Cai Yi-Ting, Qi Shu-Ying, Qi Shu-Yuan, Xu Rong, Zhu Hong-Yan, Zhai Guang-Yao
Department of Cardiovascular Medicine, Capital Medical University, Beijing, China.
J Geriatr Cardiol. 2024 Nov 28;21(11):1034-1046. doi: 10.26599/1671-5411.2024.11.008.
Previous studies have extensively investigated traditional predictors of cardiovascular disease (CVD) development, progression, and prognosis. However, the influence of novel indicators such as Klotho, on CVD prevalence and prognosis in the general population remains unclear.
This was an observational study that utilized cross-sectional and longitudinal methods to examine the general population in the National Health and Nutrition Examination Survey (NHANES) 2007-2016. The participants were divided into four groups according to the Klotho quartiles. Primary outcome was CVD [coronary artery disease (CAD), congestive heart failure, and stroke], secondary outcomes were all-cause mortality and cardiovascular mortality. Survey-weighted binary logistic regression analysis was used to analyze the association between Klotho and the prevalence of primary outcome, and the restricted cubic spline (RCS) curve was used to further analyze the nonlinear relationship. Subgroup analyses were conducted to investigate the association between Klotho values and CVD prevalence using survey-weighted binary logistic regression. The incidence of the secondary outcomes among four groups was assessed through Kaplan-Meier survival analysis. Additionally, the relationship between Klotho values and secondary endpoints was explored using survey-weighted Cox proportional hazards regression across various patient subpopulations.
A total of 12,146 participants (56.8 ± 10.7 years, 48.5% male) were included in our study. The total incidence of CVD was 9.9% ( = 1201), of which 4.7% ( = 574) were CAD, 3.7% ( = 454) were congestive heart failure, and 4.1% ( = 497) were stroke. Binary logistics regression analysis showed that higher Klotho quartiles were associated with the decreased prevalence of CVD [Quartile 4 . Quartile 1: odds ratio (OR) (95% CI): 0.77 (0.64-0.93), = 0.006] and congestive heart failure [Quartile 4 . Quartile 1: 0.75 (0.56-0.99), = 0.048], However, no significant associations were found between Klotho levels and the outcomes of CAD or stroke. RCS curve illustrated a high Klotho value was negatively correlated with the prevalence of CVD (nonlinear = 0.838), congestive heart failure (nonlinear = 0.110) and stroke (nonlinear = 0.972). No significant interactions were observed in any subgroups regarding the associations between Klotho and prevalence of CVD. After a median follow-up period of 93 months (range: from 1 to 160 months), there were 1228 cases (10.1%) of all-cause mortality in the general population, including 296 cases (2.4%) of cardiovascular mortality. The Kaplan-Meier curves indicated that lower Klotho levels were associated with a significant increase in all-cause mortality across the general population, CVD population, and non-CVD population. As Klotho levels decreased, there was also a notable rise in cardiovascular mortality in both the general population and the CVD population. In the overall population, Cox regression analyses demonstrated that higher Klotho values were associated with a decreased risk of both all-cause and cardiovascular mortality. And no significant interaction was observed in the CVD subgroup regarding the association between Klotho and mortality.
High Klotho level was associated with low prevalence of CVD and low risk of mortality in general population.
以往研究广泛调查了心血管疾病(CVD)发生、发展和预后的传统预测因素。然而,诸如Klotho等新指标对普通人群CVD患病率和预后的影响仍不明确。
这是一项观察性研究,采用横断面和纵向方法对2007 - 2016年美国国家健康与营养检查调查(NHANES)中的普通人群进行研究。参与者根据Klotho四分位数分为四组。主要结局为CVD[冠状动脉疾病(CAD)、充血性心力衰竭和中风],次要结局为全因死亡率和心血管死亡率。采用调查加权二元逻辑回归分析来分析Klotho与主要结局患病率之间的关联,并使用受限立方样条(RCS)曲线进一步分析非线性关系。采用调查加权二元逻辑回归进行亚组分析,以研究Klotho值与CVD患病率之间的关联。通过Kaplan - Meier生存分析评估四组中次要结局的发生率。此外,在不同患者亚组中使用调查加权Cox比例风险回归探索Klotho值与次要终点之间的关系。
我们的研究共纳入了12146名参与者(56.8±10.7岁,48.5%为男性)。CVD的总发生率为9.9%(n = 1201),其中CAD为4.7%(n = 574),充血性心力衰竭为3.7%(n = 454),中风为4.1%(n = 497)。二元逻辑回归分析显示,较高的Klotho四分位数与CVD患病率降低相关[四分位数4对比四分位数1:比值比(OR)(95%CI):0.77(0.64 - 0.93),P = 0.006]以及充血性心力衰竭患病率降低相关[四分位数4对比四分位数1:0.75(0.56 - 0.99),P = 0.048]。然而,未发现Klotho水平与CAD或中风结局之间存在显著关联。RCS曲线表明,高Klotho值与CVD患病率(非线性P = 0.838)、充血性心力衰竭患病率(非线性P = 0.110)和中风患病率(非线性P = 0.972)呈负相关。在任何亚组中,关于Klotho与CVD患病率之间的关联均未观察到显著交互作用。在中位随访期93个月(范围:1至160个月)后,普通人群中有1228例(10.1%)全因死亡病例,其中包括296例(2.4%)心血管死亡病例。Kaplan - Meier曲线表明,较低的Klotho水平与普通人群、CVD人群和非CVD人群中全因死亡率的显著增加相关。随着Klotho水平降低,普通人群和CVD人群中的心血管死亡率也显著上升。在总体人群中,Cox回归分析表明,较高的Klotho值与全因死亡率和心血管死亡率风险降低相关。并且在CVD亚组中,未观察到Klotho与死亡率之间的关联存在显著交互作用。
高Klotho水平与普通人群中CVD的低患病率和低死亡风险相关。