Yang Xue-Jiao, Zhang Le-Yang, Ma Qing-Hua, Sun Hong-Peng, Xu Yong, Chen Xing, Pan Chen-Wei
School of Public Health, Medical College of Soochow University, Suzhou, China.
Medical College of Soochow University, Suzhou, China.
Endocr Connect. 2020 Jul;9(7):696-704. doi: 10.1530/EC-20-0209.
We aimed to examine the associations of platelet parameters with the presence of metabolic syndrome in community-dwelling older Chinese adults.
Study sample was from the Weitang Geriatric Diseases Study, which included 4338 individuals aged 60 years or above. The mean age of the participants was 68 years. Metabolic syndrome was defined based on the Adult Treatment Panel III criteria. Platelet parameters were assessed using an automated hematology analyzer. Multiple logistic regression models were fitted to examine relationships between the platelet parameters and the presence of metabolic syndrome after adjusting for potential confounders.
The adjusted odds ratio (95% CI) of metabolic syndrome for the highest quartile of platelet parameters (platelet count, mean platelet volume, plateletcrit, platelet distribution width, platelet larger cell ratio) when compared to the lowest quartile were 1.32 (1.06, 1.64), 1.00 (0.81, 1.24), 1.37 (1.10, 1.71), 1.45 (1.14, 1.83), 1.11 (0.89, 1.39), respectively. Hypertension and diabetes modified the relationship between platelet distribution width and metabolic syndrome with the associations being significant in hypertensive and non-diabetic groups. The levels of platelet distribution width increased with the risk of metabolic syndrome in men but not in women.
The levels of platelet count, plateletcrit and platelet distribution width increased in older adults with metabolic syndrome, suggesting that these parameters may be useful biomarkers for further risk appraisal of metabolic syndrome in aged population.
我们旨在研究社区居住的中国老年成年人血小板参数与代谢综合征之间的关联。
研究样本来自渭塘老年疾病研究,该研究纳入了4338名60岁及以上的个体。参与者的平均年龄为68岁。代谢综合征根据成人治疗小组III标准进行定义。血小板参数使用自动血液分析仪进行评估。在调整潜在混杂因素后,采用多元逻辑回归模型来检验血小板参数与代谢综合征之间的关系。
与最低四分位数相比,血小板参数(血小板计数、平均血小板体积、血小板压积、血小板分布宽度、血小板大细胞比率)最高四分位数的代谢综合征调整优势比(95%可信区间)分别为1.32(1.06,1.64)、1.00(0.81,1.24)、1.37(1.10,1.71)、1.45(1.14,1.83)、1.11(0.89,1.39)。高血压和糖尿病改变了血小板分布宽度与代谢综合征之间的关系,在高血压且非糖尿病组中这种关联具有显著性。男性中血小板分布宽度水平随代谢综合征风险增加而升高,女性则不然。
患有代谢综合征的老年人血小板计数、血小板压积和血小板分布宽度水平升高,表明这些参数可能是老年人群代谢综合征进一步风险评估的有用生物标志物。