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Evaluation of 9 biomarkers for predicting 10-year cardiovascular risk in patients undergoing coronary angiography: Findings from the LUdwigshafen RIsk and Cardiovascular Health (LURIC) study

机译:评价9种可预测冠状动脉造影患者十年心血管风险的生物标志物:路德维希港RIsk和心血管健康(LURIC)研究的发现

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Background Conventional factors do not fully explain the distribution of cardiovascular outcomes. Biomarkers are known to participate in well-established pathways associated with cardiovascular disease, and may therefore provide further information over and above conventional risk factors. This study sought to determine whether individual and/or combined assessment of 9 biomarkers improved discrimination, calibration and reclassification of cardiovascular mortality. Methods 3267 patients (2283 men), aged 18-95 years, at intermediate-to-high-risk of cardiovascular disease were followed in this prospective cohort study. Conventional risk factors and biomarkers were included based on forward and backward Cox proportional stepwise selection models. Results During 10-years of follow-up, 546 fatal cardiovascular events occurred. Four biomarkers (interleukin-6, neutrophils, von Willebrand factor, and 25-hydroxyvitamin D) were retained during stepwise selection procedures for subsequent analyses. Simultaneous inclusion of these biomarkers significantly improved discrimination as measured by the C-index (0.78, P = 0.0001), and integrated discrimination improvement (0.0219, P < 0.0001). Collectively, these biomarkers improved net reclassification for cardiovascular death by 10.6% (P < 0.0001) when added to the conventional risk model. Conclusions In terms of adverse cardiovascular prognosis, a biomarker panel consisting of interleukin-6, neutrophils, von Willebrand factor, and 25-hydroxyvitamin D offered significant incremental value beyond that conveyed by simple conventional risk factors.
机译:背景技术常规因素不能完全解释心血管预后的分布。已知生物标记物参与与心血管疾病相关的公认的途径,因此可以提供除常规危险因素以外的更多信息。这项研究试图确定对9种生物标志物的单独和/或综合评估是否能够改善对心血管疾病死亡率的区分,校准和重新分类。方法这项前瞻性队列研究追踪了3267例年龄在18-95岁之间的心血管疾病中高危患者(2283名男性)。基于前向和后向Cox比例逐步选择模型,包括了常规的危险因素和生物标志物。结果在10年的随访中,发生了546起致命的心血管事件。在逐步选择过程中保留了四个生物标记物(白介素6,中性粒细胞,von Willebrand因子和25-羟基维生素D),用于后续分析。同时包含这些生物标记物可显着改善按C指数(0.78,P = 0.0001)进行的判别,并提高了综合辨别度(0.0219,P <0.0001)。总的来说,当添加到常规风险模型中时,这些生物标志物可使心血管死亡的净重分类提高了10.6%(P <0.0001)。结论就不利的心血管预后而言,由白介素6,嗜中性粒细胞,von Willebrand因子和25-羟基维生素D组成的生物标志物组提供了超过简单常规危险因素所能提供的显着增值。

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