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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.
Afiliación
  • Siriwardhana C; Biostatistics Core, Department of Complementary and Integrative Medicine, University of Hawaii John A. Burns School of Medicine, Biosciences Building, Suite 211, 651 Ilalo Street, Honolulu, HI, 96813, USA. cksiri@hawaii.edu.
  • Lim E; Biostatistics Core, Department of Complementary and Integrative Medicine, University of Hawaii John A. Burns School of Medicine, Biosciences Building, Suite 211, 651 Ilalo Street, Honolulu, HI, 96813, USA.
  • Davis J; Biostatistics Core, Department of Complementary and Integrative Medicine, University of Hawaii John A. Burns School of Medicine, Biosciences Building, Suite 211, 651 Ilalo Street, Honolulu, HI, 96813, USA.
  • Chen JJ; Biostatistics Core, Department of Complementary and Integrative Medicine, University of Hawaii John A. Burns School of Medicine, Biosciences Building, Suite 211, 651 Ilalo Street, Honolulu, HI, 96813, USA.
BMC Public Health ; 18(1): 752, 2018 06 18.
Article en En | MEDLINE | ID: mdl-29914451
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Isquemia Miocárdica / Progresión de la Enfermedad / Diabetes Mellitus / Insuficiencia Renal Crónica Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male País/Región como asunto: America do norte Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Isquemia Miocárdica / Progresión de la Enfermedad / Diabetes Mellitus / Insuficiencia Renal Crónica Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Aged / Female / Humans / Male País/Región como asunto: America do norte Idioma: En Revista: BMC Public Health Asunto de la revista: SAUDE PUBLICA Año: 2018 Tipo del documento: Article País de afiliación: Estados Unidos