MétaCan
Menu
Back to cohort
Record W4409864829 · doi:10.2147/jaa.s498269

Association Between Hemoglobin A1c and Pediatric Asthma Control

2025· article· en· W4409864829 on OpenAlexaff
Kirsten Koehler, Han Woo, Tianshi David Wu, A.Y. Qiu, Emily Brigham, Nadia N. Hansel, Meredith C. McCormack

Bibliographic record

VenueJournal of Asthma and Allergy · 2025
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of British Columbia
FundersNational Institute of Environmental Health SciencesEmerson CollectiveJohns Hopkins UniversityAmerican Thoracic Society
KeywordsMedicineAsthmaAssociation (psychology)HemoglobinPediatricsInternal medicine

Abstract

fetched live from OpenAlex

Purpose: To examine the relationship between Hemoglobin A1c (HbA1c) and asthma outcomes in an urban cohort of children with asthma. Methods: The AIRWEIGHS Study was a randomized controlled clinical trial of an air cleaner intervention testing the hypothesis that overweight/obese children would experience greater improvement in asthma control compared to normal weight children. The study enrolled 164 children with asthma from Baltimore, MD and assessed HbA1c levels and asthma outcomes during clinic visits at baseline and three months. HbA1c levels were analyzed as a continuous measure and categorized as either normal (<5.7%) or consistent with pre-diabetes (≥5.7%). Asthma outcomes included standardized questionnaires, spirometry, and fractional exhaled nitric oxide (FeNO). Generalized Estimating Equation (GEE) regression models were used to analyze the association between the HbA1c and asthma outcomes. Results: Participants included 164 children with an average age of 11 (± 2) years, predominately African American (85%), male (59%), moderate or severe asthma by NAEPP criteria (59%), households with an income below $34,999 (60%), publicly insured (83%), and overweight/obese (61%). 52 participants were excluded from the analysis due to unsuccessful blood draws or participant refusal. Twenty of 112 distinct participants (18%) had HbA1c measurements ≥5.7%, consistent with prediabetes. Increased HbA1c levels were associated with worse asthma control as indicated by an increase in the Asthma Therapy Assessment Questionnaire (β-0.74 p<0.05). In the interaction analysis, BMI percentile had a significant interaction with HbA1c such that HbA1c had a stronger association with maximum symptoms days and exacerbation risk among children with lower versus higher BMI percentile values. Conclusion: Higher HbA1c levels were associated with worse asthma control among children with asthma, adding to evidence that metabolic dysfunction may influence asthma morbidity. Additionally, HbA1c could have a stronger influence among non-obese children with underlying metabolic dysfunction, suggesting the need for future studies to investigate metabolic pathways in asthma.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.110
Threshold uncertainty score0.386

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.005
GPT teacher head0.244
Teacher spread0.239 · 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 teacher head, 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Asthma and AllergySame topicAsthma and respiratory diseasesFrench-language works237,207