Stanford University School of Medicine, Stanford, California.
Stanford University School of Medicine, Stanford, California; Stanford Cardiovascular Institute, Stanford, California.
Am J Cardiol. 2020 Jan 15;125(2):229-235. doi: 10.1016/j.amjcard.2019.10.020. Epub 2019 Oct 26.
The neutrophil to lymphocyte ratio (NLR) has been proposed as a simple and routinely obtained marker of inflammation. This study sought to determine whether the NLR on admission as well as NLR trajectory would be complementary to the Get with the Guidelines Heart Failure (GWTG-HF) risk score in patients hospitalized with acute heart failure with preserved ejection fraction (HFpEF).Using the Stanford Translational Research Database, we identified 443 patients between January 2002 and December 2013 hospitalized with acute HFpEF and with complete data of NLR both on admission and at discharge. The primary endpoint was all-cause mortality. Mean age was 77 ± 16 years, 58% were female, with a high prevalence of diabetes mellitus (35.4%), coronary artery disease (58.2%), systemic hypertension (96.6%) and history of atrial fibrillation (57.5%). Over a median follow-up of 2.2 years, 121 (27.3%) patients died. The median NLR on admission was 6.5 (IQR 3.6 - 11.1); a majority of patients decreased their NLR during the course of hospitalization. On multivariable Cox modeling, both NLR on admission (HR 1.18 95% CI (1.00 - .38), p = 0.04) and absolute NLR trajectory (HR 1.26 95% CI (1.10 - 1.45), p = 0.001) were shown to be incremental to GWTG-HF risk score (p < 0.05) for outcome prediction. Adding the NLR or absolute NLR trajectory to the GWTG-HF risk score significantly improved the area under the operator-receiver curve and the reclassification up to 3 years after admission.This simple, readily available marker of inflammation may be useful when stratifying the risk of patients hospitalized with HFpEF.
中性粒细胞与淋巴细胞比值(NLR)已被提出作为炎症的一种简单且常规获得的标志物。本研究旨在确定入院时的 NLR 以及 NLR 变化轨迹是否可以补充用于急性射血分数保留的心力衰竭(HFpEF)患者的 Get with the Guidelines Heart Failure(GWTG-HF)风险评分。
使用斯坦福转化研究数据库,我们在 2002 年 1 月至 2013 年 12 月之间确定了 443 名患有急性 HFpEF 并在入院和出院时均有完整 NLR 数据的患者。主要终点是全因死亡率。平均年龄为 77±16 岁,58%为女性,糖尿病(35.4%)、冠状动脉疾病(58.2%)、系统性高血压(96.6%)和心房颤动(57.5%)的患病率较高。在中位随访 2.2 年期间,有 121 名(27.3%)患者死亡。入院时的中位数 NLR 为 6.5(IQR 3.6-11.1);大多数患者在住院期间 NLR 降低。在多变量 Cox 模型中,入院时的 NLR(HR 1.18,95%CI(1.00-0.38),p=0.04)和绝对 NLR 变化轨迹(HR 1.26,95%CI(1.10-1.45),p=0.001)均显示与 GWTG-HF 风险评分(p<0.05)呈增量关系,可用于预测结局。将 NLR 或绝对 NLR 变化轨迹添加到 GWTG-HF 风险评分中,显著提高了曲线下面积和 3 年后的重新分类。
这种简单且易于获得的炎症标志物在分层 HFpEF 患者的风险时可能是有用的。