69 results on '"Pourtaheri, N"'
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2. Temporomandibular Joint Space in Robin Sequence before and after Mandibular Distraction Osteogenesis
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Pourtaheri, N., primary, Maniskas, S., additional, Singh, A., additional, Bruckman, K., additional, and Steinbacher, D., additional
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- 2020
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3. Surgical Treatment of Massive Temporomandibular Joint Synovial Chondromatosis with Intracranial Extension
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Whiting, D., primary, Pourtaheri, N., additional, Chandler, L., additional, Maniskas, S., additional, and Steinbacher, D., additional
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- 2020
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4. Profileplasty: Comprehensive Profile Management Algorithm for Rhinoplasty Patients
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Pourtaheri, N., primary, Maniskas, S., additional, Chandler, L., additional, and Steinbacher, D., additional
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- 2020
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- View/download PDF
5. S6A-02 SESSION 6A
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Smetona, J., primary, Wu, R. T., additional, Gabrick, K. S., additional, Singh, A., additional, Pourtaheri, N., additional, Taylor, J. A., additional, Bartlett, S. P., additional, Steinbacher, D. M., additional, Persing, J. A., additional, and Alperovich, M., additional
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- 2019
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6. S8A-09 SESSION 8A
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Gabrick, K., primary, Wu, R., additional, Singh, A., additional, Pourtaheri, N., additional, Persing, J., additional, and Alperovich, M., additional
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- 2019
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7. Thresholds for Transverse Stimulation: Fiber Bundles in a Uniform Field
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Pourtaheri, N., primary, Ying, W., additional, Kim, J., additional, and Henriquez, C., additional
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- 2010
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8. Studying the Effect of Components of Organizational Culture on Knowledge Management in Afzalipuor Educational-Treatment Hospitals of Kerman: 2012.
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Pourtaheri, N., Hesam, S., and Fathi, A.
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CORPORATE culture , *SOCIOLOGY of corporations , *CULTURE , *ORGANIZATIONAL behavior , *BUILDINGS -- Social aspects - Abstract
Introduction: Knowledge management is one of the great achievements of the information and knowledge age. Research shows that the most important factor in the success of knowledge is knowledge-based culture. Therefore, it is necessary to examine the impact of organizational culture on knowledge management; the aim of this study is to examine the impact of organizational culture elements on knowledge management in educational-treatment hospitals in Kerman. Methods: This descriptive, cross-sectional and applied study was carried out in 2012 in Afzalipour educational-treatment hospitals of Kerman. Statistical universe included all administrative and Paraclinical staff of this hospital; of them, 86 ones were selected using random cluster sampling method. Data was collected through questionnaires and was analyzed using Pearson correlation and spss statistical software. Results: most studied subjects considered status of organizational culture average (average score: 3.07). The highest score was related to the component “adaptability culture” with average score of 3.18, and the lowest was related to “collaboration culture” with average score of 2.97. Knowledge management was also in poor condition with average score of 2.73. Finally, a statistically significant relationship was obtained between organizational culture and knowledge management with a correlation coefficient of r=0/56; therefore, as organizational culture increases, knowledge management increases too, and all organizational culture components affect knowledge management. Conclusions: organizational culture was in average condition and knowledge management was in poor condition. Concerning a statistically significant relationship between organizational culture and knowledge management, it can be concluded that it will result in successful changes in hospitals and will help mangers make a systematic prediction of change priorities and codify strategies to perform management techniques and processes successfully. [ABSTRACT FROM AUTHOR]
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- 2015
9. Real-time theoretical compartmental model of blood-brain barrier drug delivery.
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Pourtaheri, N. and Truskey, G.A.
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- 2004
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10. Real-time theoretical compartmental model of blood-brain barrier drug delivery
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Pourtaheri, N., primary and Truskey, G.A., additional
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11. 1-D blood vessel modeling: vessel area and flow rate control
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Pourtaheri, N., primary
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12. Global, regional, and national burden of colorectal cancer and its risk factors, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
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Rajesh Sharma, Mohsen Abbasi-Kangevari, Rami Abd-Rabu, Hassan Abidi, Eman Abu-Gharbieh, Juan Manuel Acuna, Sangeet Adhikari, Shailesh M Advani, Muhammad Sohail Afzal, Mohamad Aghaie Meybodi, Bright Opoku Ahinkorah, Sajjad Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Luai A Ahmed, Muktar Beshir Ahmed, Hanadi Al Hamad, Fares Alahdab, Fahad Mashhour Alanezi, Turki M Alanzi, Fadwa Alhalaiqa Naji Alhalaiqa, Yousef Alimohamadi, Vahid Alipour, Syed Mohamed Aljunid, Motasem Alkhayyat, Sami Almustanyir, Rajaa M Al-Raddadi, Saba Alvand, Nelson Alvis-Guzman, Saeed Amini, Robert Ancuceanu, Amir Anoushiravani, Ali Arash Anoushirvani, Alireza Ansari-Moghaddam, Jalal Arabloo, Armin Aryannejad, Mohammad Asghari Jafarabadi, Seyyed Shamsadin Athari, Floriane Ausloos, Marcel Ausloos, Atalel Fentahun Awedew, Mamaru Ayenew Awoke, Tegegn Mulatu Ayana, Sina Azadnajafabad, Hiva Azami, Mohammadreza Azangou-Khyavy, Amirhossein Azari Jafari, Ashish D Badiye, Sara Bagherieh, Saeed Bahadory, Atif Amin Baig, Jennifer L Baker, Maciej Banach, Amadou Barrow, Alemshet Yirga Berhie, Sima Besharat, Devidas S Bhagat, Akshaya Srikanth Bhagavathula, Neeraj Bhala, Krittika Bhattacharyya, Vijayalakshmi S Bhojaraja, Sadia Bibi, Ali Bijani, Antonio Biondi, Tone Bjørge, Belay Boda Abule Bodicha, Dejana Braithwaite, Hermann Brenner, Daniela Calina, Chao Cao, Yin Cao, Giulia Carreras, Felix Carvalho, Ester Cerin, Raja Chandra Chakinala, William C S Cho, Dinh-Toi Chu, Joao Conde, Vera Marisa Costa, Natália Cruz-Martins, Omid Dadras, Xiaochen Dai, Lalit Dandona, Rakhi Dandona, Anna Danielewicz, Feleke Mekonnen Demeke, Getu Debalkie Demissie, Rupak Desai, Deepak Dhamnetiya, Mostafa Dianatinasab, Daniel Diaz, Mojtaba Didehdar, Saeid Doaei, Linh Phuong Doan, Milad Dodangeh, Fatemeh Eghbalian, Debela Debela Ejeta, Michael Ekholuenetale, Temitope Cyrus Ekundayo, Iman El Sayed, Muhammed Elhadi, Daniel Berhanie Enyew, Tahir Eyayu, Rana Ezzeddini, Ildar Ravisovich Fakhradiyev, Umar Farooque, Hossein Farrokhpour, Farshad Farzadfar, Ali Fatehizadeh, Hamed Fattahi, Nima Fattahi, Masood Fereidoonnezhad, Eduarda Fernandes, Getahun Fetensa, Irina Filip, Florian Fischer, Masoud Foroutan, Peter Andras Gaal, Mohamed M Gad, Silvano Gallus, Tushar Garg, Tamiru Getachew, Seyyed-Hadi Ghamari, Ahmad Ghashghaee, Nermin Ghith, Maryam Gholamalizadeh, Jamshid Gholizadeh Navashenaq, Abraham Tamirat Gizaw, James C Glasbey, Mahaveer Golechha, Pouya Goleij, Kebebe Bekele Gonfa, Giuseppe Gorini, Avirup Guha, Sapna Gupta, Veer Bala Gupta, Vivek Kumar Gupta, Rasool Haddadi, Nima Hafezi-Nejad, Arvin Haj-Mirzaian, Rabih Halwani, Shafiul Haque, Sanam Hariri, Ahmed I Hasaballah, Soheil Hassanipour, Simon I Hay, Claudiu Herteliu, Ramesh Holla, Mohammad-Salar Hosseini, Mehdi Hosseinzadeh, Mihaela Hostiuc, Mowafa Househ, Junjie Huang, Ayesha Humayun, Ivo Iavicoli, Olayinka Stephen Ilesanmi, Irena M Ilic, Milena D Ilic, Farhad Islami, Masao Iwagami, Mohammad Ali Jahani, Mihajlo Jakovljevic, Tahereh Javaheri, Ranil Jayawardena, Rime Jebai, Ravi Prakash Jha, Tamas Joo, Nitin Joseph, Farahnaz Joukar, Jacek Jerzy Jozwiak, Ali Kabir, Rohollah Kalhor, Ashwin Kamath, Neeti Kapoor, Ibraheem M Karaye, Amirali Karimi, Joonas H Kauppila, Asma Kazemi, Mohammad Keykhaei, Yousef Saleh Khader, Himanshu Khajuria, Rovshan Khalilov, Javad Khanali, Maryam Khayamzadeh, Mahmoud Khodadost, Hanna Kim, Min Seo Kim, Adnan Kisa, Sezer Kisa, Ali-Asghar Kolahi, Hamid Reza Koohestani, Jacek A Kopec, Rajasekaran Koteeswaran, Ai Koyanagi, Yuvaraj Krishnamoorthy, G Anil Kumar, Manoj Kumar, Vivek Kumar, Carlo La Vecchia, Faris Hasan Lami, Iván Landires, Caterina Ledda, Sang-woong Lee, Wei-Chen Lee, Yeong Yeh Lee, Elvynna Leong, Bingyu Li, Stephen S Lim, Stany W Lobo, Joana A Loureiro, Raimundas Lunevicius, Farzan Madadizadeh, Ata Mahmoodpoor, Azeem Majeed, Mohammad-Reza Malekpour, Reza Malekzadeh, Ahmad Azam Malik, Fariborz Mansour-Ghanaei, Lorenzo Giovanni Mantovani, Miquel Martorell, Sahar Masoudi, Prashant Mathur, Jitendra Kumar Meena, Entezar Mehrabi Nasab, Walter Mendoza, Alexios-Fotios A Mentis, Tomislav Mestrovic, Junmei Miao Jonasson, Bartosz Miazgowski, Tomasz Miazgowski, Gelana Fekadu Worku Mijena, Seyyedmohammadsadeq Mirmoeeni, Mohammad Mirza-Aghazadeh-Attari, Hamed Mirzaei, Sanjeev Misra, Karzan Abdulmuhsin Mohammad, Esmaeil Mohammadi, Saeed Mohammadi, Seyyede Momeneh Mohammadi, Abdollah Mohammadian-Hafshejani, Shafiu Mohammed, Teroj Abdulrahman Mohammed, Nagabhishek Moka, Ali H Mokdad, Zeinab Mokhtari, Mariam Molokhia, Sara Momtazmanesh, Lorenzo Monasta, Ghobad Moradi, Rahmatollah Moradzadeh, Paula Moraga, Joana Morgado-da-Costa, Sumaira Mubarik, Francesk Mulita, Mohsen Naghavi, Mukhammad David Naimzada, Hae Sung Nam, Zuhair S Natto, Biswa Prakash Nayak, Javad Nazari, Ehsan Nazemalhosseini-Mojarad, Ionut Negoi, Cuong Tat Nguyen, Son Hoang Nguyen, Nurulamin M Noor, Maryam Noori, Seyyed Mohammad Ali Noori, Virginia Nuñez-Samudio, Chimezie Igwegbe Nzoputam, Bogdan Oancea, Oluwakemi Ololade Odukoya, Ayodipupo Sikiru Oguntade, Hassan Okati-Aliabad, Andrew T Olagunju, Tinuke O Olagunju, Sokking Ong, Samuel M Ostroff, Alicia Padron-Monedero, Reza Pakzad, Adrian Pana, Anamika Pandey, Fatemeh Pashazadeh Kan, Urvish K Patel, Uttam Paudel, Renato B Pereira, Navaraj Perumalsamy, Richard G Pestell, Zahra Zahid Piracha, Richard Charles G Pollok, Akram Pourshams, Naeimeh Pourtaheri, Akila Prashant, Mohammad Rabiee, Navid Rabiee, Amir Radfar, Sima Rafiei, Mosiur Rahman, Amir Masoud Rahmani, Vahid Rahmanian, Nazanin Rajai, Aashish Rajesh, Vajiheh Ramezani-Doroh, Kiana Ramezanzadeh, Kamal Ranabhat, Sina Rashedi, Amirfarzan Rashidi, Mahsa Rashidi, Mohammad-Mahdi Rashidi, Mandana Rastegar, David Laith Rawaf, Salman Rawaf, Reza Rawassizadeh, Mohammad Sadegh Razeghinia, Andre M N Renzaho, Negar Rezaei, Nima Rezaei, Saeid Rezaei, Mohsen Rezaeian, Sahba Rezazadeh-Khadem, Gholamreza Roshandel, Maha Mohamed Saber-Ayad, Bahar Saberzadeh-Ardestani, Basema Saddik, Hossein Sadeghi, Umar Saeed, Maryam Sahebazzamani, Amirhossein Sahebkar, Amir Salek Farrokhi, Amir Salimi, Hamideh Salimzadeh, Pouria Samadi, Mehrnoosh Samaei, Abdallah M Samy, Juan Sanabria, Milena M Santric-Milicevic, Muhammad Arif Nadeem Saqib, Arash Sarveazad, Brijesh Sathian, Maheswar Satpathy, Ione Jayce Ceola Schneider, Mario Šekerija, Sadaf G Sepanlou, Allen Seylani, Feng Sha, Sayed Mohammad Shafiee, Zahra Shaghaghi, Saeed Shahabi, Elaheh Shaker, Maedeh Sharifian, Javad Sharifi-Rad, Sara Sheikhbahaei, Jeevan K Shetty, Reza Shirkoohi, Parnian Shobeiri, Sudeep K Siddappa Malleshappa, Diego Augusto Santos Silva, Guilherme Silva Julian, Achintya Dinesh Singh, Jasvinder A Singh, Md Shahjahan Siraj, Gholam Reza Sivandzadeh, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Bogdan Socea, Marco Solmi, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Viktória Szerencsés, Miklós Szócska, Rafael Tabarés-Seisdedos, Elnaz Tabibian, Majid Taheri, Yasaman TaheriAbkenar, Amir Taherkhani, Iman M Talaat, Ker-Kan Tan, Abdelghani Tbakhi, Bekele Tesfaye, Amir Tiyuri, Daniel Nigusse Tollosa, Mathilde Touvier, Bach Xuan Tran, Biruk Shalmeno Tusa, Irfan Ullah, Saif Ullah, Marco Vacante, Sahel Valadan Tahbaz, Massimiliano Veroux, Bay Vo, Theo Vos, Cong Wang, Ronny Westerman, Melat Woldemariam, Seyed Hossein Yahyazadeh Jabbari, Lin Yang, Fereshteh Yazdanpanah, Chuanhua Yu, Deniz Yuce, Ismaeel Yunusa, Vesna Zadnik, Mazyar Zahir, Iman Zare, Zhi-Jiang Zhang, Mohammad Zoladl, NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM), Sharma, Rajesh, Abbasi-Kangevari, Mohsen, Abd-Rabu, Rami, Abidi, Hassan, Ahmed, Muktar Beshir, Zoladl, Mohammad, GBD 2019 Colorectal Cancer Collaborators, Sharma, R, Abbasi-Kangevari, M, Abd-Rabu, R, Abidi, H, Abu-Gharbieh, E, Manuel Acuna, J, Adhikari, S, M Advani, S, Sohail Afzal, M, Aghaie Meybodi, M, Opoku Ahinkorah, B, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, H, A Ahmed, L, Beshir Ahmed, M, Al Hamad, H, Alahdab, F, Mashhour Alanezi, F, M Alanzi, T, Alhalaiqa Naji Alhalaiqa, F, Alimohamadi, Y, Alipour, V, Mohamed Aljunid, S, Alkhayyat, M, Almustanyir, S, M Al-Raddadi, R, Alvand, S, Alvis-Guzman, N, Amini, S, Ancuceanu, R, Anoushiravani, A, Arash Anoushirvani, A, Ansari-Moghaddam, A, Arabloo, J, Aryannejad, A, Asghari Jafarabadi, M, Shamsadin Athari, S, Ausloos, F, Ausloos, M, Fentahun Awedew, A, Ayenew Awoke, M, Mulatu Ayana, T, Azadnajafabad, S, Azami, H, Azangou-Khyavy, M, Azari Jafari, A, D Badiye, A, Bagherieh, S, Bahadory, S, Amin Baig, A, L Baker, J, Banach, M, Barrow, A, Yirga Berhie, A, Besharat, S, S Bhagat, D, Srikanth Bhagavathula, A, Bhala, N, Bhattacharyya, K, S Bhojaraja, V, Bibi, S, Bijani, A, Biondi, A, Bj??rge, T, Boda Abule Bodicha, B, Braithwaite, D, Brenner, H, Calina, D, Cao, C, Cao, Y, Carreras, G, Carvalho, F, Cerin, E, Chandra Chakinala, R, S Cho, W, Chu, D, Conde, J, Marisa