Healthcare resource utilization with prophylactic intravenous anakinra following anti-CD19 CAR-T therapy in B-cell lymphoma: A Canadian single-center quality improvement experience.
Notice bibliographique
Résumé
Abstract Introduction: Chimeric antigen receptor T-cell (CAR-T) therapy has transformed B-cell lymphomas treatment. Its use is complicated by cytokine release syndrome (CRS) and immune effector-cell associated neurotoxicity syndrome (ICANS) resulting in heightened healthcare resource utilization through increased patient morbidity, hospitalization, and intensive care unit (ICU) transfers. The prevention of CRS and ICANS is the goal to facilitate improved patient safety and efficient resource allocation following CAR-T. In April 2024, our institution adopted a quality improvement (QI) initiative utilizing primary prophylactic anakinra 100 mg administered intravenously (IV) daily for 7 days starting on the day of infusion to mitigate CRS and ICANS. Through emerging evidence, we hypothesized prophylactic anakinra may reduce CRS and ICANS without compromising CAR-T efficacy. However, this practice of prophylactic anakinra remains off-label and its impact on our patient population remains unknown. Methods: This observational, single-center retrospective cohort QI analysis evaluated consecutive B-cell lymphoma patients treated with axicabtagene ciloleucel (axi-cel) or brexucabtagene autoleucel (brexu-cel) anti-CD19 CAR-T therapy the year before (March 1, 2023 to March 31, 2024) and the year after (April 1, 2024 to April 30, 2025) the implementation of anakinra prophylaxis. Outcome measures included incidence and severity of CRS and ICANS, ICU admissions, medications for CRS and ICANS, infection rates, hematologic toxicities, and supportive care resource utilization. The objective is to evaluate the clinical and resource impact of our prophylactic anakinra QI strategy. Results: A total of 20 patients without anakinra prophylaxis (median age 62 years; axi-cel, n=16; brexu-cel, n=4; large B-cell lymphoma (LBCL), 80%) and 25 patients with anakinra prophylaxis (median age 62 years; axi-cel, n=23; brexu-cel, n=2; LBCL, 72%) were analyzed. Severe (grade ≥3) CRS was absent in both groups; severe (grade ≥3) ICANS occurred in 20% without prophylaxis and 0% with prophylaxis. All-grade ICANS was reduced from 65% to 40% with prophylaxis. ICU admission occurred in 15% (n=3), exclusively in the non-prophylaxis group for severe ICANS. Treatment anakinra (i.e., 100 mg IV every 6 hours) was required in 60% patients without prophylaxis (median 31 [interquartile range (IQR) 20-39] doses) and 88% patients with prophylaxis (median 25 [IQR 20-36] doses). Tocilizumab use was decreased from 65% to 32% with anakinra prophylaxis, both groups requiring a median of 1 dose. Dexamethasone use was decreased from 100% in non-prophylaxis to 88% in prophylaxis group, with a median total cumulative dose of 115 (IQR 68-265) and 95 (IQR 45-173) mg, respectively. Infection rates were lower with prophylaxis from 70% to 40%. Day 30 incidences of anemia (grade ≥2) were 50% and 25%; neutropenia (grade ≥3) were 25% and 8%; and thrombocytopenia (grade ≥2) were 65% and 40% in non-prophylaxis and prophylaxis groups, respectively. At day 30, ongoing blood transfusions were required in 20% (n=4) and 8% (n=2); and ongoing granulocyte-colony stimulating factor use were required in 65% (n=13) and 36% (n=8) in non-prophylaxis and prophylaxis groups, respectively. Day 90 overall disease response rates were comparable between groups. Accounting for all CRS and ICANS medication expenses, the addition of prophylactic anakinra was estimated to increase drug costs by $171 (Canadian dollars) per patient. Conclusions: This QI initiative suggests prophylactic anakinra enhances patient safety by reducing severe ICANS and treatment-related toxicities, while improving healthcare efficiency through fewer ICU admissions and decreased reliance on high-cost therapies such as tocilizumab. Although introducing prophylactic anakinra adds a modest upfront medication cost, these expenses may be offset by downstream savings from decreased healthcare resource utilization. By mitigating severe toxicities and lowering the need for emergent interventions, anakinra prophylaxis may facilitate safer transitions to outpatient CAR-T therapy delivery. Given its favorable safety profile and minimal cost impact, prophylactic anakinra represents a scalable, cost-effective approach that could support the broader implementation of outpatient CAR-T therapy delivery models. Prospective validation is warranted to confirm these findings, to identify ideal dosing and evaluate their applicability across health systems.
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 | 0,004 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».