Development and validation using NHANES data of a predictive model for depression risk in myocardial infarction survivors

ABSTRACT:

Background

Depression after myocardial infarction (MI) is associated with poor prognosis. This study aimed to develop and validate a nomogram to predict the risk of depression in patients with MI.

Methods

This retrospective study included 1615 survivors of MI aged >20 years who were selected from the 2005–2018 National Health and Nutrition Examination Survey database. The 899 subjects from the 2005–2012 survey comprised the development group, and the remaining 716 subjects comprised the validation group. Univariate and multivariate analyses identified variables significantly associated with depression. The least absolute shrinkage and selection operator (LASSO) binomial regression model was used to select the best predictive variables.

Results

A full predictive m

SUBMITTER:  

PROVIDER: S-EPMC8814393 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature