Wu Lanlan, Han Dunzheng, Xue Yuting, He Shangfei, Ma Zhuang, Su Shuwen, Li Peixin, Liu Shenrong, Zhou Haobin
Department of Cardiology, First Affiliated Hospital, Guangzhou Medical University, Guangzhou, Guangdong, 510120, China.
Diabetol Metab Syndr. 2025 Jan 31;17(1):39. doi: 10.1186/s13098-025-01609-8.
Metabolic syndrome (MetS) is a global public health problem that significantly impacts human health and quality of life. The relationship between MetS and the C-reactive protein-albumin-lymphocyte (CALLY) index is uncertain.
This study analyzed the data of 7,534 individuals from the National Health and Nutrition Examination Survey cycles (2003-2010 cycles). Weighted logistic regression and weighted restricted cubic spline (RCS) curve analyses were used to identify the relationships between the CALLY index and MetS, as well as its components.
Of the 7,534 participants, 2,086 were diagnosed with MetS. The estimated prevalence of MetS decreased with an increase in the CALLY index (P < 0.001). Multivariable logistic regression analysis showed that the odds ratio of MetS was 0.25 (95% confidence interval 0.20-0.32, P < 0.001) in the highest CALLY index quartile compared with the lowest quartile after adjusting for confounding variables. The RCS curve analysis revealed non-linear relationships between the CALLY index and MetS or its components.
This study revealed an inverse relationship between the CALLY index and MetS risk. The CALLY index might be valuable for identifying individuals who are at a high risk of MetS.
Not applicable.
代谢综合征（MetS）是一个全球性的公共卫生问题，对人类健康和生活质量有重大影响。MetS与C反应蛋白-白蛋白-淋巴细胞（CALLY）指数之间的关系尚不确定。
本研究分析了来自国家健康与营养检查调查周期（2003 - 2010年周期）的7534名个体的数据。采用加权逻辑回归和加权受限立方样条（RCS）曲线分析来确定CALLY指数与MetS及其各组分之间的关系。
在7534名参与者中，2086人被诊断为MetS。MetS的估计患病率随CALLY指数的升高而降低（P < 0.001）。多变量逻辑回归分析显示，在调整混杂变量后，最高CALLY指数四分位数组中MetS的比值比为0.25（95%置信区间0.20 - 0.32，P < 0.001），而最低四分位数组与之相比。RCS曲线分析揭示了CALLY指数与MetS或其组分之间的非线性关系。
本研究揭示了CALLY指数与MetS风险之间的负相关关系。CALLY指数可能对识别MetS高风险个体具有重要价值。
不适用。
