1
|
Moghadas Sharif N, Hoseini-Yazdi H, Daneshvar R, Radhakrishnan H, Shoeibi N, Ehsaei A, Collins MJ. Seasonal variations in anterior segment angle parameters in myopes and emmetropes. Clin Exp Optom 2023:1-7. [PMID: 37751623 DOI: 10.1080/08164622.2023.2251478] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Accepted: 04/17/2023] [Indexed: 09/28/2023] Open
Abstract
CLINICAL RELEVANCE Seasonal variations are known to occur in a range of ocular parameters and in conditions including refractive error and glaucoma. It is of clinical importance to know if seasonal changes also occur in anterior segment angle parameters, given that they can influence these conditions. BACKGROUND The study aimed to examine the seasonal variations in anterior segment angle parameters in healthy young adults. METHODS Twenty-three emmetropic participants with a mean age of 26.17 ± 4.43 years and 22 myopic participants with a mean age of 27.27 ± 4.47 years completed four seasons of data collection. Anterior segment angle parameters were measured using swept-source anterior segment optical coherence tomography. Intraocular pressure (IOP) and objective refraction were also measured. Repeated-measures analysis of variance was used to determine the effect of season and refractive error on the various ocular parameters. RESULTS A significant main effect of season was found for the majority of anterior segment angle parameters, including the angle opening distance at 500 and 750 µm from the scleral spur (p = 0.02, p = 0.006, respectively), angle recess area at 500 and 750 µm from the scleral spur (both p = 0.002), and trabecular iris space area at 500 and 750 µm from the scleral (p = 0.02, p = 0.008, respectively). However, measures of anterior chamber depth and trabecular iris angle did not exhibit statistically significant seasonal variations (all p > 0.05). A significant main effect of season was also found for the changes in IOP (p = 0.004) and objective refraction (p < 0.001). There was no season by refractive group interaction for any anterior segment angle parameter or IOP (all p > 0.05). CONCLUSION There is a small but significant seasonal changes in the anterior segment angle parameters, refractive error, and IOP in healthy young adult males, in which the anterior segment angle dimensions are narrower, the IOP is higher, and the refraction is more myopic during winter.
Collapse
Affiliation(s)
- Nasrin Moghadas Sharif
- Department of Optometry, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Optometry and Visual Science, University of London, London, UK
| | - Hosein Hoseini-Yazdi
- Contact Lens and Visual Optics Laboratory, Queensland University of Technology, Brisbane, Queensland, Australia
| | - Ramin Daneshvar
- Eye Research Centre, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Ophthalmology, University of Florida, Gainesville, FL, USA
| | | | - Nasser Shoeibi
- Eye Research Centre, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Asieh Ehsaei
- Department of Optometry, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Optometry and Visual Science, University of London, London, UK
| | - Michael J Collins
- Contact Lens and Visual Optics Laboratory, Queensland University of Technology, Brisbane, Queensland, Australia
| |
Collapse
|
2
|
Seasonal Variation and Trend of Intraocular Pressure Decrease Over a 20-Year Period in Normal-Tension Glaucoma Patients. Am J Ophthalmol 2022; 234:235-240. [PMID: 34648775 DOI: 10.1016/j.ajo.2021.10.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 10/04/2021] [Accepted: 10/06/2021] [Indexed: 11/22/2022]
Abstract
PURPOSE To investigate the trend of seasonal variation of intraocular pressure (IOP) in patients with normal-tension glaucoma over a 20-year period by retrospectively analyzing the Kyoto Prefectural University of Medicine Glaucoma Registry database as real-world data. DESIGN Retrospective cohort study. METHODS Data points (n = 49,007) were extracted retrospectively from the medical records of 1774 patients with normal-tension glaucoma (665 male patients and 1109 female patients; mean ± SD age was 59.8 ± 14.4 years; and mean ± SD observation period was 5.6 ± 4.4 years) seen over the 20-year period. We first calculated the mean IOP from all available data of each month from January 1997 through December 2016. The data were then categorized into 5 groups of 4 consecutive years each (1997-2000, 2001-2004, 2005-2008, 2009-2012, and 2013-2016) and the mean IOP of each month within the group was calculated. Seasonal variations of IOP over the 20-year study period and in the 5 consecutive groups were then investigated via nonlinear multiple regression analysis. RESULTS A continuous decrease of IOP was detected throughout the 20-year period (P < .001), with distinct seasonal variation. The annual mean ± SD IOP was highest (13.9 ± 2.7 mm Hg) in the oldest group (1997-2000), with a gradual decrease in each subsequent group, finally becoming lowest (12.3 ± 2.7 mm Hg) in the most recent group (2013-2016) (P < .001), and all of them were accompanied by distinct seasonal variation (P < .001). CONCLUSIONS Based on the Kyoto Prefectural University of Medicine Glaucoma Registry real-world longitudinal data, our findings revealed a continuous decrease and distinct seasonal variation of IOP in patients with normal-tension glaucoma throughout the 20-year study period.
Collapse
|
3
|
Liao N, Xie YQ, Mao GY, Bao FJ, Lin Z, Jiang HL, Liang YB. Observation seasonal variation of intraocular pressure in young healthy volunteers. Int J Ophthalmol 2022; 15:59-64. [PMID: 35047357 DOI: 10.18240/ijo.2022.01.09] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Accepted: 12/19/2020] [Indexed: 11/23/2022] Open
Abstract
AIM To investigate fluctuation of intraocular pressure (IOP) and seasonal variation of 24-hour IOP during one year in healthy participants. METHODS Totally 13 young healthy volunteers participated in this study. IOP was measured with Canon TX-20 at about 8:00-9:00 a.m. from Monday to Friday every week for a whole year. They also underwent 24-hour IOP examination every three months. Blood pressure, heart rate, temperature, humidity, atmosphere pressure, sunshine duration and other environment parameters were recorded. RESULTS The yearly fluctuation curve showed IOP in the summer months were lower than other seasons. In the multivariable generalized estimating equation analysis, IOP had a negative correlation with both temperature and sunshine duration (P<0.05). There also was a seasonal effect on 24-hour IOP. However, all intraclass correlation coefficients values of minimum, maximum and average of the 24-hour IOP and each individual IOP were less than 0.30. CONCLUSION IOP is trend to be higher in cold days than warm days. IOP have negative association with both environmental temperature and duration of sunshine. On a season-to-season basis, 24-hour IOP is not highly reproducible in healthy volunteers.
Collapse
Affiliation(s)
- Na Liao
- The Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
| | - Yan-Qian Xie
- The Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
| | - Guang-Yun Mao
- The Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
| | - Fan-Jun Bao
- The Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
| | - Zhong Lin
- The Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
| | - Hui-Lyu Jiang
- The Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
| | - Yuan-Bo Liang
- The Eye Hospital, School of Optometry and Ophthalmology, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China.,Glaucoma Institute, Wenzhou Medical University, Wenzhou 325027, Zhejiang Province, China
| |
Collapse
|
4
|
Morettin CE, Roberts DK, Newman TL, Yang Y, McMahon JM, Roberts MF, Teitelbaum BA, Winters JE. Time-of-Year Variation in Intraocular Pressure. J Glaucoma 2021; 30:952-962. [PMID: 34402464 PMCID: PMC8563404 DOI: 10.1097/ijg.0000000000001930] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2021] [Accepted: 07/29/2021] [Indexed: 11/26/2022]
Abstract
PRÉCIS In this study conducted in Chicago, IL, intraocular pressure (IOP) level was found to have a subtle, but measurable, annual pattern. Reasonable evidence is presented for a time-of-year variation in IOP. Adequate numbers of subjects must be studied to detect this small variation. PURPOSE The aim was to investigate the relationship between IOP and time of year. METHODS During a separate investigation, patients from 2011 to 2018 (dataset A, N=3041) in an urban, academic facility in Chicago, IL received an examination that included Goldmann applanation tonometry. Regression analyses assessed the relationship between time of year and IOP. Two additional datasets, 1 collected in a similar manner during 1999 and 2002 (dataset B, N=3261) and another consisting of all first visits during 2012 and 2017 (dataset C, N=69,858), were used to confirm and further investigate trends. RESULTS For dataset A, peak mean IOP occurred in December/January (15.7±3.7/15.7±3.8 mm Hg) and lowest in September (14.5±3.1 mm Hg). The analysis suggested conventional quarterly analysis (January to March, etc.) can conceal time-of-year relationships because of inadequate statistical power and timing of IOP variation. Multiple linear regression analysis, with a November-to-October reordering, detected an annual, downward IOP trend (P<0.0001). Analysis of dataset B confirmed this trend (P<0.001). Fourier analysis on datasets A and B combined supported a 12-month IOP cycle for right/left eyes (P=0.01/P=0.005) and dataset C provided stronger evidence for an annual periodicity (P<0.0001). Harmonics analysis of dataset C showed a repeating pattern where IOP trended downward around April, and then back upward around October. CONCLUSIONS This analysis strongly supports a demonstrable annual, cyclical IOP pattern with a trough to peak variation of ≈1 mm Hg, which has a seasonal relationship.
Collapse
Affiliation(s)
- Christina E. Morettin
- Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL, USA
| | - Daniel K. Roberts
- Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL, USA
- University of Illinois at Chicago, School of Medicine, Department of Ophthalmology and Visual Sciences, Chicago, IL, USA
- University of Illinois at Chicago, School of Public Health, Division of Epidemiology and Biostatistics, Chicago, IL, USA
| | - Tricia L. Newman
- Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL, USA
| | - Yongyi Yang
- Illinois Institute of Technology, Department of Electrical and Computer Engineering, Chicago, IL, USA
| | - Janice M. McMahon
- Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL, USA
| | - Mary Flynn Roberts
- Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL, USA
| | - Bruce A. Teitelbaum
- Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL, USA
| | - Janis E. Winters
- Illinois Eye Institute, Illinois College of Optometry, Department of Clinical Education, Chicago, IL, USA
| |
Collapse
|
5
|
Seasonal fluctuation in intraocular pressure and its associated factors in primary open-angle glaucoma. Eye (Lond) 2021; 35:3325-3332. [PMID: 33526849 DOI: 10.1038/s41433-021-01403-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 12/04/2020] [Accepted: 01/13/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND/OBJECTIVES To evaluate seasonal fluctuations in intraocular pressure (IOP) in primary open-angle glaucoma (POAG) and its associated factors. SUBJECTS/METHODS POAG patients treated only with glaucoma eye drops were enroled. Winter and summer IOPs were evaluated. The Seasonal fluctuation rate of IOP was defined as follows: (mean winter IOP-mean summer IOP)/mean IOP in all seasons. Multiple linear regression analysis was used to explore factors associated with the seasonal IOP fluctuation rate including: age, gender, family history of glaucoma, type of glaucoma, number of eye drops, type of eye drops, mean deviation (MD) value, MD slope, disc haemorrhage, central corneal thickness and spherical equivalent. RESULTS Winter IOP was higher than summer IOP in 204 POAG eyes of 204 patients, including 162 eyes with normal tension glaucoma (NTG) (13.2 ± 2.7 vs. 12.0 ± 2.3 mmHg, P < 0.001). The mean age and follow-up duration were 63.3 ± 11.4 years and 140.0 ± 66.9 months. Initial MD and MD slope were -2.1 ± 3.4 dB and -0.07 ± 0.50 dB/year, respectively. POAG was positively associated with the rate of seasonal IOP fluctuations compared to NTG (β = 5.29, P = 0.013). Family history, and timolol and carteolol use were also factors associated with the IOP fluctuation rate (β = -6.27, P = 0.007; β = 4.94, P = 0.030; and β = 4.51, P = 0.042, respectively). CONCLUSIONS We confirmed seasonal IOP fluctuations in POAG. Type of glaucoma, family history of glaucoma, and β-blocker use might influence IOP fluctuations.
