Gijsberts Crystel M, Ellenbroek Guilielmus Hjm, Ten Berg Maarten J, Huisman Albert, van Solinge Wouter W, Asselbergs Folkert W, den Ruijter Hester M, Pasterkamp Gerard, de Kleijn Dominique Pv, Hoefer Imo E
Experimental Cardiology Laboratory, University Medical Center Utrecht, Utrecht, The Netherlands ICIN-Netherlands Heart Institute, the Netherlands.
Experimental Cardiology Laboratory, University Medical Center Utrecht, Utrecht, The Netherlands.
Eur J Prev Cardiol. 2016 Jul;23(11):1211-20. doi: 10.1177/2047487315621832. Epub 2015 Dec 7.
Inflammation and leukocyte infiltration are hallmarks of atherosclerosis. Clinically routine hematology analyzers mostly perform an entire differential blood count by default, irrespective of the requested parameter. We hypothesize that these normally unreported leukocyte characteristics associate with coronary artery disease (CAD) severity and can improve prediction of mortality in coronary angiography patients.
We studied coronary angiography patients suspected of CAD (n = 1015) from the Utrecht Coronary Biobank cohort. Leukocyte characteristics were routinely assessed in blood drawn directly prior to angiography using an automated hematology analyzer and extracted from the Utrecht patient oriented database (UPOD) database. Patients were followed up for a median duration of 805 days, during which 65 patients died. We evaluated the association of leukocyte characteristics with synergy between PCI with taxus and cardiac surgery (SYNTAX) score as a measure of CAD severity, all-cause and cardiovascular mortality and major adverse cardiovascular events (MACEs). In order to determine the improvement of risk prediction, we calculated continuous net reclassification improvement (cNRI) and integrated discrimination improvement (IDI).
Monocyte percentage showed strong independent predictive value for all-cause mortality (hazard ratio (HR) 1.44 (1.19-1.74), p < 0.001), and the monocyte-to-lymphocyte ratio performed best for cardiovascular mortality (HR 1.42 (1.11-1.81), p = 0.005). The cNRIs and IDIs of leukocyte characteristics for all-cause mortality confirmed the improvement in mortality risk prediction. No significantly predictive leukocyte characteristics were found for MACEs.
Readily available yet unreported leukocyte characteristics from routine hematology analyzers significantly improved prediction of mortality in coronary angiography patients on top of clinical characteristics.
炎症和白细胞浸润是动脉粥样硬化的标志。临床上,常规血液分析仪大多默认进行全血细胞分类计数,而不考虑所要求的参数。我们推测,这些通常未报告的白细胞特征与冠状动脉疾病(CAD)的严重程度相关,并且可以改善对冠状动脉造影患者死亡率的预测。
我们研究了乌得勒支冠状动脉生物样本库队列中疑似CAD的冠状动脉造影患者(n = 1015)。在血管造影术前直接采集的血液中,使用自动血液分析仪对白细胞特征进行常规评估,并从乌得勒支患者导向数据库(UPOD)中提取。对患者进行了中位时间为805天的随访,在此期间有65名患者死亡。我们评估了白细胞特征与紫杉醇药物涂层支架植入术与心脏手术协同作用(SYNTAX)评分之间的关联,SYNTAX评分作为CAD严重程度的指标,以及全因死亡率、心血管死亡率和主要不良心血管事件(MACE)。为了确定风险预测的改善情况,我们计算了连续净重新分类改善(cNRI)和综合判别改善(IDI)。
单核细胞百分比对全因死亡率显示出强大的独立预测价值(风险比(HR)1.44(1.19 - 1.74),p < 0.001),单核细胞与淋巴细胞比值对心血管死亡率的预测效果最佳(HR 1.42(1.11 - 1.81),p = 0.005)。白细胞特征对全因死亡率的cNRI和IDI证实了死亡率风险预测的改善。未发现对MACE有显著预测作用的白细胞特征。
常规血液分析仪中易于获得但未报告的白细胞特征,在临床特征基础上显著改善了冠状动脉造影患者死亡率的预测。