Prediction of the chance of successful immune tolerance induction in persons with severe hemophilia A and inhibitors: a clinical prediction model
Oomen, Ilja; Abdi, Amal; Camelo, Ricardo M.; Callado, Fábia M.R.A.; Carvalho, Luany E.M.; Calcaterra, Ilenia L.; Carcao, Manuel; Castaman, Giancarlo; Eikenboom, Jeroen C.J.; Fischer, Kathelijn; Franco, Vivian K.B.; Heymans, Martijn W.; Leebeek, Frank W.G.; Lillicrap, David; Lorenzato, Cláudia S.; Mancuso, Maria Elisa; Matino, Davide; Di Minno, Matteo N.D.; Mohseny, Alex B.; Oldenburg, Johannes; Rezende, Suely Meireles; Rivard, Georges Etienne; Rydz, Natalia; Schols, Saskia E.M.; Voorberg, Jan; Fijnvandraat, Karin; Gouw, Samantha C.; International Genetic and clinical determinants for the outcome of immune tolerance induction study group
(2024) Research and practice in thrombosis and haemostasis, volume 8, issue 7
(Article)
Abstract
Background: Inhibitor eradication to restore factor (F)VIII efficacy is the treatment goal for persons with severe hemophilia A (HA) and inhibitors. Immune tolerance induction (ITI) is demanding and successful in about 70% of people. Until now, it has remained difficult to quantify the probability of ITI success or failure, complicating
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the decision to initiate or not initiate ITI. Estimating the individual chance of ITI success allows clinicians, patients, and their families to support shared decision-making. Objectives: We aimed to identify clinical predictors of ITI success and to develop a clinical prediction model to estimate the chance of successful ITI in persons with severe HA. Methods: This multicenter study included persons with severe HA who received ITI. Clinical data were collected. Successful ITI was defined by a negative inhibitor titer and an adequate response to FVIII concentrates. A multivariable logistic regression model was developed. Model performance and internal validation were performed. Results: Of 206 participants with a median age of 19.8 months (IQR, 12.1-38.8) at ITI start, 148 (71.8%) achieved ITI success. Our clinical prediction model included 4 predictors of ITI success: cumulative number of FVIII exposure days at inhibitor development, peak inhibitor titer, ethnicity, and F8 mutation type. The C statistic was 0.801 (95% CI, 0.70-0.87). Conclusion: In our study, including 206 people with severe HA and inhibitors, we developed a clinical prediction model to estimate the chance of successful ITI. After future external validation, this clinical prediction model may be useful for informing clinicians and families.
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Keywords: factor VIII, hemophilia A, immune tolerance, probability, treatment outcome, Hematology
ISSN: 2475-0379
Publisher: Elsevier
Note: Publisher Copyright: © 2024 The Author(s)
(Peer reviewed)