دورية أكاديمية

Prediction models for the recipients’ ideal perioperative estimated glomerular filtration rates for predicting graft survival after adult living-donor kidney transplantation

التفاصيل البيبلوغرافية
العنوان: Prediction models for the recipients’ ideal perioperative estimated glomerular filtration rates for predicting graft survival after adult living-donor kidney transplantation
المؤلفون: Takahisa Hiramitsu, Yuki Hasegawa, Kenta Futamura, Manabu Okada, Yutaka Matsuoka, Norihiko Goto, Toshihiro Ichimori, Shunji Narumi, Asami Takeda, Takaaki Kobayashi, Kazuharu Uchida, Yoshihiko Watarai
المصدر: Frontiers in Medicine, Vol 10 (2023)
بيانات النشر: Frontiers Media S.A., 2023.
سنة النشر: 2023
المجموعة: LCC:Medicine (General)
مصطلحات موضوعية: cross-validation, estimated glomerular filtration rate, graft survival, living-donor kidney transplantation, prediction model, Medicine (General), R5-920
الوصف: IntroductionThe impact of the perioperative estimated glomerular filtration rate (eGFR) on graft survival in kidney transplant recipients is yet to be evaluated. In this study, we developed prediction models for the ideal perioperative eGFRs in recipients.MethodsWe evaluated the impact of perioperative predicted ideal and actual eGFRs on graft survival by including 1,174 consecutive adult patients who underwent living-donor kidney transplantation (LDKT) between January 2008 and December 2020. Prediction models for the ideal perioperative eGFR were developed for 676 recipients who were randomly assigned to the training and validation sets (ratio: 7:3). The prediction models for the ideal best eGFR within 3 weeks and those at 1, 2, and 3 weeks after LDKT in 474 recipients were developed using 10-fold validation and stepwise multiple regression model analyzes. The developed prediction models were validated in 202 recipients. Finally, the impact of perioperative predicted ideal eGFRs/actual eGFRs on graft survival was investigated using Fine–Gray regression analysis.ResultsThe correlation coefficients of the predicted ideal best eGFR within 3 weeks and the predicted ideal eGFRs at 1, 2, and 3 weeks after LDKT were 0.651, 0.600, 0.598, and 0.617, respectively. Multivariate analyzes for graft loss demonstrated significant differences in the predicted ideal best eGFR/actual best eGFR within 3 weeks and the predicted ideal eGFRs/actual eGFRs at 1, 2, and 3 weeks after LDKT.DiscussionThe predicted ideal best eGFR/actual best eGFR within 3 weeks and the predicted ideal eGFRs/actual eGFRs at 1, 2, and 3 weeks after LDKT were independent prognostic factors for graft loss. Therefore, the perioperative predicted ideal eGFR/actual eGFR may be useful for predicting graft survival after adult LDKT.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2296-858X
Relation: https://www.frontiersin.org/articles/10.3389/fmed.2023.1187777/full; https://doaj.org/toc/2296-858X
DOI: 10.3389/fmed.2023.1187777
URL الوصول: https://doaj.org/article/74ce6300972e45a3aaa742a7126be05c
رقم الأكسشن: edsdoj.74ce6300972e45a3aaa742a7126be05c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2296858X
DOI:10.3389/fmed.2023.1187777