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Enregistrement W4417018487 · doi:10.1182/blood-2025-4900

Risk factors for thrombo-embolism in neonates: A systematic review of the literature and call to action

2025· article· en· W4417018487 sur OpenAlexaff
Marie‐Claude Pelland‐Marcotte, Élisabeth Boileau, C. Heleen van Ommen, Rukhmi Bhat

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueBlood Coagulation and Thrombosis Mechanisms
Établissements canadiensUniversité LavalHôtel-Dieu de QuébecCentre hospitalier universitaire de Québec
Organismes subventionnairesnon disponible
Mots-clésOdds ratioConfidence intervalProspective cohort studyRisk factorCohort studyRetrospective cohort studyPsychological interventionGestational ageRisk assessmentMEDLINE

Résumé

récupéré en direct d'OpenAlex

Abstract BACKGROUND: While venous thrombo-embolism (VTE) is increasingly recognized in neonates and prothrombotic risk factors are increasing being identified, no risk prediction model currently exists to enable early identification of neonates at high risk of VTE. A thorough understanding of existing evidence is necessary to inform the development of a risk-assessment model. We aimed to describe maternal, obstetrical, and neonatal risk factors associated with VTE in neonates METHODS: Literature search was performed for peer-reviewed randomized and non-randomized trials, retrospective and prospective cohort studies, case-control studies and case series of ≥10 patients (1990-2024). Studies were eligible if ≥90% of participants were neonates, defined as infants up to 28 days and with corrected gestational age ≤44 weeks at time of VTE diagnosis, and if studies reported VTE risk factors, including symptomatic and/or clinically unsuspected events. The review was registered on PROSPERO (CRD42024518801). Catheter-related risk factors are reported separately. Study screening and data extraction were performed independently by two investigators; risk of bias was assessed using the Risk of Bias in Non-randomised Studies of Interventions (ROBINS-I) tool. Risk factors described in ≥3 studies were considered. Random effect meta-analysis was performed in the absence of substantial methodological or clinical heterogeneity; results are expressed using mean difference (MD) or odds ratio (OR) with 95% confidence intervals (CI). Heterogeneity was estimated using restricted maximum-likelihood model and expressed using I2. RESULTS: The search yielded 10,579 references, with 283 full-text articles retrieved. Of these, 58 studies (3,450,114 neonates) reporting on the predictive impact of maternal, obstetrical, and neonatal risk factors for VTE were included. Most studies were retrospective (n=25, 43%) or case-control (n=15, 26%) studies; 20 (34%) studies were published within the last 5 years. While VTE definition often did not differentiate symptomatic and clinically unsuspected VTE, 28 (50%) of studies performed at least one surveillance imaging for VTE screening. Most studies (n=48, 86%) had serious risk of bias in at least one domain, typically risk of confounding. Maternal/obstetrical risk factors: Pre-eclampsia and maternal diabetes were predictive of neonatal thrombosis in 2 of 4 (3,102,008 neonates) and 2 of 3 studies (3,106,857 neonates), respectively, while cesarean section was not predictive of thrombosis in 4 studies (40,925 neonates). Demographic variables: Among neonates hospitalised to the NICU, low birthweight was associated with VTE (OR: 2.05, 95% CI: 1.41-3.00, p<0.001, I2=0%, 4 studies). Conversely, gestational age (MD: -0.45, 95%CI: -1.71-0.82, p=0.49, I2=76%, 5 studies) and sex were not significantly associated with VTE (male vs. female, OR: 1.17, 95% CI: 0.94-1.45, p=0.15, I2=24%, 17 studies). Neonatal risk factors: Cardiac disease (OR: 5.90, 95% CI: 1.16-30.03, p=0.03, I2=62%, 3 studies) and infection (OR: 3.16, 95% CI: 1.87-5.33, p<0.001, I2=90%, 7 studies) were significantly associated with VTE. Asphyxia (OR: 5.88, 95% CI: 0.85-40.72, p=0.07, I2=94%, 4 studies), mechanical ventilation (OR: 2.00, 95% CI: 0.52-7.60, p=0.31, I2=99%, 4 studies), and surgery (OR: 3.05, 95% CI: 0.88-10.51, p=0.08, I2=95%, 4 studies) were more frequent in neonates with VTE, albeit not reaching statistical significance. The effect of respiratory distress syndrome, necrotizing enterocolitis, and cholestasis on VTE development was reported in fewer than three studies and was not analyzed. Medication and blood products: Overall, eight studies (202,480 neonates) investigated the impact of postnatal medication (total parental nutrition, steroids, recombinant factor VIIa) or blood product administration in neonates (any, fresh frozen plasma, activated 4-factor prothrombin complex concentrates, antithrombin concentrates) on the risk of VTE; with no intervention examined in more than one study. CONCLUSION: Several risk factors for VTE have been reported in the literature, including pre-eclampsia, maternal diabetes, low birthweight, infection, and cardiac disease. However, important discrepancies between studies and limited data regarding the impact of common conditions and medications persist. Comprehensive prospective research is urgently needed to enable accurate risk prediction and improve VTE prevention in neonates.

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)0,016
score de la tête « metaresearch » (Gemma)0,045
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Revue systématique · Signal consensuel: Revue systématique
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,084

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0160,045
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0100,009
Bibliométrie0,0090,008
Études des sciences et des technologies0,0010,001
Communication savante0,0030,003
Science ouverte0,0020,002
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,017
Tête enseignante GPT0,297
Écart entre enseignants0,280 · 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'étudeRevue systématique
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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