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中国老年人随诊间收缩压变异性和全因死亡风险的关系——一项回顾性队列研究

徐家豪 吴俊 尹明娟 廖绍兵 吴亮 景文苑 唐鑫明 倪进东

徐家豪, 吴俊, 尹明娟, 廖绍兵, 吴亮, 景文苑, 唐鑫明, 倪进东. 中国老年人随诊间收缩压变异性和全因死亡风险的关系——一项回顾性队列研究[J]. 中华疾病控制杂志, 2024, 28(7): 745-752. doi: 10.16462/j.cnki.zhjbkz.2024.07.001
引用本文: 徐家豪, 吴俊, 尹明娟, 廖绍兵, 吴亮, 景文苑, 唐鑫明, 倪进东. 中国老年人随诊间收缩压变异性和全因死亡风险的关系——一项回顾性队列研究[J]. 中华疾病控制杂志, 2024, 28(7): 745-752. doi: 10.16462/j.cnki.zhjbkz.2024.07.001
XU Jiahao, WU Jun, YIN Mingjuan, LIAO Shaobing, WU Liang, JING Wenyuan, TANG Xinming, NI Jindong. Relationship between follow-up systolic blood pressure variability and the risk of all-cause mortality in Chinese elderly: a retrospective cohort study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(7): 745-752. doi: 10.16462/j.cnki.zhjbkz.2024.07.001
Citation: XU Jiahao, WU Jun, YIN Mingjuan, LIAO Shaobing, WU Liang, JING Wenyuan, TANG Xinming, NI Jindong. Relationship between follow-up systolic blood pressure variability and the risk of all-cause mortality in Chinese elderly: a retrospective cohort study[J]. CHINESE JOURNAL OF DISEASE CONTROL & PREVENTION, 2024, 28(7): 745-752. doi: 10.16462/j.cnki.zhjbkz.2024.07.001

中国老年人随诊间收缩压变异性和全因死亡风险的关系——一项回顾性队列研究

doi: 10.16462/j.cnki.zhjbkz.2024.07.001
基金项目: 

国家自然科学基金 82273709

广东省自然科学基金 2021A1515011038

广东医科大学学科建设项目 4SG23001G

湛江市科技专项 2023B01047

详细信息
    通讯作者:

    倪进东,E-mail:nijd-gw@gdmu.edu.cn

  • 中图分类号: R183.9

Relationship between follow-up systolic blood pressure variability and the risk of all-cause mortality in Chinese elderly: a retrospective cohort study

Funds: 

National Natural Science Foundation of China 82273709

Natural Science Foundation of Guangdong Province 2021A1515011038

Discipline Construction Project of Guangdong Medical University 4SG23001G

Zhanjiang City Science and Technology Special Project 2023B01047

More Information
  • 摘要:   目的  探讨中国老年人随诊间收缩压变异性(systolic blood pressure variability, SBPV)和全因死亡风险的关系。  方法  基于2008―2018年中国纵向健康长寿调查(Chinese longitudinal healthy longevity survey, CLHLS)的跟踪数据集,选取≥65岁、有连续3次收缩压(systolic blood pressure, SBP)记录且随访至2018年的老年人作为研究对象。采用Cox比例风险回归模型分析老年人随诊间SBPV与全因死亡风险的关系; 按性别、年龄亚组分析以评估随诊间SBPV的交互作用; 最后,在模型中加入限制性立方样条(restricted cubic spline, RCS)探究两者的剂量-反应关系。  结果  (1)共纳入2 582名老年人,平均年龄为78(71,86)岁,其中男性1 253人(48.5%)。在平均3.29年的随访期间,共有739例(28.6%)老年人死亡; (2)校正相关混杂因素后,随诊间SBPV与全因死亡风险之间呈正相关,差异有统计学意义(P < 0.05);(3)亚组分析显示: 性别、年龄对不同随诊间SBPV水平与全因死亡风险的关联未发现效应修饰作用(P交互作用≥0.100);(4)RCS结果显示,随诊间SBPV与全因死亡风险之间的剂量-反应关系在男性和女性中一致,全因死亡风险随随诊间SBPV增大而线性升高(P总趋势SBPV < 0.001, P非线性SBPV>0.05)。在不同年龄分组中,<70岁组的随诊间SBPV与全因死亡风险呈正线性关系,而其余年龄组两者均无剂量-反应关系(年龄 < 70岁组: P总趋势SBPV < 0.001, P非线性SBPV>0.05; 其余年龄组: P总趋势SBPV>0.05, P非线性SBPV>0.05)。  结论  中国老年人随诊间SBPV与全因死亡风险相关,其独立于随访期间平均SBP。除了检测老年人群的SBP外,还应关注其就诊以来SBP的波动情况。
  • 图  1  队列流程图

