国际肿瘤学杂志 ›› 2026, Vol. 53 ›› Issue (2): 93-99.doi: 10.3760/cma.j.cn371439-20250806-00014

• 论著 • 上一篇    下一篇

血浆D-二聚体水平与恶性实体肿瘤血栓栓塞风险的关联性分析

林雪琼1, 陈艇2, 黄旭纯1, 吴文智1, 彭裕辉1()   

  1. 1汕头大学医学院附属肿瘤医院检验科,汕头 515041
    2汕头大学医学院附属肿瘤医院信息科,汕头 515041
  • 收稿日期:2025-08-06 出版日期:2026-02-08 发布日期:2026-01-29
  • 通讯作者: 彭裕辉,Email:pengyuhui666@163.com
  • 基金资助:
    广东省中医药局科研项目(20251197)

Analysis of the association between plasma D-dimer levels and thromboembolic risk in patients with malignant solid tumors

Lin Xueqiong1, Chen Ting2, Huang Xuchun1, Wu Wenzhi1, Peng Yuhui1()   

  1. 1Department of Clinical Laboratory, Cancer Hospital of Shantou University Medical College, Shantou 515041, China
    2Department of Information, Cancer Hospital of Shantou University Medical College, Shantou 515041, China
  • Received:2025-08-06 Online:2026-02-08 Published:2026-01-29
  • Contact: Peng Yuhui, Email:pengyuhui666@163.com
  • Supported by:
    Guangdong Provincial TCM Research Project(20251197)

摘要:

目的 评估血浆D-二聚体(D-D)水平对恶性实体肿瘤患者6个月内静脉血栓栓塞(VTE)的风险分层价值。方法 回顾性纳入2021年1月至2023年12月于汕头大学医学院附属肿瘤医院首次就诊、经病理确诊的11 082例恶性实体瘤患者,其中有1 222例在6个月内完成血管超声、下肢静脉超声或CT肺动脉造影(CTPA)等影像学检查,剔除95例数据缺失患者,1 127例患者依据VET诊断结果分为VTE组(n=338)和无VTE组(n=789),比较两组患者性别、年龄、肿瘤部位,D-D基线值(D-D1)及影像学检查点(前1日或当日)检测值(D-D2)的差异,采用多因素logistic回归分析评估血浆D-D水平与VTE发生的独立关联,基于多因素分析结果,采用R语言“boot”包进行Bootstrap 1 000次重抽样,每次随机抽取70%样本作为训练集构建预测模型,剩余30%作为验证集。模型构建采用logistic回归,并通过R包“nomogram”绘制列线图,构建受试者操作特征(ROC)曲线评价其诊断效能。结果 不同性别患者的D-D1水平差异有统计学意义(Z=-5.83, P<0.001),不同年龄(χ2=585.52, P<0.001; χ2=58.56, P<0.001)、肿瘤部位(χ2=1 051.12, P<0.001;χ2=227.64, P<0.001)患者的D-D1和D-D2水平差异均有统计学意义。VTE组、无VTE组患者的年龄、肿瘤部位差异均有统计学意义(t=-3.70, P<0.001;χ2=3 431.24,P<0.001),VTE组的D-D1水平和D-D2水平均显著高于无VTE组(Z=9.80, P<0.001; Z=17.12, P<0.001)。多因素分析显示,性别(女性:OR=1.87,95%CI为1.20~2.90, P=0.006)、年龄(61~70岁:OR=0.56,95%CI为0.32~0.98, P=0.042)、肿瘤部位(食管:OR=0.30,95%CI为0.14~0.67,P=0.003;胃肠:OR=0.31,95%CI为0.15~0.68,P=0.003;乳腺:OR=0.15,95%CI为0.07~0.33,P<0.001;泌尿:OR=0.33,95%CI为0.13~0.86,P=0.023)、D-D2水平[551~1 100 μg/L 纤维蛋白原当量单位(FEU)(OR=2.55,95%CI为1.31~4.99, P=0.006)、1 101~4 000 μg/L FEU(OR=9.17, 95%CI为5.06~16.61, P<0.001)、≥4 001μg/L FEU(OR=21.09, 95%CI为11.38~39.08, P<0.001)]均为恶性实体瘤患者发生VTE的独立影响因素,且VTE风险随着D-D2水平的升高而上升。基于性别、年龄、肿瘤部位、D-D2水平构建预测恶性实体瘤患者VET发生风险的多因素列线图;基于D-D2四分层构建预测恶性实体瘤患者VET发生风险的D-D2四分层列线图。ROC曲线分析显示,训练集中,多因素列线图模型预测恶性实体瘤患者发生VET的曲线下面积(AUC)为0.828(95%CI为0.798~0.858),D-D2四分层模型(以1 101~4 000 μg/L FEU作为最佳临界区间)AUC为0.811(95%CI为0.781~0.840),多因素模型的预测效能优于D-D2四分层模型(Z=3.74, P<0.001);验证集中,多因素列线图模型预测恶性实体瘤患者发生VET的AUC为0.814(95%CI为0.763~0.864),D-D2四分层模型的AUC为0.787(95%CI为0.733~0.841),差异无统计学意义(Z=1.90, P=0.057)。结论 D-D升高是恶性实体瘤患者6个月内发生VTE的独立危险因素。D-D水平≥4 001 μg/L FEU可作为启动强化血栓评估的临界值,有助于早期识别高危患者并改善预后。

