Objective:To investigate the predictive value of albumin corrected anion gap(ACAG)in prognosis of patients with acute myocardial infarction(AMI),and to provide evidence for the application of ACAG in risk stratification of these patients.Methods:The clinical data of AMI patients were extracted from Medical Information Mart for Intensive Care(MIMIC-Ⅳ),and the 30-day all-cause death was taken as the primary outcome.All patients were divided into three groups according to the ACAG value.Kaplan-Meier method was used to construct the survival curve,and then Cox risk proportional regression model was used to explore the relationship between ACAG and main outcome indicators while adjusting for confounding factors through multivariate regression analysis.In addition,the area under the curve(AUC)of receiver operating characteristic curve(ROC)was used to evaluate the predictive value of ACAG for AMI patients.Results:A total of 1 838 AMI patients were collected.After constructing the survival curve,it was found that there was a significant difference in the survival rate among the three groups(P<0.001).After multivariate correction by Cox proportional regression model,the effect of ACAG elevation on survival outcome was statistically significant(both P<0.001),both as a quantitative variable and as a grouping variable.ROC curves showed that ACAG showecl a higher predictive value for 30-day death compared with AG and albumin,and the differences were statistically significant(both P<0.001).Conclusion:Elevated ACAG is an independent predictor of 30-day all-cause death for AMI patients.
acute myocardial infarctionalbumin correction anion gapMedical Information Mart for Intensive Careprognosis
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