A dynamic comprehensive geriatric assessment demonstrates improvement in patient fitness after induction and predicts survival and treatment tolerability among older adults with newly diagnosed acute myeloid leukemia
Notice bibliographique
Résumé
Abstract Introduction: A comprehensive geriatric assessment (CGA) is recommended in older adults (OAs, age>60 years) with acute myeloid leukemia (AML) by the EuropeanLeukemia Net (ELN) 2025 Fitness panel (Venditti, Blood Advances, 2025). The CGA has been evaluated in patients (pts) treated with intensive regimens (Klepin, Blood, 2013) and hypomethylating agents (HMA) (Ritchie, Blood Advances, 2022) though data in the current era with HMA+venetoclax (HMA+ven) as the standard of care are limited. Furthermore, change in pt fitness after induction therapy is poorly described despite unanimous ELN panel agreement on the importance of the topic. Finally, the CGA domain of nutrition is understudied in AML. Specifically, sarcopenia, defined as low muscle mass and strength (Cruz-Jentoft, The Lancet, 2019), has to date not been incorporated into a CGA. To fill these gaps in knowledge, we conducted a prospective observational trial (NCT05458258) of a CGA at diagnosis and at the end of induction therapy in OAs with newly diagnosed AML with the hypothesis that sarcopenia would predict early death (ED). Methods: Our prior Trial in Progress abstract (Yates, Blood, 2023) describes the study schema in full. In brief, pts underwent a CGA prior to and after induction (28-40 days after). The primary outcome, ED, was defined as death within 60 days of treatment initiation or from date of diagnosis for those who aimed to start treatment but died before treatment initiation. Secondary outcomes included length of stay (LOS), unscheduled readmissions, and treatment tolerability (defined as ability to finish 2 cycles of HMA+ven within 3 months of treatment start). Subgroup analyses were conducted among those fit by performance status (ECOG PS<2) and excluding those who died before treatment initiation. Multivariable analyses controlled for age, ELN 2024 Less Intensive risk (ELN 2024), and ECOG PS. Results: We recruited 82 pts between 3/1/2023-4/18/2025 with 79 pts included in the final analysis (2 withdrew, 1 diagnosis changed). Data cut off for this pre-planned interim analysis was 7/8/2025. Median age was 73 years (range, 60-93) with most patients being White (79%) and male (58%). ELN 2024 categories were Favorable (56%), Intermediate (27%), and Adverse (17%). Mutations in TP53 (17%), IDH1/2 (20%), NPM1 (17%), FLT-3 ITD (13%), and NRAS/KRAS (17%) were observed. Most pts were treated with less-intensive regimens (83%), primarily HMA+ven (67%). CGA impairments at diagnosis were prevalent despite 79% of pts having ECOG PS 0-2: functional status (instrumental activities of daily living (IADL), 43%), physical function (short physical performance battery (SPPB), 60%), malnutrition (patient-generated subjective global assessment (PG-SGA), 80%), sarcopenia (skeletal muscle index (kg/m2) at L1 from computed tomography and grip strength; impaired if both low, 24%), comorbidities (Charlson Comorbidity Index (CCI), 61%), and cognition (MOCA, 70%). The ED rate was 28% for the whole cohort and 20% when excluding the 8 pts who died before initiating induction. Median follow up and median OS for the whole cohort was 8 months and 14.7 months, respectively. No CGA variables were associated with increased ED rates in multivariable analyses though sarcopenia (Odds Ratio (OR): OR=2.1, 95% CI 0.69-6.44; p=0.19), 6-minute walk test ((6MWT): (OR=0.99, 95% CI 0.98-1.00; p=0.05), and SPPB (OR=7.41, 95% CI 0.67-82.6; p=0.1) neared statistical significance. In multivariable analysis in the whole cohort and subgroups the Timed Up and Go (TUG) test (OR=2.61; 95% CI 1.05-6.48; p=0.04) was the strongest predictor of OS. In multivariable models sarcopenia and TUG predicted treatment tolerability and unscheduled readmissions while IADLs and MOCA were the strongest predictors of LOS. When comparing CGA variables at diagnosis and post-induction therapy significant changes in ECOG PS (mean change=+0.44; p<0.01) and MOCA (mean change +1.03; p=0.02) were found. Furthermore, evaluable pts had clinically meaningful improvements in 6MWT (>50 meters; Ma, JCO, 2025) (62%) and MOCA (>2 points; Wong, JCN, 2017) (56%) at the end of induction. Conclusions: In a cohort of OAs with AML primarily fit by ECOG PS, a CGA uncovered significant impairments in fitness which were associated with survival, treatment tolerability, LOS, and readmissions independent of age, treatment intensity, or ECOG PS. Fitness, particularly cognition and physical function, may improve upon undergoing induction therapy.
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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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».