MétaCan
Menu
← Retour à la cohorte
Enregistrement W213641328 · doi:10.1182/blood.v124.21.4090.4090

Assessing the Effect of Short and Long-Term Hydroxyurea Treatment on Cerebral Hemodynamics in Children with Sickle Cell Anemia Using Quantitative MRI: Preliminary Findings

2014· article· en· W213641328 sur OpenAlexaff
Przemysław Kosiński, Paula Croal, Jackie Leung, Suzan Williams, Andrea Kassner

Notice bibliographique

RevueBlood · 2014
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineSickle cell anemiaHemodynamicsAnemiaCerebral blood flowVaso-occlusive crisisFetal hemoglobinVasodilationStroke (engine)Acute chest syndromeNitric oxideInternal medicineCardiologyAnesthesiaDisease

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction: Sickle Cell Disease (SCD) is an inherited blood disorder, afflicting 1 in 400 African Americans, clinically characterized by hemolytic anemia, painful vaso-occlusive crises and endothelial dysfunction resulting in chronic organ damage.1 Hydroxyurea (HU) is a myelosuppressive agent that has been shown to reduce the number of vaso-occlusive crises, acute chest syndromes, blood transfusions and hospital admissions and is currently being investigated as an alternative to transfusion therapy for primary stroke prevention.2,3 HU's protective properties are primarily thought to be a result of its ability to increase HbF levels, which reduces sickle hemoglobin polymerization.4 However, HU requires a minimum of 3-6 months for sufficient HbF induction and previous studies have shown improved clinical performance well before a detectable rise in HbF.3,4 The HbF-independent clinical improvement is hypothesized to be a result of HU acting as a nitric oxide (NO) donor, a potent vasodilator, whose bioavailability is reduced in SCD.5,6 Reduced NO has a direct effect on the dilation of cerebral vessels, which warrants investigation into the impact of HU treatment length on cerebral hemodynamics. To assess cerebral hemodynamics we obtained dynamic MR measurements of cerebrovascular reactivity (CVR), which reflect the capacity of vascular endothelia to dilate in the presence of a vasoactive stimulus. In addition, we also obtained CBF data using arterial-spin labelling (ASL) to assess its relationship to CVR. We hypothesized that CVR will be higher in long-term HU-treated patients compared to short-term HU-treated patients. Furthermore, we hypothesized that CBF will be inversely correlated with CVR and will be lower in patients on long-term HU compared to short-term HU-treated patients. Methods: 21 Patients (11M/10F; avg age 14±2.45) with no history of stroke, were imaged on a 3T MRI system. 15 patients were on HU for more than 1 year (long-term) and 6 were on HU less than 5 months (short-term). The hematocrit of both groups was similar. CVR data of the entire brain was obtained using a standard blood-oxygen-level-dependent (BOLD) MRI sequence in combination with a CO2 breathing challenge. CO2 was delivered via a re-breathing mask in 4 alternating cycles of 40 mmHg PETCO2 for 60 seconds and 45mmHg PETCO2 for 45 seconds. Correlations of voxel-based BOLD changes to end-tidal CO2 waveforms were analyzed using FSL v4.1 and yielded CVR maps that were co-registered to anatomical images. CBF was obtained with a standard pulsed ASL protocol and was quantified from the mean signal difference between ASL tag and control images using a kinetic model. The Student's t-test was used to assess whether the mean global CVR and CBF were significantly different (p<0.05) between patients on short-term and long-term HU treatment. Results: Global CVR was significantly higher in long-term HU-treated patients compared to short-term HU-treated patients (p=0.034) [Figure 1]. However, global CBF was significantly higher in long-term HU-treated patients compared to short-term HU-treated patients (p=0.032) [Figure 2]. Conclusions: As expected, long-term HU-treated patients had higher CVR compared to the short-term HU-treated patients. This could be due to the rise in HbF which reduces sickling, thereby buffering the impact of hemolysis-associated endothelial dysfunction thereby increasing NO more compared to the short-term group. However, CBF in long-term HU-treated patients was significantly higher compared to the short-term treated patients. This was unexpected and not in line with our previous studies, which have shown that CVR is inversely correlated with CBF, both in children with SCD as well as healthy controls, which is characteristic of functioning endothelia. The increase in both CVR and CBF in long-term HU-treated patients may indicate an uncoupling of CVR and CBF, which could be exacerbated with continued treatment and should be monitored. However, further studies are needed to verify this. Figure 1. Effect of HU treatment on CVR Figure 1. Effect of HU treatment on CVR Figure 2. Effect of HU treatment on CBF Figure 2. Effect of HU treatment on CBF References 1. Switzer J, et al. Lancet Neurol. 2006;5:501-5012. 2. Rodgers GP, et al. N Engl J Med. 1990; 322:1037–1045. 3. Charache S, et al. N Engl J Med. 1995;332:1317– 1322. 4. Halsey C, et al. Br J Haematol. 2003;120: 177-186. 5. Nahavandi M, et al. Hematology. 2000;5:235–239. 6. Morris C, et al. J Pediat Hematol Onc. 2003;28:629-634. Disclosures Off Label Use: Hydroxyurea is FDA approved for adults with HbSS. However, it is prescribed off-label at the Hospital for Sick Children for children with HbSS. .

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)0,000
score de la tête « metaresearch » (Gemma)0,001
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 enseignants0,002
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,008
Tête enseignante GPT0,263
Écart entre enseignants0,255 · 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
Publié2014
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetHemoglobinopathies and Related Disorders→Travaux en français237 207→