急性早幼粒细胞白血病治疗过程中凝血功能变化及影响因素分析  

Analysis of Coagulation Changes and Influencing Factors during Treatment of Acute Promyelocytic Leukemia

作　　者：陈珍珠[1] 刘涛[1] 郭贺贺 仁文文 王凯[1] 庞迎旭 CHEN Zhen-Zhu;LIU Tao;GUO He-He;REN Wen-Wen;WANG Kai;PANG Ying-Xu(Department of Hematology,Zhoukou Central Hospital,Zhoukou 466000,Henan Province,China)

机构地区：[1]周口市中心医院血液科,河南周口466000

出　　处：《中国实验血液学杂志》2025年第1期45-53,共9页Journal of Experimental Hematology

摘　　要：目的:分析急性早幼粒细胞白血病(APL)治疗过程中凝血功能的变化,并探讨APL患者凝血功能的影响因素。方法:回顾性分析本院在2018年11月至2023年5月期间收治的166例APL患者的资料,对比患者治疗前和治疗过程中各项临床指标的变化;将166例APL患者按照是否发生凝血功能异常分为凝血功能异常组(n=115)和凝血功能正常组(n=51),对比两组患者的基本资料、临床资料及实验室指标;采用多因素logistic回归分析筛选凝血功能异常的危险因素并建立logistic回归模型,建立神经网络模型并对影响因素进行重要性排序;采用受试者工作特征(ROC)曲线评估两种模型的预测效能。结果:166例APL患者治疗前和治疗过程中各临床指标对比结果显示,收缩压(SBP)、舒张压(DBP)、总胆固醇(TC)、三酰甘油(TG)、低密度脂蛋白胆固醇(LDL-C)、肾小球滤过率(eGFR)、血小板(PLT)及纤维蛋白原(FIB)在治疗过程中显著升高(P<0.05),糖化血红蛋白(HbA1c)、高密度脂蛋白胆固醇(HDL-C)、尿素氮(BUN)、肌酐(SCr)、超敏C反应蛋白(hs-CRP)、白介素-6(IL-6)、肿瘤坏死因子-α(TNF-α)、转化生长因子-β(TGF-β)、白细胞(WBC)、中性粒细胞绝对计数(ANC)、凝血酶原时间(PT)、活化部分凝血活酶时间(APTT)、D-二聚体(D-D)、纤维蛋白原降解产物(FDP)及乳酸脱氢酶(LDH)在治疗过程中显著降低(P<0.05)。凝血功能异常组中发生出血的患者及高危APL患者比例显著高于凝血功能正常组(P<0.05);凝血功能异常组患者IL-6、TNF-α、WBC、ANC、D-D、FDP及LDH显著高于凝血功能正常组(P<0.05)。将单因素分析筛选出的影响凝血功能的因素纳入到logistic回归分析和神经网络模型预测APL患者凝血功能异常的风险,ROC曲线显示两个模型的AUC分别为0.896和0.908,灵敏度分别为0.824和0.892,特异度分别为0.940和0.904,约登指数分别为0.764和0.796,准确性分别为0.882和0.898。结论:危险分层为�Objective:To analyze the changes in coagulation during the treatment of acute promyelocytic leukemia(APL) and explore the influencing factors of coagulation in patients with APL.Methods:Data of 166 APL patients admitted to our hospital from November 2018 to May 2023 were retrospectively analyzed,and the changes of various clinical indicators before and during treatment were compared.166 APL patients were divided into abnormal coagulation group(n=115) and normal coagulation group(n=51) according to whether they experienced coagulation dysfunction.The basic information,clinical data and laboratory indicators of the two groups were compared.Multivariate logistic regression analysis was used to screen risk factors for coagulation dysfunction and established logistic regression model.Then we developed a neural network model and ranked the importance of the influencing factors,and used receiver operating characteristic(ROC) curves to evaluate the predictive performance of the two models.Results:The comparative results of various clinical indicators in 166 APL patients before and during treatment showed that systolic blood pressure(SBP),diastolic blood pressure(DBP),total cholesterol(TC),triacylglycerol(TG),low-density lipoprotein cholesterol(LDL-C),estimated glomerular filtration rate(eGFR),platelet(PLT) and fibrinogen(FIB)were significantly increased during the treatment(P <0.05),while glycosylated hemoglobin(HbAlc),high density lipoprotein cholesterol(HDL-C),blood urea nitrogen(BUN),serum creatinine(SCr),high-sensitivity C reactive protein(hs-CRP),IL-6,TNF-α,TGF-β,white blood cells(WBC),absolute neutrophil count(ANC),prothrombin time(PT),activated partial thromboplastin time(APTT),D-dimer(D-D),fibrinogen degradation products(FDP)and lactate dehydrogenase(LDH) were significantly decreased during the treatment(P <0.05).The proportion of patients with hemorrhage and high-risk APL in the abnormal coagulation group was significantly higher than that in the normal coagulation group(P <0.05).The levels of IL-6,TNF-α,WBC,

关 键 词：急性早幼粒细胞白血病 凝血 LOGISTIC回归模型 神经网络模型 

分 类 号：R733.71[医药卫生—肿瘤]