Collapse
|
6
|
Ma J, Zhao L, Yang Y, Yun D, Yu-Wai-Man P, Zhu Y, Chen C, Li JPO, Li M, Zhang Y, Cui T, Meng X, Zhang L, Zhang J, Song Y, Lei Y, Liu J, Huangfu X, Jiang L, Cai J, Wu H, Shang L, Wen D, Yi X, Zhang Y, Li X, Xiao J, He R, Yang Y, Yang J, Cheng GPM, Bai J, Zhong X, Guo H, Yan P, Wang Y, Lin H. Associations Between Regional Environment and Cornea-Related Morphology of the Eye in Young Adults: A Large-Scale Multicenter Cross-Sectional Study. Invest Ophthalmol Vis Sci 2021; 62:35. [PMID: 33620373 PMCID: PMC7910644 DOI: 10.1167/iovs.62.2.35] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
Purpose To investigate environmental factors associated with corneal morphologic changes. Methods A cross-sectional study was conducted, which enrolled adults of the Han ethnicity aged 18 to 44 years from 20 cities. The cornea-related morphology was measured using an ocular anterior segment analysis system. The geographic indexes of each city and meteorological indexes of daily city-level data from the past 40 years (1980-2019) were obtained. Correlation analyses at the city level and multilevel model analyses at the eye level were performed. Results In total, 114,067 eyes were used for analysis. In the correlation analyses at the city level, the corneal thickness was positively correlated with the mean values of precipitation (highest r [correlation coefficient]: >0.700), temperature, and relative humidity (RH), as well as the amount of annual variation in precipitation (r: 0.548 to 0.721), and negatively correlated with the mean daily difference in the temperature (DIF T), duration of sunshine, and variance in RH (r: -0.694 to 0.495). In contrast, the anterior chamber (AC) volume was negatively correlated with the mean values of precipitation, temperature, RH, and the amount of annual variation in precipitation (r: -0.672 to -0.448), and positively associated with the mean DIF T (r = 0.570) and variance in temperature (r = 0.507). In total 19,988 eyes were analyzed at the eye level. After adjusting for age, precipitation was the major explanatory factor among the environmental factors for the variability in corneal thickness and AC volume. Conclusions Individuals who were raised in warm and wet environments had thicker corneas and smaller AC volumes than those from cold and dry ambient environments. Our findings demonstrate the role of local environmental factors in corneal-related morphology.
Collapse
Affiliation(s)
- Jiaonan Ma
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science Tianjin Eye Institute, Nankai University Affiliated Eye Hospital, Tianjin, China
| | - Lanqin Zhao
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China
| | - Yahan Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China
| | - Dongyuan Yun
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China
| | - Patrick Yu-Wai-Man
- Cambridge Centre for Brain Repair and MRC Mitochondrial Biology Unit, Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
- Cambridge Eye Unit, Addenbrooke's Hospital, Cambridge University Hospitals, Cambridge, United Kingdom
- Moorfields Eye Hospital, London, United Kingdom
- UCL Institute of Ophthalmology, University College London, London, United Kingdom
| | - Yi Zhu
- Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, United States
| | - Chuan Chen
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, United States
| | - Ji-Peng Olivia Li
- Moorfields Eye Hospital NHS Foundation Trust, London, United Kingdom
| | - Mengdi Li
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science Tianjin Eye Institute, Nankai University Affiliated Eye Hospital, Tianjin, China
| | - Yan Zhang
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science Tianjin Eye Institute, Nankai University Affiliated Eye Hospital, Tianjin, China
| | - Tingxin Cui
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China
| | - Xiangbing Meng
- Institute of Automation Chinese Academy of Sciences, Beijing, China
| | - Lin Zhang
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science Tianjin Eye Institute, Nankai University Affiliated Eye Hospital, Tianjin, China
| | - Jiamei Zhang
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science Tianjin Eye Institute, Nankai University Affiliated Eye Hospital, Tianjin, China
| | - Yi Song
- Clinical College of Ophthalmology, Tianjin Medical University, Tianjin, China
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science Tianjin Eye Institute, Nankai University Affiliated Eye Hospital, Tianjin, China
| | - Yulin Lei
- Jinan Mingshui Eye Hospital, Jinan, China
| | | | | | - Li Jiang
- Nanjing Aier Eye Hospital, Nanjing, China
| | | | - Huiying Wu
- Nanchang Bright Eye Hospital, Nanchang, Jiangxi, China
| | | | - Dan Wen
- Xiangya Hospital, Central South University, Changsha, China
| | - Xianglong Yi
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yan Zhang
- The Second Hospital of Jilin University, Changchun, China
| | - Xin Li
- Xiamen Eye Centre of Xiamen University, Xiamen, China
| | - Jing Xiao
- Beijing Huade Eye Hospital, Beijing, China
| | - Rui He
- Shanxi Eye Hospital, Taiyuan, China
| | - Yang Yang
- Yan'an Hospital of Kunming City, Kunming, China
| | - Jun Yang
- Gansu Provincial Hospital, Lanzhou, China
| | | | - Ji Bai
- Daping Hospital, Chongqing, China
| | - Xingwu Zhong
