Score-based prediction model for severe vitamin D deficiency in patients with critical illness: development and validation.

ABSTRACT:

Background

Severe vitamin D deficiency (SVDD) dramatically increases the risks of mortality, infections, and many other diseases. Studies have reported higher prevalence of vitamin D deficiency in patients with critical illness than general population. This multicenter retrospective cohort study develops and validates a score-based model for predicting SVDD in patients with critical illness.

Methods

A total of 662 patients with critical illness were enrolled between October 2017 and July 2020. SVDD was defined as a serum 25(OH)D level of < 12 ng/mL (or 30 nmol/L). The data were divided into a derivation cohort and a validation cohort on the basis of date of enrollment. Multivariable logistic regression (MLR) was performed on the derivation cohort to generate a predictive mod

SUBMITTER: Kuo YT 

PROVIDER: S-EPMC9768894 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature