Outcomes and Health Resource Utilization Among Second-Line Therapies for Immune Thrombocytopenia: A Provincial Retrospective Cohort Study
Notice bibliographique
Résumé
Abstract Introduction: Immune thrombocytopenia (ITP) is an immune-mediated disorder characterized by increased platelet destruction. Current guidelines recommend either rituximab, splenectomy, or thrombopoietin receptor agonist (TPO-RA) in chronic ITP patients who are unresponsive to first-line corticosteroids or who are corticosteroid-dependent. Though there are known practice variations in choice and timing of second-line therapy in Canada, there are scarce data comparing the outcomes and resource utilization in patients who received these second-line treatment strategies. In this multi-centre retrospective cohort study, we aim to identify differences in health services utilization and ITP-related outcomes in patients who received different second-line ITP therapies. Methods: Adults who received rituximab, splenectomy or TPO-RA as second-line therapy for ITP during 2012-2019 in the province of Alberta, Canada were identified via the provincial special drug access database. Institutional ethics board approval was obtained. We examined treatment patterns including sequencing of therapies and predictors of second-line therapies. Major outcomes documented included ITP-related hospitalizations (bleeding or infections), blood product utilization, major bleeding and thromboembolism, and all-cause mortality. Kaplan-Meier survival curves were used to estimate overall survival and the cumulative incidence of hospitalizations. Log-rank test was used to assess for differences between groups. Results: At the time of interim analysis, 189 adults with chronic ITP received second-line therapy. The median age at the time of second-line therapy was 58 years; 102 (54%) were female. Patients who received TPO-RA were significantly older than those who received rituximab or splenectomy (median 65 years vs 53 vs 49 years; P=0.0008). Rituximab was the most prescribed second-line therapy (108; 57%) followed by splenectomy (45; 24%) and TPO-RA (36; 19%) (Figure 1). Compared to recipients of rituximab, those who received TPO-RA had higher rates of hypertension (64% vs 33%, P=0.004), dyslipidemia (58% vs 20%, P <0.001), and prior history of myocardial infarction (22% vs 6%, P=0.02). On multivariable logistic regression, age (adjusted odds ratio [aOR] 1.03, 95% confidence interval [CI] 1.01-1.05, P=0.01) and a history of thromboembolism prior to second-line therapy (aOR 2.7, 95% 1.04-7.1, P=0.04) were significantly associated with TPO-RA prescription. Sex, rural residence, ITP etiology, major bleeding prior to second-line therapy, and abnormal bone marrow findings were not significant predictors of second-line therapy. During 773 person-years of follow-up, 23 deaths occurred, due to cardiac events (n=6), infections (n=5), malignancies (n=4), bleeding (n=3), and other or unclear causes (n=5). The 5-year overall survival was 88% (95% CI 82-94%), significantly shorter in recipients of second-line TPO-RA (80%) than rituximab (90%) and splenectomy (94%; log-rank P=0.04; Figure 2). The 5-year relapse-free survival was 55% (95% CI 46-65%), with no significant difference between treatment groups (log-rank P=0.8). Overall, 59 (31%) patients required ITP-related hospitalizations following second-line therapy. The median times to hospitalization were 5.1 years, 12.2 years, and not reached in patients receiving rituximab, splenectomy, and TPO-RA, respectively (log-rank P=0.1). Intravenous immunoglobulins and platelet transfusions were frequently utilized across all treatment groups (Table 2). DISCUSSION: Despite a myriad of therapeutic options for chronic ITP, patients still experience a high burden of hospitalization for bleeding or infections, and transfusion requirements. Patients with advanced age and a history of thromboembolism were more likely to receive TPO-RA as second-line ITP therapy. We did not observe a significant difference in relapse-free survival or ITP-related hospitalizations across different second-line therapies, although this may be limited by our sample size and duration of follow-up. At present, significant cost of TPO-RAs limits their availability as second-line therapy in many publicly funded healthcare systems. Real-world data are important in guiding future cost-effectiveness analysis to assess the impact of second-line therapies on the overall healthcare system. Figure 1 Figure 1. Disclosures Sun: Shire: Consultancy; Octapharma: Consultancy, Research Funding; Pfizer: Consultancy; Novo Nordisk: Consultancy; Bayer: Consultancy.
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 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,001 | 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 ».