    Figure  1.  Cohort flowchart

    图  2  随诊间SBPV(SD、CV、VIM)与全因死亡风险的亚组分析结果

    HR:风险比;SD:标准差;CV:变异系数;VIM:独立于均值的变异系数;SBP:收缩压;SBPV:收缩压变异性。

    Figure  2.  Subgroup analysis results of follow-up SBPV (SD, CV, VIM) and all-cause mortality risk

    HR: hazard ratio; SD: standard deviation; CV: coefficient of variation; VIM: coefficient of variation independent of the mean; SBP: systolic blood pressure; SBPV: systolic blood pressure variability.

    图  3  老年人群随诊间SBPV(SD、CV、VIM)与全因死亡风险的剂量-反应关系

    HR:风险比;SD:标准差;CV:变异系数;VIM:独立于均值的变异系数;SBP:收缩压。

    Figure  3.  Dose-response relationship between follow-up SBPV (SD, CV, VIM) and all-cause death risk in the elderly population

    HR: hazard ratio; SD: standard deviation; CV: coefficient of variation; VIM: coefficient of variation independent of the mean; SBP: systolic blood pressure.

    图  4  男性老年人群随诊间SBPV(SD、CV、VIM)与全因死亡风险的剂量-反应关系

    HR:风险比;SD:标准差;CV:变异系数;VIM:独立于均值的变异系数;SBP:收缩压。

    Figure  4.  Dose-response relationship between follow-up SBPV (SD, CV, VIM) and all-cause death risk in male elderly population

    HR: hazard ratio; SD: standard deviation; CV: coefficient of variation; VIM: coefficient of variation independent of the mean; SBP: systolic blood pressure.

    图  5  女性老年人群随诊间SBPV(SD、CV、VIM)与全因死亡风险的剂量-反应关系

    HR:风险比;SD:标准差;CV:变异系数;VIM:独立于均值的变异系数;SBP:收缩压。

    Figure  5.  Dose-response relationship between follow-up SBPV (SD, CV, VIM) and all-cause death risk in female elderly population

    HR: hazard ratio; SD: standard deviation; CV: coefficient of variation; VIM: coefficient of variation independent of the mean; SBP: systolic blood pressure.

    图  6  < 70岁老年人群随诊间SBPV(SD、CV、VIM)与全因死亡风险的剂量-反应关系

    HR:风险比;SD:标准差;CV:变异系数;VIM:独立于均值的变异系数;SBP:收缩压。

    Figure  6.  Dose-response relationship between follow-up SBPV (SD, CV, VIM) and risk of all-cause death in elderly people < 70 years old

    HR: hazard ratio; SD: standard deviation; CV: coefficient of variation; VIM: coefficient of variation independent of the mean; SBP: systolic blood pressure.

    图  7  70~<80岁老年人群随诊间SBPV(SD、CV、VIM)与全因死亡风险的剂量-反应关系

    HR:风险比;SD:标准差;CV:变异系数;VIM:独立于均值的变异系数;SBP:收缩压。

    Figure  7.  Dose-response relationship between follow-up SBPV (SD, CV, VIM) and risk of all-cause death in the elderly aged 70- < 80

    HR: hazard ratio; SD: standard deviation; CV: coefficient of variation; VIM: coefficient of variation independent of the mean; SBP: systolic blood pressure.

    图  8  ≥80岁老年人群随诊间SBPV(SD、CV、VIM)与全因死亡风险的剂量-反应关系

    HR:风险比;SD:标准差;CV:变异系数;VIM:独立于均值的变异系数;SBP:收缩压。

    Figure  8.  Dose-response relationship between follow-up SBPV (SD, CV, VIM) and risk of all-cause death in the elderly aged 80 years and above

    HR: hazard ratio; SD: standard deviation; CV: coefficient of variation; VIM: coefficient of variation independent of the mean; SBP: systolic blood pressure.

