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Article

Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors

1
Department of Internal Medicine III, Clinical Division of Endocrinology and Metabolism, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
2
Section for Science of Complex Systems, CeMSIIS, Medical University of Vienna, Spitalgasse 23, A-1090 Vienna, Austria
3
Complexity Science Hub Vienna, Josefstaedter Straße 39, 1080 Vienna, Austria
4
Department of Psychiatry and Psychotherapy, Medical University of Vienna, Waehringer Guertel 18-20, A-1090 Vienna, Austria
5
Gender Institute, A-3571 Gars am Kamp, Austria
*
Author to whom correspondence should be addressed.
Equally contribution.
Academic Editors: George Patrinos and Rutger A. Middelburg
J. Pers. Med. 2021, 11(5), 328; https://doi.org/10.3390/jpm11050328
Received: 18 March 2021 / Revised: 9 April 2021 / Accepted: 15 April 2021 / Published: 22 April 2021
(This article belongs to the Special Issue Personalized Medicine in Epidemics)
Objectives: Diabetic patients are often diagnosed with several comorbidities. The aim of the present study was to investigate the relationship between different combinations of risk factors and complications in diabetic patients. Research design and methods: We used a longitudinal, population-wide dataset of patients with hospital diagnoses and identified all patients (n = 195,575) receiving a diagnosis of diabetes in the observation period from 2003–2014. We defined nine ICD-10-codes as risk factors and 16 ICD-10 codes as complications. Using a computational algorithm, cohort patients were assigned to clusters based on the risk factors they were diagnosed with. The clusters were defined so that the patients assigned to them developed similar complications. Complication risk was quantified in terms of relative risk (RR) compared with healthy control patients. Results: We identified five clusters associated with an increased risk of complications. A combined diagnosis of arterial hypertension (aHTN) and dyslipidemia was shared by all clusters and expressed a baseline of increased risk. Additional diagnosis of (1) smoking, (2) depression, (3) liver disease, or (4) obesity made up the other four clusters and further increased the risk of complications. Cluster 9 (aHTN, dyslipidemia and depression) represented diabetic patients at high risk of angina pectoris “AP” (RR: 7.35, CI: 6.74–8.01), kidney disease (RR: 3.18, CI: 3.04–3.32), polyneuropathy (RR: 4.80, CI: 4.23–5.45), and stroke (RR: 4.32, CI: 3.95–4.71), whereas cluster 10 (aHTN, dyslipidemia and smoking) identified patients with the highest risk of AP (RR: 10.10, CI: 9.28–10.98), atherosclerosis (RR: 4.07, CI: 3.84–4.31), and loss of extremities (RR: 4.21, CI: 1.5–11.84) compared to the controls. Conclusions: A comorbidity of aHTN and dyslipidemia was shown to be associated with diabetic complications across all risk-clusters. This effect was amplified by a combination with either depression, smoking, obesity, or non-specific liver disease. View Full-Text
Keywords: diabetes mellitus; cluster analyses; risk factors; micro- and macrovascular disease diabetes mellitus; cluster analyses; risk factors; micro- and macrovascular disease
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MDPI and ACS Style

Leutner, M.; Haug, N.; Bellach, L.; Dervic, E.; Kautzky, A.; Klimek, P.; Kautzky-Willer, A. Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors. J. Pers. Med. 2021, 11, 328. https://doi.org/10.3390/jpm11050328

AMA Style

Leutner M, Haug N, Bellach L, Dervic E, Kautzky A, Klimek P, Kautzky-Willer A. Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors. Journal of Personalized Medicine. 2021; 11(5):328. https://doi.org/10.3390/jpm11050328

Chicago/Turabian Style

Leutner, Michael, Nils Haug, Luise Bellach, Elma Dervic, Alexander Kautzky, Peter Klimek, and Alexandra Kautzky-Willer. 2021. "Risk of Typical Diabetes-Associated Complications in Different Clusters of Diabetic Patients: Analysis of Nine Risk Factors" Journal of Personalized Medicine 11, no. 5: 328. https://doi.org/10.3390/jpm11050328

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