利用机器学习技术为接受异基因造血干细胞移植的急性白血病患者建立预后模型

IF 2.1 4区医学 Q3 HEMATOLOGY

Leukemia research Pub Date : 2024-11-20 DOI:10.1016/j.leukres.2024.107619

Maedeh Rouzbahani , Seyed Amirhossein Mousavi , Ghasem Hajianfar , Ali Ghanaati , Mohammad Vaezi , Ardeshir Ghavamzadeh , Maryam Barkhordar

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引用次数: 0

摘要

背景白血病需要不断研究有效的治疗技术。本研究旨在评估机器学习（ML）模型预测异体造血干细胞移植（allo-HSCT）后急性白血病（AL）患者的OS、复发和GVHD（移植物抗宿主疾病）等关键结果的能力。方法利用1243名AL患者10年随访的临床数据开发了28个ML模型。这些模型采用了四种特征选择方法和七种 ML 算法。使用多变量分析的一致性指数（c-index）评估模型的性能。结果多变量模型分析表明，最佳FS/ML组合是：UCI_GLMN、IBMA_GLMN和IBMA_CB用于OS，UCI_ST、UCI_RSF、UCI GLMB、UCI_GB、UCI_CB、MI_GLMN、IBMA_ST和IBMA GB用于复发，IBMA_GB用于aGVHD，Boruta_GB用于cGVHD（所有P值均为0.0001，平均C指数在0.61-0.68之间）。结论ML技术与临床变量相结合，在预测AL患者的OS、复发和GVHD方面表现出很高的准确性。

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Predictive modeling of outcomes in acute leukemia patients undergoing allogeneic hematopoietic stem cell transplantation using machine learning techniques

Background

Leukemia necessitates continuous research for effective therapeutic techniques. Acute leukemia (AL) patients undergoing allogeneic hematopoietic stem cell transplantation (allo-HSCT) focus on key outcomes such as overall survival (OS), relapse, and graft-versus-host disease (GVHD).

Objective

This study aims to evaluate the capability of machine learning (ML) models in predicting OS, relapse, and GVHD in AL patients post-allo-HSCT.

Methods

Clinical data from 1243 AL patients, with 10 years of follow-up, was utilized to develop 28 ML models. These models incorporated four feature selection methods and seven ML algorithms. Model performance was assessed using the concordance index (c-index) with multivariate analysis.

Results

The multivariate model analysis showed the best FS/ML combinations were UCI_GLMN, IBMA_GLMN and IBMA_CB for OS, UCI_ST, UCI_RSF, UCI GLMB, UCI_GB, UCI_CB, MI_GLMN, IBMA_ST and IBMA GB for relapse, IBMA_GB for aGVHD and Boruta_GB for cGVHD (all p values < 0.0001, mean C-indices in 0.61–0.68)).

Conclusion

ML techniques, when combined with clinical variables, demonstrate high accuracy in predicting OS, relapse, and GVHD in AL patients.

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来源期刊

Leukemia research 医学-血液学

CiteScore

4.00

自引率

3.70%

发文量

259

审稿时长

1 months

期刊介绍： Leukemia Research an international journal which brings comprehensive and current information to all health care professionals involved in basic and applied clinical research in hematological malignancies. The editors encourage the submission of articles relevant to hematological malignancies. The Journal scope includes reporting studies of cellular and molecular biology, genetics, immunology, epidemiology, clinical evaluation, and therapy of these diseases.