Background
Sudden cardiac arrest (SCA) risk increases after myocardial infarction (MI) in patients with a reduced ejection fraction (EF). However, the risk factors for SCA among patients with a postâMI EF >35% remain poorly understood.
Methods and Results
Using the Optum deâidentified electronic health record data set from 2008 to 2017, we identified patients with an incident MI diagnosis and troponin elevation who had a postâMI EF >35% and underwent coronary angiography. Primary outcome was SCA within 1 year postâMI. The database was divided into derivation (70%) and validation (30%) cohorts by random selection. Cox proportional hazard regression was used to generate and validate a risk prediction model. Among 31Â 286 patients with an MI (median age 64.1; 39% female; 87% White), 499 experienced SCA within 1 year postâMI (estimated probability 1.8%). Lack of revascularization at MI, postâMI EF <50%, Black race, renal failure, chronic obstructive pulmonary disease, antiarrhythmic therapy, and absence of beta blocker therapy were independent predictors of SCA. A multivariable model consisting of these variables predicted SCA risk (Câstatistic 0.73). Based on this model, the estimated annual probability of SCA was 4.4% (95% CI, 3.9â4.9) in the highest quartile of risk versus 0.6% (95% CI, 0.4â0.8) in the lowest quartile.
Conclusions
Patients with a postâMI EF >35% have a substantial annual risk of SCA. A risk model consisting of acute coronary revascularization, EF, race, renal failure, chronic obstructive pulmonary disease, antiarrhythmic therapy, and beta blocker therapy can identify patients with higher risk of SCA, who may benefit from further risk stratification and closer monitoring.