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1319 citation(s) found for "Ly, Nguyen".

Genetic Architecture of Abdominal Aortic Aneurysm in the Million Veteran Program
Klarin, Derek , Judy, Renae , Dikilitas, Ozan , Wolford, Brooke N. , Paranjpe, Ishan , Levin, Michael G. , Pan, Cuiping , Tcheandjieu, Catherine , Spin, Joshua M. , Assimes, Themistocles L. , Nyrønning, Linn Åldstedt , Mattsson, Erney , Denny, Joshua C. , Zhang, Yanfei , Jarvik, Gail P. , Gharavi, Ali G. , Harley, John B. , Mentch, Frank , Håkonarson, Håkon , Skogholt, Anne Heidi , Thomas, Laurent F. , Gabrielsen, Maiken E. , Zhou, Wei , Fritsche, Lars G. , Huang, Jie , Natarajan, Pradeep , Sun, Yan V. , DuVall, Scott L. , Cho, Kelly , Chang, Kyong‐Mi , Wilson, Peter W.F. , O’Donnell, Christopher J., Kathiresan, Sekar , Scali, Salvatore T. , Jones, Gregory T. , Bown, Matthew J. , Nadkarni, Girish N. , Ritchie, Marylyn D. , Tsao, Philip S. , Gaziano, J. Michael , Ramoni, Rachel , Breeling, Jim, Huang, Grant D. , Muralidhar, Sumitra , O’Donnell, Christopher J. , Romero, Jonathan , Tsao, Philip S., Moser, Jennifer , Whitbourne, Stacey B. , Brewer, Jessica V., Warren, Stuart, Argyres, Dean P., Tsao, Philip S., Stephens, Brady, Brophy, Mary T. , Humphries, Donald E., Shayan, Shahpoor, O’Donnell, Christopher J., Pyarajan, Saiju , Tsao, Philip S., Dell’Italia, Louis J. , Zablocki, Clement J., Beckham, Jean, Wells, John A. , Gutierrez, Salvador, Kaminsky, Laurence S., Villareal, Gerardo, Xu, Junzhe, Hamner, Mark B. , Haddock, Kathlyn Sue, Bhushan, Sujata, Iruvanti, Pran, Godschalk, Michael, Buford, Malcolm, Mastorides, Stephen , Ratcliffe, Nora, Flórez, Hermes , Swann, Alan C. , Murdoch, Maureen, Yeh, Shing Shing, Washburn, Ronald G., Jhala, Darshana , Aguayo, Samuel M., Cohen, David , Sharma, Satish, Callaghan, John, Oursler, Kris Ann, Ahuja, Sunil K. , Gutierrez, Amparo, Schifman, Ronald, Greco, Jennifer , Oehlert, Mary E. , Wallbom, Agnes, Fernando, Ronald, Morgan, Timothy R. , Stapley, Todd, Anderson, Gwenevere, Sonel, Elif, Fayad, Joseph, Hung, Adriana M. , Lichy, Jack, Hurley, Robin A. , Hakonarson, Hakon , Denny, Joshua C , Jarvik, Gail P , Dikilitas, Ozan , Assimes, Themistocles L , Natarajan, Pradeep , Wolford, Brooke N , Scali, Salvatore , Chang, Kyong-Mi , Tsao, Philip S , Verma, Shefali S. , Lynch, Julie A. , Edwards, Todd L. , Larson, Eric B. , Lee, Ming Ta Michael , Carrell, David , Pacheco, Jennifer A. , Hveem, Kristian , Nielsen, Jonas Bille , Rader, Daniel J , O’Donnell, Christopher J., Berceli, Scott A. , Willer, Cristen J , Kullo, Iftikhar J. , Damrauer, Scott M , Beckham, Jean C , Tsao, Philip S., Concato, John , Tsao, Philip S., Do, Nhan , Nguyen, Xuan‐Mai T. , O’Donnell, Christopher J., Tsao, Philip S., Hauser, Elizabeth R. , Zhao, Hongyu , McArdle, Rachel , Whittle, Jeff , Beckham, Jean, Wells, John, Gibson, Gretchen , Kinlay, Scott , Ballas, Zuhair K. , Klein, Jon , Sriram, Peruvemba , Washburn, Ronald, Whooley, Mary A. , Rauchman, Michael I. , Servatius, Richard J. , Sherman, Scott E. , Boyko, Edward J. , Meyer, Laurence , Gupta, Samir , Robey, R. Brooks , Striker, Rob

Circulation | September 28, 2020 | Volume: 142 | Issue: 17 | Pages: 1633-1646

10.1161/circulationaha.120.047544 | PMID 32981348 Get It

Background: Abdominal aortic aneurysm (AAA) is an important cause of cardiovascular mortality; however, its genetic determinants remain incompletely defined. In total, 10 previously identified risk loci explain a small fraction of AAA heritability. Methods: We performed a genome-wide association study in the Million Veteran Program testing ≈18 million DNA sequence variants with AAA (7642 cases and 172 172 controls) in veterans of European ancestry with independent replication in up to 4972 cases and 99 858 controls. We then used mendelian randomization to examine the causal effects of blood pressure on AAA. We examined the association of AAA risk variants with aneurysms in the lower extremity, cerebral, and iliac arterial beds, and derived a genome-wide polygenic risk score (PRS) to identify a subset of the population at greater risk for disease. Results: Through a genome-wide association study, we identified 14 novel loci, bringing the total number of known significant AAA loci to 24. In our mendelian randomization analysis, we demonstrate that a genetic increase of 10 mm Hg in diastolic blood pressure (odds ratio, 1.43 [95% CI, 1.24–1.66]; P =1.6×10 −6 ), as opposed to systolic blood pressure (odds ratio, 1.06 [95% CI, 0.97–1.15]; P =0.2), likely has a causal relationship with AAA development. We observed that 19 of 24 AAA risk variants associate with aneurysms in at least 1 other vascular territory. A 29-variant PRS was strongly associated with AAA (odds ratio PRS , 1.26 [95% CI, 1.18–1.36]; P PRS =2.7×10 −11 per SD increase in PRS), independent of family history and smoking risk factors (odds ratio PRS+family history+smoking , 1.24 [95% CI, 1.14–1.35]; P PRS =1.27×10 −6 ). Using this PRS, we identified a subset of the population with AAA prevalence greater than that observed in screening trials informing current guidelines. Conclusions: We identify novel AAA genetic associations with therapeutic implications and identify a subset of the population at significantly increased genetic risk of AAA independent of family history. Our data suggest that extending current screening guidelines to include testing to identify those with high polygenic AAA risk, once the cost of genotyping becomes comparable with that of screening ultrasound, would significantly increase the yield of current screening at reasonable cost.
Changes in Liver Transplant Center Practice in Response to Coronavirus Disease 2019: Unmasking Dramatic Center‐Level Variability
Sanghavi, Devang , Lowman, Phillip E., Harnois, Denise M. , Nguyen, Justin H. , Canabal, Juan, Sanghavi, Devang K., Canabal, Juan M, Moreno Franco, Pablo, Keaveny, Andrew P. , Franco, Pablo Moreno

Liver Transplantation | August 29, 2020 | Volume: 26 | Issue: 12 | Pages: 1672-1673

10.1002/lt.25877 | PMID 32858781 Get It

Revision Elbow Arthroplasty Using a Proximal Ulnar Allograft with Allograft Triceps for Combined Ulnar Bone Loss and Triceps Insufficiency
Burnier, Marion , Nguyen, Ngoc Tram V. , Morrey, Mark E. , O’Driscoll, Shawn W. , Sánchez‐Sotelo, Joaquín , Sanchez-Sotelo, J. , Fitzsimmons, James S , Morrey, Mark E

Journal of Bone and Joint Surgery | August 26, 2020 | Volume: 102 | Issue: 22 | Pages: 2001-2007

10.2106/jbjs.20.00414 | PMID 32852355 Get It

Background: When revision elbow arthroplasty is required in the presence of structural proximal ulnar bone loss and triceps insufficiency, structural ulnar bone-grafting and triceps reconstruction are both required to reconstruct the skeleton and to restore active extension. We have developed a technique utilizing a structural proximal ulnar allograft with its attached triceps as an allograft-prosthetic composite (APC) to provide reconstruction of the proximal ulnar bone and deficient extensor mechanism with the same allograft. Methods: Between 2010 and 2017, the senior author performed 10 revision elbow arthroplasties using a proximal ulnar allograft with its intact triceps tendon allograft. The allograft ulna was combined with an ulnar component in an APC fashion, whereas the remaining triceps was repaired to the triceps allograft. Indications for a revision surgical procedure included aseptic loosening in 4 elbows, periprosthetic ulnar fracture with component loosening in 2 elbows, and the second stage of a 2-stage reimplantation in 4 elbows. Two elbows also required humeral APCs due to associated structural humeral bone loss. Postoperatively, all elbows were immobilized in extension for 6 weeks. The mean follow-up time was 45 months (range, 24 to 76 months). Results: Revision elbow arthroplasty resulted in pain improvement in all elbows in a 10-point visual analog scale. The mean flexion-extension arc was 95°, the mean Mayo Elbow Performance Score was 76 points (range, 45 to 95 points), and the mean triceps strength score was 4. There were 6 reoperations: 3 for humeral loosening, 1 for deep infection, 1 for fracture of the ulnar allograft, and 1 for wound debridement and closure. For the 8 elbows with an intact ulnar reconstruction, no ulnar components were radiographically loose, and the ulnar graft was considered radiographically intact and healed in 8 elbows. Conclusions: Reconstruction of the proximal part of the ulna and triceps in failed elbow arthroplasties with structural ulnar bone loss can be effectively accomplished using a structural proximal ulnar allograft as an APC with the preserved triceps tendon for the extensor mechanism reconstruction, but the procedure is associated with an expected high reoperation rate, as is the case in complex revision elbow arthroplasty. Level of Evidence: Therapeutic Level IV . See Instructions for Authors for a complete description of levels of evidence.
Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study
James, Spencer L , Castle, Chris D, Dingels, Zachary V, Fox, Jack T, Hamilton, Erin B, Sylte, Dillon O , Bertolacci, Gregory J, Cunningham, Matthew , LeGrand, Kate E , Abdelalim, Ahmed , Abdulkader, Rizwan Suliankatchi , Abedi, Aidin , Abegaz, Kedir Hussein , Eshete, Akine , Abushouk, Abdelrahman Ibrahim , Adebayo, Oladimeji , Advani, Shailesh M, Agudelo‐Botero, Marcela , Ahmad, Tauseef , Aichour, Miloud Taki Eddine, Alahdab, Fares , Alanezi, Fahad , Alema, Niguse Meles , Wassihun, Biresaw , Ali, Beriwan Abdulqadir, Alipour, Vahid, Almasri, Nihad A. , Altirkawi, Khalid A , Amer, Yasser Sami , Andrei, Cătălina Liliana , Ansari-Moghaddam, Alireza, Antonio, Carl Abelardo T, Anvari, Davood , Appiah, Seth Christopher Yaw , Arabloo, Jalal , Arefi, Zohreh , Aremu, Olatunde , Ariani, Filippo , Arora, Amit , Quintanilla, Beatriz Paulina Ayala , Ayano, Getinet , Ayanore, Martin Amogre , Azarian, Ghasem , Badawi, Alaa, Badiye, Ashish , Baig, Atif Amin , Bairwa, Mohan , Bakhtiari, Ahad , Banerjee, Srikanta , Banik, Palash Chandra , Banstola, Amrit , Barker‐Collo, Suzanne , Bärnighausen, Till , Barzegar, Akbar , Belete, Habte , Bennett, Derrick , Berhe, Kidanemaryam , Bhagavathula, Akshaya Srikanth , Bhardwaj, Pankaj , Bhat, Anusha Ganapati , Bhattacharyya, Krittika , Bhutta, Zulfiqar A , Bibi, Sadia , Bijani, Ali , Borschmann, Rohan , Borzì, Antonio Maria , Braithwaite, Dejana , Брико, Н. И. , Brugha, Traolach , Budhathoki, Shyam Sundar , Car, Josip , Cárdenas, Rosario , Carvalho, Félix , Castaldelli-Maia, João Maurício , Castañeda-Orjuela, Carlos A , Castelpietra, Giulio , Catalá-López, Ferrán , Cerin, Ester , Chandan, Joht Singh , Chapman, Jens R. , Chattu, Vijay Kumar , Chattu, Soosanna Kumary , Chaudhary, Neha , Cho, Daniel , Choi, Jee-Young J, Chowdhury, Mohiuddin Ahsanul Kabir , Christopher, Devasahayam Jesudas , Chu, Dinh‐Toi , Costa, Vera Marisa , Dávila-Cervantes, Claudio Alberto , Leo, Diego De, Demoz, Gebre Teklemariam , Demsie, Desalegn Getnet , Deribe, Kebede , Desai, Rupak , Nasab, Mostafa Dianati, Silva, Diana Dias da , Forooshani, Zahra Sadat Dibaji, Doyle, Kerrie , Driscoll, Tim , Dubljanin, Eleonora , Adema, Bereket Duko , Eagan, Arielle Wilder , Elemineh, Demelash Abewa , El‐Khatib, Ziad , Ellingsen, Christian Lycke , Eyawo, Oghenowede , Faris, Pawan , Faro, André , Farzadfar, Farshad , Fereshtehnejad, Seyed-Mohammad , Fernandes, Eduarda , Ferrara, Pietro , Fischer, Florian , Foláyan, Morẹ́nikẹ́ Oluwátóyìn , Fomenkov, Artem Alekseevich , Francis, Joel M , Fukumoto, Takeshi , Geberemariyam, Biniyam Sahiledengle, Gebremariam, Hadush, Gebremedhin, Ketema Bizuwork , Gebremeskel, Leake , Gebremeskel, Gebreamlak Gebremedhn , Gebremichael, Berhe , Geta, Birhanu, Ghafourifard, Mansour , Ghamari, Farhad , Gheshlagh, Reza Ghanei , Gholamian, Asadollah , Gilani, Syed Amir , Gill, Tiffany K, Goulart, Alessandra C. , Grada, Ayman , Guo, Yuming , Haagsma, Juanita A. , Hall, Brian J. , Hamadeh, Randah R , Hassan, Shoaib, Hassen, Hamid Yimam , Havmoeller, Rasmus, Heydarpour, Fatemeh , Hı́jar, Martha , Ho, Hung Chak , Hoang, Chi Linh , Hole, Michael K., Hossain, Naznin , Hosseinzadeh, Mehdi , Hostiuc, Sorin , Ibitoye, Segun Emmanuel , Inbaraj, Leeberk Raja , Irvani, Seyed Sina Naghibi , Islam, M. Mofizul , Islam, Sheikh Mohammed Shariful , Ivers, Rebecca , Jahani, Mohammad Ali, Jakovljević, Mihajlo , Jayaraman, Sudha , Jha, Ravi Prakash , John-Akinola, Yetunde O. , Joseph, Nitin , Joukar, Farahnaz, Jürisson, Mikk , Kahsay, Amaha , Kalankesh, Leila R , Kalhor, Rohollah , Kamil, Teshome Abegaz, Kapoor, Neeti , Karami, Manoochehr , Kasaeian, Amir , Kassaye, Hagazi Gebremedhin, Kavetskyy, Taras , Kayode, Gbenga A , Keiyoro, Peter Njenga, Kelbore, Abraham Getachew , Khader, Yousef , Khafaie, Morteza Abdullatif , Khalid, Nauman , Khalil, Ibrahim A, Khalilov, Rovshan , Khan, Maseer , Khan, Ejaz Ahmad , Khan, Junaid , Khanna, Tripti, Khundkar, Roba , Kiirithio, Daniel N, Kim, Yun Jin , Kısa, Sezer , Kısa, Adnan , Komaki, Hamidreza , Kondlahalli, Shivakumar K M, Koolivand, Ali , Korshunov, Vladimir Andreevich , Kraemer, Moritz U. G. , Krishan, Kewal , Defo, Barthélémy Kuate , Biçer, Burcu Küçük , Kugbey, Nuworza , Kumar, Manasi , Kumar, Vivek , Kumar, Narinder , Kumaresh, Girikumar, Lami, Faris , Lasrado, Savita , Leasher, Janet L , Li, Shanshan , Liu, Xuefeng , Lyons, Ronan A , Machado, Daiane Borges , Madadin, Mohammed , Razek, Muhammed Magdy Abd El, Mahotra, Narayan Bahadur , Majdán, Marek , Majeed, Azeem , Maled, Venkatesh , Manafi, Navid , Manafi, Amir , Manda, Ana-Laura, Mansour-Ghanaei, Fariborz, Mason‐Jones, Amanda J. , Masoumi, Seyedeh Zahra , Massenburg, Benjamin B. , Maulik, Pallab K , Mehndiratta, Man Mohan, Melketsedik, Zeleke Aschalew , Memiah, Peter , Mendoza, Walter, Menezes, Ritesh G. , Mengesha, Melkamu Merid , Meretoja, Tuomo J , Meretoja, Atte , Merie, Hayimro Edemealem , Miazgowski, Bartosz , Miazgowski, Tomasz , Miller, Ted R. , Mini, GK , Мirrakhimov, Erkin М , Mithra, Prasanna , Moghadaszadeh, Masoud, Mohammad, Yousef , Mohammadian-Hafshejani, Abdollah , Mohammed, Shafiu , Mohammed, Jemal , Bandpei, Mohammad Ali Mohseni, Molokhia, Mariam , Monasta, Lorenzo , Moodley, Yoshan , Moradi, Masoud , Moradi, Ghobad , Morawska, Lídia , Velásquez, Ilais Moreno , Mossie, Tilahun Belete , Musa, Kamarul Imran , Mustafa, Ghulam , Naderi, Mehdi , Nagarajan, Ahamarshan Jayaraman , Naik, Gurudatta , Naimzada, Mukhammad David , Nangia, Vinay, Nascimento, Bruno Ramos , Naserbakht, Morteza , Ndwandwe, Duduzile , Negoi, Ionuţ , Ngunjiri, Josephine W, Nguyen, Cuong Tat , Nguyen, Diep Ngoc , Nikbakhsh, Rajan , Ningrum, Dina Nur Anggraini , Nnaji, Chukwudi A , Ofori‐Asenso, Richard , Ogbo, Felix Akpojene , Oghenetega, Onome Bright , Olagunju, Andrew T , Olagunju, Tinuke O , Bali, Ahmed Omar , Onwujekwe, Obinna , Orpana, Heather , Otstavnov, Nikita , Otstavnov, Stanislav S , Mahesh, P A , Padubidri, Jagadish Rao , Pakhalé, Smita , Pakshir, Keyvan , Panda‐Jonas, Songhomitra, Park, Eun‐Kee , Patel, Sangram Kishor , Pathak, Ashish , Pati, Sanghamitra , Paulos, Kebreab , Pepito, Veincent Christian Filipino , Полибин, Р. В. , Polinder, Suzanne, Pourmalek, Farshad , Pourshams, Akram , Poustchi, Hossein, Prakash, Swayam , Pribadi, Dimas Ria Angga , Puri, Parul , Syed, Zahiruddin Quazi, Rabiee, Navid , Radfar, Amir , Rafay, Anwar, Rafiee, Ata , Rafiei, Alireza , Rahim, Fakher , Rahman, Muhammad Aziz , Rajabpour-Sanati, Ali, Rajati, Fatemeh , Rakovac, Ivo , Rao, Sowmya J, Rashedi, Vahid , Rawal, Lal , Rawassizadeh, Reza , Renjith, Vishnu , Resnikoff, Serge , Rezapour, Aziz, Rickard, Jennifer , Saddik, Basema , Safdarian, Mahdi , Sajadi, S. Mohammad , Salamati, Payman, Salem, Marwa Rashad , Salem, Hosni , Salz, Inbal, Samy, Abdallah M , Sanabria, Juan , Sànchez-Riera, Lídia , Sarveazad, Arash , Sathian, Brijesh , Sawhney, Monika, Schwebel, David C. , Seedat, Soraya , Senthilkumaran, Subramanian , Seyedmousavi, Seyedmojtaba , Sha, Feng , Shaahmadi, Faramarz , Shaikh, Masood Ali , Shams-Beyranvand, Mehran , Shigematsu, Mika, Shin, Jae Il , Shiri, Rahman , Sigfúsdóttir, Inga Dóra, Singh, Pankaj Kumar , Sinha, Dhirendra Narain , Soriano, Joan B. , Soyiri, Ireneous N , Sufiyan, Mu’awiyyah Babale , Sykes, Bryan L. , Tabarés‐Seisdedos, Rafael , Tabb, Karen M. , Wogayehu, Biruk , Tefera, Yibekal Manaye , Tekulu, Gebretsadkan Hintsa , Kassie, Ayenew , Титова, М. В. , Tlaye, Kenean Getaneh , Tohidinik, Hamid Reza , Topór-Mądry, Roman , Tripathy, Jaya Prasad , Tsai, Alexander C. , Tsatsakis, Aristidis , Car, Lorainne Tudor , Ullah, Irfan , Ullah, Saif , Upadhyay, Era , Valdéz, Pascual , Violante, Francesco Saverio , Waheed, Yasir , Wang, Yuan‐Pang , Wiangkham, Taweewat , Wolde, Haileab Fekadu , Woldeyes, Dawit Habte , Wu, Ai-Min, Wyper, Grant M. A. , Yadav, Rajaram , Yadollahpour, Ali , Yano, Yuichiro , Yaya, Sanni , Yazdi‐Feyzabadi, Vahid , Ye, Pengpeng , Yisma, Engida , Yoon, Seok‐Jun , Youm, Yoosik , Younis, Mustafa Z , Yousefi, Zabihollah , Yu, Yong , Moghadam, Telma Zahirian , Zaman, Sojib Bin , Zarei, Fatemeh , Zhang, Zhi-Jiang, Zhang, Yunquan , Zodpey, Sanjay , Dandona, Rakhi , Dharmaratne, Samath Dhamminda , Hay, Simon I , Mokdad, Ali H. , Reiner, Robert