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Enregistrement W3213532983 · doi:10.1182/blood-2021-151683

Propensity Score Matching Analysis Comparing Ruxolitinib Vs Historical Controls in 2 nd Line or Beyond Treatment for Chronic Gvhd after Therapy Failure

2021· article· en· W3213532983 sur OpenAlexaffabout
Igor Novitzky‐Basso, Swe Mar Linn, Jennifer White, Mohamed Elemary, Anargyros Xenocostas, Nada Hamad, Sui Tan, Samantha Culos, Arjun Law, Dennis Dong Hwan Kim

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensUniversity of TorontoLondon Health Sciences CentreWestern UniversityVancouver General HospitalSaskatchewan Cancer AgencyUniversity of SaskatchewanBC Cancer AgencyPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicinePrednisoneRuxolitinibInternal medicineRituximabSalvage therapyRetrospective cohort studyPropensity score matchingCorticosteroidSurgeryGastroenterologyChemotherapyMyelofibrosisLymphoma

Résumé

récupéré en direct d'OpenAlex

Abstract Background The REACH3 study has reported greater overall response and failure-free survival (FFS) with Ruxolitinib (RUX) as 2 nd line therapy for steroid-refractory chronic graft versus host disease (cGVHD) in comparison to best available therapy (BAT; NEJM 2021). In addition, our Canadian retrospective study as a real-world experience has reported a promising activity of 64.6% FFS and 83.3% overall survival (OS) at 12 months in 115 patients (pts) treated with RUX from 2016 to 2021 for heavily pretreated cGVHD (ASH 2021). Also, 47.6% pts could reduce corticosteroid dose below 0.1mg/kg/day within 6 months. The present study compared treatment outcomes using a propensity-score matching (PSM) analysis between RUX pts ("RUX group", n=115) and a historical cohort of cGVHD pts treated with BAT as 2 nd line therapy or beyond from 2005 to 2013 ("BAT group", n=311). Statistical endpoints such as FFS, OS and steroid dose reduction were evaluated instead of overall response due to limited response assessment available from retrospective chart reviews. Patients and methods BAT included mycophenolate (43%), prednisone (29%), prednisone/cyclosporine (12%), extracorporeal photopheresis (6%), rituximab (3%), and others (7%). The pts and disease characteristics between the RUX vs BAT groups were not well balanced, as expected: RUX group showed a higher number of pts with severe grade GVHD (59.1% in RUX vs. 20.3% in BAT; p<0.0001), and more heavily pretreated with 4 th line or beyond (84.3% in RUX vs. 17.0% in BAT; p<0.0001). FFS and OS were calculated from the day of starting RUX or BAT therapy, while daily prednisone doses at months 0, 3 and 6 were calculated divided by body weight (kg). PSM analysis was applied to adjust risk factors that were unbalanced between the 2 groups, including GVHD severity at therapy start (mild/moderate vs severe grade), HCT-CI score (0-2 vs 3 or beyond), and treatment line (2nd vs 3rd vs 4th line or beyond). A total of 100 patients (i.e. 50 case-control pairs) were finally extracted through PSM process within 0.2 of calliper difference. PSM analysis balanced out the risk factors between the 2 groups: GVHD severity (p=1.0), HCT-CI score (p=1.0) and treatment line (p=1.0). The FFS and OS rate at 12 months were compared using Cox's proportional hazard model. Results In the overall population (n=426), with a median 19 months follow-up duration, 244 failures (57.3%) were noted. While both groups showed similar failure rates due to non-relapse mortality (NRM), the RUX group showed significantly lower failure rate from cGvHD resistance requiring therapy switch. Failure was noted in 40 pts (33.4%) in RUX due to resistance requiring a switch of therapy (n=23; 20.0%), NRM (n=14, 12.2%) and relapse (n=3; 2.6%), while failure occurred in 204 pts (65.6%) in BAT due to resistance requiring a switch of therapy (n=142; 45.7%), NRM (n=36; 11.6%) and relapse (n=26; 12.7%). The 12 months' FFS rate were 64.7% and 40.1% in RUX vs. BAT group (p<0.0001; Fig 1A), while the 12 months' OS rate were 83.4% and 83.7% in RUX vs. BAT group (p=0.913; Fig 1B). In the propensity score matched (PSM) cohort (n=100), the RUX group showed a survival benefit over the BAT group: the 12 months' FFS rate was 74.0% and 29.7% in RUX vs. BAT group (p<0.0001; Fig 2A), while the 12 months' OS rate were 90.5% and 80.2% in RUX vs. BAT group (p=0.109; Fig 2B). Multivariate analysis in the PSM cohort confirmed that RUX is superior to BAT for FFS (p<0.001, HR 0.267 [0.139-0.516]) together with HCT-CI score 0-2 vs ≥3 (p=0.037, HR 0.490 [0.251-0.959]) with a trend to better survival in RUX over BAT (p=0.110, HR 0.402 [0.131-1.228]). The prednisone dose was gradually reduced over time: the median doses of prednisone at months 0, 3, and 6 were 0.34, 0.16 and 0.02 mg/kg/day in the RUX group, and 0.95, 0.24 and 0.15 mg/kg/day at months 0, 3 and 6 in the BAT group. RUX facilitates the discontinuation of prednisone. The proportions of patients who discontinued prednisone at months 0, 3 and 6 were 8.7%, 15.9% and 24.1% in RUX, and 0.7%, 0% and 2.0% in BAT group. The differences in proportions of pts that discontinued prednisone between the RUX vs BAT groups at months 0, 3, and 6 were 8.0%, 15.9% and 22.1% (Fig 3). Conclusion: The current PSM analysis study suggests that RUX showed a superior FFS to BAT as 2nd line therapy or beyond in cGVHD patients after therapy failure. RUX showed better steroid tapering compared to BAT. Figure 1 Figure 1. Disclosures White: Novartis: Honoraria. Elemary: Pfizer, Janssen: Membership on an entity's Board of Directors or advisory committees; Jazz, BMS, Abbvie, Novartis, Pfiz: Membership on an entity's Board of Directors or advisory committees. Hamad: Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Law: Novartis: Consultancy; Actinium Pharmaceuticals: Research Funding. Kim: Bristol-Meier Squibb: Research Funding; Paladin: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Research Funding.

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)0,004
score de la tête « metaresearch » (Gemma)0,007
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 enseignants0,004
Score d'incertitude au seuil0,021

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,007
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,077
Tête enseignante GPT0,326
Écart entre enseignants0,249 · 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
Publié2021
Routes d'admission2
Résumé présentoui

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