Zhao Linlin, Cui Man, Yang Saiqi, Zhou Hui, Li Meng
Health Management Medicine Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, People's Republic of China.
Health Management Research Center, Central South University, Changsha, Hunan, People's Republic of China.
J Inflamm Res. 2024 Sep 30;17:6905-6916. doi: 10.2147/JIR.S474201. eCollection 2024.
This retrospective cohort study was designed to evaluate the association between eight systemic inflammation indicators at baseline and the metabolically unhealthy (MU) phenotype after two years of follow-up.
Participants were defined as metabolically healthy (MH) if they met 0-2 of the criteria and metabolically unhealthy (MU) if they met ≥ 3 of the criteria. A many of 4175 subjects aged 20-80 years with a metabolically healthy (MH) phenotype at baseline were enrolled in the study. We compared the clinical characteristics between women and men enrolled at baseline according to the metabolic phenotype at follow-up. The associations between baseline inflammation indicators and MU status at follow-up were evaluated using logistic regression analysis.
922 (22.08%) developed new-onset MU symptoms during follow-up. Logistic regression analysis found that most inflammation indicators were significantly associated with MU phenotype at follow-up, aside from the LMR and SII. After adjusting for potential confounders, only the correlations between CRP level, neutrophil count, and MU phenotype reached significance. In comparison to the control group with a CRP of <0.50 mg/L, the odds ratios (ORs) and 95% confidence intervals (CIs) were 1.61 (1.25-2.09), 1.49 (1.15-1.94), and 1.68 (1.30-2.18) for individuals with CRP levels of 0.50-0.90 mg/L, 0.91-1.72 mg/L, and above 1.72 mg/L, respectively. In the population with a neutrophil count <5.00 ×10 cells/L, the neutrophil count correlated positively and significantly with the MU phenotype. In comparison to the control group with a neutrophil count of <2.75 × 10 cells/L, the ORs and 95% CIs were 1.65 (1.30-2.09) in the population with neutrophil count >4.17 × 10 cells/L.
CRP and neutrophil counts positively correlated with the risk of MU phenotype in Chinese subjects. These composite inflammatory markers (NLR, PLR, LMR, and SII) provide limited advantages for predicting MU risks compared to CRP.
本回顾性队列研究旨在评估基线时八项全身炎症指标与随访两年后代谢不健康（MU）表型之间的关联。
若参与者符合0 - 2项标准，则被定义为代谢健康（MH）；若符合≥3项标准，则被定义为代谢不健康（MU）。本研究纳入了4175名年龄在20 - 80岁、基线时具有代谢健康（MH）表型的受试者。我们根据随访时的代谢表型比较了基线时纳入的女性和男性的临床特征。使用逻辑回归分析评估基线炎症指标与随访时MU状态之间的关联。
922名（22.08%）在随访期间出现了新发的MU症状。逻辑回归分析发现，除淋巴细胞与单核细胞比值（LMR）和全身炎症反应指数（SII）外，大多数炎症指标与随访时的MU表型显著相关。在调整潜在混杂因素后，仅C反应蛋白（CRP）水平、中性粒细胞计数与MU表型之间的相关性具有统计学意义。与CRP<0.50 mg/L的对照组相比，CRP水平为0.50 - 0.90 mg/L、0.91 - 1.72 mg/L和高于1.72 mg/L的个体的比值比（OR）和95%置信区间（CI）分别为1.61（1.25 - 2.09）、1.49（1.15 - 1.94）和1.68（1.30 - 2.18）。在中性粒细胞计数<5.00×10⁹/L的人群中，中性粒细胞计数与MU表型呈显著正相关。与中性粒细胞计数<2.75×10⁹/L的对照组相比，中性粒细胞计数>4.17×10⁹/L人群的OR和95%CI为1.65（1.30 - 2.09）。
在中国受试者中，CRP和中性粒细胞计数与MU表型风险呈正相关。与CRP相比，这些综合炎症标志物（中性粒细胞与淋巴细胞比值（NLR）、血小板与淋巴细胞比值（PLR）、LMR和SII）在预测MU风险方面优势有限。
