Department of Medicine, Staten Island University Hospital, Staten Island, NY, United States.
Department of Cardiology, Staten Island University Hospital, Staten Island, NY, United States.
Int J Cardiol. 2014 Feb 15;171(3):390-7. doi: 10.1016/j.ijcard.2013.12.019. Epub 2013 Dec 23.
Neutrophil lymphocyte ratio (NLR) has been shown to predict cardiovascular events in several studies. We sought to study if NLR predicts coronary heart disease (CHD) in a healthy US cohort and if it reclassifies the traditional Framingham risk score (FRS) model.
We performed post hoc analysis of National Health and Nutrition Examination Survey-III (1998-94) including subjects aged 30-79 years free from CHD or CHD equivalent at baseline. Primary endpoint was death from ischemic heart disease. NLR was divided into four categories: <1.5, ≥1.5 to <3.0, 3.0-4.5 and >4.5. Statistical analyses involved multivariate Cox proportional hazards models as well as discrimination, calibration and reclassification.
We included 7363 subjects with a mean follow up of 14.1 years. There were 231 (3.1%) CHD deaths, more in those with NLR>4.5 (11%) compared to NLR<1.5 (2.4%), p<0.001. Adjusted hazard ratio of NLR>4.5 was 2.68 (95% CI 1.07-6.72, p=0.035). There was no significant improvement in C-index (0.8709 to 0.8713) or area under curve (0.8520 to 0.8531) with addition of NLR to FRS model. Model with NLR was well calibrated with Hosmer-Lemeshow chi-square of 8.57 (p=0.38). Overall net reclassification index (NRI) was 6.6% (p=0.003) with intermediate NRI of 10.1% (p<0.001) and net upward reclassification of 5.6%. Absolute integrated discrimination index (IDI) was 0.003 (p=0.039) with relative IDI of 4.3%.
NLR can independently predict CHD mortality in an asymptomatic general population cohort. It reclassifies intermediate risk category of FRS, with significant upward reclassification. NLR should be considered as an inflammatory biomarker of CHD.
多项研究表明中性粒细胞与淋巴细胞比值(NLR)可预测心血管事件。我们旨在研究 NLR 是否可预测美国健康队列中的冠心病(CHD),以及它是否可重新分类传统弗雷明汉风险评分(FRS)模型。
我们对国家健康和营养检查调查 III 期(1998-94 年)进行了事后分析,包括基线时无 CHD 或 CHD 等效疾病的 30-79 岁的受试者。主要终点是缺血性心脏病死亡。NLR 分为四个类别:<1.5、≥1.5 至<3.0、3.0-4.5 和>4.5。统计分析涉及多变量 Cox 比例风险模型以及区分度、校准和再分类。
我们纳入了 7363 名受试者,平均随访时间为 14.1 年。有 231 例(3.1%)CHD 死亡,NLR>4.5(11%)者多于 NLR<1.5(2.4%)者,p<0.001。NLR>4.5 的调整后危险比为 2.68(95%CI 1.07-6.72,p=0.035)。NLR 添加到 FRS 模型后,C 指数(0.8709 至 0.8713)或曲线下面积(0.8520 至 0.8531)无显著改善。NLR 模型的 Hosmer-Lemeshow χ2 值为 8.57(p=0.38),校准情况良好。总体净重新分类指数(NRI)为 6.6%(p=0.003),中间 NRI 为 10.1%(p<0.001),净向上重新分类为 5.6%。绝对综合判别指数(IDI)为 0.003(p=0.039),相对 IDI 为 4.3%。
NLR 可独立预测无症状一般人群队列中的 CHD 死亡率。它可重新分类 FRS 的中间风险类别,并具有显著的向上重新分类。NLR 应被视为 CHD 的炎症生物标志物。