- Hainan Eye Hospital, Zhongshan Ophthalmic Centre, Sun Yat-Sen University, Haikou, China
| | - Hua Guo
- Baotou Eighth Hospital, Baotou, China
| | - Pisong Yan
- Cloud Intelligent Care Technology (Guangzhou) Co., Ltd., Guangzhou, China
| | - Yan Wang
- Tianjin Eye Hospital, Tianjin Key Laboratory of Ophthalmology and Visual Science Tianjin Eye Institute, Nankai University Affiliated Eye Hospital, Tianjin, China
| | - Haotian Lin
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China
- Centre for Precision Medicine, Sun Yat-sen University, Guangzhou, China
| |
Collapse
|
7
|
Terauchi R, Ogawa S, Noro T, Ito K, Kato T, Tatemichi M, Nakano T. Seasonal Fluctuation in Intraocular Pressure and Retinal Nerve Fiber Layer Thinning in Primary Open-Angle Glaucoma. Ophthalmol Glaucoma 2020; 4:373-381. [PMID: 33242683 DOI: 10.1016/j.ogla.2020.11.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 10/29/2020] [Accepted: 11/12/2020] [Indexed: 11/20/2022]
Abstract
PURPOSE To detect seasonal fluctuations in intraocular pressure (IOP) in healthy eyes and eyes with primary open-angle glaucoma (POAG) and to evaluate whether these seasonal fluctuations affect retinal nerve fiber layer (RNFL) thinning in eyes with POAG. DESIGN Observational, retrospective cohort study. PARTICIPANTS Healthy population who underwent a comprehensive health check-up and patients with POAG using only topical medications were enrolled. METHODS Kaplan-Meier survival analysis was used to compare the cumulative incidence probabilities of RNFL thinning between different seasonal IOP fluctuation groups. A Cox proportional hazards model, with adjustments for potential confounding factors, was used to evaluate the association between seasonal fluctuations in IOP and RNFL thinning. MAIN OUTCOME MEASURES Intraocular pressure fluctuation rate calculated from winter and summer IOPs and RNFL thinning as determined by event-based analysis with high-definition OCT. RESULTS A total of 12 686 healthy eyes and 179 eyes of 179 POAG patients showed a significantly higher IOP in winter than in summer (healthy, 13.2 ± 3.0 mmHg vs. 12.5 ± 2.9 mmHg [P < 0.001]; POAG, 13.1 ± 2.7 mmHg vs. 11.8 ± 2.3 mmHg [P < 0.001]). In POAG patients, the mean age at initial OCT and follow-up duration were 55.1 ± 11.7 years and 98.4 ± 26.4 months, respectively. The mean deviation (MD) at first visit, MD slope, and RNFL thinning rate were -2.2 ± 3.4 dB, -0.07 ± 0.44 dB/year, and -0.44 ± 0.88 μm/year, respectively. During the study period, 85 eyes (47.5%) showed RNFL thinning progression. Kaplan-Meier analysis showed that a high seasonal IOP fluctuation rate significantly suppressed RNFL thinning (P < 0.05, log-rank test). After adjusting for confounders in the Cox analysis, the seasonal IOP fluctuation rate still showed a significantly negative association with RNFL thinning (hazard ratio, 0.98; 95% confidence interval, 0.96-0.99; P = 0.005). CONCLUSIONS Winter IOP was higher than summer IOP in both healthy and POAG eyes. The temporary IOP decline in summer, rather than a constant IOP throughout the year, may prevent glaucoma progression.
Collapse
Affiliation(s)
- Ryo Terauchi
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan.
| | - Shumpei Ogawa
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takahiko Noro
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan
| | - Kyoko Ito
- Center for Preventive Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Tomohiro Kato
- Center for Preventive Medicine, The Jikei University School of Medicine, Tokyo, Japan
| | - Masayuki Tatemichi
- Department of Preventive Medicine, Tokai University School of Medicine, Isehara, Japan
| | - Tadashi Nakano
- Department of Ophthalmology, The Jikei University School of Medicine, Tokyo, Japan
| |
Collapse
|
8
|
Ayaki M, Negishi K, Yuki K, Kawashima M, Uchino M, Tsubota K. Tear Break-Up Time and Seasonal Variation in Intraocular Pressure in a Japanese Population. Diagnostics (Basel) 2020; 10:E124. [PMID: 32102457 PMCID: PMC7167993 DOI: 10.3390/diagnostics10020124] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 02/17/2020] [Accepted: 02/22/2020] [Indexed: 11/25/2022] Open
Abstract
PURPOSE To evaluate seasonal variation in intraocular pressure (IOP) with and without short tear break-up time (SBUT, BUT ≤5 s) since dry eye and IOP are known to have seasonal variation. METHODS This study enrolled 176 patients who visited one of six eye clinics, in Japan, four times for IOP measurement, in every season. The mean patient age was 67.9 years, including 79 males. Participants were divided into four groups based on the presence of glaucoma and/or SBUT and we compared the seasonal variation in IOP (winter and summer) among the four groups. RESULTS The IOP (mmHg) in winter and summer, respectively, was 12.8 ± 3.7 and 12.8 ± 3.1 for non-glaucoma patients without SBUT (n = 47, p = 0.964), 14.8 ± 3.4 and 13.3 ± 3.4 for non-glaucoma patients with SBUT (n = 57, p < 0.001), 14.3 ± 3.2 and 14.1 ± 3.4 for glaucoma patients without SBUT (n = 36, p = 0.489), and 13.3 ± 3.0 and 11.6 ± 2.9 for glaucoma with SBUT (n = 36, p < 0.001). Seasonal variation was largest across the seasons in the glaucoma with the SBUT group, and the magnitude of seasonal variation correlated with BUT (β = 0.228, p = 0.003). CONCLUSIONS Seasonal variation tended to be larger in patients with SBUT than those without SBUT.
