, Doshi, R, Doshmangir, L, Dowou, RK, Driscoll, TR, Dsouza, HL, Dsouza, V, Du, M, Dube, J, Duncan, BB, Duraes, AR, Duraisamy, S, Durojaiye, OC, Dwyer-Lindgren, L, Dzianach, PA, Dziedzic, AM, E'mar, AR, Eboreime, E, Ebrahimi, A, Echieh, CP, Edinur, HA, Edvardsson, D, Edvardsson, K, Efendi, D, Efendi, F, Effendi, DE, Eikemo, TA, Eini, E, Ekholuenetale, M, Ekundayo, TC, El Sayed, I, Elbarazi, I, Elema, TB, Elemam, NM, Elgar, FJ, Elgendy, IY, ElGohary, GMT, Elhabashy, HR, Elhadi, M, El-Huneidi, W, Elilo, LT, Elmeligy, OAA, Elmonem, MA, Elshaer, M, Elsohaby, I, Emeto, TI, Engelbert Bain, L, Erkhembayar, R, Esezobor, CI, Eshrati, B, Eskandarieh, S, Espinosa-Montero, J, Esubalew, H, Etaee, F, Fabin, N, Fadaka, AO, Fagbamigbe, AF, Fahim, A, Fahimi, S, Fakhri-Demeshghieh, A, Falzone, L, Fareed, M, Farinha, CSES, Faris, MEM, Faris, PS, Faro, A, Fasanmi, AO, Fatehizadeh, A, Fattahi, H, Fauk, NK, Fazeli, P, Feigin, VL, Feizkhah, A, Fekadu, G, Feng, X, Fereshtehnejad, S-M, Feroze, AH, Ferrante, D, Ferrari, AJ, Ferreira, N, Fetensa, G, Feyisa, BR, Filip, I, Fischer, F, Flavel, J, Flood, D, Florin, BT, Foigt, NA, Folayan, MO, Fomenkov, AA, Foroutan, B, Foroutan, M, Forthun, I, Fortuna, D, Foschi, M, Fowobaje, KR, Francis, KL, Franklin, RC, Freitas, A, Friedman, J, Friedman, SD, Fukumoto, T, Fuller, JE, Fux, B, Gaal, PA, Gadanya, MA, Gaidhane, AM, Gaihre, S, Gakidou, E, Galali, Y, Galles, NC, Gallus, S, Ganbat, M, Gandhi, AP, Ganesan, B, Ganiyani, MA, Garcia-Gordillo, MA, Gardner, WM, Garg, J, Garg, N, Gautam, RK, Gbadamosi, SO, Gebi, TG, Gebregergis, MW, Gebrehiwot, M, Gebremeskel, TG, Georgescu, SR, Getachew, T, Gething, PW, Getie, M, Ghadiri, K, Ghahramani, S, Ghailan, KY, Ghasemi, M-R, Ghasempour Dabaghi, G, Ghasemzadeh, A, Ghashghaee, A, Ghassemi, F, Ghazy, RM, Ghimire, A, Ghoba, S, Gholamalizadeh, M, Gholamian, A, Gholamrezanezhad, A, Gholizadeh, N, Ghorbani, M, Ghorbani Vajargah, P, Ghoshal, AG, Gill, PS, Gill, TK, Gillum, RF, Ginindza, TG, Girmay, A, Glasbey, JC, Gnedovskaya, EV, Göbölös, L, Godinho, MA, Goel, A, Golchin, A, Goldust, M, Golechha, M, Goleij, P, Gomes, NGM, Gona, PN, Gopalani, SV, Gorini, G, Goudarzi, H, Goulart, AC, Goulart, BNG, Goyal, A, Grada, A, Graham, SM, Grivna, M, Grosso, G, Guan, S-Y, Guarducci, G, Gubari, MIM, Gudeta, MD, Guha, A, Guicciardi, S, Guimarães, RA, Gulati, S, Gunawardane, DA, Gunturu, S, Guo, C, Gupta, AK, Gupta, B, Gupta, MK, Gupta, M, Gupta, RD, Gupta, R, Gupta, S, Gupta, VB, Gupta, VK, Gurmessa, L, Gutiérrez, RA, Habibzadeh, F, Habibzadeh, P, Haddadi, R, Hadei, M, Hadi, NR, Haep, N, Hafezi-Nejad, N, Hailu, A, Haj-Mirzaian, A, Halboub, ES, Hall, BJ, Haller, S, Halwani, R, Hamadeh, RR, Hameed, S, Hamidi, S, Hamilton, EB, Han, C, Han, Q, Hanif, A, Hanifi, N, Hankey, GJ, Hanna, F, Hannan, MA, Haque, MN, Harapan, H, Hargono, A, Haro, JM, Hasaballah, AI, Hasan, I, Hasan, MT, Hasani, H, Hasanian, M, Hashi, A, Hasnain, MS, Hassan, I, Hassanipour, S, Hassankhani, H, Haubold, J, Havmoeller, RJ, Hay, SI, He, J, Hebert, JJ, Hegazi, OE, Heidari, G, Heidari, M, Heidari-Foroozan, M, Helfer, B, Hendrie, D, Herrera-Serna, BY, Herteliu, C, Hesami, H, Hezam, K, Hill, CL, Hiraike, Y, Holla, R, Horita, N, Hossain, MM, Hossain, S, Hosseini, M-S, Hosseinzadeh, H, Hosseinzadeh, M, Hosseinzadeh Adli, A, Hostiuc, M, Hostiuc, S, Hsairi, M, Hsieh, VC-R, Hsu, RL, Hu, C, Huang, J, Hultström, M, Humayun, A, Hundie, TG, Hussain, J, Hussain, MA, Hussein, NR, Hussien, FM, Huynh, H-H, Hwang, B-F, Ibitoye, SE, Ibrahim, KS, Iftikhar, PM, Ijo, D, Ikiroma, AI, Ikuta, KS, Ikwegbue, PC, Ilesanmi, OS, Ilic, IM, Ilic, MD, Imam, MT, Immurana, M, Inamdar, S, Indriasih, E, Iqhrammullah, M, Iradukunda, A, Iregbu, KC, Islam, MR, Islam, SMS, Islami, F, Ismail, F, Ismail, NE, Iso, H, Isola, G, Iwagami, M, Iwu, CCD, Iyamu, IO, Iyer, M, J, LM, Jaafari, J, Jacob, L, Jacobsen, KH, Jadidi-Niaragh, F, Jafarinia, M, Jafarzadeh, A, Jaggi, K, Jahankhani, K, Jahanmehr, N, Jahrami, H, Jain, N, Jairoun, AA, Jaiswal, A, Jamshidi, E, Janko, MM, Jatau, AI, Javadov, S, Javaheri, T, Jayapal, SK, Jayaram, S, Jebai, R, Jee, SH, Jeganathan, J, Jha, AK, Jha, RP, Jiang, H, Jin, Y, Johnson, O, Jokar, M, Jonas, JB, Joo, T, Joseph, A, Joseph, N, Joshua, CE, Joshy, G, Jozwiak, JJ, Jürisson, M, K, V, Kaambwa, B, Kabir, A, Kabir, Z, Kadashetti, V, Kadir, DH, Kalani, R, Kalankesh, LR, Kaliyadan, F, Kalra, S, Kamal, VK, Kamarajah, SK, Kamath, R, Kamiab, Z, Kamyari, N, Kanagasabai, T, Kanchan, T, Kandel, H, Kanmanthareddy, AR, Kanmiki, EW, Kanmodi, KK, Kannan S, S, Kansal, SK, Kantar, RS, Kapoor, N, Karajizadeh, M, Karanth, SD, Karasneh, RA, Karaye, IM, Karch, A, Karim, A, Karimi, SE, Karimi Behnagh, A, Kashoo, FZ, Kasnazani, QHA, Kasraei, H, Kassebaum, NJ, Kassel, MB, Kauppila, JH, Kaur, N, Kawakami, N, Kayode, GA, Kazemi, F, Kazemian, S, Kazmi, TH, Kebebew, GM, Kebede, AD, Kebede, F, Keflie, TS, Keiyoro, PN, Keller, C, Kelly, JT, Kempen, JH, Kerr, JA, Kesse-Guyot, E, Khajuria, H, Khalaji, A, Khalid, N, Khalil, AA, Khalilian, A, Khamesipour, F, Khan, A, Khan, G, Khan, I, Khan, IA, Khan, MN, Khan, M, Khan, MJ, Khan, MAB, Khan, ZA, Khan suheb, MZ, Khanmohammadi, S, Khatab, K, Khatami, F, Khatatbeh, H, Khatatbeh, MM, Khavandegar, A, Khayat Kashani, HR, Khidri, FF, Khodadoust, E, Khorgamphar, M, Khormali, M, Khorrami, Z, Khosravi, A, Khosravi, MA, Kifle, ZD, Kim, G, Kim, J, Kim, K, Kim, MS, Kim, YJ, Kimokoti, RW, Kinzel, KE, Kisa, A, Kisa, S, Klu, D, Knudsen, AKS, Kocarnik, JM, Kochhar, S, Kocsis, T, Koh, DSQ, Kolahi, A-A, Kolves, K, Kompani, F, Koren, G, Kosen, S, Kostev, K, Koul, PA, Koulmane Laxminarayana, SL, Krishan, K, Krishna, H, Krishna, V, Krishnamoorthy, V, Krishnamoorthy, Y, Krohn, KJ, Kuate Defo, B, Kucuk Bicer, B, Kuddus, MA, Kuddus, M, Kuitunen, I, Kulimbet, M, Kulkarni, V, Kumar, A, Kumar, H, Kumar, M, Kumar, R, Kumari, M, Kumie, FT, Kundu, S, Kurmi, OP, Kusnali, A, Kusuma, D, Kwarteng, A, Kyriopoulos, I, Kyu, HH, La Vecchia, C, Lacey, B, Ladan, MA, Laflamme, L, Lagat, AK, Lager, ACJ, Lahmar, A, Lai, DTC, Lal, DK, Lalloo, R, Lallukka, T, Lam, H, Lám, J, Landrum, KR, Lanfranchi, F, Lang, JJ, Langguth, B, Lansingh, VC, Laplante-Lévesque, A, Larijani, B, Larsson, AO, Lasrado, S, Lassi, ZS, Latief, K, Latifinaibin, K, Lauriola, P, Le, NHH, Le, TTT, Le, TDT, Ledda, C, Ledesma, JR, Lee, M, Lee, PH, Lee, SW, Lee, SWH, Lee, W-C, Lee, YH, LeGrand, KE, Leigh, J, Leong, E, Lerango, TL, Li, M-C, Li, W, Li, X, Li, Y, Li, Z, Ligade, VS, Likaka, ATM, Lim, L-L, Lim, SS, Lindstrom, M, Linehan, C, Liu, C, Liu, G, Liu, J, Liu, R, Liu, S, Liu, X, Llanaj, E, Loftus, MJ, López-Bueno, R, Lopukhov, PD, Loreche, AM, Lorkowski, S, Lotufo, PA, Lozano, R, Lubinda, J, Lucchetti, G, Lugo, A, Lunevicius, R, Ma, ZF, Maass, KL, Machairas, N, Machoy, M, Madadizadeh, F, Madsen, C, Madureira-Carvalho, ÁM, Maghazachi, AA, Maharaj, SB, Mahjoub, S, Mahmoud, MA, Mahmoudi, A, Mahmoudi, E, Mahmoudi, R, Majeed, A, Makhdoom, IF, Malakan Rad, E, Maled, V, Malekzadeh, R, Malhotra, AK, Malhotra, K, Malik, AA, Malik, I, Malta, DC, Mamun, AA, Mansouri, P, Mansournia, MA, Mantovani, LG, Maqsood, S, Marasini, BP, Marateb, HR, Maravilla, JC, Marconi, AM, Mardi, P, Marino, M, Marjani, A, Martinez, G, Martinez-Guerra, BA, Martinez-Piedra, R, Martini, D, Martini, S, Martins-Melo, FR, Martorell, M, Marx, W, Maryam, S, Marzo, RR, Masaka, A, Masrie, A, Mathieson, S, Mathioudakis, AG, Mathur, MR, Mattumpuram, J, Matzopoulos, R, Maude, RJ, Maugeri, A, Maulik, PK, Mayeli, M, Mazaheri, M, Mazidi, M, McGrath, JJ, McKee, M, McKowen, ALW, McLaughlin, SA, McPhail, SM, Mechili, EA, Medina, JRC, Mediratta, RP, Meena, JK, Mehra, R, Mehrabani-Zeinabad, K, Mehrabi Nasab, E, Mekene Meto, T, Meles, GG, Mendez-Lopez, MAM, Mendoza, W, Menezes, RG, Mengist, B, Mentis, A-FA, Meo, SA, Meresa, HA, Meretoja, A, Meretoja, TJ, Mersha, AM, Mesfin, BA, Mestrovic, T, Mettananda, KCD, Mettananda, S, Meylakhs, P, Mhlanga, A, Mhlanga, L, Mi, T, Miazgowski, T, Micha, G, Michalek, IM, Miller, TR, Mills, EJ, Minh, LHN, Mini, GK, Mir Mohammad Sadeghi, P, Mirica, A, Mirijello, A, Mirrakhimov, EM, Mirutse, MK, Mirzaei, M, Misganaw, A, Mishra, A, Misra, S, Mitchell, PB, Mithra, P, Mittal, C, Mobayen, M, Moberg, ME, Mohamadkhani, A, Mohamed, J, Mohamed, MFH, Mohamed, NS, Mohammad-Alizadeh-Charandabi, S, Mohammadi, S, Mohammadian-Hafshejani, A, Mohammadifard, N, Mohammed, H, Mohammed, M, Mohammed, S, Mohan, V, Mojiri-Forushani, H, Mokari, A, Mokdad, AH, Molinaro, S, Molokhia, M, Momtazmanesh, S, Monasta, L, Mondello, S, Moni, MA, Moodi Ghalibaf, A, Moradi, M, Moradi, Y, Moradi-Lakeh, M, Moradzadeh, M, Moraga, P, Morawska, L, Moreira, RS, Morovatdar, N, Morrison, SD, Morze, J, Mosser, JF, Motappa, R, Mougin, V, Mouodi, S, Mousavi, P, Mousavi, SE, Mousavi Khaneghah, A, Mpolya, EA, Mrejen, M, Mubarik, S, Muccioli, L, Mueller, UO, Mughal, F, Mukherjee, S, Mulita, F, Munjal, K, Murillo-Zamora, E, Musaigwa, F, Musallam, KM, Mustafa, A, Mustafa, G, Muthupandian, S, Muthusamy, R, Muzaffar, M, Myung, W, Nagarajan, AJ, Nagel, G, Naghavi, P, Naheed, A, Naik, GR, Naik, G, Nainu, F, Nair, S, Najmuldeen, HHR, Nakhostin