Health Related Quality of Life Remains Stable over Time in Myelodysplastic Syndrome: An MDS-CAN Prospective Study
Notice bibliographique
Résumé
Abstract Background: Health-Related Quality of life (HRQoL) is diminished in patients with myelodysplastic syndrome (MDS). We have previously shown that HRQoL remains stable over time and low hemoglobin, transfusion dependence (TD) and age > 65 years impact QoL1. Here, we present an updated larger data set with longer follow up and consider the impact of baseline characteristics and treatments received on patient-related outcomes. Methods: MDS-CAN is a prospective database active in 15 centers across Canada, enrolling patients since April 2012. In addition to disease and patient-related characteristics, we measure HRQoL at baseline and every 6 months using the EORTC-QLQ-C30, EQ-5D, and a global fatigue scale (GFS). We examined the impact of disease related factors (IPSS, IPSS-R, karyotype, TD), patient factors (ECOG, age, gender, co-morbidity (Charlson index), frailty (Rockwood scale), disability (Lawton-Brody Independent Activities of Daily Living), and treatments received at any time (azacitidine (AZA), lenalidomide, erythropoietin-stimulating agents (ESA), iron chelation) on QoL scores. AZA-treated patients were divided into responders (where documented) or deriving benefit (if > 6 cycles) vs. non-responders. Wilcoxon rank-sum or Kruskal-Wallis nonparametric tests were used to compare scores among subgroups. Changes in QoL were assessed with a linear mixed model to account for time- dependent covariates such as TD, risk scores and treatment. Results: 594 patients were enrolled a median of 2.2 months post diagnosis (IQR: 0.8, 4.8) with a median age of 73 years , 63% male gender and performance status (ECOG) of 0-1 in 90%. IPSS scores were low/int-1 in 73% and IPSS-R scores were very low (9%), low (30%), intermediate (27%), high (20%) and very high (14% of patients). 31% were transfusion dependent at enrolment. Treatments received at any time included AZA (38%), lenalidomide (9.8%), ESA (35%) and iron chelation (12%). At a median follow up of 17 months, 329 patients (55%) died with cause of death reported as AML in 22%. Baseline assessment: Mean EQ-5D global score for the cohort was 0.75 ± 0.25 and did not significantly change over time (Figure 1). Patients with high IPSS, high/very high IPSS-R, TD, lower hemoglobin, higher ECOG, increased comorbidity, frailty and disability were more likely to have lower EQ-5D/QLQ C30 scores (inferior QoL) and higher fatigue (GFS). Age was not significantly related to QoL. Interestingly, female gender was associated with inferior QoL by EQ-5D and GFS (Figure 2). Patients scoring in the lowest quartiles for physical performance tests (grip, 4 metre walk and 10x chair sit-stand tests) also had inferior QoL scores. QoL over time: By linear mixed modelling, we did not find significant differences in QoL over time in patients treated with or without AZA, lenalidomide, or ESAs measured by the EQ-5D instrument. Iron chelation was associated with lower scores (p=0.003) although this may simply be a surrogate for transfusion dependence which is associated with inferior QoL. AZA responding/deriving benefit patients had higher QoL scores from baseline and decreased fatigue compared with those not responding or not deriving benefit (Figure 3) measured by the QLQ-C30 and GFS instruments. Patients with the highest IPSS/IPSS-R risk groups had significantly inferior QoL over time. In conclusion, this study demonstrates that HRQoL remains fairly stable over time in MDS and implementation of treatment is not at the detriment of patient related outcomes. Patients treated with AZA who respond or remain on drug for > 6 months maintain higher QoL scores over time. Disease (IPSS, IPSS-R, hemoglobin, transfusion dependence) and patient-related factors (ECOG, gender, comorbidities, disability, frailty) are associated with reduced HRQoL. The prospective assessment of QoL using a validated MDS-specific QoL instrument (QUALMS) and disease course is underway. 1 Buckstein, R., Alibhai, S.M., Lam, A., et al. The health-related quality of life of MDS patients is impaired and most predicted by transfusion dependence, hemoglobin and age. Leukemia Research. May 2011 Vol 35, Supplement 1, Pages S55-56. Disclosures Wells: Alexion Pharmaceuticals, Inc.: Honoraria, Other: Travel Support , Research Funding; Novartis: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Geddes:Alexion: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Zhu:Janssen: Consultancy; Novartis: Consultancy; Celgene: Consultancy, Research Funding. Sabloff:Celgene: Membership on an entity's Board of Directors or advisory committees. Keating:Bayer: Honoraria, Membership on an entity's Board of Directors or advisory committees. Leber:Novartis Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees. Leitch:Novartis: Honoraria, Research Funding, Speakers Bureau; Celgene: Honoraria, Research Funding; Alexion: Honoraria, Research Funding; AbbVie: Research Funding. Yee:Celgene, Novartis, Otsuka: Membership on an entity's Board of Directors or advisory committees; Agensys, Astex, GSK, Onconova, Genentech/Roche: Research Funding. St-Hilaire:Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Shamy:Amgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Elemary:Roche: Membership on an entity's Board of Directors or advisory committees; Lundbeck: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Delage:Celgene: Membership on an entity's Board of Directors or advisory committees; AbbVie: Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding. Rockwood:Pfizer: Research Funding; Lundbeck: Membership on an entity's Board of Directors or advisory committees; CHIR: Research Funding; Nova Scotia Health research foundation: Research Funding; Sanofi: Research Funding; Capital Health research support: Research Funding; Canadian consortium on neurodegeneration in aging and nutricia: Membership on an entity's Board of Directors or advisory committees; Alzheimer Society of Canada: Research Funding; Foundation Family Fund: Research Funding. Banerji:Teva: Other: Unrestricted grant received in the past; Gilead: Other: Unrestricted grant received in the past; Abbvie: Other: Unrestricted grant received in the past; Roche: Other: Unrestricted grant received in the past; Janssen: Other: Unrestricted grant received in the past. Buckstein:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, 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 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 | 0,002 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».