Collapse
Affiliation(s)
- Masahiko Ayaki
- Otake Clinic Moon View Eye Center, Yamato 2420001, Japan
- Department of Ophthalmology, Keio University School of Medicine, Tokyo 1608582, Japan; (K.Y.); (M.K.); (M.U.); (K.T.)
| | - Kazuno Negishi
- Department of Ophthalmology, Keio University School of Medicine, Tokyo 1608582, Japan; (K.Y.); (M.K.); (M.U.); (K.T.)
| | - Kenya Yuki
- Department of Ophthalmology, Keio University School of Medicine, Tokyo 1608582, Japan; (K.Y.); (M.K.); (M.U.); (K.T.)
| | - Motoko Kawashima
- Department of Ophthalmology, Keio University School of Medicine, Tokyo 1608582, Japan; (K.Y.); (M.K.); (M.U.); (K.T.)
| | - Miki Uchino
- Department of Ophthalmology, Keio University School of Medicine, Tokyo 1608582, Japan; (K.Y.); (M.K.); (M.U.); (K.T.)
| | - Kazuo Tsubota
- Department of Ophthalmology, Keio University School of Medicine, Tokyo 1608582, Japan; (K.Y.); (M.K.); (M.U.); (K.T.)
| |
Collapse
|
9
|
Reina-Torres E, Bertrand JA, O'Callaghan J, Sherwood JM, Humphries P, Overby DR. Reduced humidity experienced by mice in vivo coincides with reduced outflow facility measured ex vivo. Exp Eye Res 2019; 186:107745. [PMID: 31351057 DOI: 10.1016/j.exer.2019.107745] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2019] [Revised: 07/05/2019] [Accepted: 07/23/2019] [Indexed: 11/16/2022]
Abstract
Mice are routinely used to study aqueous humour dynamics. However, physical factors such as temperature and hydration affect outflow facility in enucleated eyes. This retrospective study examined whether differences in temperature and relative humidity experienced by living mice within their housing environment in vivo coincide with differences in outflow facility measured ex vivo. Facility data and environmental records were collected for one enucleated eye from 116 mice (C57BL/6J males, 9-15 weeks old) at two institutions. Outflow facility was reduced when relative humidity was below the lower limit of 45% recommended by the UK Code of Practice, but there was no detectable effect of temperature on outflow facility. Even when accounting for effects of humidity, there were differences in outflow facility measured between institutions and between individual researchers at the same institution. These data indicate that humidity, as well as additional environmental factors experienced by living mice within their housing environment, may significantly affect outflow facility measured ex vivo.
Collapse
Affiliation(s)
- Ester Reina-Torres
- Department of Bioengineering, Imperial College London, London, United Kingdom; Ocular Genetics Unit, Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin, Ireland
| | - Jacques A Bertrand
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Jeffrey O'Callaghan
- Ocular Genetics Unit, Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin, Ireland
| | - Joseph M Sherwood
- Department of Bioengineering, Imperial College London, London, United Kingdom
| | - Peter Humphries
- Ocular Genetics Unit, Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin, Ireland
| | - Darryl R Overby
- Department of Bioengineering, Imperial College London, London, United Kingdom.
| |
Collapse
|
10
|
Jasien JV, Turner DC, Girkin CA, Downs JC. Cyclic Pattern of Intraocular Pressure (IOP) and Transient IOP Fluctuations in Nonhuman Primates Measured with Continuous Wireless Telemetry. Curr Eye Res 2019; 44:1244-1252. [PMID: 31170817 DOI: 10.1080/02713683.2019.1629594] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
Abstract
Purpose: Most studies on intraocular pressure (IOP) to monitor IOP "fluctuations" in glaucoma patients have been performed with snapshot tonometry techniques that obtain IOP measurements at single time points weeks to months apart. However, IOP telemetry has shown that IOP varies from second-to-second due to blinks, saccades, and systolic vascular filling. The purpose of this study was to characterize the cyclic pattern of baseline IOP and transient IOP fluctuations in 3 nonhuman primates (NHPs).Methods: Bilateral IOP was measured using a proven implantable telemetry system and recorded 500 times per second, 24 hours a day, up to 451 continuous days in 3 male rhesus macaques aged 4 to 5 years old. The IOP transducers were calibrated every two weeks via anterior chamber cannulation manometry and all data were continuously corrected for signal drift via software, filtered for signal noise and dropout, and peaks and troughs were quantified and counted using a finite impulse response filter; waking hours were defined as 6:00-18:00 hours based on room light cycle.Results: Fourier transform analyses of baseline IOP and the hourly mean frequency of transient IOP fluctuations > 0.6 mmHg, 0.6-5 mmHg and > 5 mmHg above baseline during waking hours exhibited an approximate 16- to 91-day cyclic pattern in all NHPs. There were no measured environmental or experimental factors associated with this cyclical pattern.Conclusions: While the importance of the cyclic pattern identified in IOP and its fluctuations is unknown at this time, it is plausible that this pattern is relevant to both homeostasis and pathophysiology of the ONH, corneoscleral shell, and aqueous outflow pathways.
