Association between stress-induced hyperglycemia ratio and sepsis risk in patients admitted to ICU

Sepsis is a life-threatening condition characterized by a dysregulated host immune response to infection. Currently, stress hyperglycemia is frequently associated with an unfavorable prognosis in cardiovascular and cerebrovascular disease. During sepsis, the progression of the immune response and inflammation often leads to aberrant metabolic indicators. However, the association between the stress-induced hyperglycemia ratio (SHR) and sepsis in patients admitted to the intensive care unit (ICU) remains uncertain.

This study aimed to explore the potential correlation between SHR and sepsis.

In this retrospective cohort study, data were obtained from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database. Patients with recorded glucose and glycosylated HbA1c levels within 24-h ICU admission were identified. The endpoints of the follow-up period were the occurrence of sepsis during ICU stay or ICU discharge. After adjustment for factors including demographics, vital signs and biochemical indicators, the univariate and multivariate logistic regression model was employed to examine the relationship between SHR, baseline blood glucose levels and the risk of sepsis. The associations were further explored in subgroups based on age, gender and presence/absence of type 2 diabetes.

Of the total 2,161 patients, with the average age of 64.96 ±16.84 years, 205 (9.49%) had sepsis. After adjustment or confounders, high SHR levels were associated with the risk of sepsis odds ratio (OR) = 1.53, 95% confidence interval (95% CI): 1.07-2.17). Similar results were found in patients aged ≥65 years (OR = 1.91, 95% CI: 1.16-3.17), in men (OR = 1.64, 95% CI: 1.02-2.63) and patients without type 2 diabetes history (OR = 1.58, 95% CI: 1.01-2.48). The baseline blood glucose level did not exhibit a significant association with the risk of sepsis.

Elevated SHR levels were correlated with sepsis. Bedside monitoring of SHR may be a valuable tool for clinicians to identify patients at high risk of sepsis, and be beneficial to promptly implement clinical interventions.