Costa, V, Cruz-Martins, N, Dadras, O, Dai, X, Dandona, L, Dandona, R, Danielewicz, A, Mekonnen Demeke, F, Debalkie Demissie, G, Desai, R, Dhamnetiya, D, Dianatinasab, M, Diaz, D, Didehdar, M, Doaei, S, Phuong Doan, L, Dodangeh, M, Eghbalian, F, Debela Ejeta, D, Ekholuenetale, M, Cyrus Ekundayo, T, El Sayed, I, Elhadi, M, Berhanie Enyew, D, Eyayu, T, Ezzeddini, R, Ravisovich Fakhradiyev, I, Farooque, U, Farrokhpour, H, Farzadfar, F, Fatehizadeh, A, Fattahi, H, Fattahi, N, Fereidoonnezhad, M, Fernandes, E, Fetensa, G, Filip, I, Fischer, F, Foroutan, M, Andras Gaal, P, M Gad, M, Gallus, S, Garg, T, Getachew, T, Ghamari, S, Ghashghaee, A, Ghith, N, Gholamalizadeh, M, Gholizadeh Navashenaq, J, Tamirat Gizaw, A, C Glasbey, J, Golechha, M, Goleij, P, Bekele Gonfa, K, Gorini, G, Guha, A, Gupta, S, Bala Gupta, V, Kumar Gupta, V, Haddadi, R, Hafezi-Nejad, N, Haj-Mirzaian, A, Halwani, R, Haque, S, Hariri, S, I Hasaballah, A, Hassanipour, S, I Hay, S, Herteliu, C, Holla, R, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Huang, J, Humayun, A, Iavicoli, I, Stephen Ilesanmi, O, M Ilic, I, D Ilic, M, Islami, F, Iwagami, M, Ali Jahani, M, Jakovljevic, M, Javaheri, T, Jayawardena, R, Jebai, R, Prakash Jha, R, Joo, T, Joseph, N, Joukar, F, Jerzy Jozwiak, J, Kabir, A, Kalhor, R, Kamath, A, Kapoor, N, M Karaye, I, Karimi, A, H Kauppila, J, Kazemi, A, Keykhaei, M, Saleh Khader, Y, Khajuria, H, Khalilov, R, Khanali, J, Khayamzadeh, M, Khodadost, M, Kim, H, Seo Kim, M, Kisa, A, Kisa, S, Kolahi, A, Reza Koohestani, H, A Kopec, J, Koteeswaran, R, Koyanagi, A, Krishnamoorthy, Y, Anil Kumar, G, Kumar, M, Kumar, V, La Vecchia, C, Hasan Lami, F, Landires, I, Ledda, C, Lee, S, Lee, W, Yeh Lee, Y, Leong, E, Li, B, S Lim, S, W Lobo, S, A Loureiro, J, Lunevicius, R, Madadizadeh, F, Mahmoodpoor, A, Majeed, A, Malekpour, M, Malekzadeh, R, Azam Malik, A, Mansour-Ghanaei, F, Mantovani, L, Martorell, M, Masoudi, S, Mathur, P, Kumar Meena, J, Mehrabi Nasab, E, Mendoza, W, A Mentis, A, Mestrovic, T, Miao Jonasson, J, Miazgowski, B, Miazgowski, T, Fekadu Worku Mijena, G, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Misra, S, Abdulmuhsin Mohammad, K, Mohammadi, E, Mohammadi, S, Momeneh Mohammadi, S, Mohammadian-Hafshejani, A, Mohammed, S, Abdulrahman Mohammed, T, Moka, N, H Mokdad, A, Mokhtari, Z, Molokhia, M, Momtazmanesh, S, Monasta, L, Moradi, G, Moradzadeh, R, Moraga, P, Morgado-da-Costa, J, Mubarik, S, Mulita, F, Naghavi, M, David Naimzada, M, Sung Nam, H, S Natto, Z, Prakash Nayak, B, Nazari, J, Nazemalhosseini-Mojarad, E, Negoi, I, Tat Nguyen, C, Hoang Nguyen, S, M Noor, N, Noori, M, Mohammad Ali Noori, S, Nu??ez-Samudio, V, Igwegbe Nzoputam, C, Oancea, B, Ololade Odukoya, O, Sikiru Oguntade, A, Okati-Aliabad, H, T Olagunju, A, O Olagunju, T, Ong, S, M Ostroff, S, Padron-Monedero, A, Pakzad, R, Pana, A, Pandey, A, Pashazadeh Kan, F, K Patel, U, Paudel, U, B Pereira, R, Perumalsamy, N, G Pestell, R, Zahid Piracha, Z, G Pollok, R, Pourshams, A, Pourtaheri, N, Prashant, A, Rabiee, M, Rabiee, N, Radfar, A, Rafiei, S, Rahman, M, Masoud Rahmani, A, Rahmanian, V, Rajai, N, Rajesh, A, Ramezani-Doroh, V, Ramezanzadeh, K, Ranabhat, K, Rashedi, S, Rashidi, A, Rashidi, M, Rastegar, M, Laith Rawaf, D, Rawaf, S, Rawassizadeh, R, Sadegh Razeghinia, M, N Renzaho, A, Rezaei, N, Rezaei, S, Rezaeian, M, Rezazadeh-Khadem, S, Roshandel, G, Mohamed Saber-Ayad, M, Saberzadeh-Ardestani, B, Saddik, B, Sadeghi, H, Saeed, U, Sahebazzamani, M, Sahebkar, A, Salek Farrokhi, A, Salimi, A, Salimzadeh, H, Samadi, P, Samaei, M, M Samy, A, Sanabria, J, M Santric-Milicevic, M, Arif Nadeem Saqib, M, Sarveazad, A, Sathian, B, Satpathy, M, Jayce Ceola Schneider, I, ekerija, M, G Sepanlou, S, Seylani, A, Sha, F, Mohammad Shafiee, S, Shaghaghi, Z, Shahabi, S, Shaker, E, Sharifian, M, Sharifi-Rad, J, Sheikhbahaei, S, K Shetty, J, Shirkoohi, R, Shobeiri, P, K Siddappa Malleshappa, S, Augusto Santos Silva, D, Silva Julian, G, Dinesh Singh, A, A Singh, J, Shahjahan Siraj, M, Reza Sivandzadeh, G, Yurievich Skryabin, V, Aleksandrovna Skryabina, A, Socea, B, Solmi, M, Sadegh Soltani-Zangbar, M, Song, S, Szerencs??s, V, Sz??cska, M, Tabar??s-Seisdedos, R, Tabibian, E, Taheri, M, Taheriabkenar, Y, Taherkhani, A, M Talaat, I, Tan, K, Tbakhi, A, Tesfaye, B, Tiyuri, A, Nigusse Tollosa, D, Touvier, M, Xuan Tran, B, Shalmeno Tusa, B, Ullah, I, Ullah, S, Vacante, M, Valadan Tahbaz, S, Veroux, M, Vo, B, Vos, T, Wang, C, Westerman, R, Woldemariam, M, Hossein Yahyazadeh Jabbari, S, Yang, L, Yazdanpanah, F, Yu, C, Yuce, D, Yunusa, I, Zadnik, V, Zahir, M, Zare, I, Zhang, Z, Zoladl, M, Sharma, R., Abbasi-Kangevari, M., Abd-Rabu, R., Abidi, H., Abu-Gharbieh, E., Acuna, J. M., Adhikari, S., Advani, S. M., Afzal, M. S., Aghaie Meybodi, M., Ahinkorah, B. O., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, H., Ahmed, L. A., Ahmed, M. B., Al Hamad, H., Alahdab, F., Alanezi, F. M., Alanzi, T. M., Alhalaiqa, F. A. N., Alimohamadi, Y., Alipour, V., Aljunid, S. M., Alkhayyat, M., Almustanyir, S., Al-Raddadi, R. M., Alvand, S., Alvis-Guzman, N., Amini, S., Ancuceanu, R., Anoushiravani, A., Anoushirvani, A. A., Ansari-Moghaddam, A., Arabloo, J., Aryannejad, A., Asghari Jafarabadi, M., Athari, S. S., Ausloos, F., Ausloos, M., Awedew, A. F., Awoke, M. A., Ayana, T. M., Azadnajafabad, S., Azami, H., Azangou-Khyavy, M., Azari Jafari, A., Badiye, A. D., Bagherieh, S., Bahadory, S., Baig, A. A., Baker, J. L., Banach, M., Barrow, A., Berhie, A. Y., Besharat, S., Bhagat, D. S., Bhagavathula, A. S., Bhala, N., Bhattacharyya, K., Bhojaraja, V. S., Bibi, S., Bijani, A., Biondi, A., Bjorge, T., Bodicha, B. B. A., Braithwaite, D., Brenner, H., Calina, D., Cao, C., Cao, Y., Carreras, G., Carvalho, F., Cerin, E., Chakinala, R. C., Cho, W. C. S., Chu, D. -T., Conde, J., Costa, V. M., Cruz-Martins, N., Dadras, O., Dai, X., Dandona, L., Dandona, R., Danielewicz, A., Demeke, F. M., Demissie, G. D., Desai, R., Dhamnetiya, D., Dianatinasab, M., Diaz, D., Didehdar, M., Doaei, S., Doan, L. P., Dodangeh, M., Eghbalian, F., Ejeta, D. D., Ekholuenetale, M., Ekundayo, T. C., El Sayed, I., Elhadi, M., Enyew, D. B., Eyayu, T., Ezzeddini, R., Fakhradiyev, I. R., Farooque, U., Farrokhpour, H., Farzadfar, F., Fatehizadeh, A., Fattahi, H., Fattahi, N., Fereidoonnezhad, M., Fernandes, E., Fetensa, G., Filip, I., Fischer, F., Foroutan, M., Gaal, P. A., Gad, M. M., Gallus, S., Garg, T., Getachew, T., Ghamari, S. -H., Ghashghaee, A., Ghith, N., Gholamalizadeh, M., Gholizadeh Navashenaq, J., Gizaw, A. T., Glasbey, J. C., Golechha, M., Goleij, P., Gonfa, K. B., Gorini, G., Guha, A., Gupta, S., Gupta, V. 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Adult ,MED/42 - IGIENE GENERALE E APPLICATA ,IMPACT ,colorectal cancer ,Colorectal Neoplasm ,GBD 2019 Colorectal Cancer Collaborators ,HEREDITARY ,Global Burden of Disease ,Cancer screening ,DISPARITIES ,SDG 3 - Good Health and Well-being ,Cancer treatment strategies ,Risk Factors ,Quality-Adjusted Life Year ,COLON ,Global studies ,DALY, GBD, colorectal cancer ,risk factors ,Humans ,Global Burden of Disease Study ,Early Detection of Cancer ,Hepatology ,MORTALITY ,Gastroenterology ,Cancer incidence rates ,Middle Aged ,Cancer burden ,SURVIVAL ,SEX ,GENDER ,Quality-Adjusted Life Years ,Colorectal Neoplasms ,Human - Abstract
Correction to Lancet Gastroenterol Hepatol 2022; 7: 627-47. Lancet Gastroenterol Hepatol. 2022 Aug;7(8):704. doi: 10.1016/S2468-1253(22)00210-2. PMID: 35809605. Background: Colorectal cancer is the third leading cause of cancer deaths worldwide. Given the recent increasing trends in colorectal cancer incidence globally, up-to-date information on the colorectal cancer burden could guide screening, early detection, and treatment strategies, and help effectively allocate resources. We examined the temporal patterns of the global, regional, and national burden of colorectal cancer and its risk factors in 204 countries and territories across the past three decades. Methods: Estimates of incidence, mortality, and disability-adjusted life years (DALYs) for colorectal cancer were generated as a part of the Global Burden of Diseases, Injuries and Risk Factors Study (GBD) 2019 by age, sex, and geographical location for the period 1990-2019. Mortality estimates were produced using the cause of death ensemble model. We also calculated DALYs attributable to risk factors that had evidence of causation with colorectal cancer. Findings: Globally, between 1990 and 2019, colorectal cancer incident cases more than doubled, from 842 098 (95% uncertainty interval [UI] 810 408-868 574) to 2·17 million (2·00-2·34), and deaths increased from 518 126 (493 682-537 877) to 1·09 million (1·02-1·15). The global age-standardised incidence rate increased from 22·2 (95% UI 21·3-23·0) per 100 000 to 26·7 (24·6-28·9) per 100 000, whereas the age-standardised mortality rate decreased from 14·3 (13·5-14·9) per 100 000 to 13·7 (12·6-14·5) per 100 000 and the age-standardised DALY rate decreased from 308·5 (294·7-320·7) per 100 000 to 295·5 (275·2-313·0) per 100 000 from 1990 through 2019. Taiwan (province of China; 62·0 [48·9-80·0] per 100 000), Monaco (60·7 [48·5-73·6] per 100 000), and Andorra (56·6 [42·8-71·9] per 100 000) had the highest age-standardised incidence rates, while Greenland (31·4 [26·0-37·1] per 100 000), Brunei (30·3 [26·6-34·1] per 100 000), and Hungary (28·6 [23·6-34·0] per 100 000) had the highest age-standardised mortality rates. From 1990 through 2019, a substantial rise in incidence rates was observed in younger adults (age
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- 2022
13. 1-D blood vessel modeling: vessel area and flow rate control.
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Pourtaheri, N.
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- 2003
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14. Age–sex differences in the global burden of lower respiratory infections and risk factors, 1990–2019: results from the Global Burden of Disease Study 2019
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Hmwe Hmwe Kyu, Avina Vongpradith, Sarah Brooke Sirota, Amanda Novotney, Christopher E Troeger, Matthew C Doxey, Rose G Bender, Jorge R Ledesma, Molly H Biehl, Samuel B Albertson, Joseph Jon Frostad, Katrin Burkart, Fiona B Bennitt, Jeff T Zhao, William M Gardner, Hailey Hagins, Dana Bryazka, Regina-Mae Villanueva Dominguez, Semagn Mekonnen Abate, Michael Abdelmasseh, Amir Abdoli, Gholamreza Abdoli, Aidin Abedi, Vida Abedi, Tadesse M Abegaz, Hassan Abidi, Richard Gyan Aboagye, Hassan Abolhassani, Yonas Derso Abtew, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Ahmed Abu-Zaid, Kidist Adamu, Isaac Yeboah Addo, Oyelola A Adegboye, Mohammad Adnan, Qorinah Estiningtyas Sakilah Adnani, Muhammad Sohail Afzal, Saira Afzal, Bright Opoku Ahinkorah, Aqeel Ahmad, Araz Ramazan Ahmad, Sajjad Ahmad, Ali Ahmadi, Sepideh Ahmadi, Haroon Ahmed, Jivan Qasim Ahmed, Tarik Ahmed Rashid, Mostafa Akbarzadeh-Khiavi, Hanadi Al Hamad, Luciana Albano, Mamoon A Aldeyab, Bezatu Mengistie Alemu, Kefyalew Addis Alene, 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Samarjeet Singh Siwal, Valentin Yurievich Skryabin, Anna Aleksandrovna Skryabina, Mohammad Sadegh Soltani-Zangbar, Suhang Song, Yimeng Song, Prashant Sood, Chandrashekhar T Sreeramareddy, Paschalis Steiropoulos, Muhammad Suleman, Seyed-Amir Tabatabaeizadeh, Alireza Tahamtan, Majid Taheri, Moslem Taheri Soodejani, Elahe Taki, Iman M Talaat, Mircea Tampa, Sarmila Tandukar, Nathan Y Tat, Vivian Y Tat, Yibekal Manaye Tefera, Gebremaryam Temesgen, Mohamad-Hani Temsah, Azene Tesfaye, Degefa Gomora Tesfaye, Belay Tessema, Rekha Thapar, Jansje Henny Vera Ticoalu, Amir Tiyuri, Imad I Tleyjeh, Munkhsaikhan Togtmol, Marcos Roberto Tovani-Palone, Derara Girma Tufa, Irfan Ullah, Era Upadhyay, Sahel Valadan Tahbaz, Pascual R Valdez, Rohollah Valizadeh, Constantine Vardavas, Tommi Juhani Vasankari, Bay Vo, Linh Gia Vu, Birhanu Wagaye, Yasir Waheed, Yu Wang, Abdul Waris, T Eoin West, Nuwan Darshana Wickramasinghe, Xiaoyue Xu, Sajad Yaghoubi, Gahin Abdulraheem Tayib Yahya, Seyed Hossein Yahyazadeh Jabbari, Dong Keon Yon, Naohiro Yonemoto, Burhan Abdullah Zaman, Alireza Zandifar, Moein Zangiabadian, Heather J Zar, Iman Zare, Zahra Zareshahrabadi, Armin Zarrintan, Mikhail Sergeevich Zastrozhin, Wu Zeng, Mengxi Zhang, Zhi-Jiang Zhang, Chenwen Zhong, Mohammad Zoladl, Alimuddin Zumla, Stephen S Lim, Theo Vos, Mohsen Naghavi, Michael Brauer, Simon I Hay, Christopher J L Murray, Kyu, H. H., Vongpradith, A., Sirota, S. B., Novotney, A., Troeger, C. E., Doxey, M. C., Bender, R. G., Ledesma, J. R., Biehl, M. H., Albertson, S. B., Frostad, J. J., Burkart, K., Bennitt, F. B., Zhao, J. T., Gardner, W. M., Hagins, H., Bryazka, D., Dominguez, R. -M. V., Abate, S. M., Abdelmasseh, M., Abdoli, A., Abdoli, G., Abedi, A., Abedi, V., Abegaz, T. M., Abidi, H., Aboagye, R. G., Abolhassani, H., Abtew, Y. D., Abubaker Ali, H., Abu-Gharbieh, E., Abu-Zaid, A., Adamu, K., Addo, I. Y., Adegboye, O. A., Adnan, M., Adnani, Q. E. S., Afzal, M. S., Afzal, S., Ahinkorah, B. O., Ahmad, A., Ahmad, A. R., Ahmad, S., Ahmadi, A., Ahmadi, S., Ahmed, H., Ahmed, J. Q., Ahmed Rashid, T., Akbarzadeh-Khiavi, M., Al Hamad, H., Albano, L., Aldeyab, M. A., Alemu, B. M., Alene, K. A., Algammal, A. M., Alhalaiqa, F. A. N., Alhassan, R. K., Ali, B. A., Ali, L., Ali, M. M., Ali, S. S., Alimohamadi, Y., Alipour, V., Al-Jumaily, A., Aljunid, S. M., Almustanyir, S., Al-Raddadi, R. M., Al-Rifai, R. H. H., Alryalat, S. A. S., Alvis-Guzman, N., Alvis-Zakzuk, N. J., Ameyaw, E. K., Aminian Dehkordi, J. J., Amuasi, J. H., Amugsi, D. A., Anbesu, E. W., Ansar, A., Anyasodor, A. E., Arabloo, J., Areda, D., Argaw, A. M., Argaw, Z. G., Arulappan, J., Aruleba, R. T., Asemahagn, M. A., Athari, S. S., Atlaw, D., Attia, E. F., Attia, S., Aujayeb, A., Awoke, T., Ayana, T. M., Ayanore, M. A., Azadnajafabad, S., Azangou-Khyavy, M., Azari, S., Azari Jafari, A., Badar, M., Badiye, A. D., Baghcheghi, N., Bagherieh, S., Baig, A. A., Banach, M., Banerjee, I., Bardhan, M., Barone-Adesi, F., Barqawi, H. J., Barrow, A., Bashiri, A., Bassat, Q., Batiha, A. -M. M., Belachew, A. B., Belete, M. A., Belgaumi, U. I., Bhagavathula, A. S., Bhardwaj, N., Bhardwaj, P., Bhatt, P., Bhojaraja, V. S., Bhutta, Z. A., Bhuyan, S. S., Bijani, A., Bitaraf, S., Bodicha, B. B. A., Briko, N. I., Buonsenso, D., Butt, M. H., Cai, J., Camargos, P., Camera, L. A., Chakraborty, P. A., Chanie, M. G., Charan, J., Chattu, V. K., Ching, P. R., Choi, S., Chong, Y. Y., Choudhari, S. G., Chowdhury, E. K., Christopher, D. J., Chu, D. -T., Cobb, N. L., Cohen, A. J., Cruz-Martins, N., Dadras, O., Dagnaw, F. T., Dai, X., Dandona, L., Dandona, R., Dao, A. T. M., Debela, S. A., Demisse, B., Demisse, F. W., Demissie, S., Dereje, D., Desai, H. D., Desta, A. A., Desye, B., Dhingra, S., Diao, N., Diaz, D., Digesa, L. E., Doan, L. P., Dodangeh, M., Dongarwar, D., Dorostkar, F., dos Santos, W. M., Dsouza, H. L., Dubljanin, E., Durojaiye, O. C., Edinur, H. A., Ehsani-Chimeh, E., Eini, E., Ekholuenetale, M., Ekundayo, T. C., El Desouky, E. D., El Sayed, I., El Sayed Zaki, M., Elhadi, M., Elkhapery, A. M. R., Emami, A., Engelbert Bain, L., Erkhembayar, R., Etaee, F., Ezati Asar, M., Fagbamigbe, A. F., Falahi, S., Fallahzadeh, A., Faraj, A., Faraon, E. J. A., Fatehizadeh, A., Ferrara, P., Ferrari, A. A., Fetensa, G., Fischer, F., Flavel, J., Foroutan, M., Gaal, P. A., Gaidhane, A. M., Gaihre, S., Galehdar, N., Garcia-Basteiro, A. L., Garg, T., Gebrehiwot, M. D., Gebremichael, M. A., Gela, Y. Y., Gemeda, B. N. B., Gessner, B. D., Getachew, M., Getie, A., Ghamari, S. -H., Ghasemi Nour, M., Ghashghaee, A., Gholamrezanezhad, A., Gholizadeh, A., Ghosh, R., Ghozy, S., Goleij, P., Golitaleb, M., Gorini, G., Goulart, A. C., Goyomsa, G. G., Guadie, H. A., Gudisa, Z., Guled, R. A., Gupta, S., Gupta, V. B., Gupta, V. K., Guta, A., Habibzadeh, P., Haj-Mirzaian, A., Halwani, R., Hamidi, S., Hannan, M. A., Harorani, M., Hasaballah, A. I., Hasani, H., Hassan, A. M., Hassani, S., Hassanian-Moghaddam, H., Hassankhani, H., Hayat, K., Heibati, B., Heidari, M., Heyi, D. Z., Hezam, K., Holla, R., Hong, S. H., Horita, N., Hosseini, M. -S., Hosseinzadeh, M., Hostiuc, M., Househ, M., Hoveidamanesh, S., Huang, J., Hussein, N. R., Iavicoli, I., Ibitoye, S. E., Ikuta, K. S., Ilesanmi, O. S., Ilic, I. M., Ilic, M. D., Immurana, M., Ismail, N. E., Iwagami, M., Jaafari, J., Jamshidi, E., Jang, S. -I., Javadi Mamaghani, A., Javaheri, T., Javanmardi, F., Javidnia, J., Jayapal, S. K., Jayarajah, U., Jayaram, S., Jema, A. T., Jeong, W., Jonas, J. B., Joseph, N., Joukar, F., Jozwiak, J. J., K, V., Kabir, Z., Kacimi, S. E. O., Kadashetti, V., Kalankesh, L. R., Kalhor, R., Kamath, A., Kamble, B. D., Kandel, H., Kanko, T. K., Karaye, I. M., Karch, A., Karkhah, S., Kassa, B. G., Katoto, P. D., Kaur, H., Kaur, R. J., Keikavoosi-Arani, L., Keykhaei, M., Khader, Y. S., Khajuria, H., Khan, E. A., Khan, G., Khan, I. A., Khan, M., Khan, M. N., Khan, M. A., Khan, Y. H., Khatatbeh, M. M., Khosravifar, M., Khubchandani, J., Kim, M. S., Kimokoti, R. W., Kisa, A., Kisa, S., Kissoon, N., Knibbs, L. D., Kochhar, S., Kompani, F., Koohestani, H. R., Korshunov, V. A., Kosen, S., Koul, P. A., Koyanagi, A., Krishan, K., Kuate Defo, B., Kumar, G. A., Kurmi, O. P., Kuttikkattu, A., Lal, D. K., Lam, J., Landires, I., Ledda, C., Lee, S. -W., Levi, M., Lewycka, S., Liu, G., Liu, W., Lodha, R., Lorenzovici, L., Lotfi, M., Loureiro, J. A., Madadizadeh, F., Mahmoodpoor, A., Mahmoudi, R., Mahmoudimanesh, M., Majidpoor, J., Makki, A., Malakan Rad, E., Malik, A. A., Mallhi, T. H., Manla, Y., Matei, C. N., Mathioudakis, A. G., Maude, R. J., Mehrabi Nasab, E., Melese, A., Memish, Z. A., Mendoza-Cano, O., Mentis, A. -F. A., Meretoja, T. J., Merid, M. W., Mestrovic, T., Micheletti Gomide Nogueira de Sa, A. C., Mijena, G. F. W., Minh, L. H. N., Mir, S. A., Mirfakhraie, R., Mirmoeeni, S., Mirza, A. Z., Mirza, M., Mirza-Aghazadeh-Attari, M., Misganaw, A. S., Misganaw, A. T., Mohammadi, E., Mohammadi, M., Mohammed, A., Mohammed, S., Mohan, S., Mohseni, M., Moka, N., Mokdad, A. H., Momtazmanesh, S., Monasta, L., Moniruzzaman, M., Montazeri, F., Moore, C. E., Moradi, A., Morawska, L., Mosser, J. F., Mostafavi, E., Motaghinejad, M., Mousavi Isfahani, H., Mousavi-Aghdas, S. A., Mubarik, S., Murillo-Zamora, E., Mustafa, G., Nair, S., Nair, T. S., Najafi, H., Naqvi, A. A., Narasimha Swamy, S., Natto, Z. S., Nayak, B. P., Nejadghaderi, S. A., Nguyen, H. V. N., Niazi, R. K., Nogueira de Sa, A. T., Nouraei, H., Nowroozi, A., Nunez-Samudio, V., Nzoputam, C. I., Nzoputam, O. J., Oancea, B., Ochir, C., Odukoya, O. O., Okati-Aliabad, H., Okekunle, A. P., Okonji, O. C., Olagunju, A. T., Olufadewa, I. I., Omar Bali, A., Omer, E., Oren, E., Ota, E., Otstavnov, N., Oulhaj, A., P A, M., Padubidri, J. R., Pakshir, K., Pakzad, R., Palicz, T., Pandey, A., Pant, S., Pardhan, S., Park, E. -C., Park, E. -K., Pashazadeh Kan, F., Paudel, R., Pawar, S., Peng, M., Pereira, G., Perna, S., Perumalsamy, N., Petcu, I. -R., Pigott, D. M., Piracha, Z. Z., Podder, V., Polibin, R. V., Postma, M. J., Pourasghari, H., Pourtaheri, N., Qadir, M. M. F., Raad, M., Rabiee, M., Rabiee, N., Raeghi, S., Rafiei, A., Rahim, F., Rahimi, M., Rahimi-Movaghar, V., Rahman, A., Rahman, M. O., Rahman, M., Rahman, M. A., Rahmani, A. M., Rahmanian, V., Ram, P., Ramezanzadeh, K., Rana, J., Ranasinghe, P., Rani, U., Rao, S. J., Rashedi, S., Rashidi, M. -M., Rasul, A., Ratan, Z. A., Rawaf, D. L., Rawaf, S., Rawassizadeh, R., Razeghinia, M. S., Redwan, E. M. M., Reitsma, M. B., Renzaho, A. M. N., Rezaeian, M., Riad, A., Rikhtegar, R., Rodriguez, J. A. B., Rogowski, E. L. B., Ronfani, L., Rudd, K. E., Saddik, B., Sadeghi, E., Saeed, U., Safary, A., Safi, S. Z., Sahebazzamani, M., Sahebkar, A., Sakhamuri, S., Salehi, S., Salman, M., Samadi Kafil, H., Samy, A. M., Santric-Milicevic, M. M., Sao Jose, B. P., Sarkhosh, M., Sathian, B., Sawhney, M., Saya, G. K., Seidu, A. -A., Seylani, A., Shaheen, A. A., Shaikh, M. A., Shaker, E., Shamshad, H., Sharew, M. M., Sharhani, A., Sharifi, A., Sharma, P., Sheidaei, A., Shenoy, S. M., Shetty, J. K., Shiferaw, D. S., Shigematsu, M., Shin, J. I., Shirzad-Aski, H., Shivakumar, K. M., Shivalli, S., Shobeiri, P., Simegn, W., Simpson, C. R., Singh, H., Singh, J. A., Singh, P., Siwal, S. S., Skryabin, V. Y., Skryabina, A. A., Soltani-Zangbar, M. S., Song, S., Song, Y., Sood, P., Sreeramareddy, C. T., Steiropoulos, P., Suleman, M., Tabatabaeizadeh, S. -A., Tahamtan, A., Taheri, M., Taheri Soodejani, M., Taki, E., Talaat, I. M., Tampa, M., Tandukar, S., Tat, N. Y., Tat, V. Y., Tefera, Y. M., Temesgen, G., Temsah, M. -H., Tesfaye, A., Tesfaye, D. G., Tessema, B., Thapar, R., Ticoalu, J. H. V., Tiyuri, A., Tleyjeh, I. I., Togtmol, M., Tovani-Palone, M. R., Tufa, D. G., Ullah, I., Upadhyay, E., Valadan Tahbaz, S., Valdez, P. R., Valizadeh, R., Vardavas, C., Vasankari, T. J., Vo, B., Vu, L. G., Wagaye, B., Waheed, Y., Wang, Y., Waris, A., West, T. E., Wickramasinghe, N. D., Xu, X., Yaghoubi, S., Yahya, G. A. T., Yahyazadeh Jabbari, S. H., Yon, D. K., Yonemoto, N., Zaman, B. A., Zandifar, A., Zangiabadian, M., Zar, H. J., Zare, I., Zareshahrabadi, Z., Zarrintan, A., Zastrozhin, M. S., Zeng, W., Zhang, M., Zhang, Z. -J., Zhong, C., Zoladl, M., Zumla, A., Lim, S. S., Vos, T., Naghavi, M., Brauer, M., Hay, S. I., Murray, C. J. L., University of St Andrews. School of Medicine, University of St Andrews. Population and Behavioural Science Division, Tampere University, Health Sciences, Clinical Medicine, Kyu, H, Vongpradith, A, Sirota, S, Novotney, A, Troeger, C, Doxey, M, Bender, R, Ledesma, J, Biehl, M, Albertson, S, Frostad, J, Burkart, K, Bennitt, F, Zhao, J, Gardner, W, Hagins, H, Bryazka, D, Dominguez, R, Abate, S, Abdelmasseh, M, Abdoli, A, Abdoli, G, Abedi, A, Abedi, V, Abegaz, T, Abidi, H, Aboagye, R, Abolhassani, H, Abtew, Y, Abubaker Ali, H, Abu-Gharbieh, E, Abu-Zaid, A, Adamu, K, Addo, I, Adegboye, O, Adnan, M, Adnani, Q, Afzal, M, Afzal, S, Ahinkorah, B, Ahmad, A, Ahmad, S, Ahmadi, A, Ahmadi, S, Ahmed, H, Ahmed, J, Ahmed Rashid, T, Akbarzadeh-Khiavi, M, Al Hamad, H, Albano, L, Aldeyab, M, Alemu, B, Alene, K, Algammal, A, Alhalaiqa, F, Alhassan, R, Ali, B, Ali, L, Ali, M, Ali, S, Alimohamadi, Y, Alipour, V, Al-Jumaily, A, Aljunid, S, Almustanyir, S, Al-Raddadi, R, Al-Rifai, R, Alryalat, S, Alvis-Guzman, N, Alvis-Zakzuk, N, Ameyaw, E, Aminian Dehkordi, J, Amuasi, J, Amugsi, D, Anbesu, E, Ansar, A, Anyasodor, A, Arabloo, J, Areda, D, Argaw, A, Argaw, Z, Arulappan, J, Aruleba, R, Asemahagn, M, Athari, S, Atlaw, D, Attia, E, Attia, S, Aujayeb, A, Awoke, T, Ayana, T, Ayanore, M, Azadnajafabad, S, Azangou-Khyavy, M, Azari, S, Azari Jafari, A, Badar, M, Badiye, A, Baghcheghi, N, Bagherieh, S, Baig, A, Banach, M, Banerjee, I, Bardhan, M, Barone-Adesi, F, Barqawi, H, Barrow, A, Bashiri, A, Bassat, Q, Batiha, A, Belachew, A, Belete, M, Belgaumi, U, Bhagavathula, A, Bhardwaj, N, Bhardwaj, P, Bhatt, P, Bhojaraja, V, Bhutta, Z, Bhuyan, S, Bijani, A, Bitaraf, S, Bodicha, B, Briko, N, Buonsenso, D, Butt, M, Cai, J, Camargos, P, Camera, L, Chakraborty, P, Chanie, M, Charan, J, Chattu, V, Ching, P, Choi, S, Chong, Y, Choudhari, S, Chowdhury, E, Christopher, D, Chu, D, Cobb, N, Cohen, A, Cruz-Martins, N, Dadras, O, Dagnaw, F, Dai, X, Dandona, L, Dandona, R, Dao, A, Debela, S, Demisse, B, Demisse, F, Demissie, S, Dereje, D, Desai, H, Desta, A, Desye, B, Dhingra, S, Diao, N, Diaz, D, Digesa, L, Doan, L, Dodangeh, M, Dongarwar, D, Dorostkar, F, dos Santos, W, Dsouza, H, Dubljanin, E, Durojaiye, O, Edinur, H, Ehsani-Chimeh, E, Eini, E, Ekholuenetale, M, Ekundayo, T, El Desouky, E, El Sayed, I, El Sayed Zaki, M, Elhadi, M, Elkhapery, A, Emami, A, Engelbert Bain, L, Erkhembayar, R, Etaee, F, Ezati Asar, M, Fagbamigbe, A, Falahi, S, Fallahzadeh, A, Faraj, A, Faraon, E, Fatehizadeh, A, Ferrara, P, Ferrari, A, Fetensa, G, Fischer, F, Flavel, J, Foroutan, M, Gaal, P, Gaidhane, A, Gaihre, S, Galehdar, N, Garcia-Basteiro, A, Garg, T, Gebrehiwot, M, Gebremichael, M, Gela, Y, Gemeda, B, Gessner, B, Getachew, M, Getie, A, Ghamari, S, Ghasemi Nour, M, Ghashghaee, A, Gholamrezanezhad, A, Gholizadeh, A, Ghosh, R, Ghozy, S, Goleij, P, Golitaleb, M, Gorini, G, Goulart, A, Goyomsa, G, Guadie, H, Gudisa, Z, Guled, R, Gupta, S, Gupta, V, Guta, A, Habibzadeh, P, Haj-Mirzaian, A, Halwani, R, Hamidi, S, Hannan, M, Harorani, M, Hasaballah, A, Hasani, H, Hassan, A, Hassani, S, Hassanian-Moghaddam, H, Hassankhani, H, Hayat, K, Heibati, B, Heidari, M, Heyi, D, Hezam, K, Holla, R, Hong, S, Horita, N, Hosseini, M, Hosseinzadeh, M, Hostiuc, M, Househ, M, Hoveidamanesh, S, Huang, J, Hussein, N, Iavicoli, I, Ibitoye, S, Ikuta, K, Ilesanmi, O, Ilic, I, Ilic, M, Immurana, M, Ismail, N, Iwagami, M, Jaafari, J, Jamshidi, E, Jang, S, Javadi Mamaghani, A, Javaheri, T, Javanmardi, F, Javidnia, J, Jayapal, S, Jayarajah, U, Jayaram, S, Jema, A, Jeong, W, Jonas, J, Joseph, N, Joukar, F, Jozwiak, J, K, V, Kabir, Z, Kacimi, S, Kadashetti, V, Kalankesh, L, Kalhor, R, Kamath, A, Kamble, B, Kandel, H, Kanko, T, Karaye, I, Karch, A, Karkhah, S, Kassa, B, Katoto, P, Kaur, H, Kaur, R, Keikavoosi-Arani, L, Keykhaei, M, Khader, Y, Khajuria, H, Khan, E, Khan, G, Khan, I, Khan, M, Khan, Y, Khatatbeh, M, Khosravifar, M, Khubchandani, J, Kim, M, Kimokoti, R, Kisa, A, Kisa, S, Kissoon, N, Knibbs, L, Kochhar, S, Kompani, F, Koohestani, H, Korshunov, V, Kosen, S, Koul, P, Koyanagi, A, Krishan, K, Kuate Defo, B, Kumar, G, Kurmi, O, Kuttikkattu, A, Lal, D, Lam, J, Landires, I, Ledda, C, Lee, S, Levi, M, Lewycka, S, Liu, G, Liu, W, Lodha, R, Lorenzovici, L, Lotfi, M, Loureiro, J, Madadizadeh, F, Mahmoodpoor, A, Mahmoudi, R, Mahmoudimanesh, M, Majidpoor, J, Makki, A, Malakan Rad, E, Malik, A, Mallhi, T, Manla, Y, Matei, C, Mathioudakis, A, Maude, R, Mehrabi Nasab, E, Melese, A, Memish, Z, Mendoza-Cano, O, Mentis, A, Meretoja, T, Merid, M, Mestrovic, T, Micheletti Gomide Nogueira de Sa, A, Mijena, G, Minh, L, Mir, S, Mirfakhraie, R, Mirmoeeni, S, Mirza, A, Mirza, M, Mirza-Aghazadeh-Attari, M, Misganaw, A, Mohammadi, E, Mohammadi, M, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Momtazmanesh, S, Monasta, L, Moniruzzaman, M, Montazeri, F, Moore, C, Moradi, A, Morawska, L, Mosser, J, Mostafavi, E, Motaghinejad, M, Mousavi Isfahani, H, Mousavi-Aghdas, S, Mubarik, S, Murillo-Zamora, E, Mustafa, G, Nair, S, Nair, T, Najafi, H, Naqvi, A, Narasimha Swamy, S, Natto, Z, Nayak, B, Nejadghaderi, S, Nguyen, H, Niazi, R, Nogueira de Sa, A, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Ochir, C, Odukoya, O, Okati-Aliabad, H, Okekunle, A, Okonji, O, Olagunju, A, Olufadewa, I, Omar Bali, A, Omer, E, Oren, E, Ota, E, Otstavnov, N, Oulhaj, A, P A, M, Padubidri, J, Pakshir, K, Pakzad, R, Palicz, T, Pandey, A, Pant, S, Pardhan, S, Park, E, Pashazadeh Kan, F, Paudel, R, Pawar, S, Peng, M, Pereira, G, Perna, S, Perumalsamy, N, Petcu, I, Pigott, D, Piracha, Z, Podder, V, Polibin, R, Postma, M, Pourasghari, H, Pourtaheri, N, Qadir, M, Raad, M, Rabiee, M, Rabiee, N, Raeghi, S, Rafiei, A, Rahim, F, Rahimi, M, Rahimi-Movaghar, V, Rahman, A, Rahman, M, Rahmani, A, Rahmanian, V, Ram, P, Ramezanzadeh, K, Rana, J, Ranasinghe, P, Rani, U, Rao, S, Rashedi, S, Rashidi, M, Rasul, A, Ratan, Z, Rawaf, D, Rawaf, S, Rawassizadeh, R, Razeghinia, M, Redwan, E, Reitsma, M, Renzaho, A, Rezaeian, M, Riad, A, Rikhtegar, R, Rodriguez, J, 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Adult ,Male ,Global Health ,Time ,Global Burden of Disease ,SDG 3 - Good Health and Well-being ,Risk Factors ,RA0421 ,RA0421 Public health. Hygiene. Preventive Medicine ,Humans ,Ambient air-quality ,Child ,Respiratory Tract Infections ,Aged ,Aged, 80 and over ,MCC ,Sex Characteristics ,Malnutrition ,Pyridinolcarbamate ,Bayes Theorem ,3rd-DAS ,3142 Public health care science, environmental and occupational health ,Infectious Diseases ,3121 General medicine, internal medicine and other clinical medicine ,Child, Preschool ,Female ,Particulate Matter ,Quality-Adjusted Life Years ,Covid-19 ,LRI - Abstract
Funding: Bill & Melinda Gates Foundation. Background: The global burden of lower respiratory infections (LRIs) and corresponding risk factors in children older than 5 years and adults has not been studied as comprehensively as it has been in children younger than 5 years. We assessed the burden and trends of LRIs and risk factors across all age groups by sex, for 204 countries and territories. Methods: In this analysis of data for the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019, we used clinician-diagnosed pneumonia or bronchiolitis as our case definition for LRIs. We included International Classification of Diseases 9th edition codes 079.6, 466–469, 470.0, 480–482.8, 483.0–483.9, 484.1–484.2, 484.6–484.7, and 487–489 and International Classification of Diseases 10th edition codes A48.1, A70, B97.4–B97.6, J09–J15.8, J16–J16.9, J20–J21.9, J91.0, P23.0–P23.4, and U04–U04.9. We used the Cause of Death Ensemble modelling strategy to analyse 23 109 site-years of vital registration data, 825 site-years of sample vital registration data, 1766 site-years of verbal autopsy data, and 681 site-years of mortality surveillance data. We used DisMod-MR 2.1, a Bayesian meta-regression tool, to analyse age–sex-specific incidence and prevalence data identified via systematic reviews of the literature, population-based survey data, and claims and inpatient data. Additionally, we estimated age–sex-specific LRI mortality that is attributable to the independent effects of 14 risk factors. Findings: Globally, in 2019, we estimated that there were 257 million (95% uncertainty interval [UI] 240–275) LRI incident episodes in males and 232 million (217–248) in females. In the same year, LRIs accounted for 1·30 million (95% UI 1·18–1·42) male deaths and 1·20 million (1·07–1·33) female deaths. Age-standardised incidence and mortality rates were 1·17 times (95% UI 1·16–1·18) and 1·31 times (95% UI 1·23–1·41) greater in males than in females in 2019. Between 1990 and 2019, LRI incidence and mortality rates declined at different rates across age groups and an increase in LRI episodes and deaths was estimated among all adult age groups, with males aged 70 years and older having the highest increase in LRI episodes (126·0% [95% UI 121·4–131·1]) and deaths (100·0% [83·4–115·9]). During the same period, LRI episodes and deaths in children younger than 15 years were estimated to have decreased, and the greatest decline was observed for LRI deaths in males younger than 5 years (–70·7% [–77·2 to –61·8]). The leading risk factors for LRI mortality varied across age groups and sex. More than half of global LRI deaths in children younger than 5 years were attributable to child wasting (population attributable fraction [PAF] 53·0% [95% UI 37·7–61·8] in males and 56·4% [40·7–65·1] in females), and more than a quarter of LRI deaths among those aged 5–14 years were attributable to household air pollution (PAF 26·0% [95% UI 16·6–35·5] for males and PAF 25·8% [16·3–35·4] for females). PAFs of male LRI deaths attributed to smoking were 20·4% (95% UI 15·4–25·2) in those aged 15–49 years, 30·5% (24·1–36·9) in those aged 50–69 years, and 21·9% (16·8–27·3) in those aged 70 years and older. PAFs of female LRI deaths attributed to household air pollution were 21·1% (95% UI 14·5–27·9) in those aged 15–49 years and 18·2% (12·5–24·5) in those aged 50–69 years. For females aged 70 years and older, the leading risk factor, ambient particulate matter, was responsible for 11·7% (95% UI 8·2–15·8) of LRI deaths. Interpretation: The patterns and progress in reducing the burden of LRIs and key risk factors for mortality varied across age groups and sexes. The progress seen in children younger than 5 years was clearly a result of targeted interventions, such as vaccination and reduction of exposure to risk factors. Similar interventions for other age groups could contribute to the achievement of multiple Sustainable Development Goals targets, including promoting wellbeing at all ages and reducing health inequalities. Interventions, including addressing risk factors such as child wasting, smoking, ambient particulate matter pollution, and household air pollution, would prevent deaths and reduce health disparities. Publisher PDF
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- 2022
15. Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026
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Angela E Micah, Kayleigh Bhangdia, Ian E Cogswell, Dylan Lasher, Brendan Lidral-Porter, Emilie R Maddison, Trang Nhu Ngoc Nguyen, Nishali Patel, Paola Pedroza, Juan Solorio, Hayley Stutzman, Golsum Tsakalos, Yifeng Wang, Wesley Warriner, Yingxi Zhao, Bianca S Zlavog, Cristiana Abbafati, Jaffar Abbas, Mohsen Abbasi-Kangevari, Zeinab Abbasi-Kangevari, Michael Abdelmasseh, Deldar Morad Abdulah, Aidin Abedi, Kedir Hussein Abegaz, E S Abhilash, Richard Gyan Aboagye, Hassan Abolhassani, Michael R M Abrigo, Hiwa Abubaker Ali, Eman Abu-Gharbieh, Mohammed Hussien Adem, Muhammad Sohail Afzal, Ali Ahmadi, Haroon Ahmed, Tarik Ahmed Rashid, Budi Aji, Hossein Akbarialiabad, Yibeltal Akelew, Hanadi Al Hamad, Khurshid Alam, Fahad Mashhour Alanezi, Turki M Alanzi, Mohammed Khaled Al-Hanawi, Robert Kaba Alhassan, Syed Mohamed Aljunid, Sami Almustanyir, Rajaa M Al-Raddadi, Nelson Alvis-Guzman, Nelson J Alvis-Zakzuk, Azmeraw T Amare, Edward Kwabena Ameyaw, Mostafa Amini-Rarani, Hubert Amu, Robert 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S, Yigit, A, Yigit, V, Yonemoto, N, Younis, M, Yu, C, Yunusa, I, Zaki, L, Zaman, B, Zangeneh, A, Zare Dehnavi, A, Zastrozhin, M, Zeng, W, Zhang, Z, Zuhlke, L, Zuniga, Y, Hay, S, Murray, C, and Dieleman, J
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coordination ,communication ,outbreak response ,COVID-19, GBD ,response plan ,Public Health, Global Health, Social Medicine and Epidemiology ,General Medicine ,contact management ,pandemic Covid 19 ,financing ,epidemic alert ,epidemiological investigation ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,international health regulation ,surveillance ,Global burden disease ,global spending ,preparedne - Abstract
Background The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well as a robust global system for pandemic preparedness. We aimed to provide a comparative assessment of global health spending at the onset of the pandemic; characterise the amount of development assistance for pandemic preparedness and response disbursed in the first 2 years of the COVID-19 pandemic; and examine expectations for future health spending and put into context the expected need for investment in pandemic preparedness. Methods In this analysis of global health spending between 1990 and 2021, and prediction from 2021 to 2026, we estimated four sources of health spending: development assistance for health (DAH), government spending, out-of-pocket spending, and prepaid private spending across 204 countries and territories. We used the Organisation for Economic Co-operation and Development (OECD)'s Creditor Reporting System (CRS) and the WHO Global Health Expenditure Database (GHED) to estimate spending. We estimated development assistance for general health, COVID-19 response, and pandemic preparedness and response using a keyword search. Health spending estimates were combined with estimates of resources needed for pandemic prevention and preparedness to analyse future health spending patterns, relative to need. Findings In 2019, at the onset of the COVID-19 pandemic, US$9 center dot 2 trillion (95% uncertainty interval [UI] 9 center dot 1-9 center dot 3) was spent on health worldwide. We found great disparities in the amount of resources devoted to health, with high-income countries spending $7 center dot 3 trillion (95% UI 7 center dot 2-7 center dot 4) in 2019; 293 center dot 7 times the $24 center dot 8 billion (95% UI 24 center dot 3-25 center dot 3) spent by low-income countries in 2019. That same year, $43 center dot 1 billion in development assistance was provided to maintain or improve health. The pandemic led to an unprecedented increase in development assistance targeted towards health; in 2020 and 2021, $1 center dot 8 billion in DAH contributions was provided towards pandemic preparedness in LMICs, and $37 center dot 8 billion was provided for the health-related COVID-19 response. Although the support for pandemic preparedness is 12 center dot 2% of the recommended target by the High-Level Independent Panel (HLIP), the support provided for the health -related COVID-19 response is 252 center dot 2% of the recommended target. Additionally, projected spending estimates suggest that between 2022 and 2026, governments in 17 (95% UI 11-21) of the 137 LMICs will observe an increase in national government health spending equivalent to an addition of 1% of GDP, as recommended by the HLIP. Interpretation There was an unprecedented scale-up in DAH in 2020 and 2021. We have a unique opportunity at this time to sustain funding for crucial global health functions, including pandemic preparedness. However, historical patterns of underfunding of pandemic preparedness suggest that deliberate effort must be made to ensure funding is maintained. For complete list of authors see http://dx.doi.org/10.1016/S2214-109X(23)00007-4
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- 2023
16. The global burden of cancer attributable to risk factors, 2010–19 : A systematic analysis for the Global Burden of Disease Study 2019
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Jayaram, S, Jazayeri, S, Jebai, R, Jemal, B, Jeong, W, Jha, R, Jindal, H, John-Akinola, Y, Jonas, J, Joo, T, Joseph, N, Joukar, F, Jozwiak, J, Jurisson, M, Kabir, A, Kacimi, S, Kadashetti, V, Kahe, F, Kakodkar, P, Kalankesh, L, Kalhor, R, Kamal, V, Kamangar, F, Kamath, A, Kanchan, T, Kandaswamy, E, Kandel, H, Kang, H, Kanno, G, Kapoor, N, Kar, S, Karanth, S, Karaye, I, Karch, A, Karimi, A, Kassa, B, Katoto, P, Kauppila, J, Kaur, H, Kebede, A, Keikavoosi-Arani, L, Kejela, G, Kemp Bohan, P, Keramati, M, Keykhaei, M, Khajuria, H, Khan, A, Khan, E, Khan, G, Khan, M, Khanali, J, Khatab, K, Khatatbeh, M, Khatib, M, Khayamzadeh, M, Khayat Kashani, H, Khazeei Tabari, M, Khezeli, M, Khodadost, M, Kim, M, Kim, Y, Kisa, A, Kisa, S, Klugar, M, Klugarova, J, Kolahi, A, Kolkhir, P, Kompani, F, Koul, P, Koulmane Laxminarayana, S, Koyanagi, A, Krishan, K, Krishnamoorthy, Y, Kucuk Bicer, B, Kugbey, N, Kulimbet, M, Kumar, A, Kumar, G, Kumar, N, Kurmi, O, Kuttikkattu, A, La Vecchia, C, Lahiri, A, Lal, D, Lam, J, Lan, Q, Landires, I, Larijani, B, Lasrado, S, Lau, J, Lauriola, P, Ledda, C, Lee, S, Lee, W, Lee, Y, Legesse, S, Leigh, J, Leong, E, Li, M, Lim, S, Liu, G, Liu, J, Lo, C, Lohiya, A, Lopukhov, P, Lorenzovici, L, Lotfi, M, Loureiro, J, Lunevicius, R, Madadizadeh, F, Mafi, A, Magdeldin, S, Mahjoub, S, Mahmoodpoor, A, Mahmoudi, M, Mahmoudimanesh, M, Mahumud, R, Majeed, A, Majidpoor, J, Makki, A, Makris, K, Malakan Rad, E, Malekpour, M, Malekzadeh, R, Malik, A, Mallhi, T, Mallya, S, Mamun, M, Manda, A, Mansour-Ghanaei, F, Mansouri, B, Mansournia, M, Mantovani, L, Martini, S, Martorell, M, Masoudi, S, Masoumi, S, Matei, C, Mathews, E, Mathur, M, Mathur, V, Mckee, M, Meena, J, Mehmood, K, Mehrabi Nasab, E, Mehrotra, R, Melese, A, Mendoza, W, Menezes, R, Mengesha, S, Mensah, L, Mentis, A, Mera-Mamian, A, Meretoja, T, Merid, M, Mersha, A, Meselu, B, Meshkat, M, Mestrovic, T, Miao Jonasson, J, Miazgowski, T, Michalek, I, Mijena, G, Miller, T, Mir, S, Mirinezhad, S, Mirmoeeni, S, Mirza-Aghazadeh-Attari, M, Mirzaei, H, Misganaw, A, Misra, S, Mohammad, K, Mohammadi, E, Mohammadi, M, Mohammadian-Hafshejani, A, Mohammadpourhodki, R, Mohammed, A, Mohammed, S, Mohan, S, Mohseni, M, Moka, N, Mokdad, A, Molassiotis, A, Molokhia, M, Momenzadeh, K, Momtazmanesh, S, Monasta, L, Mons, U, Montasir, A, Montazeri, F, Montero, A, Moosavi, M, Moradi, A, Moradi, Y, Moradi Sarabi, M, Moraga, P, Morawska, L, Morrison, S, Morze, J, Mosapour, A, Mostafavi, E, Mousavi, S, Mousavi Isfahani, H, Mousavi Khaneghah, A, Mpundu-Kaambwa, C, Mubarik, S, Mulita, F, Munblit, D, Munro, S, Murillo-Zamora, E, Musa, J, Nabhan, A, Nagarajan, A, Nagaraju, S, Nagel, G, Naghipour, M, Naimzada, M, Nair, T, Naqvi, A, Narasimha Swamy, S, Narayana, A, Nassereldine, H, Natto, Z, Nayak, B, Ndejjo, R, Nduaguba, S, Negash, W, Nejadghaderi, S, Nejati, K, Neupane Kandel, S, Nguyen, H, Niazi, R, Noor, N, Noori, M, Noroozi, N, Nouraei, H, Nowroozi, A, Nunez-Samudio, V, Nzoputam, C, Nzoputam, O, Oancea, B, Odukoya, O, Oghenetega, O, Ogunsakin, R, Oguntade, A, Oh, I, Okati-Aliabad, H, Okekunle, A, Olagunju, A, Olagunju, T, Olakunde, B, Olufadewa, I, Omer, E, Omonisi, A, Ong, S, Onwujekwe, O, Orru, H, Otstavnov, S, Oulhaj, A, Oumer, B, Owopetu, O, Oyinloye, B, P A, M, Padron-Monedero, A, Padubidri, J, Pakbin, B, Pakshir, K, Pakzad, R, Palicz, T, Pana, A, Pandey, A, Pant, S, Pardhan, S, Park, E, Park, S, Patel, J, Pati, S, Paudel, R, Paudel, U, Paun, M, Pazoki Toroudi, H, Peng, M, Pereira, J, Pereira, R, Perna, S, Perumalsamy, N, Pestell, R, Pezzani, R, Piccinelli, C, Pillay, J, Piracha, Z, Pischon, T, Postma, M, Pourabhari Langroudi, A, Pourshams, A, Pourtaheri, N, Prashant, A, Qadir, M, Quazi Syed, Z, Rabiee, M, Rabiee, N, Radfar, A, Radhakrishnan, R, Radhakrishnan, V, Raeisi, M, Rafiee, A, Rafiei, A, Raheem, N, Rahim, F, Rahman, M, Rahmani, A, Rahmani, S, Rahmanian, V, Rajai, N, Rajesh, A, Ram, P, Ramezanzadeh, K, Rana, J, Ranabhat, K, Ranasinghe, P, Rao, C, Rao, S, Rashedi, S, Rashidi, A, 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Sheikhbahaei, S, Sheikhi, R, Sheikhy, A, Shepherd, P, Shetty, A, Shetty, J, Shetty, R, Shibuya, K, Shirkoohi, R, Shirzad-Aski, H, Shivakumar, K, Shivalli, S, Shivarov, V, Shobeiri, P, Shokri Varniab, Z, Shorofi, S, Shrestha, S, Sibhat, M, Siddappa Malleshappa, S, Sidemo, N, Silva, D, Silva, L, Silva Julian, G, Silvestris, N, Simegn, W, Singh, A, Singh, G, Singh, H, Singh, J, Singh, P, Singh, S, Sinha, D, Sinke, A, Siraj, M, Sitas, F, Siwal, S, Skryabin, V, Skryabina, A, Socea, B, Soeberg, M, Sofi-Mahmudi, A, Solomon, Y, Soltani-Zangbar, M, Song, S, Song, Y, Sorensen, R, Soshnikov, S, Sotoudeh, H, Sowe, A, Sufiyan, M, Suk, R, Suleman, M, Suliankatchi Abdulkader, R, Sultana, S, Sur, D, Szocska, M, Tabaeian, S, Tabares-Seisdedos, R, Tabatabaei, S, Tabuchi, T, Tadbiri, H, Taheri, E, Taheri, M, Taheri Soodejani, M, Takahashi, K, Talaat, I, Tampa, M, Tan, K, Tat, N, Tat, V, Tavakoli, A, Tehrani-Banihashemi, A, Tekalegn, Y, Tesfay, F, Thapar, R, Thavamani, A, Thoguluva Chandrasekar, V, Thomas, N, Ticoalu, J, Tiyuri, A, Tollosa, D, Topor-Madry, R, Touvier, M, Tovani-Palone, M, Traini, E, Tran, M, Tripathy, J, Ukke, G, Ullah, I, Ullah, S, Unnikrishnan, B, Vacante, M, Vaezi, M, Valadan Tahbaz, S, Valdez, P, Vardavas, C, Varthya, S, Vaziri, S, Velazquez, D, Veroux, M, Villeneuve, P, Violante, F, Vladimirov, S, Vlassov, V, Vo, B, Vu, L, Wadood, A, Waheed, Y, Walde, M, Wamai, R, Wang, C, Wang, F, Wang, N, Wang, Y, Ward, P, Waris, A, Westerman, R, Wickramasinghe, N, Woldemariam, M, Woldu, B, Xiao, H, Xu, S, Xu, X, Yadav, L, Yahyazadeh Jabbari, S, Yang, L, Yazdanpanah, F, Yeshaw, Y, Yismaw, Y, Yonemoto, N, Younis, M, Yousefi, Z, Yousefian, F, Yu, C, Yu, Y, Yunusa, I, Zahir, M, Zaki, N, Zaman, B, Zangiabadian, M, Zare, F, Zare, I, Zareshahrabadi, Z, Zarrintan, A, Zastrozhin, M, Zeineddine, M, Zhang, D, Zhang, J, Zhang, Y, Zhang, Z, Zhou, L, Zodpey, S, Zoladl, M, Vos, T, Hay, S, Force, L, Murray, C, Epidemiologie, RS: NUTRIM - R3 - Respiratory & Age-related Health, Bill & Melinda Gates Foundation, Kuwait University (Kuwait), Ministry of Higher Education (Malasia), Lega Italiana per la Lotta ai Tumori, Health Effects Institute (Estados Unidos), Unión Europea. Comisión Europea. European Research Council (ERC), Unión Europea. Comisión Europea. H2020, Fundação para a Ciência e Tecnologia (Portugal), African-German Network of Excellence in Science (AGNES), Federal Ministry of Education & Research (Alemania), Alexander von Humboldt Foundation, Novo Nordisk Foundation, National Institute for Health Research (Reino Unido), National Health and Medical Research Council (Australia), Romanian National Authority for Scientific Research and Innovation, Romanian Ministry of Research Innovation and Digitalization, Ministry of Education, Science and Technological Development (Serbia), Sigrid Jusélius Foundation, Finnish Cancer Foundation, Datta Meghe Institute of Medical Sciences (India), Xiamen University (Malasia), Manipal Academy of Higher Education (India), Panjab University (India), Sistema Nacional de Investigación (Panamá), Secretaría Nacional de Ciencia, Tecnología e Innovación (Panamá), Ministry of Science and Technology (Taiwan), Lung Foundation Australia, National Natural Science Foundation of China, Wellcome Trust, UNSW Sydney (Australia), ICMR - National Institute of Epidemiology (India), University of Tasmania (Australia), National Council for Scientific and Technological Development (Brasil), Coordenação de Aperfeicoamento de Pessoal de Nível Superior (Brasil), Institute for Advanced Studies in Basic Sciences (Irán), Ain Shams University (Egipto), International Center of Medical Sciences Research (Islamabad), National Institutes of Health (Estados Unidos), University of Oxford (Reino Unido), National Institute of Genetic Engineering and Biotechnology (Irán), Marga und Walter Boll - Stiftung, Ministero della Salute (Italia), IRCCS Materno Infantile Burlo Garofolo (Italia), King College London, Wellcome Trust/DBT India Alliance (India), Public Health, University of St Andrews. School of Medicine, and University of St Andrews. Population and Behavioural Science Division
