Abstract 4361543: Concerning Differences in Major Amputation Trends by Hospital Medicaid Proportion, Patient Income and Race/Ethnicity

Introduction: Recent reports have identified a consistent reversal of decreasing trends in major lower extremity amputations, with multifactorial drivers from cardiovascular disease to societal and hospital system-based factors. Research Question: We evaluated if major lower extremity amputation risk differs by hospital Medicaid proportion, socioeconomic status (zip code-based income), and race/ethnicity. Methods: Using the National Inpatient Sample from 1993 to 2021, we identified inpatient admissions with procedure codes for below-knee (BKA) and above-knee (AKA) amputations. Sample-weighted, population standardized incidence rates per 100,000 people were calculated by hospital Medicaid proportions (defined as quantiles with increasing proportions), zip code-based income quartile, and race/ethnicity. Landmark analyses using multivariable logistic regressions – with inflection points identified in previous amputation incidence analyses at 2010 for BKA and 2012 for AKA – evaluated associations between amputation risk, hospital Medicaid proportion quantile, income quartile, and race/ethnicity. Results: In a sample of 2,769,388 admissions, 197,018 (7.1%) had BKA and 151,018 (5.5%) had AKA. Almost 50% of major amputations were performed in the highest Medicaid proportion facilities. Similarly, 38% of amputations, both AKA and BKA, were reported in the lowest income quartile. Pre-inflection points, for both AKA and BKA, we observed a clear, linearly increasing risk association between higher hospital Medicaid proportion, lower income, and being Black with amputations ( Figure ). Post-inflection, an elevated risk remained and was distributed relatively equally among hospitals with higher Medicaid proportions (BKA odds ratio [OR]: 1.71, 1.84, 1.75; AKA OR: 1.87, 2.04, 1.81; all p<0.001). For income, there was a widening gap with progressively greater risk in lower quartiles (BKA OR: 1.71, 1.84, 1.75; AKA OR: 1.87, 2.04, 1.81; all p<0.001). Conclusions: Pre-inflection, high amputation risk was concentrated in extreme settings. After amputation incidence increased (i.e., post-inflection), amputation burden now spans more hospital systems and profoundly impacts lower income groups - representing changing hospital and societal risk characteristics. These findings emphasize targeting and optimizing care at high-risk hospitals and patients.

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Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4361543
Primary Topic
Prosthetics and Rehabilitation Robotics
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article
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article

Abstract 4361543: Concerning Differences in Major Amputation Trends by Hospital Medicaid Proportion, Patient Income and Race/Ethnicity

Steven Medvedovsky, Christine S. Ferguson, Sherene Sharath, S. Natarajan et al.
Circulation
Prosthetics and Rehabilitation Robotics
article

Abstract 4361543: Concerning Differences in Major Amputation Trends by Hospital Medicaid Proportion, Patient Income and Race/Ethnicity

Steven Medvedovsky, Christine S. Ferguson, Sherene Sharath, S. Natarajan, Panos Kougias, Dewi Sihaloho
article en

Abstract

Introduction: Recent reports have identified a consistent reversal of decreasing trends in major lower extremity amputations, with multifactorial drivers from cardiovascular disease to societal and hospital system-based factors. Research Question: We evaluated if major lower extremity amputation risk differs by hospital Medicaid proportion, socioeconomic status (zip code-based income), and race/ethnicity. Methods: Using the National Inpatient Sample from 1993 to 2021, we identified inpatient admissions with procedure codes for below-knee (BKA) and above-knee (AKA) amputations. Sample-weighted, population standardized incidence rates per 100,000 people were calculated by hospital Medicaid proportions (defined as quantiles with increasing proportions), zip code-based income quartile, and race/ethnicity. Landmark analyses using multivariable logistic regressions – with inflection points identified in previous amputation incidence analyses at 2010 for BKA and 2012 for AKA – evaluated associations between amputation risk, hospital Medicaid proportion quantile, income quartile, and race/ethnicity. Results: In a sample of 2,769,388 admissions, 197,018 (7.1%) had BKA and 151,018 (5.5%) had AKA. Almost 50% of major amputations were performed in the highest Medicaid proportion facilities. Similarly, 38% of amputations, both AKA and BKA, were reported in the lowest income quartile. Pre-inflection points, for both AKA and BKA, we observed a clear, linearly increasing risk association between higher hospital Medicaid proportion, lower income, and being Black with amputations ( Figure ). Post-inflection, an elevated risk remained and was distributed relatively equally among hospitals with higher Medicaid proportions (BKA odds ratio [OR]: 1.71, 1.84, 1.75; AKA OR: 1.87, 2.04, 1.81; all p<0.001). For income, there was a widening gap with progressively greater risk in lower quartiles (BKA OR: 1.71, 1.84, 1.75; AKA OR: 1.87, 2.04, 1.81; all p<0.001). Conclusions: Pre-inflection, high amputation risk was concentrated in extreme settings. After amputation incidence increased (i.e., post-inflection), amputation burden now spans more hospital systems and profoundly impacts lower income groups - representing changing hospital and societal risk characteristics. These findings emphasize targeting and optimizing care at high-risk hospitals and patients.

CirculationVol. 152(Suppl_3)
SUNY Downstate Health Sciences University (US), New York University (US)
Openalex Percentile: Top 69%
Prosthetics and Rehabilitation Robotics
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