Fan Wen, Zhang Chaohe, Ge Lexin, Su Na, Chen Jiaqin, Song Siyao, Wang Yasha, Yuan Songtao
Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Key Laboratory of High Confidence Software Technologies, Ministry of Education, Peking University, Beijing, China.
Front Med (Lausanne). 2024 Jan 9;10:1340198. doi: 10.3389/fmed.2023.1340198. eCollection 2023.
To evaluate risk factors and further develop prediction models for intraocular pressure elevation (IOP) after vitreoretinal surgery with silicone oil tamponade to support clinical management.
A retrospective study analyzed 1,061 eyes of 1,061 consecutive patients that presented to the Jiangsu Province Hospital between December 2015 and December 2020, the IOP was measured from the preoperative visit and at the 1-week, 1-month, 3-month, and 6-month visits, and the final postoperative visit before silicone oil removal. Four machine learning methods were used to carried out the prediction of IOP elevation: Decision Tree, Logistic Regression, Random Forest, and Gradient-Boosted Decision Trees (GBDT) based on features including demographic and clinical characteristics, preoperative factors and surgical factors. Predictors were selected based on the -value of the univariate analysis.
Elevated intraocular pressure developed in 26.01% of the eyes postoperatively. Elevated intraocular pressure primarily occurred within 1-2 weeks after surgery. Additionally, the majority of IOP values were distributed around 25-40 mmHg. GBDT utilizing features with -values less than 0.5 from the hypothesis testing demonstrated the best predictive performance for 0.7944 in accuracy. The analysis revealed that age, sex, hypertension, diabetes, myopia, retinal detachment, lens status and biological parameters have predictive value.
Age, sex, hypertension, diabetes, myopia, retinal detachment, lens status and biological parameters have influence on postoperative intraocular pressure elevation for patients with silicone oil tamponade after pars plana vitrectomy. The prediction model showed promising accuracy for the occurrence of IOP elevation. This may have some reference significance for reducing the incidence of high intraocular pressure after pars plana vitrectomy combined with silicone oil filling.
评估玻璃体视网膜手术联合硅油填充后眼压升高(IOP)的危险因素,并进一步开发预测模型以支持临床管理。
一项回顾性研究分析了2015年12月至2020年12月期间在江苏省医院就诊的1061例连续患者的1061只眼睛,在术前就诊时以及术后1周、1个月、3个月和6个月就诊时测量眼压,并在硅油取出前进行最后一次术后就诊。使用四种机器学习方法对眼压升高进行预测:基于人口统计学和临床特征、术前因素和手术因素等特征的决策树、逻辑回归、随机森林和梯度提升决策树(GBDT)。根据单变量分析的P值选择预测因子。
术后26.01%的眼睛出现眼压升高。眼压升高主要发生在术后1-2周内。此外,大多数眼压值分布在25-40mmHg左右。利用假设检验中P值小于0.5的特征的GBDT在准确性方面表现出最佳预测性能,为0.7944。分析显示年龄、性别、高血压、糖尿病、近视、视网膜脱离、晶状体状态和生物学参数具有预测价值。
年龄、性别、高血压、糖尿病、近视、视网膜脱离、晶状体状态和生物学参数对玻璃体切除联合硅油填充患者术后眼压升高有影响。该预测模型对眼压升高的发生显示出有前景的准确性。这可能对降低玻璃体切除联合硅油填充术后高眼压的发生率具有一定的参考意义。