[Glycemic variability and short-term outcome in critically ill]

Area of Science:

• Critical Care Medicine
• Endocrinology
• Medical Statistics

Background:

• Blood glucose variability is a concern in critically ill patients.
• Understanding its impact on short-term outcomes is crucial for patient management.

Purpose of the Study:

• To analyze the association between blood glucose variability and short-term outcomes in critically ill patients.
• To evaluate the predictive value of different glycemic metrics and the APACHE II score for prognosis.

Main Methods:

• A retrospective study of 552 critically ill patients.
• Recorded initial blood glucose (GluAdm), 24-hour average glucose (GluMV1d), 72-hour average glucose (GluMV3d), and glycemic lability indices (GLI1d, GLI3d).
• Utilized Receiver Operating Characteristic (ROC) curve analysis to assess the association with prognosis.

Main Results:

• Nonsurvivors had significantly higher APACHE II scores, GluAdm, GLI1d, and GLI3d compared to survivors.
• GLI1d and GLI3d demonstrated significant predictive value (AUCs 0.726-0.786) for prognosis, outperforming average glucose measures (AUCs 0.412-0.425).
• Glycemic variability metrics showed correlation with 28-day mortality, ICU days, and hospitalization duration.

Conclusions:

• Blood glucose variability is closely linked to mortality in critically ill patients.
• Glycemic Lability Index (GLI1d, GLI3d) and APACHE II score possess similar predictive capabilities for short-term prognosis.