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Enregistrement W1997579132 · doi:10.1186/1710-1492-6-s3-p32

Association of parental FEF25-75% during a methacholine challenge and children's PC20 and diagnosis of asthma

2010· article· en· W1997579132 sur OpenAlexaffvenueabout
Douglas Houlbrook, A.B. Becker, CD Ramsey

Notice bibliographique

RevueAllergy Asthma and Clinical Immunology · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueAsthma and respiratory diseases
Établissements canadiensUniversity of ManitobaChildren's Hospital Research Institute of ManitobaHealth Canada
Organismes subventionnairesnon disponible
Mots-clésMethacholineMedicineAsthmaLung functionPulmonary function testingAirwayAirway hyperresponsivenessLungPediatricsInternal medicineRespiratory diseaseAnesthesia

Résumé

récupéré en direct d'OpenAlex

There is evidence that paternal and maternal lung function influence children's pulmonary function. To date, the most widely used pulmonary function test (PFT) to assess airway responsiveness is the PC20 (concentration of methacholine required to decrease FEV1 by 20%). However, other measures of parental lung function may be better predictors of airway responsiveness or asthma development in their children. The study population included children born in 1995 in Manitoba, who were enrolled in a nested case-control birth cohort study (Study of Asthma Genes and the Environment (SAGE). Both index children and their parents underwent PFTs and methacholine challenges to determine their PC20. Parents often had a normal PC20 but a change in flow at mid-lung volumes (forced expiratory flow at 25-75% vital capacity) was noted. Therefore, we measured parental PC30 (concentration of methacholine required to decrease FEF 25-75% by 30%) and its association with their child's PC20 and physician diagnosed asthma. A positive PC30 was measured at a concentration of ≤ 8 mg/ml. Children were assessed at age 12-13 by a pediatric allergist for a diagnosis of asthma. Odds ratios (OR) were calculated to examine the relationship between parental PC30 and a child's PC20 and asthma. This relationship was further explored by gender. Overall 114 children and their parents were included in this analysis. Of the 114 children, 47 were females (21 asthma) and 67 were boys (23 asthma). No significant relationship was seen between children diagnosed with asthma and having a parent with a PC30 ≤ 8 (OR 1.07; 95% CI 0.49-2.37) or both parents PC30 >8. 112 children [45 females (23 with PC20 ≤ 8) and 67 males (46 with PC20 ≤ 8)] fit the criteria for having a PC20 and participating parents. In children with a PC20 ≤ 8 there was no relationship between having one parent with PC30 ≤ 8 (OR 1.18; 95% CI .54-2.63) or both parents having a PC30 >8. When we examined gender specific relationships, there was no association between fathers PC30 and having a son diagnosed with asthma (OR 1.32; 95% CI 0.5-3.5) or daughters with a diagnosis of asthma (OR 1.07; 95% CI 0.33-3.48). Similarly, there was no significant association between the father's PC30 and their child's PC20 being ≤ 8 mg/ml. In moms with a PC30 ≤ 8 mg/ml there was no association with sons that had a PC20 ≤ 8 mg/ml (OR 1.0; 95% CI 0.51-2.0); However moms with a PC30 ≤ 8 were significantly more likely to have a daughter with a PC20 ≤ 8 (OR 3.56; 95% CI 1.55-8.21). In addition, there was a significant relationship between mom's PC30 being ≤ 8 and a daughter having physician diagnosed asthma (OR2.34; 95% CI 1.04-5.44). The relationship was in the same direction between maternal PC30 and a son's diagnosis of asthma, however this was not significant (OR 2.0; 95% CI 0.99-4.05). There was no relationship between children's asthma and PC20 and parental airway responsiveness measured as PC30. There was a statistically significant relationship between daughter's airway responsiveness and asthma and mothers' airway responsiveness as a PC30 FEF 25-75%. Maternal mid-flow responsiveness may be helpful in identifying risk for the development of pediatric asthma. Mid lung flow changes in mothers may represent a maternal genetic influence on the development of asthma in children.

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 machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,013
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,011
Tête enseignante GPT0,295
Écart entre enseignants0,285 · 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 source (Gemma direct ou Codex distillé), 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

Citations0
Publié2010
Routes d'admission3
Résumé présentoui

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