Adverse outcomes among pregnant women with <scp>COVID</scp> ‐19 according to hospitalization status: A prospective individual participant data meta‐analysis in Europe and North America
Notice bibliographique
Résumé
Abstract Background Understanding the varied impact of COVID‐19 severity on pregnancy outcomes is crucial for informed clinical management and targeted interventions. Objective To evaluate the impact of COVID‐19 on pregnancy outcomes, distinguishing between pregnant women managed in primary care and those requiring hospitalization. Search Strategy Regulatory authorities actively promoted global cooperation on COVID‐19's impact during pregnancy. Data were obtained through these regulatory bodies and direct researcher communication rather than through systematic searches. Selection Criteria Data sources required secondary population‐based data to identify pregnancies with COVID‐19, along with hospitalization, diagnostic and medication codes. Eligibility for the meta‐analysis was determined through protocol evaluation and researcher consultations. Data Collection and Analysis PRISMA‐IPD and Cochrane guidelines for prospective meta‐analysis were followed. Protocols and definitions were standardized across sources, and a common R script was developed. Initially, crude and adjusted relative risks (aRR) with 95% confidence intervals (CI) were calculated to assess adverse outcomes in pregnant women with and without COVID‐19 in each data source. Estimates were stratified by trimester at infection and hospitalization status. Subsequently, data were pooled using a random‐effects meta‐analysis. Main Results Data from 10 sources across seven countries contributed to the meta‐analysis, including 86 210 pregnant women diagnosed with COVID‐19, of whom 4.4% were hospitalized. Non‐hospitalized pregnant women with COVID‐19 had no increased risks of adverse outcomes compared to pregnant women without COVID‐19. However, hospitalized women with COVID‐19 in each trimester had higher risks of cesarean section, preterm birth, and LBW compared to pregnant women without COVID‐19. Hospitalization due to COVID‐19 in the third trimester was associated with increased risk of stillbirth (aRR 5.90, 95% CI: 2.22–15.71, I 2 = 0%). First‐trimester hospitalizations due to COVID‐19 did not show heightened risks of GDM (aRR 2.08, 95% CI: 0.93–4.64, I 2 = 65%), pre‐eclampsia (aRR 1.79, 95% CI: 0.48–6.66, I 2 = 71%), or major congenital anomalies (aRR 1.30, 95% CI: 0.55–3.06, I 2 = 0%). Conclusions and Relevance COVID‐19 requiring hospitalization is associated with adverse pregnancy outcomes, emphasizing the need to prevent severe illness during pregnancy. This study also highlights the importance of international collaboration for gathering pregnancy data and shows that building global research networks is essential for responding to future health crises.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,002 | 0,004 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».