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
Department of Pediatric Hematology, Amsterdam University Medical Centers location University of Amsterdam, Amsterdam, the Netherlands.
Department of Molecular Hematology, Sanquin Research, Amsterdam, the Netherlands.
Res Pract Thromb Haemost. 2024 Oct 3;8(7):102580. doi: 10.1016/j.rpth.2024.102580. eCollection 2024 Oct.
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 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.
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.
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.
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 mutation type. The C statistic was 0.801 (95% CI, 0.70-0.87).
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.
消除抑制物以恢复凝血因子(F)VIII疗效是重度A型血友病(HA)合并抑制物患者的治疗目标。免疫耐受诱导(ITI)要求较高,约70%的患者可获成功。迄今为止,仍难以量化ITI成功或失败的概率,这使得决定是否启动ITI变得复杂。评估ITI成功的个体概率有助于临床医生、患者及其家属支持共同决策。
我们旨在确定ITI成功的临床预测因素,并开发一种临床预测模型,以估计重度HA患者ITI成功的概率。
这项多中心研究纳入了接受ITI的重度HA患者。收集临床数据。ITI成功的定义为抑制物滴度阴性且对FVIII浓缩物有充分反应。建立了多变量逻辑回归模型。进行了模型性能评估和内部验证。
206名参与者在开始ITI时的中位年龄为19.8个月(IQR,12.1 - 38.8),其中148名(71.8%)实现了ITI成功。我们的临床预测模型包括4个ITI成功的预测因素:抑制物出现时FVIII暴露天数的累积数、抑制物峰值滴度、种族和突变类型。C统计量为0.801(95%CI,0.70 - 0.87)。
在我们纳入206名重度HA合并抑制物患者的研究中,我们开发了一种临床预测模型来估计ITI成功的概率。经过未来的外部验证后,该临床预测模型可能有助于为临床医生和患者家属提供参考。