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血浆醛固酮浓度轨迹与高血压患者心血管疾病风险的关系:一项队列研究。

Association of the trajectory of plasma aldosterone concentration with the risk of cardiovascular disease in patients with hypertension: a cohort study.

机构信息

Hypertension Center of People's Hospital of Xinjiang Uygur Autonomous Region, Xinjiang Hypertension Institute, NHC Key Laboratory of Hypertension Clinical Research, Key Laboratory of Xinjiang Uygur Autonomous Region "Hypertension Research Laboratory", Xinjiang Clinical Medical Research Center for Hypertension (Cardio-Cerebrovascular) Diseases, No. 91 Tianchi Road, Ürümqi, 830001, Xinjiang, China.

出版信息

Sci Rep. 2024 Feb 28;14(1):4906. doi: 10.1038/s41598-024-54971-4.

Abstract

The purpose of this study was to determine the long-term pattern of plasma aldosterone concentration (PAC) trajectories and to explore the relationship between PAC trajectory patterns and cardiovascular disease (CVD) risk in patients with hypertension. Participants were surveyed three times between 2010 and 2016, and latent mixed modeling was employed to determine the trajectory of PAC over the exposure period (2010-2016). A Cox regression analysis was used to examine the association between PAC trajectory patterns and the risk of CVD (stroke and myocardial infarction). Hazard ratios (HRs) with corresponding 95% confidence intervals (CIs) were calculated and reported. During a median follow-up of 4.10 (3.37-4.50) years, 82 incident CVD cases (33 myocardial infarction cases and 49 stroke cases) were identified. Among all three PAC models, the high-stability PAC pattern exhibited the highest risk of CVD. After full adjustment for all covariables, HRs were 2.19 (95% CI 1.59-3.01) for the moderate-stable pattern and 2.56 (95% CI 1.68-3.91) for the high-stable pattern in comparison to the low-stable pattern. Subgroup and sensitivity analyses verified this association. The presence of a high-stable PAC trajectory pattern is associated with an elevated risk of CVD in hypertensive patients. Nevertheless, more studies are warranted to confirm these findings.

摘要

本研究旨在确定血浆醛固酮浓度(PAC)轨迹的长期模式,并探讨高血压患者 PAC 轨迹模式与心血管疾病(CVD)风险之间的关系。参与者在 2010 年至 2016 年期间接受了三次调查,并采用潜在混合建模来确定暴露期间(2010-2016 年)PAC 的轨迹。使用 Cox 回归分析来检查 PAC 轨迹模式与 CVD(中风和心肌梗死)风险之间的关联。计算并报告了风险比(HRs)及其相应的 95%置信区间(CIs)。在中位数为 4.10 年(3.37-4.50 年)的随访期间,确定了 82 例新发 CVD 病例(33 例心肌梗死病例和 49 例中风病例)。在所有三种 PAC 模型中,高稳定性 PAC 模式表现出最高的 CVD 风险。在对所有协变量进行充分调整后,与低稳定性模式相比,中稳定性模式和高稳定性模式的 HRs 分别为 2.19(95%CI 1.59-3.01)和 2.56(95%CI 1.68-3.91)。亚组和敏感性分析验证了这种关联。高稳定性 PAC 轨迹模式的存在与高血压患者 CVD 风险升高相关。然而,需要更多的研究来证实这些发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82f0/10902285/d256a84cc83b/41598_2024_54971_Fig1_HTML.jpg

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