Associations with Intraocular Pressure in a Large Cohort: Results from the UK Biobank.
Associations with Intraocular Pressure in a Large Cohort: Results from the UK Biobank.
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DOI：
10.1016/j.ophtha.2015.11.031
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发表时间：
2016-04
期刊：
影响因子：
13.7
通讯作者：
UK Biobank Eye and Vision Consortium
中科院分区：
文献类型：
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作者：
Chan MP;Grossi CM;Khawaja AP;Yip JL;Khaw KT;Patel PJ;Khaw PT;Morgan JE;Vernon SA;Foster PJ;UK Biobank Eye and Vision Consortium
描述英国队列中身体和人口统计学因素与Goldmann相关性眼内压（IOPg）和角膜代偿性眼内压（IOPcc）的相关性。UK Biobank中的横断面研究，这是一项在英国进行的大规模多中心队列研究。我们纳入了来自英国生物银行的110573名参与者，可获得眼内压（IOP）测量结果。他们的平均年龄为57岁（范围，40-69岁）; 54%为女性，90%为白色。使用眼反应分析仪非接触式眼压计对参与者的每只眼睛进行1次IOP测量。使用线性回归模型评估IOP与身体和人口统计学因素的相关性。IOPg和IOPcc。平均IOPg为15.72 mmHg（95%置信区间[CI]，15.70-15.74 mmHg），平均IOPcc为15.95 mmHg（15.92-15.97 mmHg）。校正协变量后，IOPg和IOPcc均与年龄较大、男性、收缩压（SBP）较高、心率较快、近视程度较大、自我报告的青光眼和寒冷季节显著相关（均P < 0.001）。影响IOPg和IOPcc的最大因素是SBP（部分R2：IOPg 2.30%，IOPcc 2.26%），其次是屈光不正（IOPg 0.60%，IOPcc 1.04%）。以下变量与IOPg和IOPcc的关联方向不同：身高（-0.77 mmHg/m IOPg; 1.03 mmHg/m IOPcc）、吸烟（0.19 mmHg IOPg，-0.35 mmHg IOPcc）、自我报告的糖尿病（0.41 mmHg IOPg，-0.05 mmHg IOPcc）和黑人种族（-0.80 mmHg IOPg，0.77 mmHg IOPcc）。这表明身高、吸烟、糖尿病和种族与角膜生物力学特性有关。随着年龄的增长，IOPg和IOPcc的增加在混合种族中最大，其次是黑人和白人。同一组协变量解释了IOPcc变异性的7.4%，但仅解释了IOPg变异性的5.3%。在一个大型队列中与IOP相关性的分析表明，一些变量与IOPg和IOPcc明显具有不同的相关性，这2种测量值可能反映不同的生物学特征。
To describe the associations of physical and demographic factors with Goldmann-correlated intraocular pressure (IOPg) and corneal-compensated intraocular pressure (IOPcc) in a British cohort. Cross-sectional study within the UK Biobank, a large-scale multisite cohort study in the United Kingdom. We included 110 573 participants from the UK Biobank with intraocular pressure (IOP) measurements available. Their mean age was 57 years (range, 40–69 years); 54% were women, and 90% were white. Participants had 1 IOP measurement made on each eye using the Ocular Response Analyzer noncontact tonometer. Linear regression models were used to assess the associations of IOP with physical and demographic factors. The IOPg and IOPcc. The mean IOPg was 15.72 mmHg (95% confidence interval [CI], 15.70–15.74 mmHg), and the mean IOPcc was 15.95 mmHg (15.92–15.97 mmHg). After adjusting for covariates, IOPg and IOPcc were both significantly associated with older age, male sex, higher systolic blood pressure (SBP), faster heart rate, greater myopia, self-reported glaucoma, and colder season (all P < 0.001). The strongest determinants of both IOPg and IOPcc were SBP (partial R2: IOPg 2.30%, IOPcc 2.26%), followed by refractive error (IOPg 0.60%, IOPcc 1.04%). The following variables had different directions of association with IOPg and IOPcc: height (−0.77 mmHg/m IOPg; 1.03 mmHg/m IOPcc), smoking (0.19 mmHg IOPg, −0.35 mmHg IOPcc), self-reported diabetes (0.41 mmHg IOPg, −0.05 mmHg IOPcc), and black ethnicity (−0.80 mmHg IOPg, 0.77 mmHg IOPcc). This suggests that height, smoking, diabetes, and ethnicity are related to corneal biomechanical properties. The increase in both IOPg and IOPcc with age was greatest among those of mixed ethnicities, followed by blacks and whites. The same set of covariates explained 7.4% of the variability of IOPcc but only 5.3% of the variability of IOPg. This analysis of associations with IOP in a large cohort demonstrated that some variables clearly have different associations with IOPg and IOPcc, and that these 2 measurements may reflect different biological characteristics.