中国全科医学

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ePWV对癌症患者全因和心血管相关死亡率的预测价值

邱艳丽, 高永银, 卞雪艳, 王雪, 李越*   

  1. 天津医科大学肿瘤医院心肺功能科,国家恶性肿瘤临床医学研究中心,天津市恶性肿瘤临床医学研究中心,天津市肿瘤防治重点实验室
  • 收稿日期:2025-03-21 接受日期:2025-04-08
  • 通讯作者: 李越
  • 基金资助:
    天津市医学重点学科(专科)建设项目(TJYXZDXK-009A); 天津医科大学肿瘤医院院级课题(Y2207)

The Predictive Value of ePWV for All-cause and Cardiovascular-related Mortality in Cancer Patients

Qiu Yanli, Gao Yongyin, Bian Xueyan, Wang Xue, Li Yue*   

  • Received:2025-03-21 Accepted:2025-04-08
  • Contact: LI Yue
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摘要: 目的 癌症幸存者患心血管疾病(CVD)的风险高于第二恶性肿瘤。通过识别潜在的危险因素提前预防CVD的发生具有很重要的临床意义。估算的脉搏波传导速度(ePWV)可以反应动脉僵硬度的程度,是心血管事件的独立替代指标,其简单的计算方法为癌症患者的心血管风险分层提供了可行性。我们的主要目的是确定ePWV与癌症患者心血管疾病相关死亡率的关系。方法 我们使用1999年至2018年国家健康和营养检查调查(NHANES)的4862例癌症患者的数据进行了一项前瞻性队列研究,并对该队列进行了随访,包括年龄、性别、种族,体重指数、胸围、基础心率、总胆固醇、高密度脂蛋白胆固醇、收缩压、舒张压、糖尿病状态、心血管疾病史、吸烟、饮酒状态。以ePWV为变量,运用四分位数法进行分组,将全部研究对象依据该指标数值大小均分为4组,依次记为Q1、Q2、Q3和Q4组。通过森林图直观展现不同亚组间的差异;采用Kaplan-Meier方法和Cox比例风险回归模型分析ePWV与癌症患者心血管和全因死亡率之间的关联。绘制ePWV对癌症患者死亡的预测价值的受试者工作特征(ROC)曲线,计算ROC曲线下面积(AUC)。结果 在11.8年的中位随访期间,记录到830例全因死亡,572例癌症相关死亡和376例心血管疾病相关死亡。在未经调整的模型中,ePWV每增加1m/s,全因和心血管相关死亡风险分别增加33%和50%。ePWV升高与全因死亡独立相关,第1-4四分位组的风险比[95%CI]分别为1.00、1.57 (1.07, 2.30)、2.03 (1.21, 3.41)和2.34 (1.19, 4.58)。ePWV升高与心血管相关死亡也独立相关,第1-4四分位组的风险比[95%CI]分别为1.00、2.84 (1.14, 7.06)、3.75 (1.27, 11.08)和5.90 (1.62, 21.53)。ePWV与癌症患者全因和心血管相关死亡率的相关性显著,调整后的HR[95%CI]分别1.5(1.45-1.55)和1.83(1.69-1.99)。ROC曲线显示,ePWV预测癌症患者死亡风险的曲线下面积为0.753。结论 我们首次在癌症患者中验证了ePWV升高与全因死亡率和心血管相关死亡风险呈正相关,突出了在临床工作中减轻ePWV进展的重要性。

关键词: 癌症, 动脉僵硬度, 心血管疾病, 死亡率

Abstract: Objective Cancer survivors have a higher risk of cardiovascular disease (CVD) than second malignancies. It is of great clinical significance to prevent the occurrence of cardiovascular diseases in advance by identifying potential risk factors. The estimated pulse wave velocity (ePWV) can reflect the degree of arterial stiffness and is an independent alternative indicator of cardiovascular events. Its simple calculation method provides a feasibility for cardiovascular risk stratification in cancer patients. Our main aim was to determine the relationship ePWV and cardiovascular disease-related mortality in cancer patients. Methods We conducted a prospective cohort study using the data of 4862 cancer patients in the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, and followed up the cohort, including age, gender, race, body mass index, chest circumference, basic heart rate, total cholesterol, high-density lipoprotein cholesterol, systolic blood pressure, diastolic blood pressure, diabetes status, cardiovascular disease history, smoking, drinking status.With ePWV as a variable, the quartile method was used for grouping. All the subjects were divided into four groups according to the value of the index, which were recorded as Q1, Q2, Q3 and Q4 groups. The differences between different subgroups were visually displayed by forest map. Kaplan-Meier method and Cox proportional hazard regression model were used to analyze the association between ePWV and cardiovascular and all-cause mortality in cancer patients. Draw a receiver operating characteristic (ROC) curve for the predictive value of ePWV on cancer patient mortality, and calculate the area under the ROC curve (AUC). Results During the median follow-up period of 11.8 years, 830 all-cause deaths, 572 cancer-related deaths and 376 cardiovascular disease-related deaths were recorded. In the unadjusted model, for every 1m/s increase in ePWV, the risk of all-cause and cardiovascular-related death increased by 33 % and 50 %, respectively. Elevated ePWV was independently associated with all-cause mortality, with hazard ratios [95%CI] of 1.00, 1.57 (1.07, 2.30), 2.03 (1.21, 3.41) and 2.34 (1.19, 4.58) in quartiles 1-4, respectively. Elevated ePWV was also independently associated with cardiovascular-related mortality. The hazard ratios [95%CI] of the 1-4 quartiles were 1.00, 2.84 (1.14, 7.06), 3.75 (1.27, 11.08) and 5.90 (1.62, 21.53), respectively. The correlation between ePWV and all-cause and cardiovascular-related mortality in cancer patients was significant, with adjusted HR [95%CI] of 1.5 (1.45-1.55) and 1.83 (1.69-1.99), respectively. The ROC curve showed that the area under the curve of ePWV predicting the risk of death in cancer patients was 0.753. Conclusion We have validated for the first time in cancer patients that elevated ePWV is positively correlated with all-cause mortality and cardiovascular related mortality risk, highlighting the importance of mitigating ePWV progression in clinical practice.

Key words: cancer, arterial stiffness, cardiovascular disease, mortality rate