Socioeconomic and hospital-related predictors of amputation for XXXX .

@entity1 @entity7881 @entity159 @entity63
OBJECTIVE: Disparities in limb salvage procedures may be driven by @entity159 ( @entity159 ) and access to high-volume hospitals. We sought to identify @entity159 factors associated with major amputation in the setting of @entity63 ( @entity63 ). METHODS: The 2003-2007 Nationwide Inpatient Sample was queried for discharges containing lower extremity revascularization (LER) or major amputation and chronic @entity63 (N = 958,120). The Elixhauser method was used to adjust for comorbidities. Significant predictors in bivariate logistic regression were entered into a multivariate logistic regression for the dependent variable of amputation vs LER. RESULTS: Overall, 24.2% of @entity63 @entity1 underwent amputation. Significant differences were seen between both groups in bivariate and multivariate analysis of @entity159 factors, including race, income, and insurance status. @entity7881 @entity1 were more likely to be treated at low-LER-volume institutions (odds ratio [OR], 1.74; P < .001). @entity1 at higher-LER-volume centers (OR, 15.16; P <.001) admitted electively (OR, 2.19; P < .001) and evaluated with diagnostic imaging (OR, 10.63; P < .001) were more likely to receive LER. CONCLUSIONS: After controlling for comorbidities, minority @entity1 , those with lower @entity159 , and @entity1 with Medicaid were more likely receive amputation for @entity63 in low-volume hospitals. Addressing @entity159 and hospital factors may reduce amputation rates for @entity63 .
