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Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data

Despite substantial progress in the study of diabetes, important questions remain about its comorbidities and clinical heterogeneity. To explore these issues, we develop a framework allowing for the first time to quantify nation-wide risks and their age- and sex-dependence for each diabetic comorbid...

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Autores principales: Klimek, Peter, Kautzky-Willer, Alexandra, Chmiel, Anna, Schiller-Frühwirth, Irmgard, Thurner, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391714/
https://www.ncbi.nlm.nih.gov/pubmed/25855969
http://dx.doi.org/10.1371/journal.pcbi.1004125
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author Klimek, Peter
Kautzky-Willer, Alexandra
Chmiel, Anna
Schiller-Frühwirth, Irmgard
Thurner, Stefan
author_facet Klimek, Peter
Kautzky-Willer, Alexandra
Chmiel, Anna
Schiller-Frühwirth, Irmgard
Thurner, Stefan
author_sort Klimek, Peter
collection PubMed
description Despite substantial progress in the study of diabetes, important questions remain about its comorbidities and clinical heterogeneity. To explore these issues, we develop a framework allowing for the first time to quantify nation-wide risks and their age- and sex-dependence for each diabetic comorbidity, and whether the association may be consequential or causal, in a sample of almost two million patients. This study is equivalent to nearly 40,000 single clinical measurements. We confirm the highly controversial relation of increased risk for Parkinson’s disease in diabetics, using a 10 times larger cohort than previous studies on this relation. Detection of type 1 diabetes leads detection of depressions, whereas there is a strong comorbidity relation between type 2 diabetes and schizophrenia, suggesting similar pathogenic or medication-related mechanisms. We find significant sex differences in the progression of, for instance, sleep disorders and congestive heart failure in diabetic patients. Hypertension is a highly sex-sensitive comorbidity with females being at lower risk during fertile age, but at higher risk otherwise. These results may be useful to improve screening practices in the general population. Clinical management of diabetes must address age- and sex-dependence of multiple comorbid conditions.
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spelling pubmed-43917142015-04-21 Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data Klimek, Peter Kautzky-Willer, Alexandra Chmiel, Anna Schiller-Frühwirth, Irmgard Thurner, Stefan PLoS Comput Biol Research Article Despite substantial progress in the study of diabetes, important questions remain about its comorbidities and clinical heterogeneity. To explore these issues, we develop a framework allowing for the first time to quantify nation-wide risks and their age- and sex-dependence for each diabetic comorbidity, and whether the association may be consequential or causal, in a sample of almost two million patients. This study is equivalent to nearly 40,000 single clinical measurements. We confirm the highly controversial relation of increased risk for Parkinson’s disease in diabetics, using a 10 times larger cohort than previous studies on this relation. Detection of type 1 diabetes leads detection of depressions, whereas there is a strong comorbidity relation between type 2 diabetes and schizophrenia, suggesting similar pathogenic or medication-related mechanisms. We find significant sex differences in the progression of, for instance, sleep disorders and congestive heart failure in diabetic patients. Hypertension is a highly sex-sensitive comorbidity with females being at lower risk during fertile age, but at higher risk otherwise. These results may be useful to improve screening practices in the general population. Clinical management of diabetes must address age- and sex-dependence of multiple comorbid conditions. Public Library of Science 2015-04-09 /pmc/articles/PMC4391714/ /pubmed/25855969 http://dx.doi.org/10.1371/journal.pcbi.1004125 Text en © 2015 Klimek et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Klimek, Peter
Kautzky-Willer, Alexandra
Chmiel, Anna
Schiller-Frühwirth, Irmgard
Thurner, Stefan
Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data
title Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data
title_full Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data
title_fullStr Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data
title_full_unstemmed Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data
title_short Quantification of Diabetes Comorbidity Risks across Life Using Nation-Wide Big Claims Data
title_sort quantification of diabetes comorbidity risks across life using nation-wide big claims data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4391714/
https://www.ncbi.nlm.nih.gov/pubmed/25855969
http://dx.doi.org/10.1371/journal.pcbi.1004125
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