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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,...

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Autores principales: Lynch, Cheryl P, Gebregziabher, Mulugeta, Zhao, Yumin, Hunt, Kelly J, Egede, Leonard E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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.
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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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