BACKGROUND: @entity1 factors that contribute to mortality from @entity1028 ( @entity1028 ) repair have been previously described, but few studies have delineated the hospital factors that may be associated with an increase in @entity1 mortality after @entity1028 . This study used a large national database to identify hospital factors that affect mortality rates after open repair (OAR) and @entity1028 repair (EVAR) of elective and @entity1755 . METHODS: A retrospective analysis was completed using the Nationwide Inpatient Sample from 1998 to 2011. International Classification of Disease, Ninth Revision codes were used to identify @entity1 who underwent elective or @entity1755 repair by OAR or EVAR. The association between mortality and hospital covariates, including ownership, bed size, region, and individual hospital volume for these @entity1 was statistically delineated by analysis of variance,   (2), and Mann-Kendall trend analysis. RESULTS: A total of 128,232 @entity1 were identified over the 14-year period, of which 88.5% were elective procedures and 11.5% were performed acutely for @entity397 . Most hospitals that complete elective OAR do between one and 50 cases, with mortality between 0% and 40%. Hospitals with mortality >40% uniformly complete fewer than five elective OAR cases annually and @entity19312 .5% of all hospitals for mortality. Most hospitals that complete elective EVAR do between one and 70 cases, with mortality between 0% and 13%. Hospitals with mortality >13% uniformly complete fewer than eight elective EVAR cases annually and @entity19312 .5% of all hospitals for mortality. The majority of hospitals that complete OAR or EVAR for @entity1755 have between 0% to 100% for mortality, indicative of the high mortality risk associated with @entity397 . CONCLUSIONS: Hospitals that complete fewer than five OARs or eight EVARs annually have significantly greater mortality compared with their counterparts. Improved implementation of best practices, more detailed informed consent to include hospital mortality data, and better regional access to health care may improve survival after elective @entity1028 repair.

The effect of hospital factors on mortality rates after XXXX repair.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient', 'Patient'] @entity1755 :: ('MESH:D001019', 'Disease') :: ['ruptured AAA'] @entity397 :: ('MESH:D012421', 'Disease') :: ['rupture'] @entity19312 :: ('MESH:C536345', 'Disease') :: ['fall in the bottom 2'] @entity1028 :: ('MESH:D017544', 'Disease') :: ['endovascular AAA', 'abdominal aortic aneurysm', 'AAA']
@entity1028 :: (MESH:D017544,Disease) :: ['abdominal aortic aneurysm']
