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Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence
BACKGROUND: Multi-morbidity, or the presence of multiple chronic diseases, is a major problem in clinical care and is associated with worse outcomes. Additionally, the presence of mental health conditions, such as depression, anxiety, etc., has further negative impact on clinical outcomes. However,...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144689/ https://www.ncbi.nlm.nih.gov/pubmed/25138206 http://dx.doi.org/10.1186/1472-6823-14-68 |
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author | Lynch, Cheryl P Gebregziabher, Mulugeta Zhao, Yumin Hunt, Kelly J Egede, Leonard E |
author_facet | Lynch, Cheryl P Gebregziabher, Mulugeta Zhao, Yumin Hunt, Kelly J Egede, Leonard E |
author_sort | Lynch, Cheryl P |
collection | PubMed |
description | BACKGROUND: Multi-morbidity, or the presence of multiple chronic diseases, is a major problem in clinical care and is associated with worse outcomes. Additionally, the presence of mental health conditions, such as depression, anxiety, etc., has further negative impact on clinical outcomes. However, most health systems are generally configured for management of individual diseases instead of multi-morbidity. The study examined the prevalence and differential impact of medical and psychiatric multi-morbidity on risk of death in adults with diabetes. METHODS: A national cohort of 625,903 veterans with type 2 diabetes was created by linking multiple patient and administrative files from 2002 through 2006. The main outcome was time to death. Primary independent variables were numbers of medical and psychiatric comorbidities over the study period. Covariates included age, gender, race/ethnicity, marital status, area of residence, service connection, and geographic region. Cox regression was used to model the association between time to death and multi-morbidity adjusting for relevant covariates. RESULTS: Hypertension (78%) and depression (13%) were the most prevalent medical and psychiatric comorbidities, respectively; 23% had 3+ medical comorbidities, 3% had 2+ psychiatric comorbidities and 22% died. Among medical comorbidities, mortality risk was highest in those with congestive heart failure (hazard ratio, HR = 1.92; 95% CI 1.89-1.95), Lung disease (HR = 1.42; 95% CI 1.40-1.44) and cerebrovascular disease (HR = 1.39; 95% CI 1.37-1.40). Among psychiatric comorbidities, mortality risk was highest in those with substance abuse (HR = 1.50; 95% CI 1.46-1.54), psychoses (HR = 1.16; 95% CI 1.14-1.19) and depression (HR = 1.05; 95% CI 1.03-1.07). There was an interaction between medical and psychiatric comorbidity (p = 0.003) so stratified analyses were performed. HRs for effect of 3+ medical comorbidity (2.63, 2.66, 2.15) remained high across levels of psychiatric comorbidities (0, 1, 2+), respectively. HRs for effect of 2+ psychiatric comorbidity (1.69, 1.63, 1.42, 1.38) declined across levels of medical comorbidity (0, 1, 2, 3+), respectively. CONCLUSIONS: Medical and psychiatric multi-morbidity are significant predictors of mortality among older adults (veterans) with type 2 diabetes with a graded response as multimorbidity increases. |
format | Online Article Text |
id | pubmed-4144689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41446892014-08-27 Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence Lynch, Cheryl P Gebregziabher, Mulugeta Zhao, Yumin Hunt, Kelly J Egede, Leonard E BMC Endocr Disord Research Article BACKGROUND: Multi-morbidity, or the presence of multiple chronic diseases, is a major problem in clinical care and is associated with worse outcomes. Additionally, the presence of mental health conditions, such as depression, anxiety, etc., has further negative impact on clinical outcomes. However, most health systems are generally configured for management of individual diseases instead of multi-morbidity. The study examined the prevalence and differential impact of medical and psychiatric multi-morbidity on risk of death in adults with diabetes. METHODS: A national cohort of 625,903 veterans with type 2 diabetes was created by linking multiple patient and administrative files from 2002 through 2006. The main outcome was time to death. Primary independent variables were numbers of medical and psychiatric comorbidities over the study period. Covariates included age, gender, race/ethnicity, marital status, area of residence, service connection, and geographic region. Cox regression was used to model the association between time to death and multi-morbidity adjusting for relevant covariates. RESULTS: Hypertension (78%) and depression (13%) were the most prevalent medical and psychiatric comorbidities, respectively; 23% had 3+ medical comorbidities, 3% had 2+ psychiatric comorbidities and 22% died. Among medical comorbidities, mortality risk was highest in those with congestive heart failure (hazard ratio, HR = 1.92; 95% CI 1.89-1.95), Lung disease (HR = 1.42; 95% CI 1.40-1.44) and cerebrovascular disease (HR = 1.39; 95% CI 1.37-1.40). Among psychiatric comorbidities, mortality risk was highest in those with substance abuse (HR = 1.50; 95% CI 1.46-1.54), psychoses (HR = 1.16; 95% CI 1.14-1.19) and depression (HR = 1.05; 95% CI 1.03-1.07). There was an interaction between medical and psychiatric comorbidity (p = 0.003) so stratified analyses were performed. HRs for effect of 3+ medical comorbidity (2.63, 2.66, 2.15) remained high across levels of psychiatric comorbidities (0, 1, 2+), respectively. HRs for effect of 2+ psychiatric comorbidity (1.69, 1.63, 1.42, 1.38) declined across levels of medical comorbidity (0, 1, 2, 3+), respectively. CONCLUSIONS: Medical and psychiatric multi-morbidity are significant predictors of mortality among older adults (veterans) with type 2 diabetes with a graded response as multimorbidity increases. BioMed Central 2014-08-20 /pmc/articles/PMC4144689/ /pubmed/25138206 http://dx.doi.org/10.1186/1472-6823-14-68 Text en Copyright © 2014 Lynch et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Lynch, Cheryl P Gebregziabher, Mulugeta Zhao, Yumin Hunt, Kelly J Egede, Leonard E Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence |
title | Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence |
title_full | Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence |
title_fullStr | Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence |
title_full_unstemmed | Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence |
title_short | Impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence |
title_sort | impact of medical and psychiatric multi-morbidity on mortality in diabetes: emerging evidence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4144689/ https://www.ncbi.nlm.nih.gov/pubmed/25138206 http://dx.doi.org/10.1186/1472-6823-14-68 |
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