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Association of a Novel Index of Early-life Growth Conditions With Later-life Lung Structure and Function

2025· article· en· W4410276353 on OpenAlexaffabout
Anne T. Collins, Dennis Jensen, Miranda Kirby, Sanja Stanojevic, Dany Doiron, E.A. Hermann, D.D. Marciniuk, Brandie Walker, Shawn D. Aaron, D. E. O'Donnell, Paul Hernandez, W.-C. Tan, Jean Bourbeau, Yohan Bossé, Benjamin M. Smith

Bibliographic record

VenueAmerican Journal of Respiratory and Critical Care Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de QuébecUniversity of British ColumbiaSt. Paul's HospitalQueen's UniversityToronto Metropolitan UniversityOttawa HospitalMcGill University Health CentreMcGill UniversityUniversity of OttawaRoyal University HospitalDalhousie UniversityUniversity of Calgary
Fundersnot available
KeywordsMedicineLung functionAssociation (psychology)Index (typography)LungInternal medicinePsychotherapist

Abstract

fetched live from OpenAlex

Abstract BACKGROUND: Early-life growth conditions are implicated in later-life lung health, but mechanisms remain uncertain. Standing height is determined in part by early-life growth conditions and by genetics, and the difference between attained height and genotype-predicted height (height-GaP) is associated with adverse early-life growth conditions. This study assessed the relationship of height-GaP with later-life lung structure and function at rest and at peak exercise. METHODS: CanCOLD is a multi-centre Canadian cohort of community-dwelling adults that underwent standardized thoracic computed tomography (CT), incremental cardiopulmonary exercise testing (CPET), full-body plethysmography, diffusing capacity for carbon monoxide (DLCO), and post-bronchodilator spirometry.Genotype-predicted height was calculated using a polygenic height score derived from individual genotype data.Total pulmonary vessel count (TVC), the percentage of emphysema-like lung (log-transformed low attenuation areas <-950 Hounsfield units [LAA-950]), airway-to-lung ratio, total airway count (TAC) and the percentage of high attenuation areas between -600 and -250 Hounsfield units (HAA-600-250) were quantified from CT. CPET was used to determine exertional dyspnea (Borg 0-10 category-ratio scale)/ventilation (V'E) and the peak rate of oxygen consumption (V'O2peak). Linear regression models adjusted for age, age2, sex and genotype-predicted height. RESULTS: Among 1,284 adults, the mean±SD age was 66±10 years and 43% were female. Compared with individuals in the lowest quintile of height-GaP deficit (Q1), those in the highest quintile of height-GaP deficit (Q5) had significantly fewer pulmonary vessels (adjusted mean difference: -1,275 [95%CI: -1764, -784]; p<0.001), lower DLCO (adjusted mean difference: -3.77 mL/min/mmHg [95%CI: -4.96, -2.58]; p<0.001), lower V'O2peak (adjusted mean difference -1.44 mL/kg/min [95%CI: -2.67, -0.20]; p=0.02), and greater dyspnea/V'E (adjusted mean difference: +0.01 Borg/L/min [95%CI: 0.001, 0.02]; p=0.03). There were no differences in post-bronchodilator ratio of forced expiratory volume in 1-second-to-forced vital capacity, LAA-950, visual emphysema, TAC, airway-to-lung ratio, HAA-600-250, or visual interstitial lung disease across quintiles of height-GaP (all p<0.13). Results remained consistent among non-smokers (n=207) and participants with spirometry-defined COPD (n=467). CONCLUSION: Using height-GaP as an index of adverse early-life growth conditions, we observed a pulmonary vascular phenotype among adults in the general population that was characterized by significantly fewer pulmonary blood vessels, lower DLCO, lower exercise capacity and greater exertional dyspnea, but no associations with airflow obstruction or CT-assessed obstructive or restrictive pathology. Future studies replicating and investigating the longitudinal significance of this potential pulmonary vascular phenotype seem warranted.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.111
Threshold uncertainty score0.221

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.309
Teacher spread0.296 · 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".

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Citations0
Published2025
Admission routes2
Has abstractyes

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Same venueAmerican Journal of Respiratory and Critical Care Medicine→Same topicBirth, Development, and Health→French-language works237,207→