Collapse
Affiliation(s)
- Jessica V Jasien
- Vision Science Graduate Program, School of Optometry, University of Alabama at Birmingham, Birmingham USA
| | - Daniel C Turner
- Vision Science Graduate Program, School of Optometry, University of Alabama at Birmingham, Birmingham USA
| | - Christopher A Girkin
- Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham USA
| | - J Crawford Downs
- Ophthalmology and Visual Sciences, School of Medicine, University of Alabama at Birmingham, Birmingham USA
| |
Collapse
|
11
|
Aschard H, Kang JH, Iglesias AI, Hysi P, Cooke Bailey JN, Khawaja AP, Allingham RR, Ashley-Koch A, Lee RK, Moroi SE, Brilliant MH, Wollstein G, Schuman JS, Fingert JH, Budenz DL, Realini T, Gaasterland T, Scott WK, Singh K, Sit AJ, Igo RP, Song YE, Hark L, Ritch R, Rhee DJ, Gulati V, Haven S, Vollrath D, Zack DJ, Medeiros F, Weinreb RN, Cheng CY, Chasman DI, Christen WG, Pericak-Vance MA, Liu Y, Kraft P, Richards JE, Rosner BA, Hauser MA, Klaver CCW, vanDuijn CM, Haines J, Wiggs JL, Pasquale LR. Genetic correlations between intraocular pressure, blood pressure and primary open-angle glaucoma: a multi-cohort analysis. Eur J Hum Genet 2017; 25:1261-1267. [PMID: 28853718 DOI: 10.1038/ejhg.2017.136] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 07/18/2017] [Accepted: 07/21/2017] [Indexed: 01/30/2023] Open
Abstract
Primary open-angle glaucoma (POAG) is the most common chronic optic neuropathy worldwide. Epidemiological studies show a robust positive relation between intraocular pressure (IOP) and POAG and modest positive association between IOP and blood pressure (BP), while the relation between BP and POAG is controversial. The International Glaucoma Genetics Consortium (n=27 558), the International Consortium on Blood Pressure (n=69 395), and the National Eye Institute Glaucoma Human Genetics Collaboration Heritable Overall Operational Database (n=37 333), represent genome-wide data sets for IOP, BP traits and POAG, respectively. We formed genome-wide significant variant panels for IOP and diastolic BP and found a strong relation with POAG (odds ratio and 95% confidence interval: 1.18 (1.14-1.21), P=1.8 × 10-27) for the former trait but no association for the latter (P=0.93). Next, we used linkage disequilibrium (LD) score regression, to provide genome-wide estimates of correlation between traits without the need for additional phenotyping. We also compared our genome-wide estimate of heritability between IOP and BP to an estimate based solely on direct measures of these traits in the Erasmus Rucphen Family (ERF; n=2519) study using Sequential Oligogenic Linkage Analysis Routines (SOLAR). LD score regression revealed high genetic correlation between IOP and POAG (48.5%, P=2.1 × 10-5); however, genetic correlation between IOP and diastolic BP (P=0.86) and between diastolic BP and POAG (P=0.42) were negligible. Using SOLAR in the ERF study, we confirmed the minimal heritability between IOP and diastolic BP (P=0.63). Overall, IOP shares genetic basis with POAG, whereas BP has limited shared genetic correlation with IOP or POAG.
Collapse
Affiliation(s)
- Hugues Aschard
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, MA, USA
| | - Jae H Kang
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Adriana I Iglesias
- Department of Epidemiology, Genetic Epidemiology Unit, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Pirro Hysi
- Department of Twin Research and Genetic Epidemiology, King's College London, London, UK
| | - Jessica N Cooke Bailey
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA.,Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Anthony P Khawaja
- Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - R Rand Allingham
- Department of Ophthalmology, Duke University Medical Center, Durham, NC, USA
| | | | - Richard K Lee
- Bascom Palmer Eye Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sayoko E Moroi
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Murray H Brilliant
- Center for Human Genetics, Marshfield Clinic Research Foundation, Marshfield, WI, USA
| | - Gadi Wollstein
- Department of Ophthalmology, NYU Langone Medical Center, NYU School of Medicine, New York, NY, USA
| | - Joel S Schuman
- Department of Ophthalmology, NYU Langone Medical Center, NYU School of Medicine, New York, NY, USA
| | - John H Fingert
- Departments of Ophthalmology and Anatomy/Cell Biology, University of Iowa, College of Medicine, Iowa City, IO, USA
| | - Donald L Budenz
- Department of Ophthalmology, University of North Carolina, Chapel Hill, NC, USA
| | - Tony Realini
- Department of Ophthalmology, WVU Eye Institute, Morgantown, WV, USA
| | - Terry Gaasterland
- Scripps Genome Center, University of California at San Diego, San Diego, CA, USA
| | - William K Scott
- Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Kuldev Singh
- Department of Ophthalmology, Stanford University, Palo Alto, CA, USA
| | - Arthur J Sit
- Department of Ophthalmology, Mayo Clinic, Rochester, MN, USA
| | - Robert P Igo
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Yeunjoo E Song
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA.,Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Lisa Hark
- Wills Eye Hospital, Glaucoma Research Center, Philadelphia, PA, USA
| | - Robert Ritch
- Einhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA
| | - Douglas J Rhee
- Department of Ophthalmology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vikas Gulati
- Department of Ophthalmology &Visual Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | - Shane Haven
- Department of Ophthalmology &Visual Sciences, University of Nebraska Medical Center, Omaha, NE, USA
| | | | - Donald J Zack
- Wilmer Eye Institute, Johns Hopkins University Hospital, Baltimore, MD, USA
| | - Felipe Medeiros
- Department of Ophthalmology, Hamilton Eye Center, University of California at San Diego, San Diego, CA, USA
| | - Robert N Weinreb
- Department of Ophthalmology, Hamilton Eye Center, University of California at San Diego, San Diego, CA, USA
| | - Ching-Yu Cheng
- Singapore National Eye Centre, Singapore Eye Research Institute, Singapore, Singapore.,Ophthalmology &Visual Sciences Academic Clinical Program (Eye ACP), Duke-NUS Medical School, Singapore, Singapore.,Department of Ophthalmology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - William G Christen
