急性早幼粒细胞白血病患者合并弥散性血管内凝血的影响因素及列线图模型构建

Analysis of influencing factors and establish of nomogram model of disseminated intravascular coagulation in patients with acute promyelocytic leukemia

目的:探讨急性早幼粒细胞白血病(APL)合并弥散性血管内凝血(DIC)的影响因素,建立初诊APL患者发生DIC风险的预测模型,为临床诊治提供参考。方法:回顾性分析单中心179例初诊APL患者的临床资料,根据有无DIC进行分组,采用单因素及多因素回归分析,探讨APL合并DIC的影响因素,构建列线图预测模型,采用校正曲线、受试者工作特征曲线下的面积(AUC)及一致性指数(CI)评价模型的预测价值。结果:179例初诊APL患者平均年龄41.77岁,根据临床和实验室指标分为DIC组(95例,53.07%),非DIC组(84例,46.93%)。单因素分析显示:预后分层、骨髓早幼粒细胞比例、初诊时白细胞计数、中性粒细胞绝对值、凝血酶原时间、凝血酶时间、纤维蛋白原(FIB)、纤维蛋白降解产物(FDP)、D-二聚体、乳酸脱氢酶(LDH)水平在2组中比较,差异有统计学意义(均P<0.05)。多因素分析显示,初诊时FIB、FDP及LDH水平为APL合并DIC的独立影响因素(OR=0.418、1.009、1.005,P<0.05)。列线图模型预测APL合并DIC的AUC为0.845,CI为0.840,模型的校正曲线与理想曲线贴合良好。结论:初诊APL合并DIC的独立影响因素为FIB、FDP及LDH,基于上述因素构建列线图模型可以预测APL患者发生DIC的风险,可有效进行疾病的评估,具有良好的预测价值。

Objective:To investigate the clinical features and risk factors of acute promyelocytic leukemia(APL) complicated with disseminated intravascular coagulation(DIC),and to establish a predictive model for the risk of DIC in patients with newly diagnosed APL to provide reference for clinical diagnosis and treatment.Methods:Clinical data of 179 patients with newly diagnosed APL in a single center were retrospectively analyzed.All patients were grouped according to whether DIC occurred.Univariate and multivariate regression analysis were used to explore the influencing factors of APL merged DIC.We constructed a nomogram model and evaluated the predictive value of the model by using correction curve,area under the curve(AUC) of receiver operator characteristic and consistency index(CI).Results:The average age of the 179 APL patients was 41.77 years.According to clinical and laboratory indicators,95 case(53.07%) were in the DIC group and 84 cases(46.93%) were in the non-DIC group.Univariate analysis showed that the prognostic stratification,bone marrow promyelocytes percentage and the white blood cell count at initial diagnosis,absolute neutrophil count,prothrombin time,thrombin time,fibrinogen degradation products(FDP),D-Dimer,lactate dehydrogenase level(LDH) and fibrinogen(FIB) significantly different between the two groups(P<0.05).Multivariate analysis showed that FIB,FDP and LDH at the initial diagnosis were independent influencing factors for APL combined with DIC(OR= 0.418,1.009 and 1.005,P<0.05).The nomogram model predicted that the AUC of APL merged with DIC was 0.845,the CI was 0.840,and the calibration curve of the model fit well with the ideal curve.Conclusion:The independent influencing factors of initial diagnosed APL combined with DIC are FIB,FDP and LDH,based on the above factors,the nomogram model could predict the risk of DIC in APL patients,and this model can effectively evaluate the disease and has good predictive value.