Persistence and compliance of deferoxamine versus deferasirox in Medicaid patients with sickle-cell disease
Notice bibliographique
Résumé
WHAT IS KNOWN AND OBJECTIVE: Patients with sickle-cell disease (SCD) receiving chronic transfusions of red blood cells are at risk of developing serious adverse effects. Iron chelation therapy (ICT) helps eliminate iron overload by binding with plasma iron to form a non-toxic conjugate that can be safely excreted from the body. Two iron chelating agents are currently available in the United States: Deferoxamine (DFO) is an injectable formulation, and deferasirox (Exjade(®) ) is an oral suspension. This study compared the frequency of hospitalizations, persistence and compliance of patients with SCD from Medicaid programmes treated with DFO vs. deferasirox. METHODS: Health care claims from Medicaid Florida (1998-2007), Missouri (1993-2008) and New Jersey (1996-2008) were analysed. Patients with continuous enrolment for ≥6months prior to ICT initiation and ≥1 SCD diagnosis were included in the analysis. Patients were divided into four cohorts: patients treated with DFO (any-DFO group) and patients treated with deferasirox (any-deferasirox group); the latter was further divided into patients initiated on DFO and then switched to deferasirox (deferasirox switchers), and patients treated with deferasirox-only (deferasirox-only group). Frequency of hospitalization for crisis conditions related to SCD as well as length of stay pre- and post-ICT treatment initiation were assessed. Persistence was defined as time to drug discontinuation with ≥1 Rx gap, using Kaplan-Meier approach. Compliance was estimated using a medication possession ratio (MPR) based on the drug exposure approach. Adjusted analyses of persistence and compliance were also conducted. RESULTS: A total of 217 (mean age: 19·4years, 39·2 men), 275 (20·1years, 41·5% men), 105 (19·4years, 42·9% men) and 166 (20·4years, 41·6% men) patients were included in the any-DFO, any-deferasirox, deferasirox switchers and deferasirox-only groups, respectively. After ICT initiation, the any-deferasirox and deferasirox-only groups experienced a statistically significant reduction in the frequency of hospitalizations relative to pretreatment [any-deferasirox: from 0·09 to 0·06 hospitalizations per patient per month (pmpm), P=0·0105; deferasirox-only: from 0·11 to 0·07 hospitalizations pmpm, P=0·0188], whereas it remained stable in the any-DFO group at 0·08 hospitalizations pmpm (P=0·9483). The Kaplan-Meier rates of medication persistence assessed at 6 and 12months of follow-up were significantly lower for DFO patients (6 months: 0·34, 12months: 0·21) as compared to all deferasirox (0·51, 0·29, P=0·0002), deferasirox switchers (0·56, 0·37, P=0·0002) and deferasirox-only (0·47, 0·24, P=0·0176) patients. Similarly, compliance to treatment was significantly lower for patients treated with DFO (mean MPR: 0·64) compared with any-deferasirox (0·78, P<0·0001), deferasirox switchers (0·75, P=0·0002) and deferasirox-only (0·80, P<0·0001) patients. Adjusted analyses of persistence and compliance yielded similar results. WHAT IS NEW AND CONCLUSIONS: Based on a Medicaid population, patients treated with deferasirox were more compliant and persistent with their treatment than those treated with DFO. Frequency of hospitalizations was significantly reduced after treatment initiation for the any-deferasirox and deferasirox-only groups. Prospective studies controlling for potential clinical and treatment pattern differences between deferasirox and DFO patients are needed to assess whether the decreased hospitalizations after initiation of deferasirox are related to better treatment compliance.
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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 | 0,000 | 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 | 0,000 | 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 ».