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Male ,DEATHS ,DALY, cancer, risk factors ,Medizin ,systematic analysis ,Global Health ,Risk Assessment ,Cancer prevention ,Global Burden of Disease ,RC0254 ,Risk-attributable cancer deaths ,SDG 3 - Good Health and Well-being ,RA0421 ,Risk Factors ,RA0421 Public health. Hygiene. Preventive Medicine ,Quality-Adjusted Life Year ,Neoplasms ,cancer ,Humans ,Global Burden of Disease Study ,UK ,Medicine(all) ,MCC ,RC0254 Neoplasms. Tumors. Oncology (including Cancer) ,Risk Factor ,Smoking ,COVID-19 ,3rd-DAS ,General Medicine ,Disability-adjusted life-years ,SOCIAL DETERMINANTS ,Risk assessments ,risk factor ,Cardiovascular and Metabolic Diseases ,3121 General medicine, internal medicine and other clinical medicine ,OBESITY ,Cancer burden ,Neoplasm ,Female ,LIFE-STYLE ,Quality-Adjusted Life Years ,HEALTH ,RA ,Human ,RC - Abstract
Background: Understanding the magnitude of cancer burden attributable to potentially modifiable risk factors is crucial for development of effective prevention and mitigation strategies. We analysed results from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 to inform cancer control planning efforts globally. Methods: The GBD 2019 comparative risk assessment framework was used to estimate cancer burden attributable to behavioural, environmental and occupational, and metabolic risk factors. A total of 82 risk-outcome pairs were included on the basis of the World Cancer Research Fund criteria. Estimated cancer deaths and disability-adjusted life-years (DALYs) in 2019 and change in these measures between 2010 and 2019 are presented. Findings: Globally, in 2019, the risk factors included in this analysis accounted for 4·45 million (95% uncertainty interval 4·01-4·94) deaths and 105 million (95·0-116) DALYs for both sexes combined, representing 44·4% (41·3-48·4) of all cancer deaths and 42·0% (39·1-45·6) of all DALYs. There were 2·88 million (2·60-3·18) risk-attributable cancer deaths in males (50·6% [47·8-54·1] of all male cancer deaths) and 1·58 million (1·36-1·84) risk-attributable cancer deaths in females (36·3% [32·5-41·3] of all female cancer deaths). The leading risk factors at the most detailed level globally for risk-attributable cancer deaths and DALYs in 2019 for both sexes combined were smoking, followed by alcohol use and high BMI. Risk-attributable cancer burden varied by world region and Socio-demographic Index (SDI), with smoking, unsafe sex, and alcohol use being the three leading risk factors for risk-attributable cancer DALYs in low SDI locations in 2019, whereas DALYs in high SDI locations mirrored the top three global risk factor rankings. From 2010 to 2019, global risk-attributable cancer deaths increased by 20·4% (12·6-28·4) and DALYs by 16·8% (8·8-25·0), with the greatest percentage increase in metabolic risks (34·7% [27·9-42·8] and 33·3% [25·8-42·0]). Interpretation: The leading risk factors contributing to global cancer burden in 2019 were behavioural, whereas metabolic risk factors saw the largest increases between 2010 and 2019. Reducing exposure to these modifiable risk factors would decrease cancer mortality and DALY rates worldwide, and policies should be tailored appropriately to local cancer risk factor burden. We are grateful to the surveillance systems, including cancer registries, that generated and shared observed cancer burden data. S M Aljunid acknowledges the Department of Health Policy and Management, College of Public Health, Kuwait University for the approval and support to participate in this research project. H Ariffin acknowledges support from the Ministry of Higher Education, Malaysia (grant FRGS/1/2021/SKK0/UM/01/1). F Barra acknowledges support from Lega Italiana per la Lotta contro i Tumori - LILT - Bando 5 x 1000 anno 2019. L Belo and M Carvalho acknowledge the support from FCT in the scope of the project UIDP/04378/2020 and UIDB/04378/2020 of UCIBIO and the project LA/P/0140/2020 of i4HB. A J Cohen was supported by the Health Effects Institute, Boston, MA, USA. J Conde acknowledges financial support from the European Research Council - ERC Starting Grant 848325. V M Costa acknowledges her grant (SFRH/BHD/110001/2015), received by Portuguese national funds through Fundação para a Ciência e Tecnologia (FCT), IP, under the Norma Transitória DL57/2016/CP1334/CT0006. T C Ekundayo was supported by the African-German Network of Excellence in Science (AGNES), the Federal Ministry of Education and Research (BMBF) and the Alexander von Humboldt Foundation (AvH). N Ghith acknowledges support from a grant from Novo Nordisk Foundation (NNF16OC0021856). J C Glasbey is support by a Doctoral Research Fellowship from the National Institute of Health Research (NIHR300175). V K Gupta and V B Gupta acknowledge funding support from National Health and Medical Research Council (NHMRC), Australia. C Herteliu, A Pana, and M Ausloos acknowledge partial support by a grant of the Romanian National Authority for Scientific Research and Innovation, CNDS-UEFISCDI, project number PN-III-P4-ID-PCCF-2016-0084. C Herteliu is also partially supported by a grant of the Romanian Ministry of Research Innovation and Digitalization, MCID, project number ID-585-CTR-42-PFE-2021. S Hussain was supported from Operational Programme Research, Development and Education–Project, Postdoc2MUNI (number CZ.02.2. 69/0.0/0.0/18_053/0016952). M Jakovljevic acknowledges partial support through the grant OI 175 014 of the Ministry of Education Science and Technological Development of the Republic of Serbia. J H Kauppila acknowledges research grants from Sigrid Jusélius Foundation and the Finnish Cancer Foundation. M N Khatib acknowledges support from Datta Meghe Institute of Medical Sciences (deemed-to-be-university). Y J Kim was supported by the Research Management Centre, Xiamen University Malaysia [XMUMRF/2020-C6/ITCM/0004]. S L Koulmane Laxminarayana acknowledges institutional assistance by Manipal Academy of Higher Education, Manipal. K Krishan is supported by the UGC Centre of Advanced Study (Phase II), awarded to the Department of Anthropology, Panjab University, Chandigarh, India. I Landires is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). M-C Li was supported by the Ministry of Science and Technology, Taiwan (MOST 110-2314-B-003-001). G Liu acknowledges support from the CREATE Hope scientific fellowship from Lung Foundation Australia. J Liu acknowledges support from the National Natural Science Foundation (72122001). J A Loureiro was supported by Scientific Employment Stimulus (FCT; CEECINST/00049/2018). E Mathews is supported by a Clinical and Public Health Early Career Fellowship (grant number IA/CPHE/17/1/503345) from the DBT India Alliance/Wellcome Trust Department of Biotechnology, India Alliance (2018–2023). T J Meretoja was supported by an unrestricted grant from Cancer Foundation Finland sr. S Mohammed acknowledges a fellowship grant from Alexander von Humboldt Foundation, outside the submitted work. M Molokhia is supported by the National Institute for Health Research Biomedical Research Center at Guy’s and St Thomas’ National Health Service Foundation Trust and King’s College London. L Monasta received support from the Italian Ministry of Health at the Institute for Maternal and Child Health IRCCS Burlo Garofolo, Trieste - Italy (RC 34/2017). U Mons is supported by the Marga and Walter Boll Foundation, Kerpen, Germany. M A Moosavi acknowledges the financial support of National Institute of Genetics Engineering and Biotechnology (NIGEB). J Musa acknowledges support from the NIH/FICK43TW011416 for research-protected time for cervical cancer research and career development at University of Jos. V Nuñez-Samudio is a member of the Sistema Nacional de Investigación (SNI), which is supported by Panama’s Secretaría Nacional de Ciencia, Tecnología e Innovación (SENACYT). O O Odukoya acknowledges support by the Fogarty International Center of the National Institutes of Health under the award number K43TW010704 for research-protected time. The content is solely the responsibility of all the authors and does not necessarily represent the official views of the National Institutes of Health. A S Oguntade acknowledges funding by a doctoral scholarship from the Nuffield Department of Population Health, University of Oxford (Oxford Population Health). J R Padubidri acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for their constant support in research collaborations. R G Pestell acknowledges support from NIH grant W81XWH1810605 Breast Cancer Research, Breakthrough Grant R21 CA235139-01. Z Z Piracha acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad (44000), Pakistan. R A Radhakrishnan acknowledges support from Wellcome Trust/DBT India Alliance - IA/CPHI/18/1/503927. U Saeed acknowledges the International Center of Medical Sciences Research (ICMSR), Islamabad, Pakistan. A M Samy acknowledges the support from Ain Shams University and the Egyptian Fulbright Mission Program. F Sha was supported by the Shenzhen Science and Technology Program (grant number KQTD20190929172835662). H R Shahsavari acknowledges the Institute for Advanced Studies in Basic Sciences (IASBS) Research Council. A Shetty acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal for all the academic support. D A S Silva acknowledges financing in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brazil (CAPES)—Finance Code 001 and D A S Silva is supported in part by CNPq-Brazil (309589/2021-5). L M L R Silva was supported by project CENTRO-04-3559-FSE-000162, Fundo Social Europeu (FSE). Am Singh is supported by the International Graduate Research Scholarship, University of Tasmania. R Suliankatchi Abdulkader acknowledges support from ICMR—National Institute of Epidemiology. B Unnikrishnan acknowledges Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal. H Xiao acknowledges support from the Public Health Sciences Division of the Fred Hutchinson Cancer Research Center. X Xu is supported by the University of New South Wales (Australia) Scientia Program. C Yu was supported by the National Natural Science Foundation of China (grant number 82173626) and Wuhan Medical Research Program of Joint Fund of Hubei Health Committee (grant number WJ2019H304). Sí
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- 2022
17. Video Narrative of Upfront Above-knee Amputation for Fillet Flap Transfer in a Single Case of External Hemipelvectomy.
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Ellen Garbuzov A, Katira K, Harvey D, Pourtaheri N, and Soltanian H
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Competing Interests: The authors have no financial interest to declare in relation to the content of the article.Disclosure statements are at the end of this article, following the correspondence information.
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- 2023
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18. Fat grafting in patients with cleft lip and palate: A systematic review.
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Haas Junior OL, Rosa BM, Pourtaheri N, Guijarro-Martínez R, Valls-Ontañón A, Hernández-Alfaro F, de Oliveira RB, and Steinbacher DM
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- Humans, Esthetics, Dental, Adipose Tissue, Retrospective Studies, Cleft Lip surgery, Cleft Palate surgery
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This systematic review aims to compare different fat-grafting techniques for cleft lip and palate repair. A search was conducted in PubMed, Embase, Cochrane Library, gray literature and reference lists of selected articles. A total of 25 articles were included, 12 on closure of palatal fistula and 13 on cleft lip repair. The rate of complete resolution of palatal fistula ranged from 88.6% to 100% in studies with no control group, whereas in comparative studies patients receiving a fat graft showed better outcomes than those not receiving a graft. Evidence suggests that fat grafting can be indicated for the primary and secondary repair of cleft palate, with good results. The use of dermis-fat grafts in lip repair was associated with gains in surface area (11.5%), vertical height (18.5%-27.11%), and lip projection (20%). Fat infiltration was associated with increased lip volume (6.5%), vermilion show (31.68% ± 24.03%), and lip projection (46.71% ± 31.3%). The available literature suggests that fat grafting is a promising autogenous option for palate and fistula repair and for improvement of lip projection and scar aesthetics in patients with cleft. However, to develop a guideline, further studies are needed to confirm whether one technique is superior to the other., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 European Association for Cranio-Maxillo-Facial Surgery. Published by Elsevier Ltd. All rights reserved.)
- Published
- 2023
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19. Race-Based Differences in the Utilization and Timing of Secondary Cleft Procedures in the United States.
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Peck CJ, Pourtaheri N, Parsaei Y, Gowda AU, Yang J, Lopez J, and Steinbacher DM
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- Bone Transplantation, Child, Cohort Studies, Delivery of Health Care, Humans, Racial Groups, Retrospective Studies, Surgical Flaps, United States, Alveolar Bone Grafting methods, Alveoloplasty methods, Cleft Lip surgery, Cleft Palate diagnosis, Healthcare Disparities, Rhinoplasty
- Abstract
Primary CL/P repair, revisions, and secondary procedures-cleft rhinoplasty, speech surgery, and alveolar bone grafting (ABG)-performed from 2014-2018 were identified from the Pediatric National Surgical Quality Improvement Program (NSQIP) database. Utilization estimates were derived via univariable and multivariable logistic regression. A Kruskal-Wallis rank-sum test and multivariable linear regression were used to assess differences in timing for each procedure cohort., The primary outcome measures were the odds of a patient being a certain race/ethnicity, and the age at which patients of different race/ethnicity receive surgery., There were 23 780 procedures analyzed. After controlling for sex, diagnosis, and functional status, there were significant differences in utilization estimates across procedure groups. Primarily, utilization was lowest in patient who were Black for cleft rhinoplasty (OR = 0.70, P = .023), ABG (OR = 0.44, P < .001) and speech surgery (OR = 0.57, P = .012), and highest in patients who were Asian patients in all surgery cohorts (OR 2.05-4.43). Timing of surgery also varied by race, although differences were minimal., Conclusions: Estimates of utilization and timing of secondary cleft procedures varied by race, particularly among patients who were Black (poor utilization) or Asian (high utilization). Further studies should identify the causes and implications of underutilized and/or delayed cleft care.
- Published
- 2022
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20. Clinical Practice Trends and Postoperative Outcomes in Primary Cleft Rhinoplasty.
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Jazayeri HE, Lopez J, Pourtaheri N, Lee KC, Peck CJ, Best DL, Yu JW, Gosain AK, Peacock ZS, Edwards SP, and Steinbacher DM
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- Child, Humans, Infant, Nose abnormalities, Retrospective Studies, Treatment Outcome, Cleft Lip surgery, Nose Diseases surgery, Rhinoplasty methods
- Abstract
Purpose: Optimal correction of the cleft nasal deformity remains challenging. The purpose of this study was to examine the practice patterns and postoperative course of patients undergoing cleft lip repair with rhinoplasty compared to those who have primary lip repair without rhinoplasty., Methods and Materials: A retrospective cohort study was conducted based on the Kids' Inpatient Database. Data were collected from January 2000 to December 2011 and included infants aged 12 months and younger who underwent cleft lip repair. The predictor variable was the addition of rhinoplasty at primary cleft lip repair. Primary outcome variables included hospital setting, year, and admission cost, while secondary outcome variables included length of stay and postoperative complication rate. Independent t -tests and chi-squared tests were performed. Continuous variables were analyzed by multiple linear regression models., Results: The study sample included 4559 infants with 1422 (31.2%) who underwent primary cleft rhinoplasty. Over time, there was a significant increase in the proportion of cleft lip repairs accompanied by a rhinoplasty ( p < .01). A greater proportion of patients with unilateral cleft lips received simultaneous rhinoplasty with their lip repairs (33.8 vs 26.0% , p < .01). This cohort had a significantly shorter length of stay (1.6 vs 2.8 days , p < .01) when compared to children that underwent cleft lip repair alone., Conclusions: Performing primary cleft rhinoplasty is becoming more common among cleft surgeons. Considering comparable costs and complication rates, a rhinoplasty should be considered during the surgical treatment planning of patients with cleft nasal deformities.
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- 2022
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21. Outcomes in Pediatric Maxillofacial Reconstruction With Vascularized Fibular Flaps: A Systematic Review.
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Cho AM, Lopez J, Teven CM, Pourtaheri N, Do NTK, Jazayeri HE, Steinbacher DM, Blackwell KE, Ozaki W, and Yu JW
- Subjects
- Bone Transplantation methods, Child, Fibula, Humans, Retrospective Studies, Free Tissue Flaps, Plastic Surgery Procedures methods
- Abstract
Background: The purpose of this study was to examine the complications and outcomes after maxillofacial reconstruction using the free fibular flap in the pediatric population., Methods: A systematic review and descriptive analysis were conducted using data variables, including study characteristics; patient characteristics; postoperative complications (major and minor); surgical revision; and dental rehabilitation., Results: The systematic review resulted in 1622 articles, 55 of which met inclusion criteria for this study. The 55 articles consisted of 17 case series and 38 case reports with level III/IV and level V of evidence, respectively. Of the 155 identified pediatric patients, the rate of major complications was 13.5% and minor complications was 24.5%. The most common complication was mild growth distortion (n = 7) at the recipient site. Complications at the donor site were less common. During follow-up, 29 patients (18.7%) underwent or awaited surgical revision, and 43 patients (27.7%) underwent or awaited dental rehabilitation., Conclusions: Our study suggests that the free fibular flap for pediatric maxillofacial reconstruction is safe and reliable. Additionally, surgical revision to correct the functional impairments resulting from primary reconstruction using the free fibular flap is relatively common., Competing Interests: The authors have no commercial associations or financial disclosures that might pose or create or create a conflict of interest with information presented in this manuscript. No funding was received for the work presented in this manuscript. The authors report no conflicts of interest., (Copyright © 2022 by Mutaz B. Habal, MD.)
- Published
- 2022
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22. Perceived Age and Personality Profiling after Orthognathic Surgery.
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Pourtaheri N, Peck CJ, Gowda A, Parsaei Y, Allam O, Patel VK, Park E, Yu J, Lopez J, and Steinbacher DM
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- Face, Facial Bones, Humans, Personality, Orthognathic Surgery, Orthognathic Surgical Procedures
- Abstract
Background: Recent studies suggest that orthognathic surgery can improve facial age and personality profiling. The authors expand on these findings by assessing the role of patient facial profile and sociodemographics on perceived changes following surgery., Methods: Preoperative and postoperative images of 65 patients operated on by a single surgeon were randomly assorted and rated by 30 respondents. Patient facial profiles were categorized as convex, concave, or straight. Paired and unpaired t tests were used to assess differences preoperatively and postoperatively. Multivariate regression and post hoc receiver operating characteristic curve analyses were used to quantify the influence of various patient factors., Results: Significant decreases in perceived age were seen following orthognathic surgery overall (-1.31 years; p < 0.01) and in the straight (-1.10 years; p = 0.02) and convex (-1.80 years; p ≤ 0.01) subgroups. After controlling for patient sociodemographics, there were no significant differences in age change based on facial profile. Older age at the time of surgery was independently associated with greater perceived age changes ( p = 0.04); older patients (>26.5 years, determined by receiver operating characteristic curve) experienced greater net decreases in perceived age in comparison to younger patients (-2.0 years versus -1.2 years; p < 0.01). Improvements were seen in overall attractiveness ( p < 0.01) and in each tested personality characteristic following surgery ( p < 0.01). These differences were not significantly associated with different patient sociodemographics or facial profile., Conclusions: The authors' data add to the growing base of evidence that orthognathic surgery improves patient-perceived age and personality. Significant decreases in perceived age are more likely to be gained by patients undergoing surgery at an older age., Clinical Question/level of Evidence: Risk, II., (Copyright © 2022 by the American Society of Plastic Surgeons.)
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- 2022
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23. Perceived Age and Attractiveness Using Facial Recognition Software in Rhinoplasty Patients: A Proof-of-Concept Study.
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Khetpal S, Peck C, Parsaei Y, Duan K, Gowda AU, Pourtaheri N, Lopez J, and Steinbacher D
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- Adult, Artificial Intelligence, Beauty, Esthetics, Dental, Humans, Proof of Concept Study, Retrospective Studies, Software, Facial Recognition, Rhinoplasty
- Abstract
Abstract: Artificial intelligence (Al)-based analyses may serve as a more objective tool for measuring cosmetic improvements following aesthetic plastic surgery. This preliminary proof-of-concept study utilized a novel commercial facial recognition software to assess perceived changes in age and attractiveness among patients receiving rhinoplasty.This study was a retrospective evaluation of three-dimensional photographs of patients who underwent rhinoplasty by the senior author (DS). Both pre- and post-operative (> 12-month follow-up) Vectra three-dimensional images (Canfield Scientific, Parsippany, NJ) were assessed using Haystack AI Software (Haystack AI, New York, NY). Facial attractiveness (score 1-10) and apparent age were predicted. A retrospective chart review of demographic variables was additionally performed. Paired t tests were used to compare age and attractiveness scores before and after surgery. Multivariate linear regression was performed to identify factors associated with age and attractiveness scores.One hundred twenty-four patients receiving rhinoplasty met the study criteria (average age: 35.58). Overall, rhinoplasty was associated with increases in Al-rated attractiveness (+0.28, P = 0.03) and decreases in perceived age relative to the patient's true age (-1.03 years, P = 0.03). Greater decreases in postoperative perceived age were achieved in patients who appeared older than their actual age preoperatively ( P < 0.001).Facial recognition software was successfully used to evaluate improvements in perceived age and attractiveness in patients undergoing aesthetic rhinoplasty. Patients were perceived by the software as younger and more attractive following rhinoplasty. Age reversal was greatest among patients who appeared much older than their actual age at the time of surgery.Level of Evidence: IV., Competing Interests: The authors report no conflicts of interest., (Copyright © 2022 by Mutaz B. Habal, MD.)
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- 2022
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24. Trends in industry-sponsored research in plastic surgery since implementation of the Sunshine Act.
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Khetpal S, Le NK, Ahmad M, Parikh J, Pathak N, Pourtaheri N, Lopez J, and Alperovich M
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- Conflict of Interest, Databases, Factual, Humans, Industry, United States, Surgeons, Surgery, Plastic
- Abstract
Financial contributions from industry for physician-led research have been historically challenging to study in plastic surgery. However, as mandated by the Physician Payments Sunshine Act of 2013, the Open Payments Database (OPD) has increased transparency in payments from industry to physicians. This study aimed to analyze trends in industry-sponsored research funding for plastic surgeons. Using the OPD, research payments from industry made to plastic surgeons from 2014 to 2018 were examined. Total payments and number of payments were recorded by recipient's census region (e.g., Northeast, Midwest, South, West) and therapeutic area (e.g., breast prosthetics/reconstruction, wound healing/tissue engineering, software/instrumentation, biologics, cosmetics/injectables). Payments totaled across 5 years in each therapeutic area for each region were also analyzed. Location of company U.S. headquarters and therapeutic area were recorded. Statistical analyses were performed using SAS 9.4. Brown-Mood test, t test, Kruskal-Wallis, Mann-Whitney, and linear regression tests were used. Aggregated over 5 years, the greatest payment value was allocated to wound healing/tissue engineering, whereas the number of payments was highest in breast prosthetics/reconstruction. Private plastic surgeons receive significantly higher payments compared to academic plastic surgeons. With such findings, greater transparency and additional years of OPD data may provide further insight into industry influence on physician-led research in plastic surgery., (Copyright © 2022 Elsevier Ltd. All rights reserved.)
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- 2022
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25. Mandibular Distraction Osteogenesis in Robin Sequence Using Three-Dimensional Analysis and Planning.
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Pourtaheri N, Maniskas S, Chandler L, and Steinbacher DM
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- Humans, Infant, Infant, Newborn, Mandible surgery, Treatment Outcome, Airway Obstruction etiology, Airway Obstruction surgery, Micrognathism surgery, Osteogenesis, Distraction methods, Pierre Robin Syndrome complications, Pierre Robin Syndrome surgery
- Abstract
Summary: The optimal management of patients with Robin sequence may include neonatal mandibular distraction osteogenesis, which has been used to achieve excellent functional and aesthetic outcomes in appropriate patients. This article and video vignette depict the treatment of micrognathia and airway obstruction secondary to Robin sequence, demonstrating the planning and surgical approach of the senior author (D.M.S.) using mandibular distraction osteogenesis., (Copyright © 2022 by the American Society of Plastic Surgeons.)
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- 2022
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26. Commercial Artificial Intelligence Software as a Tool for Assessing Facial Attractiveness: A Proof-of-Concept Study in an Orthognathic Surgery Cohort.
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Peck CJ, Patel VK, Parsaei Y, Pourtaheri N, Allam O, Lopez J, and Steinbacher D
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- Artificial Intelligence, Face surgery, Humans, Software, Orthognathic Surgery, Orthognathic Surgical Procedures
- Published
- 2022
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27. A Comprehensive Single-Center Analysis of Postoperative Nausea and Vomiting Following Orthognathic Surgery.
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Pourtaheri N, Peck CJ, Maniskas S, Park KE, Allam O, Chandler L, Smetona J, Yang J, Wilson A, Dinis J, Lopez J, and Steinbacher DM
- Subjects
- Adult, Analgesics, Opioid therapeutic use, Female, Humans, Morphine, Postoperative Nausea and Vomiting epidemiology, Postoperative Nausea and Vomiting prevention & control, Retrospective Studies, Vomiting, Young Adult, Antiemetics therapeutic use, Orthognathic Surgery
- Abstract
Background: Postoperative nausea and vomiting (PONV) remains a major clinical end-point for directing enhanced recovery after surgery (ERAS) protocols in facial plastic surgery. This study aimed to identify risk factors for PONV and evaluate strategies for PONV reduction in orthognathic surgery patients., Methods: A retrospective cohort study was performed among patients receiving orthognathic surgery at our institution from 2011 to 2018. Patient demographics, surgical operative and anesthesia notes, medications, and nausea/vomiting were assessed for each patient. The amount of opioid analgesia given both perioperatively and postoperatively was recorded and converted into morphine equivalents (MEQ). Stepwise regression analysis was used to identify significant risk factors for PONV. Post hoc analyses were employed to compare PONV among patients based on MEQ dosage and antiemetic prophylaxis regimes., Results: A total of 492 patients were included; mean age was 23.0 years (range: 13-60); 54.4% were female. The majority of patients received concurrent Le Fort I osteotomy, BSSO, and genioplasty (70.1%). During hospitalization, 59.4% of patients experienced nausea requiring antiemetic medications and 28.4% experienced emesis. Stepwise regression yielded Apfel scores (P = 0.003) and postoperative opioids (P = 0.013) as the strongest predictors of PONV. Post hoc analyses showed that undertreatment with prophylactic antiemetics (based on Apfel) predicted increased PONV (+12.9%, P = 0.020), and that lower postoperative MEQs (<28.0) predicted decreased PONV (-11.8%, P = 0.01)., Conclusions: The study findings confirm the high incidence of PONV among orthognathic surgical patients and stratify previously reported PONV risk factors. More aggressive utilization of antiemetic medications and decreased dependence on opioid analgesia may decrease nausea/vomiting following orthognathic surgery., Competing Interests: The authors report no conflicts of interest., (Copyright © 2021 by Mutaz B. Habal, MD.)
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- 2022
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28. Venture Capital Investments in Plastic Surgery: An 8-Year Analysis.
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Khetpal S, Pourtaheri N, Lopez J, and Alperovich M
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- Capital Financing history, Capital Financing statistics & numerical data, Health Care Sector history, Health Care Sector statistics & numerical data, Health Care Sector trends, History, 21st Century, Retrospective Studies, Surgery, Plastic history, Surgery, Plastic statistics & numerical data, Surgery, Plastic trends, United States, Capital Financing trends, Health Care Sector economics, Surgery, Plastic economics
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- 2022
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29. Does Initial Cleft Lip Width Predict Final Aesthetic Outcome?
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Yang JF, Smetona J, Lopez J, Peck C, Pourtaheri N, and Steinbacher DM
- Abstract
A natural aesthetic appearance of the lip and a favorable scar are essential goals of cleft lip repair. Wider clefts intuitively pose a greater technical challenge; however, the relationship between initial width and aesthetic outcome remains controversial. The current study aimed to determine whether lip adhesion can help wider clefts achieve safe, consistent aesthetic outcomes., Methods: A retrospective cohort study was conducted on unilateral cleft lip patients who underwent lip repair within a 2-year period by the senior author. Subjects were divided into three groups based on cleft severity: (1) wide complete clefts that required lip adhesion before definitive repair, (2) narrower complete clefts that did not require lip adhesion, and (3) incomplete clefts. Aesthetic outcomes related to the vermillion and upper lip scar were rated by 48 blinded observers. Statistical analysis was performed using Kruskal-Wallis and Mann-Whitney tests. Nasal outcomes were not assessed., Results: Seventeen patients were included in the study: five in group 1, six in group 2, and six in group 3. Patients with the widest clefts did not have inferior results compared with the other groups. In fact, they had statistically significantly higher aesthetic scores in all scar-related outcomes compared with those in groups 2 and 3 ( P < 0.0001)., Conclusions: This study suggests that a wide cleft does not necessarily foreshadow a poor surgical outcome. In fact, wide clefts may have pleasing results, and the use of a staged lip adhesion approach can be useful for achieving the desired outcome in wider clefts., (Copyright © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The American Society of Plastic Surgeons.)
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- 2021
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30. The Open Payments Sunshine Act Database Revisited: A 5-Year Analysis of Industry Payments to Plastic Surgeons.
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Khetpal S, Mets EJ, Ahmad M, Pathak N, Pourtaheri N, Lopez J, Persing J, and Alperovich M
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- Health Care Sector statistics & numerical data, Humans, Surgeons ethics, Surgeons statistics & numerical data, Surgery, Plastic ethics, Surgery, Plastic statistics & numerical data, United States, Conflict of Interest economics, Databases, Factual statistics & numerical data, Health Care Sector economics, Surgeons economics, Surgery, Plastic economics
- Published
- 2021
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31. Decreasing Inpatient Opioid Use Following Orthognathic Surgery.
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Phillips SJ, Peck CJ, Pourtaheri N, Reategui A, Carney M, Dinis J, Park KE, Maniskas S, Lopez J, and Steinbacher DM
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- Humans, Inpatients, Pain, Postoperative drug therapy, Pain, Postoperative prevention & control, Retrospective Studies, Analgesics, Opioid therapeutic use, Orthognathic Surgery
- Abstract
Purpose: Strategies to decrease postoperative opioid use are important for mitigating the immediate and long-term risks associated with their use. We aimed to investigate the impact of perioperative various factors on inpatient opioid needs for patients undergoing orthognathic surgery., Methods: This was a retrospective cohort study of all patients who underwent orthognathic surgery performed by the senior author from 2012 to 2018. Patients were grouped into intravenous (IV) acetaminophen and no-IV acetaminophen cohorts. Opioid medications received by patients during hospital stay were converted to mean morphine equivalents (MME) for comparison. Additional factors that influenced opioid consumption, such as transexamic acid (TXA) and postoperative nausea and vomiting (PONV), were identified using univariate analysis. Factors found to have statistical significance were added to a multivariate linear regression model., Results: 319 patients were included. Those who received IV acetaminophen had lower rates of total opioid use (57.3 versus 74.8 MME; P = 0.002) and postoperative opioid use (24.0 versus 37.7 MME; P < 0.001). Perioperative prothrombotic agents, such as TXA, were associated with lower total and postoperative MME (P = 0.005, P = 0.002). Multivariate regression analysis showed that increased PONV resulted in increased postoperative opioid use, whereas perioperative acetaminophen lowered total and postoperative quantities., Conclusions: Perioperative IV acetaminophen is an effective method for decreasing inpatient opioid analgesia after orthognathic surgery. Intravenous TXA and PONV control may provide additional benefit to decreasing inpatient opioid consumption. More research as to the mechanisms and ideal clinical applications for both IV acetaminophen and TXA are warranted., Competing Interests: The authors report no conflicts of interest., (Copyright © 2021 by Mutaz B. Habal, MD.)
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- 2021
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32. Crushed Cartilage and Autologous Fat for Dorsal Nasal Refinement.
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Gowda AU, Pourtaheri N, Park KE, Allam O, Maniskas S, Parsaei Y, and Steinbacher DM
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- Adult, Cartilage transplantation, Esthetics, Humans, Retrospective Studies, Treatment Outcome, Nose surgery, Rhinoplasty
- Abstract
Background: Dorsal contour irregularities remain a potential undesirable sequela of rhinoplasty. Use of dorsal onlay grafts can camouflage such irregularities. In this article, a novel technique for dorsal onlay grafting utilizing crushed cartilage mixed with autologous fat is described. This study aims to assess long-term graft retention and aesthetic outcomes with this technique., Methods: Patients with >18-month follow-up who underwent primary open rhinoplasty with the described technique were reviewed. Three-dimensional photographs taken at multiple timepoints were overlaid with volumetric subtraction used to quantify graft retention. The Rhinoplasty module of the FACE-Q was completed by each patient, and the Rhinoplasty Assessment Scale Photographic (RASP) was completed by surgeon reviewers. Pre- and postoperative changes in dorsal height as well as RASP scores were compared with paired t-tests. Changes in BMI, dorsal volume, and dorsal height were compared with linear regression. P values <0.05 were considered significant., Results: Fourteen patients were included, mean age 32. Mean intermediate and final follow-up was 17.8 months and 28.9 months, respectively. There were no statistically significant dorsal height change (mean = 0.0 mm, p = 0.91) and minimal dorsal volume change (mean = 0.02 cm
3 , range: 0.08 to 0.13). Patients reported a high degree of satisfaction with facial/nasal appearance and psychological/social functioning. There was a statistically significant improvement in RASP scores (p < 0.001) postoperatively., Conclusion: Crushed septal cartilage mixed with autologous fat is an effective option for dorsal nasal onlay in rhinoplasty and is associated with excellent graft retention, patient satisfaction, and nasal aesthetics., Level of Evidence Iv: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266., (© 2021. Springer Science+Business Media, LLC, part of Springer Nature and International Society of Aesthetic Plastic Surgery.)- Published
- 2021
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33. Spatial Analysis of the Temporomandibular Joint and Condyle Following Mandibular Distraction in Robin Sequence.
- Author
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Pourtaheri N, Chandler L, Singh A, Maniskas S, Wilson AT, Sun AH, and Steinbacher DM
- Subjects
- Child, Female, Humans, Infant, Male, Mandible, Mandibular Condyle diagnostic imaging, Mandibular Condyle surgery, Retrospective Studies, Spatial Analysis, Temporomandibular Joint, Treatment Outcome, Osteogenesis, Distraction, Pierre Robin Syndrome diagnostic imaging, Pierre Robin Syndrome surgery
- Abstract
Abstract: To comprehensively assess changes in temporomandibular joint and mandibular condyle morphology in Robin sequence (RS) patients undergoing mandibular distraction osteogenesis (MDO). A retrospective analysis of pediatric patients with RS and functional temporomandibular joints who underwent MDO by a single surgeon was performed. Preoperative and postoperative computed tomography (CT) scans were morphometrically analyzed three-dimensional in 3-matic and Mimics (Materialise). Comparative analysis was performed using Wilcoxon signed-rank tests. Fourteen RS patients were included (28 condyles, 56 CT scans), 78% male and 22% females. The mean age at surgery was 9.4 weeks (range 1.6-46.7 weeks). The average age at initial CT was 5.3 days (range 0-11 days). The mean time interval for CT scan before MDO and after hardware removal were 8.8 ± 6.4 days and 11.2 ± 25.8 days, respectively. Rotatory changes of the condyle revealed a significantly decreased horizontal angle following MDO (-7.55°, 95% confidence interval -11.13° to -3.41°; P < 0.001). Anteroposteriorly, the angle between condylar process and ramus (incline) increased significantly (14.14°, 95% confidence interval 10.71°-19.59°; P < 0.001). Intragroup analysis revealed no difference between left versus right condylar position measurements. The condyle itself increased in size and length and the intercondylion distance increased post-MDO. There were no complications and all patients achieved relief of airway obstruction without tracheostomy. Morphologic and positional changes of the mandibular condyle following MDO in RS patients parallel changes that occur during normal development in non-RS patients. As a result, MDO may facilitate normal condylar morphology and function in RS patients., Competing Interests: The authors report no conflicts of interest., (Copyright © 2021 by Mutaz B. Habal, MD.)
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- 2021
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34. Thresholds for Transverse Stimulation: Fiber Bundles in a Uniform Field.
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Pourtaheri N, Ying W, Kim J, and Henriquez C
- Abstract
Cable theory is used to model fibers (neural or muscular) subjected to an extracellular stimulus or activating function along the fiber (longitudinal stimulation). There are cases however, in which activation from fields across a fiber (transverse stimulation) is dominant and the activating function is insufficient to predict the relative stimulus thresholds for cells in a bundle. This work proposes a general method of quantifying transverse extracellular stimulation using ideal cases of long fibers oriented perpendicular to a uniform field (circular cells in a 2-D extracellular domain). Several methods are compared against a fully coupled model to compute electrical potentials around each cell of a bundle and predict the magnitude of applied plate potential (Öp) needed to activate a given cell (Öpact). The results show that with transverse stimulation, the effect of cell presence on the external field must be considered to accurately compute Öpact. They also show that approximating cells as holes can accurately predict firing order and Öpact of cells in bundles. Potential profiles from this hole model can also be applied to single cell models to account for time-dependent transmembrane voltage responses and more accurately predict Öpact. The approaches used herein apply to other examples of transverse cell stimulation where cable theory is inapplicable and coupled model simulation is too costly to compute.
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- 2021
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35. Orthognathic Surgery in Cleidocranial Dysplasia.
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Pourtaheri N, Allam O, Chandler L, and Steinbacher DM
- Subjects
- Adult, Bone Transplantation, Female, Humans, Maxilla, Osteotomy, Le Fort, Cleidocranial Dysplasia diagnostic imaging, Cleidocranial Dysplasia surgery, Orthognathic Surgery, Orthognathic Surgical Procedures
- Abstract
Abstract: Optimal surgical correction of the craniofacial manifestations of cleidocranial dysplasia (CCD) has not been established due to the rarity of the condition. A 27-year-old female with CCD is presented. She underwent virtual surgical planning (VSP) followed by LeFort-I disimpaction, bone grafting, bilateral sagittal-split osteotomy, genioplasty, submental lipectomy, and targeted facial fat grafting. The patient necessitated 15-mm of vertical maxillary disimpaction centrally, stabilized with wide maxillary plates and interpositional allogenic fibula grafts. Six-month postoperative examination demonstrated improved appearance and functional symptoms. Skeletal relationships were normalized on computed tomography (CT) and there was minimal change between immediate and 6-month postoperative CT measurements, demonstrating a stable result. Orthognathic surgery used to establish dentofacial harmony in patients with CCD can test the extremes of single-stage facial skeletal expansion. Use of VSP, wide maxillary plates, and interpositional bone grafts can help optimize maxillary expansion and stability, while concurrent fat redistribution optimizes facial aesthetics., Competing Interests: The authors report no conflicts of interest., (Copyright © 2020 by Mutaz B. Habal, MD.)
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- 2021
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36. Conformity of the Virtual Surgical Plan to the Actual Result Comparing Five Craniofacial Procedure Types.
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Maniskas S, Pourtaheri N, Chandler L, Lu X, Bruckman KC, and Steinbacher DM
- Subjects
- Adult, Female, Humans, Male, Patient Care Planning, Treatment Outcome, Mandible surgery, Mandibular Reconstruction, Orthognathic Surgical Procedures, Osteogenesis, Distraction, Skull surgery, Surgery, Computer-Assisted
- Abstract
Background: The "accuracy" of virtual surgical planning across multiple procedure types is not known. The authors aimed to compare the planned outcome from virtual surgical planning to the actual postoperative outcome for five craniofacial procedure types performed by a single surgeon: implant cranioplasty, cranial vault remodeling, orthognathic surgery, mandible reconstruction, and mandibular distraction., Methods: Stereolithography formats were obtained from virtual surgical planning and compared to postoperative computed tomographic scans for consecutive patients who underwent one of the five procedure types. Volumetric renderings of the operated bony region of interest were overlaid and compared using a Boolean operation to compute conformity (as a percentage of the region of interest). Conformity across procedure type was analyzed using analysis of variance and post hoc Bonferroni analysis, where appropriate., Results: One hundred thirty patients were included (51.5 percent male and 49.5 percent female; mean age, 27 years; 59 orthognathic surgery, 32 cranial vault remodeling, 16 mandible reconstruction, 12 mandibular distraction, and 11 implant cranioplasty patients). The highest tier of conformity was obtained for implant cranioplasty (median, 76.8 ± 10.3 percent) and mandible reconstruction (mean, 69.4 ± 11.2 percent), followed by orthognathic surgery (mean, 55.0 ± 7.3 percent) and mandibular distraction (median, 41.9 ± 20.3 percent), followed by cranial vault remodeling (mean, 22.2 ± 12.1 percent) (p < 0.001 between tiers and p > 0.05 among tiers)., Conclusions: Virtual surgical planning resulting in custom permanent implants and intraoperative guides provides more predictable results compared to virtual surgical planning used for procedures involving higher degrees of skeletal repositioning and postoperative movement (i.e., mandibular distraction and nonrigid cranial vault remodeling). In cases with expectedly lower conformity, excellent outcomes can be achieved with sound intraoperative judgment., (Copyright © 2021 by the American Society of Plastic Surgeons.)
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- 2021
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37. Racial Disparities in Complications, Length of Stay, and Costs Among Patients Receiving Orthognathic Surgery in the United States.
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Peck CJ, Pourtaheri N, Shultz BN, Parsaei Y, Yang J, Park KE, Allam O, and Steinbacher DM
- Subjects
- Adolescent, Child, Ethnicity, Healthcare Disparities, Hispanic or Latino, Humans, Length of Stay, United States, White People, Young Adult, Orthognathic Surgery
- Abstract
Introduction: Black and Hispanic/Latino patients in the United States often experience poorer health outcomes in comparison to White patients. We aimed to assess the impact of race on complications, length of stay, and costs after orthognathic surgery., Methods: Pediatric and young adult orthognathic surgeries (age <21) were isolated from the Kids Inpatient Database from 2000-2012. Procedures were grouped into cohorts based on the preoperative diagnosis: apnea, malocclusion, or congenital anomaly. T tests and χ
2 analyses were employed to compare complications, length of stay (LOS), and costs among Black, Hispanic, Asian/Pacific Islander, and other patients in comparison to White patients. Multivariable regression was performed to identify associations between sociodemographic variables and the primary outcomes. Post-hoc χ2 analyses were performed to compare proportions of patients of a given race/ethnicity across the 3 surgical cohorts., Results: There were 8,809 patients identified in the KID database (mean age of 16.3 years). Compared to White patients, complication rates were increased among Hispanic patients (2.1 vs 1.3%, P = .037) and other patients treated for apnea (8.7 vs 0.83%, P = .002). Hospital LOS was increased in both Black (3.3 vs 2.1 days, P < .001) and Hispanic (2.9 days, P < .001) patients. Costs were higher than Whites ($35,633.47) among Hispanic ($48,029.15, P < .001), Black ($47,034.41, P < .001), and Asian/Pacific-Islander ($44,192.49, P < .001) patients. White patients comprised a larger proportion of the malocclusion group (77.8%) than apnea (66.9%, P < .001) or congenital anomaly (59.1%, P < .001), while the opposite was true for Black, Hispanic, and Asian/Pacific-Islander patients., Conclusion: There are significant differences in complications, LOS, and costs after orthognathic surgery among patients of different race/ethnicity. Further studies are needed to better understand the causes of disparity and their clinical manifestations., (Copyright © 2020 American Association of Oral and Maxillofacial Surgeons. Published by Elsevier Inc. All rights reserved.)- Published
- 2021
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38. Three-Dimensional Analysis and Surgical Planning for Open Correction of Trigonocephaly.
- Author
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Maniskas S, Chandler L, Bruckman K, Pourtaheri N, DiLuna M, and Steinbacher DM
- Subjects
- Craniosynostoses diagnosis, Female, Forehead diagnostic imaging, Forehead surgery, Humans, Infant, Orbit diagnostic imaging, Orbit surgery, Surgical Flaps transplantation, Tomography, X-Ray Computed, Treatment Outcome, Craniosynostoses surgery, Imaging, Three-Dimensional, Patient Care Planning, Plastic Surgery Procedures methods
- Abstract
Summary: Metopic craniosynostosis results in trigonocephaly, characterized by a triangular forehead with metopic ridge, bitemporal pinching, and narrow-set eyes with recessed lateral orbital rims. Surgical management is controversial but may include open expansion and vault remodeling, to enhance neurocognitive and aesthetic outcomes. This article and video vignette depict the diagnosis and treatment of metopic craniosynostosis, demonstrating the senior author's open approach, three-dimensional virtual surgical planning, and technical steps., (Copyright © 2021 by the American Society of Plastic Surgeons.)
- Published
- 2021
- Full Text
- View/download PDF
39. Noninvasive Management of Pediatric Isolated, Condylar Fractures: Less Is More?
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Lopez J, Lake IV, Khavanin N, Kachniarz B, Najjar O, Pourtaheri N, Redett RJ, Manson PN, and Dorafshar AH
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- Adolescent, Age Factors, Child, Child, Preschool, Conservative Treatment adverse effects, Conservative Treatment methods, Conservative Treatment statistics & numerical data, Critical Pathways, Female, Humans, Jaw Fixation Techniques adverse effects, Male, Mandibular Condyle surgery, Open Fracture Reduction adverse effects, Open Fracture Reduction statistics & numerical data, Postoperative Complications etiology, Postoperative Complications prevention & control, Retrospective Studies, Risk Factors, Treatment Outcome, Jaw Fixation Techniques statistics & numerical data, Mandibular Condyle injuries, Mandibular Fractures therapy, Open Fracture Reduction methods, Postoperative Complications epidemiology
- Abstract
Background: The purpose of this study was to examine injury patterns in pediatric mandibular condylar fractures and to propose and evaluate the validity of an institutional treatment algorithm for such fractures., Methods: A retrospective chart review was conducted on pediatric patients who presented to the authors' institution with isolated mandibular condylar fractures between 1990 and 2016. Patients were categorized by dentition, and information regarding demographics, injury characteristics, management, and complications was compiled., Results: Forty-three patients with 50 mandibular condylar fractures were identified. Twelve patients (27.9 percent) had deciduous dentition, 15 (34.9 percent) had mixed dentition, and 16 (37.2 percent) had permanent dentition. The most common fracture pattern in all groups was diacapitular [n = 30 (60 percent)]; however, older groups showed higher rates of condylar base fractures and bilateral fractures (p = 0.029 and p = 0.011, respectively). Thirty-one patients (72.1 percent) were treated with nonoperative management, 10 (23.2 percent) with closed treatment and mandibulomaxillary fixation, and two (4.7 percent) with open treatment and mandibulomaxillary fixation; nonoperative treatment was more common in younger patients (p = 0.008). Management for 10 patients (23.2 percent) was nonadherent to the treatment algorithm. Eight patients had complications (18.6 percent). Common complications included temporomandibular joint ankylosis (n = 2) and malocclusion (n = 2). Although complications were seen in all groups, adherence to the algorithm was associated with an 81.8 percent reduction in odds of complications (p = 0.032)., Conclusions: Nonoperative management has a low complication rate in deciduous children. Children with permanent/mixed dentition may undergo closed treatment and mandibulomaxillary fixation if they have malocclusion/contralateral open bite, significant condylar dislocation, and ramus height loss greater than 2 mm., Clinical Question/level of Evidence: Therapeutic, III., (Copyright © 2021 by the American Society of Plastic Surgeons.)
- Published
- 2021
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40. Distinguishing Craniomorphometric Characteristics of Unilateral Lambdoid Craniosynostosis.
