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Record W4294169513 · doi:10.1101/2022.08.29.22279358

Ambient Air Pollution and Subclinical Cardiovascular Disease Measured by Magnetic Resonance Imaging in the Canadian Alliance for Healthy Hearts and Minds Study

2022· preprint· en· W4294169513 on OpenAlexaffabout
Sandi M. Azab, Karleen Schulze, Jeffrey R. Brook, Dany Doiron, Eric E. Smith, Alan R. Moody, Dipika Desai, Michael Bräuer, Matthias G. Friedrich, Shrikant I. Bangdiwala, Dena Zeraatkar, Douglas S. Lee, Sonia S. Anand, Russell J. de Souza

Bibliographic record

VenuemedRxiv · 2022
Typepreprint
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsHealth Sciences CentreSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesMcGill UniversityMcGill University Health CentreUniversity of British ColumbiaPublic Health OntarioUniversity of TorontoPopulation Health Research InstituteMcMaster UniversityUniversity of CalgaryImpact
Fundersnot available
KeywordsSubclinical infectionMedicineCohortAir pollutionEnvironmental healthPollutantOzoneAir pollutantsInternal medicineMeteorologyGeographyChemistry

Abstract

fetched live from OpenAlex

Abstract Background Long-term exposure to air pollution, even at levels below regulatory standards, has been associated with higher risk of cardiovascular-related mortality. Less is known about the association of air pollution and initial development of CVD in low-exposure settings in generally healthy human populations. Objective In the Canadian Alliance for Healthy Hearts and Minds Cohort Study (CAHHM), we aimed to investigate the association between low-level exposure to key air pollutants and subclinical carotid atherosclerosis in adults without known clinical CVD. To date, the association of ambient air pollution and atherosclerosis measured by magnetic resonance imaging (MRI) has not been studied. Methods We studied 6,645 Canadian adults recruited between 2014-2018 from the provinces of British Columbia, Alberta, Ontario, Quebec, and Nova Scotia, for whom average long-term exposures to nitrogen dioxide (NO 2 ), ozone (O 3 ), and fine particulate matter (PM 2.5 ) were estimated for five years prior to the start of CAHHM recruitment, and who underwent MRI to assess carotid vessel wall volume (CWV). Linear mixed models were used to quantify associations between each air pollutant and CWV adjusting for individual-level and community-level risk factors for CVD. Secondary analyses included region-specific stratification and modeling the effect of one pollutant on CWV within low, medium, and high levels of a second pollutant to test for interactions. Results Higher PM 2.5 was nominally associated with lower CWV (quintile 5: 893.3 mm 3 , quintile 1: 908.8 mm 3 ; p-trend =0.05), but this was not robust in region-stratified analysis. Higher NO 2 was associated with lower CWV (quintile 5: 889.5 mm 3 , quintile 1: 918.6 mm 3 ; p-trend <.0001). Higher O 3 was associated with higher CWV (quintile 5: 925.4 mm 3 , quintile 1: 899.7 mm 3 ; p-trend =0.02). NO 2 emerged as a consistent effect modifier of both PM 2.5 and O 3. Conclusion In a cohort of generally healthy adults living in Canada, a country with relatively low levels of air pollution, exposure to NO 2 was negatively associated, and O 3 was positively associated with CWV as a measure of subclinical atherosclerosis by MRI, while associations to PM 2.5 were inconsistent. The reasons for these associations warrant further study.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.318
Teacher spread0.261 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

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