Ansari, N, Nangia, V, Naqvi, AA, Narasimha Swamy, S, Narayana, AI, Nargus, S, Nascimento, BR, Nascimento, GG, Nasehi, S, Nashwan, AJ, Natto, ZS, Nauman, J, Naveed, M, Nayak, BP, Nayak, VC, Nazri-Panjaki, A, Ndejjo, R, Nduaguba, SO, Negash, H, Negoi, I, Negoi, RI, Negru, SM, Nejadghaderi, SA, Nejjari, C, Nena, E, Nepal, S, Ng, M, Nggada, HA, Nguefack-Tsague, G, Ngunjiri, JW, Nguyen, AH, Nguyen, DH, Nguyen, HTH, Nguyen, PT, Nguyen, VT, Niazi, RK, Nielsen, KR, Nigatu, YT, Nikolouzakis, TK, Nikoobar, A, Nikoomanesh, F, Nikpoor, AR, Ningrum, DNA, Nnaji, CA, Nnyanzi, LA, Noman, EA, Nomura, S, Noreen, M, Noroozi, N, Norrving, B, Noubiap, JJ, Novotney, A, Nri-Ezedi, CA, Ntaios, G, Ntsekhe, M, Nuñez-Samudio, V, Nurrika, D, Nutor, JJ, Oancea, B, Obamiro, KO, Oboh, MA, Odetokun, IA, Odogwu, NM, O'Donnell, MJ, Oduro, MS, Ofakunrin, AOD, Ogunkoya, A, Oguntade, AS, Oh, I-H, Okati-Aliabad, H, Okeke, SR, Okekunle, AP, Okonji, OC, Olagunju, AT, Olaiya, MT, Olatubi, MI, Oliveira, GMM, Olufadewa, II, Olusanya, BO, Olusanya, JO, Oluwafemi, YD, Omar, HA, Omar Bali, A, Omer, GL, Ondayo, MA, Ong, S, Onwujekwe, OE, Onyedibe, KI, Ordak, M, Orisakwe, OE, Orish, VN, Ortega-Altamirano, DV, Ortiz, A, Osman, WMS, Ostroff, SM, Osuagwu, UL, Otoiu, A, Otstavnov, N, Otstavnov, SS, Ouyahia, A, Ouyang, G, Owolabi, MO, Ozten, Y, P A, MP, Padron-Monedero, A, Padubidri, JR, Pal, PK, Palicz, T, Palladino, C, Palladino, R, Palma-Alvarez, RF, Pan, F, Pan, H-F, Pana, A, Panda, P, Panda-Jonas, S, Pandi-Perumal, SR, Pangaribuan, HU, Panos, GD, Panos, LD, Pantazopoulos, I, Pantea Stoian, AM, Papadopoulou, P, Parikh, RR, Park, S, Parthasarathi, A, Pashaei, A, Pasovic, M, Passera, R, Pasupula, DK, Patel, HM, Patel, J, Patel, SK, Patil, S, Patoulias, D, Patthipati, VS, Paudel, U, Pazoki Toroudi, H, Pease, SA, Peden, AE, Pedersini, P, Pensato, U, Pepito, VCF, Peprah, EK, Peprah, P, Perdigão, J, Pereira, M, Peres, MFP, Perianayagam, A, Perico, N, Pestell, RG, Pesudovs, K, Petermann-Rocha, FE, Petri, WA, Pham, HT, Philip, AK, Phillips, MR, Pierannunzio, D, Pigeolet, M, Pigott, DM, Pilgrim, T, Piracha, ZZ, Piradov, MA, Pirouzpanah, S, Plakkal, N, Plotnikov, E, Podder, V, Poddighe, D, Polinder, S, Polkinghorne, KR, Poluru, R, Ponkilainen, VT, Porru, F, Postma, MJ, Poudel, GR, Pourshams, A, Pourtaheri, N, Prada, SI, Pradhan, PMS, Prakasham, TN, Prasad, M, Prashant, A, Prates, EJS, Prieto Alhambra, D, PRISCILLA, T, Pritchett, N, Purohit, BM, Puvvula, J, Qasim, NH, Qattea, I, Qazi, AS, Qian, G, Qiu, S, Qureshi, MF, Rabiee Rad, M, Radfar, A, Radhakrishnan, RA, Radhakrishnan, V, Raeisi Shahraki, H, Rafferty, Q, Raggi, A, Raghav, PR, Raheem, N, Rahim, F, Rahim, MJ, Rahimi-Movaghar, V, Rahman, MM, Rahman, MHU, Rahman, M, Rahman, MA, Rahmani, AM, Rahmani, S, Rahmanian, V, Rajaa, S, Rajput, P, Rakovac, I, Ramasamy, SK, Ramazanu, S, Rana, K, Ranabhat, CL, Rancic, N, Rane, A, Rao, CR, Rao, IR, Rao, M, Rao, SJ, Rasali, DP, Rasella, D, Rashedi, S, Rashedi, V, Rashidi, M-M, Rasouli-Saravani, A, Rasul, A, Rathnaiah Babu, G, Rauniyar, SK, Ravangard, R, Ravikumar, N, Rawaf, DL, Rawaf, S, Rawal, L, Rawassizadeh, R, Rawlley, B, Raza, RZ, Razo, C, Redwan, EMM, Rehman, FU, Reifels, L, Reiner Jr, RC, Remuzzi, G, Reyes, LF, Rezaei, M, Rezaei, N, Rezaeian, M, Rhee, TG, Riaz, MA, Ribeiro, ALP, Rickard, J, Riva, HR, Robinson-Oden, HE, Rodrigues, CF, Rodrigues, M, Roever, L, Rogowski, ELB, Rohloff, P, Romadlon, DS, Romero-Rodríguez, E, Romoli, M, Ronfani, L, Roshandel, G, Roth, GA, Rout, HS, Roy, N, Roy, P, Rubagotti, E, Ruela, GDA, Rumisha, SF, Runghien, T, Rwegerera, GM, Rynkiewicz, A, S N, C, Saad, AMA, Saadatian, Z, Saber, K, Saber-Ayad, MM, SaberiKamarposhti, M, Sabour, S, Sacco, S, Sachdev, PS, Sachdeva, R, Saddik, B, Saddler, A, Sadee, BA, Sadeghi, E, Sadeghian, F, Saeb, MR, Saeed, U, Safaeinejad, F, Safi, SZ, Sagar, R, Saghazadeh, A, Sagoe, D, Saheb Sharif-Askari, F, Saheb Sharif-Askari, N, Sahebkar, A, Sahoo, SS, Sahoo, U, Sahu, M, Saif, Z, Sajid, MR, Sakshaug, JW, Salam, N, Salamati, P, Salami, AA, Salaroli, LB, Saleh, MA, Salehi, S, Salem, MR, Salem, MZY, Salimi, S, Samadi Kafil, H, Samadzadeh, S, Samargandy, S, Samodra, YL, Samy, AM, Sanabria, J, Sanna, F, Santomauro, DF, Santos, IS, Santric-Milicevic, MM, Sao Jose, BP, Sarasmita, MA, Saraswathy, SYI, Saravanan, A, Saravi, B, Sarikhani, Y, Sarkar, T, Sarmiento-Suárez, R, Sarode, GS, Sarode, SC, Sarveazad, A, Sathian, B, Sathish, T, Satpathy, M, Sayeed, A, Sayeed, MA, Saylan, M, Sayyah, M, Scarmeas, N, Schaarschmidt, BM, Schlaich, MP, Schlee, W, Schmidt, MI, Schneider, IJC, Schuermans, A, Schumacher, AE, Schutte, AE, Schwarzinger, M, Schwebel, DC, Schwendicke, F, Šekerija, M, Selvaraj, S, Senapati, S, Senthilkumaran, S, Sepanlou, SG, Serban, D, Sethi, Y, Sha, F, Shabany, M, Shafaat, A, Shafie, M, Shah, NS, Shah, PA, Shah, SM, Shahabi, S, Shahbandi, A, Shahid, I, Shahid, S, Shahid, W, Shahsavari, HR, Shahwan, MJ, Shaikh, A, Shaikh, MA, Shakeri, A, Shalash, AS, Sham, S, Shamim, MA, Shams-Beyranvand, M, Shamshad, H, Shamsi, MA, Shanawaz, M, Shankar, A, Sharfaei, S, Sharifan, A, Sharifi-Rad, J, Sharma, R, Sharma, S, Sharma, U, Sharma, V, Shastry, RP, Shavandi, A, Shayan, M, Shehabeldine, AME, Sheikh, A, Sheikhi, RA, Shen, J, Shetty, A, Shetty, BSK, Shetty, PH, Shi, P, Shibuya, K, Shiferaw, D, Shigematsu, M, Shin, M-J, Shin, YH, Shiri, R, Shirkoohi, R, Shitaye, NA, Shittu, A, Shiue, I, Shivakumar, KM, Shivarov, V, Shokraneh, F, Shokri, A, Shool, S, Shorofi, SA, Shrestha, S, Shuval, K, Siddig, EE, Silva, JP, Silva, LMLR, Silva, S, Simpson, CR, Singal, A, Singh, A, Singh, BB, Singh, G, Singh, J, Singh, NP, Singh, P, Singh, S, Sinha, DN, Sinto, R, Siraj, MS, Sirota, SB, Sitas, F, Sivakumar, S, Skryabin, VY, Skryabina, AA, Sleet, DA, Socea, B, Sokhan, A, Solanki, R, Solanki, S, Soleimani, H, Soliman, SSM, Song, S, Song, Y, Sorensen, RJD, Soriano, JB, Soyiri, IN, Spartalis, M, Spearman, S, Sreeramareddy, CT, Srivastava, VK, Stanaway, JD, Stanikzai, MH, Stark, BA, Starnes, JR, Starodubova, AV, Stein, C, Stein, DJ, Steinbeis, F, Steiner, C, Steinmetz, JD, Steiropoulos, P, Stevanović, A, Stockfelt, L, Stokes, MA, Stortecky, S, Subramaniyan, V, Suleman, M, Suliankatchi Abdulkader, R, Sultana, A, Sun, HZ, Sun, J, Sundström, J, Sunkersing, D, Sunnerhagen, KS, Swain, CK, Szarpak, L, Szeto, MD, Szócska, M, Tabaee Damavandi, P, Tabarés-Seisdedos, R, Tabatabaei, SM, Tabatabaei Malazy, O, Tabatabaeizadeh, S-A, Tabatabai, S, Tabish, M, TADAKAMADLA, J, Tadakamadla, SK, Taheri Abkenar, Y, Taheri Soodejani, M, Taiba, J, Takahashi, K, Talaat, IM, Talukder, A, Tampa, M, Tamuzi, JL, Tan, K-K, Tandukar, S, Tang, H, Tang, HK, Tarigan, IU, Tariku, MK, Tariqujjaman, M, Tarkang, EE, Tavakoli Oliaee, R, Tavangar, SM, Taveira, N, Tefera, YM, Temsah, M-H, Temsah, RMH, Teramoto, M, Tesler, R, Teye-Kwadjo, E, Thakur, R, Thangaraju, P, Thankappan, KR, Tharwat, S, Thayakaran, R, Thomas, N, Thomas, NK, Thomson, AM, Thrift, AG, Thum, CCC, Thygesen, LC, Tian, J, Tichopad, A, Ticoalu, JHV, Tillawi, T, Tiruye, TY, Titova, MV, Tonelli, M, Topor-Madry, R, Toriola, AT, Torre, AE, Touvier, M, Tovani-Palone, MR, Tran, JT, Tran, NM, Trico, D, Tromans, SJ, Truyen, TTTT, Tsatsakis, A, Tsegay, GM, Tsermpini, EE, Tumurkhuu, M, Tung, K, Tyrovolas, S, Uddin, SMN, Udoakang, AJ, Udoh, A, Ullah, A, Ullah, I, Ullah, S, Umakanthan, S, Umeokonkwo, CD, Unim, B, Unnikrishnan, B, Unsworth, CA, Upadhyay, E, Urso, D, Usman, JS, Vahabi, SM, Vaithinathan, AG, Valizadeh, R, Van de Velde, SM, Van den Eynde, J, Varga, O, Vart, P, Varthya, SB, Vasankari, TJ, Vasic, M, Vaziri, S, Vellingiri, B, Venketasubramanian, N, Verghese, NA, Verma, M, Veroux, M, Verras, G-I, Vervoort, D, Villafañe, JH, Villanueva, GI, Vinayak, M, Violante, FS, Viskadourou, M, Vladimirov, SK, Vlassov, V, Vo, B, Vollset, SE, Vongpradith, A, Vos, T, Vujcic, IS, Vukovic, R, Wafa, HA, Waheed, Y, Wamai, RG, Wang, C, Wang, N, Wang, S, Wang, Y, Wang, Y-P, Waqas, M, Ward, P, Wassie, EG, Watson, S, Watson, SLW, Weerakoon, KG, Wei, MY, Weintraub, RG, Weiss, DJ, Westerman, R, Whisnant, JL, Wiangkham, T, Wickramasinghe, DP, Wickramasinghe, ND, Wilandika, A, Wilkerson, C, Willeit, P, Wilson, S, Wojewodzic, MW, Woldegebreal, DH, Wolf, AW, Wolfe, CDA, Wondimagegene, YA, Wong, YJ, Wongsin, U, Wu, A-M, Wu, C, Wu, F, Wu, X, Wu, Z, Xia, J, Xiao, H, Xie, Y, Xu, S, Xu, W-D, Xu, X, Xu, YY, Yadollahpour, A, Yamagishi, K, Yang, D, Yang, L, Yano, Y, Yao, Y, Yaribeygi, H, Ye, P, Yehualashet, SS, Yesiltepe, M, Yesuf, SA, Yezli, S, Yi, S, Yigezu, A, Yiğit, A, Yiğit, V, Yip, P, Yismaw, MB, Yismaw, Y, Yon, DK, Yonemoto, N, Yoon, S-J, You, Y, Younis, MZ, Yousefi, Z, Yu, C, Yu, Y, Yuh, FH, Zadey, S, Zadnik, V, Zafari, N, Zakham, F, Zaki, N, Zaman, SB, Zamora, N, Zand, R, Zangiabadian, M, Zar, HJ, Zare, I, Zarrintan, A, Zeariya, MGM, Zeinali, Z, Zhang, H, Zhang, J, Zhang, L, Zhang, Y, Zhang, Z-J, Zhao, H, Zhong, C, Zhou, J, Zhu, B, Zhu, L, Ziafati, M, Zielińska, M, Zitoun, OA, Zoladl, M, Zou, Z, Zuhlke, LJ, Zumla, A, Zweck, E, Zyoud, SH, Wool, EE, and Murray, CJL
Published: 2024

