Literature DB >> 19603150

Differences in trends in estimated incidence of myocardial infarction in non-diabetic and diabetic people: Monitoring Trends and Determinants on Cardiovascular Diseases (MONICA)/Cooperative Health Research in the Region of Augsburg (KORA) registry.

A Icks1, T Dickhaus, A Hörmann, M Heier, G Giani, B Kuch, C Meisinger.   

Abstract

AIMS/HYPOTHESIS: One major objective of the St Vincent Declaration was to reduce the excess risk of myocardial infarction in patients with diabetes mellitus. We estimated the trend of the incidence and relative risk of myocardial infarction in the diabetic and non-diabetic populations in southern Germany from 1985 to 2006.
METHODS: Using data from the Monitoring Trends and Determinants on Cardiovascular Diseases (MONICA)/Cooperative Health Research in the Region of Augsburg (KORA) Project in southern Germany, we ascertained all fatal and non-fatal first myocardial infarctions between 1985 and 2006 (n = 14,891, age 25-74 years). We estimated the diabetic and the non-diabetic populations using data on diabetes prevalence from surveys, and evaluated incidence of myocardial infarction in the two estimated populations. To test for time trends, we fitted Poisson regression models.
RESULTS: Of individuals with first myocardial infarction, 71% were male and 28% known to have diabetes. In the non-diabetic population, myocardial infarction incidence decreased by about 1.5% to 2.0% per year. A comparable decrease was seen in the population of diabetic women. However, in the population of diabetic men, incidence of myocardial infarction increased by about 1% per year. Over the whole study period, myocardial infarction incidence decreased by 34% and 27% in non-diabetic men and women respectively (RR 0.66, 95% CI 0.59-0.74 and 0.73, 0.62-0.87 respectively). In diabetic women, it decreased by 27% (RR 0.73, 0.61-0.88), whereas in diabetic men, it increased by 25% (RR 1.25, 1.07-1.45). CONCLUSIONS/
INTERPRETATION: Our results suggest that the St Vincent goal of reducing excess cardiovascular morbidity in diabetic individuals has not been achieved and that the situation in men has actually got worse.

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Year:  2009        PMID: 19603150     DOI: 10.1007/s00125-009-1434-4

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  25 in total

1.  The impact of diabetes on survival among patients with first myocardial infarction.

Authors:  B Y Chun; A J Dobson; R F Heller
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2.  Impact of the increasing burden of diabetes on acute myocardial infarction in New York City: 1990-2000.

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3.  Contribution of trends in survival and coronary-event rates to changes in coronary heart disease mortality: 10-year results from 37 WHO MONICA project populations. Monitoring trends and determinants in cardiovascular disease.

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4.  Favourable trends in the incidence and outcome of myocardial infarction in nondiabetic, but not in diabetic, subjects: findings from the MONICA myocardial infarction registry in northern Sweden in 1989-2000.

Authors:  A Rautio; V Lundberg; T Messner; S Nasic; B Stegmayr; M Eliasson
Journal:  J Intern Med       Date:  2005-10       Impact factor: 8.989

5.  Trends in the mortality burden associated with diabetes mellitus: a population-based study in Rochester, Minn, 1970-1994.

Authors:  Randal J Thomas; Pasquale J Palumbo; L Joseph Melton; Véronique L Roger; Jeanine Ransom; Peter C O'Brien; Cynthia L Leibson
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6.  Secular decline in mortality from coronary heart disease in adults with diabetes mellitus: cohort study.

Authors:  Ane Cecilie Dale; Lars J Vatten; Tom Ivar Nilsen; Kristian Midthjell; Rune Wiseth
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7.  Diabetes prevalence and association with social status--widening of a social gradient? German national health surveys 1990-1992 and 1998.

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8.  20-year trends in clinical characteristics, therapy and short-term prognosis in acute myocardial infarction according to presenting electrocardiogram: the MONICA/KORA AMI Registry (1985-2004).

Authors:  B Kuch; M Heier; W von Scheidt; B Kling; A Hoermann; C Meisinger
Journal:  J Intern Med       Date:  2008-04-04       Impact factor: 8.989

9.  Case finding, data quality aspects and comparability of myocardial infarction registers: results of a south German register study.

Authors:  H Löwel; M Lewis; A Hörmann; U Keil
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10.  Improved survival in both men and women with diabetes between 1980 and 2004--a cohort study in Sweden.

Authors:  Mats Eliasson; Mats Talbäck; Måns Rosén
Journal:  Cardiovasc Diabetol       Date:  2008-10-20       Impact factor: 9.951

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  10 in total

1.  Mortality after first myocardial infarction in diabetic and non-diabetic people between 1985 and 2009. The MONICA/KORA registry.

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Review 2.  Type 2 diabetes: prevalence and relevance of genetic and acquired factors for its prediction.

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3.  Changes in diabetes care indicators: findings from German National Health Interview and Examination Surveys 1997-1999 and 2008-2011.

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4.  Incidence and relative risk of stroke in the diabetic and the non-diabetic population between 1998 and 2014: A community-based stroke register.

Authors:  Andrea Icks; Heiner Claessen; Tatjana Kvitkina; Maria Narres; Michael Weingärtner; Stefan Schwab; Peter L Kolominsky-Rabas
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5.  Regional differences of macrovascular disease in Northeast and South Germany: the population-based SHIP-TREND and KORA-F4 studies.

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6.  Learning types and learning success in a structured diabetes education programme for patients with type 2 diabetes: study protocol of a prospective, longitudinal study.

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7.  Social inequality and diabetes mellitus - developments over time among the adult population in Germany.

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8.  Incidence of myocardial infarction in people with diabetes compared to those without diabetes: a systematic review protocol.

Authors:  Maria Narres; Tatjana Kvitkina; Heiner Claessen; Ellen Ubach; Georg Wolff; Maria-Inti Metzendorf; Bernd Richter; Andrea Icks
Journal:  Syst Rev       Date:  2022-05-12

9.  Symptoms of Insomnia and Sleep Duration and Their Association with Incident Strokes: Findings from the Population-Based MONICA/KORA Augsburg Cohort Study.

Authors:  A Katharina Helbig; Doris Stöckl; Margit Heier; Karl-Heinz Ladwig; Christa Meisinger
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10.  How do patients with diabetes report their comorbidities? Comparison with administrative data.

Authors:  Jonas Hoffmann; Burkhard Haastert; Manuela Brüne; Matthias Kaltheuner; Alexander Begun; Nadja Chernyak; Andrea Icks
Journal:  Clin Epidemiol       Date:  2018-04-30       Impact factor: 4.790

  10 in total

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