Febrile Neutropenia in Lymphoma Patients Is Associated with Substantial Resource Use and Healthcare Costs in Clinical Practice in Spain.
Notice bibliographique
Résumé
Abstract Background Despite the significant impact of chemotherapy-induced febrile neutropenia (FN) on patients (pts) with cancer and its consequences for health care costs, there have been no studies in common clinical practice in Spain assessing the burden and economic impact of this complication. Methods This is a sub-analysis of lymphoma pts included in a multicentre, retrospective, chart review of adult pts from 16 Spanish hospitals who suffered from at least one FN episode related to cytotoxic chemotherapy (CT). Resource use and subsequent costs including days of hospitalization, number of transfusions, number and type of complementary tests, use of colony-stimulating factors (CSFs), and use of antibiotics and other drugs to manage FN were assessed for each episode. The impact of FN on planned CT was also analysed in terms of dose delays (DD) and/or reductions (DR). Results Medical charts from 194 pts were reviewed, 67 (34.5%) of whom had lymphoma, which accounted for 87 documented FN episodes included in this analysis. The median (range) age of patients was 62 (19–85) years, 31.7% had aggressive NHL, and 58.2% were treated with CHOP-like CT. FN appeared during first CT cycle in 61.2% of the pts. Hospitalization was required in 100% of the pts and the median length of hospital stay due to FN was 8 days (p25:6–p75:11). During an FN episode, 42% of pts required ≥1 transfusion, 100% needed a blood test and 98.9% a blood culture. Microbiologically documented infection appeared in 33% of FN episodes. All pts were treated with antibiotics (69.3% with cephalosporins) and CSFs were used in 64.8% of pts. In 40.9% of episodes, FN impacted on planned CT dose and/or schedule: DR was observed in 16.7% of pts, DD in 24.0% and CT withdrawal in 15.2%. Conclusions FN has a substantial impact on resource use and associated costs in pts with lymphoma. Hospitalization and antibiotic treatment were the main drivers of the cost associated with the management of FN in current clinical practice. Furthermore, FN has a meaningful effect on planned CT dose and/or schedule, with potential consequences for treatment outcome. Mean (SD) healthcare costs per FN episode (All cost data expressed as €) Hospitalization Transfusions Complementary Tests CSFs Antibiotics and Other Drugs Total 3,557.17 (3,050.44) 43.24 (58.59) 162.77 (135.36) 223.39(231.40) 527.67 (448.56) 4,514.24 (3,392.20)
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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 | 0,001 |
| 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 ».