Results From a Phase IV Open-Label Study Evaluating Changes In Bone Marrow Morphology In Adult Immune Thrombocytopenia (ITP) Patients Receiving Romiplostim: Analysis Of The 1- and 2-Year Romiplostim Cohorts
Notice bibliographique
Résumé
Abstract Introduction Reticulin is a normal and common component of the bone marrow stroma. In clinical trials of adults with chronic ITP treated with the thrombopoietin mimetic romiplostim, a small number of cases of reticulin and/or collagen in bone marrow were reported. However, bone marrow biopsies were not systematically performed in these trials. Here, we report a multicenter study of adult ITP patients that evaluated bone marrow biopsies for reticulin and collagen pre- and post-treatment with romiplostim. Methods Eligible ITP patients had platelet counts <50x109/L, received ≥1 prior ITP therapy, and no collagen in baseline bone marrow biopsies (ie, before romiplostim). Three cohorts of patients were scheduled for biopsies after 1 (Cohort 1), 2 (Cohort 2), or 3 years of romiplostim, dosed to maintain platelet counts at 50–200x109/L. Bone marrow biopsies were also performed if patients discontinued early or failed to achieve/maintain a response to romiplostim, defined as platelet counts ≤20x109/L for 4 consecutive weeks at the maximum romiplostim dose of 10 µg/kg. Reticulin and collagen formation were measured using the modified Bauermeister scale (0 no reticulin; 1 occasional fine fibers/foci fine fiber network; 2 fine fiber network; 3 diffuse fiber network, scattered coarse fibers; 4 diffuse coarse fiber network with areas of collagenization). Collagen was detected by trichrome staining and reticulin by silver staining. Cohort 1 biopsy samples were reread as the modified Bauermeister scale had not been applied as specified in the study protocol. All samples were read by 2 hematopathologists at a central bone marrow laboratory with grading discrepancies reviewed by an independent bone marrow panel. Data cutoff for this analysis was August 10, 2012. Results Of the 50 patients enrolled in Cohort 1 (54% female, mean age 55.5 years, range 20–86 years), 39 patients received romiplostim and had bone marrow biopsies (Table). Mean (SD) dose was 3.8 (2.9) µg/kg. No patients with evaluable results developed collagen. No patients had an increase ≥2 grades from baseline in reticulin. Of the 50 patients enrolled in Cohort 2 (76% female, mean age 48.6 years, range 19–83 years), 39 patients received romiplostim and had bone marrow biopsies (Table). Mean (SD) dose was 4.1 (3.2) µg/kg. Again, of the patients with evaluable results, none developed collagen. Two patients had a 2-grade increase in reticulin (1 patient: baseline grade 0 to 2 at year 2; 1 patient: baseline grade 1 to 3 at end of treatment). The safety profile was similar to previous trials. In Cohort 1, 3 patients died (not attributed to romiplostim); causes were fungal sepsis in a patient with longstanding corticosteroid use, cerebral hemorrhage, and pulmonary hemorrhage in a patient with pulmonary thrombosis treated with acenocumarol. In Cohort 2, 2 patients died (not attributed to romiplostim); causes were acute renal failure, in a patient with a medical history of chronic renal insufficiency, and suicide. There were no neutralizing antibodies to romiplostim or thrombopoietin in the 2 cohorts. Summary/Conclusion There was no evidence of collagen formation after 2 years of romiplostim treatment. The incidence of increase in reticulin was low, consistent with results of previous romiplostim studies. This ongoing study will provide additional data on bone marrow changes with up to 3 years of romiplostim treatment. At completion of year 1 treatment, discontinuations included withdrew consent (n=5), non-responders (n=4), died (n=3), adverse event (n=1, severe joint pain), administration decision (n=1). At completion of year 2 treatment, discontinuations included withdrew consent (n=6), non-responders (n=2), declined biopsy (n=2), adverse events (n=2, dermatitis and suspected non-Hodgkins lymphoma), died (n=1), required alternate therapy (n=1). Disclosures: Janssens: Amgen, GSK, Mundipharma, Roche: Membership on an entity’s Board of Directors or advisory committees. Rodeghiero:Amgen, GSK: Honoraria; Amgen, Eisai, GSK, LFB, Suppremol: Membership on an entity’s Board of Directors or advisory committees. Chong:Amgen, GSK: Research Funding. Pabinger:CSL Behring: Research Funding; Amgen, Baxter, Bayer, Boehringer Ingelheim, CSL Behring, Pfizer: Honoraria; Amgen, Baxter, Bayer, Boehringer Ingelheim, CSL Behring, Pfizer: Membership on an entity’s Board of Directors or advisory committees. Cervinek:Alexion, Amgen, GSK: Consultancy. Wang:Amgen: Employment, Equity Ownership. Lopez:Amgen: Employment, Equity Ownership.
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 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 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 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 ».