D J Lanska1, R J Kryscio. 1. Department of Neurology, University of Kentucky Medical Center, Veterans Affairs Medical Center, Lexington, USA.
Abstract
OBJECTIVES: To determine population-based estimates of in-hospital mortality following carotid endarterectomy (CEA) and identify potential risk factors for in-hospital death. METHODS: Data from the Healthcare Cost and Utilization Project (HCUP-3) were analyzed for the year 1993. Nationally representative estimates of risk were calculated by age, sex, race, income, census region, hospital location (urban versus rural), teaching status of hospital, number of hospital beds, hospital ownership, third-party payer, principal procedure, and presence of surgical complications. Multivariate models were developed using stepwise logistic regression and a logit model fit by generalized estimating equations. RESULTS: There were 228 deaths among 18,510 CEAs performed in 17 states of the United States in 1993, yielding an estimated in-hospital mortality rate of 1.2%. Multivariate analysis showed that age, principal procedure, and presence of any surgical complication were significant predictors of in-hospital mortality. Mortality increased with increasing age (from 0.9% in those younger than 65 years to 1.7% in those age 75 and older) and was markedly higher with CEA performed as a secondary procedure (6.1% versus 0.9%) or with any surgical complication (5.9% versus 0.9%). CONCLUSIONS: Increasing age, CEA performed as a secondary procedure, and surgical complications are important predictors of in-hospital mortality following CEA.
OBJECTIVES: To determine population-based estimates of in-hospital mortality following carotid endarterectomy (CEA) and identify potential risk factors for in-hospital death. METHODS: Data from the Healthcare Cost and Utilization Project (HCUP-3) were analyzed for the year 1993. Nationally representative estimates of risk were calculated by age, sex, race, income, census region, hospital location (urban versus rural), teaching status of hospital, number of hospital beds, hospital ownership, third-party payer, principal procedure, and presence of surgical complications. Multivariate models were developed using stepwise logistic regression and a logit model fit by generalized estimating equations. RESULTS: There were 228 deaths among 18,510 CEAs performed in 17 states of the United States in 1993, yielding an estimated in-hospital mortality rate of 1.2%. Multivariate analysis showed that age, principal procedure, and presence of any surgical complication were significant predictors of in-hospital mortality. Mortality increased with increasing age (from 0.9% in those younger than 65 years to 1.7% in those age 75 and older) and was markedly higher with CEA performed as a secondary procedure (6.1% versus 0.9%) or with any surgical complication (5.9% versus 0.9%). CONCLUSIONS: Increasing age, CEA performed as a secondary procedure, and surgical complications are important predictors of in-hospital mortality following CEA.
Authors: P J Devereaux; Peter T L Choi; Christina Lacchetti; Bruce Weaver; Holger J Schünemann; Ted Haines; John N Lavis; Brydon J B Grant; David R S Haslam; Mohit Bhandari; Terrence Sullivan; Deborah J Cook; Stephen D Walter; Maureen Meade; Humaira Khan; Neera Bhatnagar; Gordon H Guyatt Journal: CMAJ Date: 2002-05-28 Impact factor: 8.262
Authors: Ethan A Halm; Stanley Tuhrim; Jason J Wang; Mary Rojas; Caron Rockman; Thomas S Riles; Mark R Chassin Journal: Stroke Date: 2009-05-21 Impact factor: 7.914