Introduction:

The synergetic evaluation of the hyperglycemia and the white blood count as leukoglycemic index (LGI) joins a bigger number of adverse events during the internment in patients with ST Elevation Myocardial Infarction (STEMI).

Objective:

To evaluate the predictive value of the leukoglycemic index (LGI) in the appearing of in-hospital complications in ST-elevation myocardial infarction (STEMI).

Method:

Multicentral and historic cohort study, which included 1133 patients inserted in the Cuban Registry of Acute Myocardial Infarction, among January 2018 and June 2021. Patients were divided in quartiles and in groups according to the optimal cut-point calculated for the LGI.

Results:

Optimal cut-point of the ILG to predict complications was 1188.4 (sensibility 61.4%; specificity 57.3%; area under curve 0.609; p < 0.001). The appearing of in-hospital complications was significantly increased in the LGI’s quartiles; as well as in the two groups according to cut-point. The analysis of logistic regression revealed that the LGI was an independent predictor of in-hospital complications (OR [IC 95%] = 1.27 [1.11-1.46]; p = 0.001). When the LGI was associated to the multivariate model, its predictive capability was rose (area under curve 0.813; p < 0.001). Kaplan Meier’s curves showed significant differences among groups of patient (p = 0.030).

Conclusions:

The LGI is an independent predictor of appearing of in-hospital complications in STEMI. The addition of the LGI to a basal model of risk has a strong positive effect in the prediction of adverse prognosis in patients with STEMI.

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