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An association of platelet indices with blood pressure in Beijing adults: Applying quadratic inference function for a longitudinal study

机译:北京成年人血小板指数与血压的关联:应用二次推断函数进行纵向研究

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The quadratic inference function (QIF) method becomes more acceptable for correlated data because of its advantages over generalized estimating equations (GEE). This study aimed to evaluate the relationship between platelet indices and blood pressure using QIF method, which has not been studied extensively in real data settings. A population-based longitudinal study was conducted in Beijing from 2007 to 2012, and the median of follow-up was 6 years. A total of 6515 cases, who were aged between 20 and 65 years at baseline and underwent routine physical examinations every year from 3 Beijing hospitals were enrolled to explore the association between platelet indices and blood pressure by QIF method. The original continuous platelet indices were categorized into 4 levels (Q1-Q4) using the 3 quartiles of P25, P50, and P75 as a critical value. GEE was performed to make a comparison with QIF. After adjusting for age, usage of drugs, and other confounding factors, mean platelet volume was negatively associated with diastolic blood pressure (DBP) (Q4:<^> b = 0.7649, 95% confidence interval/ 1.1313 to 0.3985, P= 0.00004) in males and positively linked with systolic blood pressure (SBP) (Q4: <^> b = 3.1926, 95% CI 2.0853-4.2999, P= 0.00001 in female; <^> b = 1.8477, 95% CI 1.3148-2.3806; P= 0.00001 for male). Platelet distribution width was negatively associated with SBP (Q4: <^> b = 1.5926, 95% CI 2.5921 to 0.5931, P= 0.00179 for female; <^> b = 1.0568, 95% CI 1.5335 to 0.5801, P= 0.00001 for male). Blood platelet count was associated with DBP (Q4: <^> b = 0.4212, 95% CI 0.0200-0.8223, P= 0.03958) in males. Adults in Beijing with prolonged exposure to extreme value of platelet indices have elevated risk for future hypertension and evidence suggesting using some platelet indices for early diagnosis of high blood pressure was provided.
机译:二次推理函数(QIF)方法对于关联数据变得更加可接受,因为它比广义估计方程(GEE)更具优势。这项研究旨在使用QIF方法评估血小板指数与血压之间的关系,但在实际数据设置中尚未对此进行广泛研究。 2007年至2012年在北京进行了基于人群的纵向研究,随访的中位数为6年。总共纳入6515例基线时年龄在20至65岁之间,并每年接受北京3所医院例行体检的患者,以QIF方法探讨血小板指数与血压之间的关系。使用P25,P50和P75的3个四分位数作为临界值,将原始连续血小板指数分为4个级别(Q1-Q4)。进行GEE与QIF进行比较。在调整了年龄,药物使用和其他混杂因素后,平均血小板体积与舒张压(DBP)呈负相关(Q4:b = 0.7649,95%置信区间/ 1.1313至0.3985,P = 0.00004)男性中与收缩压(SBP)正相关(Q4:b = 3.1926,95%CI 2.0853-4.2999,女性P = 0.00001; b = 1.8477,95%CI 1.3148-2.3806; P = 0.00001(男性)。血小板分布宽度与SBP呈负相关(Q4:女性b = 1.5926,95%CI 2.5921至0.5931,P = 0.00179;女性b = 1.0568,95%CI 1.5335至0.5801,P = 0.00001 )。男性的血小板计数与DBP相关(Q4:b = 0.4212,95%CI 0.0200-0.8223,P = 0.03958)。北京的成年人长期暴露于血小板指数的极高值中,未来患高血压的风险增加,并且有证据表明使用某些血小板指数可以早期诊断出高血压。

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