Student Research Committee, Faculty of Medicine, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Cardiovascular Research Center, Hormozgan University of Medical Sciences, Bandar Abbas, Iran.
Lipids Health Dis. 2024 Nov 28;23(1):393. doi: 10.1186/s12944-024-02378-5.
Metabolic Syndrome (MetS) is characterized by the co-occurrence of various metabolic risk factors, significantly increasing the risk of cardiovascular diseases (CVD) and type 2 diabetes (T2DM). This study investigates the potential of hematological indices, specifically the neutrophil to high-density lipoprotein cholesterol ratio (NHR) and lymphocyte to high-density lipoprotein cholesterol ratio (LHR), as predictors of MetS in a population from southern Iran.
Utilizing baseline data from the Bandare-Kong Non-Communicable Diseases (BKNCD) Cohort, part of the Prospective Epidemiological Research Studies in IrAN (PERSIAN), A total of 2,684 participants aged 35-70 years were analyzed. Participants were evaluated using the Iranian National Cholesterol Education Program (NCEP) criteria to diagnose MetS. Receiver operating characteristic (ROC) analysis was conducted to assess the predictive validity of NHR and LHR across different demographic categories.
The mean LHR and NHR values were significantly higher in individuals diagnosed with MetS (P < 0.001). Specifically, the LHR was 0.85 ± 0.26 in MetS patients compared to 0.76 ± 0.23 in those without MetS, while the NHR was 1.33 ± 0.35 in MetS patients compared to 1.20 ± 0.32 in those without MetS. After adjusting for confounding factors, both LHR and NHR remained significantly associated with MetS, with odds ratios (OR) of 6.61 (95% CI: 4.43-9.83) for LHR and 4.76 (95% CI: 3.51-6.45) for NHR. Among MetS components, LHR was associated with low HDL cholesterol and elevated triglycerides, while NHR showed significant associations with central obesity, low HDL cholesterol, and elevated triglycerides. ROC analysis revealed moderate predictive capabilities for both indices, with areas under the curve of 0.60 for LHR and 0.61 for NHR.
The findings suggest that NHR and LHR are promising, easily obtainable hematological markers for predicting MetS. These indices could serve as valuable tools for early detection and ongoing monitoring in clinical settings, aiding in the prevention and management of MetS.
代谢综合征（MetS）的特征是各种代谢风险因素的同时发生，显著增加了心血管疾病（CVD）和 2 型糖尿病（T2DM）的风险。本研究旨在探讨伊朗南部人群中性粒细胞与高密度脂蛋白胆固醇比值（NHR）和淋巴细胞与高密度脂蛋白胆固醇比值（LHR）作为代谢综合征预测因子的潜力。
利用伊朗前瞻性流行病学研究（PERSIAN）中 Bandar-Kong 非传染性疾病（BKNCD）队列的基线数据，对 2684 名年龄在 35-70 岁的参与者进行了分析。使用伊朗国家胆固醇教育计划（NCEP）标准评估参与者以诊断代谢综合征。进行了受试者工作特征（ROC）分析，以评估 NHR 和 LHR 在不同人群中的预测有效性。
患有代谢综合征的个体的平均 LHR 和 NHR 值明显更高（P<0.001）。具体而言，代谢综合征患者的 LHR 为 0.85±0.26，而无代谢综合征患者的 LHR 为 0.76±0.23，而代谢综合征患者的 NHR 为 1.33±0.35，而无代谢综合征患者的 NHR 为 1.20±0.32。在调整混杂因素后，LHR 和 NHR 均与代谢综合征显著相关，LHR 的比值比（OR）为 6.61（95%可信区间：4.43-9.83），NHR 的 OR 为 4.76（95%可信区间：3.51-6.45）。在代谢综合征的各个组成部分中，LHR 与低 HDL 胆固醇和升高的甘油三酯有关，而 NHR 与中心性肥胖、低 HDL 胆固醇和升高的甘油三酯显著相关。ROC 分析显示这两个指标都具有中等的预测能力，LHR 的曲线下面积为 0.60，NHR 的曲线下面积为 0.61。
研究结果表明，NHR 和 LHR 是预测代谢综合征的有前途的、易于获得的血液学标志物。这些指标可以作为临床环境中早期发现和持续监测的有价值的工具，有助于代谢综合征的预防和管理。
