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Enregistrement W4417010346 · doi:10.1182/blood-2025-944

The ASH consa consortium on newborn screening in Africa for sickle cell disease: Interim updates of progress in screening, follow-up and supporting initiatives

2025· article· en· W4417010346 sur OpenAlexaff
Obiageli Nnodu, Bernard Awuonda, Lulu Chirande, Charles Kiyaga, Catherine I. Segbefia, Catherine Chunda‐Liyoka, Patience Camille Franklin, Andrew Zapfel, Marie Benoit, Alexis A. Thompson, Venée N. Tubman, Isaac Odame, Maureen Achebe, Nancy Berliner, Thérèsa L. Coetzer, Russell E. Ware, Enrico M. Novelli, Nancy Green

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensHospital for Sick Children
Organismes subventionnairesnon disponible
Mots-clésNewborn screeningInterimInterim analysisIncidence (geometry)Intervention (counseling)Health careSickle cell anemiaDiseaseClinical trial

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Children born with sickle cell disease (SCD) in sub-Saharan Africa (SSA) are at >50% risk for under age 5 mortality (U5M). To demonstrate whether newborn SCD screening in SSA and early entry into standard care will lower rates of U5M, the American Society of Hematology (ASH) established the Consortium on Newborn Screening in Africa (CONSA) in 10 sites in 7 countries: Ghana, Kenya, Liberia, Nigeria, Tanzania, Uganda and Zambia. The hypothesis is that early infant SCD screening and entry into standard continuous care will reduce U5M compared to historical estimates.Primary objectives are to determine: a) the population-based birth incidence of SCD; and b) effectiveness of early standardized care for preventing U5M consortium-wide at each country's site(s).Secondary objectives are to: a) establish SCD newborn screening programs and early intervention programs; and b) assess implementation and sustainability. Methods: CONSA is a multi-country health intervention program for centralized in-country newborn screening for SCD laboratory analysis of dried bloodspots, with enrollment of infants with SCD into early, continuous standardized care. Additional program needs have been identified, described here. Results: This report presents interim data on screening and clinical follow-up, highlighting several key initiatives developed to strengthen the CONSA program, which was launched in 2020. To date, results from 158,736 screened babies revealed 2201 (1.39%), with SCD, 25708 (16.20%) with S and 2531 (1.59%) C trait, and 1814 (1.14%) with another variant. Of those with screening results indicative of SCD, 693 underwent confirmatory testing, which established the diagnosis in 624 individuals (90%). To date, 847 (38.5%) have had an initial documented SCD clinical visit at a CONSA site. Others are receiving care at non-CONSA sites. Several initiatives are supporting CONSA, some through external resources:Screening and diagnostic capacity: Collaboration with a global technical source and in-country distributors has established networks to procure and distribute laboratory supplies, and provides technical support for laboratory guidance, training and troubleshooting to enhance laboratory capacity on isoelectric focusing using dried bloodspots and interpreting results.Sites were provided with supplies of the HemotypeSC device for rapid point-of-care diagnostic confirmation.Digital Health: A CONSA mobile phone app was created to support digital data collection with delayed cloud upload to the central database. Text messages are sent to families of infants with results of non-abnormal hemoglobin, reducing notification workload for data managers and nursing staff.Text messages are sent to affected families to remind them of follow-up visits.Health Education Initiative: Training with doctors, nurses, community health workers (CHWs), and other allied health professionals on SCD diagnosis and care has created networks of healthcare professionals for children living with SCD.More than 1,800 healthcare providers have been trained, with substantial pre- vs. post-test improvement.Improving clinical follow-up and retention in care: CONSA sites are partnering with local pediatric clinics to provide care, with referral to secondary or tertiary care as needed.The new CHW Initiative aims to support families of affected infants to increase documented visits for confirmatory diagnosis, enrollment and retention in care.Enhancing access to hydroxyureaSustainability: Measures to increase public awareness and reduce the stigma of SCD are underway to enhance in-country advocacy. CONSA country leaders are supported in developing key messages and strategies to engage local and national government leadership to promote their SCD efforts.Small grants are being provided through contracts with local community-based organizations to support community engagement and SCD advocacy at CONSA sitesSocial media outreach on SCD is being piloted to improve public awareness, specifically through promotional videos developed by musical artists collaborating with health education groups, distributed via popular global apps generally aimed at adolescents and young adults. Conclusions: Newborn screening encompasses a program beyond a test. Much progress has been made by the CONSA program that is tailored to local SSA strengths. The program is supported by several key initiatives to ensure effectiveness and sustainability.

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)0,079
score de la tête « metaresearch » (Gemma)0,058
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 enseignants0,079
Score d'incertitude au seuil0,418

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0790,058
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0060,004
Études des sciences et des technologies0,0020,001
Communication savante0,0040,002
Science ouverte0,0040,006
Intégrité de la recherche0,0020,003
Charge utile insuffisante (le modèle a refusé de juger)0,0090,003

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 Opus0,015
Tête enseignante GPT0,287
Écart entre enseignants0,271 · 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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