Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Clinics (Sao Paulo). 2023 Jun 24;78:100232. doi: 10.1016/j.clinsp.2023.100232. eCollection 2023.
This study aimed to evaluate the association between Monocyte Lymphocyte Ratio (MLR) and Abdominal Aortic Calcification (AAC) in adults over 40 years of age in the United States.
Data were collected from the 2013-2014 National Health and Nutrition Examination Survey (NHANES). AAC was quantified by the Kauppila score system based on dual-energy X-Ray absorptiometry. Severe AAC was defined as a total AAC score > 6. The lymphocyte count and monocyte count can be directly obtained from laboratory data files. Multivariable logistic regression models were used to determine the association between MLR and the AAC score and severe AAC.
A total of 3,045 participants were included in the present study. After adjusting for multiple covariates, MLR was positively associated with higher AAC score (β = 0.21, 95% CI 0.07, 0.34, p = 0.0032) and the odds of severe AAC increased by 14% per 0.1 unit increase in the MLR (OR = 1.14, 95% CI 1.00, 1.31, p = 0.0541). The Odds Ratio (OR) (95% CI) of severe AAC for participants in MLR tertile 3 was 1.88 (1.02, 3.47) compared with those in tertile 1 (p for trend = 0.0341). Subgroup analyses showed that a stronger association was detected in the elderly compared with non-elderly (p for interaction = 0.0346) and diabetes compared with non-diabetes (borderline significant p for interaction = 0.0578).
In adults in the United States, MLR was associated with higher AAC scores and a higher probability of severe AAC. MLR may become a promising tool to predict the risk of AAC.
本研究旨在评估美国 40 岁以上成年人单核细胞-淋巴细胞比值(MLR)与腹主动脉钙化(AAC)之间的关系。
数据来自 2013-2014 年全国健康和营养调查(NHANES)。AAC 采用基于双能 X 射线吸收法的 Kauppila 评分系统进行量化。严重 AAC 定义为总 AAC 评分>6。淋巴细胞计数和单核细胞计数可直接从实验室数据文件中获得。多变量逻辑回归模型用于确定 MLR 与 AAC 评分和严重 AAC 之间的关系。
本研究共纳入 3045 名参与者。在校正多个协变量后,MLR 与较高的 AAC 评分呈正相关(β=0.21,95%CI 0.07,0.34,p=0.0032),MLR 每增加 0.1 单位,严重 AAC 的几率增加 14%(OR=1.14,95%CI 1.00,1.31,p=0.0541)。与 MLR 三分位 1 相比,MLR 三分位 3 的严重 AAC 的比值比(OR)(95%CI)为 1.88(1.02,3.47)(p 趋势=0.0341)。亚组分析显示,在老年人中比在非老年人中(p 交互=0.0346)和在糖尿病患者中比在非糖尿病患者中(边缘显著 p 交互=0.0578),相关性更强。
在美国成年人中,MLR 与较高的 AAC 评分和严重 AAC 的可能性增加相关。MLR 可能成为预测 AAC 风险的有前途的工具。