Scholarlink

Introduction <p>This study aimed to develop predictive models for identifying risk factors of postoperative IOP elevation in patients with rhegmatogenous retinal detachment (RRD) following silicone oil (SO) tamponade.</p> Methods <p>This retrospective study involved 533 RRD patients treated at the First Affiliated Hospital of Chongqing Medical University between September 1, 2024, and June 19, 2025. IOP was measured postoperatively on day 1, week 1, and months 1, 3, 6, and before SO removal using the non-contact tonometer Corvis Scheimpflug Technology (Corvis ST, OCULUS, Wetzlar, Germany) to acquire biomechanically corrected IOP (bIOP). Multiple machine learning (ML) models and one nomogram were constructed using demographic, clinical, and surgical factors.</p> Results <p>Postoperatively, 57.8% of patients developed elevated intraocular pressure (IOP), with 81.5% occurring within two weeks. A Stepwise GLM [forward] + SVM model based on clinical features outperformed the Nomogram (AUC 0.761 vs. 0.729). The top five predictors were axial length (AL), age, white-to-white corneal diameter (WTW), proliferative vitreoretinopathy (PVR), and central corneal thickness (CCT).</p> Conclusion <p>In RRD patients receiving silicone oil tamponade, AL, age, WTW, PVR, and CCT were closely associated with postoperative IOP elevation. The ML models outperformed nomogram in accuracy and clinical interpretability, offering a reliable tool utilizing bIOP for early IOP risk assessment and postoperative management in RRD patients. Their integration of anatomical and biometric features supports real-world clinical deployment and individualized care planning.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A clinical prediction tool for ocular hypertension following silicone oil tamponade in rhegmatogenous retinal detachment

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月14日

查看全文
  • Huan Ju,
  • Xuefeng Qin,
  • Xing Wang,
  • Lingyi Jin,
  • Yuanyuan Wu,
  • Qingyue Luo,
  • Huan Zhou,
  • Ni Zhang,
  • Hui Peng

摘要

Introduction

This study aimed to develop predictive models for identifying risk factors of postoperative IOP elevation in patients with rhegmatogenous retinal detachment (RRD) following silicone oil (SO) tamponade.

Methods

This retrospective study involved 533 RRD patients treated at the First Affiliated Hospital of Chongqing Medical University between September 1, 2024, and June 19, 2025. IOP was measured postoperatively on day 1, week 1, and months 1, 3, 6, and before SO removal using the non-contact tonometer Corvis Scheimpflug Technology (Corvis ST, OCULUS, Wetzlar, Germany) to acquire biomechanically corrected IOP (bIOP). Multiple machine learning (ML) models and one nomogram were constructed using demographic, clinical, and surgical factors.

Results

Postoperatively, 57.8% of patients developed elevated intraocular pressure (IOP), with 81.5% occurring within two weeks. A Stepwise GLM [forward] + SVM model based on clinical features outperformed the Nomogram (AUC 0.761 vs. 0.729). The top five predictors were axial length (AL), age, white-to-white corneal diameter (WTW), proliferative vitreoretinopathy (PVR), and central corneal thickness (CCT).

Conclusion

In RRD patients receiving silicone oil tamponade, AL, age, WTW, PVR, and CCT were closely associated with postoperative IOP elevation. The ML models outperformed nomogram in accuracy and clinical interpretability, offering a reliable tool utilizing bIOP for early IOP risk assessment and postoperative management in RRD patients. Their integration of anatomical and biometric features supports real-world clinical deployment and individualized care planning.