4. A qualitative study of patient perspectives related to glucocorticoid therapy in polymyalgia rheumatica and giant cell arteritis

Author: Hoon E, Ruediger C, Gill TK, Black RJ, and Hill CL
Subjects: patient experience, polymyalgia rheumatica, giant cell arteritis, adverse effects, Glucocorticoid therapy, Diseases of the musculoskeletal system, RC925-935
Abstract: Elizabeth Hoon,1 Carlee Ruediger,2,3 Tiffany K Gill,2 Rachel J Black,2,4 Catherine L Hill2–41School of Public Health, University of Adelaide, Adelaide, SA 5000, Australia; 2Adelaide Medical School, University of Adelaide, Adelaide, SA 5000, Australia; 3Rheumatology Unit, The Queen Elizabeth Hospital, Woodville, SA 5011, Australia; 4Rheumatology Unit, The Royal Adelaide Hospital, Adelaide, SA 5000, AustraliaCorrespondence: Catherine L HillAdelaide Medical School, University of Adelaide, Level 7, SAHMRI, North Tc, Adelaide, SA 5000, AustraliaEmail Catherine.Hill@sa.gov.auObjective: To determine patient experiences of glucocorticoid (GC) therapy in polymyalgia rheumatica (PMR) and giant cell arteritis (GCA).Methods: Patients with a diagnosis of PMR or GCA were invited to participate in this qualitative study that used focus groups to explore: symptoms onset, process of diagnosis, treatment, adverse effects (AEs), and ongoing condition/s management. Data were transcribed verbatim and a “framework” approach was used for analysis and interpretation.Results: Fourteen patients participated. Weight gain, changes in face and neck shape, and bruising were commonly reported and impacts of these AEs on quality of life were highlighted. Dealing with uncertainties associated with long-term experiences of the condition/s and cycles of GC treatment were raised as were workload demands for patients in managing both the condition and other people’s expectations and recommendations related to GC therapy.Conclusion: These findings demonstrate that the patient experience of GC use is poorly captured by usual physician monitoring for GC AEs. These findings suggest that development of a patient-reported outcome instrument for inflammatory conditions treated with GCs is required.Keywords: patient experience, polymyalgia rheumatica, giant cell arteritis, adverse effects, glucocorticoid therapy
Published: 2019

