Article
Development and validation of a new intraocular pressure estimate for patients with soft corneas

https://doi.org/10.1016/j.jcrs.2019.04.004Get rights and content

Purpose

To introduce and clinically validate a new method of estimating intraocular pressure (IOP) in patients with keratoconus and soft corneas with the aim of significantly reducing dependence on corneal biomechanics.

Setting

Vincieye Clinic, Milan, Italy, and Rio de Janeiro Corneal Tomography and Biomechanics Study Group, Brazil.

Design

Retrospective case series.

Method

This study comprised participants enrolled at two hospitals on two continents. Numerical analysis based on the finite element method was performed to simulate the effect of tonometric air pressure of the Corvis ST dynamic Scheimpflug analyzer on eye globes with wide variations in thickness, geometry, and tissue. The numerical predictions of ocular behavior were used to develop a new algorithm to produce predictions of the biomechanically corrected IOP (bIOP) in eyes with a soft cornea (bIOPs). Predictions of the bIOPs were assessed in the keratoconic clinical datasets (because on average these corneas are softer) and compared with the previously developed bIOP algorithm predictions obtained for normal healthy eyes.

Results

The study comprised 722 eyes (722 participants). The main outcome was the absence of a significant difference in IOP between healthy eyes and keratoconic eyes when the bIOP and bIOPs algorithms were used (P > .05). There was, however, a significant difference with the uncorrected Scheimpflug analyzer IOP in both groups (P < .001). Furthermore, the bIOPs predictions were significantly less affected by corneal thickness and patient age than the Scheimpflug analyzer IOP.

Conclusion

The bIOPs algorithm was more reliable at estimating the IOP in eyes with a soft cornea and was validated for use in eyes with keratoconus.

Section snippets

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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