    表  1  2 582名老年人口的基线特征

    Table  1.   Baseline characteristics of the 2 582 elderly population

    变量Variable 合计 Total (n=2 582) 死亡组 Death group (n=739) 存活组 Survival group (n=1 843) Z/$ \chi^2$值value P值value
    性别Gender 1.019 0.313
        男性Male 1 253(48.5) 371(50.2) 883(47.9)
        女性Female 1 329(51.5) 368(49.8) 960(52.1)
    年龄/岁Age/years 78(71, 86) 86(78, 92) 74(70, 82) -19.784 < 0.001
    吸烟史History of smoking 4.965×10-29 0.989
        从不吸烟Never smoke 1 996(77.3) 572(77.4) 1 425(77.3)
        曾经或至今吸烟Ever smoked or still smoked 586(22.7) 167(22.6) 418(22.7)
    饮酒史History of alcohol consumption 0.043 0.836
        从不饮酒Never drink alcohol 1 995(77.3) 566(76.6) 1 428(77.5)
        曾经或至今饮酒Previous or current alcohol consumption 587(22.7) 173(23.4) 415(22.5)
    BMI/(kg·m-2) 20.3(18.3, 22.6) 19.8(17.8, 21.8) 20.5(18.6, 22.9) 6.014 < 0.001
    基线SBP /mmHg Baseline SBP/mmHg 125.0(117.5, 131.5) 125.0(117.5, 131.5) 125.0(117.5, 131.5) 0.617 0.537
    糖尿病Diabetes 57(2.2) 12(1.6) 44(2.4) 1.112 0.292
    高血压Hypertensive 258(10.0) 55(7.4) 171(9.3) 2.002 0.157
    SBP随访均值/mmHg SBP follow-up mean value/mmHg 130.7(123.7, 138.3) 131.2(123.2, 139.0) 130.5(123.8, 138.1) -0.564 0.572
    SBP首末差值/mmHg SBP first and last differences/mmHg -11(-26, 1) -11(-26, 3) -11(-26, 0) -0.900 0.368
    SBP-SD/mmHg 12.8(7.7, 19.3) 13.7(8.6, 20.0) 12.4(7.5, 19.0) -3.060 0.002
    SBP-CV 9.9(6.1, 14.6) 10.4(6.8, 15.6) 9.6(5.9, 14.3) -3.236 0.001
    SBP-VIM 13.0(5.9, 14.3) 13.5(9.1, 19.8) 12.7(7.9, 18.5) -3.291 < 0.001
        注:SD,标准差;CV,变异系数;VIM,独立于均值的变异系数;SBP,收缩压;SBPV,收缩压变异性。
        ①以人数(占比/%)或M(P25, P75)表示。Note: SD, standard deviation; CV, coefficient of variation; VIM, coefficient of variation independent of the mean; SBP, systolic blood pressure; SBPV, systolic blood pressure variability.
        ① Number of people (proportion/%) or M(P25, P75).
    下载: 导出CSV

    表  2  老年人群随诊间SBPV(SD、CV、VIM)与全因死亡风险的关联性分析结果

    Table  2.   Correlation analysis results of follow-up SBPV (SD, CV, VIM) and all-cause death risk in the elderly population

    SBPV指标Indicators of variability 模型Model HR值value(95% CI) P值value
    SD(每增加一个单位的标准差) SD (Per 1 SD)
    模型1 Model 1 1.194(1.102~1.295) < 0.001
    模型2 Model 2 1.094(1.008~1.184) 0.033
    CV(每增加一个单位的标准差) CV (Per 1 SD)
    模型1 Model 1 1.177(1.092~1.270) < 0.001
    模型2 Model 2 1.085(1.006~1.168) 0.041
    VIM(每增加一个单位的标准差) VIM (Per 1 SD)
    模型1 Model 1 1.167(1.086~1.255) < 0.001
    模型2 Model 2 1.076(1.008~1.156) 0.040
        注:HR,风险比;SD,标准差;CV,变异系数;VIM,独立于均值的变异系数;SBPV, 收缩压变异性。
        模型1,根据平均随访SBP和SBP首末差值进行调整;模型2,HR对模型1中的变量进行了调整,对性别、年龄、吸烟史、饮酒史、BMI和是否患有高血压、糖尿病进行了额外调整。
        Note: HR, hazard ratio; SD, standard deviation; CV, coefficient of variation; VIM, coefficient of variation independent of the mean; SBPV, systolic blood pressure variability.
        Model 1, adjusted for mean follow-up SBP and first-and last-differences in SBP; Model 2, HR adjusted for variables in model 1 with additional adjustments for gender, age, history of smoking, history of alcohol consumption, BMI, and presence of hypertension and diabetes.
    下载: 导出CSV
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出版历程
  • 收稿日期:  2023-10-26
  • 修回日期:  2024-04-16
  • 网络出版日期:  2024-08-19
  • 刊出日期:  2024-07-10

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