Long-term outcomes with emicizumab prophylaxis in patients with hemophilia a in China

Abstract Introduction: Emicizumab, a bispecific monoclonal antibody that bridges activated factor IX and factor X, has emerged as an effective prophylactic treatment for patients with hemophilia A (PwHAs). However, real-world responses are heterogeneous, long-term data remain limited, and the determinants of long-term efficacy are unclear. Methods: Data from 132 pediatric and adult PwHAs with/without factor VIII (FVIII) inhibitors who received emicizumab prophylaxis for more than one year from 25 centers in China were pooled to establish a long-term efficacy and safety profile. Annualized bleed rate (ABR) and Annualized joint bleed rate (AJBR) were estimated using the negative binomial regression model. Machine learning models—including the Feature Tokenizer Transformer, random forest, XGBoost, LightGBM, ResNet, and CatBoost—were applied to predict post-emicizumab ABR. Results: A total of 132 patients were enrolled in our study. All patients were followed up for a median of 26.0 months (interquartile range [IQR], 16.0–40.0). Across a median efficacy period of 25.5 months (IQR, 16.0–40.0; data cutoff: May 25, 2025), the model-based ABR (for all bleeds) and treated ABR were 0.81 (95% confidence interval [CI], 0.62–1.07) and 0.30 (0.21-0.42), respectively. ABR declined compared to baseline and then stabilized at <1 in analyses based on 12-month treatment intervals. During months 1 to 12 (n=132), 62.9% of participants had 0 bleeds, 82.6% had no treated bleeds, 90.9% reported no joint bleeds, and 94.7% reported no treated joint bleeds. To determine the factors associated with long-term efficacy, we applied machine learning models. Among them, the Feature Tokenizer Transformer model yielded the best performance (AUC=0.905±0.012). Feature importance was ranked by mean absolute SHapley Additive exPlanations (SHAP) values. The top three predictors of post-emicizumab ABR > 1 were: historical inhibitor status, whether standard loading dose (3 mg/kg for 4 weeks) was administered, and baseline ABR. Injection site reactions were reported in 10 out of 132 patients (7.6%). No deaths, thromboembolic events, or thrombotic microangiopathies were reported during the study period. Conclusions: In this multicenter real-world study, we indicated that emicizumab prophylaxis maintained low bleeding rates in PwHAs of all ages and remains well tolerated. Historical inhibitor status, whether standard loading dose was administered, and baseline ABR were the most informative variables for predicting post-emicizumab ABR > 1.

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Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-1287
Primary Topic
Hemophilia Treatment and Research
Type
article
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article

Long-term outcomes with emicizumab prophylaxis in patients with hemophilia a in China

Jie Yin, Bingshou Xie, Ailing Xue, Shen He et al.
Blood
Hemophilia Treatment and Research
article

Long-term outcomes with emicizumab prophylaxis in patients with hemophilia a in China

Jie Yin, Bingshou Xie, Ailing Xue, Shen He, Zeping Zhou, Hua Zhou, Mingwei Jin, Feng Xue, Shaohua Le, Meijuan Huang, Jing Ling, Xiaojing Li, Zhou Li, Yuan Xu, Hongbo Cheng, Jie Peng, Lei Zhang, Mei Sun, Ying Wang, Yanli Cheng, Hong Han, Fuhua Zhang, Weiguo Zhu, Liya He, Weiqun Xu, Renchi Yang, Jiao Jin, Yujing Zhang, Ningling Wang, Can Gai
article en

Abstract

Abstract Introduction: Emicizumab, a bispecific monoclonal antibody that bridges activated factor IX and factor X, has emerged as an effective prophylactic treatment for patients with hemophilia A (PwHAs). However, real-world responses are heterogeneous, long-term data remain limited, and the determinants of long-term efficacy are unclear. Methods: Data from 132 pediatric and adult PwHAs with/without factor VIII (FVIII) inhibitors who received emicizumab prophylaxis for more than one year from 25 centers in China were pooled to establish a long-term efficacy and safety profile. Annualized bleed rate (ABR) and Annualized joint bleed rate (AJBR) were estimated using the negative binomial regression model. Machine learning models—including the Feature Tokenizer Transformer, random forest, XGBoost, LightGBM, ResNet, and CatBoost—were applied to predict post-emicizumab ABR. Results: A total of 132 patients were enrolled in our study. All patients were followed up for a median of 26.0 months (interquartile range [IQR], 16.0–40.0). Across a median efficacy period of 25.5 months (IQR, 16.0–40.0; data cutoff: May 25, 2025), the model-based ABR (for all bleeds) and treated ABR were 0.81 (95% confidence interval [CI], 0.62–1.07) and 0.30 (0.21-0.42), respectively. ABR declined compared to baseline and then stabilized at <1 in analyses based on 12-month treatment intervals. During months 1 to 12 (n=132), 62.9% of participants had 0 bleeds, 82.6% had no treated bleeds, 90.9% reported no joint bleeds, and 94.7% reported no treated joint bleeds. To determine the factors associated with long-term efficacy, we applied machine learning models. Among them, the Feature Tokenizer Transformer model yielded the best performance (AUC=0.905±0.012). Feature importance was ranked by mean absolute SHapley Additive exPlanations (SHAP) values. The top three predictors of post-emicizumab ABR > 1 were: historical inhibitor status, whether standard loading dose (3 mg/kg for 4 weeks) was administered, and baseline ABR. Injection site reactions were reported in 10 out of 132 patients (7.6%). No deaths, thromboembolic events, or thrombotic microangiopathies were reported during the study period. Conclusions: In this multicenter real-world study, we indicated that emicizumab prophylaxis maintained low bleeding rates in PwHAs of all ages and remains well tolerated. Historical inhibitor status, whether standard loading dose was administered, and baseline ABR were the most informative variables for predicting post-emicizumab ABR > 1.

BloodVol. 146(Supplement 1)
Jiangsu University (CN), Fujian Medical University (CN), Central South University (CN), Guiyang Medical University (CN), Harbin Medical University (CN), Anhui Medical University (CN), Kunming Medical University (CN), Wenzhou Medical University (CN), Shaoguan University (CN), Soochow University (CN), Chengdu Women's and Children's Central Hospital (CN), Huaian First People’s Hospital (CN), Kaifeng University (CN), Xuzhou Cancer Hospital (CN), Guangzhou Women and Children Medical Center (CN), Jiangxi Provincial People's Hospital (CN), Affiliated Hospital of Guizhou Medical University (CN), Children's Hospital of Zhejiang University (CN), Zhejiang Hospital (CN), Fourth Affiliated Hospital of Harbin Medical University (CN), Shaoguan Railway Hospital (CN), Institute of Hematology & Blood Diseases Hospital (CN), Second Affiliated Hospital of Anhui Medical University (CN), Central Hospital of Zibo (CN), Wenzhou City People's Hospital (CN), Shenzhen Children's Hospital (CN), First Affiliated Hospital of Soochow University (CN), Dongyang People's Hospital (CN), Xiangya Hospital Central South University (CN), Hangzhou Children's Hospital (CN), Union Hospital (CN), Shanxi Cardiovascular Hospital (CN), Dezhou University (CN), Huazhong University of Science and Technology (CN), Guangzhou Medical University (CN)
Openalex Percentile: Top 43%
Hemophilia Treatment and Research
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