
pmid: 25499711
Rapid and objective preoperative assessment of patients undergoing carotid endarterectomy (CEA) remains problematic. Preoperative variables correlate with increased morbidity and mortality, yet no easily implemented tool exists to stratify patients. We determined the relationship between our fully implemented frailty-based bedside Risk Analysis Index (RAI) and complications after CEA.Patients undergoing CEA in the American College of Surgeons National Surgical Quality Improvement Program (NSQIP) database from 2005 to 2011 were included. Variables of frailty RAI were matched to preoperative NSQIP variables, and outcomes including stroke, mortality, myocardial infarction (MI), and length of stay were analyzed. We further analyzed patients who were symptomatic and asymptomatic before CEA.With use of the NSQIP database, 44,832 patients undergoing CEA were analyzed (17,696 [39.5%] symptomatic; 27,136 [60.5%] asymptomatic). Increasing frailty RAI score correlated with increasing stroke, death, and MI (P 10], 5.0%). Among patients undergoing CEA, 88% scored low (21, 8.6%. In asymptomatic patients, the risk of stroke and death for patients with a score of ≤10 is 1.6%, whereas if the RAI score is 11 to 15, it is 2.9%; 16 to 20, 5.2%; and >21, 6.2%.Frailty is a predictor of increased stroke, mortality, MI, and length of stay after CEA. An easily implemented RAI holds the potential to identify a limited subset of patients who are at higher risk for postoperative complications and may not benefit from CEA.
Carotid Artery Diseases, Male, Time Factors, Databases, Factual, Health Status, Myocardial Infarction, Endarterectomy, Risk Assessment, Decision Support Techniques, Databases, Predictive Value of Tests, Risk Factors, 80 and over, Health Status Indicators, Humans, Factual, Carotid, Aged, Aged, 80 and over, Endarterectomy, Carotid, Patient Selection, Length of Stay, Middle Aged, United States, Stroke, Treatment Outcome, Asymptomatic Diseases, Surgery, Female, Cardiology and Cardiovascular Medicine
Carotid Artery Diseases, Male, Time Factors, Databases, Factual, Health Status, Myocardial Infarction, Endarterectomy, Risk Assessment, Decision Support Techniques, Databases, Predictive Value of Tests, Risk Factors, 80 and over, Health Status Indicators, Humans, Factual, Carotid, Aged, Aged, 80 and over, Endarterectomy, Carotid, Patient Selection, Length of Stay, Middle Aged, United States, Stroke, Treatment Outcome, Asymptomatic Diseases, Surgery, Female, Cardiology and Cardiovascular Medicine
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