Omicron Hartaigh Bríain, Thomas G Neil, Bosch Jos A, Hemming Karla, Pilz Stefan, Loerbroks Adrian, Kleber Marcus E, Grammer Tanja B, Fischer Joachim E, Silbernagel Guenther, Tomaschitz Andreas, März Winfried
Department of Internal Medicine/Geriatrics, Yale School of Medicine, Yale University, 06510 New Haven, USA; Department of Public Health, Epidemiology and Biostatistics, University of Birmingham, UK.
Int J Cardiol. 2013 Oct 3;168(3):2609-15. doi: 10.1016/j.ijcard.2013.03.043. Epub 2013 Apr 16.
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.
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.
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.
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.
传统因素无法完全解释心血管疾病结局的分布情况。已知生物标志物参与了与心血管疾病相关的既定途径,因此可能提供超越传统危险因素的更多信息。本研究旨在确定对9种生物标志物进行单独和/或联合评估是否能改善对心血管死亡率的鉴别、校准和重新分类。
在这项前瞻性队列研究中,对3267例年龄在18 - 95岁、心血管疾病处于中高风险的患者(2283例男性)进行了随访。基于向前和向后的Cox比例逐步选择模型纳入了传统危险因素和生物标志物。
在10年的随访期间,发生了546例致命心血管事件。在逐步选择过程中保留了四种生物标志物(白细胞介素-6、中性粒细胞、血管性血友病因子和25-羟基维生素D)用于后续分析。同时纳入这些生物标志物显著改善了用C指数衡量的鉴别能力(0.78,P = 0.0001)以及综合鉴别改善情况(0.0219,P<0.0001)。总体而言,当将这些生物标志物添加到传统风险模型中时,它们使心血管死亡的净重新分类提高了10.6%(P<0.0001)。
就不良心血管预后而言,由白细胞介素-6、中性粒细胞、血管性血友病因子和25-羟基维生素D组成的生物标志物组合提供了超出简单传统危险因素所传达的显著增量价值。