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Enregistrement W4366158320 · doi:10.1101/2023.04.14.23288565

Stillbirths: contribution of preterm birth and size-for-gestational age for 119.6 million total births from nationwide records in 12 countries, 2000 to 2020

2023· preprint· en· W4366158320 sur OpenAlexaff
Yemisrach B. Okwaraji, Lorena Suárez‐Idueta, E. Ohuma, Edwin L. Bradley, Judith Yargawa, Verónica Pingray, Gabriela Cormick, Adrienne Gordon, Vicki Flenady, Erzsébet Horváth–Puhó, Henrik Toft Sørensen, L. Sakeus, Liili Abuladze, Mohammad Heidarzadeh, Narjes Khalili, Khalid Yunis, Ayah Al Bizri, SD. Karalasingam, A. Barranco, Aimée E. van Dijk, Lisa Broeders, Fawziya Alyafei, Mai AlQubaisi, Neda Razaz, Jonas Söderling, Lucy Smith, Ruth Matthews, Rachael Wood, Kirsten Monteath, Isabel Pereyra, Gabriella Pravia, Sarka Lisonkova, Qi Wen, Joy E Lawn, Hannah Blencowe

Notice bibliographique

RevuemedRxiv · 2023
Typepreprint
Langueen
DomaineMedicine
ThématiqueGlobal Maternal and Child Health
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesChildren's Investment Fund Foundation
Mots-clésInterquartile rangeMedicineGestational ageObstetricsSmall for gestational agePopulationGestationPregnancyBirth weightPediatricsInternal medicineBiologyEnvironmental health

Résumé

récupéré en direct d'OpenAlex

ABSTRACT Objective To examine the contribution of preterm birth and size-for-gestational age in stillbirths using six ‘newborn types’. Design Population-based multi-country analyses. Setting Births collected through routine data systems in 12 countries. Sample 119,644,788 total births from 22 +0 to 44 +6 weeks gestation identified from 2000 to 2020. Methods We included 605,557 stillbirths from 22 +0 weeks gestation from 12 countries. We classified all births, including stillbirths, by six ‘newborn types’ based on gestational age information (preterm, PT, <37 +0 weeks vs term, T, ≥37 +0 weeks) and size-for-gestational age defined as small (SGA, <10 th centile), appropriate (AGA, 10 th -90 th centiles), or large (LGA, >90 th centile) for gestational age, according to the international newborn size for gestational age and sex INTERGROWTH-21 st standards. Main Outcome Measures Distribution of stillbirths, stillbirth rates and rate ratios according to six newborn types. Results 605,557 (0.50%) of the 119,644,788 total births resulted in stillbirth after 22 +0 weeks. Most stillbirths (74.3%) were preterm. Around 21.0% were SGA types (PT+SGA (16.0%), T+SGA (5.0%)) and 14.3% were LGA types (PT+LGA (10.1%), T+LGA (4.2%)). The median rate ratio (RR) for stillbirth was highest in PT+SGA babies (RR=78.8, interquartile range (IQR), 68.2, 111.5) followed by PT+AGA (RR=24.5, IQR, 19.3, 29.4), PT+LGA (RR=23.0, IQR,13.7, 29.0) and T+SGA (RR=5.5, IQR, 5.0, 6.0) compared with T+AGA. Stillbirth rate ratios were similar for T+LGA vs T+AGA (RR=0.7, IQR, 0.7, 1.1). At the population level, 21.5% of stillbirths were attributable to small-for-gestational-age. Conclusions In these high-quality data from high/middle income countries, almost three quarters of stillbirths were born preterm and a fifth were small-for-gestational age, with the highest stillbirth rates associated with the coexistence of preterm and SGA. Further analyses are needed to better understand patterns of gestation-specific risk in these populations, and also patterns in lower-income contexts, especially those with higher rates of intrapartum stillbirth and SGA. Funding The Children’s Investment Fund Foundation, 1803-02535 KEY FINDINGS 1. WHAT WAS KNOWN? Stillbirth (pregnancy loss after 22 +0 weeks) is a devastating outcome. Global estimates indicating 1.9 million late gestation stillbirths (≥28 +0 weeks) worldwide in 2021 underestimate the overall burden. Many of the pathways to stillbirth result in fetal death before term (preterm stillbirth, <37 +0 weeks of gestational age). In addition, babies with fetal growth restriction (frequently assessed using the proxy small for gestational age (SGA, <10 th centile)) are at higher risk of stillbirth than their appropriately grown peers. Stillbirths are therefore more likely to be low birthweight (LBW, <2,500g). Being large for gestational age (LGA, >90 th centile) at term may also be associated with increased risk of stillbirth. 2. WHAT WAS DONE THAT IS NEW? Combining information on gestational age (preterm (PT), or term (T)) and attained size for-gestational-age (small-for-gestational-age (SGA), appropriate-for-gestational age (AGA), large-for-gestational age (LGA)) we defined six ‘newborn types’: four small (PT+SGA, PT+AGA, PT+LGA, T+SGA), one large (T+LGA), and one reference (T+AGA). We compiled livebirth and stillbirth data from 15 high- and middle-income countries as part of the Vulnerable Newborn Collaboration. A total of 119,039,231 livebirths and 605,557 stillbirths ≥22 +0 weeks from 12 countries between 2000 and 2020 met the inclusion criteria. We examined the distribution of stillbirths by these ‘newborn types’, and calculated type-specific stillbirth rates and rate ratios. 3. WHAT WAS FOUND? Most stillbirths (74.3%) were preterm, compared to fewer than 1-in-10 (9.0%) livebirths. A fifth (21.0%) of stillbirths were SGA compared to 1-in-20 (5.4%) livebirths. Preterm SGA had 78.8 times higher stillbirth rates compared to term AGA (Rate ratio (RR)=78.8, interquartile range (IQR), 68.2,111.5). Overall, preterm types had a 25 times higher stillbirth rate than term types (RR=25.0, IQR,20.1, 29.5). At the population level, over a fifth of stillbirths (21.5%) were attributable to being SGA, indicating a substantial impact of growth restriction on stillbirth in these settings. 14.3% of stillbirths and 17.5% of livebirths were LGA. There was no evidence of increased stillbirth rates for LGA types. The distribution of these ‘newborn types’ are similar amongst stillbirths and neonatal deaths. 4. WHAT NEXT? Categorisation of all births, including stillbirths, into these ‘newborn types’ was analytically possible using routinely collected data in these 12 upper-middle- or high-income contexts and led to programmatic relevant findings. However, as the majority (98%) of the world’s stillbirths are in low-and middle-income countries, more data are needed to improve understanding of patterns in stillbirths in a wider range of contexts, especially in settings with higher rates of intrapartum stillbirth and those with very high SGA rates such as South Asia. Further analyses, including assessing gestational age-specific risk, could provide more information on pathways to stillbirth and enable targeted interventions to underlying causes such as infection and obstetric complications. When analysing these vulnerability pathways, omitting stillbirths neglects an important part of the burden and its effects on families and society.

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)0,003
score de la tête « metaresearch » (Gemma)0,008
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 enseignants0,026
Score d'incertitude au seuil0,051

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,008
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0030,005
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0010,001
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 Opus0,018
Tête enseignante GPT0,292
Écart entre enseignants0,273 · 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

Citations5
Publié2023
Routes d'admission1
Résumé présentoui

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