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Enregistrement W4310104934 · doi:10.1182/blood-2022-168060

Gonadal Hormone Production after Hematopoietic Cell Transplant (HCT) in Patients with Sickle Cell Disease (SCD): A Stellar Study

2022· article· en· W4310104934 sur OpenAlexaff
Sobenna A. George, Anirudh Veludhandi, Yijin Xiang, Elizabeth Stenger, Staci D. Arnold, Akanksha Mehta, David A. Schirmer, Jessica B. Spencer, Gregory M.T. Guilcher, Monica Bhatia, Allistair Abraham, Veronica Gomez‐Lobo, Lakshmanan Krishnamurti, Lillian R. Meacham

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueHemoglobinopathies and Related Disorders
Établissements canadiensAlberta Children's HospitalUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésInterquartile rangeMedicineQuartileTestosterone (patch)MenarcheInternal medicineTransplantationOvarian reserveHormoneFollicle-stimulating hormoneHematopoietic stem cell transplantationLuteinizing hormoneEndocrinologyPregnancyInfertilityBiologyConfidence interval

Résumé

récupéré en direct d'OpenAlex

Introduction HCT is the only therapy for SCD with curative intent, but the alkylator chemotherapies used in preparative regimens place patients at high risk for gonadal dysfunction. Adequate ovarian and testicular hormone production post-HCT is important for optimal health. Methods We enrolled children and adults with SCD ≥ 1-year post-HCT ("HCT") in the Sickle Cell Transplant Evaluation of Long-term and Late Effects Registry (STELLAR) and a control group of patients with SCD not treated with HCT ("non-HCT"). We obtained annual surveys of gonadal health using a web-based platform. Surveys were completed by proxies for individuals <18 years and were self-report for individuals ≥18 years. Markers of ovarian reserve or testicular function were measured, including follicle-stimulating hormone (FSH) and anti-Müllerian hormone (AMH) in females and FSH and testosterone in males. The most recent survey was used for analysis when multiple surveys were available. The upper limit of normal (ULN) for age of pubertal onset was defined as 13 years in females and 14 in males, and the ULN for menarche was 15 years. Only females >13 years and males >14 years (ULN for activation of the hypothalamic pituitary gonadal axis) were included in the FSH analysis. Descriptive statistics were reported as median (Interquartile range [IQR]: 3rd quartile - 1st quartile), mean (min, max) or count (%). Statistical procedures involved a chi-squared test. The effect size was calculated using standard mean difference (SMD). Results Surveys were completed by 48 SCD HCT patients (30 females, 18 males) and 12 SCD control patients (8 females, 4 males). Median age (IQR) at survey completion was 14.8 years (11.8) for female HCT, 16.0 (10.4) for male HCT, 14.5 (11.6) for female non-HCT, and 21.0 (22.8) for male non-HCT. Median age (IQR) at HCT was 8.8 years (6.1) for females and 9.1 years (5.2) for males. Most patients underwent HCT in 2010-2020 (86.7% of females, 78.8% of males). Donor was predominantly matched related (90.0% of females, 94.4% of males) with bone marrow stem cell source (90.0% of females, 94.4% of males). Most patients received myeloablative conditioning (86.7% of females, 94.4% of males). Only female HCT patients (n=8, 32%) reported being told they might need hormones to enter puberty. In females who were ≥15 years, menarche was reported in 11 (78.6%) HCT and all of the non-HCT patients. Current menstruation was reported in 9 (64.3%) HCT and 3 (75.0%) of non-HCT patients, and 10 (71.4%) HCT and 1 (25%) non-HCT females reported ever having taken hormones, including birth control. P-values and SMD can be seen in Table 1. Hormone levels were measured in 68 HCT patients (41 female, 27 male). Most patients underwent HCT from 2010-2020 (82.9% of females; 74.1% of males) using matched related donor (90.2% of females, 92.6% of males) bone marrow (87.8% of females, 85.2% of males) following myeloablative conditioning (87.8% of females, 88.9% of males). For females, the median age at the time of AMH testing was 16.5 years (IQR 9.1) with a mean of 6.8 years (IQR 4.8) post-HCT. Based on the age and assay normal values, AMH levels were normal in 3 (7.3%), low but detectable in 7 (17.1%), and undetectable in 31 (75.6%) of patients. FSH was measured in 12 females who were >13 years and not on hormone therapy (Table 2). The median age at FSH testing was 18.0 years (IQR 5.1), with a mean of 8.7 years (IQR 3.5) post-HCT. FSH levels were normal in 7 (58.3%) and above the ULN in 5 (41.7%), 3 of which were menopausal (>30mIU/mL). Testosterone values were obtained in 15 males who were >14 years with a median age 18.9 years (IQR 5.9) and a mean of 6.9 years (IQR 5.1) post-HCT. The mean testosterone level was 365.8 ng/dl (range 152-592), 13 (86.7%) of which were in the normal range and 2 (13.3%) being low. FSH values in males >14 years were high in 4 (26.7%). Conclusions Nearly all females had diminished ovarian reserve post-HCT, with >75% having undetectable AMH levels. In addition, close to half of the females had elevated FSH levels, some in the menopausal range. However, females with normal FSH and normal or low AMH can consider post-HCT mature oocyte cryopreservation. Most males had normal testosterone levels, but >25% had elevated FSH levels which could be a signal of impaired spermatogenesis. These findings highlight the importance of studying the impact of HCT on gonadal function and the consideration of these outcomes when developing protocols for curative therapy in SCD. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
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 Opus0,003
Tête enseignante GPT0,170
Écart entre enseignants0,167 · 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
Publié2022
Routes d'admission1
Résumé présentoui

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