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Association of peripheral artery disease and chronic limb-threatening ischemia with socioeconomic deprivation in people with diabetes: A population data-linkage and geospatial analysis
The association between the prevalence and geographical distribution of peripheral artery disease (PAD) and chronic limb-threatening ischemia (CLTI) in patients with diabetes in the context of socioeconomic deprivation is not well understood. We undertook a retrospective cohort study of 76,307 peopl...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033436/ https://www.ncbi.nlm.nih.gov/pubmed/33492205 http://dx.doi.org/10.1177/1358863X20981132 |
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author | Hurst, Joanne E Tehan, Peta Ellen Hussey, Keith Woodburn, James |
author_facet | Hurst, Joanne E Tehan, Peta Ellen Hussey, Keith Woodburn, James |
author_sort | Hurst, Joanne E |
collection | PubMed |
description | The association between the prevalence and geographical distribution of peripheral artery disease (PAD) and chronic limb-threatening ischemia (CLTI) in patients with diabetes in the context of socioeconomic deprivation is not well understood. We undertook a retrospective cohort study of 76,307 people with diabetes admitted as a hospital inpatient in a large Scottish health administrative area. Utilising linked health records, we identified diagnoses of PAD and/or CLTI and their distribution using small area cartography techniques according to multiple deprivation maps. Spatial autocorrelation techniques were applied to examine PAD and CLTI patterning. Association between crude inpatient prevalence-adjusted outcome rates and exposure to social deprivation were determined. We found crude prevalence-adjusted rates of 8.05% for PAD and 1.10% for CLTI with a five- to sevenfold difference from the least to most deprived regions. Statistically significant hot spots were found for PAD (p < 0.001) and CLTI (p < 0.001) in the most deprived areas, and cold spots for PAD (p < 0.001) but not CLTI (p = 0.72) in the least deprived areas. Major health disparities in PAD/CLTI diagnoses in people with diabetes is driven by socioeconomic deprivation. |
format | Online Article Text |
id | pubmed-8033436 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-80334362021-04-22 Association of peripheral artery disease and chronic limb-threatening ischemia with socioeconomic deprivation in people with diabetes: A population data-linkage and geospatial analysis Hurst, Joanne E Tehan, Peta Ellen Hussey, Keith Woodburn, James Vasc Med Original Articles The association between the prevalence and geographical distribution of peripheral artery disease (PAD) and chronic limb-threatening ischemia (CLTI) in patients with diabetes in the context of socioeconomic deprivation is not well understood. We undertook a retrospective cohort study of 76,307 people with diabetes admitted as a hospital inpatient in a large Scottish health administrative area. Utilising linked health records, we identified diagnoses of PAD and/or CLTI and their distribution using small area cartography techniques according to multiple deprivation maps. Spatial autocorrelation techniques were applied to examine PAD and CLTI patterning. Association between crude inpatient prevalence-adjusted outcome rates and exposure to social deprivation were determined. We found crude prevalence-adjusted rates of 8.05% for PAD and 1.10% for CLTI with a five- to sevenfold difference from the least to most deprived regions. Statistically significant hot spots were found for PAD (p < 0.001) and CLTI (p < 0.001) in the most deprived areas, and cold spots for PAD (p < 0.001) but not CLTI (p = 0.72) in the least deprived areas. Major health disparities in PAD/CLTI diagnoses in people with diabetes is driven by socioeconomic deprivation. SAGE Publications 2021-01-25 2021-04 /pmc/articles/PMC8033436/ /pubmed/33492205 http://dx.doi.org/10.1177/1358863X20981132 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (http://www.creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Hurst, Joanne E Tehan, Peta Ellen Hussey, Keith Woodburn, James Association of peripheral artery disease and chronic limb-threatening ischemia with socioeconomic deprivation in people with diabetes: A population data-linkage and geospatial analysis |
title | Association of peripheral artery disease and chronic limb-threatening
ischemia with socioeconomic deprivation in people with diabetes: A population
data-linkage and geospatial analysis |
title_full | Association of peripheral artery disease and chronic limb-threatening
ischemia with socioeconomic deprivation in people with diabetes: A population
data-linkage and geospatial analysis |
title_fullStr | Association of peripheral artery disease and chronic limb-threatening
ischemia with socioeconomic deprivation in people with diabetes: A population
data-linkage and geospatial analysis |
title_full_unstemmed | Association of peripheral artery disease and chronic limb-threatening
ischemia with socioeconomic deprivation in people with diabetes: A population
data-linkage and geospatial analysis |
title_short | Association of peripheral artery disease and chronic limb-threatening
ischemia with socioeconomic deprivation in people with diabetes: A population
data-linkage and geospatial analysis |
title_sort | association of peripheral artery disease and chronic limb-threatening
ischemia with socioeconomic deprivation in people with diabetes: a population
data-linkage and geospatial analysis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8033436/ https://www.ncbi.nlm.nih.gov/pubmed/33492205 http://dx.doi.org/10.1177/1358863X20981132 |
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