预测严重 A 型血友病患者和抑制剂成功诱导免疫耐受的几率:临床预测模型

IF 3.4 3区 医学 Q2 HEMATOLOGY
Ilja Oomen , Amal Abdi , Ricardo M. Camelo , Fábia M.R.A. Callado , Luany E.M. Carvalho , Ilenia L. Calcaterra , Manuel Carcao , Giancarlo Castaman , Jeroen C.J. Eikenboom , Kathelijn Fischer , Vivian K.B. Franco , Martijn W. Heymans , Frank W.G. Leebeek , David Lillicrap , Cláudia S. Lorenzato , Maria Elisa Mancuso , Davide Matino , Matteo N.D. Di Minno , Alex B. Mohseny , Johannes Oldenburg , Samantha C. Gouw
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引用次数: 0

摘要

背景根除抑制剂以恢复因子 (F)VIII 的疗效是严重 A 型血友病 (HA) 和抑制剂患者的治疗目标。免疫耐受诱导(ITI)要求很高,约有 70% 的患者能够成功。迄今为止,仍很难量化 ITI 成功或失败的概率,这使得是否启动 ITI 的决定变得更加复杂。我们旨在确定 ITI 成功的临床预测因素,并开发一个临床预测模型来估计重症 HA 患者 ITI 成功的几率。收集了临床数据。抑制剂滴度为阴性且对 FVIII 浓缩液有充分反应即为 ITI 成功。研究建立了一个多变量逻辑回归模型。结果 在开始 ITI 时年龄中位数为 19.8 个月(IQR,12.1-38.8)的 206 名参与者中,148 人(71.8%)获得了 ITI 成功。我们的临床预测模型包括 4 个 ITI 成功的预测因素:出现抑制剂时 FVIII 的累积暴露天数、抑制剂滴度峰值、种族和 F8 突变类型。C统计量为0.801(95% CI,0.70-0.87)。结论在我们的研究中,包括206名重症HA和抑制剂患者,我们建立了一个临床预测模型来估计ITI成功的几率。经过未来的外部验证,该临床预测模型可能有助于为临床医生和家属提供信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of the chance of successful immune tolerance induction in persons with severe hemophilia A and inhibitors: a clinical prediction model

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 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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来源期刊
CiteScore
5.60
自引率
13.00%
发文量
212
审稿时长
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