Prognostic Value of the Leuko-Glycemic Index in Acute Myocardial Infarction Patients with or without Diabetes

Purpose: The leuko-glycaemic index (LGI) is an index that combines white blood cell count and blood glucose and could be a marker of systemic inflammatory response syndrome. The prognostic value of the LGI in acute myocardial infarction (AMI) is still unclear. We aimed to investigate the prognostic value of the LGI for short-and long-term prognosis in AMI patients with different diabetic status. Patients and Methods: This was an observational, multicenter study involving 1256 AMI patients admitted in 11 hospitals between March 2014 and June 2019 in Chengdu. White blood cell count and blood glucose were measured on admission. The LGI was calculated by multiplying both values and dividing them by a thousand. Logistic regression was used to explore the predictive value of LGI in in-hospital mortality. Receiver operating characteristic curve was used to determine the optimal cut-off values of the LGI to predict in-hospital mortality. The patients were classified into diabetic and non-diabetic groups and further divided into higher and lower LGI subgroups according to the optimal cut-off values. The endpoints were all-cause mortality during the hospitalization and major adverse cardiovascular and cerebrovascular events (MACCE) during follow-up, including all-cause mortality, non-fatal myocardial infarction, vessel revascularization and non-fatal stroke. Results: LGI was an independent predictor of all-cause mortality during the hospitalization in non-diabetics, but not in diabetics. The optimal cut-off values of diabetics and non-diabetics were 3593 mg/dl. mm3 and 1402 mg/dl. mm3, respectively. Whether diabetics or not, in-hospital mortality was higher in the higher LGI subgroup (p-value < 0.001). And in the follow-up of 15 months (9 months, 22 months), we observed 99 (8.6%), 6 (0.5%), 54 (4.7%) and 29 (2.5%) cases of death, non-fatal MI, revascularization and non-fatal stroke, respectively. The cumulative incidence of MACCE during follow-up was higher in the higher LGI subgroup, both in the diabetics and non-diabetics (p-value < 0.05). In non-diabetics, higher LGI was an independent predictor of MACCE. Conclusion: LGI was an independent predictor for short-and long-term prognosis in AMI patients without diabetes, but had no prognostic value for short-and long-term prognosis of AMI patients with diabetes.