Development and validation of a nomogram for predicting depression risk in patients with chronic kidney disease based on NHANES 2005-2018.

ABSTRACT:

Background

Depression is common among patients with chronic kidney disease (CKD) and is associated with poor outcomes. This study aims to develop and validate a nomogram for predicting depression risk in patients with CKD.

Methods

This cross-sectional study utilized data from the 2005-2018 National Health and Nutrition Examination Survey (NHANES) database. Participants were randomly divided into training and validation sets (7:3 ratio). A nomogram was developed based on predictors identified using Least Absolute Shrinkage and Selection Operator (LASSO) regression and multivariate logistic regression. Model performance was evaluated using ROC curves, calibration curves, and decision curve analysis.

Results

A total of 4414 participants were included. Gender, age, race,

SUBMITTER: Yan Q 

PROVIDER: S-EPMC12023547 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature