Development Of the VAMPCT Score for Predicting Mortality in CKD Patients with COVID-19.

ABSTRACT: Background: Chronic kidney disease (CKD) patients with coronavirus disease 2019 (COVID-19) are at significant risk of death. However, clinical identification of high-risk individuals remains suboptimal despite the recognition of many pathophysiological and comorbidity-related risk factors. We aim to develop a clinically simple machine learning (ML)-based score to predict acute COVID-19 mortality among CKD patients. Methods: CKD inpatients with COVID-19 were prospectively enrolled from December 2022 to January 2023 with a three-month follow-up. Feature selection from clinical and laboratory results was performed through least absolute shrinkage and selection operator and stepwise selection. Logistic regression, support vector machine (SVM), random forest, and extreme gradient

SUBMITTER: Li C 

PROVIDER: S-EPMC12163619 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature