Analysis of Risk Factors for Relapse of AML after Allogeneic Hematopoietic Stem Cell Transplantation and Construction of Prediction Model

目的:探讨急性髓系白血病(AML)患者接受异基因造血干细胞移植(allo-HSCT)后复发的影响因素,进而构建复发风险预测模型。方法:收集安徽医科大学第一附属医院行allo-HSCT的72例非M3型AML患者的临床资料,根据复发情况分为未复发组和复发组。通过单因素和多因素Logistic回归分析,筛选出影响移植后复发的独立危险因素,在此基础上构建并评价预测模型。结果:72例AML患者中,非复发组54例,复发组18例,多因素Logistic回归分析显示,染色体异常(P = 0.031)、移植前未缓解状态(P = 0.026)、移植后感染CMV (P = 0.032)是AML患者移植后复发的独立危险因素。构建预测模型的ROC曲线下面积为0.788 (95% CI: 0.673~0.902),校准曲线斜率接近1,H-L拟合优度检验显示χ2 = 0.446,P = 0.979,说明该模型区分度和校准度良好。结论:AML患者移植后复发的独立影响因素包括染色体异常、移植前未缓解状态及移植后感染CMV,据此构建的预测模型表现出较好的预测价值,可为临床识别高危复发患者提供重要参考。Objective: To investigate the factors influencing relapse after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with acute myeloid leukemia (AML), and establish a model to predict relapse risk. Method: The study included 72 patients with non-M3 AML who received their first allo-HSCT at the First Affiliated Hospital of Anhui Medical University. Patients were divided into a non-relapse group and a relapse group based on their post-transplantation status. Univariate and multivariate Logistic regression analysis is used to screen out the independent risk factors affecting relapse after transplantation, and establish a prediction model based on this analysis and evaluate the performance of the model prediction models. Result: Among 72 AML patients, 54 cases were in the non-relapsed group and 18 cases were in the relapsed group. Multivariate Logistic analysis showed that chromosome abnormality (P = 0.031), non-remission status prior to transplantation (P = 0.026), and CMV infection after transplantation (P = 0.032) were independent relapse risk factors. The area under the ROC curve of the constructed prediction model was 0.788 (95% CI: 0.673~0.902), the slope of the calibration curve was close to 1, and the results of H-L goodness of fit test showed χ2 = 0.446, P = 0.979, indicating that the model had good differentiation and calibration. Conclusion: The independent influencing factors of relapse after allo-HSCT in AML patients include chromosomal abnormality, non-remission state before transplantation, and CMV infection after transplantation. The prediction model constructed on this basis shows good predictive value, and can provide an important reference for identifying high-risk patients with relapse.

Authors

Publication Details

Journal
Advances in Clinical Medicine
Published
2025-01-01
DOI
https://doi.org/10.12677/acm.2025.1561823
Primary Topic
Acute Myeloid Leukemia Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Risk Factors for Relapse of AML after Allogeneic Hematopoietic Stem Cell Transplantation and Construction of Prediction Model

梦如 吴
Advances in Clinical Medicine
Acute Myeloid Leukemia Research
article

Analysis of Risk Factors for Relapse of AML after Allogeneic Hematopoietic Stem Cell Transplantation and Construction of Prediction Model

梦如 吴
article en

Abstract

目的:探讨急性髓系白血病(AML)患者接受异基因造血干细胞移植(allo-HSCT)后复发的影响因素,进而构建复发风险预测模型。方法:收集安徽医科大学第一附属医院行allo-HSCT的72例非M3型AML患者的临床资料,根据复发情况分为未复发组和复发组。通过单因素和多因素Logistic回归分析,筛选出影响移植后复发的独立危险因素,在此基础上构建并评价预测模型。结果:72例AML患者中,非复发组54例,复发组18例,多因素Logistic回归分析显示,染色体异常(P = 0.031)、移植前未缓解状态(P = 0.026)、移植后感染CMV (P = 0.032)是AML患者移植后复发的独立危险因素。构建预测模型的ROC曲线下面积为0.788 (95% CI: 0.673~0.902),校准曲线斜率接近1,H-L拟合优度检验显示χ2 = 0.446,P = 0.979,说明该模型区分度和校准度良好。结论:AML患者移植后复发的独立影响因素包括染色体异常、移植前未缓解状态及移植后感染CMV,据此构建的预测模型表现出较好的预测价值,可为临床识别高危复发患者提供重要参考。Objective: To investigate the factors influencing relapse after allogeneic hematopoietic stem cell transplantation (allo-HSCT) in patients with acute myeloid leukemia (AML), and establish a model to predict relapse risk. Method: The study included 72 patients with non-M3 AML who received their first allo-HSCT at the First Affiliated Hospital of Anhui Medical University. Patients were divided into a non-relapse group and a relapse group based on their post-transplantation status. Univariate and multivariate Logistic regression analysis is used to screen out the independent risk factors affecting relapse after transplantation, and establish a prediction model based on this analysis and evaluate the performance of the model prediction models. Result: Among 72 AML patients, 54 cases were in the non-relapsed group and 18 cases were in the relapsed group. Multivariate Logistic analysis showed that chromosome abnormality (P = 0.031), non-remission status prior to transplantation (P = 0.026), and CMV infection after transplantation (P = 0.032) were independent relapse risk factors. The area under the ROC curve of the constructed prediction model was 0.788 (95% CI: 0.673~0.902), the slope of the calibration curve was close to 1, and the results of H-L goodness of fit test showed χ2 = 0.446, P = 0.979, indicating that the model had good differentiation and calibration. Conclusion: The independent influencing factors of relapse after allo-HSCT in AML patients include chromosomal abnormality, non-remission state before transplantation, and CMV infection after transplantation. The prediction model constructed on this basis shows good predictive value, and can provide an important reference for identifying high-risk patients with relapse.

Advances in Clinical MedicineVol. 15(06)
Zero hunger
Openalex Percentile: Top 82%
Acute Myeloid Leukemia Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.