Serum Anion Gap at Admission Predicts All-Cause Mortality in Critically Ill Patients with Cerebral Infarction: Evidence from the MIMIC-III Database.

BACKGROUND Recent studies reported that serum anion gap could be regarded as a prognostic biomarker for patients admitted to intensive care units. However, the association between AG and mortality in cerebral infarction patients remained largely unknown. METHODS Relevant clinical data were collected from Medical Information Mart for Intensive Care III. Patients were divided into three groups according to tertiles of AG. Kaplan-Meier curve and Cox proportional hazards models were used to evaluate the association between AG levels and all-cause mortality. Subgroup analyses were performed to verify the predictive role of AG on mortality. RESULTS Kaplan-Meier analysis showed that patients with higher AG had shorter survival time. Cox regression model indicated high AG as an independent risk factor of 30-day, 60-day and 180-day all-cause mortality (30-day: HR =2.45, 95% CI =1.21 - 4.97, 60-day: HR =2.04, 95% CI =1.07 - 3.89, and 180-day: HR =1.85, 95% CI =1.02 - 3.36). However, no significance was observed between AG and 365-day all-cause mortality (HR =1.56, 95% CI =0.87 - 2.78). CONCLUSIONS High AG was associated with increased risk of all-cause mortality, and AG could be an independent short-term prognostic factor for cerebral infarction.