Abstract 18895: Myocardial Injury After Non-Cardiac Surgery (MINS) in the High Sensitivity Troponin Era: Current Trends of Preoperative Risk Stratification in a Large Urban Healthcare System

Introduction: Myocardial Injury after Non-Cardiac Surgery (MINS) is a significant cause of perioperative morbidity and mortality. Recognizing and understanding the patient characteristics and potential predictors of MINS can contribute to more effective patient risk stratification and management. Hypothesis: Certain preoperative risk factors are associated with a higher risk of developing MINS among patients undergoing noncardiac surgery. Methods: We retrospectively reviewed the data on 2458 noncardiac surgeries performed within the MedStar System between 2022-2023 in which patients underwent routine pre- and postoperative high sensitivity troponin I (hsTnI) and EKG monitoring over 72 hours. MINS was defined as any elevation in hsTnI >99 th percentile for gender (>34 ng/L: females, >53 ng/L :males). Multivariable logistic regression models were used to identify the factors associated with MINS which included demographics, surgical details, comorbidities, relevant preoperative labs and vitals. Results: Out of the 2,458 patients, 889 (36%) were diagnosed with MINS. Patients with MINS were older, nonsmokers, and females with prior congestive heart failure (CHF), coronary artery disease (CAD), chronic kidney disease (CKD), atrial fibrillation, and preoperatively lower blood pressure and higher creatinine compared to patients without MINS (Table 1). In multivariable adjusted models, CHF [aOR=1.6, 95%CI: (1.1, 2.3)], CAD [aOR=2.1(14, 2.9)], CKD [aOR=1.4(1.2, 1.8)] were associated with higher odds of developing MINS. RCRI score was not associated with postop MINS. Figure 1 shows rates of developing MINS among surgical specialties. Conclusions: Our study demonstrates that risk factors including age, gender, pre-existing cardiovascular and renal disease, preoperative blood pressure, and certain surgery types are associated with MINS. Research is needed to further define how to utilize this information to identify and minimize the risk of MINS.