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

Quantification of diabetes comorbidity risks across life using nation-wide big claims data.
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DOI:
10.1371/journal.pcbi.1004125
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发表时间:
2015-04
影响因子:
4.3
通讯作者:
Thurner S
Thurner S
中科院分区:
生物学2区
文献类型:
--
作者:
Klimek P;Kautzky-Willer A;Chmiel A;Schiller-Frühwirth I;Thurner S

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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. We quantify for the first time age- and gender-dependent relative risks for each possible comorbidity of type 1 and 2 diabetes in a nation-wide claims dataset containing almost two million patients, and test whether the association may be consequential or causal. This study therefore contains almost 40,000 single clinical measurements, all with the maximum patient number available in an entire country. We confirm the relation between diabetes and Parkinson's disease, and find different progression routes of mental disorders in type 1 and type 2 diabetics. Among many other results, we also report significant gender differences in the progression of congestive heart failure, sleep disorders, hypertension, and hyperlipidemia. This work provides the first complete statistical description of all diabetic comorbidities and their dependence on patient age and sex. These results may be of immediate use to improve screening practices and therapy of diabetic patients due to more accurate diagnosis and treatment of important comorbidities.
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