Published online Apr 15, 2024. doi: 10.4239/wjd.v15.i4.654
Peer-review started: December 5, 2023
First decision: December 21, 2023
Revised: December 30, 2023
Accepted: February 6, 2024
Article in press: February 6, 2024
Published online: April 15, 2024
Processing time: 128 Days and 18.1 Hours
Pars plana vitrectomy (PPV) can effectively treat diabetic retinopathy (DR); however, some patients are prone to neovascular glaucoma (NVG) after surgery, affecting treatment efficacy. An in-depth understanding of the risk factors for NVG formation and the construction of an effective prediction model are important for clinical intervention to reduce the occurrence of NVG.
Previous studies on NVG risk factors did not include inflammatory factors in their analysis, and there is a lack of a quick and effective clinical risk prediction model. A thorough understanding of the risk factors for NVG and the construction of an effective risk assessment model can promote the clinical identification of high-risk patients and guide interventions.
To analyze the risk factors (including inflammatory factors) for NVG after PPV in patients with DR, build a nomogram model based on this, and evaluate the effectiveness of the model.
Binary logistic regression was performed to analyze the risk factors for NVG in patients with DR after PPV. The R language (R 4.0.3) software was used to construct the nomogram, and its accuracy and effectiveness were evaluated using receiver operating characteristic (ROC) and calibration curves.
Risk factors for NVG after PPV in DR include posterior capsule defect during combined cataract surgery, preoperative VEGF, HbAlc, aqueous fluid IL-6, and aqueous fluid IL-10, and the column nomogram model constructed based on this had good differentiation [AUC: 0.962 (95% confidence interval, 95%CI): 0.932-0.991), sensitivity: 91.5%, and specificity: 82.3%]. The external validation of the model was also good [AUC: 0.878 (95%CI: 0.746-0.982), sensitivity: 66.7%, specificity: 95.7%].
NVG influencing factors in patients with DR after surgery are related to many factors, including posterior capsular defects, preoperative VEGF, HbAlc, aqueous fluid IL-6, and aqueous fluid IL-10. The nomogram built based on risk factors had a high prediction accuracy and clinical applicability and is expected to expand the scope of application and reduce the occurrence of NVG.
This study confirmed that the constructed column diagram is suitable for DR after PPV at our hospital. Future research should aim to expand the sample size to multiple centers to enhance the reliability of the results and facilitate the popularization and application of the model.