Chen Haishan, Xiong Chongxiang, Shao Xiaofei, Ning Jing, Gao Peichun, Xiao Hua, Chen Yunying, Zou Ziliang, Hong Guobao, Li Xiaolin, Shao Mengjiao, Sheng Jieli, Yang Xingyan, You Xu, Zou Hequn
Department of Nephrology, The Third Affiliated Hospital, Southern Medical University, Guangzhou 510630, People's Republic of China.
Diabetes Metab Syndr Obes. 2019 Oct 14;12:2117-2123. doi: 10.2147/DMSO.S219363. eCollection 2019.
Metabolic syndrome (MetS), which is a global public health problem, is a state of chronic low-grade inflammation. This study looked at the changes in hematological parameters and the predictive value of the lymphocyte to high-density lipoprotein cholesterol (HDL-C) ratio (LHR) as a new index in subjects with and without MetS in coastal cities in southern China.
In this cross-sectional study, there were 852 participants (n = 598 with MetS and n = 254 without MetS). MetS was defined in accordance with the National Cholesterol Education Program, Adult Treatment Panel III (NCEP-ATP III) criteria.
MetS was positively correlated with white blood cell count, total lymphocyte count, neutrophil count, red blood cell count, hematocrit, hemoglobin, and high-sensitivity C-reactive protein levels (<0.05). In addition, there was a positive correlation between LHR and the number of metabolic risk factors for MetS. In a logistic regression analysis, LHR (odds ratio: 4.117; 95% CI: 2.766-6.309; <0.001) was an independent predictor of MetS. When a receiver operating characteristic (ROC) curve analysis was used to assess the value of LHR for predicting MetS, the area under the curve yielded a cut-off value of 1.657, with a sensitivity of 65% and a specificity of 64% (<0.0001).
In summary, MetS can involve changes in blood parameters, and LHR may be a useful marker of inflammation to assess the presence and severity of MetS.
代谢综合征（MetS）是一个全球性的公共卫生问题，是一种慢性低度炎症状态。本研究观察了中国南方沿海城市有和无MetS的受试者血液学参数的变化以及淋巴细胞与高密度脂蛋白胆固醇（HDL-C）比值（LHR）作为一项新指标的预测价值。
在这项横断面研究中，有852名参与者（n = 598名患有MetS，n = 254名未患有MetS）。MetS根据美国国家胆固醇教育计划成人治疗小组第三次报告（NCEP-ATP III）标准进行定义。
MetS与白细胞计数、淋巴细胞总数、中性粒细胞计数、红细胞计数、血细胞比容、血红蛋白和高敏C反应蛋白水平呈正相关（<0.05）。此外，LHR与MetS的代谢风险因素数量之间存在正相关。在逻辑回归分析中，LHR（比值比：4.117；95%可信区间：2.766 - 6.309；<0.001）是MetS的独立预测因子。当使用受试者工作特征（ROC）曲线分析评估LHR对预测MetS的价值时，曲线下面积得出的截断值为1.657，敏感性为65%，特异性为64%（<0.0001）。
总之，MetS可涉及血液参数的变化，LHR可能是评估MetS的存在和严重程度的一种有用的炎症标志物。
