Associations with Intraocular Pressure in a Large Cohort: Results from the UK Biobank

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• 作者：Michelle P.Y. Chan ; FRCOphth¹ ; Carlota M. Grossi ; PhD¹ ; Anthony P. Khawaja ; PhD ; FRCOphth² ; Jennifer L.Y. Yip ; PhD ; MRCOphth² ; Kay-Tee Khaw ; MBBChir ; FRCP² ; Praveen J. Patel ; FRCOphth ; MD(Res)¹ ; Peng T. Khaw ; PhD ; FRCOphth¹ ; James E. Morgan ; DPhil ; FRCOphth³ ; Stephen A. Vernon ; DM ; FRCOphth⁴ ; Paul J. Foster ; PhD ; FRCOphth¹ ; ^{p.foster@ucl.ac.uk" class="auth_mail" title="E-mail the corresponding author} ; on behalf of the UK Biobank Eye ; Vision Consortium^&lowast ;
• 关键词：BMI ; body mass index ; CCT ; central corneal thickness ; CI ; confidence interval ; DBP ; diastolic blood pressure ; IOP ; intraocular pressure ; IOPcc ; corneal-compensated intraocular pressure ; IOPg ; Goldmann-correlated intraocular pressure ; OAG ; open-angle glaucoma ; ORA ; Ocular Response Analyzer ; SBP ; systolic blood pressure
• 刊名：Ophthalmology
• 出版年：2016
• 出版时间：April 2016
• 年：2016
• 卷：123
• 期：4
• 页码：771-782
• 全文大小：925 K

文摘

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.

Design

Cross-sectional study within the UK Biobank, a large-scale multisite cohort study in the United Kingdom.

Participants

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.

Methods

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.

Main Outcome Measures

The IOPg and IOPcc.

Results

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.

Conclusions

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.