5. Association between popliteal artery wall thickness and structural progression in patients with symptomatic knee osteoarthritis

Author: Wang, Y, Pontoh, EW, Hussain, SM, Lim, YZ, Jones, G, Hill, CL, Wluka, AE, Tonkin, A, Ding, C, Cicuttini, FM, Wang, Y, Pontoh, EW, Hussain, SM, Lim, YZ, Jones, G, Hill, CL, Wluka, AE, Tonkin, A, Ding, C, and Cicuttini, FM
Abstract: OBJECTIVE: There is increasing evidence for the involvement of vascular disease in the pathogenesis of knee OA. Popliteal artery wall thickness can be used as a surrogate marker of atherosclerosis. We examined the association between popliteal artery wall thickness and knee cartilage volume in individuals with symptomatic knee OA. METHODS: This prospective cohort study analysed 176 participants from a randomized placebo-controlled trial examining the effect of atorvastatin on structural progression in knee OA. The participants underwent MRI of the study knee at baseline and 2-year follow-up. Popliteal artery wall thickness and tibial cartilage volume were measured from MRI using validated methods. The top quartile of the rate of tibial cartilage volume loss was defined as rapid progression. RESULTS: At baseline, every 10% increase in popliteal artery wall thickness was associated with 120.8 mm3 (95% CI 5.4, 236.2, P = 0.04) lower of medial tibial cartilage volume and 151.9 mm3 (95% CI 12.1, 291.7, P = 0.03) lower of lateral tibial cartilage volume. Longitudinally, for every 10% increase in popliteal artery wall thickness, the annual rate of medial tibial cartilage volume loss was increased by 1.14% (95% CI 0.09%, 2.20%, P = 0.03), and there was a 2.28-fold (95% CI 1.07, 4.83, P = 0.03) risk of rapid progression of medial tibial cartilage loss, adjusted for age, sex, BMI, tibial bone area, smoking, vigorous physical activity, and intervention group allocation. CONCLUSION: The findings support a role for vascular pathology in the progression of knee OA. Targeting atherosclerosis has the potential to improve outcomes in knee OA.
Published: 2023

6. Global, regional, and national burden of rheumatoid arthritis, 1990-2020, and projections to 2050:a systematic analysis of the Global Burden of Disease Study 2021

Author: Black, RJ, Cross, M, Haile, LM, Culbreth, G, Steinmetz, J, Hagins, H, Kopec, JA, Brooks, PM, Woolf, A, Ong, KL, Kopansky-Giles, DR, Dreinhoefer, KE, Betteridge, N, Aali, A, Abbasifard, M, Abbasi-Kangevari, M, Abdurehman, AM, Abedi, A, Abidi, H, Aboagye, RG, Abolhassani, H, Abu-Gharbieh, E, Abu-Zaid, A, Adamu, K, Addo, IY, Afzal, MS, Ahmed, A, Charalampous, P, Gupta, S, Gupta, VK, Hill, CL, Hussain, S, Khan, MJ, Kim, YJ, Kisa, A, Lim, SS, Malik, AA, Nguyen, CT, Rahman, MHU, Singh, A, Singh, JA, Singh, S, Tan, KK, Wu, AM, Yonemoto, N, You, YY, Zhang, ZI, Vos, T, Black, RJ, Cross, M, Haile, LM, Culbreth, G, Steinmetz, J, Hagins, H, Kopec, JA, Brooks, PM, Woolf, A, Ong, KL, Kopansky-Giles, DR, Dreinhoefer, KE, Betteridge, N, Aali, A, Abbasifard, M, Abbasi-Kangevari, M, Abdurehman, AM, Abedi, A, Abidi, H, Aboagye, RG, Abolhassani, H, Abu-Gharbieh, E, Abu-Zaid, A, Adamu, K, Addo, IY, Afzal, MS, Ahmed, A, Charalampous, P, Gupta, S, Gupta, VK, Hill, CL, Hussain, S, Khan, MJ, Kim, YJ, Kisa, A, Lim, SS, Malik, AA, Nguyen, CT, Rahman, MHU, Singh, A, Singh, JA, Singh, S, Tan, KK, Wu, AM, Yonemoto, N, You, YY, Zhang, ZI, and Vos, T
Abstract: Background: Rheumatoid arthritis is a chronic autoimmune inflammatory disease associated with disability and premature death. Up-to-date estimates of the burden of rheumatoid arthritis are required for health-care planning, resource allocation, and prevention. As part of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021, we provide updated estimates of the prevalence of rheumatoid arthritis and its associated deaths and disability-adjusted life-years (DALYs) by age, sex, year, and location, with forecasted prevalence to 2050. Methods: Rheumatoid arthritis prevalence was estimated in 204 countries and territories from 1990 to 2020 using Bayesian meta-regression models and data from population-based studies and medical claims data (98 prevalence and 25 incidence studies). Mortality was estimated from vital registration data with the Cause of Death Ensemble model (CODEm). Years of life lost (YLL) were calculated with use of standard GBD lifetables, and years lived with disability (YLDs) were estimated from prevalence, a meta-analysed distribution of rheumatoid arthritis severity, and disability weights. DALYs were calculated by summing YLLs and YLDs. Smoking was the only risk factor analysed. Rheumatoid arthritis prevalence was forecast to 2050 by logistic regression with Socio-Demographic Index as a predictor, then multiplying by projected population estimates. Findings: In 2020, an estimated 17·6 million (95% uncertainty interval 15·8–20·3) people had rheumatoid arthritis worldwide. The age-standardised global prevalence rate was 208·8 cases (186·8–241·1) per 100 000 population, representing a 14·1% (12·7–15·4) increase since 1990. Prevalence was higher in females (age-standardised female-to-male prevalence ratio 2·45 [2·40–2·47]). The age-standardised death rate was 0·47 (0·41–0·54) per 100 000 population (38 300 global deaths [33 500–44 000]), a 23·8% (17·5–29·3) decrease from 1990 to 2020. The 2020 DALY count was 3 060 000 (2 320 000–3
Published: 2023

7. Accelerating water oxidation - a mixed Co/Fe polyoxometalate with improved turnover characteristics

Author: Universitat Rovira i Virgili, Soriano-López, J; Steuber, FW; Mulahmetovic, M; Besora, M; Clemente-Juan, JM; O'Doherty, M; Zhu, NY; Hill, CL; Coronado, E; Poblet, JM; Schmitt, W, Universitat Rovira i Virgili, and Soriano-López, J; Steuber, FW; Mulahmetovic, M; Besora, M; Clemente-Juan, JM; O'Doherty, M; Zhu, NY; Hill, CL; Coronado, E; Poblet, JM; Schmitt, W
Abstract: Water oxidation is a bottleneck reaction for the establishment of solar-to-fuel energy conversion systems. Earth-abundant metal-based polyoxometalates are promising heterogeneous water oxidation catalysts that can operate in a wide pH range. However, detailed structure-reactivity relationships are not yet comprehensively understood, hampering the design and synthesis of more effective polyoxometalate-based oxidation catalysts. Here we report the synthesis of an ordered, mixed-metal cobalt-iron Weakley archetype [CoII2(H2O)2FeIII2(CoIIW9O34)2]14− (Co2Fe2-WS), which unexpectedly highlights the strong influence of the central, coordinatively saturated metal ions on the catalytic water oxidation characteristics. The resulting species exhibits catalytic turnover frequencies which are up to 4× higher than those of the corresponding archetype tetracobalt-oxo species [CoII2(H2O)2CoII2(PW9O34)2]10− (Co4-WS). It is further striking that the system becomes catalytically inactive when one of the central positions is occupied by a WVI ion as demonstrated by [CoII2(H2O)2CoIIWVI(CoIIW9O34)2]12− (Co3W-WS). Importantly, this study demonstrates that coordinatively saturated metal ions in this central position, which at first glance appear insignificant, do not solely have a structural role but also impart a distinctive structural influence on the reactivity of the polyoxometalate. These results provide unique insights into the structure-reactivity relationships of polyoxometalates with improved catalytic performance characteristics.
Published: 2023

8. Effect of atorvastatin on skeletal muscles of patients with knee osteoarthritis: Post-hoc analysis of a randomised controlled trial.

