Analysis Of Oklahoma Amputation Trends and Identification of Risk Factors to Target Areas For Limb Preservation Interventions.

Healthcare disparities Oklahoma amputation diabetes mellitus hospitalization limb salvage peripheral arterial disease

Journal

Journal of vascular surgery
ISSN: 1097-6809
Titre abrégé: J Vasc Surg
Pays: United States
ID NLM: 8407742

Informations de publication

Date de publication:
09 Apr 2024
Historique:
received: 13 01 2024
revised: 15 03 2024
accepted: 15 03 2024
medline: 12 4 2024
pubmed: 12 4 2024
entrez: 11 4 2024
Statut: aheadofprint

Résumé

Annual trends of lower extremity amputation due to end-stage chronic disease are on the rise in the United States. These amputations are leading to massive expenses for patients and the medical system. In Oklahoma, we have a high-risk population because access to care is low, the number of uninsured is high, cardiovascular health is poor, and our overall healthcare performance is ranked 50 We conducted a 12-consecutive-year observational study using Oklahoma's hospital discharge data. Discharges among patients 20 years or older with a primary or secondary diagnosis of diabetes and/or PAD were included. Diagnoses and amputation procedures were identified using ICD-9 and ICD-10 codes. Amputation rates were calculated per 1,000 discharges. Trends in amputation rates were measured by annual percentage changes (APC). Prevalence ratios evaluated the differences in amputation rates across demographic groups. Over 5,000,000 discharges were identified from 2008-2019. Twenty-four percent had a diagnosis of diabetes and/or PAD. The overall amputation rate was 12 per thousand discharges for those with diabetes and/or PAD. Diabetes and/or PAD-related amputation rates increased from 8.1 to 16.2 (APC: 6.0, 95% CI:4.7-7.3). Most amputations were minor (59.5%), and though minor increased at a faster rate compared to major (minor amputation APC: 8.1, 95% CI: 6.7-9.6 vs. major amputation APC: 3.1, 95% CI:1.5-4.7), major amputations were notable in that they were significantly increasing. Amputation rates were the highest among males (16.7), American Indians (19.2), uninsured (21.2), non-married patients (12.7), and patients between 45 and 49 years of age (18.8), and calculated prevalence ratios for each were significant (p=0.001) when compared within their respective category. Amputation rates in Oklahoma have nearly doubled in 12 years, with both major and minor amputations significantly increasing. This study describes a worsening trend, underscoring that amputations due to chronic disease is an urgent statewide healthcare problem. We also present imperative examples of amputation healthcare disparities. By defining these state-specific areas and populations at risk, we have identified areas to pursue and improve care. These distinctive risk factors will help to frame a statewide limb preservation intervention.

Sections du résumé

BACKGROUND BACKGROUND
Annual trends of lower extremity amputation due to end-stage chronic disease are on the rise in the United States. These amputations are leading to massive expenses for patients and the medical system. In Oklahoma, we have a high-risk population because access to care is low, the number of uninsured is high, cardiovascular health is poor, and our overall healthcare performance is ranked 50
STUDY DESIGN METHODS
We conducted a 12-consecutive-year observational study using Oklahoma's hospital discharge data. Discharges among patients 20 years or older with a primary or secondary diagnosis of diabetes and/or PAD were included. Diagnoses and amputation procedures were identified using ICD-9 and ICD-10 codes. Amputation rates were calculated per 1,000 discharges. Trends in amputation rates were measured by annual percentage changes (APC). Prevalence ratios evaluated the differences in amputation rates across demographic groups.
RESULTS RESULTS
Over 5,000,000 discharges were identified from 2008-2019. Twenty-four percent had a diagnosis of diabetes and/or PAD. The overall amputation rate was 12 per thousand discharges for those with diabetes and/or PAD. Diabetes and/or PAD-related amputation rates increased from 8.1 to 16.2 (APC: 6.0, 95% CI:4.7-7.3). Most amputations were minor (59.5%), and though minor increased at a faster rate compared to major (minor amputation APC: 8.1, 95% CI: 6.7-9.6 vs. major amputation APC: 3.1, 95% CI:1.5-4.7), major amputations were notable in that they were significantly increasing. Amputation rates were the highest among males (16.7), American Indians (19.2), uninsured (21.2), non-married patients (12.7), and patients between 45 and 49 years of age (18.8), and calculated prevalence ratios for each were significant (p=0.001) when compared within their respective category.
CONCLUSION CONCLUSIONS
Amputation rates in Oklahoma have nearly doubled in 12 years, with both major and minor amputations significantly increasing. This study describes a worsening trend, underscoring that amputations due to chronic disease is an urgent statewide healthcare problem. We also present imperative examples of amputation healthcare disparities. By defining these state-specific areas and populations at risk, we have identified areas to pursue and improve care. These distinctive risk factors will help to frame a statewide limb preservation intervention.

Identifiants

pubmed: 38604318
pii: S0741-5214(24)00933-9
doi: 10.1016/j.jvs.2024.03.446
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Auteurs

Kelly Kempe (K)

The University of Oklahoma Health Sciences Center, School of Community Medicine, Department of Surgery, Tulsa, Oklahoma. Electronic address: kelly-kempe@ouhsc.edu.

Juell Homco (J)

The University of Oklahoma Health Sciences Center, School of Community Medicine, Department of Medical Informatics Tulsa, Oklahoma.

Wato Nsa (W)

The University of Oklahoma Health Sciences Center, School of Community Medicine, Department of Medical Informatics Tulsa, Oklahoma.

Marianna Wetherill (M)

The University of Oklahoma Health Sciences Center, Hudson College of Public Health, Tulsa, Oklahoma.

Martina Jelley (M)

The University of Oklahoma Health Sciences Center, School of Community Medicine, Department of Medicine, Tulsa, Oklahoma.

Blake Lesselroth (B)

The University of Oklahoma Health Sciences Center, School of Community Medicine, Department of Medical Informatics Tulsa, Oklahoma.

Todd Hasenstein (T)

The University of Oklahoma Health Sciences Center, School of Community Medicine, Department of Surgery, Tulsa, Oklahoma.

Peter R Nelson (PR)

The University of Oklahoma Health Sciences Center, School of Community Medicine, Department of Surgery, Tulsa, Oklahoma.

Classifications MeSH