sthma and incident coronary heart disease: an observational and Mendelian randomisation study.

Valencia-Hernández CA., Del Greco M F., Sundaram V., Portas L., Minelli C., Bloom CI.

BackgroundObservational studies suggest asthma is a risk factor for coronary heart disease (CHD) and sex modifies the risk, but they may suffer from methodological limitations. To overcome these, we applied a "triangulation approach", where different methodologies, with different potential biases, were leveraged to enhance confidence in findings.MethodsFirst, we conducted an observational study using UK medical records to match asthma patients 1:1, by age, sex and general practitioner (GP) practice, to the general population. We measured the association between asthma and incident CHD (myocardial infarction: hospitalisation/death) by applying minimal sufficient adjustment: model 1, smoking, body mass index, oral corticosteroids, atopy and deprivation; model 2, additionally adjusting for healthcare behaviour (GP consultation frequency). Second, we conducted a Mendelian randomisation (MR) study using data from the UK Biobank, Trans-National Asthma Genetic Consortium (TAGC) and Coronary Artery Disease Genome-wide Replication and Meta-analysis consortium (CARDIoGRAM). Using 64 asthma single nucleotide polymorphisms, the effect of asthma on CHD was estimated with inverse variance-weighted meta-analysis and methods that adjust for pleiotropy.ResultsIn our observational study (n=1 522 910), we found asthma was associated with 6% increased risk of CHD (model 1: HR 1.06, 95% CI 1.01-1.13); after accounting for healthcare behaviour, we found no association (model 2: HR 0.99, 95% CI 0.94-1.05). Asthma severity did not modify the association, but sex did (females: HR 1.11, 95% CI 1.01-1.21; males: HR 0.91, 95% CI 0.84-0.98). Our MR study (n=589 875) found no association between asthma and CHD (OR 1.01, 95% CI 0.98-1.04) and no modification by sex.ConclusionsOur findings suggest that asthma is not a risk factor for CHD. Previous studies may have suffered from detection bias or residual confounding.

DOI

10.1183/13993003.01788-2023

Type

Journal article

Publication Date

2023-11-01T00:00:00+00:00

Volume

62

Addresses

National Heart and Lung Institute, Imperial College London, London, UK.

Keywords

Humans, Asthma, Myocardial Infarction, Analysis of Variance, Risk Factors, Polymorphism, Single Nucleotide, Female, Male, Coronary Artery Disease, Genome-Wide Association Study, Mendelian Randomization Analysis

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