实用老年医学 ›› 2025, Vol. 39 ›› Issue (8): 837-841.doi: 10.3969/j.issn.1003-9198.2025.08.017

• 临床研究 • 上一篇    下一篇

老年葡萄膜炎并发白内障的危险因素和预测模型构建

刘乔容, 薛朝华, 李鹏程   

  1. 430022 湖北省武汉市,华中科技大学同济医学院附属协和医院眼科
  • 收稿日期:2024-12-03 出版日期:2025-08-20 发布日期:2025-08-19
  • 通讯作者: 李鹏程,Email:lipengcheng72@126.com

Risk factors and predictive model construction for cataract in elderly patients with uveitis

LIU Qiaorong, XUE Chaohua, LI Pengcheng   

  1. Department of Ophthalmology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
  • Received:2024-12-03 Online:2025-08-20 Published:2025-08-19
  • Contact: LI Pengcheng, Email: lipengcheng72@126.com

摘要: 目的 探讨老年葡萄膜炎并发白内障的危险因素,构建列线图预测模型。 方法 回顾性选取2021年3月至2024年3月华中科技大学同济医学院附属协和医院眼科收治的223例葡萄膜炎病人,收集临床相关资料,根据是否并发白内障将病人分为白内障组(116例)和非白内障组(107例)。采用多因素logistic回归分析老年葡萄膜炎病人并发白内障的相关因素,构建列线图预测模型并验证。 结果 疾病严重程度评分较高、葡萄膜炎发作次数≥2次/年、黄斑囊样水肿、糖尿病、长期使用糖皮质激素、年龄较大、白内障家族史是葡萄膜炎病人并发白内障的危险因素(P<0.05)。基于回归分析结果构建的列线图预测模型具有良好的校准度(平均绝对误差为0.02,C-index 指数为0.851)和预测效能(ROC曲线下面积为0.885)。 结论 老年葡萄膜炎并发白内障的发生率较高,年龄、家族史、葡萄膜炎严重程度及发作次数、糖尿病、长期应用激素、合并黄斑囊样水肿等是相关危险因素,基于上述指标构建的列线图模型对老年葡萄膜炎并发白内障有较高的预测价值。

关键词: 葡萄膜炎, 危险因素, 预测模型, 白内障

Abstract: Objective To investigate the risk factors of cataract in the elderly patients with uveitis, and to establish a nomogram predictive model. Methods A total of 223 patients with uveitis admitted to Union Hospital, Tongji Medical College, Huazhong University of Science and Technology from March 2021 to March 2024 were retrospectively selected. Relevant clinical data were collected. All patients were divided into cataract group (116 cases) and non-cataract group (107 cases) based on the presence of cataract complications. Multivariate logistic regression analysis was conducted to analyze the related factors affecting cataract complications in the elderly patients with uveitis, and the prediction model was constructed and verified by nomogram. Results Higher disease severity score, the frequency of uveitis ≥2 times per year, cystoid macular edema (CME), diabetes, long-term use of glucocorticoids, older age and family history of cataract were identified as the risk factors for cataract in the elderly patients with uveitis (P < 0.05). The regression-based nomogram predictive model showed good calibration (mean absolute error=0.02) and discrimination (C-index=0.851). Its predictive performance was also excellent, with an area under the receiver operating characteristic curve of 0.885. Conclusions The incidence rate of cataract is high in the elderly patients with uveitis. Risk factors include advanced age, family history of cataract, severity of uveitis, diabetes and long-term use of hormones, and concomitant CME. The nomogram model constructed based on these factors shows high predictive value for cataract in the elderly patients with uveitis.

Key words: uveitis, risk factors, predictive model, cataract

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