The Journal of invasive cardiology
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Multicenter Study
The role of out-of-hospital cardiac arrest in predicting hospital mortality for percutaneous coronary interventions in the Clinical Outcomes Assessment Program.
Published mortality models for percutaneous coronary intervention (PCI), including the Clinical Outcomes Assessment Program (COAP) model, have not considered the effect of out-ofhospital cardiac arrest. The primary objective of this study was to determine if the inclusion of out-of-hospital cardiac arrest altered the COAP mortality model for PCI. The COAP PCI database contains extensive demographic, clinical, procedural and outcome information, including out-of-hospital cardiac arrest, which was added to the data collection form in 2006. ⋯ In the new multivariate model, out-of-hospital cardiac arrest was highly associated with mortality (odds ratio = 5.50; 95% confidence interval [CI] = 3.28-9.25). When evaluated in the test set, the new model had excellent discrimination (c-statistic = 0.89; 95% CI = 0.85-0.93). Out-of-hospital cardiac arrest is an important determinant of risk-adjusted in-hospital mortality for PCI, particularly for hospitals with low volumes and relatively high volumes of cardiac arrest cases.
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Cerebral hyperperfusion syndrome (HPS) results from autoregulatory failure of cerebral blood flow following carotid endarterectomy (CEA) or carotid artery stenting (CAS) and encompasses a range of neurological findings including headache, seizure, intracranial hemorrhage (ICH), altered mental status and focal neurological changes. This report is the largest single-operator series evaluating the incidence and predictors of HPS following CAS. ⋯ The incidence of HPS is low (1.45%) following CAS, but it is an important complication to distinguish from stroke and TIA. Patients with a recent TIA may be predisposed to HPS. This report may underestimate the incidence of HPS, since patients with an isolated headache did not meet our diagnostic criteria and routine post-procedure brain CT imaging was not performed. The clinical predictors of HPS and its optimum management remain to be determined.