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Enregistrement W3213230758 · doi:10.1182/blood-2021-149145

Comparative Study of Haiti and Miami Cohorts of Sickle Cell Disease (CSHSCD): Methods, Accomplishments, and Implementation

2021· article· en· W3213230758 sur OpenAlexaff
Ofelia Álvarez, Tally Hustace, Emmeline Lerebours, Nora St Victor Dély, Rony Saint Fleur, Emanise Muscadin, Ulrick Liberus, Paulonne Bien-Aime, Alejandro Mantero, Eric Brown, Louis Herns Marcelin, Ronald Eveillard, Michele Paul-Hanna, Nelly Campo, Iszet Campo‐Bustillo, José G. Romano

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensHôpital du Sacré-Cœur de Montréal
Organismes subventionnairesnon disponible
Mots-clésMiamiEthnic groupMedicinePediatricsNewborn screeningSickle cell anemiaFamily medicineDiseaseInternal medicine

Résumé

récupéré en direct d'OpenAlex

Abstract Background: There are significant limitations in Haiti for the diagnosis and management of sickle cell disease (SCD), including the non-availability of universal newborn screening (NBS) and transcranial Doppler (TCD) ultrasound screening, and the lack of diagnostic laboratory resources, oral penicillin and hydroxyurea (HU). Methods: Beginning in September 2019, CSHSCD (R01HL149121), a 5-year NIH-sponsored observational comparative study of children with SCD from Haitian ethnicity in Miami and in Haiti compared to children of African American ethnicity with SCD, was designed to increase access to care in Haiti. The study aims are 1) to compare the incidence of SCD among newborns from Haitian and African American ethnicity in Miami, 2) to establish NBS programs for hemoglobinopathies in Haiti, and 3) to compare cohorts of children in SCD at the study sites. The participating sites are the University of Miami (UM, Miami, Florida), Hôpital Saint Damien (HSD, Tabarre, Haiti), Hôpital de l'Université d'Etat d'Haïti (HUEH, Port-au-Prince, Haiti), Hôpital Universitaire Justinien (HUJ, Cap Haitien, Haiti), and Hôpital Sacré Coeur (HSC, Milot, Haiti). HUJ and HSC use two NBS screening methods (isoelectric focusing and Sickle SCAN rapid test) and HSD and HUEH use isoelectric focusing only. CSHSCD supplies penicillin and HU and trains TCD examiners to implement stroke risk screening. Data are collected in REDCap. Results: During the first 2 years and despite the COVID-19 pandemic, we established NBS sites with a cohesive network of physicians and nurses trained in the care of children with SCD in Haiti. This capacity building will support sustainability of the program. We successfully identified at least 15 new cases of SCD via newborn screening, trained six TCD examiners, and enrolled 130 children with SCD in follow up, providing them with penicillin prophylaxis and hydroxyurea for severe cases according to local protocols . Implementation activities which have helped are close communications between the investigators, monthly Zoom meetings to coordinate efforts with enrollment updates every month, the availability of rapid tests (Sickle SCAN and Gazelle miniature cellulose acetate electrophoresis) for the diagnosis of SCD, especially when there is no laboratory equipment on site. Implementation challenges we have faced are mostly two. The first is the timely completion of DUNS and SAM registration for the two public hospitals, with one site achieving this after 9 months and the other site taking 18 months to complete. The reasons for the delay are the inability for the UM site to direct these efforts, following strict rules, and the Haitian hospital officers' lack of familiarity with website requirements. We were able to achieve these registrations with the assistance of one Haitian study staff who is very acquainted with internet navigation and became familiarized with requirements. Outsourcing materials to Haiti is another major challenge, with either gaps in the delivery of supplies because of multiple steps involved in ordering and shipping or with delays in releasing equipment once it is at the Port-au-Prince customs, resulting in gaps in NBS in one of the sites for 8 weeks. We have minimized these issues by opening a one-year ticket to order materials from the different companies involved. Also, Haiti's lack of infrastructure, available materials and medications, and political instability limit health care delivery. Conclusion: Since its inception, we have achieved major milestones, including capacity building and implementation of NBS, TCD training, and enrollment of children with SCD into the prospective cohorts despite the current COVID-19 pandemic. Material outsourcing challenges have been the major implementation problem we have faced due to systemic factors. We anticipate that these factors will be corrected or minimized as we have learned how to handle them. These problems were expected as part of conducting an international study in a low-resource setting. Acknowledgment: We acknowledge NHLBI for supporting this work. Disclosures Alvarez: Forma Therapeutics: Membership on an entity's Board of Directors or advisory committees; GBT: Membership on an entity's Board of Directors or advisory committees. Romano: Genentech: Research Funding; Vycor: Current holder of individual stocks in a privately-held company; NovaVision: Consultancy.

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)0,014
score de la tête « metaresearch » (Gemma)0,014
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 enseignants0,086
Score d'incertitude au seuil0,171

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0140,014
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0020,001
Communication savante0,0010,001
Science ouverte0,0020,002
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,019
Tête enseignante GPT0,347
Écart entre enseignants0,328 · 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
Publié2021
Routes d'admission1
Résumé présentoui

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