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Implementation of combined screening for preeclampsia in the first trimester: cost-effectiveness and clinical outcomes

2025· other· en· W7019870830 sur OpenAlexaff

Notice bibliographique

RevueUCL Discovery (University College London) · 2025
Typeother
Langueen
Domaine
Thématique
Établissements canadiensWomen's Health Research Institute
Organismes subventionnairesUniversity College London Hospitals NHS Foundation Trust
Mots-clésPreeclampsiaBlood pressurePregnancyIncidence (geometry)Clinical PracticeRisk factorRisk assessmentGestational ageIntrauterine growth restrictionAspirinGestational hypertension
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Preeclampsia (PE) is a gestational hypertensive syndrome with a worldwide incidence of 3-5%. Globally, 76,000 women and 500,000 babies die each year from complications of PE. Its timely identification and prevention through effective screening and offer of treatment, can have a vital impact on reducing maternal and fetal mortality and morbidity. In addition, there are significant healthcare economic implications. There are two primary methods for screening currently. Women can either be screened based solely on risk factors or through a combined approach that includes maternal characteristics alongside biophysical parameters such as mean arterial pressure (MAP) and uterine artery (UtA) blood flow, as well as biomarkers like pregnancy-associated plasma protein-A (Papp-A) and/or placental growth factor (PlGF). Administration of low dose aspirin (LDA) to women who screen as high-risk, using the combined screening approach has been shown to reduce the risk of PE by 62%. However, although the combined approach yields a higher detection rate for preterm PE, most international and national guidelines presently still recommend screening for PE based on maternal risk factors alone. At University College London Hospital (UCLH), we initiated the implementation of the Fetal Medicine Foundation (FMF)-combined screening for all women in their first trimester. This new protocol aims to enhance the detection rates of preterm PE and fetal growth restriction (FGR), assessing the impact on our maternity service. Our project began with a systematic review of clinical practice guidelines to understand global screening practices, revealing that despite its benefits, 74% of guidelines still recommend risk factor-based screening. We then conducted a retrospective analysis of 5,957 patient episodes, evaluating the outcomes against a hypothetical implementation of the modified combined screening algorithm. This analysis confirmed the superior performance of the combined screening approach over the existing NICE protocol in detecting both PE and FGR in our population. Notably, the application of the modified combined algorithm was cost-effective with a cost saving of £9.06 per pregnancy screened and a marginal Quality Adjusted Life Years gain. Further, we refined the clinical pathway post-first trimester screening by incorporating second trimester UtA Doppler assessments, significantly enhancing risk stratification. Our findings showed that screen-positive women with elevated UtA PI in the second trimester had an 18.8% risk of developing preterm PE, compared to just 6.5% for those with normal UtA PI. This trend was also observed in the FGR risk patterns, where the highest risk was noted in women with elevated second-trimester UtA PI. We also assessed the PE risk in high-risk women who did not develop hypertension or growth restriction up until 37 weeks, finding a significantly higher risk of PE in women delivering after 40 weeks, leading us to advocate for earlier delivery policies. Additionally, we evaluated the inter- and intra- observer variability of UtA PI measurements in the first trimester, confirming their reproducibility, which supported our decision to conduct periodic audits of sonographer performance. A future direction for this project is the prospective evaluation of the effect of implementation of first trimester FMF combined-screening for PE at UCLH between February 2023-February 2024. In evaluating this prospective data, we aim to investigate potential strategies such as earlier delivery to reduce the incidence of term PE. Finally, we plan to assess the qualitative performance of this screening approach and the associated clinical pathway by collecting patient feedback. In conclusion, our project at UCLH represents a pivotal shift in the approach to screening, providing a means of substantially improving maternal and fetal outcomes. The adoption of this comprehensive screening during the first trimester, accompanied by targeted interventions such as LDA, appropriate antenatal follow-up and timely delivery strategies, not only offers the promise of reduced prevalence of severe complications associated with PE but also a potential cost benefit within maternity services. The project's ongoing assessment and refinement of clinical pathways, including the integration of second-trimester assessments and continuous performance evaluations of sonographic techniques, highlight our commitment to advancing clinical practice through evidence-based strategies. As we continue to collect and analyze prospective data, our goal is to establish a robust model that can be adopted widely, ensuring that every woman receives the most precise and effective care during her pregnancy.

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)0,021
score de la tête « metaresearch » (Gemma)0,088
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,112

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0210,088
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0040,009
Bibliométrie0,0040,005
Études des sciences et des technologies0,0000,000
Communication savante0,0030,002
Science ouverte0,0010,003
Intégrité de la recherche0,0020,002
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 Opus0,031
Tête enseignante GPT0,327
Écart entre enseignants0,296 · 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

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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