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Löwel, H. ; Stieber, J. ; Koenig, W. ; Thorand, B. ; Hörmann, A. ; Gostomzyk, J.G. ; Keil, U.

Das Diabetes-bedingte Herzinfarktrisiko in einer süddeutschen Bevölkerung: Ergebnisse der MONICA-Augsburg-Studien 1985-1994.

The diabetes-related risk of myocardial infarction in a southern German population: Results of the MONICA Augsburg studies 1985-1994.

Diabetes Stoffwechs. 8, 11-21 (1999)
DOI
Background: The population-based MONICA Augsburg studies (age 25-74 years) were used to quantify the impact of diabetes mellitus (DM) on the risk of myocardial infarction (MI) and 28-day case fatality. Methods and results: During the 10-year MONICA study period a total of 12,766 persons took part in the CVD risk factor surveys; 551 (men 4.2%, women 3.6%) had DM. A parental history of DM was observed in 33% of the DM and 19% of the non-DM participants with a significantly increased risk profil. During 1985-1994 a total of 9,662 cases with fatal and non-fatal MI were registered; 2,775 (men 24.8%, women 38.2%) had DM. Men with DM showed a 3.7-fold (95% Confidence- Interval 3.5-3.9) and diabetic women showed a 5.9-fold (95% CI 5.5-6.4) increased risk of MI. The diabetic MI patients had a 50% (women) to 70% (men) increased 28-day case fatality (p < 0.001). Conclusions: Aggressive strategies of risk factor prevention should be implemented even in the prediabetic stage, especially in subjects with a positive parental history. Diagnostic guidelines and treatment strategies for DM patients with CHD should be issued by the diabetological and cardiological physicians' associations.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Korrespondenzautor
Schlagwörter Diabetes Mellitus ; Myocardial Infarction ; Population Register ; Prognosis ; Survey
ISSN (print) / ISBN 0942-0037
Zeitschrift Diabetes und Stoffwechsel
Quellenangaben Band: 8, Heft: 1, Seiten: 11-21 Artikelnummer: , Supplement: ,
Verlag Verl. Kirchheim und Co.
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
Department for Medical Information Systems (MEDIS)
Institute of Health Economics and Health Care Management (IGM)