Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Siriwardhana, Chathura, Lim, Eunjung, Davis, James, Chen, John J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
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
_version_ 1783332897685504000
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
work_keys_str_mv AT siriwardhanachathura progressionofdiabetesischemicheartdiseaseandchronickidneydiseaseinathreechronicconditionsmultistatemodel
AT limeunjung progressionofdiabetesischemicheartdiseaseandchronickidneydiseaseinathreechronicconditionsmultistatemodel
AT davisjames progressionofdiabetesischemicheartdiseaseandchronickidneydiseaseinathreechronicconditionsmultistatemodel
AT chenjohnj progressionofdiabetesischemicheartdiseaseandchronickidneydiseaseinathreechronicconditionsmultistatemodel