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A novel dataset of predictors of mortality for older Veterans living with type II diabetes
The dataset summarized in this article includes a nationwide prevalence sample of U.S. military Veterans who were aged 65 years or older, dually enrolled in the Veterans Health Administration and traditional Medicare and had a previous diagnosis of diabetes (diabetes mellitus) as of December 2005 (N...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904241/ https://www.ncbi.nlm.nih.gov/pubmed/35282179 http://dx.doi.org/10.1016/j.dib.2022.108005 |
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author | Vaidya, Avi U. Benavidez, Gabriel A. Prentice, Julia C. Mohr, David C. Conlin, Paul R. Griffith, Kevin N. |
author_facet | Vaidya, Avi U. Benavidez, Gabriel A. Prentice, Julia C. Mohr, David C. Conlin, Paul R. Griffith, Kevin N. |
author_sort | Vaidya, Avi U. |
collection | PubMed |
description | The dataset summarized in this article includes a nationwide prevalence sample of U.S. military Veterans who were aged 65 years or older, dually enrolled in the Veterans Health Administration and traditional Medicare and had a previous diagnosis of diabetes (diabetes mellitus) as of December 2005 (N = 275,190) [1]. Our data were originally used to develop and validate prognostic indices of 5- and 10-year mortality among older Veterans with diabetes. We include various potential predictors including demographics (e.g., sex, age, marital status, and VA priority group), healthcare utilization (e.g., # of outpatient visits, # days of inpatient stays), medication history, and major comorbidities. This novel dataset provides researchers with an opportunity to study the associations between a large variety of individual-level risk factors and longevity for patients living with diabetes. |
format | Online Article Text |
id | pubmed-8904241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-89042412022-03-10 A novel dataset of predictors of mortality for older Veterans living with type II diabetes Vaidya, Avi U. Benavidez, Gabriel A. Prentice, Julia C. Mohr, David C. Conlin, Paul R. Griffith, Kevin N. Data Brief Data Article The dataset summarized in this article includes a nationwide prevalence sample of U.S. military Veterans who were aged 65 years or older, dually enrolled in the Veterans Health Administration and traditional Medicare and had a previous diagnosis of diabetes (diabetes mellitus) as of December 2005 (N = 275,190) [1]. Our data were originally used to develop and validate prognostic indices of 5- and 10-year mortality among older Veterans with diabetes. We include various potential predictors including demographics (e.g., sex, age, marital status, and VA priority group), healthcare utilization (e.g., # of outpatient visits, # days of inpatient stays), medication history, and major comorbidities. This novel dataset provides researchers with an opportunity to study the associations between a large variety of individual-level risk factors and longevity for patients living with diabetes. Elsevier 2022-03-01 /pmc/articles/PMC8904241/ /pubmed/35282179 http://dx.doi.org/10.1016/j.dib.2022.108005 Text en © 2022 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Data Article Vaidya, Avi U. Benavidez, Gabriel A. Prentice, Julia C. Mohr, David C. Conlin, Paul R. Griffith, Kevin N. A novel dataset of predictors of mortality for older Veterans living with type II diabetes |
title | A novel dataset of predictors of mortality for older Veterans living with type II diabetes |
title_full | A novel dataset of predictors of mortality for older Veterans living with type II diabetes |
title_fullStr | A novel dataset of predictors of mortality for older Veterans living with type II diabetes |
title_full_unstemmed | A novel dataset of predictors of mortality for older Veterans living with type II diabetes |
title_short | A novel dataset of predictors of mortality for older Veterans living with type II diabetes |
title_sort | novel dataset of predictors of mortality for older veterans living with type ii diabetes |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8904241/ https://www.ncbi.nlm.nih.gov/pubmed/35282179 http://dx.doi.org/10.1016/j.dib.2022.108005 |
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