Association of Glycemic Variability with Mortality among Septic Patients with Coronary Artery Disease: A Multicenter
Hongda Hou1,2, Zheng Guo3, Xueyan Wang1,2
1Institute of Infectious Diseases, The Second Hospital of Tianjin Medical University, Tianjin, China.
Insights
Higher glycemic variability (GV) significantly increases in-hospital mortality for septic patients with coronary artery disease (CAD). Managing GV may improve outcomes in this high-risk group.
Area of Science:
- Critical care medicine
- Cardiology
- Endocrinology
Background:
- Septic patients with coronary artery disease (CAD) have high mortality risks.
- Glycemic variability (GV) may worsen outcomes in these patients.
Purpose of the Study:
- To investigate the association between GV and mortality in septic patients with CAD.
- To analyze in-hospital and 1-year mortality in relation to GV.
Main Methods:
- Retrospective analysis of MIMIC-IV and THMDP databases.
- Inclusion of sepsis patients with CAD and at least three blood glucose measurements.
- Definition of GV using the coefficient of variation; categorization into quartiles.
- Application of Cox proportional hazards models and restricted cubic spline analyses.
Main Results:
- Higher GV was significantly associated with increased in-hospital mortality in both cohorts.
- Pooled analysis confirmed a significant link between higher GV and in-hospital mortality (adjusted HR 1.65).
- No significant association was found between GV and 1-year mortality.
Conclusions:
- Elevated glycemic variability is an independent predictor of in-hospital mortality in septic patients with CAD.
- GV management may be crucial for improving short-term outcomes in this population.
- Further research is needed to explore GV stabilization strategies.
Abstract:
BackgroundSeptic patients with coronary artery disease (CAD) face elevated mortality risks, potentially exacerbated by glycemic variability (GV). This study aimed to investigate the association between GV and in-hospital and 1-year mortality in septic patients with CAD.MethodsWe conducted a retrospective analysis using data from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database as the discovery cohort and the Tianjin Health and Medical Database Platform (THMDP) as the validation cohort. Patients with sepsis and CAD who had at least three blood glucose measurements during their ICU stay were included. Glycemic variability was defined as the coefficient of variation of blood glucose levels, categorized into quartiles (Q1-Q4). The primary outcome was in-hospital mortality, with 1-year mortality as a secondary outcome. Cox proportional hazards models were used to assess the association between GV and mortality.ResultsHigher GV was significantly associated with increased in-hospital mortality in both cohorts (MIMIC-IV: n = 2599) adjusted Hazard Ratio (HR) 4.06, 95% CI 1.72-9.58, P = 0.001; THMDP: n = 2,797, adjusted HR 1.56, 95% CI 1.25-1.93, P = 0.001). A pooled two-cohort analysis confirmed a significant association with in-hospital mortality (adjusted HR for Q4 vs Q1: 1.65, 95% CI 1.34-2.03, P = 0.001), while the association with 1-year mortality was weaker (adjusted HR 1.24, 95% CI 0.89-1.73, P = 0.204). Restricted cubic spline (RCS) analyses revealed a nonlinear relationship between GV and in-hospital mortality (P for nonlinearity < 0.001). Kaplan-Meier (KM) survival curves showed reduced survival probability in the highest GV group.ConclusionsHigher GV is independently associated with increased in-hospital mortality among septic patients with CAD, but no significant association was found with 1-year mortality. These findings suggest that stabilizing GV may be a critical area for clinical management and warrants further investigation. Monitoring and managing GV may improve outcomes in this patient population.
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