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评估社区老年人群心血管生物标志物浓度的时间变化可改善风险预测。

Evaluation of Temporal Changes in Cardiovascular Biomarker Concentrations Improves Risk Prediction in an Elderly Population from the Community.

机构信息

Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden;

Department of Medical Sciences and Uppsala Clinical Research Center, Uppsala University, Uppsala, Sweden; Division of Molecular and Translational Cardiology, Department of Cardiology and Angiology, Hannover Medical School, Hannover, Germany.

出版信息

Clin Chem. 2016 Mar;62(3):485-93. doi: 10.1373/clinchem.2015.246876. Epub 2016 Jan 14.

Abstract

BACKGROUND

There is increasing interest in measurements of cardiovascular (CV) biomarker concentrations for risk prediction in the general population. We investigated the prognostic utility of a panel of novel CV biomarkers including biomarker changes over time.

METHODS

We measured concentrations of N-terminal pro-B-type natriuretic peptide (NT-proBNP), midregional proadrenomedullin, high-sensitivity cardiac troponin I, growth-differentiation factor-15 (GDF-15), soluble ST2 (sST2), and galectin-3 at baseline and 5 years later in 1016 elderly individuals participating in the Prospective Investigation of the Vasculature in Uppsala Seniors (PIVUS) study. Assessed outcomes included all-cause mortality and fatal and nonfatal CV events (in participants without CV disease at baseline) during 10 years of follow-up.

RESULTS

GDF-15 exhibited the strongest association with all-cause mortality (n = 158) with a hazard ratio (HR) per 1-SD increase in standardized ln GDF-15 of 1.68 (95% CI, 1.44-1.96). NT-proBNP was the only biomarker to predict CV events (n = 163; HR 1.54 [95% CI, 1.30-1.84]). GDF-15 and NT-proBNP also improved metrics of discrimination and reclassification of the respective outcomes. Changes in GDF-15 concentrations between 70 and 75 years predicted all-cause mortality whereas changes in NT-proBNP predicted both outcomes. The other biomarkers and their temporal changes provided only moderate prognostic value apart from sST2 which had a neutral relationship with adverse events.

CONCLUSIONS

Evaluation of temporal changes in GDF-15 and NT-proBNP concentrations improves risk prediction in an elderly population. These findings are of considerable interest given the emphasis on biomarkers as tools to identify and monitor at-risk individuals with preclinical and potentially modifiable stages of CV disease.

摘要

背景

人们对心血管(CV)生物标志物浓度的测量越来越感兴趣,以便在普通人群中进行风险预测。我们研究了包括随时间变化的生物标志物变化在内的一组新型 CV 生物标志物的预后效用。

方法

我们在 Prospective Investigation of the Vasculature in Uppsala Seniors(PIVUS)研究中测量了 1016 名参与研究的老年人基线时和 5 年后的 N 末端脑利钠肽前体(NT-proBNP)、中区域前肾上腺髓质素、高敏心肌肌钙蛋白 I、生长分化因子 15(GDF-15)、可溶性 ST2(sST2)和半乳糖凝集素 3 的浓度。评估的结果包括 10 年随访期间的全因死亡率和致命及非致命性 CV 事件(在基线时无 CV 疾病的参与者中)。

结果

GDF-15 与全因死亡率的相关性最强(n = 158),标准化 ln GDF-15 每增加 1-SD,风险比(HR)为 1.68(95%CI,1.44-1.96)。NT-proBNP 是唯一能预测 CV 事件的生物标志物(n = 163;HR 1.54 [95%CI,1.30-1.84])。GDF-15 和 NT-proBNP 也改善了各自结局的判别和重新分类的指标。70 至 75 岁之间 GDF-15 浓度的变化预测全因死亡率,而 NT-proBNP 的变化预测两种结局。除 sST2 外,其他生物标志物及其时间变化仅提供了适度的预后价值,sST2 与不良事件之间呈中性关系。

结论

评估 GDF-15 和 NT-proBNP 浓度的时间变化可改善老年人群的风险预测。鉴于将生物标志物作为识别和监测处于临床前和潜在可改变阶段的 CV 疾病高危人群的工具的重要性,这些发现具有相当大的意义。

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