Developing and validating a prognostic prediction model for patients with chronic kidney disease stages 3-5 based on disease conditions and intervention methods: a retrospective cohort study in China.

ABSTRACT:

Objectives

To develop and validate a nomogram model to predict chronic kidney disease (CKD) stages 3-5 prognosis.

Design

A retrospective cohort study. We used univariate and multivariate Cox regression analysis to select the relevant predictors. To select the best model, we evaluated the prediction models' accuracy by concordance index (C-index), calibration curve, net reclassification index (NRI) and integrated discrimination improvement (IDI). We evaluated the clinical utility by decision curve analysis.

Setting

Chronic Disease Management (CDM) Clinic in the Nephrology Department at the Guangdong Provincial Hospital of Chinese Medicine.

Participants

Patients with CKD stages 3-5 in the derivation and validation cohorts were 459 and 326, respectively.

Primar

SUBMITTER: Zhang M 

PROVIDER: S-EPMC9153056 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature