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Enregistrement W4310119285 · doi:10.1182/blood-2022-169406

Real-World Outcomes and Adverse Events of Elderly Patients with Ph-Negative Acute Lymphoblastic Leukemia Treated with a Pediatric-Inspired Protocol

2022· article· en· W4310119285 sur OpenAlexaff
María Agustina Perusini, Jad Sibai, Eshetu G. Atenafu, Aniket Bankar, Mark D. Minden, Vikas Gupta, Dawn Maze, Marta Davidson, Steven M. Chan, Aaron D. Schimmer, Guillaume Richard‐Carpentier, Josephine Anne Lucero, Claire Andrews, Dennis Dong Hwan Kim, Karen Yee, Andre C. Schuh, Hassan Sibai

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineAdverse effectRegimenInduction chemotherapyConfidence intervalAsparaginaseProportional hazards modelChemotherapy regimenInternal medicinePediatricsChemotherapyLymphoblastic LeukemiaLeukemia

Résumé

récupéré en direct d'OpenAlex

Poor outcomes in elderly patients with Acute Lymphoblastic Leukemia (ALL) result from the disease's adverse biology and poor tolerance to chemotherapy, leading to dose reductions, treatment delays, and high rates of early death and treatment-related mortality. Some reports indicate that pediatric-inspired chemotherapy protocols can be safely and efficiently used in older adults, resulting in improved median overall survival (mOS) ranging from 17 to 40 months. Despite such reports, front-line implementation of pediatric-inspired approaches to elderly patients with ALL remains a topic of discussion. Our goal is to estimate OS and define adverse events (AEs) in patients with ALL, aged > 60 years, and treated with a pediatric-inspired protocol. Methods All newly diagnosed patients aged > 60 years with Ph-negative ALL who received induction chemotherapy with a modified, asparaginase-intense, pediatric-inspired regimen between January 2002 and January 2022 were included. The treatment regimen consisted of induction, central nervous system prophylaxis, 7 cycles of intensification, and 24 cycles of maintenance. During these 20 years, we switched from native to pegylated E.coli asparaginase. Standard descriptive statistics were used to summarize patients’ demographics and outcomes of interest. 95% confidence intervals were provided where possible. Fisher's exact test was used to assess the impact of categorical covariates of interest on induction mortality. Using Fine-Gray methods, the Multivariable Cox proportional hazards regression model was used to determine the joint effect of potential factors for outcomes. P<0.05 was considered significant. Results A total of 76 patients were included. Patient and disease characteristics are presented in table 1. The median dose of Peg-asparaginase and L- asparaginase were 935 iu/m2 (477-1,111 iu/m2) and 5,944 iu/m2 (4,388-15,000 iu/m2) respectively. AEs rates found were severe pancreatitis 3.9%, thrombosis at any time during treatment 43.2%, hypofibrinogenemia <1g/L 30.6%, CTCAE grade IV transaminases, and total bilirubin 35.2%, and 17.3% respectively. The induction mortality rate was 12% (N=9) and the complete remission rate after induction (CR1) was achieved at 79% (n=60). Allogeneic hematopoietic stem cell transplantation in CR1 was carried out for 9.2% (N=7). The median follow-up among survivors was 49.7 months (range: 9-155) and the mOS was 35.1 months (95%CI: >19.3) (figure 1). OS rate at 1 and 4 years was 73.6% (95%CI: 62 - 82) and 42.2% (95%CI: 29.3 - 54.6) respectively, with a cumulative incidence of relapse from the date of diagnosis at 12 months of 12% (95% CI: 5.8 - 20). Leukemia-free survival rate at 4 years was 42.4% (95% IC 30 - 53). For the patients with early mortality, 5 patients had L-asparaginase, 3 patients had no asparaginase, and one Peg-asparaginase (11.11%). In contrast, in the no early mortality group, 46 (68.6%) patients received L-asparaginase, 2 (2.9%) patients had no asparaginase, and 19 (28.3%) patients received Peg-asparaginase (p=0.011). In univariate analysis, variables significantly associated with worse OS were: older age [<70 years old (n=46) median OS 70.8 months (95%CI >31.1) vs >70 years old (n=30)14.4 months (95%CI 9.2-54.2) (p=0.016)], higher WBC count [<11x10e9/L (n=54) median OS was 70 months (95%CI 27-NA), while in those with WBC >11x10e9/L (n=22) was 17.2 months (95%IC 6-31) (p= 0.004)], and no asparaginase given [OS at 12 months was: 85% (95%CI 60.4 -94.9) in patients treated with Peg-asparaginase; 72.4% (95%CI 57.9-82.6) in patients treated with L-asparaginase, and 40% (95%CI 5.2-75.3) in patients that did not receive asparaginase (p=0.0021). In multivariable analysis, younger age and lower WBC remained independent significant prognostic factors for increased OS [Patients <70 years old HR 2.67 (95% CI[1.38 - 5.17], p=0.0034) and patients with WBC <11x10e9/L HR 2.5 (95% CI [1.30- 4.82], p= 0.007)]. Conclusions The use of a pediatric-inspired chemotherapy protocol is shown to be effective and well tolerated in patients with Ph-negative ALL aged >60 years. Although AE rates were not negligible, outcomes were excellent and, early mortality improved over prior reports (Marc Poch Martell et al, BJH 2013, early mortality 20%). Further research will be needed to understand how the outcomes could be improved further using newer targeted treatments. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0,006
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 enseignants0,002
Score d'incertitude au seuil0,012

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0000,001
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)0,0000,000

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 GPT0,262
Écart entre enseignants0,253 · 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

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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