Stress hyperglycemia ratio and machine learning model for prediction of all-cause mortality in patients undergoing cardiac surgery.
Journal:
Cardiovascular diabetology
PMID:
39955587
Abstract
BACKGROUND: The stress hyperglycemia ratio (SHR) was developed to reduce the effects of long-term chronic glycemic factors on stress hyperglycemia levels, which was associated with adverse clinical outcomes. This study aims to evaluate the relationship between the postoperative SHR index and all-cause mortality in patients undergoing cardiac surgery.
Authors
Keywords
Aged
Biomarkers
Blood Glucose
Cardiac Surgical Procedures
Cause of Death
Databases, Factual
Decision Support Techniques
Female
Hospital Mortality
Humans
Hyperglycemia
Machine Learning
Male
Middle Aged
Predictive Value of Tests
Retrospective Studies
Risk Assessment
Risk Factors
Stress, Physiological
Time Factors
Treatment Outcome