C. , Vos, Theo , Topór‐Mądry, Roman , Feyissa, Garumma Tolu , Haghparast‐Bidgoli, Hassan , Kumar, G Anil , Zahiruddin, Quazi Syed , Dianatinasab, Mostafa , Sanati, Ali Rajabpour , Baig, Atif Amin , Kumar, Vivek , Castaldelli-Maia, João M , Farzadfar, Farshad , Shin, Jae I L , Islam, Sheikh Mohammed Shariful , Rahman, Muhammad Aziz , Bhagavathula, Akshaya Srikanth , Belete, T , Liu, Zichen , Roberts, Nicholas L S , Henry, Nathaniel J , Abdollahpour, Ibrahim , Adsuar, José Carmelo , Ahmed, Muktar Beshir , Ahmed, Rushdiá , Alghnam, Suliman Abdullah , Ali, Saqib , Alinia, Cyrus , Aljunid, Syed Mohamed , Almasi‐Hashiani, Amir , Antonio, Carl Abelardo T. , Arab-Zozani, Morteza , Asaad, Malke , Balachandran, Arun , Banach, Maciej , Bayati, Mohsen , Bazargan‐Hejazi, Shahrzad , Bedi, Neeraj , Behzadifar, Masoud , Benseñor, Isabela M. , Boloor, Archith , Borges, Guilherme , Boufous, Soufiane , Chatziralli, Irini , Cicuttini, Flavia , Coelho, João M, Dahlawi, Saad M A , Daryani, Ahmad , Demeke, Feleke Mekonnen , Forooshani, Zahra Sadat Dibaji, Do, Hoa , Duko, Bereket , El-Jaafary, Shaimaa I , Zaki, Maysaa El Sayed , Eskandarieh, Sharareh , Foroutan, Masoud , Franklin, Richard C. , Gebremariam, Hadush, Gedefaw, Getnet , Bante, Agegnehu , Gill, Tiffany K. , Goudarzian, Amir Hossein , Grivna, Michal , Guimarães, Rafael Alves , Gupta, Gaurav Kumar , Hamidi, Samer , Handiso, Demelash Woldeyohannes , Haro, Josep María , Hasanzadeh, Amir , Hassanipour, Soheil , Hassankhani, Hadi , Hendrie, Delia V. , Holla, Ramesh , Hu, Guoqing , Ilesanmi, Olayinka Stephen , Jalilian, Farzad , Jayatilleke, Achala Upendra , Jonas, Jost B , Jones, Kelly , Jozwiak, Jacek Jerzy , Jungari, Suresh Banayya , Kabir, Ali , Kanchan, Tanuj , Khalil, Ibrahim A, Khazaei, Salman , Khazaie, Habibolah , Kim, Young‐Eun , Kim, Daniel , Shivakumar, KM , Koyanagi, Ai , Kumar, Nithin , Lansingh, Van Charles , Latifi, Arman , Lauriola, Paolo , Vecchia, Carlo La , Lee, Shaun Wen Huey , Lopez, Alan D , Lotufo, Paulo A. , Malta, Déborah Carvalho , Manjunatha, Narayana , Mansour‐Ghanaei, Fariborz , Mansournia, Mohammad Alì , Maravilla, Joemer Calderon , Aschalew, Zeleke , Meštrović, Tomislav , Mirică, Andreea , Mirzaei-Alavijeh, Mehdi, Moazen, Babak , Mohamadi, Efat , Darwesh, Aso Mohammad , Mohammadpourhodki, Reza , Mohebi, Farnam , Moradi‐Lakeh, Maziar , Moradzadeh, Rahmatollah , Morrison, Shane D. , Muluneh, Atalay Goshu , Najafi, Farid , Nayak, Vinod C , Nazari, Javad , Nguyen, Trang Huyen , Nguyen, Huong Lan Thi , Oh, In‐Hwan , Ota, Erika , Peden, Amy E. , Pereira, Jeevan , Phillips, Michael , Rabiee, Mohammad , Rahimi, Siavash , Rastogi, Prateek , Rathi, Priya , Rawaf, Salman , Ribeiro, Ana Isabel , Ríos-González, Carlos Miguel , Roever, Leonardo , Ronfani, Luca , Roshandel, Gholamreza , Safarpour, Hamid , Salamati, Payman, Santric-Milicevic, Milena M , Sarker, Abdur Razzaque , Sayyah, Mehdi , Shahabi, Saeed , Sheikh, Aziz , Siabani, Soraya , Singh, Ambrish , Soheili, Amin , Sorrie, Muluken Bekele , Stokes, Mark Andrew , Tehrani‐Banihashemi, Arash , Tesfay, Berhe Etsay , Thapar, Rekha , Tran, Khanh Bao , Tran, Bach Xuan , Unnikrishnan, Bhaskaran , Uthman, Olalekan Abdulrahman , Vasankari, Tommi Juhani , Veisani, Yousef , Venketasubramanian, Narayanaswamy , Vlassov, Vasily , Wondmeneh, Temesgen Gebeyehu , Wondmieneh, Adam Belay , YIP, PAUL S. F. , Yonemoto, Naohiro , Yu, Chuanhua , Zaidi, Zoubida , Zamani, Mohammad , Zandian, Hamed , Zhang, Zhi‐Jiang , Ziapour, Arash , Pigott, David M. , Olagunju, Andrew T , Baig, Atif Amin , Desai, Rupak , Alahdab, Fares , Rahim, Fakher

Injury Prevention | August 24, 2020 | Volume: 26 | Issue: Suppl 2 | Pages: i125-i153

10.1136/injuryprev-2019-043531 | PMID 32839249 Get It

Background While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria. Methods In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation. In summary, these methods included estimating cause-specific mortality for every cause of injury, and then estimating incidence for every cause of injury. Non-fatal disability for each cause is then calculated based on the probabilities of suffering from different types of bodily injury experienced. Results GBD 2017 produced morbidity and mortality estimates for 38 causes of injury. Estimates were produced in terms of incidence, prevalence, years lived with disability, cause-specific mortality, years of life lost and disability-adjusted life-years for a 28-year period for 22 age groups, 195 countries and both sexes. Conclusions GBD 2017 demonstrated a complex and sophisticated series of analytical steps using the largest known database of morbidity and mortality data on injuries. GBD 2017 results should be used to help inform injury prevention policy making and resource allocation. We also identify important avenues for improving injury burden estimation in the future.
Elective surgery in asymptomatic patients with undetected SARS-CoV-2 infection: lessons learned from the global operating room
Bustos, Samyd S. , Nguyen, M-D T, Bustos, S S , Bustos, Valeria P.

British Journal of Surgery | July 28, 2020 | Volume: 107 | Issue: 10 | Pages: e399-e400

10.1002/bjs.11843 | PMID 33448340 Get It

Intravenous Tranexamic Acid in Implant-Based Breast Reconstruction Safely Reduces Hematoma without Thromboembolic Events
Weissler, Jason M., Banuelos, Joseph, Jacobson, Steven R., Manrique, Oscar J., Nguyen, My Linh , Harless, Christin A., Tran, Nho V. , Martinez‐Jorge, Jorys, Banuelos, Joseph, Jacobson, Steven R., Manrique, Oscar J., Nguyen, Minh-Doan T.

Plastic & Reconstructive Surgery | July 28, 2020 | Volume: 146 | Issue: 2 | Pages: 238-245

