Predictive value of corneal central thickness and coefficient of variation of cell area for secondary glaucoma caused by uveitis
10.3980/j.issn.1672-5123.2026.3.28
- VernacularTitle:角膜中心厚度与细胞面积变异系数对葡萄膜炎继发性青光眼的预测价值
- Author:
Xiaoying WANG
1
;
Ying DU
1
Author Information
1. Department of Ophthalmology, Ziyang People's Hospital, Ziyang 641300, Sichuan Province, China
- Publication Type:Journal Article
- Keywords:
central corneal thickness;
coefficient of variation of cell area;
uveitis;
secondary glaucoma;
prediction
- From:
International Eye Science
2026;26(3):523-527
- CountryChina
- Language:Chinese
-
Abstract:
AIM:To investigate the predictive value of central corneal thickness(CCT)and coefficient of variation(CV)of endothelial cell area for secondary glaucoma in patients with uveitis.METHODS: A retrospective study was conducted on uveitis patients admitted to our hospital from July 2023 to April 2025. Based on the occurrence of secondary glaucoma, patients were divided into an occurrence group and a non-occurrence group, and the clinical data of the two groups were compared. Univariate and multivariate Logistic regression analyses were performed to screen for factors affecting poor prognosis. The predictive value of CCT and CV for secondary glaucoma in patients with uveitis was analyzed using receiver operating characteristic(ROC)curves.RESULTS: A total of 100 uveitis patients(100 eyes)were included and categorized into an occurrence group(16 cases, 16 eyes)and a non-occurrence group(84 cases, 84 eyes), there were 9 males and 7 females in the occurrence group, with a mean age of 45.25±10.32 years, and there were 40 males and 44 females in the non-occurence group, with a mean age of 43.89±12.47 years. The CCT in the occurrence group was significantly lower than that in the non-occurrence group, while the CV was significantly higher than that in the non-occurrence group(both P<0.001). Multivariate Logistic regression analysis showed that CCT was a protective factor, and CV was a risk factor for secondary glaucoma in patients with uveitis(both P<0.01). The areas under the ROC curve(AUC)for CCT and CV in predicting secondary glaucoma were 0.794 and 0.792, respectively. The combined predictive model yielded an AUC of 0.888, with a sensitivity of 98.15% and a specificity of 67.74%, demonstrating good predictive efficacy.CONCLUSION: CCT and CV have certain clinical value in predicting secondary glaucoma in uveitis patients. The combined diagnostic approach demonstrates higher efficacy and serves as an auxiliary indicator for assessing the risk of secondary glaucoma in patients with uveitis, allowing for targeted clinical prevention and treatment measures.
