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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2015-04-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1004125 |
| _version_ | 1818902011773452288 |
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| author | Peter Klimek Alexandra Kautzky-Willer Anna Chmiel Irmgard Schiller-Frühwirth Stefan Thurner |
| author_facet | Peter Klimek Alexandra Kautzky-Willer Anna Chmiel Irmgard Schiller-Frühwirth Stefan Thurner |
| author_sort | Peter Klimek |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-19T20:28:52Z |
| format | Article |
| id | doaj.art-35eb9f7042164033ba46a2fabcbe999a |
| institution | Directory Open Access Journal |
| issn | 1553-734X 1553-7358 |
| language | English |
| last_indexed | 2024-12-19T20:28:52Z |
| publishDate | 2015-04-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj.art-35eb9f7042164033ba46a2fabcbe999a2022-12-21T20:06:47ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582015-04-01114e100412510.1371/journal.pcbi.1004125Quantification of diabetes comorbidity risks across life using nation-wide big claims data.Peter KlimekAlexandra Kautzky-WillerAnna ChmielIrmgard Schiller-FrühwirthStefan ThurnerDespite 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.https://doi.org/10.1371/journal.pcbi.1004125 |
| spellingShingle | Peter Klimek Alexandra Kautzky-Willer Anna Chmiel Irmgard Schiller-Frühwirth Stefan Thurner Quantification of diabetes comorbidity risks across life using nation-wide big claims data. PLoS Computational Biology |
| 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 |
| url | https://doi.org/10.1371/journal.pcbi.1004125 |
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