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Enregistrement W4389231136 · doi:10.1182/blood-2023-189154

Frailty Impact on Outcomes of Patients Undergoing Chimeric Antigen Receptor T-Cell (CAR T) Therapy at Princess Margaret Cancer Centre: A Prospective Pilot Study

2023· article· en· W4389231136 sur OpenAlexaffabout
Anca Prica, Tiana Coley, Rachel Aitken, Abi Vijenthira, Manjula Maganti, Samantha Mayo, John Kuruvilla, Michael Crump, Sita Bhella, Robert Kridel, Vishal Kukreti, Chloe Yang, Shabbir MH Alibhai, Christine Chen

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueFrailty in Older Adults
Établissements canadiensUniversity Health NetworkPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineChimeric antigen receptorCohortHematopoietic stem cell transplantationProspective cohort studyDiffuse large B-cell lymphomaFollicular lymphomaCancerOncologyLymphomaTransplantationImmunotherapy

Résumé

récupéré en direct d'OpenAlex

Introduction Princess Margaret Cancer Centre is 1 of 3 adult centres in Ontario, Canada providing Chimeric Antigen Receptor T-Cell (CAR T) therapy as a standard of care treatment for adult patients with relapsed and refractory B-cell lymphomas. There is no upper age limit for treatment consideration, and frailty may be an important factor in assessing fitness for treatment. This study aims to determine if frailty assessments pre-CAR T can predict those at higher risk for acute toxicities, PFS, and OS, as well as evaluate changes in frailty over time. Methods We performed a cohort study of consecutive patients with lymphoma undergoing CAR T cell therapy at our institution, from April 2021 to date. Frailty was evaluated using the Clinical Frailty Scale (CFS), Grip Strength, Gait Speed, Mini-Cog, Edmonton Symptom Assessment System (ESAS) and Patient Health Questionnaire (PHQ-2 and PHQ-9) at 5 time points: baseline (clearance visit), and 1, 3, 6 and 12 months post-CAR T. At baseline, additional assessments were completed to further characterize frailty including the Vulnerable Elders Survey (VES-13), Hematopoietic Cell Transplantation-specific Comorbidity Index (HCT-CI) and Cumulative Illness Rating Scale (CIRS). We present data on patients enrolled to date. Results Fifty-two patients have had their data analyzed thus far. Mean age is 57.9 ± 12.7 years and 54% are male. 50% have de novo diffuse large B-cell lymphoma, 24% transformation from follicular lymphoma,14% HGBCL, 6% PMBCL and 6% FL. Most patients (83%) received axi-cel. Median follow-up is 3.80 months (IQR 0.56-24.7 mo). All 52 patients completed assessments at baseline, 44 completed 1 month, 25 completed 3 month, 12 completed 6 month and 11 completed 12 month assessments. Median scores (and IQR) for the HCT-CI, CIRS, VES-13 and CFS at baseline were 1.5 (0-5), 3.0 (0-13), 1.0 (0-7), and 3.0 (1-7) respectively. There were clinically significant changes observed in CFS over time ( p=<0.001), with mean scores of 3.3 at baseline, 3.7 at 1 month, 2.8 at 3 months and 2.1 at 12 months. There were no significant changes ( p=0.051; p=0.078) between timepoints for either of the physical assessments of grip strength or gait speed. Sixteen patients (31%) experienced immune effector cell neurotoxicity syndrome (ICANS) (4% Grade 4, 4% Grade 3, 8% Grade 2, 15% Grade 1) and forty-nine patients (94%) experienced cytokine release syndrome (CRS) (2% Grade 3, 65% Grade 2, 27% Grade 1), during the 30 days following cell re-infusion. Seven patients (13%) were admitted to the ICU, with a median in-hospital length of stay for all 52 patients of 12.5 days (IQR 7.0, 99.0). None of the variables tested (age, sex, bridging therapy, LDH, CRP and frailty assessments) were significantly associated with the development or grade of CRS or ICANS. There have been 21 progression events and 18 deaths (6 without progression); 9 pts remain alive post-progression (Figure 1). On univariable analysis of baseline data, ECOG performance status, LDH level, and the VES-13 score were predictive of PFS, while ECOG, LDH, CRP, VES-13 score, CFS and the time to walk 4m were predictive of OS. The HCT-CI and CIRS score were not significantly associated with outcomes. On multivariable analysis of PFS, baseline VES-13 score (HR 1.17, p=0.04) and LDH (HR 1.002, p=0.05) remained significant. Multivariable analysis for OS was not performed due to insufficient number of events. Analyses incorporating repeated measures were performed, and on univariable analysis, the CFS, 4m walk test (s), LDH, VES-13 were significantly associated with PFS and the same variables and CRP were associated with OS (Table 1). On multivariable repeated measurements analyses, only the CFS was still associated with PFS, and CFS and LDH with OS (Table 1). Conclusions Conducting serial frailty assessments in patients undergoing CAR T therapy is feasible. The only longitudinal measurement of frailty found to have clinically significant changes between timepoints was the CFS, suggesting an element of reversible functional impairment related to patients' lymphoma. Within the limits of our sample size, baseline measures of frailty were not predictive of CRS or ICANS; the relationship of CFS change over time with PFS and OS may be indicative of lymphoma response. Enrollment is ongoing and data on larger number of patients with longer term follow-up are needed.

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 enseignants0,014
Score d'incertitude au seuil0,027

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
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
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 Opus0,031
Tête enseignante GPT0,310
Écart entre enseignants0,279 · 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

Citations2
Publié2023
Routes d'admission2
Résumé présentoui

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