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Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model
ABSTRACT: BACKGROUND: Diabetes mellitus, ischemic heart disease, and chronic kidney disease are three major chronic conditions that develop with increasing risks among adults as they get older. The interconnectedness of these three chronic conditions is well known, while each condition acts as a pro...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006736/ https://www.ncbi.nlm.nih.gov/pubmed/29914451 http://dx.doi.org/10.1186/s12889-018-5688-y |
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author | Siriwardhana, Chathura Lim, Eunjung Davis, James Chen, John J. |
author_facet | Siriwardhana, Chathura Lim, Eunjung Davis, James Chen, John J. |
author_sort | Siriwardhana, Chathura |
collection | PubMed |
description | ABSTRACT: BACKGROUND: Diabetes mellitus, ischemic heart disease, and chronic kidney disease are three major chronic conditions that develop with increasing risks among adults as they get older. The interconnectedness of these three chronic conditions is well known, while each condition acts as a prognostic risk factor for the other two. It is important to understand the progressive relationships of these three conditions over time in terms of transitioning between clinical states and the impact on patients’ survival. METHODS: We investigate the survival characteristics of a Medicare population aged 65 years and above in a multistate system that contained clinical states specified by death and diagnosis combinations of three chronic conditions. The study was conducted using Hawaii Medicare claims data from 2009 to 2013. To evaluate the progression of a subject with one of the newly diagnosed chronic conditions, we analyzed quantities such as state occupation probabilities in eight states and hazards of sixteen transition types. We quantified effects and significances of potential covariates such as age, gender, race/ethnicity, comorbidity burden and financial status on these temporal functions. Nonparametric method of estimating state occupation probabilities and pseudo-value based method for estimating covariate effects of a survival system were utilized. RESULTS: We found a range of age, gender, race/ethnicity and financial status based interesting covariate influences on transitions and state occupation probabilities of the system. CONCLUSION: Survival characteristics of the disease system are influenced by subject-specific effects. Subgroup-specific interventions/screenings should be considered for the optimal prevention and care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5688-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6006736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-60067362018-06-26 Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model Siriwardhana, Chathura Lim, Eunjung Davis, James Chen, John J. BMC Public Health Research Article ABSTRACT: BACKGROUND: Diabetes mellitus, ischemic heart disease, and chronic kidney disease are three major chronic conditions that develop with increasing risks among adults as they get older. The interconnectedness of these three chronic conditions is well known, while each condition acts as a prognostic risk factor for the other two. It is important to understand the progressive relationships of these three conditions over time in terms of transitioning between clinical states and the impact on patients’ survival. METHODS: We investigate the survival characteristics of a Medicare population aged 65 years and above in a multistate system that contained clinical states specified by death and diagnosis combinations of three chronic conditions. The study was conducted using Hawaii Medicare claims data from 2009 to 2013. To evaluate the progression of a subject with one of the newly diagnosed chronic conditions, we analyzed quantities such as state occupation probabilities in eight states and hazards of sixteen transition types. We quantified effects and significances of potential covariates such as age, gender, race/ethnicity, comorbidity burden and financial status on these temporal functions. Nonparametric method of estimating state occupation probabilities and pseudo-value based method for estimating covariate effects of a survival system were utilized. RESULTS: We found a range of age, gender, race/ethnicity and financial status based interesting covariate influences on transitions and state occupation probabilities of the system. CONCLUSION: Survival characteristics of the disease system are influenced by subject-specific effects. Subgroup-specific interventions/screenings should be considered for the optimal prevention and care. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-018-5688-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-06-18 /pmc/articles/PMC6006736/ /pubmed/29914451 http://dx.doi.org/10.1186/s12889-018-5688-y Text en © The Author(s). 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Siriwardhana, Chathura Lim, Eunjung Davis, James Chen, John J. Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model |
title | Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model |
title_full | Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model |
title_fullStr | Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model |
title_full_unstemmed | Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model |
title_short | Progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model |
title_sort | progression of diabetes, ischemic heart disease, and chronic kidney disease in a three chronic conditions multistate model |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6006736/ https://www.ncbi.nlm.nih.gov/pubmed/29914451 http://dx.doi.org/10.1186/s12889-018-5688-y |
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