Yilmaz H, Ucan B, Sayki M, Unsal I, Sahin M, Ozbek M, Delibasi T
Turgut Ozal University School of Medicine, Department of Internal Medicine, Turkey.
Dışkapı Yıldırım Beyazıt Education and Researching Hospital, Department of Endocrinology and Metabolism, Turkey.
Diabetes Metab Syndr. 2015 Oct-Dec;9(4):299-304. doi: 10.1016/j.dsx.2014.04.009. Epub 2014 May 19.
There is growing consensus in the literature that inflammation plays a central role in the pathophysiology of obesity and type 2 diabetes mellitus (T2DM) and cardiovascular complications. Neutrophil-to-lymphocyte ratio (NLR) provides a simple method for assessment of inflammatory status and it is a new, inexpensive marker. The aim of the present study was to investigate the predictive value of preprocedural (before the OGTT) NLR on development of type 2 diabetes (T2DM) in morbid obesity patients (MOP).
306 MOP (body mass index ≥ 40 kg/m(2)) and 95 normal weight patients with normal OGTT [fasting plasma glucose (FPG)<100mg/dL. Two-hour glucose during OGTT<140 mg/dL] were evaluated in this study.
The mean ± SD NLR of MOP was significantly higher than that of patients with normal weight healthy patients (3.67 ± 0.95 vs. 1.82 ± 1.02, P<0.001, respectively). In receiver operating characteristics curve analysis, NLR>3.12 had 79.2% sensitivity and 64.9% specificity in predicting T2DM. Logistic regression analysis showed that elevated NLR (OR: 2.577, 95% CI: 1.363-4.872, P=0.004) was an independent variable for predicting T2DM in MOP.
MOP have higher NLR than healthy controls. High NLR is a powerful and independent predictor of T2DM in MOP. Elevated NLR levels are usually considered as an inflammatory marker. The results of this study suggested that inflammation plays a role in the pathogenesis of T2DM with MOP.
文献中越来越多的共识认为,炎症在肥胖、2型糖尿病(T2DM)及心血管并发症的病理生理学中起核心作用。中性粒细胞与淋巴细胞比值(NLR)为评估炎症状态提供了一种简单方法,是一种新的、低成本的标志物。本研究的目的是探讨病态肥胖患者(MOP)在口服葡萄糖耐量试验(OGTT)前的NLR对2型糖尿病(T2DM)发生的预测价值。
本研究评估了306例MOP(体重指数≥40kg/m²)和95例OGTT正常的正常体重患者[空腹血糖(FPG)<100mg/dL,OGTT期间2小时血糖<140mg/dL]。
MOP的平均±标准差NLR显著高于正常体重健康患者(分别为3.67±0.95 vs. 1.82±1.02,P<0.001)。在受试者工作特征曲线分析中,NLR>3.12预测T2DM的敏感性为79.2%,特异性为64.9%。逻辑回归分析显示NLR升高(OR:2.577,95%CI:1.363 - 4.872,P = 0.004)是MOP中预测T2DM的独立变量。
MOP的NLR高于健康对照。高NLR是MOP中T2DM的有力且独立的预测指标。NLR水平升高通常被视为炎症标志物。本研究结果表明炎症在MOP合并T2DM的发病机制中起作用。