An investigation of long-term outcome of rabbit anti-thymocyte globulin and cyclosporine therapy for pediatric severe aplastic anemia.

IF 1.5 Q3 HEMATOLOGY
Lixian Chang, Mingchen Yan, Jingliao Zhang, Binghang Liu, Li Zhang, Ye Guo, Jing Sun, Yang Wan, Meihui Yi, Yang Lan, Yuli Cai, Yuanyuan Ren, Haihui Zheng, Aoli Zhang, Zhenyu Li, Jian Wang, Yingrui Li, Xiaofan Zhu
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引用次数: 0

Abstract

Children with severe aplastic anemia (SAA) face heterogeneous prognoses after immunosuppressive therapy (IST). There are few models that can predict the long-term outcomes of IST for these patients. The objective of this paper is to develop a more effective prediction model for SAA prognosis based on clinical electronic medical records from 203 children with newly diagnosed SAA. In the early stage, a novel model for long-term outcomes of SAA patients with IST was developed using machine-learning techniques. Among the indicators related to long-term efficacy, white blood cell count, lymphocyte count, absolute reticulocyte count, lymphocyte ratio in bone-marrow smears, C-reactive protein, and the level of IL-6, IL-8 and vitamin B12 in the early stage are strongly correlated with long-term efficacy (P < .05). Taken together, we analyzed the long-term outcomes of rabbit anti-thymocyte globulin and cyclosporine therapy for children with SAA through machine-learning techniques, which may shorten the observation period of therapeutic effects and reduce treatment costs and time.

Abstract Image

Abstract Image

Abstract Image

兔抗胸腺细胞球蛋白联合环孢素治疗小儿重度再生障碍性贫血的远期疗效观察。
严重再生障碍性贫血(SAA)的儿童在免疫抑制治疗(IST)后面临不同的预后。很少有模型可以预测这些患者IST的长期预后。本文旨在基于203例新发SAA患儿的临床电子病历,建立一个更有效的SAA预后预测模型。在早期阶段,使用机器学习技术开发了SAA合并IST患者长期预后的新模型。与远期疗效相关的指标中,早期白细胞计数、淋巴细胞计数、绝对网织细胞计数、骨髓涂片淋巴细胞比例、c反应蛋白、白细胞介素6、白细胞介素8、维生素B12水平与远期疗效有较强相关性(P < 0.05)。总之,我们通过机器学习技术分析了兔抗胸腺细胞球蛋白和环孢素治疗SAA儿童的长期疗效,这可能会缩短治疗效果的观察期,降低治疗成本和时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.70
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