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Enregistrement W2594242280 · doi:10.1182/blood.v116.21.2571.2571

The Effects of Azacitidine on Quality of Life Measured Longitudinally In MDS Patients Treated at a Tertiary Care Center

2010· article· en· W2594242280 sur OpenAlexaff
Sarah Ingber, Kim D. Thompson, Adam Lam, Alex Mamedov, Liying Zhang, S. M. Alibhai, David Good, Alden Chesney, Marciano D. Reis, Matthew C. Cheung, Vicky Harris, Richard A. Wells, Rena Buckstein

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensHealth Sciences CentreUniversity Health NetworkSunnybrook Health Science CentreWestern UniversityUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésInternational Prognostic Scoring SystemMedicineAzacitidineMyelodysplastic syndromesQuality of life (healthcare)Internal medicineOncologyRandomized controlled trialBone marrow

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 2571 Background: Myelodysplastic syndromes (MDS) are clonal hematopoetic stem cell disorders characterized by ineffective hematopoiesis and a propensity to develop AML predicted by conventional scoring systems such as the International Prognostic Scoring System (IPSS). Azacitidine (AZA), a hypomethylating agent is indicated for high and high intermediate IPSS scores based on survival and leukemia-free survival benefits demonstrated in randomized trials (Silverman 2002, 2006, Fenaux 2009). Additionally, improvements in fatigue, dyspnea, physical functioning, affect and psychological distress were demonstrated in the CALGB study (Kornblith 2002). We previously showed that most symptom and functional domains of quality of life (QOL) are impaired in MDS patients measured by several instruments and are primarily determined by Hb and transfusion dependence (Buckstein 2009). With the exception of the CALGB paper, there is a paucity of data assessing the ‘real world' QOL in MDS patients treated with AZA longitudinally. All consented patients with MDS followed at our center have QOL assessed every 3–4 months as part of routine care. We present the QOL scores of patients on AZA as assessed by the EORTC QLQ-C30, EQ-5D and a global fatigue scale. Methods: Clinically significant score differences were considered to be 10 points for the EORTC, and 0.05 for the EQ-5D. Linear regression analysis was used to detect each QOL change over time. Log-transformation was applied for all QOL scores to normalize the distribution. To search for significant predictive factors of each QOL, linear regression analysis (for continuous predictive factors) or Analysis of Variance (for binary predictive factors) was conducted at baseline. A two-sided p-value less than 0.05 was considered statistically significant. Results: 30 patients in our database were/are currently treated with AZA. The median age was 73 years, with 63% being male. Of the 26 patients with measureable IPSS scores, 54% were high/high intermediate risk. Seventy percent had a Hb <100 at the time of baseline QOL prior to AZA, 50% had a ferritin ≥ 1000 ug/L, 65% were transfusion dependent (TD) as defined by the WPSS (Malcovati 2007). Sixty-seven percent of patients were on AZA for ≥ 4 cycles of treatment. Of the 19 TD patients only 3 became transfusion independent (TI) on AZA and 3 patients who were TI at baseline became TD. Of the 30 patients, 20 have QOL data available for analysis with a median follow up time of 10 weeks (range 0–80) and an interval duration between QOL assessments of 15.5 weeks. Fourteen out of twenty patients have serial QOL assessments, 5 with two, 9 with three or more. The only clinically significant improvements were observed with the EORTC physical functioning and fatigue subscales but constipation scores were higher and global health status/QOL deteriorated over time (Figure 1). At baseline assessment ferritin ≥ 1000 ug/L was negatively associated with physical functioning (p=.0007), cognitive functioning (p=.0012), global QOL (p=.0048) and global fatigue (p=.0003) while transfusion dependence was not predictive of QOL scores. No significant clinical improvements were detected by linear regression or ANOVA over time, but constipation worsened using both models. The health utilities (determined by the summary score of the EQ-5D) are seen in table 1. Conclusion: Many clinically important function and symptom domains of 3 different QOL instruments have not changed significantly over time in our patients receiving AZA. This is likely explainable by the limited sample size and serial number of assessments in our patients. Our present patient population is higher risk than that tested in the CALGB study and our previous report on the MDS patients in our database. Furthermore, we have yet to see the rates of transfusion independence that might be associated with improved QOL. The negative association of increased ferritin with numerous symptom and function scores may simply be a surrogate for the extent of transfusion dependence. We hope that with longer follow up and larger sample size, we will be able to reproduce the QOL benefits observed in the pivotal CALGB trial (Kornblith 2002). Disclosure: No relevant conflicts of interest to declare.

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)0,001
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,010
Score d'incertitude au seuil0,020

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,014
Tête enseignante GPT0,282
Écart entre enseignants0,268 · 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

Citations4
Publié2010
Routes d'admission1
Résumé présentoui

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