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Enregistrement W3213196162 · doi:10.1182/blood-2021-144554

Predictors for Improvement in Patient-Reported Outcomes: <i>Post-Hoc</i> Analysis of a Phase 3 Randomized, Open-Label Study of Eculizumab and Ravulizumab in Complement Inhibitor-Naïve Patients with Paroxysmal Nocturnal Hemoglobinuria (PNH)

2021· article· en· W3213196162 sur OpenAlexaff
Hubert Schrezenmeier, Austin Kulasekararaj, Lindsay Mitchell, Régis Peffault de Latour, Timothy Devos, Shinichiro Okamoto, Richard A. Wells, Karissa Johnston, Evan Popoff, Antoinette Cheung, Jimmy Wang, Philippe Gustovic, Alice Wang, Ioannis Tomazos, Yogesh Patel, Jong Wook Lee

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiqueComplement system in diseases
Établissements canadiensHealth Sciences CentreSunnybrook Health Science Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineEculizumabInternal medicineQuality of life (healthcare)Post-hoc analysisPhysical therapyImmunologyComplement system

Résumé

récupéré en direct d'OpenAlex

Abstract Background : Patients with PNH have uncontrolled terminal complement activation that can lead to thrombosis, organ damage, intravascular hemolysis (IVH), and clinical sequelae. It is also associated with debilitating patient-reported outcomes (PROs), such as fatigue, dyspnea, and pain that contribute to a poor quality of life (QoL). Whilst it is known that improvements in clinical outcomes are associated with C5 inhibitor (C5i) therapy in patients with PNH, evidence characterizing the relationship between clinical outcomes and fatigue or QoL are limited. Understanding key clinical drivers of improvements in QoL and fatigue during complement C5i therapy is vital for developing appropriate management strategies. Aims : To assess the relationship between clinical outcomes with fatigue and QoL, as measured by Functional Assessment of Chronic Illness Therapy - Fatigue (FACIT-F) and the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire - Core 30 Global Health (EORTC QLQ-C30 GH), in patients with PNH receiving C5i therapy. Methods : Post-hoc analyses were performed using data from a 26-week data cut of a randomized phase 3 study (NCT02946463) that assessed ravulizumab and eculizumab in complement inhibitor-naïve patients with PNH and high disease activity (defined as a lactate dehydrogenase [LDH] level ≥ 1.5 × upper limit of normal [ULN; 246 U/L] and ≥ 1 sign or symptom of PNH at screening). The PRO measures (PROMs) used were FACIT-F and EORTC QLQ-C30 GH. Clinical variables included LDH, hemoglobin (Hb), bone marrow disorders, transfusions, and hematological parameters such as reticulocyte, platelet, and neutrophil counts. Multivariable regressions were performed separately for each PROM to assess the effect of clinical variables on PROM score changes from baseline to day 183, controlling for demographic characteristics and baseline PROM scores. Multicollinearity between covariates was tested in each regression model and removed when present. Results : Data for 121 and 125 patients with PNH treated with eculizumab or ravulizumab were included, respectively. Trial data showed that reduced LDH levels at day 183 were associated with improvements in FACIT-F in both treatment groups; however, no equivalent association was observed with Hb levels (Figure 1). In the regression analyses, significant predictors of FACIT-F improvement included reductions in LDH levels from baseline to day 183 (p = 0.0024) and the interaction of both achieving a LDH level ≤ 1.5 × ULN by day 183 and improvements in Hb from baseline (p = 0.0285). Similarly, significant predictors of EORTC QLQ-C30 GH improvement also included reductions in LDH levels from baseline to day 183 (p &amp;lt; 0.0001) and an increase in Hb from baseline to day 183 after receiving a transfusion during the study period (p = 0.02). However, Hb as a main effect, whether as an improvement in Hb levels from baseline to day 183, or Hb values at baseline, were not statistically significant predictors of improvement in either PROM at day 183. Conclusions : In this analysis, key clinical drivers of improvement in PROMs were determined among patients with PNH receiving C5i therapy. When multiple clinical variables were considered, reductions in LDH were one of the strongest predictors of improvements in fatigue and QoL. Increases in Hb levels from baseline were only a significant predictor of improvement in FACIT-F for patients who had attained LDH level ≤ 1.5 × ULN at day 183, highlighting the importance of controlling IVH in patients with PNH. Finally, these results suggest that Hb alone is not a strong predictor of improvements of fatigue and QoL in this disease setting. Figure 1 Figure 1. Disclosures Schrezenmeier: Alexion, AstraZeneca Rare Disease: Honoraria, Other: Travel support, Research Funding; Apellis: Honoraria; Roche: Honoraria; Sanofi: Honoraria; Novartis: Honoraria. Kulasekararaj: F. Hoffmann-La Roche Ltd.: Consultancy, Honoraria, Speakers Bureau; Apellis: Consultancy; Akari: Consultancy, Honoraria, Speakers Bureau; Biocryst: Consultancy, Honoraria, Speakers Bureau; Achilleon: Consultancy, Honoraria, Speakers Bureau; Alexion: Consultancy, Honoraria, Speakers Bureau; Ra Pharma: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau; Novartis: Consultancy, Honoraria, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Alexion, AstraZeneca Rare Disease Inc.: Consultancy, Honoraria, Other: Travel support. Mitchell: Alexion, AstraZeneca Rare Disease Inc.: Honoraria. Peffault De Latour: Jazz Pharmaceuticals: Honoraria; Amgen: Consultancy, Other, Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding; Alexion, AstraZeneca Rare Disease: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding. Devos: AbbVie: Consultancy; Alexion, AstraZeneca Rare Disease Inc.: Consultancy; Incyte: Consultancy; Novartis: Consultancy; Bristol Myers Squibb - Celegene: Consultancy. Okamoto: Alexion, AstraZeneca Rare Disease Inc.: Honoraria, Research Funding. Wells: Alexion, AstraZeneca Rare Disease Inc.: Consultancy, Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Johnston: Broadstreet HEOR: Current Employment. Popoff: Broadstreet HEOR: Current Employment. Cheung: Broadstreet HEOR: Current Employment. Wang: Alexion, AstraZeneca Rare Disease Inc.: Current Employment. Gustovic: Alexion, AstraZeneca Rare Disease: Current Employment. Wang: Alexion, AstraZeneca Rare Disease: Current Employment. Tomazos: Alexion, AstraZeneca Rare Disease: Current Employment. Patel: Alexion, AstraZeneca Rare Disease Inc.: Current Employment. Lee: Alexion, AstraZeneca Rare Disease: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,796
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

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

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 Opus0,016
Tête enseignante GPT0,284
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 tête enseignante, pas un consensus.

Devis d'étudeEssai randomisé
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

Citations5
Publié2021
Routes d'admission1
Résumé présentoui

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