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山东大学学报 (医学版) ›› 2018, Vol. 56 ›› Issue (12): 92-97.doi: 10.6040/j.issn.1671-7554.0.2018.411

• 公共卫生与管理学 • 上一篇    

血小板计数与代谢综合征关联性的前瞻性队列研究

马晓天1,顾建华1,王丽2,薛付忠1,刘言训1   

  1. 1.山东大学公共卫生学院生物统计学系, 山东 济南 250012;2.山东电力中心医院心内科, 山东 济南 250001
  • 发布日期:2022-09-27
  • 通讯作者: 刘言训. E-mail:liu-yx@sdu.edu.cn
  • 基金资助:
    国家自然科学基金(81273177)

Association between platelet count and metabolic syndrome based on a prospective cohort study

MA Xiaotian1, GU Jianhua1, WANG Li2, XUE Fuzhong1, LIU Yanxun1   

  1. 1. Department of Biostatistics, School of Public Health, Shandong University, Jinan 250012, Shandong, China;
    2. Department of Cardiology, Shandong Electric Power Center Hospital, Jinan 250001, Shandong, China
  • Published:2022-09-27

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摘要： 目的 探讨血小板计数与代谢综合征的关联性。 方法 基于大规模健康管理队列,选取随访期间进行过至少两次体检记录、重要指标无缺失、基线未患有代谢综合征的人群建立前瞻性队列。按照基线血小板计数四分位数将研究对象分为4组,比较各组的发病密度。对这4组人群的基线各变量的特征进行描述。使用Cox比例风险回归模型,分别以血小板计数的数值变量或四分位数分组作为研究的变量,逐渐调整年龄、性别、BMI、高血糖、高血压、血脂异常,探究血小板计数在调整混杂因素前后是否仍为代谢综合征的危险因素。 结果 共计14 173位年龄在21~60岁的体检者进入队列,总计随访41 014.8人年,平均随访时间2.89年,随访中共有1 611人被诊断为代谢综合征,总人群发病密度为39.28/1 000人年。血小板计数在模型1(单因素)、模型2(调整年龄、性别)、模型3(调整年龄、性别、BMI、高血糖、高血压和血脂异常)中的风险比(HR)始终有统计学意义,表明随着血小板计数的增大代谢综合征的发病风险增加。当以血小板计数四分位数分组为研究的变量时,在模型1的单因素回归中,Q2组与Q1组相比,代谢综合征发病风险并未增加;Q3组和Q4组均有较高的风险增加;在模型2和模型3调整混杂因素后,Q2、Q3、Q4组均有统计学意义,且它们相对于Q1组的HR逐渐增大,结果表明随着血小板计数增加,代谢综合征发病风险也会增大。 结论 血小板计数升高是代谢综合征发生的独立危险因素。

关键词: 血小板计数, 代谢综合征, 体检人群, 队列, Cox模型

Abstract: Objective To explore the correlation between platelet count and metabolic syndrome. Methods Our cohort was based on a “Multi-center Health Management Cohort”. People who did at least two health examinations, didnt have missing value in important variables, and were free of metabolic syndrome at baseline were selected into the prospective cohort. The study subjects were divided into four groups according to the baseline platelet count quartile, and the incidence density of each group was compared. The characteristics of each variable were described in the four groups at baseline. The Cox proportional regression model was used in this study, where we adjusted age, gender, BMI, hyperglycemia, hypertension and dysplasia gradually, to explore whether the platelet count was still a risk factor for metabolic syndrome before and after adjustment of confounding factors. Results There were 14 173 individuals who were aged 21-60 in this cohort. The total follow-up time was 41 014.8 person-year. The average follow-up time was 2.89 years. A total of 1 611 people were diagnosed as having metabolic syndrome. The incidence density of this cohort was 39.28/1 000 person-year. The platelet counts were always statistically significant in model 1(single factor analysis), 山 东 大 学 学 报 (医 学 版)56卷12期 -马晓天,等.血小板计数与代谢综合征关联性的前瞻性队列研究 \=-model 2(adjusted for age and gender)and model 3(adjusted for age, gender, BMI, hyperglycemia, hypertension and dysplasia), with similar HR values. Q2 didnt have a statistical difference with Q1 in model 1, while Q3 and Q4 had. In model 2 and model 3, Q2-Q4 all had statistical significance when compared to Q1, and their HR values increased from Q2 to Q4. It showed that with the increase of platelet count, the risk of metabolic synthesis increased. Conclusion Elevated platelet count is an independent risk factor for metabolic syndrome.

Key words: Platelet count, Metabolic syndrome, Check-up crowd, Cohort, Cox model

中图分类号: 

  • R589
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