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Allam O, Park KE, Pourtaheri N, Mozaffari MA, Smetona J, Lu X, Ahmad M, Persing JA, and Alperovich M
- Subjects
- Cranial Sutures diagnostic imaging, Diagnosis, Differential, Female, Humans, Infant, Male, Mastoid, Craniosynostoses diagnostic imaging, Tomography, X-Ray Computed
- Abstract
Background: Unilateral lambdoid synostosis (ULS) represents the rarest form of single suture nonsyndromic craniosynostosis. Differentiating between posterior deformational plagiocephaly (DP) and ULS has been difficult due to overlapping clinical findings. Past analyses have been limited by sample size. This study was undertaken to clarify anatomical features of ULS., Methods: A multiinstitution study was undertaken, analyzing CT imaging from patients with documented ULS to determine clinical and pathological characteristics. Similar analyses were performed on DP patients to differentiate the 2 conditions., Results: Twenty-seven ULS patient scans and 10 DP scans were included. For ULS patients mean age was 6.6 months, majority male (75%), and majority left-sided ULS (71%). The synostosed side ear was anteriorly displaced in 100% of ULS patients, mean difference of 9.6° (P < 0.001), and inferiorly in 96.3% of patients, mean difference of 4.4 mm, relative to the nonsynostosed side. The posterior fossa deflection (PFD) was deviated 5.9° toward the synostosed side relative to the anterior midline. In DP, there was no significant difference between sides in EAC measurements. The PFD and EAC displacements were significantly smaller in DP relative to ULS (P < 0.001 for each). An ipsilateral mastoid bulge was found in 100% of ULS and 0% of DP on CT imaging., Conclusion: Contrary to some previously published findings, the ear is more anteriorly displaced ipsilateral to the fused lambdoid suture in 100% of ULS patients. Ear position alone is not a reliable indicator to differentiate between DP and ULS. A mastoid bulge is a more reliable indicator of ULS., Competing Interests: The authors report no conflicts of interest., (Copyright © 2020 by Mutaz B. Habal, MD.)
- Published
- 2021
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41. Aesthetic Rhinoplasty: Technique, 3-Dimensional Simulation, and Outcome Assessment.
- Author
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Park KE, Pourtaheri N, Maniskas S, Allam O, and Steinbacher DM
- Abstract
Communication of goals and realistic expectations between the surgeon and patient is a crucial step of aesthetic rhinoplasty. Three-dimensional (3D) imaging technology allows for sharing of simulated outcomes in the office setting, thereby facilitating this process. This article highlights the use of 3D rhinoplasty simulation in preoperative assessment and the senior author's preferred surgical technique in open rhinoplasty., (© 2020 The Aesthetic Society.)
- Published
- 2020
- Full Text
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42. Orthognathic Surgery to Improve Facial Profile: Assessment, 3-Dimensional Planning, and Technique.
- Author
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Park KE, Maniskas S, Allam O, Pourtaheri N, and Steinbacher DM
- Abstract
A concave profile with class III malocclusion is most often due to a combination of maxillary hypoplasia and mandibular hyperplasia. Surgical correction entails normalization of jaw positions and is more challenging in the setting of concurrent asymmetry and open bite. Treatment should optimize both facial harmony and occlusion. Orthognathic surgery for class III deformities occurs at skeletal maturity and should address all aspects of the condition while preventing unnecessary emotional stress from delayed treatment. In this article, the authors describe the 3-jaw orthognathic surgery technique to address maxillary hypoplasia, mandibular prognathism, open bite, and mandibular asymmetry in a single procedure. The process of preoperative 3-dimensional (3D) virtual surgical planning, detailed surgical technique, fat grafting, and a comparison of preoperative and postoperative 3D aesthetic outcomes is presented. Additionally, a retrospective review of postoperative outcomes of 54 patients who received 3-jaw orthognathic surgery is presented as well., (© 2020 The Aesthetic Society.)
- Published
- 2020
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43. Concurrent High Condylectomy and Orthognathic Surgery for Treatment of Patients With Unilateral Condylar Hyperplasia.
- Author
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Maniskas SA, Ly CL, Pourtaheri N, Parsaei Y, and Steinbacher DM
- Subjects
- Adolescent, Adult, Esthetics, Dental, Facial Asymmetry surgery, Female, Humans, Hyperplasia, Male, Mandibular Condyle diagnostic imaging, Mandibular Condyle pathology, Mandibular Diseases diagnostic imaging, Mandibular Diseases pathology, Middle Aged, Orthognathic Surgical Procedures methods, Retrospective Studies, Young Adult, Mandibular Condyle surgery, Mandibular Diseases surgery
- Abstract
Background: Facial asymmetry from unilateral condylar hyperplasia (UCH) may be definitively treated in the presence of active disease (with high condylectomy and concurrent orthognathic surgery) or after waiting for disease inactivity (orthognathic surgery alone). There is currently no consensus on the standard of care. In this study, we sought to compare functional and esthetic outcomes, as well as treatment duration, between these 2 management options., Methods: Patients who underwent treatment for UCH were identified through retrospective review. Pre- and postoperative 3-dimensional (3D) images were obtained. Short- and long-term operative outcomes of those treated during the active (group 1) were compared to those treated in the inactive phase (group 2). Total treatment time, operative time, and length of hospital stay were evaluated. Facial asymmetry was also assessed by laypersons using a Likert scale., Results: Fifteen patients (mean 25.6 years, range 14-56) were included: 6 in group 1 and 9 in group 2. All surgical outcomes were statistically independent of procedure type. Treatment time was significantly longer in the group 2 (P = 0.03). Both groups demonstrated significant improvement in facial asymmetry scores postoperatively with no significant difference in pre- or postoperative asymmetry between groups (P = 0.64)., Conclusions: In patients with active UCH, high condylectomy and orthognathic surgery is a procedure that restores facial symmetry and improves jaw function while halting mandibular growth. Good esthetic and functional outcomes, as well as reduced treatment time and disease burden, support the use of this treatment option for this population.
- Published
- 2020
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44. Vascularized Composite Parietal Bone Flap for Immediate Reconstruction of a Hemi-Maxillectomy Defect in an Infant.
- Author
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Chandler L, Pourtaheri N, Maniskas S, Ahmad M, Lopez J, and Steinbacher DM
- Subjects
- Craniotomy, Humans, Infant, Magnetic Resonance Imaging, Male, Maxilla blood supply, Maxilla diagnostic imaging, Maxilla pathology, Maxillary Neoplasms blood supply, Maxillary Neoplasms diagnostic imaging, Maxillary Neoplasms pathology, Parietal Bone blood supply, Parietal Bone diagnostic imaging, Surgical Flaps surgery, Temporal Muscle surgery, Zygoma surgery, Maxilla surgery, Maxillary Neoplasms surgery, Melanoma surgery, Parietal Bone surgery, Plastic Surgery Procedures
- Abstract
Background: Surgical resection of maxillary tumors can result in defects that can be difficult to reconstruct by conventional means due to the complex functional and anatomic nature of the midface and lack of regional bone flap options in the head and neck. Many reconstructive methods have been used to repair maxillary defects, but the ideal technique for the reconstruction of hemi-maxillectomy defects in growing pediatric patients has yet to be determined., Methods: The authors present a rare pediatric patient with melanotic neuroectodermal tumor of infancy resulting in a hemi-maxillectomy defect after resection that was reconstructed using a pedicled vascularized composite flap consisting of temporalis muscle, pericranium, and parietal bone., Results: The patient achieved successful long-term bony reconstruction of his right maxilla with this flap. Stable skeletal fixation with adequate orbital support was maintained over a >3-year follow-up period., Conclusion: A vascularized composite parietal bone flap is a reliable reconstructive option for reconstruction of large maxillectomy defects providing low donor-site morbidity, adequate globe support, excellent long-term skeletal stability, and malar symmetry in rapidly growing pediatric patients. Successful reconstruction for a rare patient with maxillary melanotic neuroectodermal tumor of infancy requiring hemi-maxillectomy was demonstrated with >3-year follow-up.
- Published
- 2020
- Full Text
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45. Open Reduction, Internal Fixation of Isolated Mandible Angle Fractures in Growing Children.
- Author
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Yesantharao PS, Lopez J, Reategui A, Najjar O, Yu JW, Pourtaheri N, Redett RJ, Manson PN, and Dorafshar A
- Subjects
- Adolescent, Cohort Studies, Fracture Fixation, Internal methods, Humans, Jaw Fixation Techniques, Longitudinal Studies, Open Fracture Reduction, Retrospective Studies, Mandibular Fractures surgery
- Abstract
Background: Mandible angle fractures can result in significant, long-term morbidity in children. However, management of this particular mandibular fracture type is not well-characterized in the pediatric population. This study investigated isolated mandibular angle fractures in the pediatric patients., Methods: This was a 30-year retrospective, longitudinal cohort study of pediatric patients presenting to a single institution with mandibular angle fractures. Patient data were abstracted from electronic medical records. Subgroup analyses were completed by dentition stage., Results: Seventeen patients met inclusion criteria, of whom 6 (35.3%) had deciduous, 4 (23.5%) had mixed, and 7 (41.2%) had permanent dentition. Deciduous/mixed dentition patients with mobile, displaced fractures underwent ORIF, whereas those with nondisplaced fractures underwent treatment with soft diet. Among permanent dentition patients, most patients (71.4%) underwent ORIF regardless of fracture severity. The post-ORIF complication rate was 55.6%; no complications were reported after soft diet or closed treatment (Fischer exact: P = 0.05). The most common post-ORIF complication was alveolar nerve paresthesia (17.6%) and post-ORIF complication rates did not vary by age (deciduous: 16.7%, mixed: 25.0%, permanent: 42.9%, Fischer exact: P = 0.80). ORIF patients who received a single upper border miniplate had a lower complication rate (42.9%) than other plating methods (upper and lower miniplates-100%). Fracture severity was predictive of post-ORIF complications (odds ratio: 2.23, 95% confidence interval: 2.22-2.24, P < 0.0001)., Conclusions: Isolated mandible angle fractures were relatively rare in children, and treatment requirements varied by injury severity and dentition stage. Although isolated angle fractures had substantial associated morbidity, this fracture pattern did not result in notable growth limitations/deformity.
- Published
- 2020
- Full Text
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46. Leveling the Maxillary Occlusal Plane Without Orthodontic Appliances in Patients With Hemifacial Microsomia Using Unilateral Vertical Mandibular Distraction Osteogenesis.
- Author
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Pourtaheri N, Yang R, Lopez J, and Kumar AR
- Subjects
- Child, Dental Occlusion, Female, Humans, Male, Orthodontic Appliances, Osteogenesis, Distraction, Retrospective Studies, Goldenhar Syndrome surgery, Mandible surgery, Maxilla surgery
- Abstract
Purpose: To assess maxillary occlusal plane correction in patients with hemifacial microsomia (HFM) after vertical vector mandibular distraction osteogenesis (vMDO) without orthodontic appliances., Methods: A retrospective study was performed on consecutive patients with HFM and Kaban-Pruzansky type-II mandibular deformities who underwent unilateral vMDO by a single surgeon over an 18-month period. Patients with 12-months minimum clinical follow-up and postero-anterior (PA) cephalograms taken preoperatively and at a minimum of 3 months post-consolidation were included., Results: Five patients met inclusion criteria, 3 were female, median age was 13 years, median distraction length was 21.3 mm. Median radiographic follow-up was 5 months (range 3-38) post-consolidation. Median correction of the ramus height differential (difference between non-diseased and diseased side) was 97.3%. Median maxillary height differential correction was 72.2%. Median maxillary occlusal plane angle correction (towards zero) was 84.2%. Relative and absolute maxillary bone growth was greater on the diseased side (median 7.4%, 3.5 mm versus 2.8%, 1.4 mm). Dentoalveolar height decreased bilaterally in 4 of the 5 patients. Median chin point correction (towards midline) was 31.4%., Conclusion: Unilateral vMDO without orthodontic appliances effectively corrected mandibular ramus height, leveled the maxillary occlusal plane, and preferentially increased maxillary bone growth on the diseased side in patients with HFM.
- Published
- 2020
- Full Text
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47. Plastic Surgery Oral Board Prep: Case Management Questions and Answers.
- Author
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Pourtaheri N
- Published
- 2020
- Full Text
- View/download PDF
48. Microsurgery Training Resource Variation among US Integrated Plastic Surgery Residency Programs.
- Author
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Mueller MA, Pourtaheri N, and Evans GRD
- Subjects
- Health Resources, Humans, Microsurgery standards, Reproducibility of Results, Surgery, Plastic standards, United States, Competency-Based Education standards, Curriculum, Internship and Residency, Microsurgery education, Surgery, Plastic education
- Abstract
Background: Given emerging focus on competency-based surgical training and work-hour limitations, surgical skills laboratories play an increasingly important role in resident education. This study was designed to investigate educational opportunities in microsurgery across integrated residency programs., Methods: Senior residents (PGY 4-6) at integrated plastic surgery programs were surveyed during the 2016 to 2017 academic year to determine each program's access to: training microscopes and anastomosis models, video-based skills assessment, pre-requisite skills exams, flap courses, or a formal microsurgical training curriculum. Programs were stratified based on large size (>18 residents) and presence of microsurgery fellows. Chi-squared analysis was performed with p < 0.05 to assess statistical significance., Results: Survey responses were collected from 32 of 60 eligible programs (53% response rate). Sixty-nine percent provide access to one to two training microscopes, 25% provide three or more, and 6% provide none. Sixty-nine percent of programs train anastomosis with nonliving prosthetics, 66% with living biologics, and 50% with nonliving biologics. Large program size or having microsurgical fellows was not associated with increased access to training microscopes or specific anastomosis models. Programs without microsurgery fellows reported more often that a formal microsurgery curriculum would be helpful (90 vs. 58% of programs with fellows, p = 0.0003). Respondents who indicated that creating a formal curriculum would not be helpful elaborated that their program already has a formal curriculum or a high volume of microsurgery cases., Conclusion: This study demonstrates the current variation in microsurgery training at integrated plastic surgery residency programs. A formal microsurgical training curriculum is commonly viewed as being helpful, particularly at programs without microsurgery fellows., Competing Interests: None declared., (Thieme Medical Publishers 333 Seventh Avenue, New York, NY 10001, USA.)
- Published
- 2019
- Full Text
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49. Therapeutic Role of Fat Injection in the Treatment of Recalcitrant Migraine Headaches.
- Author
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Guyuron B and Pourtaheri N
- Subjects
- Adult, Aged, Cannula, Female, Follow-Up Studies, Humans, Injections, Subcutaneous instrumentation, Injections, Subcutaneous methods, Middle Aged, Migraine Disorders diagnosis, Myelin Sheath pathology, Pain Measurement, Peripheral Nerves pathology, Peripheral Nerves surgery, Prospective Studies, Transplantation, Autologous instrumentation, Transplantation, Autologous methods, Treatment Outcome, Young Adult, Abdominal Fat transplantation, Decompression, Surgical methods, Migraine Disorders surgery, Neurosurgical Procedures methods
- Abstract
Background: This study was designed to assess the safety and efficacy of site-specific fat injection for the treatment of refractory migraine headaches following medical or surgical treatment., Methods: A prospective cohort study was performed on consecutive patients who had migraine headaches with persistent symptoms after surgical decompression and were given therapeutic fat injections from September of 2012 to January of 2015 with 12 months' minimum follow-up. Clinical outcomes assessment included migraine frequency, intensity, duration, migraine headache index, and complications. A 50 percent or greater decrease in frequency, intensity, or duration was considered therapeutic success, whereas 10 percent or greater increase in migraine headache index was considered worsening of symptoms. Pairwise t tests were used to assess statistical significance (p < 0.05)., Results: Twenty-nine patients met inclusion criteria. All were female, with a mean age of 49.0 years (range, 21.5 to 72.5 years), and mean follow-up was 29.4 months (range, 12.3 to 49.5 months). Twenty patients (69.0 percent) experienced successful improvement; 12 (41.4 percent) experienced complete resolution. Five patients (17.2 percent) experienced subtherapeutic improvement, and four (13.8 percent) experienced worsening of symptoms. Mean improvement per patient at their last follow-up was 5.1 (39.3 percent) fewer attacks per month (p = 0.035); 3.1 (42.0 percent) lower intensity on a scale of 1 to 10 (p = 0.001); 31.8 (74.4 percent) fewer hours of duration (p = 0.219); and 52.8 percent lower migraine headache index (p = 0.012). There were no complications for any patient., Conclusions: Migraine headache symptoms were successfully reduced in the majority of cases with fat injection. A comprehensive surgical treatment algorithm including this novel procedure is presented., Clinical Question/level of Evidence: Therapeutic, IV.
- Published
- 2019
- Full Text
- View/download PDF
50. Unilateral Coronal Craniosynostosis in an Apert-Like Patient.
- Author
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Pourtaheri N, Wang DZ, Lesko RP, Bonfield CM, Taub P, and Kumar AR
- Abstract
Background and Significance: Apert syndrome is a congenital disorder of patients who typically present with bilateral coronal craniosynostosis and varying degrees of complex syndactyly of the hands and feet, among other features. We describe a unique presentation of a rare Apert-like patient with unilateral coronal craniosynostosis and complex syndactyly of the hands and feet., Case Report: A 2-year-old male patient presented to the craniofacial clinic with his mother due to a concerning head shape. The patient also had bilateral syndactyly of the hands and feet and underwent prior surgical release of the third web space. Computerized tomography of the head illustrated a small open anterior fontanelle, a left harlequin orbit, complete left coronal craniosynostosis, and a patent right coronal suture. The patient subsequently underwent fronto-orbital advancement for expansion of the cranial vault and correction of the asymmetric forehead and orbit. The procedure resulted in improvement of his deformity., Conclusion: This case illustrates a unique presentation of an acrocephalosyndactyly (ACS) syndrome with asymmetric, unilateral coronal craniosynostosis and complete complex syndactyly of the hands and feet that is most consistent with Apert syndrome. Although the majority of patients with ACS can be categorized into known syndromes, other more unusual presentations must still be considered. Such unique cases are exceedingly rare and only through additional reporting and review of unique phenotypes can new subtypes of common ACS syndromes be classified., Competing Interests: Declaration of Conflicting Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
- Published
- 2019
- Full Text
- View/download PDF
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