Ontology highlight
ABSTRACT: Background
Mitral valve disease is associated with higher cardiovascular morbidity and mortality. Glycemic variability (GV), reflecting blood glucose fluctuations, acts as an independent indicator for results in critically ill patients. However, it's effect on patients in the ICU with mitral valve disease is unclear.Methods
All blood glucose measurements of patients with mitral valve disease were extracted from MIMIC-IV database. GV was assessed using the coefficient of variation of glucose levels. Cox hazard regression models and restrictive cubic spline (RCS) were applied to examine the link between GV and outcomes. A threshold effect analysis was also conducted to explore potential inflection points. Subgroup analyses were performed to assess consistency across demograph
SUBMITTER: Peng J
PROVIDER: S-EPMC12301203 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature