ArticleDevelopment and validation of a new intraocular pressure estimate for patients with soft corneas
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Biomechanically Corrected Intraocular Pressure Algorithm Development
The bIOPs algorithm was developed using numerical simulation by the Biomechanical Engineering Group, University of Liverpool, United Kingdom, following the same procedure used for the bIOP algorithm.11, 12 In brief, the Corvis ST air-puff effect was simulated on numerical models of whole eye globes in which true IOP was varied between 10 mm Hg and 35 mm Hg. The 3-dimensional anterior and posterior topographies of the keratoconic eyes included in the clinical validation part of this study were
Dataset 1 (Milan)
Dataset 1 included 315 participants (164 healthy; 151 with keratoconus). The mean age was 35 ± 13 years old (range 14 to 73 years) in the group with normal corneas and 33 ± 12 years (range 14 to 73 years) in the group with keratoconic corneas; the difference was not statistically significant (P = .507). In contrast, the mean CCT was significantly greater in normal eyes (543 ± 32 μm; range 458 to 635 μm) than in soft eyes (482 ± 45 μm; range 239 to 595 μm) (P < .001).
The mean bIOP in normal eyes
Discussion
The reliable measurement of IOP in patients with soft corneas, including those with keratoconus, has always been a challenge.6 Soft corneas are thinner, steeper, softer, and less regular than healthy tissue; thus, the IOP in soft corneas is usually systematically underestimated.8 This can cause problems when using eyedrops (eg, steroids) or having procedures that can induce a rise in IOP, making it difficult to evaluate whether a borderline IOP measurement represents a clear abnormality.
The
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