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Enregistrement W4405044799 · doi:10.1182/blood-2024-202551

Clinical and Economic Outcome Analysis of First-Line Immunosuppression in Acquired Hemophilia a

2024· article· en· W4405044799 sur OpenAlexaffabout
Ellen Cusano, Julia Hews‐Girard, Mujtaba Basharat, Lindsay Cowley, Julie Grabell, Nancy Hodgson, Kelly J. Pittman, Allison Rupnaraine, Rowan Thillaye-Kerr, Brendan Cord Lethebe, Paula James, Roy Khalifé, Natasha Pardy, Chai W. Phua, Oksana Prokopchuk‐Gauk, Michelle Sholzberg, Haowei Sun, Man‐Chiu Poon, M. Dawn Goodyear

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueHemophilia Treatment and Research
Établissements canadiensUniversity of TorontoSt. John’s Health Sciences CentreUniversity of OttawaNewfoundland and Labrador Centre for Applied Health ResearchQueen's UniversityOttawa HospitalSt. Michael's HospitalWestern UniversityUniversity of AlbertaUniversity of SaskatchewanUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésImmunosuppressionMedicineIntensive care medicineInternal medicineImmunologyPediatrics

Résumé

récupéré en direct d'OpenAlex

Introduction Acquired hemophilia A (AHA) is a rare bleeding disorder in which inhibitory antibodies neutralize factor VIII (FVIII) activity leading to high morbidity and mortality from both bleeding and complications of immunosuppressive treatment (IST). Individuals with AHA are vulnerable to the adverse effects of IST as they tend to be older with multiple comorbidities. Rituximab may be less toxic than traditional IST, cyclophosphamide, but is expensive and not always accessible. Both are recommended as first-line options in high-risk patients (FVIII <1% or inhibitor >20 BU/mL) by the current international AHA treatment guidance (Tiede, Haematologica, 2020). This study compared the efficacy, safety, and economic burden of first-line IST regimens in patients with AHA in Canada. Methods This national retrospective cohort included adults >18 years old with AHA treated between January 2000 and November 2022 with at least 6 months of follow-up data available. Treatment groups were: steroid alone (A), steroid + rituximab (B), steroid + cyclophosphamide (C), and steroid + rituximab + cyclophosphamide (D). Kruskal Wallis and Chi-Square tests compared variables between groups, and Kaplan-Meier curves with log-rank tests compared time-to-event endpoints. Cost analysis used data from Canadian Blood Services, local hospitals, and provincial drug formularies. Results The study included 127 patients from 8 Hemophilia Treatment Centres; 26 in group A, 20 in B, 55 in C, 26 in D. At diagnosis, median age (71; IQR 62, 80) and Charlson Comorbidity Index (4; IQR 3, 5) did not differ between groups, but the proportion of high-risk patients did (A: 27%, B: 80%, C: 51%, D: 85%). Median time from diagnosis to last follow-up was 30.4 (IQR 14.8, 54.2) months (mo) overall, and median duration of IST was similar between groups (A and B: 2.8mo, C and D: 3.4mo). Overall, 89% of patients achieved complete remission (FVIII level >50%, negative inhibitor, and cessation of IST; CR) with no significant difference between groups (A: 88.5%, B: 85.0%, C: 89.1%, D: 92.3%), but median time to CR was longest in group D (A: 3.0mo, B: 3.1mo, C: 3.3mo, D: 4.6mo). Median time to first negative inhibitor (A: 1.5mo, B: 1.8mo, C: 1.7mo, D: 3.1mo, p<0.01), and first normal FVIII (>50%) (A: 1.4mo, B: 1.4mo, C: 1.6mo, D: 2.8mo, p<0.01) differed significantly between groups. Median time to relapse was 1.9mo (IQR 1.2, 9.3), 85% of relapses occurred within 1 year, and most were in group A (A: 42%, B: 4%, C: 31%, D: 23%, p=0.01). There was no significant difference in median overall survival between groups (11.3 years). Death from infection was 0% (A), 25% (B), 23% (C), 33% (D) and there was only 1 death from bleeding (25%, B). Of 395 total adverse events (AE), there were 113 non-infection grade 3/4 AE, 103 hospitalizations, and 55 infections. Non-infection grade 3/4 AE differed significantly between groups (A: 17.2%, B: 21.9%, C: 33.8%, D: 35.9%, p=0.01) and were driven by neutropenia and glucose intolerance. Incidence of infection was: A (14%), B (11%), C (15%), and D (15%). Incidence and duration of hospitalizations did not differ between groups. Overall, there were 261 bleeding events (124 ISTH major, 109 ISTH clinically-relevant non-major). Group D had the highest mean bleeds per patient (A: 2, B: 2, C: 1.8, D: 2.7), proportion of major bleeds (A: 47%, B: 40%, C: 45%, D: 57%), and number of bleeds requiring blood transfusion (A: 41%, B: 30%, C: 39%, D: 61%). The most costly regimen (mean per patient) was group D ($384,000) followed by C ($143,000), A ($122,000), and B ($133,000). Most of the cost was from hemostatic treatment (A: $79,490, B: $95,933, C: $113,247, D: $349,020), hospitalizations (A: $41,118, B: $24,718, C: $26,952, D: $13,875), and IST (A: $57, B: $10,725, C: $1,048, D: $16,875). Bypassing agents, rFVIIa and FEIBA, comprised 94% of the hemostatic treatment costs. Conclusion In this Canadian cohort, all IST regimens had similar overall survival and proportions of CR. Those treated with steroids and rituximab (B) had the lowest frequency of relapse, and lower incidence of infection and non-infection grade 3/4 AE than regimens containing cyclophosphamide. To our knowledge, this is the first study to evaluate the comprehensive economic burden of AHA treatment. Overall, the majority of costs were from hemostatic treatments, not from IST, and differences between regimens may be due to proportions of high risk patients and the frequency and severity of bleeding events.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,004
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,241
Score d'incertitude au seuil0,479

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,049
Tête enseignante GPT0,384
Écart entre enseignants0,335 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2024
Routes d'admission2
Résumé présentoui

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