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Association between endothelial activation and stress index and 30-day mortality risk in acute myocardial infarction patients: a study based on the medical information mart for intensive care-IV database

Mingmin Sang, Xiaofeng Ma, Fangyi Zhu, Cunkui Zhu, Zuohua Ying

2024BMC Cardiovascular Disorders38 citationsDOIOpen Access PDF

Abstract

This study aimed to evaluate the association between the Endothelial Activation and Stress Index (EASIX) and 30-day mortality risk in acute myocardial infarction (AMI) patients. Using a retrospective cohort design, data were extracted from the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database between 2008 and 2019. Patients diagnosed with AMI at intensive care unit (ICU) admission were included. EASIX score was calculated as follows: lactate dehydrogenase (LDH) level (U/L) × creatinine level (mg/dL)/platelet count (109/L). Cox regression models assessed the association between EASIX and 30-day mortality, with subgroup analyses based on age, gender, AMI subtype, and sepsis status. A total of 1,036 patients were analyzed, among whom 323 did not survive beyond 30 days post-ICU admission. Higher EASIX scores were associated with increased 30-day mortality in AMI patients [Hazard ratio (HR): 1.70, 95% confidence interval (CI): 1.17–2.46, P = 0.005). Subgroup analyses supported these findings and revealed significant interactions between EASIX and variables such as gender and AMI subtype (P < 0.05). Elevated EASIX scores are significantly correlated with increased 30-day mortality risk in AMI patients, suggesting EASIX as a valuable prognostic tool that may inform clinical management strategies to improve outcomes in AMI. Not applicable.

Topics & Concepts

MedicineMyocardial infarctionHazard ratioInternal medicineIntensive care unitProportional hazards modelConfidence intervalRetrospective cohort studyAngiologyAcute coronary syndromeCoronary care unitMortality rateDatabaseComputer scienceSepsis Diagnosis and TreatmentCardiovascular Health and Disease PreventionAdipokines, Inflammation, and Metabolic Diseases