Prediction of Patient Death due to Sudden Cardiac Arrest with Left Ventricular Dysfunction by Analyzing the Value of BNP: a Prospective Longitudinal Study

Abstract

Aim: The purpose of this study was to predict the patient’s death due to sudden cardiac arrest with left ventricular dysfunction by analyzing the value of BNP Study design: Prospective longitudinal study Place and duration: This study was conducted at Karachi institute of heart diseases Karachi, Pakistan from Feb 2020 to Feb 2021 Methodology: This cross sectional study was conducted from Feb 2020 to Feb 2021 on 70 patients who were pin pointed with acute STEMI complicated by left ventricular systolic failure and hospitalized in our hospital. A total of 70 patients who were recognized with STEMI, 48 of whom got primary PCI, and 17 of whom received thrombolytic treatment. Results: The average age of the patients was 57.6 years and the range being from 35 to 80 years. Male patients constituted 73.3 percent of the study. It was discovered a mean of NYHA of 2.5, an average Killip classification of 2.8 and an average TIMI score of 8.1. A 90-day follow-up showed that 48 patients survived out of which 7 were reported to have a life-threatening arrhythmia and 12 had sickle cell disease. When ROC curve was shown, Pro-BNP indicated Sc.D. and unanticipated cardiac death was forecasted which also stipulated an AUC of 0.76, while the AUC was 69.6 percent of the ROC curve of the same neuropeptide in evaluating accuracy in prediction of VT, by. A Kaplan-Meier analysis reveals that an increase in pro-BNP over 3.2ng/ml has a significant predictive influence on SCD [OR 0.748 (CI 95 percent: 0.07-0.932), p-value .039] Conclusion: BNP levels in individuals with ischemic cardiomyopathy after an acute MI are a significant, independent predictor of sudden death. Keywords: BNP levels, ischemic cardiomyopathy, sudden death, myocardial infarction