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Association of familial history of diabetes or myocardial infarction and stroke with risk of cardiovascular diseases in four German cohorts.

ABSTRACT: Since family history of diabetes is a very strong risk factor for type 2 diabetes, which is one of the most important risk factors for cardiovascular disease (CVD), it might be also useful to assess the risk for CVD. Therefore, we aimed to investigate the relationship between a familial (parents and siblings) history of diabetes and the risk of incident CVD. Data from four prospective German cohort studies were used: EPIC-Potsdam study (n?=?26,054), CARLA study (n?=?1,079), SHIP study (n?=?3,974), and KORA study (n?=?15,777). A multivariable-adjusted Cox regression was performed to estimate associations between familial histories of diabetes, myocardial infarction or stroke and the risk of CVD in each cohort; combined hazard ratios (HRMeta) were derived by conducting a meta-analysis. The history of diabetes in first-degree relatives was not related to the development of CVD (HRMeta 0.99; 95% CI 0.88-1.10). Results were similar for the single outcomes myocardial infarction (MI) (HRMeta 1.07; 95% CI 0.92-1.23) and stroke (HRMeta 1.00; 95% CI 0.86-1.16). In contrast, parental history of MI and stroke were associated with an increased CVD risk. Our study indicates that diabetes in the family might not be a relevant risk factor for the incidence of CVD. However, the study confirmed the relationship between a parental history of MI or stroke and the onset of CVD.

SUBMITTER: Muhlenbruch K

PROVIDER: S-EPMC7505832 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Association of familial history of diabetes or myocardial infarction and stroke with risk of cardiovascular diseases in four German cohorts.

Mühlenbruch Kristin K Menzel Juliane J Dörr Marcus M Ittermann Till T Meisinger Christa C Peters Annette A Kluttig Alexander A Medenwald Daniel D Bergmann Manuela M Boeing Heiner H Schulze Matthias B MB Weikert Cornelia C

Scientific reports 20200921 1

Since family history of diabetes is a very strong risk factor for type 2 diabetes, which is one of the most important risk factors for cardiovascular disease (CVD), it might be also useful to assess the risk for CVD. Therefore, we aimed to investigate the relationship between a familial (parents and siblings) history of diabetes and the risk of incident CVD. Data from four prospective German cohort studies were used: EPIC-Potsdam study (n = 26,054), CARLA study (n = 1,079), SHIP study (n = 3,974 ...[more]

PMID: 32958955

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Project description:Metabolomic approaches in prospective cohorts may offer a unique snapshot into early metabolic perturbations that are associated with a higher risk of cardiovascular diseases (CVD) in healthy people. We investigated the association of 105 serum metabolites, including acylcarnitines, amino acids, phospholipids and hexose, with risk of myocardial infarction (MI) and ischemic stroke in the European Prospective Investigation into Cancer and Nutrition (EPIC)-Potsdam (27,548 adults) and Heidelberg (25,540 adults) cohorts. Using case-cohort designs, we measured metabolites among individuals who were free of CVD and diabetes at blood draw but developed MI (n = 204 and n = 228) or stroke (n = 147 and n = 121) during follow-up (mean, 7.8 and 7.3 years) and among randomly drawn subcohorts (n = 2214 and n = 770). We used Cox regression analysis and combined results using meta-analysis. Independent of classical CVD risk factors, ten metabolites were associated with risk of MI in both cohorts, including sphingomyelins, diacyl-phosphatidylcholines and acyl-alkyl-phosphatidylcholines with pooled relative risks in the range of 1.21-1.40 per one standard deviation increase in metabolite concentrations. The metabolites showed positive correlations with total- and LDL-cholesterol (r ranged from 0.13 to 0.57). When additionally adjusting for total-, LDL- and HDL-cholesterol, triglycerides and C-reactive protein, acyl-alkyl-phosphatidylcholine C36:3 and diacyl-phosphatidylcholines C38:3 and C40:4 remained associated with risk of MI. When added to classical CVD risk models these metabolites further improved CVD prediction (c-statistics increased from 0.8365 to 0.8384 in EPIC-Potsdam and from 0.8344 to 0.8378 in EPIC-Heidelberg). None of the metabolites was consistently associated with stroke risk. Alterations in sphingomyelin and phosphatidylcholine metabolism, and particularly metabolites of the arachidonic acid pathway are independently associated with risk of MI in healthy adults.

Dataset Information

Association of familial history of diabetes or myocardial infarction and stroke with risk of cardiovascular diseases in four German cohorts.

Publications

Association of familial history of diabetes or myocardial infarction and stroke with risk of cardiovascular diseases in four German cohorts.

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