Corvis Biomechanical Factor Facilitates the Detection of Primary Angle Closure Glaucoma.
Chou Chien-Chih, Shih Po-Jen, Wang Chun-Yuan, Jou Tzuu-Shuh, Chen Jun-Peng, Wang I-Jong
AI Summary
This study found lower corneal biomechanical factor (CBiF) in PACG patients. Combining CBiF with anterior chamber volume significantly improves PACG detection, offering a better diagnostic tool.
Abstract
Purpose
To characterize the corneal biomechanical properties of primary angle closure glaucoma (PACG) and to investigate the diagnostic performance of combining corneal biomechanical parameters and anterior segment parameters in detecting PACG.
Methods
This retrospective cross-sectional study evaluated 79 and 81 eyes of normal controls and patients with PACG, respectively. Corvis Biomechanical Factor (CBiF) and anterior chamber volume (ACV) were measured using the Corvis ST and Pentacam, respectively. We performed multivariable logistic regression, adjusted for age, sex, central corneal thickness, intraocular pressure, and ACV to evaluate the effect of CBiF on PACG. The area under the receiver operating curve (AUC) was calculated to compare the diagnostic performance of ACV, CBiF, and ACV-CBiF combination for detecting PACG.
Results
The median CBiF of the control and PACG groups was 6.61 (interquartile range [IQR], 6.39-6.88) and 6.20 (IQR, 5.93-6.48), respectively (P < 0.001). A lower CBiF, suggestive of decreased corneal biomechanical stability, increased the odds of PACG (odds ratio, 0.029; 95% confidence interval [CI], 0.003-0.266; P = 0.002) in the multivariable logistic regression model. The ACV-CBiF combination yielded the highest AUC (0.934; 95% CI, 0.882-0.968) compared with ACV alone (0.878; 95% CI, 0.823-0.928). The ACV-CBiF combination had significantly higher discriminatory ability than that of ACV alone (DeLong test, P = 0.004).
Conclusions
Lower CBiF and ACV may act as independent predictors for PACG. Combining ACV and CBiF may enhance detection of PACG.
Translational relevance: The combination of corneal biomechanical parameters and anterior segment parameters enhances the detection of PACG.
MeSH Terms
Shields Classification
Key Concepts5
The median Corvis Biomechanical Factor (CBiF) in patients with primary angle closure glaucoma (PACG) was 6.20 (interquartile range [IQR], 5.93-6.48), which was lower than in normal controls (6.61; IQR, 6.39-6.88) (P < 0.001).
A lower Corvis Biomechanical Factor (CBiF), indicative of decreased corneal biomechanical stability, significantly increased the odds of primary angle closure glaucoma (PACG) (odds ratio, 0.029; 95% confidence interval [CI], 0.003-0.266; P = 0.002) in a multivariable logistic regression model adjusted for age, sex, central corneal thickness, intraocular pressure, and anterior chamber volume (ACV).
The combination of anterior chamber volume (ACV) and Corvis Biomechanical Factor (CBiF) yielded the highest area under the receiver operating curve (AUC) of 0.934 (95% CI, 0.882-0.968) for detecting primary angle closure glaucoma (PACG), which was significantly higher than ACV alone (AUC = 0.878; 95% CI, 0.823-0.928) (DeLong test, P = 0.004).
Lower Corvis Biomechanical Factor (CBiF) and anterior chamber volume (ACV) may act as independent predictors for primary angle closure glaucoma (PACG).
Combining corneal biomechanical parameters (Corvis Biomechanical Factor) and anterior segment parameters (anterior chamber volume) enhances the detection of primary angle closure glaucoma (PACG).
Related Articles5
Comparison of intraocular pressure profiles during the water drinking test and the modified diurnal tension curve.
Observational StudyReduced Pulsatile Trabecular Meshwork Motion in Eyes With Primary Open Angle Glaucoma Using Phase-Sensitive Optical Coherence Tomography.
Cross-Sectional StudyChanges in Intraocular Pressure and Angle Structure after Dilation in Primary Angle-Closure Suspects with Visually Significant Cataract.
Observational StudySpectral-domain optical coherence tomographic assessment of Schlemm's canal in Chinese subjects with primary open-angle glaucoma.
Cross-Sectional StudyTowards 'automated gonioscopy': a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography.
Cross-Sectional StudyIs this article assigned to the wrong chapter(s)? Let us know.