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Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression

التفاصيل البيبلوغرافية
العنوان: Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox’s Regression
المؤلفون: Leandro Magga, Simón Maturana, Marcelo Olivares, Martín Valdevenito, Josefa Cabezas, Javier Chapochnick, Fernando González, Alvaro Kompatzki, Hans Müller, Jacqueline Pefaur, Camilo Ulloa, Ricardo Valjalo
المصدر: Medicina, Vol 58, Iss 10, p 1348 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Medicine (General)
مصطلحات موضوعية: kidney transplantation, risk prediction, graft survival, regularized models, Elastic Net, Medicine (General), R5-920
الوصف: Background and Objectives: We developed a predictive statistical model to identify donor–recipient characteristics related to kidney graft survival in the Chilean population. Given the large number of potential predictors relative to the sample size, we implemented an automated variable selection mechanism that could be revised in future studies as more national data is collected. Materials and Methods: A retrospective multicenter study was conducted to analyze data from 822 adult kidney transplant recipients from adult donors between 1998 and 2018. To the best of our knowledge, this is the largest kidney transplant database to date in Chile. A procedure based on a cross-validated regularized Cox regression using the Elastic Net penalty was applied to objectively identify predictors of death-censored graft failure. Hazard ratios were estimated by adjusting a multivariate Cox regression with the selected predictors. Results: Seven variables were associated with the risk of death-censored graft failure; four from the donor: age (HR = 1.02, 95% CI: 1.00–1.03), male sex (HR = 0.64, 95% CI: 0.46–0.90), history of hypertension (HR = 1.49, 95% CI: 0.98–2.28), and history of diabetes (HR = 2.04, 95% CI: 0.97–4.29); two from the recipient: years on dialysis log-transformation (HR = 1.29, 95% CI: 0.99–1.67) and history of previous solid organ transplantation (HR = 2.02, 95% CI: 1.18–3.47); and one from the transplant: number of HLA mismatches (HR = 1.13, 95% CI: 0.99–1.28). Only the latter is considered for patient prioritization in deceased kidney allocation in Chile. Conclusions: A risk model for kidney graft failure was developed and trained for the Chilean population, providing objective criteria which can be used to improve efficiency in deceased kidney allocation.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1648-9144
1010-660X
Relation: https://www.mdpi.com/1648-9144/58/10/1348; https://doaj.org/toc/1010-660X; https://doaj.org/toc/1648-9144
DOI: 10.3390/medicina58101348
URL الوصول: https://doaj.org/article/45f111a3e67a4e0f9e22f86c995263c5
رقم الأكسشن: edsdoj.45f111a3e67a4e0f9e22f86c995263c5
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:16489144
1010660X
DOI:10.3390/medicina58101348