Empirical Versus Pre-Emptive Antifungal Therapy in High-Risk Febrile Neutropenic Patients: An Economic Analysis.
Notice bibliographique
Résumé
Abstract Empirical (E) antifungal therapy (ATF) is a standard of care in neutropenic patients with persistent or recurrent fever. However, the safety and cost-effectiveness of the E strategy are challenged by the development of better diagnostic methods and more effective therapies for invasive fungal infection (IFI). An economic analysis was conducted alongside a multicenter open-label randomized non-inferiority trial showing that a pre-emptive (PE) strategy based on clinical symptoms and GM Ag did not reduce the overall survival of prolonged neutropenic patients when compared to a E strategy (details provided in abstract 551005). Objective: The objective of the study was to compare hospital costs between the PE strategy and E strategy. Patients: 293 adult patients with hematologic malignancies and an expected neutropenia (<500 PMN) of ≥ 10 days following chemotherapy were randomized between E or PE strategy with polyens. All were screened 2/w for GM Ag. E patients were given ATFs in case of persistent or recurrent fever, whatever the accompanying symptoms, while PE patients were given ATFs only in case of pneumonia, severe mucositis, septic shock, sinusitis, or skin lesions evocative of filamentous infection, aspergillus colonization, or positive GM Ag. Methods: The economic analysis was conducted from the hospital perspective (€2005). Total medication costs were computed from individual records during hospital stay. Results: Overall, mean medication costs did not differ significantly between the PE and E groups (see Table). In patients in induction phase (n=151), mean medication costs were higher in the PE group than the E group (+921€, [95%CI, −1602 to +3444]) as explained by the significantly higher proportion of IFI in the PE group (16.4% vs. 3.9%, p<0.01) and the significantly higher medication costs in case of IFI (+4224€, [95%CI, +1200 to +7244]). In patients in consolidation phase (n=51) or autologous stem cell transplant (ASCT) (n=91), mean medication costs were significantly lower in the PE group than the E group (−1224€, [95%CI, −233 to −2215]) as explained by the significantly lower proportion of patients receiving ATF in the PE group (31% vs. 50%, p<0.03). Conclusion: Cost comparison between E and PE strategy showed opposite results in induction or consolidation/ASCT phases. This finding is mainly explained by different risks of developing IFI according to the therapeutic phase. (Grants: PRC 2002 AOR02028). Table: Comparison of mean(std) medication costs, antifungal therapy costs, and proportion of IFI between PE and E groups (€2005) PE strategy E strategy p Overall (n=293) Medication costs 3595 (7444), n=143 3745 (4768), n=150 ns Antifungal therapy costs 2218 (6969), n=143 2337(4093), n=150 ns Proportion of IFI 9.1% (13/143) 2.7% (4/150) <0.02 Induction (n=151) Medication costs 5714 (9843), n=73 4793 (5330), n=78 ns Antifungal therapy costs 3974 (9360, n=73 3353 (4876), n=78 ns Proportion of IFI 16.4% (12/73) 3.9% (3/78) <0.01 Consolidation or ASCT (n=142) Medication costs 13871807, n=70 2610 (3795), n=72 <0.02 Antifungal therapy costs 386 (1367), n=70 1237 (2649), n=72 <0.02 Proportion of IFI 1.4% (1/70) 1.4% (1/72) ns
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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 | 0,009 | 0,016 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,006 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».