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Enregistrement W3094943418 · doi:10.1182/blood-2020-142318

Building Capacity and Assessing Stroke Risk with Transcranial Doppler Ultrasonography in Sub-Saharan Africa: The Reach Experience

2020· article· en· W3094943418 sur OpenAlexaff
Brígida Santos, Maria Nakafeero, Adam Lane, Léon Tshilolo, Thomas N. Williams, Peter Olupot‐Olupot, Janet M. Adams, Banu Aygün, Susan E. Stuber, George Tomlinson, Teresa Latham, Patrick T. McGann, Russell E. Ware

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineCertificationStroke (engine)TanzaniaTranscranial DopplerPediatricsPhysical therapyInternal medicine

Résumé

récupéré en direct d'OpenAlex

Introduction: Transcranial Doppler (TCD) screening data from Uganda, Tanzania, and Nigeria have documented elevated velocities in >20% of children with sickle cell anemia (SCA) not receiving hydroxyurea treatment. Realizing Effectiveness Across Continents with Hydroxyurea (REACH, NCT01966731) has demonstrated the safety, feasibility, and benefits of hydroxyurea for children with SCA living in sub-Saharan Africa, especially when escalated to maximum tolerated dose (MTD). Whether hydroxyurea also confers protection against stroke risk in this setting remains unproven, though hydroxyurea-associated increases in hemoglobin and fetal hemoglobin, plus decreases in TCD arterial flow velocities, should lower the risk of both primary and secondary stroke. The availability of TCD equipment and appropriately trained and certified TCD examiners to perform this non-invasive and inexpensive procedure is an important limitation in low-resource settings. Methods: REACH teams in Angola, Democratic Republic of Congo, Kenya, and Uganda identified two local persons at each site to receive formal TCD training and certification from two experienced and certified super-users, one from Uganda and one from the US. Initial training included hands-on teaching at each site by the Ugandan trainer, followed by didactic teaching and hands-on examinations at a central African location with both trainers and all four REACH teams. Follow-up training included monthly web-based teaching sessions of TCD technique and discussion of centrally reviewed exams. Each local examiner had at least 30 completed examinations reviewed, critiqued, and discussed together with the trainers before becoming formally certified as a REACH TCD examiner. After certification, all REACH participants taking hydroxyurea at a stable dose were eligible for TCD using a standardized protocol with identical Sonara/tek advanced non-imaging TCD ultrasound units with 2MHz probes and version 7 software (Natus, Middleton, WI). Time-averaged maximum velocities (TAMV) were measured in the middle cerebral artery, distal internal carotid artery, and the bifurcation. The highest TAMV was recorded and categorized as normal (<170 cm/sec), conditional (170-199 cm/sec), or abnormal (≥200 cm/sec) and correlated with laboratory and clinical parameters. Results: Between November 2018 and March 2020, a total of 481 children in REACH received TCD screening; the average age was 9.3 ± 2.6 years, on hydroxyurea for 43 ± 8 months at an average dose of 23.5 ± 5.0 mg/kg/day with good response (Hb = 8.4 ± 1.3 g/dL, HbF = 23.9 ± 5.0%). There were 16 (3.3%) inadequate exams, defined as no vessel flow in either hemisphere; 5 inadequate exams were in children with prior stroke at hydroxyurea initiation and 1 with stroke on treatment. Of 465 adequate exams, the overall median TAMV was 128 cm/sec (IQR 25 cm/sec) with 449 normal velocities (96.6% overall, range by site 95.1-99.2%), 16 conditional velocities (3.4% overall, range by site 2.3-4.9%), and no abnormal velocities. In univariate analysis, maximum TAMV was inversely correlated with hemoglobin (r = -0.29, p<0.0001), age (r = -0.23, p<0.0001), and fetal hemoglobin (r = -0.12, p=0.027); and positively correlated with reticulocytes (r = 0.17, p<0.001). No gender difference was noted, but alpha thalassemia trait (2-gene deletion) was associated with significantly lower TCD velocities, while G6PD A- deficiency had no observed effects. Conclusions: Robust TCD screening capability was developed in REACH with detailed training, certification, and oversight of local personnel, most of whom had no prior experience. Compared to untreated children, very few REACH participants had elevated TAMV velocities, confirming that hydroxyurea lowers TCD velocities and reduces stroke risk for children with SCA in sub-Saharan Africa. The observed associations between TAMV and both hemoglobin and fetal hemoglobin document the importance of escalating hydroxyurea to achieve and maintain an optimized dose. In low-resource settings, TCD screening efforts by trained and certified examiners should be aligned with hydroxyurea treatment protocols that feature dose escalation, to provide a feasible and effective stroke prevention program. TCD screening of African children with SCA will allow early identification of stroke risk and optimized hydroxyurea dosing, thereby reducing morbidity and mortality in this vulnerable population. Disclosures Aygun: National Heart, Lung, and Blood Institute: Research Funding; bluebird bio: Membership on an entity's Board of Directors or advisory committees, Research Funding; Patient-Centered Outsomes Research Institute: Research Funding; National Institute of Nursing Research: Research Funding.

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)0,003
score de la tête « metaresearch » (Gemma)0,008
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: Empirique
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0020,002
Communication savante0,0020,002
Science ouverte0,0010,005
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 GPT0,228
Écart entre enseignants0,211 · 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

Citations1
Publié2020
Routes d'admission1
Résumé présentoui

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