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Enregistrement 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 sur OpenAlexafffundabout
Arthur H. Owora, Rui Li, Robert S. Tepper, Clare D. Ramsey, Moira Chan‐Yeung, Wade Watson, Allan B. Becker

Notice bibliographique

RevueAllergy · 2022
Typeletter
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensDalhousie UniversityUniversity of British ColumbiaUniversity of ManitobaChildren's Hospital Research Institute of Manitoba
Organismes subventionnairesCanadian 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
Mots-clésAsthmaMedicineSensitizationAllergyConfoundingPost-hoc analysisImmunologyInternal medicine

Résumé

récupéré en direct d'OpenAlex

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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,308
Score d'incertitude au seuil0,670

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,012
Tête enseignante GPT0,260
Écart entre enseignants0,248 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2022
Routes d'admission3
Résumé présentoui

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