<i>Long-Term Quality of Life after Hematopoietic Cell Transplantation for Sickle Cell Disease: A Preliminary Report from the Sickle Cell Transplant Evaluation of Long Term and Late Effects Registry (STELLAR)</i>
Notice bibliographique
Résumé
Abstract Introduction: Sickle cell disease (SCD) is characterized by unpredictable, recurrent acute and chronic persistent pain, and progressive organ damage leading to substantial morbidity, impaired quality of life and increased healthcare utilization. Hematopoietic cell transplantation (HCT) is the only therapy for SCD with curative intent. HCT is associated with excellent overall and event free survival especially in young children undergoing HCT from HLA identical family donors. Given these outcomes and improved supportive care, HCT is increasingly being offered to adults with SCD. However, a paucity of data exists on health related quality of life (HrQoL) in patients who are long term survivors of HCT. Therefore, a clear need exists to study HrQoL in children and adults post HCT to determine the long term benefit of HCT for SCD. We report the results of an interim analysis of HrQoL in recipients of HCT for SCD. Methods: We enrolledchildren and adults with SCD ≥ 1-year post-HCT in the Sickle Cell Transplant Evaluation of Long Term and Late Effects Registry (STELLAR). We obtained patient self-report of health status and health practices using a web based platform. Individuals under age 18 years and/or proxies completed Patient Reported Outcome Measurement Information System (PROMIS) version 25. Individuals over age 18 completed PROMIS version 29. Surveys were completed at enrollment and annually thereafter. T-scores were calculated for each survey domain. HrQoL in children (PROMIS25) and adults (PROMIS29) was compared to age appropriate norms (mean 50 ± 10). Univariate analysis was performed by age, gender, marital status, time from transplant, history of preHCT stroke, frequency of pain, number of emergency department (ED) visits, length of stay, income, and education assessed at the time of PROMIS survey administration. Statistical analysis was conducted using SAS Version 9.4. Descriptive statistics for each variable were reported. For numeric covariates, the mean and standard deviation (SD) were calculated and presented with frequency and its percentage shown for category variables. For repeated measures, generalized estimating equation (GEE) model was performed to detect the association. The significance level was set at 0.05. Results: Twenty-seven individuals completed 30 PROMIS25 surveys and 15 individuals completed 19 PROMIS29 surveys from 2017-2021. The mean age at transplant was 11.4years (SD 3.1) and 23.8 years (SD 6.2) in adults, respectively. Sixty percent and 50%, respectively, were female. The mean time from transplant was 4.2 years (SD 3.9) and 9.1 years (SD 7.1), respectively. Physical function/mobility, anxiety, depression, fatigue, and pain T-scores for each PROMIS measure are reported below in Table 1. Univariate analysis of PROMIS25 T-scores showed a statistically significant difference in anxiety by age and peer relationships by age, gender, and time from transplant. Time from transplant also had a statistically significant association with pain interference. PROMIS29 T-scores also showed a statistically significant difference in anxiety by age. Gender had a statistically significant association with depression and fatigue. Number of ED visits had a significant association with physical function, depression, social participation, and pain interference (Table 2). Other covariates lacked a statistically significant association or had insufficient sample sizes for comparison. Conclusions: Long-term HrQoL after HCT for SCD is within population norms for adults and children, though children have better HRQoL compared to adults. Better scores in females suggests the need for study of gender as a mediator of HrQoL outcomes. The observed relationship between HrQoL domains and education, income, time from transplant, and number of ED visits, a surrogate for healthcare utilization, suggest the need for careful study of these and other factors that can influence HrQoL post HCT over the long-term. In addition, further research in patient reported outcomes has the potential to identify needed areas of intervention and surveillance for this population. Figure 1 Figure 1. Disclosures Guilcher: Project Sickle Cure Study: Other: Principal Investigator, Research Funding; BlueBirdBio: Research Funding.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».