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Enregistrement W2980132597 · doi:10.1182/blood.v120.21.4938.4938

The Effects of Azacitidine On Quality of Life: A Prospective Longitudinal Assessment

2012· article· en· W2980132597 sur OpenAlexaff
Eric Tseng, Richard A. Wells, Shabbir M.H. Alibhai, Adam Lam, Alex Mamedov, Lisa Chodirker, Liying Zhang, Dina Khalaf, Anca Prica, Martha Lenis, Rena Buckstein

Notice bibliographique

RevueBlood · 2012
Typearticle
Langueen
DomaineMedicine
ThématiquePneumocystis jirovecii pneumonia detection and treatment
Établissements canadiensUniversity Health NetworkHealth Sciences CentreSunnybrook Health Science CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineQuality of life (healthcare)Repeated measures designProspective cohort studyPhysical therapyRandomized controlled trialAzacitidineAnalysis of varianceRandomizationLongitudinal studyCovariateInternal medicineStatistics

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 4938 The effect of azacitidine (AZA) on health related quality of life (QOL) compared with best supportive care in MDS patients has been evaluated by Kornblith A. et al (JCO 2002) in a prospective randomized CALGB trial. The study demonstrated improved fatigue, dyspnea, physical functioning and psychological state in patients receiving AZA. One limitation is the relatively short follow up (last QOL measured at 8. 6 months) and the lack of validation in a non-trial setting. We have been conducting prospective assessments of QOL in all patients registered at our MDS clinic using the instruments EORTC QLQ-C30, FACT-Fatigue, EQ-5D and a global fatigue scale. We present longitudinal data on 56 registered patients registered in our program who were treated with AZA, 50 with serial QOLs. Methods: We examined and compared QOL scores at AZA start (baseline) and over time in all patients. We considered the following co-variates' potential impact on QOL scores: age, sex, IPSS, time from diagnosis, being a responder, # cycles and transfusion dependence. We used univariate linear regression analysis for continuous variables and analysis of variance (ANOVA) for categorical variables to determine their relationship with QOL scores at baseline and over time. For time-dependent covariates, linear mixed model was performed with random intercept and unstructured covariance matrix. Clinically significant (CS) score differences were considered 10 points for the QLQ-C30, 4 for the FACT-Fatigue and 0. 08 for the EQ-5D (7 for the visual analog score). The impact of baseline covariates on the QOL scores for global health, fatigue and dyspnea were determined by backward selection procedure of regression analysis using the Bonferroni adjusted P value of <0. 01 for multiple comparisons. Patients provided informed consent for this REB approved study. Results: 56 MDS patients consented to our registry have been treated with AZA between Oct 2008 and July 2012. The median age was 72, 60% were male and 77% had int-2/high risk IPSS MDS. 64 % were transfusion dependent (TD) at baseline. With a median time to death or last follow up of 16 months (range 1. 5–45) a median of 11 cycles of AZA were administered with 34% remaining on drug for a median of 25 cycles (IQR 8–32). The overall response rate (ORR) was 62%: 25% CR; 5% MCR; 4% PR; 28% HI. Stable disease (SD) was seen in 26% and not considered a response. 53% became transfusion independent (TI). 59% have died and 61% developed leukemia or progressed to > 30% blasts at a median time of 13 months. Overall survival was 18 months (95% CI 14. 5–26). 50 were evaluable for HrQOL with a median time between each serial QOL of 13 weeks (IQR 10–18). QOL was assessed at baseline (within 12 weeks pre-AZA start) in 50 patients, 2x in 44, 3x in 32, 4x in 22 and 5x in 14 patients (exceeding 52 weeks follow up). Looking at all 50 patients, overall, function and symptom domains remained stable over time in all instruments. At baseline, there were no statistically significant differences in QOL scores between responders and non responders. Nevertheless, clinically important differences were seen in physical, role, cognitive and social functioning, global health status (all higher in responders). Assessing QOL changes over time and considering baseline and time-dependent predictive factors in multivariate analysis, responders had significantly superior global health status (p=. 001) and EQ-5D scores (p=. 0002) and lower levels of fatigue (p<. 0001). If transfusion dependence status at time of QOL was included in the model, this often supplanted response as predictive of higher scores over time, likely representing the strong relationship between response and transfusion dependence. Conclusions: In addition to validating the clinical outcomes of AZA-001 study, we validate the importance of clinical response on QOL in MDS patients treated with AZA. Unlike the CALGB study, we observed relative stability in global health status and fatigue scores in responding patients and overall declines in non-responding patients. The higher scores at baseline in the patients destined for response raises the intriguing possibility that QOL at AZA start may be independently predictive of response perhaps because of improved tolerability and ability to remain on drug for the requisite number of cycles to achieve response. Disclosures: Wells: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Buckstein:Celgene: 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)0,005
score de la tête « metaresearch » (Gemma)0,004
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 enseignants0,005
Score d'incertitude au seuil0,025

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
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 Opus0,020
Tête enseignante GPT0,319
Écart entre enseignants0,299 · 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

Citations1
Publié2012
Routes d'admission1
Résumé présentoui

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