Sarrafan-Chaharsoughi Zahra, Sinaii Ninet, Demidowich Andrew P, Yanovski Jack A
Section on Growth and Obesity, Division of Intramural Research (DIR), Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD), National Institutes of Health (NIH), Bethesda, MD, USA.
Biostatistics and Clinical Epidemiology Service, NIH Clinical Center, Bethesda, MD, USA.
J Clin Transl Endocrinol. 2024 Dec 13;39:100382. doi: 10.1016/j.jcte.2024.100382. eCollection 2025 Mar.
Identifying and treating metabolic syndrome (MetS) early is of great importance, as MetS portends numerous negative health outcomes. Identifying an inexpensive, readily available inflammatory biomarker that accurately predicts MetS could be of use to clinicians.
The aim of this study was to evaluate the relationship between the neutrophil-to-lymphocyte ratio (NLR) and MetS in U.S. adults. We used data from adult participants of the 1999-2018 National Health and Nutrition Examination Surveys to conduct a cross-sectional study. MetS was determined using National Cholesterol Education Program Adult Treatment Panel III (2005 revision) criteria; NLR was calculated by dividing the absolute neutrophil count by absolute lymphocyte count. Data were weighted and analyzed using survey procedures in SAS v9.4.
Data from 101,316 participants were reviewed, of whom 19,613 were eligible for weighted analysis. MetS was observed in 40.3 % of participants (n = 7,896), who met 3 = 3,902; 49.4 %), 4 (n = 2,817; 35.7 %), and 5 (n = 1,177; 14.9 %) criteria of MetS, respectively. Across the survey years, NLR was higher in those with MetS compared to those without (mean 2.24 [95 % CI 2.21, 2.28] vs 2.05 [95 % CI 2.02, 2.08]; < 0.001). There was a consistent trend of increasing NLR according to MetS severity ( < 0.001). An NLR cutoff of 1.67 had 74.3 % sensitivity and 62.3 % specificity for MetS with Area-under-the-curve of 0.736 [95 % CI 0.73, 0.74].
Among U.S. adults, NLR was associated with MetS and MetS severity, independent of age and race/ethnicity.
早期识别和治疗代谢综合征(MetS)非常重要,因为MetS预示着众多负面健康后果。识别一种廉价、易于获得且能准确预测MetS的炎症生物标志物可能对临床医生有用。
本研究的目的是评估美国成年人中性粒细胞与淋巴细胞比值(NLR)与MetS之间的关系。我们使用了1999 - 2018年国家健康与营养检查调查中成年参与者的数据进行横断面研究。MetS根据国家胆固醇教育计划成人治疗小组第三次报告(2005年修订版)标准确定;NLR通过将绝对中性粒细胞计数除以绝对淋巴细胞计数来计算。数据经过加权处理,并使用SAS v9.4中的调查程序进行分析。
共审查了101,316名参与者的数据,其中19,613名符合加权分析条件。40.3%的参与者(n = 7,896)患有MetS,他们分别符合3条(n = 3,902;49.4%)、4条(n = 2,817;35.7%)和5条(n = 1,177;14.9%)MetS标准。在整个调查年份中,患有MetS的人的NLR高于未患MetS的人(均值2.24 [95% CI 2.21, 2.28] 对2.05 [95% CI 2.02, 2.08];P < 0.001)。根据MetS严重程度,NLR呈一致的上升趋势(P < 0.001)。NLR临界值为1.67时,对MetS的敏感性为74.3%,特异性为62.3%,曲线下面积为0.736 [95% CI 0.73, 0.74]。
在美国成年人中,NLR与MetS及其严重程度相关,且独立于年龄和种族/民族。