血小板与淋巴细胞比值升高是高血压患者全因死亡率和心血管死亡率的预测因子。

IF 2.7 3区 医学 Q2 PERIPHERAL VASCULAR DISEASE
Rui Xu, Ling Chen, Changshun Yan, Hong Xu, Guiqiu Cao
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引用次数: 0

摘要

血小板与淋巴细胞比率(PLR)被认为是一种很有前景的炎症生物标志物,对心血管预后有潜在的影响。然而,其与高血压患者死亡率的关系尚不完全清楚。本研究旨在阐明PLR与高血压患者总体死亡率和心血管死亡率之间的联系。分析了NHANES(2005-2018)中15483名高血压成年人的数据。死亡率数据,包括全因死亡和心血管死亡,来自截至2019年12月31日的国家死亡指数(NDI)。使用限制性三次样条(RCS)模型描述了PLR和死亡风险之间的联系。Cox比例风险回归模型评估了PLR与死亡风险的独立关联,并逐步进行调整:模型1不进行调整;模型2经年龄和性别调整;模型3进一步调整了年龄、性别、种族、婚姻状况、糖尿病、酒精摄入、吸烟状况、体重指数(BMI)、心血管疾病史(CVD)、高密度脂蛋白胆固醇(HDL)、低密度脂蛋白胆固醇(LDL)、总胆固醇(TC)、甘油三酯(TG)和肌酐(CR)。在中位随访79个月期间,有2820例全因死亡和758例心血管死亡。多因素Cox分析显示,PLR最高的四分位数患者的全因死亡风险显著升高(模型1:HR = 1.28, 95% CI 1.16-1.42, p
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Elevated Platelet-to-Lymphocyte Ratio as a Predictor of All-Cause and Cardiovascular Mortality in Hypertensive Individuals

Elevated Platelet-to-Lymphocyte Ratio as a Predictor of All-Cause and Cardiovascular Mortality in Hypertensive Individuals

The platelet-to-lymphocyte ratio (PLR) has been proposed as a promising inflammatory biomarker, with potential implications for cardiovascular prognosis. However, its association with mortality outcomes in hypertensive individuals is not fully elucidated. This investigation sought to clarify the linkage between PLR and both overall and cardiovascular mortality in hypertensive individuals. Data from 15 483 hypertensive adults in the NHANES (2005–2018) were analyzed. Mortality data, including all-cause and cardiovascular deaths, were sourced from the National Death Index (NDI) up to December 31, 2019. The linkage between PLR and mortality risk was depicted using restricted cubic spline (RCS) models. Cox proportional hazards regression models assessed the independent association of PLR with mortality risk, with adjustments incrementally applied: Model 1 without adjustments; Model 2 adjusted for age and sex; Model 3 adjusted further for age, gender, race, marital status, diabetes, alcohol intake, smoking status, body mass index (BMI), history of cardiovascular disease (CVD), high-density lipoprotein cholesterol (HDL), low-density lipoprotein cholesterol (LDL), total cholesterol (TC), triglyceride (TG), and creatinine (CR). Over a median follow-up of 79 months, there were 2820 all-cause deaths and 758 cardiovascular deaths. The multivariate Cox analysis showed that those in the highest PLR quartile had significantly elevated risks of all-cause mortality (Model 1: HR = 1.28, 95% CI 1.16–1.42, < 0.001; Model 2: HR = 1.14, 95% CI 1.03–1.26, p = 0.014; Model 3: HR = 1.16, 95% CI 1.05–1.29, p = 0.004)and cardiovascular mortality (Model 1: HR = 1.59, 95% CI 1.30–1.94, p < 0.001; Model 2: HR = 1.38, 95% CI 1.13–1.68, p = 0.001; Model 3: HR = 1.47, 95% CI 1.20–1.80, p < 0.001). The study reveals a U-shaped relationship between PLR and all-cause mortality, alongside a linear association with cardiovascular mortality. A PLR threshold of 118.83 has been identified as indicative of an adverse prognosis for all-cause mortality. Elevated PLR independently predicts heightened risks of both all-cause and cardiovascular mortality among hypertensive patients.

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来源期刊
Journal of Clinical Hypertension
Journal of Clinical Hypertension PERIPHERAL VASCULAR DISEASE-
CiteScore
5.80
自引率
7.10%
发文量
191
审稿时长
4-8 weeks
期刊介绍: The Journal of Clinical Hypertension is a peer-reviewed, monthly publication that serves internists, cardiologists, nephrologists, endocrinologists, hypertension specialists, primary care practitioners, pharmacists and all professionals interested in hypertension by providing objective, up-to-date information and practical recommendations on the full range of clinical aspects of hypertension. Commentaries and columns by experts in the field provide further insights into our original research articles as well as on major articles published elsewhere. Major guidelines for the management of hypertension are also an important feature of the Journal. Through its partnership with the World Hypertension League, JCH will include a new focus on hypertension and public health, including major policy issues, that features research and reviews related to disease characteristics and management at the population level.
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