Ravulizumab Effectiveness in the Real World: Evidence from the International PNH Registry
Notice bibliographique
Résumé
Background Paroxysmal nocturnal hemoglobinuria (PNH) is a rare disease of uncontrolled terminal complement activation on blood cells that can cause intravascular hemolysis (IVH), major adverse vascular events (MAVEs), including thromboembolic events (TEs), and organ damage resulting in early mortality. Complement C5 inhibitors eculizumab (Ecu) and ravulizumab (Rav) are standard-of-care treatments that inhibit terminal complement activity and reduce morbidity and mortality by controlling IVH (reduction of lactate dehydrogenase [LDH]) and preventing TEs. Rav provides the same benefits as Ecu but with substantially longer half-life, improved control of terminal complement, and reduction in breakthrough intravascular hemolysis achieved via weight-based dosing, thus reducing the burden of treatment. Long-term efficacy and safety data are available for up to 20 y from trials and real-world evidence (RWE) with Ecu and up to 6 y from trials in patients (pts) treated with Rav who were naïve to C5 inhibitors or who switched from Ecu to Rav; however, RWE is limited with Rav. The objective of this analysis was to describe pt characteristics at treatment initiation, outcomes, and changes from treatment initiation in laboratory markers of pts switching to Rav from Ecu using data from the prospective, observational International PNH Registry (NCT01374360). Methods The PNH Registry is the largest global real-world database of pts with PNH and provides extensive information on the natural history of PNH, irrespective of PNH treatment status. This analysis included data from pts enrolled in the PNH Registry, with complete information for birth date, sex, enrollment date, and Ecu/Rav treatment status. Pts included in the study switched from >6 mos of Ecu treatment to Rav for >6 mos. Pts were required to have discontinued Ecu within <28 days of Rav initiation. Changes from Rav treatment initiation (baseline) in key laboratory values, including LDH ratio, absolute hemoglobin (Hgb) levels, and Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-Fatigue) scores were analyzed descriptively. Poisson regression estimate of incidence density was used for MAVEs, TEs, and red blood cell (RBC) transfusion rates across treatment exposure during registry follow-up. High disease activity (HDA), defined as LDH ≥1.5 X upper limit of normal and ≥1 of the following: history of a MAVE (including TE), anemia (Hgb <10 g/dL), or physician-reported abdominal pain, dyspnea, dysphagia, fatigue, hemoglobinuria and/or erectile dysfunction, was assessed during follow-up visits. Results As of 3 April 2023, 110 pts in the International PNH Registry had switched to Rav for ≥6 mos. The median age at start of Rav treatment was 42.1 y (Q1, Q3: 33.1, 52.2 years), 50% were female, and 70% were non-Asian. Over 24 mos of follow-up time was recorded for >50% of pts from the analysis population. The median time on Ecu was 6.5 y and Rav was 2 y. During Ecu treatment and before Rav initiation, 20/42 (47.6%) pts had ongoing bone marrow disorder (eg, aplastic/hypoplastic anemia, myelodysplastic syndromes). Before Ecu treatment, 24/101 (23.8%) pts had MAVEs (TE, 18/100 [18.0%] pts) and at Rav initiation, 27/109 (24.8%) pts had MAVEs (TE, 21/109 [19.3%] pts). Over time, Rav maintained IVH and disease control, with minimal change across time points for LDH ratios, absolute Hgb levels, and FACIT-Fatigue scores ( Table 1). Rates of clinical events (ie, MAVEs, TEs, and RBC transfusions) decreased over time from untreated time to time on Ecu treatment and were lowest when pts were treated with Rav ( Table 2). There were no reported MAVEs and TEs in pts treated with Rav. At Rav initiation, 6/65 pts still had HDA; only 1/6 had HDA at last follow-up visit while on Rav. No meningococcal infections or deaths were reported during Rav treatment. Four pts had discontinued Rav treatment (physician decision, switched to other anti-complement treatment, lack of efficacy). Conclusions These data from the International PNH Registry, one of the largest global real-world datasets of Rav-treated pts, confirmed that improvements in clinical outcomes observed with Ecu, including control of IVH, Hgb level, RBC transfusion rates, and fatigue, were maintained with Rav. HDA resolved in most pts when switching from Ecu to Rav. Transfusion rates were lowest with Rav treatment. Pts treated with Rav experienced no MAVEs, TE, meningococcal infections, or deaths.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».