Ho Henrietta, Shi Yuan, Chua Jacqueline, Tham Yih-Chung, Lim Sing Hui, Aung Tin, Wong Tien Yin, Cheng Ching-Yu
Singapore Eye Research Institute, Singapore National Eye Center, Singapore.
Singapore Eye Research Institute, Singapore National Eye Center, Singapore2Ophthalmology and Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore.
JAMA Ophthalmol. 2017 Mar 1;135(3):196-202. doi: 10.1001/jamaophthalmol.2016.5318.
There is limited understanding of the associations between systemic medication use and intraocular pressure (IOP) in the general population.
To examine the association between systemic medication use and IOP in a multiethnic Asian population.
DESIGN, SETTING, AND PARTICIPANTS: In this post hoc analysis of the Singapore Epidemiology of Eye Diseases study, a population-based study of 10 033 participants (78.7% response rate) from 3 racial/ethnic groups (Chinese [recruited from February 9, 2009, through December 19, 2011], Malays [recruited from August 16, 2004, though July 10, 2006], and Indians [recruited from May 21, 2007, through December 29, 2009]), participants with glaucoma, previous ocular surgery, or trauma and an IOP asymmetry greater than 5 mm Hg between eyes were excluded. Intraocular pressure was measured using Goldmann applanation tonometry. An interviewer-administered questionnaire was conducted to collect data on medication and other variables. Data analysis was performed from August 1 through October 31, 2015.
Associations between medication and IOP were assessed using linear regression models adjusted for age, sex, body mass index, ethnicity, and the medical condition for which the medication was taken (angiotensin-converting enzyme inhibitors [ACEIs], angiotensin receptor blockers [ARBs], and β-blockers adjusted for blood pressure, statins adjusted for lipids, and biguanides, sulfonylureas, α-glycosidase inhibitors [AGIs], and insulin adjusted for glycosylated hemoglobin). Medications associated with significant IOP differences were incorporated into regression models adjusted for concomitant use of multiple medications. Generalized estimating equation models were used to account for correlation between eyes.
Of the 10 033 participants, we analyzed 8063 (mean [SD] age, 57.0 [9.6] years; 4107 female [50.9%]; 2680 Chinese [33.2%], 2757 Malay [34.2%], and 2626 Indian [32.6%] individuals). Systemic β-blocker use was independently associated with an IOP of 0.45 mm Hg lower (95% CI, -0.65 to -0.25 mm Hg; P < .001). Conversely, higher mean IOP was associated with use of ACEIs (0.33 mm Hg higher; 95% CI, 0.08 to 0.57 mm Hg; P = .008), ARBs (0.40 mm Hg higher; 95% CI, 0.40-0.75 mm Hg; P = .02), statins (0.21 mm Hg higher; 95% CI, 0.02-0.4 mm Hg; P = .03), and sulfonylureas (0.34 mm Hg higher; 95% CI, 0.05-0.63 mm Hg; P = .02). An interaction between medication classes for additive, synergistic, or antagonistic effects on IOP was not identified.
Although systemic β-blocker use was associated with lower IOP and systemic ACEI, ARB, statin, and sulfonylurea use was associated with higher IOP in this study, the associations were modest at best. Only the associations with systemic hypoglycemic agents were greater than 1 mm Hg, a threshold that has translated to a 14% greater risk of incident glaucoma across 5 years in other studies. At this point, the effect of systemic medication on IOP in eyes with glaucoma is not well elucidated but important. Our findings indicate that patients with glaucoma may potentially be at risk of higher or lower IOP, depending on medication class, and this would in turn affect management of IOP control.
普通人群中对全身用药与眼压(IOP)之间关联的了解有限。
研究多民族亚洲人群中全身用药与眼压之间的关联。
设计、背景和参与者:在新加坡眼病流行病学研究的这项事后分析中,该基于人群的研究有来自3个种族/民族群体(华人[2009年2月9日至2011年12月19日招募]、马来人[2004年8月16日至2006年7月10日招募]和印度人[2007年5月21日至2009年12月29日招募])的10033名参与者(应答率78.7%),排除了患有青光眼、既往眼部手术或外伤以及双眼眼压不对称大于5 mmHg的参与者。使用戈德曼压平眼压计测量眼压。通过访谈者实施的问卷收集用药及其他变量的数据。数据分析于2015年8月1日至10月31日进行。
使用针对年龄、性别、体重指数、种族以及用药所治疗的疾病状况(针对血压调整的血管紧张素转换酶抑制剂[ACEIs]、血管紧张素受体阻滞剂[ARBs]和β受体阻滞剂,针对血脂调整的他汀类药物,以及针对糖化血红蛋白调整的双胍类、磺脲类、α糖苷酶抑制剂[AGIs]和胰岛素)进行调整的线性回归模型评估用药与眼压之间的关联。将与显著眼压差异相关的药物纳入针对多种药物同时使用情况进行调整的回归模型。使用广义估计方程模型来考虑双眼之间的相关性。
在10033名参与者中,我们分析了8063名(平均[标准差]年龄,57.0[9.6]岁;4107名女性[50.9%];2680名华人[33.2%]、2757名马来人[34.2%]和2626名印度人[32.6%]个体)。全身使用β受体阻滞剂与眼压降低0.45 mmHg独立相关(95%置信区间,-0.65至-0.25 mmHg;P<0.001)。相反,较高的平均眼压与使用ACEIs(高0.33 mmHg;95%置信区间,0.08至0.57 mmHg;P=0.008)、ARBs(高0.40 mmHg;95%置信区间,0.40 - 0.75 mmHg;P=0.02)、他汀类药物(高0.21 mmHg;95%置信区间,0.02至0.4 mmHg;P=0.03)和磺脲类药物(高0.34 mmHg;95%置信区间,0.05至0.63 mmHg;P=0.02)相关。未发现药物类别之间对眼压有相加、协同或拮抗作用的相互作用。
尽管在本研究中全身使用β受体阻滞剂与较低眼压相关,而全身使用ACEI、ARB、他汀类药物和磺脲类药物与较高眼压相关,但这些关联充其量是适度的。只有与全身降糖药的关联大于1 mmHg,在其他研究中该阈值转化为5年内发生青光眼风险增加14%。此时,全身用药对青光眼患者眼压的影响尚未完全阐明,但很重要。我们的研究结果表明,青光眼患者可能因药物类别不同而有眼压升高或降低的风险,这反过来会影响眼压控制的管理。