Author: Lim, YZ, Cicuttini, FM, Wluka, AE, Jones, G, Hill, CL, Forbes, AB, Tonkin, A, Berezovskaya, S, Tan, L, Ding, C, Wang, Y, Lim, YZ, Cicuttini, FM, Wluka, AE, Jones, G, Hill, CL, Forbes, AB, Tonkin, A, Berezovskaya, S, Tan, L, Ding, C, and Wang, Y
Abstract: OBJECTIVE: Populations with knee osteoarthritis (KOA) are at increased risk of cardiovascular disease, due to higher prevalence of risk factors including dyslipidaemia, where statins are commonly prescribed. However, the effect of statins on muscles and symptoms in this population is unknown. Thus, this study examined the effect of atorvastatin on muscle properties in patients with symptomatic KOA. DESIGN: Post-hoc analysis of a 2-year multicentre randomised, double-blind, placebo-controlled trial. SETTING: Australian community. PARTICIPANTS: Participants aged 40-70 years (mean age 55.7 years, 55.6% female) with KOA who met the American College of Rheumatology clinical criteria received atorvastatin 40 mg daily (n = 151) or placebo (n = 153). MAIN OUTCOME MEASURES: Levels of creatinine kinase (CK), aspartate transaminase (AST), and alanine transaminase (ALT) at 1, 6, 12, and 24 months; muscle strength (by dynamometry) at 12 and 24 months; vastus medialis cross-sectional area (CSA) on magnetic resonance imaging at 24 months; and self-reported myalgia. RESULTS: There were no significant between-group differences in CK and AST at all timespoints. The atorvastatin group had higher ALT than placebo group at 1 (median 26 vs. 21, p = 0.004) and 6 (25 vs. 22, p = 0.007) months without significant between-group differences at 12 and 24 months. Muscle strength increased in both groups at 24 months without between-group differences [mean 8.2 (95% CI 3.5, 12.9) vs. 5.9 (1.3, 10.4), p = 0.49]. Change in vastus medialis CSA at 24 months favoured the atorvastatin group [0.11 (-0.10, 0.31) vs. -0.23 (-0.43, -0.03), p = 0.02] but of uncertain clinical significance. There was a trend for more myalgia in the atorvastatin group (8/151 vs. 2/153, p = 0.06) over 2 years, mostly occurring within 6 months (7/151 vs. 1/153, p = 0.04). CONCLUSIONS: In those with symptomatic KOA, despite a trend for more myalgia, there was no clear evidence of an adverse effect of atorvastatin on muscles, inc
Published: 2022

9. Attitudes and practices in the laboratory monitoring of conventional synthetic disease modifying anti-rheumatic drugs by rheumatologists and rheumatology trainees

Author: Tsakas, JJ, Liew, DFL, Adams, CL, Hill, CL, Proudman, S, Whittle, S, Buchbinder, R, Robinson, PC, Tsakas, JJ, Liew, DFL, Adams, CL, Hill, CL, Proudman, S, Whittle, S, Buchbinder, R, and Robinson, PC
Abstract: OBJECTIVES: There is scant research about laboratory monitoring in people taking conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) for rheumatic disease. Our objective was to conduct a scoping study to assess the range of current attitudes and the variation in practice of laboratory monitoring of csDMARDs by rheumatologists and trainees. METHODS: Australian and overseas rheumatologists or trainees were invited through newsletter, Twitter and personal e-mail, to complete an anonymous online survey between 1 February and 22 March 2021. Questions focused on laboratory tests requested by csDMARD prescribed, frequency/pattern of monitoring, influence of additional factors and combination therapy, actions in response to abnormal tests, and attitudes to monitoring frequencies. Results were presented descriptively and analysed using linear and logistic regression. RESULTS: There were 221 valid responses. Most respondents were from Australia (n = 53, 35%) followed by the US (n = 39, 26%), with a slight preponderance of women (n = 84, 56%), ≥ 11 years in rheumatology practice (n = 83, 56%) and in mostly public practice (n = 79, 53%). Respondents had a wide variation in the frequency and scheduling of tests. In general, respondents reported increasing monitoring frequency if patients had numerous comorbidities or if both methotrexate and leflunomide were being taken concurrently. There was a wide variety of responses to abnormal monitoring results and 27 (40%) considered that in general, monitoring tests are performed too frequently. CONCLUSIONS: The results demonstrated a wide variation in the frequency of testing, factors that should influence this, and what responses to abnormal test results are appropriate, indicates a likely lack of evidence and the need to define the risks, benefits and costs of different csDMARD monitoring regimens.
Published: 2022

10. Immediate effect of the COVID-19 pandemic on patient health, health-care use, and behaviours: results from an international survey of people with rheumatic diseases

Author: Hausmann, JS, Kennedy, K, Simard, JF, Liew, JW, Sparks, JA, Moni, T, Harrison, C, Larche, MJ, Levine, M, Sattui, SE, Semalulu, T, Foster, G, Surangiwala, S, Thabane, L, Beesley, RP, Durrant, KL, Mateus, EF, Mingolla, S, Nudel, M, Palmerlee, CA, Richards, DP, Liew, DFL, Hill, CL, Bhana, S, Costello, W, Grainger, R, Machado, PM, Robinson, PC, Sufka, P, Wallace, ZS, Yazdany, J, Sirotich, E, Hausmann, JS, Kennedy, K, Simard, JF, Liew, JW, Sparks, JA, Moni, T, Harrison, C, Larche, MJ, Levine, M, Sattui, SE, Semalulu, T, Foster, G, Surangiwala, S, Thabane, L, Beesley, RP, Durrant, KL, Mateus, EF, Mingolla, S, Nudel, M, Palmerlee, CA, Richards, DP, Liew, DFL, Hill, CL, Bhana, S, Costello, W, Grainger, R, Machado, PM, Robinson, PC, Sufka, P, Wallace, ZS, Yazdany, J, and Sirotich, E
Abstract: BACKGROUND: The impact and consequences of the COVID-19 pandemic on people with rheumatic disease are unclear. We developed the COVID-19 Global Rheumatology Alliance Patient Experience Survey to assess the effects of the COVID-19 pandemic on people with rheumatic disease worldwide. METHODS: Survey questions were developed by key stakeholder groups and disseminated worldwide through social media, websites, and patient support organisations. Questions included demographics, rheumatic disease diagnosis, COVID-19 diagnosis, adoption of protective behaviours to mitigate COVID-19 exposure, medication access and changes, health-care access and communication with rheumatologists, and changes in employment or schooling. Adults age 18 years and older with inflammatory or autoimmune rheumatic diseases were eligible for inclusion. We included participants with and without a COVID-19 diagnosis. We excluded participants reporting only non-inflammatory rheumatic diseases such as fibromyalgia or osteoarthritis. FINDINGS: 12 117 responses to the survey were received between April 3 and May 8, 2020, and of these, 10 407 respondents had included appropriate age data. We included complete responses from 9300 adults with rheumatic disease (mean age 46·1 years; 8375 [90·1%] women, 893 [9·6%] men, and 32 [0·3%] participants who identified as non-binary). 6273 (67·5%) of respondents identified as White, 1565 (16·8%) as Latin American, 198 (2·1%) as Black, 190 (2·0%) as Asian, and 42 (0·5%) as Native American or Aboriginal or First Nation. The most common rheumatic disease diagnoses included rheumatoid arthritis (3636 [39·1%] of 9300), systemic lupus erythematosus (2882 [31·0%]), and Sjögren's syndrome (1290 [13·9%]). Most respondents (6921 [82·0%] of 8441) continued their antirheumatic medications as prescribed. Almost all (9266 [99·7%] of 9297) respondents adopted protective behaviours to limit SARS-CoV-2 exposure. A change in employment status occurred in 2524 (27·1%) of 9300) of respond
Published: 2021

11. Early experience of COVID-19 vaccination in adults with systemic rheumatic diseases: results from the COVID-19 Global Rheumatology Alliance Vaccine Survey

