Readmission rates after lower extremity bypass vary significantly by surgical indication

Caroline E Jones1, Joshua S Richman1, Daniel I Chu1

  • 1Department of Surgery, University of Alabama-Birmingham, Birmingham, Ala.

Insights

Thirty-day readmission rates for lower extremity bypass surgery are significantly higher for patients with critical limb ischemia tissue loss or rest pain compared to claudication. Adjusting for surgical indication is crucial when reporting readmission rates.

Area of Science:

  • Vascular Surgery Outcomes
  • Health Services Research
  • Surgical Quality Improvement

Background:

  • Vascular surgery, particularly lower extremity bypass, faces high readmission rates.
  • Understanding readmission drivers is essential for improving patient outcomes and hospital performance metrics.

Purpose of the Study:

  • To analyze 30-day readmission rates after lower extremity bypass.
  • To determine how readmission rates and risk factors differ based on the surgical indication.

Main Methods:

  • Utilized the 2012-2014 American College of Surgeons National Surgical Quality Improvement Program vascular cohort.
  • Excluded emergent procedures and planned readmissions; stratified patients by indication: claudication, critical limb ischemia rest pain (CLI RP), critical limb ischemia tissue loss (CLI TL), and other.
  • Employed logistic regression to identify predictors of readmission, adjusting for preoperative factors.

Main Results:

  • Overall 30-day readmission rate was 14.8% among 6112 patients.
  • Readmission rates varied significantly by indication: CLI TL (18.8%), CLI RP (16.5%), claudication (9.4%), and other (8.2%).
  • Adjusted analysis showed higher readmission odds for CLI TL (OR 1.67) and CLI RP (OR 1.70) compared to claudication.

Conclusions:

  • Surgical indication is a significant factor influencing 30-day readmission rates after lower extremity bypass.
  • Public reporting and penalties for readmissions should account for these variations by indication.
  • Risk adjustment models must incorporate surgical indication to accurately assess hospital performance.
Abstract

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