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用于预测共同性外斜视患者二次手术的列线图。

Nomogram for predicting secondary surgery in patients with concomitant exotropia.

作者信息

Liu Haihua, Liu Rongjun, Li Ruiying, Li Kaixiu

机构信息

Department of Ophthalmology Center, Peking University First Hospital, No.8 Xishiku Road, Xicheng District, Beijing, 100034, China.

出版信息

Sci Rep. 2025 May 29;15(1):18955. doi: 10.1038/s41598-025-01463-8.

Abstract

Concomitant exotropia (CX), a common form of strabismus, often requires surgical correction, yet up to 60% of patients undergo secondary surgery (SS) due to recurrence or residual deviation. Current risk prediction tools remain limited by inconsistent variables and short-term follow-up. This study aimed to develop and validate a nomogram integrating long-term follow-up data to predict individualized SS risk in CX patients. This is a retrospective cohort study of patients with CX who underwent surgery at the Peking University First Hospital between January 1, 2008, and December 31, 2010. Of the 355 CX cases included, 70% were randomly assigned to the training set (n = 248) and 30% to the validation set (n = 107). Demographic and clinical variables were ascertained at hospital admission and discharge and screened using multivariate Cox proportional hazards regression analysis to construct predictive models and generate a one-, three-, and six-year alignment rate nomogram. This nomogram provided an estimate of the risk of SS in patients with surgically treated CX. Internal validation was conducted using the concordance index (C-index) and calibration curve for the training and validation sets, respectively. Four independent prognostic factors were identified: age of onset, refraction, types, and deviation angles one week after surgery entered into the nomogram. The proposed nomogram showed favorable discrimination and accuracy in the training and validation sets. The C-indexes of the training and validation sets were 0.83(95%CI:0.71 ~ 0.95) and 0.80(95%CI: 0.70 ~ 0.89), respectively. The proposed nomogram may serve as a predictive tool for prognostic evaluation of CX surgery.

摘要

共同性外斜视(CX)是斜视的一种常见形式,通常需要手术矫正,但高达60%的患者因复发或残余斜视而接受二次手术(SS)。目前的风险预测工具仍然受到变量不一致和短期随访的限制。本研究旨在开发并验证一种整合长期随访数据的列线图,以预测CX患者个体化的二次手术风险。这是一项对2008年1月1日至2010年12月31日期间在北京大学第一医院接受手术的CX患者进行的回顾性队列研究。在纳入的355例CX病例中,70%被随机分配到训练集(n = 248),30%被分配到验证集(n = 107)。在入院和出院时确定人口统计学和临床变量,并使用多变量Cox比例风险回归分析进行筛选,以构建预测模型并生成1年、3年和6年的矫正率列线图。该列线图提供了手术治疗的CX患者二次手术风险的估计值。分别使用一致性指数(C指数)和校准曲线对训练集和验证集进行内部验证。确定了四个独立的预后因素:发病年龄、屈光不正、类型以及术后一周的斜视角度,这些因素被纳入列线图。所提出的列线图在训练集和验证集中显示出良好的区分度和准确性。训练集和验证集的C指数分别为0.8

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8598/12122913/dae263f94614/41598_2025_1463_Fig1_HTML.jpg

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