Prediction model for elevated intraocular pressure risk after silicone oil filling based on clinical features

Wen Fan; Chaohe Zhang; Lexin Ge; Na Su; Jiaqin Chen; Siyao Song; Yasha Wang; Songtao Yuan

doi:10.3389/fmed.2023.1340198

Prediction model for elevated intraocular pressure risk after silicone oil filling based on clinical features

Front Med (Lausanne). 2024 Jan 9:10:1340198. doi: 10.3389/fmed.2023.1340198. eCollection 2023.

Authors

Wen Fan^#¹, Chaohe Zhang^#^{2

3}, Lexin Ge^#¹, Na Su¹, Jiaqin Chen¹, Siyao Song^{3

4

5}, Yasha Wang^{2

4}, Songtao Yuan¹

Affiliations

¹ Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
² Key Laboratory of High Confidence Software Technologies, Ministry of Education, Peking University, Beijing, China.
³ School of Computer Science, Peking University, Beijing, China.
⁴ National Engineering Research Center of Software Engineering, Peking University, Beijing, China.
⁵ Software College, Northeastern University, Shenyang, China.

^# Contributed equally.

Abstract

Background: 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.

Methods: 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 p-value of the univariate analysis.

Results: 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 p-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.

Conclusion: 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.

Keywords: biological parameter; intraocular pressure; ocular hypertension; pars plana vitrectomy; prediction model; silicone oil.

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work is supported by the National Natural Science Foundation of China (No.82241052), Natural Science Foundation of Jiangsu Province (BK20220730), Nanjing Health Science and Technology Development Special Fund Program (GBX21339); Jiangsu Province Hospital (the First Affiliated Hospital with Nanjing Medical University) Clinical Capacity Enhancement Project (JSPH-MB-2021-8) and Jiangsu Province Hospital Excellent Young and Middle-aged Talents Support Special Fund Program (YNRCQN008).