A prediction model for ventricular arrythmias in the acute phase of infarction

Abstract

Abstract Funding Acknowledgements Type of funding sources: None. Introduction The incidence of ventricular tachycardia (VT) and ventricular fibrillation (VF) in the acute phase of infarction (first 24-48 hours) has declined over recent decades, probably due to the uptake of reperfusion strategies and the early use of beta-blockers. However, according to some series, 6–8% of patients still develop hemodynamically significant VT or VF during this phase. Purpose The objective of our study was to evaluate the baseline characteristics of patients who suffered VT or VF in the acute phase of the infarction and to create a predictive model of ventricular arrhythmias in this setting which allow us to anticipate arrhythmic events. Methods We performed an observational, retrospective, and single-centre study carried out through the review of clinical records of patients who suffered an acute myocardial infarction with ST-segment elevation (STEMI) and were admitted in our Coronary Care Unit between July 2011 and August 2022. Results In our cohort we observed 179 episodes of VT/VF (10,7%) in a population of 1668 patients underwent STEMI. The mean age in this subgroup was 61,69±12,61 years old, 78% were males and 56% smokers. Approximately a quarter of the patients were diabetic or obese. There was a very low percentage of previous myocardial infarction (12%) and heart failure (3%) (Table 1). We estimated the best prediction model (Mallows’ Cp=5.12) for VT/VF. The variables included in our model (LL=-435,43) were: male sex, absence of diabetes, smoking habit, use of fibrinolysis, worst Killip at admission and hypotension at admission (Table 2). Conclusion The presence of VT or VF in the acute phase of infarction is still considered a controversial factor in the prognosis of these patients. In our cohort we identified that males, smokers, non-diabetics, and the use of fibrinolysis and the worst haemodynamical situation at admission were independent predictors of developing VT/VF in this context.