Evidence map›Paper›PMID 38722824›Full record

ArticleEuropean journal of preventive cardiology2025

Modifiable risk factors and risk of myocardial infarction in offspring with parental disease.

Amalie Lykkemark Møller, Martin G Larson, Vanessa Xanthakis, Ramachandran S Vasan, Charlotte Andersson

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Article in European journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Amalie Lykkemark MøllerSection of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Boston, 02118 MA, USA.ORCID 0000-0003-2952-2809
Martin G LarsonBoston University's and National Heart, Lung, and Blood Institute's Framingham Heart Study, 73 Mt Wayte Avenue, Framingham, 01702 MA, USA.
Vanessa XanthakisSection of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Boston, 02118 MA, USA.ORCID 0000-0002-7352-621X
Ramachandran S VasanSection of Preventive Medicine and Epidemiology, Department of Medicine, Boston University School of Medicine, 72 E Concord Street, Boston, 02118 MA, USA.ORCID 0000-0001-7357-5970
Charlotte AnderssonCenter for Advanced Heart Disease, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, 02115 MA, USA.ORCID 0000-0001-6019-8627

Funding

Aalborg UniversityDanish Heart FoundationDepartment of Medicine, Boston University School of MedicineDirektør Ib Henriksens FoundationEvans Medical FoundationJay and Louis Coffman EndowmentKnud Højgaards FoundationNational Heart, Lung and Blood InstituteWilliam Demant Foundation
6 · The paper itself

Abstract

aimsChildren of patients with early-onset myocardial infarction (MI) are at increased risk, but the importance of concordant vs. discordant parent-offspring risk factor profiles on MI risk is largely unknown. We quantified the long-term absolute risk of MI according to shared risk factors in adulthood. METHODS AND

resultsWe sampled data on familial predisposed offspring and their parents from the Framingham Heart Study. Early MI was defined as a history of parental MI onset before age 55 in men or 65 in women. Individuals were matched 3:1 with non-predisposed offspring. Cardiovascular risk factors included obesity, smoking, hypertension, high cholesterol, and diabetes. We estimated the absolute 20-year incidence of MI using the Aalen-Johansen estimator. At age 40, the 20-year risk of MI varied by cholesterol level [high cholesterol 25.7% (95% confidence interval 11.2-40.2%) vs. non-high cholesterol 3.4% (0.5-6.4)] among predisposed individuals, and this difference was greater than in controls [high cholesterol 9.3% (1.5-17.0) vs. non-high cholesterol 2.5% (1.1-3.8)]. Similar results were observed for prevalent hypertension [26.7% (10.8-42.5) vs. 4.0% (0.9-7.1) in predisposed vs. 10.8% (3.2-18.3) and 2.1% (0.8-3.4) in controls]. Among offspring without risk factors, parental risk factors carried a residual impact on 20-year MI risk in offspring [0% (0-11.6) for 0-1 parental risk factors vs. 3.3% (0-9.8) for ≥2 parent risk factors at age 40, vs. 2.9% (0-8.4) and 8.5% (0-19.8) at age 50 years].

conclusionChildren of patients with early-onset MI have low absolute risks of MI in the absence of midlife cardiovascular risk factors, especially if the parent also had a low risk factor burden prior to MI.

Indexed as

Child of Impaired ParentsMyocardial InfarctionAdultAge of OnsetCase-Control StudiesFemaleGenetic Predisposition to DiseaseHeart Disease Risk FactorsHeredityHumansHypertensionIncidenceMaleMassachusettsMiddle AgedParentsFamilial predispositionMyocardial infarctionPreventionRisk factorsRisk stratification

Identifiers

PMID38722824
PMCPMC11770922

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.