Development and validation of a nomogram model for predicting the risk of venous thromboembolism in lymphoma patients undergoing chemotherapy: a prospective cohort study conducted in China

作者全名："Liang, Guanzhong; Li, Xiaosheng; Xu, Qianjie; Yang, Zailin; Li, Jieping; Yang, Tao; Wang, Guixue; Lei, Haike"

作者地址："[Liang, Guanzhong; Li, Xiaosheng; Yang, Zailin; Li, Jieping; Yang, Tao; Lei, Haike] Chongqing Univ Canc Hosp, Chongqing Canc Multiom Big Data Applicat Engn Res, Chongqing, Peoples R China; [Xu, Qianjie] Chongqing Med Univ, Sch Publ Hlth, Dept Hlth Stat, Chongqing, Peoples R China; [Wang, Guixue] Chongqing Univ, Coll Bioengn, State & Local Joint Engn Lab Vasc Implants, MOE Key Lab Biorheol Sci & Technol, Chongqing, Peoples R China"

通信作者："Lei, HK (通讯作者)，Chongqing Univ Canc Hosp, Chongqing Canc Multiom Big Data Applicat Engn Res, Chongqing, Peoples R China."

来源：ANNALS OF MEDICINE

ESI学科分类：CLINICAL MEDICINE

WOS号：WOS:001129055500001

JCR分区：Q1

影响因子：4.9

年份：2023

卷号：55

期号：2

开始页：　

结束页：　

文献类型：Article

关键词：Venous thromboembolism; nomogram; lymphoma; predict

摘要："BackgroundThe mechanism of Venous thromboembolism (VTE) is complicated and difficult to prevent due to factors such as bone marrow invasion, therapy, and immune-mediated effects. This study aims to establish a nomogram model for predicting the risk of thrombosis in lymphoma patients undergoing chemotherapy, which has been increasing over the past 30 years.MethodsThe data of lymphoma patients from the Affiliated Cancer Hospital of Chongqing University in China between 2018 and 2020 were analyzed. This included age, sex, body mass index, ECOG score, histological type, Ann Arbour Stage, white blood cells count, haemoglobin level, platelet count, D-dimer level, and chemotherapy cycle. Univariate and multivariate cox analysis was used to determine the risk factors for VTE. Characteristic variables were selected to construct a nomogram model which was then evaluated using ROC curve and calibration.ResultsAge, sex, PLT, D-dimer and chemotherapy cycle were considered as independent influencing factors of VTE. The mean (standard deviation) of the C index, AUC and Royston D statistics of 1000 cross-validations of the Nomogram model were 0.78 (0.01), 0.81 (0.01) and 1.61(0.07), respectively. It indicates a good calibration degree and applicability value as shown by the calibration curve. The DCA curve showed a rough threshold range of 0.05-0.60 with a good model.ConclusionsWe have established and validated a nomogram model for predicting the risk of thrombosis in lymphoma patients. This model can assess the risk of thrombosis in each individual patient, enabling the identification of high-risk groups and targeted preventive treatment."

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