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ABSTRACT: Background
Chronic kidney disease (CKD) is a serious public health problem in China that requires the development and verification of sex-specific 3-year risk prediction models and nomograms of CKD to further guide personalized care.Methods
A 3-year community-based observational cohort study of 10,049 Chinese participants without CKD was begun in 2016 and participants were followed until August 2020. Stepwise multivariable-adjusted Cox regression analyses were conducted to select the candidate variables, including demographics and clinical parameters such as blood urea nitrogen (BUN) and estimated glomerular filtration rate (eGFR), into the prediction model. We used the C-statistic to evaluate discrimination, and the Brier score for calibration. A 10-fold cross-validation wa
SUBMITTER: Yu Y
PROVIDER: S-EPMC8667118 | biostudies-literature | 2021 Nov
REPOSITORIES: biostudies-literature