Quality of Life Scores Improve with Increasing Hemoglobin but Optimal Thresholds Vary According to Transfusion Dependence and Clinical Risk Scores: A Canadian Cross Sectional Study of 689 Patients with 2969 Measurements
Notice bibliographique
Résumé
Abstract Background : We previously presented that selected quality of life (QOL) domains in MDS patients are impaired compared with age-matched controls and most impacted by hemoglobin (Hgb) level, transfusion dependence, frailty and comorbidity in an initial cohort of 236 patients from a Canadian MDS registry (Buckstein R. et al, Abstract 699, ASH 2012 and Abstract 2500, ASH 2009). The optimal Hgb threshold associated with improved QOL may vary according to health states that may fluctuate for any given patient. With longer follow up and greater sample size, we now examine the impact of Hgb levels on QOL in transfusion dependent (TD) versus independent (TI) patients and according to IPSS-R risk scores. Methods:Since 2008, we have prospectively assessed QOL in all patients registered in the Canadian national MDS registry using the instruments EORTC QLQ-C30, FACT-F, global fatigue scale (GFS) and EQ-5D, at enrollment and every 4-6 months. These QOL data are paired with disease specific and laboratory information at the same time intervals. Each patient could provide multiple QOL measurements at different time points. Clinically significant score differences were considered 10 points for the EORTC, 0.08 for the EQ-5D and 4 for the FACT F. General linear regression analysis was applied to search for a significant relationship between physical and social functioning, dyspnea, fatigue and QOL with Hgb, according to transfusion dependence, IPSS and IPSS-R measured categorically. To account for multiple comparisons among 5 Hgb categories, Bonferroni adjusted p-value < .01 was considered statistically significant. Results: 689 patients from 15 Canadian sites completed their first QOL assessment at a median time of 7.8 (IQR 2.7-23) months from MDS diagnosis. The median time from MDS diagnosis to death or last follow-up was 2.5 years (IQR 1.2-4.9). The median Hgb at enrollment was 100 g/L (IQR 86-113) and the distribution of risk scores included: very low (13%); low (35%); intermediate (28%); high (15%); and very high (10%). 27% of patients were TD at enrollment and 54% were TD at any time. The median number of QOL assessments per patient completed was 3 (IQR 2-6) with 547 patients completing at least 2, 424 at least 3 and 335 at least 4 serial QOL measurements at a median time interval of 17 weeks (IQR 13-25). When examined by Hgb thresholds, mean physical functioning, dyspnea, fatigue (QLQ-C30 and GFS) and global QOL improved with increasing Hgb. QOL symptom and function scores were clinically and statistically significantly superior in TI versus TD patients (table 1). The optimal discriminating Hgb threshold for improved symptom and function scores was 100 g/L for patients that were TI or with IPSS-R very low, low and intermediate risk MDS; and 90 g/L for high and very high risk disease (table 2). No discriminating threshold was found in TD patients. Conclusions: In the largest reported serial cross sectional population based assessment of QOL in MDS patients, we confirm that higher Hgb and transfusion independence have significant impact on QOL, symptoms and self-reported function and should be considered important surrogate endpoints for clinical improvement. Disclosures Buckstein: Novartis: Honoraria; Celgene: Honoraria, Research Funding. Wells:Janssen: Honoraria, Other: Advisory Board; Celgene: Honoraria, Other: advisory board; Novartis: Honoraria, Other: advisory board; Alexion: Honoraria, Other: Advisory board. Zhu:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Geddes:Celgene: Other: Advisory Board, Research Funding. Sabloff:Gilead: Research Funding; Novartis Canada: Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Lundbeck: Research Funding. Leber:BMS Canada: Honoraria, Research Funding, Speakers Bureau; Celgene: Honoraria, 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. Storring:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Yee:Novartis Canada: Membership on an entity's Board of Directors or advisory committees, Research Funding. Leitch:Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. St-Hilaire:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis Canada: Membership on an entity's Board of Directors or advisory committees. Nevill:Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Shamy:Celgene: Honoraria, Other: Advisory board; Amgen: 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. Kumar:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees. Delage:Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: 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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».