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Enregistrement W7038394765

Influenza illness and influenza vaccination during pregnancy and risk of preterm birth and fetal death

2016· dissertation· en· W7038394765 sur OpenAlexaboutno aff

Notice bibliographique

RevueeScholarship@McGill (McGill) · 2016
Typedissertation
Langueen
DomaineSocial Sciences
ThématiqueSocial impacts of COVID-19
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésVaccinationPregnancyInfluenza vaccinePandemicIncidence (geometry)Cohort studyPopulationFetusImmunization
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Pregnant women are considered a high-risk group for serious influenza illness and influenza-related complications. The World Health Organization and many high-income countries currently advise vaccination of pregnant women with inactivated influenza vaccine in any trimester. Although the primary goal of influenza vaccine recommendations is to directly protect pregnant women from influenza disease, recent observational studies have suggested that maternal influenza immunization could additionally protect against adverse pregnancy outcomes such as preterm birth and fetal death. The biologic plausibility of such findings depends on there being an adverse effect of maternal influenza disease on fetal health, but high‐quality evidence for this association is lacking. The overall aim of my doctoral research was to explore the risk of preterm birth and fetal death in relation to maternal influenza illness and maternal influenza vaccination during pregnancy, with emphasis on the 2009 H1N1 influenza pandemic.The first objective of this thesis was to summarize, through a systematic evidence review, comparative studies evaluating fetal death or preterm birth associated with influenza vaccination during pregnancy. We were unable to perform meta-analyses due to high clinical and statistical heterogeneity, but found that while most studies reported no association between preterm birth or fetal death and influenza vaccination during pregnancy, several reported significant risk reductions. The second objective of this thesis was to assess the association between 2009 pandemic H1N1 (pH1N1) influenza illness during pregnancy and perinatal outcomes using a retrospective cohort study design which accounted for the time-dependent nature of influenza and changing incidence of perinatal outcomes. In the overall obstetrical population of Ontario, there was no association between clinically-diagnosed pH1N1 influenza and preterm birth or spontaneous preterm birth, but among women with pre-existing medical conditions such as asthma, a diagnosis of influenza was associated with increased risk of preterm birth (adjusted hazard ratio [aHR]=1.54, 95% confidence interval [CI]: 1.09–2.17) and spontaneous preterm birth (aHR=1.72, 95% CI: 1.12–2.65), compared with unexposed pregnancy time. Motivated by limitations in individual-level measures of influenza illness and by the distinct temporal features of influenza viral activity, the third objective was to assess the association between an ecologic measure of influenza virus circulation and short-term variation in population-level rates of adverse perinatal outcomes using a time-series study design. Across a ten-year period in Ontario, the rate of preterm birth was not associated with circulating influenza in the week preceding birth (adjusted rate ratio: 1.01, 95% CI: 1.00–1.02), nor with the level of circulating influenza during the first month of gestation. Collectively, the results from this thesis suggest that influenza disease is not a major contributor to preterm birth in the Ontario obstetrical population, including during the 2009 H1N1 pandemic, when the health of pregnant women was of unprecedented high concern. High-quality data on the relationship between maternal influenza disease and adverse perinatal outcomes are critical for clarifying expectations for improved perinatal outcomes following maternal influenza immunization. Although influenza immunization during pregnancy is efficacious in preventing influenza disease in mothers and their newborns, considering the multifactorial etiology of adverse outcomes such as preterm birth, low prevalence of influenza during pregnancy and lack of consistent evidence that fetal health is adversely affected by maternal influenza disease, immunization would not be expected to produce a large improvement in perinatal outcomes to the extent suggested by some studies.

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)0,006
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Études des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,757
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0030,000
Communication savante0,0000,002
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,022
Tête enseignante GPT0,311
Écart entre enseignants0,289 · 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.

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
Publié2016
Routes d'admission1
Résumé présentoui

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