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Enregistrement W4389234360 · doi:10.1182/blood-2023-188796

Slow and Steady Wins the Race: Optimization of Older Adult Allogeneic Hematopoietic Cell Transplant (Allo-HCT) Candidates

2023· article· en· W4389234360 sur OpenAlexaboutno aff
Sarah Wall, Allesia Funderburg, Nowshin Islam, Ying Huang, Edmund Folefac, Carolyn J. Presley, Erin Stevens, Andrew Artz, Ashley Rosko

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueFrailty in Older Adults
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineIntervention (counseling)Physical therapyTransplantationInternal medicine

Résumé

récupéré en direct d'OpenAlex

Background: Allo-HCT is the only potentially curative therapy available for many hematologic malignancies, but due to its intensity and associated toxicities, is infrequently offered to older adults. This study explored the feasibility and efficacy of individualized, geriatric assessment (GA)-guided intervention among older adult candidates for allo-HCT. Methods: Patients ≥ 60 years old that were candidates for allo-HCT were recruited between June 11, 2021 and July 1, 2022. Exclusion criteria included inability to speak English, diagnosis of dementia, and planned allo-HCT in < 1 month or > 6 months. Baseline GA was completed at time of enrollment. Subjects were prescribed multi-domain personalized geriatric intervention based on results of their individual GA. Patients were continued on geriatric intervention for up to 6 months or until transplant. A post-intervention GA was conducted after 6 months or at time of admission for allo-HCT, whichever occurred first. Metrics included in GA are defined in table 1. Subjects were provided wearable accelerometer device for activity tracking. Primary outcome of interest was change in 6-minute walk test (6MWT) and secondary outcomes included improved or maintained short physical performance battery (SPPB), receipt of allo-HCT, and overall survival (OS). Wilcoxon signed rank test was used to compare GA metrics pre- and post-intervention, and OS was estimated using the Kaplan-Meier method. Exploratory analyses included univariable modeling of association of baseline GA metrics with receipt of allo-HCT and OS. Results: A total of 63 allo-HCT eligible patients were approached, 30 consented and were evaluable. Of 33 not enrolled, 17 declined (7 due to requirement to wear accelerometer device), 7 were planned for allo-HCT in < 1 month, 4 were not interested in allo-HCT, 3 had virtual appointments with incomplete GA, 1 had dementia and 1 with anticipated allo-HCT date > 6 months. The majority of enrolled subjects were male (80%) and all were non-Hispanic, white. Median age at enrollment was 68.9 years (range: 60.8-79.2). Half (n=15) were diagnosed with acute myeloid leukemia, 40% (n=12) with myelodysplastic syndrome, and one each with chronic myelomonocytic leukemia, myelofibrosis, and non-Hodgkin lymphoma. The median time from allo-HCT-eligible diagnosis to baseline GA was 4.1 months (range: 1.2-118.9). More than half (n=16, 53.3%) of subjects received allo-HCT. Median time to allo-HCT from diagnosis was 13.8 months (range: 3.3-122.1) and from baseline GA was 4.6 months (range: 0.5-10.8). No one baseline GA metric was associated with receipt of allo-HCT (table 2). Median OS from study enrollment for all subjects was not reached (95% CI: 9.8 month-NR) with median follow-up of 14.8 months (range: 10.7-19.3). At baseline, better gait speed on 6MWT (HR: 0.72; 95% CI: 0.59-0.89, p=0.0018), SPPB (HR: 0.76; 95% CI: 0.60-0.97; p=0.02), and Montreal Cognitive Assessment (MOCA; HR: 0.72; 95% CI: 0.55-0.95; p = 0.02) scores were all associated with improved OS in univariable analysis (table 2). Pre and post-intervention GA metrics are presented in table 1. Only 14 subjects completed at least partial post-intervention GA, 12 of whom received allo-HCT. Reasons for not completing post-intervention GA included subjects declining to schedule (n=6), issues of care coordination (e.g.: frequent or prolonged hospital admissions, changes to allo-HCT admission plan; n=6), and death (n=4). Twelve subjects had both pre and post-intervention 6MWT data, 83.3% (n=10) improved by at least 50 feet. Ten subjects had both pre and post-intervention SPPB and all improved by at least 1 point or maintained a normal score (>9). Discussion: Improvement in or maintenance of 6MWT and SPPB were demonstrated in the majority of subjects with measured pre and post-intervention GA. Unfortunately, attrition was a major limitation of the study. Patterns of loss to follow-up, as well as reasons for screen failure, will be important areas for further exploration and potential targets for intervention at institutional and provider levels. Importantly, age was not associated with OS. Early education about allo-HCT paired with patient-centered goals of care conversations may be useful in identifying older adults most motivated and likely to benefit from GA-guided intervention.

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 enseignants0,001
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
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 Opus0,009
Tête enseignante GPT0,230
Écart entre enseignants0,221 · 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
Publié2023
Routes d'admission1
Résumé présentoui

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