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Time-of-Year Variation in Intraocular Pressure. | LitMetric

AI Article Synopsis

  • A study in Chicago investigated the relationship between intraocular pressure (IOP) and the time of year, revealing a subtle annual pattern in IOP levels.
  • The research analyzed data from over 69,000 patient visits using Goldmann applanation tonometry, finding that mean IOP peaks in December/January and is lowest in September.
  • Results indicate a significant annual IOP cycle, with minimal variation of about 1 mm Hg, suggesting a clear seasonal trend that can be affected by the time of year and requires adequate sample sizes for accurate detection.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8563404PMC
http://dx.doi.org/10.1097/IJG.0000000000001930DOI Listing

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