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Yutao Liu
- Department of Cellular Biology &Anatomy, Augusta University, Augusta, GA, USA
| | - Peter Kraft
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, MA, USA.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, MA, USA
| | - Julia E Richards
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA
| | - Bernard A Rosner
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Harvard Medical School, Boston, MA, USA.,Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Michael A Hauser
- Department of Ophthalmology, Duke University Medical Center, Durham, NC, USA.,Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | | | - Caroline C W Klaver
- Department of Epidemiology, Genetic Epidemiology Unit, Erasmus Medical Center, Rotterdam, The Netherlands.,Department of Ophthalmology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Cornelia M vanDuijn
- Department of Epidemiology, Genetic Epidemiology Unit, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Jonathan Haines
- Department of Epidemiology and Biostatistics, Case Western Reserve University School of Medicine, Cleveland, OH, USA.,Institute for Computational Biology, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Janey L Wiggs
- Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| | - Louis R Pasquale
- Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.,Department of Ophthalmology, Massachusetts Eye and Ear Infirmary, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
12
|
Cheng J, Xiao M, Xu H, Fang S, Chen X, Kong X, Sun X. Seasonal changes of 24-hour intraocular pressure rhythm in healthy Shanghai population. Medicine (Baltimore) 2016; 95:e4453. [PMID: 27495076 PMCID: PMC4979830 DOI: 10.1097/md.0000000000004453] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
The aim of the present study was to investigate and compare the 24-hour intraocular pressure (IOP) rhythms in winter and summer in the healthy population of Shanghai, China.This is a cross-sectional study in which 24-hour IOP measurements were taken for all eligible healthy volunteers in winter and summer, respectively, and the temperature, hours of sunlight (sunlight time), and circulatory parameters, including heart rate, systolic blood pressure, and diastolic blood pressure, were also recorded. The 24-hour IOP curves and IOP parameters (mean, peak, trough, and fluctuation of IOP together with the diurnal-to-nocturnal IOP change) in winter and summer were obtained and compared. The magnitude of IOP changes from summer to winter was also calculated.A total of 29 participants (58 eyes), 14 (48.28%) male and 15 (51.72%) female, aged 43.66 ± 12.20 (19-61) years, were considered eligible for this study. Generally, IOP decreased progressively before noon, increased notably in the nocturnal period, and peaked at 12:00 AM in winter and at 2:00 AM in summer. The pattern of 24-hour IOP in winter and summer was significantly different (P = 0.002). The average IOPs from 4:00 PM to 8:00 AM, except for 6:00 AM, were significantly higher in winter (P < 0.05). However, no significant differences were shown after adjusting for temperature and/or sunlight time. From summer to winter, the extent of IOP increase was mostly around 0 to 3 mm Hg, and the IOPs increased more significantly in the nocturnal period than in the diurnal period (P = 0.05).The 24-hour IOP rhythms were different in winter and summer, with higher IOP level in winter. Temperature and sunlight time, which are independent of heart rate and blood pressure, affected the 24-hour IOP rhythms in healthy people in Shanghai, China. Further investigations are expected for the rhythm of some endogenous substance secretion and the inner mechanism of regulation of IOP.
Collapse
Affiliation(s)
- Jingyi Cheng
- Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, China
- Key Laboratory of Myopia, Ministry of Health (Fudan University), Shanghai, China
- Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University
| | - Ming Xiao
- Department of Ophthalmology, Shanghai Bei Zhan Hospital
| | - Huan Xu
- Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, China
- Key Laboratory of Myopia, Ministry of Health (Fudan University), Shanghai, China
- Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University
| | - Shaobin Fang
- Department of Ophthalmology, Shanghai Bei Zhan Hospital
| | - Xu Chen
- Department of Ophthalmology, Shanghai Bei Zhan Hospital
| | - Xiangmei Kong
- Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, China
- Key Laboratory of Myopia, Ministry of Health (Fudan University), Shanghai, China
- Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University
- Correspondence: Xinghuai Sun, Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China (e-mail: ); Co-correspondence: Xiangmei Kong, Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China (e-mail: )
| | - Xinghuai Sun
- Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, Shanghai, China
- Key Laboratory of Myopia, Ministry of Health (Fudan University), Shanghai, China
- Shanghai Key Laboratory of Visual Impairment and Restoration, Fudan University
- State Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Fudan University, Shanghai, China
- Correspondence: Xinghuai Sun, Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China (e-mail: ); Co-correspondence: Xiangmei Kong, Department of Ophthalmology and Visual Science, Eye, Ear, Nose and Throat Hospital, Fudan University, 83 Fenyang Road, Shanghai 200031, China (e-mail: )
| |
Collapse
|
13
|
Chan MPY, Grossi CM, Khawaja AP, Yip JLY, Khaw KT, Patel PJ, Khaw PT, Morgan JE, Vernon SA, Foster PJ. Associations with Intraocular Pressure in a Large Cohort: Results from the UK Biobank. Ophthalmology 2016; 123:771-82. [PMID: 26795295 PMCID: PMC4819446 DOI: 10.1016/j.ophtha.2015.11.031] [Citation(s) in RCA: 73] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 10/03/2015] [Accepted: 11/15/2015] [Indexed: 10/25/2022] Open
Abstract
PURPOSE 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 R(2): 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.
