[Analysis of Influencing Factors and Establishment of Nomogram Model of Differentiation Syndrome in Patients with Acute Promyelocytic Leukemia].

Q4 Medicine
Yi-Fan Yao, Li-Xia Hao, Lin-Hua Yang
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引用次数: 0

Abstract

Objective: To investigate the influencing factors of differentiation syndrome (DS) during induction chemotherapy for acute promyelocytic leukemia (APL), and establish a prediction model for DS in newly diagnosed APL patients, in order to guide clinical treatment.

Methods: The clinical data of 324 newly diagnosed APL patients were retrospectively analyzed, and the patients were divided into DS group and non-DS group according to whether or not DS was present. Statistically significant factors from comparison of the two groups were selected and included in univariate and multivariate logistic regression to explore the influencing factors of DS in APL. R software was used to build the nomogram model, Bootstrap method was used for internal verification, and concordance index (C-index) and calibration curve were used to evaluate the accuracy of the model.

Results: The incidence of DS in 324 patients with newly diagnosed APL was 30.86% (100/324). Univariate logistic regression analysis showed that high risk, delayed retinoic acid, no hormonal prophylaxis, combined with disseminated intravascular coagulation, increased white blood cell count (WBC) at initial diagnosis and neutrophil count, prothrombin prolongation, decreased fibrinogen and albumin (ALB), increased proportion of bone marrow original cells, increased proportion of peripheral blood original cells, and increased peak of WBC after chemotherapy were risk factors for DS in newly diagnosed APL patients (all P < 0.01). Multivariate logistic regression analysis showed that the increased peak value of WBC after chemotherapy, prophylactic use of hormone, and ALB level were independent factors influencing the occurrence of DS in newly diagnosed APL patients (all P < 0.01). The C-index of DS in APL predicted by the nomogram model was 0.847(95%CI : 0.786-0.908). The calibration curve showed that the nomogram was in good agreement with the actual incidence of DS.

Conclusion: The independent influencing factors of DS in newly diagnosed APL are the increased peak value of WBC after chemotherapy, ALB and prophylactic use of hormone. The nomogram model based on the above factors can predict the risk of DS in APL patients, which is consistent with clinical observation.

[急性早幼粒细胞白血病患者辨证候影响因素分析及Nomogram Model的建立]。
目的:探讨急性早幼粒细胞白血病(APL)诱导化疗中分化证(DS)的影响因素,建立新诊断APL患者分化证(DS)预测模型,以指导临床治疗。方法:回顾性分析324例新诊断APL患者的临床资料,根据是否出现DS分为DS组和非DS组。选取两组比较有统计学意义的因素,进行单因素和多因素logistic回归,探讨APL患者DS的影响因素。采用R软件构建nomogram模型,采用Bootstrap方法进行内部验证,并采用一致性指数(C-index)和校准曲线来评价模型的准确性。结果:324例新诊断APL患者DS发生率为30.86%(100/324)。单因素logistic回归分析显示,高风险、视黄酸延迟、无激素预防、合并弥散性血管内凝血、初诊时白细胞计数(WBC)和中性粒细胞计数升高、凝血酶原延长、纤维蛋白原和白蛋白(ALB)降低、骨髓原始细胞比例升高、外周血原始细胞比例升高、化疗后白细胞峰值升高是新诊断APL患者发生DS的危险因素(均P < 0.01)。多因素logistic回归分析显示,化疗后白细胞峰值升高、激素预防使用、ALB水平是影响新诊断APL患者DS发生的独立因素(均P < 0.01)。模型预测APL患者DS的c指数为0.847(95%CI: 0.786 ~ 0.908)。标定曲线显示,该图与实际DS发生率吻合较好。结论:化疗后白细胞峰值升高、白蛋白和预防使用激素是新诊断APL患者DS的独立影响因素。基于上述因素的nomogram模型能够预测APL患者发生DS的风险,与临床观察结果一致。
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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来源期刊
中国实验血液学杂志
中国实验血液学杂志 Medicine-Medicine (all)
CiteScore
0.40
自引率
0.00%
发文量
7331
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