Author: Sattui, SE, Liew, JW, Kennedy, K, Sirotich, E, Putman, M, Moni, TT, Akpabio, A, Alpizar-Rodriguez, D, Berenbaum, F, Bulina, I, Conway, R, Singh, AD, Duff, E, Durrant, KL, Gheita, TA, Hill, CL, Howard, RA, Hoyer, BF, Hsieh, E, El Kibbi, L, Kilian, A, Kim, AH, Liew, DFL, Lo, C, Miller, B, Mingolla, S, Nudel, M, Palmerlee, CA, Singh, JA, Singh, N, Ugarte-Gil, MF, Wallace, J, Young, KJ, Bhana, S, Costello, W, Grainger, R, Machado, PM, Robinson, PC, Sufka, P, Wallace, ZS, Yazdany, J, Harrison, C, Larche, M, Levine, M, Foster, G, Thabane, L, Rider, LG, Hausmann, JS, Simard, JF, Sparks, JA, Sattui, SE, Liew, JW, Kennedy, K, Sirotich, E, Putman, M, Moni, TT, Akpabio, A, Alpizar-Rodriguez, D, Berenbaum, F, Bulina, I, Conway, R, Singh, AD, Duff, E, Durrant, KL, Gheita, TA, Hill, CL, Howard, RA, Hoyer, BF, Hsieh, E, El Kibbi, L, Kilian, A, Kim, AH, Liew, DFL, Lo, C, Miller, B, Mingolla, S, Nudel, M, Palmerlee, CA, Singh, JA, Singh, N, Ugarte-Gil, MF, Wallace, J, Young, KJ, Bhana, S, Costello, W, Grainger, R, Machado, PM, Robinson, PC, Sufka, P, Wallace, ZS, Yazdany, J, Harrison, C, Larche, M, Levine, M, Foster, G, Thabane, L, Rider, LG, Hausmann, JS, Simard, JF, and Sparks, JA
Abstract: BACKGROUND: We describe the early experiences of adults with systemic rheumatic disease who received the COVID-19 vaccine. METHODS: From 2 April to 30 April 2021, we conducted an online, international survey of adults with systemic rheumatic disease who received COVID-19 vaccination. We collected patient-reported data on clinician communication, beliefs and intent about discontinuing disease-modifying antirheumatic drugs (DMARDs) around the time of vaccination, and patient-reported adverse events after vaccination. RESULTS: We analysed 2860 adults with systemic rheumatic diseases who received COVID-19 vaccination (mean age 55.3 years, 86.7% female, 86.3% white). Types of COVID-19 vaccines were Pfizer-BioNTech (53.2%), Oxford/AstraZeneca (22.6%), Moderna (21.3%), Janssen/Johnson & Johnson (1.7%) and others (1.2%). The most common rheumatic disease was rheumatoid arthritis (42.3%), and 81.2% of respondents were on a DMARD. The majority (81.9%) reported communicating with clinicians about vaccination. Most (66.9%) were willing to temporarily discontinue DMARDs to improve vaccine efficacy, although many (44.3%) were concerned about rheumatic disease flares. After vaccination, the most reported patient-reported adverse events were fatigue/somnolence (33.4%), headache (27.7%), muscle/joint pains (22.8%) and fever/chills (19.9%). Rheumatic disease flares that required medication changes occurred in 4.6%. CONCLUSION: Among adults with systemic rheumatic disease who received COVID-19 vaccination, patient-reported adverse events were typical of those reported in the general population. Most patients were willing to temporarily discontinue DMARDs to improve vaccine efficacy. The relatively low frequency of rheumatic disease flare requiring medications was reassuring.
Published: 2021

12. Feasibility and Face Validity of Outcome Measures for Use in Future Studies of Polymyalgia Rheumatica: An OMERACT Study

Author: Yates, M, Owen, CE, Muller, SN, Graham, K, Neill, L, Twohig, H, Boers, M, Pujades-Rodriguez, M, Goodman, S, Cheah, J, Dejaco, C, Mukhtyar, C, Nielsen, BD, Robson, J, Simon, LS, Shea, B, Mackie, SL, Hill, CL, OMERACT PMR Working Group, PMR, Epidemiology and Data Science, and APH - Methodology
Subjects: medicine.medical_specialty, Visual analogue scale, Immunology, Context (language use), Blood Sedimentation, POLYMYALGIA RHEUMATICA, Q1, Polymyalgia rheumatica, Rheumatology, GIANT-CELL ARTERITIS, Outcome Assessment, Health Care, medicine, Immunology and Allergy, Humans, Face validity, medicine.diagnostic_test, business.industry, Reproducibility of Results, OUTCOME MEASURES, medicine.disease, R1, PREVALENCE, Clinical trial, DESCRIPTIVE QUALITATIVE STUDY, TRIALS, FILTER, Health assessment, Polymyalgia Rheumatica, Erythrocyte sedimentation rate, Physical therapy, H1, Feasibility Studies, Thematic analysis, business
Abstract: Objective.To survey participants with polymyalgia rheumatica (PMR) to evaluate the face validity, acceptability, and domain match of proposed candidate outcome measures.Methods.A structured, online, anonymous survey was disseminated by patient support groups through their networks and online forums. The candidate outcome measures comprised (1) visual analog scale (VAS) and numerical rating score (NRS) to assess pain; (2) VAS, NRS, and duration to assess stiffness; (3) the modified Health Assessment Questionnaire and Health Assessment Questionnaire Disability Index to assess physical function; and (4) C-reactive protein and erythrocyte sedimentation rate to assess inflammation. Free-text answers were analyzed using descriptive thematic analysis to determine respondents’ views of the candidate instruments.Results.Seventy-eight people with PMR from 6 countries (UK, France, USA, Canada, Australia, and New Zealand) participated in the survey. Most respondents agreed candidate instruments were acceptable or “good to go.” Free-text analysis identified 5 themes that participants considered inadequately covered by the proposed instruments. These related to (1) the variability, context, and location of pain; (2) the variability of stiffness; (3) fatigue; (4) disability; and (5) the correlation of inflammatory marker levels and severity of symptoms, sometimes reflecting disease activity and other times not.Conclusion.Participants reported additional aspects of their experience that are not covered by the proposed instruments, particularly for the experience of stiffness and effect of fatigue. New patient-reported outcome measures are required to increase the relevance of results from clinical trials to patients with PMR.
Published: 2020

13. A pain science education and walking program to increase physical activity in people with symptomatic knee osteoarthritis: a feasibility study

Author: Stanton, TR, Karran, EL, Butler, DS, Hull, MJ, Schwetlik, SN, Braithwaite, FA, Jones, HG, Moseley, GL, Hill, CL, Tomkins-Lane, C, Maher, C, Bennell, K, Stanton, TR, Karran, EL, Butler, DS, Hull, MJ, Schwetlik, SN, Braithwaite, FA, Jones, HG, Moseley, GL, Hill, CL, Tomkins-Lane, C, Maher, C, and Bennell, K
Abstract: INTRODUCTION: Nine of 10 people with knee osteoarthritis are inactive. Unhelpful pain beliefs may negatively influence physical activity levels. Targeting these unhelpful pain beliefs, through contemporary pain science education (PSE), may provide benefit. OBJECTIVES: To evaluate the feasibility of conducting a clinical trial to determine the effect of adding PSE (vs adding sham ultrasound) to an individualised, physiotherapist-led education and walking program in people with painful knee osteoarthritis. METHODS: Twenty participants were randomised (1:1) into the PSE group or Control group, each receiving 4 in-person weekly treatments, then 4 weeks of at-home activities (weekly telephone check-in). Clinical outcomes and physical activity (7 days of wrist-worn accelerometry) were assessed at baseline, 4 (clinical outcomes only), 8, and 26 weeks. A priori feasibility criteria for recruitment, intervention adherence, viability of wrist-based accelerometry, and follow-up retention were set. Perceived intervention credibility, acceptability, and usefulness from participants and clinicians were assessed (ratings, written/verbal feedback). RESULTS: Most feasibility criteria were met. On average, 7 adults/wk were eligible, with 70% recruited. Treatment compliance was high (in-person: 80% PSE; 100% Control; at-home: 78% PSE; 75% Control). Wrist-based accelerometry had >75% valid wear-time. Sufficient follow-up rates were not achieved (26 weeks: 65%). Participant and clinician feedback highlighted that PSE was too complex and did not match patient expectations of "physiotherapy", that sham ultrasound was problematic (clinician), but that both treatments had high credibility, acceptability, and usefulness. CONCLUSIONS: Progression to a full trial is warranted. Strategies to increase participant retention, refine the PSE content/delivery, and replace/remove the sham intervention are required.
Published: 2020

14. Untreated hypertension: prevalence and patient factors and beliefs associated with under-treatment in a population sample

Author: Appleton, SL, Neo, C, Hill, CL, Douglas, KA, and Adams, RJ
Published: 2013
Full Text: View/download PDF

15. Improving Benefit-harm Assessment of Therapies from the Patient Perspective: OMERACT Premeeting Toward Consensus on Core Sets for Randomized Controlled Trials

Author: Andersen, KM, Cheah, JTL, March, L, Bartlett, SJ, Beaton, D, Bingham III, CO, Brooks, PM, Christensen, R, Conaghan, PG, D'Agostino, M-A, de Wit, M, Dueck, A, Goodman, SM, Grosskleg, S, Hill, CL, Howell, M, Mackie, SL, Richards, B, Shea, B, Singh, JA, Strand, V, Tugwell, P, Wells, GA, and Simon, LS
Abstract: Objective: Outcome Measures in Rheumatology (OMERACT) convened a premeeting in 2018 to bring together patients, regulators, researchers, clinicians, and consumers to build upon previous OMERACT drug safety work, with patients fully engaged throughout all phases. Methods: Day 1 included a brief introduction to the history of OMERACT and methodology, and an overview of current efforts within and outside OMERACT to identify patient-reported medication safety concerns. On Day 2, two working groups presented results; after each, breakout groups were assembled to discuss findings. Results: Five themes pertaining to drug safety measurement emerged. Conclusion: Current approaches have failed to include data from the patient’s perspective. A better understanding of how individuals with rheumatic diseases view potential benefits and harms of therapies is essential.
Published: 2019

16. Digital ulcers in systemic sclerosis: their epidemiology, clinical characteristics, and associated clinical and economic burden

Author: Morrisroe, K, Stevens, W, Sahhar, J, Ngian, G-S, Ferdowsi, N, Hill, CL, Roddy, J, Walker, J, Proudman, S, Nikpour, M, Morrisroe, K, Stevens, W, Sahhar, J, Ngian, G-S, Ferdowsi, N, Hill, CL, Roddy, J, Walker, J, Proudman, S, and Nikpour, M
Abstract: BACKGROUND: To determine the frequency and clinical characteristics of systemic sclerosis-related digital ulcers, and associated direct health care costs, quality of life, and survival. METHODS: Digital ulcers (DUs) were defined as an area with a visually discernible depth and a loss of continuity of epithelial coverage. DU severity was calculated based on the physician reported highest number of new DUs at clinical review (mild = 1-5 DUs, moderate 6-10 DUs, severe > 10 DUs). Healthcare use was captured through data linkage, wherein SSc clinical data captured prospectively in a dedicated clinical database were linked with health services databases to capture hospital admissions, emergency department (ED) presentations and ambulatory care (MBS) utilization and cost for the period 2008-2015. Healthcare cost determinants were estimated using logistic regression. RESULTS: Among 1085 SSc patients, 48.6% experienced a DU over a mean follow-up of 5.2 ± 2.5 years. Those who developed DUs were more likely to have diffuse disease subtype (34.9% vs 18.2%, p < 0.001), anti-Scl-70 antibody (18.9% vs 9.3%, p < 0.001), and a younger age at SSc onset (43.6 ± 13.9 vs 48.8 ± 14.0 years, p < 0.001) in addition to reduced health-related quality of life (HRQoL) measured by the SF-36 but without a significant impact on survival. SSc patients with a history of a DU utilized significantly more healthcare resources per annum than those without a DU, including hospitalizations, ED presentation, and ambulatory care services. Total healthcare services, excluding medications, were associated with an annual excess cost per DU patient of AUD$12,474 (8574-25,677), p < 0.001, driven by hospital admission and ED presentation costs. CONCLUSION: DUs place a large burden on the patient and healthcare system through reduced HRQoL and increased healthcare resource utilization and associated cost.
Published: 2019

