Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Jeffrey L, Hymes"'
Autor:
John W. Larkin, Suman Lama, Sheetal Chaudhuri, Joanna Willetts, Anke C. Winter, Yue Jiao, Manuela Stauss-Grabo, Len A. Usvyat, Jeffrey L. Hymes, Franklin W. Maddux, David C. Wheeler, Peter Stenvinkel, Jürgen Floege, on behalf of the INSPIRE Core Group
Publikováno v:
BMC Nephrology, Vol 25, Iss 1, Pp 1-16 (2024)
Abstract Background Gastrointestinal bleeding (GIB) is a clinical challenge in kidney failure. INSPIRE group assessed if machine learning could determine a hemodialysis (HD) patient’s 180-day GIB hospitalization risk. Methods An eXtreme Gradient Bo
Externí odkaz:
https://doaj.org/article/f4272cea88a24d7fa5d86c3b4f57a0ee
Autor:
Smeeta Sinha, Sagar U. Nigwekar, Vincent Brandenburg, Lisa J. Gould, Thomas E. Serena, Sharon M. Moe, George R. Aronoff, Dinesh K. Chatoth, Jeffrey L. Hymes, Kevin J. Carroll, Gabriela Alperovich, Laurence H. Keller, Joan Perelló, Alex Gold, Glenn M. Chertow
Publikováno v:
EClinicalMedicine, Vol 75, Iss , Pp 102784- (2024)
Summary: Background: In the CALCIPHYX trial, we investigated hexasodium fytate, an inhibitor of vascular calcification, for the treatment of calcific uraemic arteriolopathy (calciphylaxis), a rare condition characterised by painful, non-healing skin
Externí odkaz:
https://doaj.org/article/ed79d86af030474a941e83bc9d1bd82e
Autor:
Adrián M. Guinsburg, Yue Jiao, María Inés Díaz Bessone, Caitlin K. Monaghan, Beatriz Magalhães, Michael A. Kraus, Peter Kotanko, Jeffrey L. Hymes, Robert J. Kossmann, Juan Carlos Berbessi, Franklin W. Maddux, Len A. Usvyat, John W. Larkin
Publikováno v:
BMC Nephrology, Vol 23, Iss 1, Pp 1-23 (2022)
Abstract Background We developed machine learning models to understand the predictors of shorter-, intermediate-, and longer-term mortality among hemodialysis (HD) patients affected by COVID-19 in four countries in the Americas. Methods We used data
Externí odkaz:
https://doaj.org/article/d0ee193e582e47619020a68cc6da9ace
Autor:
Linda H. Ficociello, DSc, Joanna Willetts, MS, Claudy Mullon, PhD, Chance Mysayphonh, PharmD, Ines A. Dahne-Steuber, MA, Curtis Johnson, MS, Melanie Pollan, PhD, Sandra Alexander, BS, Jeffrey G. Mulhern, MD, Robert J. Kossmann, MD, Michael S. Anger, MD, Jeffrey L. Hymes, MD
Publikováno v:
Kidney Medicine, Vol 4, Iss 3, Pp 100409- (2022)
Externí odkaz:
https://doaj.org/article/9db5a3f260784e88afe12f4f0c4b7900
Publikováno v:
Kidney International Reports. 8:392-396
Autor:
Volodymyr Novakivskyy, Roman Shurduk, Inna Grin, Taisiia Tkachenko, Nataliia Pavlenko, Anastasiia Hrynevych, Jeffrey L Hymes, Franklin W Maddux, Stefano Stuard
Publikováno v:
Clinical Kidney Journal. 16:676-683
In January 2021, there were 9648 patients in Ukraine on kidney replacement therapy, including 8717 on extracorporeal therapies and 931 on peritoneal dialysis. On 24 February 2022, foreign troops entered the territory of Ukraine. Before the war, the F
Autor:
Jeffrey Silberzweig, J. Ganesh Bhat, Mary O. Dittrich, Raghu Durvasula, Jeff Giullian, Jeffrey L. Hymes, Doug Johnson, Brigitte Schiller, Richard Spech, Leslie Spry, Geoffrey Scott Walker, Suzanne Watnick, Jerry Yee, Barry I. Freedman
Publikováno v:
Journal of the American Society of Nephrology : JASN. 33(8)
Autor:
Joanna Willetts, Linda H. Ficociello, Curtis D. Johnson, Sandra E. Alexander, Claudy Mullon, Jeffrey L. Hymes
Publikováno v:
Journal of Nephrology. 36:609-611
Autor:
Linda H Ficociello, Joanna Willetts, Claudy Mullon, Curtis Johnson, Michael S Anger, Jeffrey L Hymes
Publikováno v:
International Journal of Nephrology and Renovascular Disease. 15:319-321
Linda H Ficociello,1 Joanna Willetts,1 Claudy Mullon,1 Curtis Johnson,2 Michael S Anger,1 Jeffrey L Hymes1 1Global Medical Office, Fresenius Medical Care, Waltham, MS, USA; 2Spectra Laboratories, Southaven, MS, USACorrespondence: Jeffrey L Hymes, Fre
Autor:
John W. Larkin, Suman Lama, Sheetal Chaudhuri, Joanna Willetts, Anke C. Winter, Yue Jiao, Manuela Stauss-Grabo, Len A. Usvyat, Jeffrey L. Hymes, Franklin W. Maddux, David C. Wheeler, Peter Stenvinkel, Jürgen Floege
Gastrointestinal bleeding (GIB) is a clinical challenge in kidney failure. The INSPIRE group assessed if machine learning could assist with determining a hemodialysis (HD) patient’s 180-day GIB hospitalization risk. Model was developed using adult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::47c7c1e17df5436e85fe93471c74ef04
https://doi.org/10.1101/2023.01.31.23285098
https://doi.org/10.1101/2023.01.31.23285098