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比较血压变异性、累积血压和血压轨迹在预测普通人群心血管事件中的作用。

Comparison of BP variability, cumulative BP, and BP trajectory for predicting cardiovascular events in the general population.

机构信息

Department of Cardiology, Peking University First Hospital, Peking University, Beijing, China.

Department of Cardiology, Zhangjiakou First Hospital, Hebei, China.

出版信息

Hellenic J Cardiol. 2024 Mar-Apr;76:11-21. doi: 10.1016/j.hjc.2023.07.004. Epub 2023 Aug 1.

Abstract

OBJECTIVE

Systolic blood pressure variability (SBPV), cumulative systolic BP (cumSBP), and systolic blood pressure trajectory (trajSBP) are major indices describing characteristics of BP changes. The aim of this study was to compare their discrimination abilities for cardiovascular (CV) events.

METHODS

In 51698 subjects, associations were assessed using Cox regression in the overall cohort and Framingham risk score (FRS) stratified groups. Individuals with <10%, 10%-20%, and >20% 10-year CV risk were categorized into the low-, intermediate-, and high-risk group, respectively. Discrimination capabilities were evaluated using the area under curve (AUC), Harrell's C index, net reclassification index (NRI), and integrated discrimination index (IDI).

RESULTS

Within a mean follow-up of 6.83 ± 0.89 years, 2330 participants had CV events, and all three markers were significantly associated with CV events. TrajSBP provided the best additional discriminative value for CV events, with improvements of 1.54% in AUC%, 0.01 in Harrell's C, 37.52% in NRI%, and 0.59% in IDI%. CumSBP had good additional discriminative capability in the intermediate to high FRS groups, but the effect sizes were smaller than those of trajSBP. Although, SBPV improved the predictive capabilities in the low-to intermediate-risk groups, the effect sizes were much smaller than those of the other indices. Sensitivity analyses excluding patients who underwent antihypertensive therapy revealed similar patterns but higher effect sizes than in the overall population.

CONCLUSION

TrajSBP provides the best additional discrimination capabilities based on traditional risk profiles and may assist the risk stratification and individual prediction for future CV events.

摘要

目的

收缩压变异性(SBPV)、累积收缩压(cumSBP)和收缩压轨迹(trajSBP)是描述血压变化特征的主要指标。本研究旨在比较它们对心血管(CV)事件的鉴别能力。

方法

在 51698 名受试者中,使用 Cox 回归在总队列和弗雷明汉风险评分(FRS)分层组中评估相关性。将 10 年 CV 风险<10%、10%-20%和>20%的个体分别归类为低风险、中风险和高风险组。使用曲线下面积(AUC)、Harrell's C 指数、净重新分类指数(NRI)和综合鉴别指数(IDI)评估鉴别能力。

结果

在平均 6.83±0.89 年的随访期间,2330 名参与者发生了 CV 事件,所有三种标志物均与 CV 事件显著相关。trajSBP 为 CV 事件提供了最佳的额外鉴别价值,AUC%增加了 1.54%,Harrell's C 增加了 0.01,NRI%增加了 37.52%,IDI%增加了 0.59%。cumSBP 在中高 FRS 组具有良好的额外鉴别能力,但效果大小小于 trajSBP。尽管 SBPV 在低到中危组提高了预测能力,但效果大小远小于其他指标。排除接受降压治疗的患者的敏感性分析显示出类似的模式,但效果大小高于总体人群。

结论

trajSBP 基于传统风险谱提供了最佳的额外鉴别能力,可能有助于未来 CV 事件的风险分层和个体预测。

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