Development and validation of risk prediction model for refeeding syndrome in neurocritical patients.

ABSTRACT:

Background

The incidence of refeeding syndrome (RFS) in critically ill patients is high, which is detrimental to their prognoses. However, the current status and risk factors for the occurrence of RFS in neurocritical patients remain unclear. Elucidating these aspects may provide a theoretical basis for screening populations at high risk of RFS.

Methods

A total of 357 patients from January 2021 to May 2022 in a neurosurgery ICU of a tertiary hospital in China were included using convenience sampling. Patients were divided into RFS and non-RFS groups, based on the occurrence of refeeding-associated hypophosphatemia. Risk factors for RFS were determined using univariate and logistic regression analyses, and a risk prediction model for RFS in neurocritical patients was develope

SUBMITTER: Zhang W 

PROVIDER: S-EPMC9975392 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature