Predictive survival models for resuscitated victims of out-of-hospital cardiac arrest with coronary heart disease
- PMID: 3986977
- DOI: 10.1161/01.cir.71.5.873
Predictive survival models for resuscitated victims of out-of-hospital cardiac arrest with coronary heart disease
Abstract
Resuscitated victims of cardiac arrest with coronary heart disease represent a group of patients with an accelerated mortality rate. Among 227 such patients in our follow-up study, 20% had died at 1 year and 50% were dead in slightly over 3 years. Predictors of death were related to use of digitalis, elevated blood urea nitrogen, cerebral vascular accident, previous myocardial infarction, and age. In a subset of 103 patients in whom ambulatory electrocardiographic recordings were available within 3 months of the arrest event, the presence of complexity and high-frequency ventricular premature beats (VPBs) (greater than or equal to 25/hr) were added to the mortality predictors of digitalis and diuretic therapy and elevated blood urea nitrogen. An almost equal number of patients died suddenly and nonsuddenly. Predictors of sudden death were treatment with quinidine and paired VPBs. Occurrence of arrhythmias was an important addition to the previous mortality predictors related to left ventricular dysfunction.
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