关键词: D-二聚体, 肿瘤, 静脉血栓栓塞, 危险性评估, 诊断

Abstract:

Objective To evaluate the risk stratification value of plasma D-dimer (D-D) levels for venous thromboembolism (VTE) within 6 months in patients with malignant solid tumors. Methods A total of 11 082 patients with pathologically confirmed malignant solid tumors who were first treated at Cancer Hospital of Shantou University Medical College from January 2021 to December 2023 were retrospectively included, 1 222 cases among which completed imaging examinations such as vascular ultrasound, lower-limb venous ultrasound, or CT pulmonary angiography (CTPA) within 6 months. After excluding 95 cases with missing data, 1 127 patients were divided into the VTE group (n=338) and the non-VTE group (n=789) based on the VET diagnosis results. Gender, age, tumor location, baseline D-D measured at first visit (D-D1), and D-D obtained on or the day before imaging (D-D2) were compared between the two groups. Multivariate logistic regression was used to analyze the independent association between plasma D-D levels and VTE. Based on the results of the multivariate analysis, the “boot” package in R was employed to perform 1 000 Bootstrap resampling iterations. In each iteration, 70% of the samples were randomly selected as the training set for constructing the prediction model, while the remaining 30% served as the validation set. Logistic regression was adopted for model construction, and a nomogram was generated using the R package “nomogram”. The receiver operator characteristic (ROC) curve was constructed to evaluate its diagnostic efficacy. Results There was a statistically significant difference in D-D1 levels between patients of different genders (Z=-5.83, P<0.001). There were statistically significant differences in the levels of D-D1 and D-D2 in patients of different ages (χ2=585.52, P<0.001; χ2=58.56, P<0.001) and different tumor locations (χ2=1 051.12, P<0.001;χ2=227.64, P<0.001). There were statistically significant differences in age and tumor location between the VTE group and the non-VTE group (t=-3.70, P<0.001; χ2=3 431.24, P<0.001). The levels of D-D1 and D-D2 were significantly higher in the VTE group than those in the non-VTE group (Z=9.80, P<0.001; Z=17.12, P<0.001). Multivariate analysis demonstrated that gender (female:OR=1.87, 95%CI:1.20-2.90, P=0.006), age (61-70 years old:OR=0.56, 95%CI:0.32-0.98, P=0.042), tumor location (esophagus:OR=0.30, 95%CI:0.14-0.67, P=0.003; gastrointestinal tract:OR=0.31, 95%CI:0.15-0.68, P=0.003; breast:OR=0.15, 95%CI:0.07-0.33, P<0.001; urinary tract:OR=0.33, 95%CI:0.13-0.86, P=0.023), and D-D2 levels [551-1 100 μg/L fibrinogen equivalent units (FEU) (OR=2.55, 95%CI:1.31-4.99, P=0.006), 1 101-4 000 μg/L FEU (OR=9.17, 95%CI:5.06-16.61, P<0.001), and ≥4 001 μg/L FEU (OR=21.09, 95%CI:11.38-39.08, P<0.001)] were independent influencing factors for VTE in patients with malignant solid tumors. The risk of VTE increased with rising D-D2 levels. A multivariate nomogram was constructed to predict the risk of VET occurrence in patients with malignant solid tumors based on gender, age, tumor location, and D-D2 level. A D-D2 four-tier nomogram was constructed to predict the risk of VET occurrence in patients with malignant solid tumors based on the D-D2 four-tier stratification. ROC curve analysis showed that in the training set, the area under the curve (AUC) of the multivariate nomogram model for predicting VET in patients with malignant solid tumors was 0.828 (95%CI:0.798-0.858), while the AUC of the D-D2 four‑stratification model (using 1 101-4 000 μg/L FEU as the optimal cutoff interval) was 0.811 (95%CI:0.781-0.840). The predictive performance of the multivariate model was superior to that of the D-D2 four‑stratification model (Z=3.74, P<0.001). In the test set, the AUC of the multivariate nomogram model for predicting VET in patients with malignant solid tumors was 0.814 (95%CI:0.763-0.864), and that of the D-D2 four-stratification model was 0.787 (95%CI:0.733-0.841), with no statistically significant difference (Z= 1.90, P=0.057). Conclusions Elevated D-D is an independent risk factor for VTE within 6 months in malignant solid tumor patients. A threshold of ≥4 001 µg/L FEU can trigger intensive thrombotic work-up, facilitating early identification of high-risk patients and improving prognosis.

Key words: D-dimer, Neoplasms, Venous thromboembolism, Risk assessment, Diagnosis