17. The economic burden of systemic sclerosis related pulmonary arterial hypertension in Australia

Author: Morrisroe, K, Stevens, W, Sahhar, J, Ngian, G-S, Ferdowsi, N, Hansen, D, Patel, S, Hill, CL, Roddy, J, Walker, J, Proudman, S, Nikpour, M, Morrisroe, K, Stevens, W, Sahhar, J, Ngian, G-S, Ferdowsi, N, Hansen, D, Patel, S, Hill, CL, Roddy, J, Walker, J, Proudman, S, and Nikpour, M
Abstract: BACKGROUND: To quantify the financial cost of pulmonary arterial hypertension (PAH) in systemic sclerosis (SSc). METHODS: Healthcare use was captured through data linkage, wherein clinical data for SSc patients enrolled in the Australian Scleroderma Cohort Study were linked with hospital, emergency department (ED) and ambulatory care databases (MBS) for the period 2008-2015. PAH was diagnosed on right heart catheter according to international criteria. Determinants of healthcare cost were estimated using logistic regression. RESULTS: Total median (25th-75th) healthcare cost per patient (including hospital, ED and MBS cost but excluding medication cost) for our cohort during 2008-2015 was AUD$37,685 (18,144-78,811) with an annual per patient healthcare cost of AUD$7506 (5273-10,654). Total healthcare cost was higher for SSc-PAH patients compared with those without PAH with a total cost per patient of AUD$70,034 (37,222-110,814) vs AUD$34,325 (16,093 - 69,957), p < 0.001 respectively with an annual excess healthcare cost per PAH patient of AUD$2463 (1973-1885), p < 0.001. The cost of SSc-PAH occurs early post PAH diagnosis with 89.4% utilizing a healthcare service within the first 12 months post PAH diagnosis with an associated cost per patient of AUD$4125 (0-15,666). PAH severity was the main significant determinant of increased healthcare cost (OR 2.5, p = 0.03) in our PAH cohort. CONCLUSIONS: Despite SSc-PAH being a low prevalence disease, it is associated with significant healthcare resource utilization and associated economic burden, predominantly driven by the severity of PAH.
Published: 2019

18. Prevalence of Foot Pain Across an International Consortium of Population-Based Cohorts

Author: Gates, LS, Arden, NK, Hannan, MT, Roddy, E, Gill, TK, Hill, CL, Dufour, AB, Rathod-Mistry, T, Thomas, MJ, Menz, HB, Bowen, CJ, and Golightly, YM
Subjects: Cohort Studies, Foot Diseases, RC925, Prevalence, Humans, Pain, R1, RA, Article
Abstract: Objective: Despite the potential burden of foot pain, some of the most fundamental epidemiologic questions surrounding the foot remain poorly explored. The prevalence of foot pain has proven to be difficult to compare across existing studies due to variations in case definitions. The objective of this study was to investigate the prevalence of foot pain in several international population-based cohorts using original data and to explore differences in the case definitions used.Methods: Foot pain variables were examined in 5 cohorts: the Chingford 1000 Women Study, the Johnston County Osteoarthritis Project, the Framingham Foot Study, the Clinical Assessment Study of the Foot, and the North West Adelaide Health Study. One question about foot pain was chosen from each cohort based on its similarity to the American College of Rheumatology pain question.Results: The precise definition of foot pain varied between the cohorts. The prevalence of foot pain ranged from 13% to 36% and was lowest in the cohort in which the case definition specific to pain was used, compared to the 4 remaining cohorts in which a definition included components of pain, aching, or stiffness. Foot pain was generally more prevalent in women and obese individuals and generally increased with age, with the prevalence being much lower in younger participants (ages 20–44 years).Conclusion: Foot pain is common and is associated with female sex, older age, and obesity. Estimates of the prevalence of foot pain are likely to be affected by the case definition used. Therefore, in future population studies, the use of consistent measures of data collection must be considered.
Published: 2018

19. Stiffness Is the Cardinal Symptom of Inflammatory Musculoskeletal Diseases, Yet Still Variably Measured: Report from the OMERACT 2016 Stiffness Special Interest Group

Author: Halls, S, Sinnathurai, P, Hewlett, S, Mackie, SL, March, L, Bartlett, SJ, Bingham III, CO, Alten, R, Campbell, I, Hill, CL, Holt, RJ, Hughes, R, Kirwan, JR, Leong, AL, Leung, YY, Lyddiatt, A, Neill, L, and Orbai, A-M
Subjects: musculoskeletal diseases, animal structures, technology, industry, and agriculture, macromolecular substances, equipment and supplies
Abstract: Objective: The objectives of the Outcome Measures in Rheumatology (OMERACT) Stiffness special interest group (SIG) are to characterize stiffness as an outcome in rheumatic disease and to identify and validate a stiffness patient-reported outcome (PRO) in rheumatology. Methods: At OMERACT 2016, international groups presented and discussed results of several concurrent research projects on stiffness: a literature review of rheumatoid arthritis (RA) stiffness PRO measures, a qualitative investigation into the RA and polymyalgia rheumatica patient perspective of stiffness, data-driven stiffness conceptual model development, development and testing of an RA stiffness PRO measure, and a quantitative work testing stiffness items in patients with RA and psoriatic arthritis. Results: The literature review identified 52 individual stiffness PRO measures assessing morning or early morning stiffness severity/intensity or duration. Items were heterogeneous, had little or inconsistent psychometric property evidence, and did not appear to have been developed according to the PRO development guidelines. A poor match between current stiffness PRO and the conceptual model identifying the RA patient experience of stiffness was identified, highlighting a major flaw in PRO selection according to the OMERACT filter 2.0. Conclusion: Discussions within the Stiffness SIG highlighted the importance of further research on stiffness and defined a research agenda.
Published: 2017

20. The OMERACT core domain set for outcome measures for clinical trials in polymyalgia rheumatica

Author: Mackie, SL, Twohig, H, Neill, LM, Harrison, E, Shea, B, Black, RJ, Kermani, TA, Merkel, PA, Mallen, CD, Buttgereit, F, Mukhtyar, C, Simon, LS, Hill, CL, and OMERACT PMR Working Group, .
Subjects: musculoskeletal diseases, medicine.medical_specialty, Delphi Technique, Immunology, Delphi method, Outcome (game theory), Article, Domain (software engineering), Polymyalgia rheumatica, 03 medical and health sciences, 0302 clinical medicine, Quality of life (healthcare), Rheumatology, RC925, Outcome Assessment, Health Care, medicine, Humans, Immunology and Allergy, 030212 general & internal medicine, Set (psychology), 030203 arthritis & rheumatology, Clinical Trials as Topic, business.industry, medicine.disease, Clinical trial, Polymyalgia Rheumatica, Research Design, Antirheumatic Agents, Quality of Life, Physical therapy, business, RA, Qualitative research
Abstract: Objective.To inform development of a core domain set for outcome measures for clinical trials in polymyalgia rheumatica (PMR), we conducted patient consultations, a systematic review, a Delphi study, and 2 qualitative studies.Methods.Domains identified by 70% or more of physicians and/or patients in the Delphi study were selected. The conceptual framework derived from the 2 qualitative research studies helped inform the meaning of each domain and its relationship to the others. The draft core domain set was refined by further discussion with patients and physicians who had participated in the Delphi study. At the Outcome Measures in Rheumatology (OMERACT) 2016, the domains were discussed and prioritized by 8 breakout groups. Formal voting took place at the end of the workshop and in the final plenary.Results.Ninety-three percent of voters in the final plenary agreed that the inner core of domains considered mandatory for clinical trials of PMR should consist the following: laboratory markers of systemic inflammation, pain, stiffness, and physical function. Patient’s global and fatigue were considered important but not mandatory (outer core). The research agenda included psychological impact, weakness, physical activity, participation, sleep, imaging, and health-related quality of life.Conclusion.This core domain set was considered sufficiently well-defined that the next step will be to apply the OMERACT Filter 2.0 Instrument Selection Algorithm to select candidate instruments for a subsequent “deeper dive” into the data. This will allow instruments to be mapped onto each of our core domains to derive a core outcome set for PMR.
Published: 2017

21. Geo-epidemiology of temporal artery biopsy-positive giant cell arteritis in Australia and New Zealand: is there a seasonal influence?