Collapse
Affiliation(s)
- Michelle P Y Chan
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Carlota M Grossi
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Anthony P Khawaja
- Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Jennifer L Y Yip
- Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Kay-Tee Khaw
- Department of Public Health & Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Praveen J Patel
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - Peng T Khaw
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom
| | - James E Morgan
- School of Optometry & Vision Sciences, Cardiff University, Cardiff, United Kingdom
| | - Stephen A Vernon
- Department of Ophthalmology, Nottingham University Hospital NHS Trust, Nottingham, United Kingdom
| | - Paul J Foster
- NIHR Biomedical Research Centre, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
| | | |
Collapse
|
14
|
Kim JM, Park KH, Han SY, Kim KS, Kim DM, Kim TW, Caprioli J. Changes in intraocular pressure after pharmacologic pupil dilation. BMC Ophthalmol 2012; 12:53. [PMID: 23017184 PMCID: PMC3499138 DOI: 10.1186/1471-2415-12-53] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2012] [Accepted: 09/25/2012] [Indexed: 11/13/2022] Open
Abstract
Background Intraocular pressure (IOP) may vary according to the change of ocular conditions. In this study, we want to assess the effect and mechanism of pupil dilation on IOP in normal subjects. Methods We prospectively evaluated 32 eyes of 32 patients (age; 61.7 ± 8.2 years) with normal open angles under diurnal IOP. IOP was measured every two hours from 9 AM to 11 PM for one day to establish baseline values and was measured again for one day to assess the differences after dilation. To induce dilation, we administered 2.5% phenylephrine and 1% tropicamide every 5 minutes from 8:30 AM to 8:45 AM and for every two hours from 11 AM to 9 PM to keep the pupil dilated. Diurnal IOP, biometry, Visante OCT, and laser flare photometry were measured before and after dilation. Results We observed a significant increase in IOP after dilation, 1.85 ± 2.01 mmHg (p = 0.002). IOP elevation remained significant until about four hours after dilation. Thereafter, IOP decreased slowly and eventually reached pre-dilation level (p > 0.05). Flare values decreased, and the anterior chamber angle became wider after mydriasis. Conclusions Dilation of the pupil significantly and incidentally elevated IOP in normal subjects. Further related studies are warranted to characterize the mechanism of the increased IOP after dilation.
Collapse
Affiliation(s)
- Joon Mo Kim
- Department of Ophthalmology, Sungkyunkwan University School of Medicine, Kangbuk Samsung Hospital, Seoul, Korea
| | | | | | | | | | | | | |
Collapse
|
15
|
Abstract
The present study was planned to investigate the effect of the intensity of exercise on intraocular pressure (IOP), systolic and diastolic blood pressure, glycaemia and blood lactate concentration in regularly trained Italian saddle jumper horses. On the first day five female horses performed 1 h of walking on an electronically controlled horse-walker at 100 m/min; on the second day 1 h session consisted of 5 min of walk, 30 min of trot, 20 min of gallop and one exercise of a 300 m long trail with eight jumps 90 cm high to be run in 1 min. The studied indicators were collected at rest, immediately after the exercise and 30 min after the exercise. Analysis of variance (ANOVA) showed a significant effect of different workloads on blood lactate concentration, systolic and diastolic blood pressure. No significant difference was found in IOP reduction when comparing aerobic and moderate anaerobic exercise. Our results confirm that the lack of a significant change in IOP in the athletic horse after mild exercise is in accordance with the human athlete. The cardiovascular and haematological changes induced by aerobic and moderate anaerobic exercise had no significant effect on IOP, either.
Collapse
|
16
|
Tektas OY, Hammer CM, Danias J, Candia O, Gerometta R, Podos SM, Lütjen-Drecoll E. Morphologic changes in the outflow pathways of bovine eyes treated with corticosteroids. Invest Ophthalmol Vis Sci 2010; 51:4060-6. [PMID: 20237246 DOI: 10.1167/iovs.09-4742] [Citation(s) in RCA: 35] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Abstract
PURPOSE To analyze morphologic changes in the trabecular meshwork (TM) of bovine eyes treated with topical prednisolone and exhibiting elevated intraocular pressure for 4 weeks. METHODS The TM of four adult Braford cow eyes treated with 0.5% prednisolone eye drops three times daily for 7 weeks and their contralateral eyes treated with artificial tear preparation and that of two adult untreated Braford cows and untreated young calves eyes were analyzed with light and electron microscopy. Increased extracellular matrix (ECM) under the outflow loops was evaluated quantitatively. Additionally, deparaffinized tissue of treated eyes was labeled with an antibody against type VI collagen for immunocytochemistry. RESULTS In steroid-treated eyes ECM (plaques) accumulated under the endothelium of the inner wall of the outflow loops. On electron microscopy, this material contained fine fibrils that labeled for type VI collagen. Plaques were also seen in the contralateral controls of the treated animals but here they were significantly less in amount. In the untreated Braford controls and in untreated calf eyes, plaques were nearly absent. In the TM cells of the treated eyes there was a loss of glycogen from the cytoplasm and an increase in basement membrane-like material. These changes were not seen in contralateral eyes or eyes of untreated animals. CONCLUSIONS Accumulations of ECM in the treated eyes resembled morphologic changes in human eyes with primary open-angle glaucoma and steroid-induced glaucoma. This animal model, therefore, provides a good tool in which to further study the pathogenesis of TM changes in glaucoma.
Collapse
Affiliation(s)
- Ozan-Yüksel Tektas
- Department of Anatomy II, Friedrich-Alexander-University of Erlangen-Nuremberg, Erlangen, Germany.
| | | | | | | | | | | | | |
Collapse
|
17
|
Retrospektive Untersuchung jahreszeitlich bedingter Einflussfaktoren auf den Augeninnendruck therapierter Glaukompatienten. Ophthalmologe 2009; 106:1006-11. [DOI: 10.1007/s00347-008-1882-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
18
|
Kozobolis VP, Detorakis ET, Konstas AG, Achtaropoulos AK, Diamandides ED. Retrobulbar blood flow and ophthalmic perfusion in maximum dynamic exercise. Clin Exp Ophthalmol 2008; 36:123-9. [DOI: 10.1111/j.1442-9071.2007.01646.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
|