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Record W4281944655 · doi:10.1111/all.15403

Impact of time‐varying confounders on the association between early‐life allergy sensitization and the risk of current asthma: A post hoc analysis of a birth cohort

2022· letter· en· W4281944655 on OpenAlexafffundabout
Arthur H. Owora, Rui Li, Robert S. Tepper, Clare D. Ramsey, Moira Chan‐Yeung, Wade Watson, Allan B. Becker

Bibliographic record

VenueAllergy · 2022
Typeletter
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsDalhousie UniversityUniversity of British ColumbiaUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
FundersCanadian Institutes of Health ResearchAgency for Healthcare Research and QualityBritish Columbia Lung AssociationNational Institutes of HealthManitoba Medical Service FoundationNational Heart, Lung, and Blood InstituteHeart and Stroke Foundation of Canada
KeywordsAsthmaMedicineSensitizationAllergyConfoundingPost-hoc analysisImmunologyInternal medicine

Abstract

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Existing literature on the relationship between early-life (first year of life) allergy sensitization and risk of childhood asthma is mixed.1, 2 This is in part due to the use of statistical analytic methods that ignore changes in both allergy sensitization status and asthma-related treatment exposure that may influence future asthma risk as a child grows older. Our recent disease transition models show that both childhood allergy sensitization and current asthma states (and plausibly related treatment) are time-varying, and the likelihood of a feedback loop cannot be ruled out3; this underscores the analytic challenges associated with evaluating to what extent early-life allergy sensitization may be causally related to childhood asthma development. Moreover, it is unclear if early-life allergen avoidance prevents or merely delays the onset of current asthma into adolescence or adulthood.4 In contrast to traditional discrete-time and longitudinal models (e.g., Generalized Estimating Equations—GEE) used in previous research,1, 2 Marginal Structural Models (MSM) can be used to adjust for time-varying confounding to produce consistent average causal effect estimands.5 Previous simulation studies have demonstrated the superiority of the MSM over traditional longitudinal statistical methodology.5 In this study, we hypothesize that among infants genetically predisposed to asthma, early-life allergy sensitization is associated with an increased risk of current asthma but this risk can be attenuated by allergen avoidance. We carried out a post hoc analysis using the MSM approach to estimate the average causal effect of early-life allergy sensitization and allergen avoidance on the risk of current asthma under the context of dynamic (changing) allergy sensitization-current asthma states in the Canadian Asthma Primary Prevention Study (CAPPS).6 CAPPS was a multifaceted intervention designed to decrease exposure in the first year of infancy to indoor aeroallergens such as house dust mites and pets and to encourage prolonged breastfeeding and delayed introduction of milk and solid foods.6 Current asthma and allergy sensitization were based on a pediatric allergist's clinical decision and skin prick test results, respectively, at age 1-, 2-, 7-, and 15-years. Briefly, MSMs are estimated using an inverse-probability-of-treatment (or exposure) weighted approach5 to remove the effects of time-varying confounders (i.e., post-baseline allergy sensitization and asthma-related treatment states) in the pathway between early-life sensitization and subsequent risk of current asthma (see Appendix S1 for details). The prevalence of current asthma and allergy sensitization varied during follow-up with and without CAPPS exposure (Figures 1, S1 and S2). The prevalence of current asthma did not differ between children sensitized to aeroallergens vs. food allergens in the first 2 years; however, during the 7th and 15th years, the odds of current asthma were six and four-fold higher among children sensitized (vs. un-sensitized) to food and aeroallergens, respectively (Figure S2). These results suggest different profiles of allergy sensitization (define by type and age) may differentially influence or modify the propensity of school-age asthma development. Our MSM model results (Table 1) showed that the odds of current asthma were higher among children with (vs. without) an early-life allergy sensitization (adjusted odds ratio [aOR]: 3.02; 95% CI: 1.51, 6.01) at age 7-years; however, no differences were observed at 15-years (aOR: 2.32; 95% CI: 0.78, 6.85). In contrast, the GEE model results overestimated the strength of this association by 49% at 7-years (aOR: 4.50; 95% CI: 2.53, 8.00) and incorrectly estimated its precision at 15-years (aOR: 2.03; 95% CI: 1.02, 4.04). Overall, the odds of current asthma were lower among children randomized to the CAPPS intervention (aOR: 0.69; 95% CI: 0.51, 0.93). Female children had 28% lower odds of current asthma than male children (aOR: 0.72; 95% CI: 0.53, 0.98). Our results suggest that early life is an etiologically critical window during which allergy sensitization may induce pathogenesis towards school-age asthma onset irrespective of whether the pattern of sensitization is transient or persistent. Conversely, allergen avoidance during this period may reduce the risk of current asthma. Discrepancies between our GEE and MSM results for these competing risk and protective effects on current asthma suggest that confounding due to time-varying allergy sensitization states and asthma-related treatment exposure may explain some of the null associations reported in previous research.1, 2 This underscores the need to adjust for time-varying confounders when investigating the association between current asthma and suspected risk and protective factors under dynamic risk contexts. Our findings (i.e., allergy sensitization—current asthma induction period and early-life as a critical etiologic window with intervention potential) may be generalizable to both developed and less developed countries; however, interpretation of similar analyses in these heterogenous populations should not preclude an examination of potential effect moderation/modification by environmental factors. In the absence of randomized baseline exposures (e.g., allergy sensitization), MSMs hold promise for the elucidation of childhood asthma causal mechanisms needed to inform the timing and strategies for preventive intervention. We thank the Canadian Asthma Primary Prevention Study families, Meghan B. Azad, study coordinators (Rishma Chooniedass, RN, BN, CAE, Department of Pediatrics and Child Health, University of Manitoba; Marilyn Lilley, RN, Department of Pediatrics and Child Health, University of Manitoba; and Roxanne Rousseau, BSc, CCRP, Department of Medicine, University of British Columbia), and the Canadian Asthma Primary Prevention Study research team, whose commitment and hard work have made this research possible. Open access funding enabled and organized by ProjektDEAL. All authors have no financial conflict of interest and nothing to disclose. Appendix S1 Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.

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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)0.001
metaresearch head score (Gemma)0.001
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 score0.308
Threshold uncertainty score0.670

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.260
Teacher spread0.248 · 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".

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Citations3
Published2022
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