Quantification of diabetes comorbidity risks across life using nation-wide big claims data

11451 8 32555 2 69476 document 32555 journal.pcbi.1004125.pdf application/pdf f4c79ba7d3b1d6785b82e3f08bf57814 MD5 1308286 2016-02-17 15:50:19 https://pure.iiasa.ac.at/id/eprint/11451/1/journal.pcbi.1004125.pdf 11451 1 1 application/pdf text en public

journal.pcbi.1004125.pdf

published 32556 2 69479 document 32556 lightbox.jpg image/png 5d20bf76864e24cc3ab4c33cea5ee04d MD5 54816 2016-02-17 15:50:42 https://pure.iiasa.ac.at/id/eprint/11451/2/lightbox.jpg 11451 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/32555 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/32555 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/32555 archive 351 disk0/00/01/14/51 2016-01-15 08:53:18 2021-08-27 17:25:08 2016-01-15 08:53:18 article show 1 Klimek P. 1924 Kautzky-Willer A. Chmiel A. Schiller-Fruhwirth I. Thurner S. 1918 Quantification of diabetes comorbidity risks across life using nation-wide big claims data pub iis_mod prog_asa 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 significan 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. 2015-04 published PLoS 10.1371/journal.pcbi.1004125 XJ-15-111 PLoS Computational Biology; 11(4):e1004125 (April 2015) [doi:10.1371/journal.pcbi.1004125] 307 public PLoS Computational Biology 11 4 e1004125 TRUE 1553-7358 FALSE info:eu-repo/semantics/article