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Enregistrement W4310096221 · doi:10.1182/blood-2022-171028

Incidence of Inhibitors in Previously Untreated Patients with Severe Hemophilia a Treated with Plasma-Derived Vs. Recombinant Factor VIII Concentrates: A Systematic Review and Meta-Analyses

2022· review· en· W4310096221 sur OpenAlexaboutno aff
A. Prezotti, Paula Ribeiro Villaça, Debora M C Rocha, Maria P S V Orletti, Christiane Boaventura Lourenço, Gabriela G Yamaguti-Hayakawa, Margareth C. Ozelo

Notice bibliographique

RevueBlood · 2022
Typereview
Langueen
DomaineMedicine
ThématiqueHemophilia Treatment and Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineCochrane LibraryIncidence (geometry)Meta-analysisMEDLINEObservational studyInternal medicineCohortPediatrics

Résumé

récupéré en direct d'OpenAlex

Introduction: The most important treatment complication of hemophilia A is the development of neutralizing antibodies anti-factor VIII (inhibitors). Among the non-genetic risk factors for inhibitors development, the influence of the type of factor concentrate used in replacement therapy remains controversial. Objective: The aim of this study was to systematically review the incidence of inhibitor development after treatment with recombinant factor FVIII (rFVIII) compared with plasma factor FVIII (pdFVIII) in previously untreated patients (PUPs) with severe hemophilia A. Methods: A computer-assisted search of MEDLINE, Cochrane Library, EMBASE, Scopus, Google Scholar and Web of Science, without language restriction, between January 2010 and May 2022, was conducted using different combinations keywords. Other publications were selected from presentations from the largest conferences in the area, to identify relevant studies not detected in the electronic search. Additional studies were identified by contacting experienced researchers in the field and searching the reference list of primary studies. The articles were analyzed by two independent reviewers using pre-established eligibility criteria and in case of disagreement, a third independent reviewer was responsible for the final decision. To avoid double counting of the same cohort of patients, study periods were observed, and patients in duplicates were excluded. Data extraction form was made using the RedCap Platform. If some study data were missing or incomplete, an email was sent to the corresponding author to obtain the information. Quality assessment was performed on all included studies using The Newcastle-Ottawa Scale for Observational Cohort and Case Control Studies (NOS) and The Cochrane RoB 2.0 scale. Results: Of the 974 potentially relevant publications initially selected, 34 were included in the final analysis, published between January 2010 to May 2022. Data from 4,244 patients enrolled in these studies were included in this analysis. Of these, 1,047 received pdFVIII, and 3,324 received rFVIII. The total number of patients who developed inhibitors was 1,136, of which 204 (19.5%) were treated with pdFVIII and 929 (28.8%) with rFVIII. High-titer inhibitors were found in 730/4,271 (17.1%) patients, 144/1,047 (13.8%) for pdFVIII and 585/3,224 (18.1%) for rFVIII. The pooled analysis of all studies showed inhibitor incidence rate of 17% for pdFVIII vs. 28% for rFVIII. Regarding high-titer inhibitors, the pooled incidence rate was 11% for pdFVIII studies compared to 17% for rFVIII (figure 1). Analyzing the different generations of rFVIII, it was observed the inhibitor incidence rate of 19% for first-generation rFVIII, 31% for the second-generation, 26% for third-generation and 27% for fourth-generation. Considering only the pooled incidence rate of high-titer inhibitors, it was observed 15%, 23%, 15% and 16 %, respectively. The inhibitor incidence rate in patients who received extended half-life (EHL) rFVIII was 28%, with 14% of high-titer inhibitor. Comparing pdFVIII concentrates to standard rFVIII, there was a statistically significant difference (p = 0.004). Regarding the two EHL-rFVIII concentrates with data available in the literature on PUPs (rFVIII-Fc [Elocta®] and N8-PEG [Esperoct®]) it was demonstrated also a statistical difference in inhibitor development compared to pdFVIII (p = 0.003). However, when compared inhibitor incidence rate of third-generation rFVIII and EHL-rFVIII, no statistical difference was observed. Nevertheless, the incidence rate of high-titer inhibitors among patients using pdFVIII and rFVIII, was statistically different only with second-generation rFVIII concentrates (p = 0.001). Conclusions: In our systematic review and meta-analysis, which included 34 studies, an increase in the incidence of inhibitors was demonstrated in patients who used rFVIII when compared to pdFVIII. However, when analyzing only high-titer inhibitors, there was statistical difference only with second-generation rFVIII, which are not commonly used nowadays. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0,013
score de la tête « metaresearch » (Gemma)0,038
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens large)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Méta-analyse · Signal consensuel: aucune
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,980
Score d'incertitude au seuil0,067

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0130,038
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0200,031
Bibliométrie0,0080,009
Études des sciences et des technologies0,0010,001
Communication savante0,0030,002
Science ouverte0,0020,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,075
Tête enseignante GPT0,335
Écart entre enseignants0,259 · 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.

Devis d'étudeMéta-analyse
Domainenon disponible
GenreSynthèse

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

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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