Socioeconomic and hospital-related predictors of amputation for critical limb ischemia

J Vasc Surg. 2011 Feb;53(2):330-9.e1. doi: 10.1016/j.jvs.2010.08.077. Epub 2010 Dec 15.

Abstract

Objective: Disparities in limb salvage procedures may be driven by socioeconomic status (SES) and access to high-volume hospitals. We sought to identify SES factors associated with major amputation in the setting of critical limb ischemia (CLI).

Methods: The 2003-2007 Nationwide Inpatient Sample was queried for discharges containing lower extremity revascularization (LER) or major amputation and chronic CLI (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 CLI patients underwent amputation. Significant differences were seen between both groups in bivariate and multivariate analysis of SES factors, including race, income, and insurance status. Lower-income patients were more likely to be treated at low-LER-volume institutions (odds ratio [OR], 1.74; P < .001). Patients 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 patients, those with lower SES, and patients with Medicaid were more likely receive amputation for CLI in low-volume hospitals. Addressing SES and hospital factors may reduce amputation rates for CLI.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Aged
  • Amputation, Surgical / statistics & numerical data*
  • Diagnostic Imaging / statistics & numerical data
  • Elective Surgical Procedures / statistics & numerical data
  • Female
  • Healthcare Disparities / statistics & numerical data*
  • Hospital Bed Capacity / statistics & numerical data
  • Hospitals / statistics & numerical data*
  • Humans
  • Insurance, Health / statistics & numerical data
  • Ischemia / diagnosis
  • Ischemia / ethnology
  • Ischemia / surgery*
  • Limb Salvage / statistics & numerical data*
  • Logistic Models
  • Lower Extremity / blood supply*
  • Male
  • Medicaid / statistics & numerical data
  • Minority Groups / statistics & numerical data
  • Odds Ratio
  • Residence Characteristics / statistics & numerical data
  • Risk Assessment
  • Risk Factors
  • Socioeconomic Factors*
  • United States