Unfolding the mystery of preterm birth
Notice bibliographique
Résumé
Complications of preterm birth (PTB) are the single largest direct cause of neonatal deaths, responsible for 35% of the world's 3.1 million deaths a year, and are the second most common cause of deaths in children under 5 years of age, after pneumonia (Liu et al. Lancet 2012;379:2151–61). The study explored retrospectively the maternal, fetal, and placental conditions associated with medically indicated PTB. It included 25 699 births over 10 years using a perinatal database in London, Ontario, Canada. A random selection of one birth per mother was included. Stillbirths, delivery for maternal request, and repeat caesarean sections with no other indications for early delivery were excluded. The authors appropriately grouped the early-birth groups into medically indicated late preterm birth (MI_LPB), at 34–36 weeks of gestation, and medically indicated early-term birth (MI_ETB), at 37–38 weeks of gestation. The rate of MI_ETB (13.3%) was almost five times the rate of MI_LPB (2.7%). ETB was previously overlooked in epidemiological studies because of the underestimated risk in this group. The historical definition of preterm deliveries being less than 37 completed weeks of gestation has proven to be inaccurate. It does not account for the functional immaturity of infants born at 37–39 weeks of gestation (Goldenberg et al. Am J Obstet Gynecol 2012;206:113–8). ETBs contribute to frequent initial admissions or transfers from full-term nurseries to neonatal intensive care units (NICUs). Campbell et al. adopted the classification system of Global Alliance to Prevent Prematurity and Stillbirth (GAPPS). The ‘phenotype’ was used to describe observable properties or characteristics resulting from the interaction of the genotype with the environment. In the study the authors found a slightly different pattern of conditions for the early birth groups across the three phenotypes, in particular the maternal phenotype. Chronic maternal conditions (e.g. respiratory disease) were only associated with MI_ETB, but not with MI_LPB. The study concluded that the risks associated with medically indicated early births were heterogeneous, and that different conditions triggered the late-preterm and the early-term deliveries. As 98% of deliveries occurred in hospitals, the results are generalisable. There was overlap in assigning conditions to various phenotypes, which does not represent a limitation in the current study but is a challenge to the GAPPS classification system. These results are important as they help to identify high-risk groups in a Canadian population, and investigate causality, and thereby provide adequate preventive and therapeutic interventions. The worldwide persistence of medical conditions associated with PTB suggests genetic risks or epigenetic alterations. Those alterations could induce a multiple-hit phenomenon where environmental conditions activate a quiescent genetic abnormality, causing a cell-programmed event, such as decidual senescence or trophoblastic apoptosis, which contribute to PTB. DNA methylation patterns induced by changes in the fetal environment, such as maternal cigarette smoking, infections, stress, and diet, may influence PTB (Roberto et al. Science 2014;345:760–5) and predispose the neonate to adult-onset diseases. Although they do not alter DNA sequences, these epigenetic modifications can be heritable and carry the risk of PTB throughout future generations. None declared. Completed disclosure of interests form available to view online as supporting information. 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 machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,017 | 0,077 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,016 |
| Communication savante | 0,006 | 0,016 |
| Science ouverte | 0,002 | 0,007 |
| Intégrité de la recherche | 0,006 | 0,020 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
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 source (Gemma direct ou Codex distillé), 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 ».