Yang Weiming, Wang Xiaozhong, Zhang Weiheng, Ying Houqun, Xu Yanmei, Zhang Jing, Min Qinghua, Chen Juanjuan
Department of Clinical Laboratory, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Department of Oncology, The Second Affiliated Hospital of Nanchang University, Nanchang 330006, China.
Clin Chim Acta. 2017 Feb;465:11-16. doi: 10.1016/j.cca.2016.12.007. Epub 2016 Dec 10.
The neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) have emerged as useful biomarkers to predict systemic inflammation. However, there is no study to investigate the relationship between the biomarkers and dermatomyositis (DM).
Seventy-three newly diagnosed patients with DM and 147 healthy subjects were selected in this retrospective study. We divided the 73 DM patients into 2 groups: 55 without interstitial lung disease (ILD) and 18 with ILD. Complete clinical characteristics were extracted from the medical records of DM patients. The correlations between NLR, PLR, the clinical characteristics and the disease activity were analyzed.
For DM patients without ILD, the NLR and PLR were significantly higher than those in the control group (both P<0.001). For DM patients with ILD, the NLR and PLR were higher than in DM patients without ILD (P=0.004 and P=0.026, respectively). The NLR was positively correlated with C-reactive protein (CRP) (r=0.543, P<0.001) and the erythrocyte sedimentation rate (ESR) (r=0.513, P=0.001). The global activity scores correlated positively and significantly with NLR, PLR, and CRP (r=0.486, P<0.001; r=0.240, P=0.041; and r=0.343, P=0.003, respectively). Based on the ROC curve, to predict DM patients with ILD, the best cut-off value of the NLR was 3.98 (sensitivity 88.9%, specificity 52.7%, AUC=0.727), and the best cutoff value of PLR was 221.69 (sensitivity 77.8%, specificity 69.1%, AUC=0.722).
Both NLR and PLR exhibit favorable diagnostic performance in predicting pulmonary involvement and disease activity in patients with DM. We provide the optimal cut-off values for DM patients with ILD that would maximize the diagnostic efficiency.
中性粒细胞与淋巴细胞比值（NLR）和血小板与淋巴细胞比值（PLR）已成为预测全身炎症的有用生物标志物。然而，尚无研究调查这些生物标志物与皮肌炎（DM）之间的关系。
本回顾性研究选取了73例新诊断的DM患者和147例健康受试者。我们将73例DM患者分为两组：55例无间质性肺病（ILD）的患者和18例有ILD的患者。从DM患者的病历中提取完整的临床特征。分析NLR、PLR、临床特征与疾病活动度之间的相关性。
对于无ILD的DM患者，NLR和PLR显著高于对照组（均P<0.001）。对于有ILD的DM患者，NLR和PLR高于无ILD的DM患者（分别为P=0.004和P=0.026）。NLR与C反应蛋白（CRP）呈正相关（r=0.543，P<0.001），与红细胞沉降率（ESR）呈正相关（r=0.513，P=0.001）。整体活动评分与NLR、PLR和CRP呈显著正相关（分别为r=0.486，P<0.001；r=0.240，P=0.041；r=0.343，P=0.003）。根据ROC曲线，为预测有ILD的DM患者，NLR的最佳截断值为3.98（敏感性88.9%，特异性52.7%，AUC=0.727），PLR的最佳截断值为221.69（敏感性77.8%，特异性69.1%，AUC=0.722）。
NLR和PLR在预测DM患者的肺部受累和疾病活动度方面均表现出良好的诊断性能。我们提供了有ILD的DM患者的最佳截断值，可使诊断效率最大化。
