gms | German Medical Science

67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e. V. (TMF)

21.08. - 25.08.2022, online

A population-based cohort of adult patients with Diabetes mellitus in a Western district of Austria: The Diabetes-Landeck-Cohort

Meeting Abstract

  • Veronika Steinkreß - UMIT TIROL - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik, Hall in Tirol, Austria
  • Ursula Rochau - Institute of Public Health, Medical Decision Making and HTA, Department of Public Health, Health Services Research and HTA, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria
  • Hans-Robert Schönherr - Department of Internal Medicine, St. Vinzenz Hospital Zams, Zams, Austria
  • Uwe Siebert - Institute of Public Health, Medical Decision Making and HTA, Department of Public Health, Health Services Research and HTA, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria
  • Willi Oberaigner - Institute of Public Health, Medical Decision Making and HTA, Department of Public Health, Health Services Research and HTA, UMIT - University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 67. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS), 13. Jahreskongress der Technologie- und Methodenplattform für die vernetzte medizinische Forschung e.V. (TMF). sine loco [digital], 21.-25.08.2022. Düsseldorf: German Medical Science GMS Publishing House; 2022. DocAbstr. 133

doi: 10.3205/22gmds103, urn:nbn:de:0183-22gmds1036

Veröffentlicht: 19. August 2022

© 2022 Steinkreß et al.
Dieser Artikel ist ein Open-Access-Artikel und steht unter den Lizenzbedingungen der Creative Commons Attribution 4.0 License (Namensnennung). Lizenz-Angaben siehe http://creativecommons.org/licenses/by/4.0/.


Gliederung

Text

Background: Diabetes mellitus (DM) has developed to a substantial, and still growing, health epidemic with severe consequences for both the patients and the health systems [1]. According to the tenth edition of the International Diabetes Federation (IDF) Atlas, worldwide approximately 537 million people aged 20 to 79 years suffered from diabetes in 2021 (2). Due to the increasing number of patients with diabetes and patients with long-term complications, considerable public health and economic burden are expected worldwide and for Austria [2].

The Austrian Diabetes Strategy Paper addresses the lack of high-quality data on DM in Austria and the need to develop a national data network on diabetes epidemiology and the quality of diabetes care [3]. The aims of our study are to describe the demographic and clinical characteristics of a cohort including all diabetes patients in a district in Western Austria and to provide a prevalence estimation.

Methods: We established a population-based cohort including adult patients with a diagnosis of DM from 2018 until the end of June 2021 accompanied by a network connecting all caregivers (general practitioners, diabetes specialists in private practice, hospital). Data collection was based on a case report form, including patient characteristics, clinical parameters, and long-term complications. Documentation was mainly performed by a qualified study nurse who visited the care units. Additionally, it was possible for the physicians to document themselves. All cohort data were stored in a pseudonymized web-based database [4]. All results for patient characteristics, clinical parameters and long-term complications are reported as summary measures and stratified for gender. We estimated period prevalence (study period from January 2018 until the end of June 2021) with 95% confidence intervals (95%CI) based on all patients with DM detected in our study in the region of Landeck.

Results: In total, 1,845 patients with DM were analyzed. We observed an overall prevalence of 5.3% [95% CI: 5.0-5.5] with substantial heterogeneity across subregions. For the further main analysis, we included 1755 patients with DM. 90 patients with gestational diabetes mellitus, who did not develop type 2 DM, were excluded. In our study population, 5.7% of patients were diagnosed with type 1 DM, 92.4% with type 2 DM, and 1.9% with other types of DM. We observed differences between genders in the distribution of specific clinical parameters (e.g., BMI, HbA1c, LDL), patient characteristics (e.g., duration of diabetes, smoking status,) and the long-term complications diabetic foot, amputation, and cardiovascular diseases.

Conclusion: We successfully established a population-based cohort following the guidelines of the Austrian Diabetes Strategy [3], despite the difficult conditions during the pandemic. Some results, such as prevalence or the proportion of specific long-term complications, are in the lower range when compared within the international variation [5], [6], [7], [8]. We assume that the Diabetes-Landeck-Cohort has reached high degree of completeness, however, we were not able to identify independent sources for a sound check of completeness. Nevertheless, our population-based DM cohort provides the first comprehensive Austrian data basis to support future health care decision-making and to improve patient-relevant outcomes in patients with DM.

Our institution received funding for the project "Diabetes Landeck" from Tiroler Gesundheitsfonds.

The authors declare that a positive ethics committee vote has been obtained.


References

1.
Cho NH, Shaw JE, Karuranga S, Huang Y, da Rocha Fernandes JD, Ohlrogge  AW, et al. IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract. 2018;138:271-81.
2.
International Diabetes Federation. IDF Diabetes Atlas. 10th ed. Brussels, Belgium; 2021.
3.
Bundesministerium für Gesundheit und Frauen (BMGF). Österreichische Diabetes-Strategie. Wien: Bundesministerium für Gesundheit und Frauen & Gesundheit Österreich GmbH; 2017.
4.
Forer L, Schönherr S, Weißensteiner H. ASKIMED Software. Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University Innsbruck; 2020.
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Robert Koch Institute. Diabetes in Germany – National Diabetes Surveillance Report 2019. Berlin: RKI; 2019.
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Scottish Diabetes Data Group. Scottish Diabetes Survey 2019. NHS Scotland; 2019.
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Swedish National Diabetes Register (NDR). 20 years of successful improvements. Gothenburg: Swedish National Diabetes Register (NDR); 2016.
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Deshpande AD, Harris-Hayes M, Schootman M. Epidemiology of diabetes and diabetes-related complications. Phys Ther. 2008;88(11):1254-64.