Publications by authors named "Annia M Carrero-Vazquez"
Article Synopsis
- Ischemic cardiopathy is the leading global cause of death, and this study investigates the leukoglycemic index's ability to predict in-hospital complications for patients with ST elevation myocardial infarction.
- The research analyzed 900 patients using logistic regression and identified an optimal leukoglycemic index cut point of 1188, which indicated higher risks for complications. The predictive model includes age, leukoglycemic index, Killip-Kimball classification, and hypertension history.
- Although the leukoglycemic index has limited predictive power, the proposed model shows strong potential for estimating in-hospital complications and could be beneficial for health systems in developing countries at no extra cost.
Introduction: The triglyceride-glucose (TyG) index is considered a new marker of insulin resistance, and is associated with the development of cardiovascular diseases.
Objective: To evaluate the capability of TyG index to predict in-hospital -mortality in patients with acute ST-elevation myocardial infarction.
Methods: Multicenter cohort study that enrolled 1123 patients included in the Cuban Registry of Acute Myocardial Infarction between January 2018 and June 2021.