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Enregistrement W2998426349 · doi:10.1182/blood-2019-129251

Effects of Hydroxyurea Treatment on Malaria Infections in Sub-Saharan Africa

2019· article· en· W2998426349 sur OpenAlexaff
Peter Olupot‐Olupot, George Tomlinson, Teresa Latham, Patrick T. McGann, Brígida Santos, Banu Aygün, Susan E. Stuber, Léon Tshilolo, Adam Lane, Thomas N. Williams, Russell E. Ware

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensToronto General HospitalUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMalariaMedicineMean corpuscular volumeAnemiaRate ratioConfidence intervalInternal medicinePediatricsIncidence (geometry)Clinical trialImmunologyHemoglobin

Résumé

récupéré en direct d'OpenAlex

Introduction. Realizing Effectiveness Across Continents with Hydroxyurea (REACH, NCT01966731) is a prospective multicenter open-label trial that has already demonstrated hydroxyurea treatment at maximum tolerated dose (MTD) is safe, feasible, and offers major benefits for children with sickle cell anemia living in sub-Saharan Africa (Tshilolo et al, NEJM 2019;380:121-131). One unexpected benefit was a significant reduction in the number of malaria infections, including those with Grade 3 severity or above, across four trial sites in varied epidemiological settings. The overall rate of symptomatic malaria infections decreased from 46.9 events per 100 patient-years during screening to 22.9 events per 100 patient-years on treatment, an incidence rate ratio of 0.49 (95% confidence intervals [CI] = 0.37-0.66). This decreased rate of malaria was observed during the first 12 months of treatment, but declined further between Months 12-36, after the children had dose escalation to achieve hydroxyurea MTD at 22.5 mg/kg/day. Potential mechanisms of malaria protection remain unknown at this time, but could relate to both patient characteristics as well as treatment-related laboratory changes in hemoglobin (Hb), mean corpuscular volume (MCV), absolute neutrophil count (ANC), or fetal hemoglobin (HbF). Methods. Malaria infections were recorded in the REACH REDCap electronic database. Using several methods for recurrent events, with time-varying predictors as well as landmark analysis, associations with infections recorded during study treatment were assessed for multiple variables including trial site, high or low malaria season, age, gender, spleen status, hydroxyurea dose, MTD status, latest laboratory values (Hb, MCV, ANC, and HbF, all measured at least 15 days prior to the onset of the infection), as well as genetic modifiers alpha-thalassemia and G6PD deficiency. Univariate relationships were assessed using the Anderson-Gill model, followed by multiple regression to estimate Hazard Ratios (HR) with 95% CI's. Additional analyses were performed using a gap-time model that resets the clock after each infection, as well as using only the first infection in each participant; the subset of 200 acute blood-smear proven malaria infections was also analyzed separately. Results. A total of 635 children were enrolled in REACH and eligible for analysis, of whom 606 started hydroxyurea treatment. There were 333 malaria infections recorded during 1580 patient-years of observation, including 50 during screening and 283 on treatment, of which 200 had documented positive blood smears at the clinical site. Significant associations for malaria risk were identified with higher ANC (HR = 1.06 per 1 x 109 neutrophils/L, CI = 1.02-1.10, P=0.005), higher MCV (HR = 1.01 per fL, CI = 1.00-1.02), and palpable splenomegaly (HR 1-4cm = 1.73, CI = 1.22-2.45, P= 0.002, HR ≥5cm = 1.52, CI = 1.04-2.21, P=0.03). In multiple regression, the latest ANC and MCV, as well as splenomegaly remained significant but higher HbF was also associated with more malaria (HR = 1.02 per %HbF, CI = 1.00-1.03, P=0.03). These trends were consistent when using the landmark, gap-time and first infection analytical approaches. Analysis of only documented blood-smear positive malaria infections again identified higher ANC, MCV, and splenomegaly as risk factors, but found no association with HbF. Achieving MTD was found to confer significant protection against documented malaria infections (HR = 0.62, CI=0.39-1.00, P=0.048). Conclusion. Hydroxyurea treatment in children with sickle cell anemia living in sub-Saharan Africa is associated with a decreased risk of malaria infections, particularly after achieving MTD. The mechanisms by which hydroxyurea protects against malaria are likely multi-factorial, but do not appear to be related to HbF induction, as higher HbF values were not protective and in some analyses were a risk factor. However, a higher ANC was significantly associated with malaria risk in all models and analyses; since hydroxyurea treatment lowers the ANC, dose escalation to MTD may confer protection against malaria infection by reducing inflammation. Spleen status is also crucial and the role of splenomegaly as a risk factor for malaria requires further investigation. Disclosures Ware: Novartis: Other: DSMB; Agios: Membership on an entity's Board of Directors or advisory committees; Nova Laboratories: Membership on an entity's Board of Directors or advisory committees; CSL Behring: Membership on an entity's Board of Directors or advisory committees; Addmedica: Other: Research Drug Donation; Bristol Myers Squibb: Other: Research Drug Donation; Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees.

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)0,015
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 enseignants0,006
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,015
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
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 Opus0,005
Tête enseignante GPT0,211
Écart entre enseignants0,206 · 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
Publié2019
Routes d'admission1
Résumé présentoui

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