Predicting risk of perioperative death and stroke after carotid endarterectomy in asymptomatic patients: derivation and validation of a clinical risk score.
OBJECTIVE
National guidelines on carotid endarterectomy (CEA) for asymptomatic patients state that the procedure should be performed with a ≤ 3% risk of perioperative death or stroke. We developed and validated a multivariate model of risk of death or stroke within 30 days of CEA for asymptomatic disease and a related clinical prediction rule.


METHODS
We analyzed asymptomatic cases in a population-based cohort of CEAs performed in Medicare beneficiaries in New York State. Medical records were abstracted for sociodemographics, neurologic history, disease severity, diagnostic imaging data, comorbidities, and deaths and strokes within 30 days of surgery. We used multivariate logistic regression to identify independent predictors of perioperative death or stroke. The CEA-8 clinical risk score was derived from the final model.


RESULTS
Among the 6553 patients, the mean age was 74 years, 55% were male, 62% had coronary artery disease, and 22% had a history of distant stroke or transient ischemic attack. The perioperative rate of death or stroke was 3.0%. Multivariable predictors of perioperative events were female sex (odds ratio [OR] = 1.5; 95% CI, 1.1 to 1.9), nonwhite race (OR = 1.8; 95% CI, 1.1 to 2.9), severe disability (OR = 3.7; 95% CI, 1.8 to 7.7), congestive heart failure (OR = 1.6; 95% CI, 1.1 to 2.4), coronary artery disease (OR = 1.6; 95% CI, 1.2 to 2.2), valvular heart disease (OR = 1.5; 95% CI, 1.1 to 2.3), a distant history of stroke or transient ischemic attack (OR = 1.5; 95% CI, 1.1 to 2.0), and a nonoperated stenosis ≥ 50% (OR = 1.8; 95% CI, 1.3 to 2.3). The CEA-8 risk score stratified patients with a predicted probability of death or stroke rate from 0.6% to 9.6%.


CONCLUSIONS
Several sociodemographic, neurologic severity, and comorbidity factors predicted the risk of perioperative death or stroke in asymptomatic patients. The CEA-8 risk score can help clinicians calculate a predicted probability of complications for an individual patient to help inform the decision about revascularization.
Division of General Internal Medicine, University of Texas Southwestern Medical Center, Dallas, TX 75390-8889, USA.
Linda
L
Calvillo-King
Lei
L
Xuan
Song
S
Zhang
Stanley
S
Tuhrim
Ethan A
EA
Halm
D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D002311:Cardiomyopathy, Dilated / Q000150:complications / Q000453:epidemiology; D016893:Carotid Stenosis / Q000150:complications / Q000453:epidemiology; D015331:Cohort Studies; D006233:Persons with Disabilities; D016894:Endarterectomy, Carotid / Q000009:adverse effects* / Q000401:mortality*; D005006:Ethnicity; D005260:Female; D006349:Heart Valve Diseases / Q000150:complications / Q000453:epidemiology; D006801:Humans; D002546:Ischemic Attack, Transient / Q000150:complications / Q000453:epidemiology; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D009518:New York / Q000453:epidemiology; D059035:Perioperative Period / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests; D015203:Reproducibility of Results; D018570:Risk Assessment; D012737:Sex Factors; D020521:Stroke / Q000453:epidemiology* / Q000209:etiology*; D016896:Treatment Outcome