Author: De Smit, E, Clarke, L, Sanfilippo, PG, Merriman, TR, Brown, MA, Hill, CL, Hewitt, AW, De Smit, E, Clarke, L, Sanfilippo, PG, Merriman, TR, Brown, MA, Hill, CL, and Hewitt, AW
Abstract: OBJECTIVE: Previous studies, although inconclusive, have suggested possible associations of environmental risk factors with the development of giant cell arteritis (GCA). We aim to investigate seasonal influence on the incidence of GCA across Australia and New Zealand. METHODS: In establishing an international study to investigate the molecular aetiology of GCA, archived temporal artery biopsy (TAB) specimens primarily from Australia and New Zealand were obtained. Demographic details including age, sex and date of TAB were collected from collaborating pathology departments. The season in which GCA was diagnosed was determined and compared with previous reports investigating the association between environmental risk factors and GCA. RESULTS: Our study comprises data from 2224 TAB-positive patients with GCA; 2099 of which were from patients in Australia and New Zealand. The mean age at time of diagnosis was 76.4 years of age. The female-to-male ratio was 2.2:1. We noted equal distribution of the incidence rate across all four seasons (530-580 cases diagnosed every quarter). Statistical analysis of seasonal variation by Poisson regression and cosinor methods showed no incidence preponderance across seasons. Our results do not support a seasonal component contributing to the onset of disease. Our literature search identifies no consistent environmental risk factor in association with GCA. CONCLUSION: This is the largest GCA data set reported outside of Europe. Our results demonstrate equal distribution of the incidence rate across all four seasons. In contrast to some earlier reports, we did not identify evidence of a seasonal component contributing to the onset of disease.
Published: 2017

22. The structure of a cypovirus and the functional organization of dsRNA viruses

Author: Hill, CL, Booth, TF, Prasad, BV, Grimes, JM, Mertens, PP, Sutton, GC, and Stuart, DI
Subjects: viruses
Abstract: Cytoplasmic polyhedrosis virus (CPV) is unique among the double-stranded RNA viruses of the family Reoviridae in having a single capsid layer. Analysis by cryo-electron microscopy allows comparison of the single shelled CPV and orthoreovirus with the high resolution crystal structure of the inner shell of the bluetongue virus (BTV) core. This suggests that the novel arrangement identified in BTV, of 120 protein subunits in a so-called 'T=2' organization, is a characteristic of the Reoviridae and allows us to delineate structural similarities and differences between two subgroups of the family--the turreted and the smooth-core viruses. This in turn suggests a coherent picture of the structural organization of many dsRNA viruses.
Published: 2016

23. Lateral wedge insoles for reducing biomechanical risk factors for medial knee osteoarthritis progression : a systematic review and meta-analysis

Author: Arnold, JB, Wong, DX, Jones, R, Hill, CL, and Thewlis, D
Abstract: Objective\ud Lateral wedge insoles are intended to reduce biomechanical risk factors of medial knee osteoarthritis (OA) progression, such as increased knee joint load; however, there has been no definitive consensus on this topic. The aim of this systematic review and meta-analysis was to establish the within-subject effects of lateral wedge insoles on knee joint load in people with medial knee OA during walking.\ud Methods\ud Six databases were searched from inception until February 13th 2015. Included studies reported on the acute biomechanical effects of lateral wedge insoles in people with medial knee osteoarthritis during walking. Primary outcomes of interest relating to the biomechanical risk of disease progression were the 1st and 2nd peak external knee adduction moment (EKAM) and knee adduction angular impulse (KAAI). Eligible studies were pooled using random-effects meta-analysis.\ud Results\ud Eighteen studies were included with a total of 534 participants. Lateral wedge insoles resulted in a small but statistically significant reduction in the 1st peak EKAM (SMD: -0.19; 95% CI -0.23 − -0.15) and 2nd peak EKAM (SMD: -0.25; 95% CI -0.32 − -0.19) with a low level of heterogeneity (I2 = 5% and 30%, respectively). There was a favourable but small reduction in the KAAI with lateral wedge insoles (SMD: -0.14; 95% CI -0.21 − -0.07, I2 =31%). Risk of methodological bias scores (Quality Index) ranged from 8 to 13 out of 16.\ud Conclusions\ud Lateral wedge insoles cause small reductions in the EKAM and KAAI in people with medial knee OA during walking. At present, they appear ineffective at attenuating structural changes in people with medial knee OA as a whole and may be better suited to targeted use in biomechanical phenotypes associated with larger reductions in knee load.
Published: 2016

24. PTPN22 R620W minor allele is a genetic risk factor for giant cell arteritis

Author: Lester, S, Hewitt, AW, Ruediger, CD, Bradbury, L, De Smit, E, Wiese, MD, Black, R, Harrison, A, Jones, G, Littlejohn, GO, Merriman, TR, Shenstone, B, Smith, MD, Rischmueller, M, Brown, MA, Hill, CL, Lester, S, Hewitt, AW, Ruediger, CD, Bradbury, L, De Smit, E, Wiese, MD, Black, R, Harrison, A, Jones, G, Littlejohn, GO, Merriman, TR, Shenstone, B, Smith, MD, Rischmueller, M, Brown, MA, and Hill, CL
Abstract: Giant cell arteritis (GCA) is one of the commonest forms of vasculitis in the elderly, and may result in blindness and stroke. The pathogenesis of GCA is not understood, although environmental, infectious and genetic risk factors are implicated. One gene of interest is PTPN22, encoding lymphoid protein tyrosine phosphatase (Lyp), expressed exclusively in immune cells, which is proposed to be an 'archetypal non-HLA autoimmunity gene'. The minor allele of a functional PTPN22 single nucleotide polymorphism (rs2476601, R620W), which disrupts an interaction motif in the protein, was originally reported to be associated with biopsy-proven GCA in Spanish patients, with supporting data from three replicate Northern European studies. Recently, this observation was extended with additional patients and controls, and studies encompassing European, Scandinavian, UK and American patients. The aim of our study was to determine the association between PTPN22 rs2476601 (R620W) and biopsy-proven GCA in an Australian case cohort.
Published: 2016

25. SEVERITY OF OSTEOARTHRITIS IN GLOBAL POPULATIONS

Author: Cross, M, Smtih, EU, Hoy, D, Nolte, S, Ackerman, I, Fransen, M, Bridgett, L, Williams, S, Hill, CL, Laslett, LL, Jones, G, Cicuttini, FM, Osborne, Richard, Vos, T, Buchbinder, R, Woolf, AD, March, L, Cross, M, Smtih, EU, Hoy, D, Nolte, S, Ackerman, I, Fransen, M, Bridgett, L, Williams, S, Hill, CL, Laslett, LL, Jones, G, Cicuttini, FM, Osborne, Richard, Vos, T, Buchbinder, R, Woolf, AD, and March, L
Published: 2014

26. The global burden of hip and knee osteoarthritis: estimates from the Global Burden of Disease 2010 study

Author: Cross, M, Smith, E, Hoy, D, Nolte, S, Ackerman, I, Fransen, M, Bridgett, L, Williams, S, Guillemin, F, Hill, CL, Laslett, LL, Jones, G, Cicuttini, FM, Osborne, R, Vos, T, Buchbinder, R, Woolf, A, March, L, Cross, M, Smith, E, Hoy, D, Nolte, S, Ackerman, I, Fransen, M, Bridgett, L, Williams, S, Guillemin, F, Hill, CL, Laslett, LL, Jones, G, Cicuttini, FM, Osborne, R, Vos, T, Buchbinder, R, Woolf, A, and March, L
Abstract: OBJECTIVE: To estimate the global burden of hip and knee osteoarthritis (OA) as part of the Global Burden of Disease 2010 study and to explore how the burden of hip and knee OA compares with other conditions. METHODS: Systematic reviews were conducted to source age-specific and sex-specific epidemiological data for hip and knee OA prevalence, incidence and mortality risk. The prevalence and incidence of symptomatic, radiographic and self-reported hip or knee OA were included. Three levels of severity were defined to derive disability weights (DWs) and severity distribution (proportion with mild, moderate and severe OA). The prevalence by country and region was multiplied by the severity distribution and the appropriate disability weight to calculate years of life lived with disability (YLDs). As there are no deaths directly attributed to OA, YLDs equate disability-adjusted life years (DALYs). RESULTS: Globally, of the 291 conditions, hip and knee OA was ranked as the 11th highest contributor to global disability and 38th highest in DALYs. The global age-standardised prevalence of knee OA was 3.8% (95% uncertainty interval (UI) 3.6% to 4.1%) and hip OA was 0.85% (95% UI 0.74% to 1.02%), with no discernible change from 1990 to 2010. Prevalence was higher in females than males. YLDs for hip and knee OA increased from 10.5 million in 1990 (0.42% of total DALYs) to 17.1 million in 2010 (0.69% of total DALYs). CONCLUSIONS: Hip and knee OA is one of the leading causes of global disability. Methodological issues within this study make it highly likely that the real burden of OA has been underestimated. With the aging and increasing obesity of the world's population, health professions need to prepare for a large increase in the demand for health services to treat hip and knee OA.
Published: 2014

27. PMS67 - Development of The Oiqol-A: A Health-Related Quality of Life Measure For Adults With Osteogenisis Imperfecta

Author: Moshkovich, O, Benjamin, K, Macey, J, Doll, HA, Hill, CL, and Hall, AK
Published: 2017
Full Text: View/download PDF

28. The role of the cell-cell adhesion molecule E-cadherin in large bowel tumour cell invasion and metastasis

Author: Kinsella, AR, primary, Green, B, additional, Lepts, GC, additional, Hill, CL, additional, Bowie, G, additional, and Taylor, BA, additional
Published: 1993
Full Text: View/download PDF

29. Risk of cancer in patients with biopsy-proven giant cell arteritis [corrected] [published erratum appears in RHEUMATOLOGY 2010 Nov;49(11):2230].

Author: Hill CL, Cole A, Rischmueller M, Dodd T, Coleman M, Tucker G, and Roberts-Thomson P
Published: 2010
Full Text: View/download PDF

30. Health literacy - A new concept for general practice?

Author: Adams RJ, Stocks NP, Wilson DH, Hill CL, Gravier S, Kickbusch I, and Beilby JJ
Published: 2009

31. Independent Association of HbA(1c) and Incident Cardiovascular Disease in People Without Diabetes.

Author: Adams RJ, Appleton SL, Hill CL, Wilson DH, Taylor AW, Chittleborough CR, Gill TK, and Ruffin RE
Published: 2009
Full Text: View/download PDF