目的：探究角膜中心厚度、细胞面积变异系数对葡萄膜炎患者继发性青光眼的预测价值。

方法：回顾性收集2023年7月至2025年4月在我院收治的葡萄膜炎患者，根据是否发生继发性青光眼将患者分为发生组与未发生组，比较两组的临床资料。进行单因素分析和多因素Logistic回归分析筛选患者预后不良的影响因素，根据受试者工作特征(ROC)曲线分析角膜中心厚度、细胞面积变异系数预测葡萄膜炎患者继发性青光眼的价值。

结果：纳入葡萄膜炎患者100例100眼，其中发生组16例16眼，未发生组84例84眼。发生组男9例，女7例，平均年龄45.25±10.32岁； 未发生组男40例，女44例，平均年龄43.89±12.47岁。发生组角膜中心厚度明显低于未发生组，且细胞面积变异系数明显高于未发生组(均P<0.001)； 多因素Logistic回归分析结果显示，角膜中心厚度为葡萄膜炎患者继发性青光眼的保护因素，细胞面积变异系数为葡萄膜炎患者继发性青光眼的危险因素(均P<0.01)，角膜中心厚度、细胞面积变异系数预测葡萄膜炎患者发生继发性青光眼的ROC曲线下面积(AUC)分别为0.794、0.792，二者联合检测AUC为0.888，敏感度为98.15%，特异度为67.74%，具有较好的预测效能。

结论：角膜中心厚度、细胞面积变异系数预测葡萄膜炎患者发生继发性青光眼具有一定的临床价值，联合诊断效能更高，可作为评估葡萄膜炎患者发生继发性青光眼的辅助指标，临床上可针对性给予预防和治疗措施。

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.