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Published on: June 20, 2015
Time-of-Year Variation in Intraocular Pressure
Christina E Morettin1, Daniel K Roberts1,2,3, Tricia L Newman1
1Department of Clinical Education, Illinois Eye Institute, Illinois College of Optometry.
Insights
Intraocular pressure (IOP) exhibits a subtle annual pattern, with levels varying by season. This study confirms a cyclical IOP variation, highlighting the importance of considering time of year in eye pressure research.
Area of Science:
- Ophthalmology
- Chronobiology
- Biostatistics
Background:
- Intraocular pressure (IOP) is a critical factor in eye health, particularly for conditions like glaucoma.
- Previous research has not conclusively established a consistent annual pattern in IOP levels.
- Understanding seasonal variations in IOP is essential for accurate diagnosis and treatment monitoring.
Purpose of the Study:
- To investigate the relationship between intraocular pressure (IOP) and the time of year.
- To determine if a measurable annual pattern exists in IOP levels.
- To assess the statistical power needed to detect seasonal IOP variations.
Main Methods:
- Analysis of three large datasets (N=3041, N=3261, N=69,858) collected between 1999 and 2018 in Chicago, IL.
- Utilized Goldmann applanation tonometry for IOP measurements.
- Employed regression analyses, Fourier analysis, and harmonics analysis to detect annual cycles and trends.
Main Results:
- A statistically significant annual IOP pattern was detected across all datasets (P<0.0001).
- Peak IOP levels were observed in winter (December/January), with the lowest levels in September.
- A trough-to-peak variation of approximately 1 mmHg was identified, with IOP trending downward in spring and upward in autumn.
Conclusions:
- This study provides strong evidence for a demonstrable annual, cyclical pattern in intraocular pressure.
- The seasonal relationship of IOP suggests that time of year is a significant factor influencing eye pressure.
- Future research should account for these seasonal variations to improve the understanding and management of ocular conditions.
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.
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