Evidence map›Paper›PMID 39968904›Full record

ArticleEuropean journal of preventive cardiology2025

Residential exposome and the risk of coronary obstruction and myocardial ischaemia detected by coronary computed tomography.

Tom De Potter, Andreea Motoc, Els Verachtert, Hans Hooyberghs, Kaoru Tanaka, Dries Belsack, Diederik De Cock, Frans Fierens, Toshimitsu Tsugu, Tim Nawrot and 3 more

Abstract read
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In one paragraph

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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Tom De PotterDepartment of Cardiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, Brussels 1090, Belgium.ORCID 0000-0001-9717-3917
Andreea MotocDepartment of Cardiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, Brussels 1090, Belgium.
Els VerachtertVITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Hans HooyberghsVITO Health, Flemish Institute for Technological Research (VITO), Mol, Belgium.
Kaoru TanakaDepartment of Radiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium.ORCID 0000-0001-5533-3185
Dries BelsackDepartment of Radiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium.ORCID 0000-0002-8652-2859
Diederik De CockBiostatistics and Medical Informatics Research Group, Department of Public Health, Vrije Universiteit Brussel, Brussels, Belgium.
Frans FierensBelgian Interregional Environment Agency, Brussels, Belgium.
Toshimitsu TsuguDepartment of Radiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium.
Tim NawrotCentre for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.
Marc ClaeysDepartment of Cardiology, Antwerp University Hospital, Edegem, Belgium.
Bernard CosynsDepartment of Cardiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, Brussels 1090, Belgium.
Jean-François ArgachaDepartment of Cardiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Laarbeeklaan 101, Brussels 1090, Belgium.

Funding

Department of CareFlemish GovernmentGezond LevenJoseph Oscar Waldmann-Berteau & Walckiers Van Dessel FundsKing Baudouin FoundationPartnerorganisatie MilieugezondheidszorgPIHVITO
6 · The paper itself

Abstract

aimsTo assess independent impacts of air and noise pollution and residential green exposure on non-invasively derived coronary obstruction and myocardial ischaemia. METHODS AND

resultsConsecutive patients screened by coronary computed tomography angiography (CCTA) for stable chest pain between 1 January 2019 and 31 December 2020 were included in a registry. Exposure associations between residential PM2.5 (particulate matter <2.5 μm), NO2 (nitric dioxide), major road distance, airport distance, normalized difference vegetation index, obstructive coronary artery disease (OCAD, stenosis ≥50%), and abnormal fractional flow reserve (FFRCT ≤80%) measurements were assessed by propensity score (PS)-adjusted logistic regression. A subgroup analysis was performed according to Framingham low (<10%) and high (>20%) 10-year coronary heart disease risk categories. A total of 2620 patients were enrolled, including 420 (16%) FFRCT analyses. OCAD was reported in 518 (20%) patients and abnormal FFRCT in 276 (11%). People with OCAD lived closer to the airport [10.841 (7.869-19.022) km vs. 12.297 (8.691-22.843) km, P < 0.001). People living closer to the airport had more cardiovascular (CV) and socio-economic risk factors. Distance to airport decreased OCAD risk (OR 0.983, 95% CI 0.974-0.992, per 1 km) in univariable analysis. After PS adjustment, environmental stressors were not significantly associated with OCAD, regardless of risk categories. Only distance to major road decreased abnormal FFRCT risk (OR 0.634, 95% CI 0.421-0.926, per 1 km) in high-risk patients after PS adjustment.

conclusionWe found no clear environmental associations with CT-derived coronary obstruction or ischaemia. However, airport proximity was linked to OCAD risk via CV and socio-economic factors, while major road proximity was independently associated with myocardial ischaemia in high-CV-risk patients, warranting further investigation.

Indexed as

Air PollutionComputed Tomography AngiographyCoronary AngiographyCoronary OcclusionEnvironmental ExposureMyocardial IschemiaAgedFemaleFractional Flow Reserve, MyocardialHumansMaleMiddle AgedParticulate MatterRegistriesRetrospective StudiesRisk AssessmentParticulate MatterAir PollutionComputed Tomography AngiographyCoronary Artery DiseaseEnvironmental ExposureFractional Flow ReserveMyocardialMyocardial Ischaemia

Identifiers

PMID39968904

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Registered trials

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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.