Out-of-hospital cardiac arrest (OHCA) is frequently triggered by acute myocardial ischemia. Coronary angiography is an important component of post-resuscitation care for patients with OHCA without an evident noncardiac cause, to identify underlying coronary artery disease and allow revascularization. Most patients undergoing coronary angiography after OHCA have obstructive coronary artery disease, and nearly one-half of patients have acute coronary occlusion. Early coronary angiography and percutaneous coronary intervention after OHCA have been associated with improved survival in observational studies, but these studies demonstrate selection bias, and randomized trials are lacking. Selection of patients for coronary angiography after OHCA can be challenging, particularly in comatose patients whose outcomes are driven primarily by anoxic brain injury. As for other patients with acute coronary syndromes, patients with ST-segment elevation after OHCA have a high probability of acute coronary occlusion warranting emergent coronary angiography. Patients with cardiogenic shock after OHCA are a high-risk population also requiring emergent coronary angiography. Among patients in stable condition after OHCA without ST-segment elevation, other clinical predictors can be used to identify those needing early coronary angiography to identify obstructive coronary artery disease. Despite the challenges with early neurological prognostication in comatose patients with OHCA, those with multiple objective markers of poor prognosis appear less likely to benefit from revascularization, and early coronary angiography may be reasonably deferred in appropriately selected patients meeting these criteria. The authors propose an algorithm to guide patient selection for coronary angiography after OHCA that combines clinical predictors of acute coronary occlusion and early clinical predictors of severe brain injury.