10.1097/prs.0000000000006967 | PMID 32740567 Get It

Background: Antifibrinolytic medications, such as tranexamic acid, have recently garnered increased attention. Despite its ability to mitigate intraoperative blood loss and need for blood transfusion, there remains a paucity of research in breast reconstruction. The authors investigate whether intravenous tranexamic acid safely reduces the risk of hematoma following implant-based breast reconstruction. Methods: A single-center retrospective cohort study was performed to analyze all consecutive patients undergoing immediate two-stage implant-based breast reconstruction following mastectomy between 2015 and 2016. The incidence of postoperative hematomas and thromboembolic events among all patients was reviewed. The patients in the intervention group received 1000 mg of intravenous tranexamic acid before mastectomy incision and 1000 mg at the conclusion of the procedure. Fisher’s exact test and the Mann-Whitney-Wilcoxon test were used. Multivariate logistic regression models were performed to study the impact of intravenous tranexamic acid after adjusting for possible confounders. Results: A total of 868 consecutive breast reconstructions (499 women) were reviewed. Overall, 116 patients (217 breasts) received intravenous tranexamic acid, whereas 383 patients (651 breasts) did not. Patient characteristics and comorbidities were similar between the two the groups. Patients who received tranexamic acid were less likely to develop hematomas [n = 1 (0.46 percent)] than patients who did not [n = 19 (2.9 percent)] after controlling for age, hypertension, and type of reconstruction (prepectoral and subpectoral) (p = 0.018). Adverse effects of intravenous tranexamic acid, including thromboembolic phenomena were not observed. Multivariate analysis demonstrated that age and hypertension independently increase risk for hematoma. Conclusions: Intravenous tranexamic acid safely reduces risk of hematoma in implant-based breast reconstruction. Further prospective randomized studies are warranted to further corroborate these findings. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, III.
Recommendations for patient similarity classes: results of the AMIA 2019 workshop on defining patient similarity
Seligson, Nathan D. , Warner, Jeremy L. , Dalton, William S. , Martin, David , Miller, Robert S. , Patt, Debra A. , Kehl, Kenneth L. , Palchuk, Matvey B. , Alterovitz, Gil , Wiley, Laura K. , Shen, Feichen , Wang, Yanshan , Nguyen, Khoa A. , Wong, Anthony, Chen, James L. , Warner, Jeremy L , Miller, Robert S , Wiley, Laura K , Wang, Yanshan , Huang, Ming , Meric‐Bernstam, Funda , Bernstam, Elmer V

Journal of the American Medical Informatics Association | July 24, 2020 | Volume: 27 | Issue: 11 | Pages: 1808-1812

10.1093/jamia/ocaa159 | PMID 32885823 Get It

Abstract Defining patient-to-patient similarity is essential for the development of precision medicine in clinical care and research. Conceptually, the identification of similar patient cohorts appears straightforward; however, universally accepted definitions remain elusive. Simultaneously, an explosion of vendors and published algorithms have emerged and all provide varied levels of functionality in identifying patient similarity categories. To provide clarity and a common framework for patient similarity, a workshop at the American Medical Informatics Association 2019 Annual Meeting was convened. This workshop included invited discussants from academics, the biotechnology industry, the FDA, and private practice oncology groups. Drawing from a broad range of backgrounds, workshop participants were able to coalesce around 4 major patient similarity classes: (1) feature, (2) outcome, (3) exposure, and (4) mixed-class. This perspective expands into these 4 subtypes more critically and offers the medical informatics community a means of communicating their work on this important topic.
Massage Compared with Massage Plus Acupuncture for Breast Cancer Patients Undergoing Reconstructive Surgery
Dilaveri, Christina A. , Croghan, Ivana T. , Mallory, Molly J., Dion, Liza J., Schroeder, Darrell R. , Martinez‐Jorge, Jorys, Nguyen, Minh-Doan T., Fokken, Shawn C. , Bauer, Brent A. , Wahner‐Roedler, Dietlind L. , Martinez-Jorge, Jorys, Wahner-Roedler, Dietlind L., Schroeder, Darrell , Fischer, Karen M. , Nguyen, Minh-Doan T.

The Journal of Alternative and Complementary Medicine | July 16, 2020 | Volume: 26 | Issue: 7 | Pages: 602-609

10.1089/acm.2019.0479 | PMID 32673082 Get It

Bilateral Oophorectomy as a Risk Factor for the Development of Obstructive Lung Disease
Smith, Carin, Rocca, Walter A. , Scrodin, M. Dulohery, Nguyen, Thanh Thanh L. , Vassallo, Robert

D107. ENVIRONMENTAL EXPOSURES AND COPD | July 7, 2020 | Volume: No volume available | Issue: No issue available | Pages: A7839-A7839

10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a7839 Get It

Should You Trust Your Gut? A Diffuse Lung Disease Diagnostic Dilemma
Nguyen, Tam , Gopalratnam, Kavitha, Tazelaar, Henry D. , Azadeh, Natalya , Sakata, Kenneth K. , Tazelaar, Henry D.

C39. DIFFUSE LUNG DISEASE STUMPERS | July 7, 2020 | Volume: No volume available | Issue: No issue available | Pages: A4986-A4986

10.1164/ajrccm-conference.2020.201.1_meetingabstracts.a4986 Get It