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Enregistrement W4389248026 · doi:10.1182/blood-2023-187346

Longitudinal Patient-Reported Outcomes and Clinical Outcomes By VES-13 and Comprehensive Geriatric Assessment in Older Adults with Aggressive Non-Hodgkin Lymphomas

2023· article· en· W4389248026 sur OpenAlexaboutno aff
P. Connor Johnson, Netana H. Markovitz, Richard Newcomb, Daniel Yang, Julia Rice, Bridget Coffey, Oreofe O. Odejide, Areej El‐Jawahri

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueFrailty in Older Adults
Établissements canadiensnon disponible
Organismes subventionnairesAstraZeneca
Mots-clésMedicineQuality of life (healthcare)Hospital Anxiety and Depression ScaleDepression (economics)AnxietyGeriatric Depression ScalePhysical therapyGeriatric oncologyCancerInternal medicinePsychiatry

Résumé

récupéré en direct d'OpenAlex

Background: Older adults with aggressive non-Hodgkin lymphoma (NHL) can experience durable remissions with therapy but also substantial toxicities and healthcare utilization. The Vulnerable Elders Survey (VES-13) is a 13-item tool assessing age, self-rated health, and ability to perform physical and functional activities (score of 3+ indicates vulnerability). The Fondazione Italiana Linfomi comprehensive geriatric assessment (CGA) assesses age, comorbidities, and ability to perform physical and functional activities and classifies patients as fit, unfit, or frail. Both the VES-13 and CGA hold promise to risk stratify older adults for poor outcomes. Few data are available comparing these tools in assessing risk for poor survival and healthcare utilization, and prior studies have not examined the impact of therapy on longitudinal patient-reported outcomes (PROs). Methods: We conducted a longitudinal prospective study of 105 older adults with aggressive NHL at Massachusetts General Hospital or the Dana-Farber Cancer Institute between 9/2020 and 1/2023. Eligible patients were age >= 65 years at time of treatment initiation receiving combination chemoimmunotherapy. Patients could enroll up until cycle 1 day 8 of therapy. Patients completed questionnaires at baseline and 6 weeks, 12 weeks, 18 weeks, and 6 months post therapy initiation assessing demographics, quality of life (QOL-Functional Assessment of Cancer Therapy-Lymphoma [FACT-Lym]), depression and anxiety (Hospital Depression and Anxiety Scale [HADS]), and physical symptoms (Edmonton Symptom Assessment Scale-revised [ESAS-r]). At baseline patients also completed the VES-13 and underwent CGA evaluated by an oncologist. We utilized linear mixed models to examine longitudinal QOL, depression, anxiety, and physical symptoms. We assessed univariate factors associated with longitudinal QOL. Using Cox regression models controlling for gender, age-adjusted International Prognostic Index (IPI), hypoalbuminemia, Charlson comorbidity index (CCI), and lymphoma subtype, we assessed the relationship of VES-13 and CGA in separate models with overall survival (OS). We also examined factors associated with unplanned hospitalization within 6 months of therapy start using logistic regression. Results: We enrolled 106/163 (65.0%) patients. 1 patient was excluded due to treatment with an ineligible therapy. Patients had a median age of 73 years (range: 65-99, 38.1% >75, 21.9% >=80); most were male gender (64.8%), White race (96.2%), and married/with a life partner (72.4%). The most common lymphoma subtypes were DLBCL (73.0%), DLBCL/high grade B-cell lymphoma with MYC and BCL2 translocations (12.4%), and mantle cell lymphoma (10.5%). The majority (56/104, 53.8%) had an age-adjusted IPI of 2 or 3, over a third (34.3%) had a CCI score of 2+, and 82.9% had an Eastern Cooperative Oncology Group performance status (ECOG PS) of 0-1. 45.7% (48/105) had a VES-13 score of 3+. 40.0%, 9.5%, and 50.5% were fit, unfit, and frail, respectively, on CGA. QOL, depression, anxiety, and physical symptoms all improved over time (Figure 1). QOL improved regardless of age group, VES-13 category (<3 vs 3+), or CGA result (Figure 1). Compared to other patients, those 80+ years with either VES-13 score 3+ (β= -2.90, p=0.045) or frail on CGA (β= -3.68, p=0.007) had a worse QOL trajectory. Income > $50,000 annually (β=2.41; p=0.041) was associated with better QOL trajectory. VES-13 score of 3+ (HR=6.08; p=0.014) and frail on CGA (HR=5.20; p=0.028) were both associated with worse survival. Of those with follow up (N=66), 8 died within 1 year (1-year OS=87.9%), all of whom were both frail on CGA and had VES-13 score 3+. 25.8% (8/31) of the CGA frail patients and 28.6% (8/28) of those with VES-13 3+ died within 1 year. VES-13 score (OR=1.16, p=0.028) was associated with greater likelihood of unplanned hospitalization. Conclusion: Older adults with aggressive NHL often experience improvement in QOL and other PROs with treatment, even across age and frailty categories. VES-13 score and CGA identify patient groups at high risk for early death and poor QOL trajectory, for whom novel therapies and supportive care interventions are warranted. Higher VES-13 score is also associated with higher risk of unplanned hospitalization. Routine assessment of VES-13 and CGA has high potential for early identification of high risk patients and implementation of appropriate interventions.

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)0,002
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,007
Score d'incertitude au seuil0,014

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
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 savante0,0010,001
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 Opus0,018
Tête enseignante GPT0,320
Écart entre enseignants0,302 · 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'admission1
Résumé présentoui

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