Department of Orthopedics, Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, 330006, PR China.
Department of Cardiovascular Medicine, Institute of Cardiovascular disease, Second Affiliated Hospital of Nanchang University, Jiang Xi, Nan Chang, Jiangxi Province, 330006, PR China.
BMC Endocr Disord. 2024 Aug 20;24(1):155. doi: 10.1186/s12902-024-01689-z.
Neutrophil-to-lymphocyte ratio (NLR) has been shown to be an independent predictor for cardiovascular diseases and metabolic diseases. The role of NLR in metabolic syndrome (MS) has also been explored albeit with conflicting results. The objective of this study was to assess the predictive role of NLR in MS.
We conducted a meta-analysis of observational studies to evaluate the predictive role of NLR in MS. Cochrane library, PubMed, Medline, Embase, and Scopus were systematically searched from their inception to December 2023. The Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines was followed. The statistical analysis was performed using RevMan 5.3 software. A randomeffect model was used.
Twenty six studies enrolling 70,937 individuals were included in this meta-analysis. Compared with the individuals without MS, NLR value was significantly higher in the patients of MS (mean difference (MD) 0.40, 95% confidence intervals (CI): 0.27-0.52, P < 0.00001, I = 97%). The derived NLR value also was significantly higher in participants with MS than those without MS (MD 0.48, 95%CI: 0.13-0.84, P = 0.007, I = 96%). There was no statistically significant association for NLR between the patients with 4 metabolic risk factors (MRF) and those with 3 MRF, or between patients with 5 MRF and those with 4 MRF (MD 0.16, 95%CI: -0.02-0.35, P = 0.10, I = 84%; MD 0.12, 95%CI: -0.06-0.29, P = 0.20, I = 68%). However, MS patients with 5 MRF had a significantly higher mean NLR value than those with 3MRF (MD 0.37, 95%CI: 0.05-0.68, P = 0.02, I = 92%). Compared with the individuals with low NLR, incidence of MS was significantly higher in those with high NLR (OR 2.23, 95%CI: 1.25-3.98, P = 0.006, I = 97%).
The findings of our meta-analysis suggested that the value of NLR and derived NLR were higher in MS patients. MS patients with 5 MRF had a significantly higher mean NLR value. High NLR also demonstrated a significantly increased the incidence of MS. NLR may be a good predictive biomarker in MS.
中性粒细胞与淋巴细胞比值(NLR)已被证明是心血管疾病和代谢疾病的独立预测因子。 NLR 在代谢综合征(MS)中的作用也已经被探讨过,尽管结果存在冲突。本研究的目的是评估 NLR 在 MS 中的预测作用。
我们对观察性研究进行了荟萃分析,以评估 NLR 在 MS 中的预测作用。从成立到 2023 年 12 月,系统地检索了 Cochrane 图书馆、PubMed、Medline、Embase 和 Scopus。遵循系统评价和荟萃分析的 Preferred Reporting Items(PRISMA)指南。使用 RevMan 5.3 软件进行统计分析。使用随机效应模型。
这项荟萃分析纳入了 26 项研究,共纳入 70937 名参与者。与无 MS 患者相比,MS 患者的 NLR 值明显更高(平均差异(MD)0.40,95%置信区间(CI):0.27-0.52,P<0.00001,I=97%)。在有 MS 的参与者中, NLR 值也明显高于无 MS 的参与者(MD 0.48,95%CI:0.13-0.84,P=0.007,I=96%)。有 4 项代谢危险因素(MRF)的患者与有 3 项 MRF 的患者之间,或有 5 项 MRF 的患者与有 4 项 MRF 的患者之间的 NLR 值无统计学显著差异(MD 0.16,95%CI:-0.02-0.35,P=0.10,I=84%;MD 0.12,95%CI:-0.06-0.29,P=0.20,I=68%)。然而,有 5 项 MRF 的 MS 患者的平均 NLR 值明显高于有 3 项 MRF 的患者(MD 0.37,95%CI:0.05-0.68,P=0.02,I=92%)。与 NLR 值较低的患者相比, NLR 值较高的患者 MS 的发生率明显更高(OR 2.23,95%CI:1.25-3.98,P=0.006,I=97%)。
我们的荟萃分析结果表明,MS 患者的 NLR 值和衍生 NLR 值较高。有 5 项 MRF 的 MS 患者的平均 NLR 值明显更高。高 NLR 也显著增加了 MS 的发生率。 NLR 可能是 MS 的一个良好的预测生物标志物。