White blood cell count, sex and age are major determinants of heterogeneity of platelet indices in an adult general population: results from the MOLI-SANI project
White blood cell count, sex and age are major determinants of heterogeneity of platelet indices in an adult general population: results from the MOLI-SANI project
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DOI：
10.3324/haematol.2011.043042
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发表时间：
2011-08-01
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影响因子：
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通讯作者：
Iacoviello, Licia
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文献类型：
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作者：
Santimone, Iolanda;Di Castelnuovo, Augusto;Iacoviello, Licia
对血小板指数（血小板计数、血小板电积、平均血小板体积和血小板分布宽度）的非遗传调控的理解是有限的。这些血小板指数与许多生化、环境和临床变量的关联在一个大队列的普通人群中进行了研究。设计与方法在以人口为基础的队列研究“Moli-sani”的框架内，从意大利Molise的各个村庄随机招募男女（n=18,097, 52%的女性，56 +/- 12岁）。使用自动分析仪（Beckman Coulter， IL, Milan, Italy）进行血色素细胞分析。采用多变量线性回归分析血小板指数与因变量的关系。结果包括年龄、性别、体重指数、血压、吸烟、绝经、白细胞和红细胞计数、平均红细胞体积、d -二聚体、c反应蛋白、高密度脂蛋白、低密度脂蛋白、甘油三酯、葡萄糖和药物使用在内的全模型分别解释了血小板计数、血小板电阻值、平均血小板体积和血小板分布宽度变异的16%、21%、1.9%和4.7%；与此最密切相关的变量是白细胞计数、年龄和性别。血小板计数、平均血小板体积、血小板容量与白细胞计数呈正相关，血小板分布宽度与白细胞计数呈负相关。血小板计数和血小板电活性也与c反应蛋白和d -二聚体呈正相关(P
BackgroundThe understanding of non-genetic regulation of platelet indices - platelet count, plateletcrit, mean platelet volume, and platelet distribution width - is limited. The association of these platelet indices with a number of biochemical, environmental and clinical variables was studied in a large cohort of the general population.Design and MethodsMen and women (n=18,097, 52% women, 56 +/- 12 years) were randomly recruited from various villages in Molise (Italy) in the framework of the population-based cohort study "Moli-sani". Hemochromocytometric analyses were performed using an automatic analyzer (Beckman Coulter, IL, Milan, Italy). Associations of platelet indices with dependent variables were investigated by multivariable linear regression analysis.ResultsFull models including age, sex, body mass index, blood pressure, smoking, menopause, white and red blood cell counts, mean corpuscular volume, D-dimers, C-reactive protein, high-density lipoproteins, low-density lipoproteins, triglycerides, glucose, and drug use explained 16%, 21%, 1.9% and 4.7% of platelet count, plateletcrit, mean platelet volume and platelet distribution width variability, respectively; variables that appeared to be most strongly associated were white blood cell count, age, and sex. Platelet count, mean platelet volume and plateletcrit were positively associated with white blood cell count, while platelet distribution width was negatively associated with white blood cell count. Platelet count and plateletcrit were also positively associated with C-reactive protein and D-dimers (P