Department of Ophthalmology and Visual Sciences, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Vision Science Graduate Program, University of Alabama at Birmingham, Birmingham, AL, 35233, USA.
Sci Rep. 2020 Nov 12;10(1):19701. doi: 10.1038/s41598-020-76834-4.
The dynamic structure-function (DSF) model was previously shown to have better prediction accuracy than ordinary least square linear regression (OLSLR) for short series of visits. The current study assessed the external validity of the DSF model by testing its performance in an independent dataset (Ocular Hypertension Treatment Study-Confocal Scanning Laser Ophthalmoscopy [OHTS-CSLO] ancillary study; N = 178 eyes), and also on different test parameters in a sample selected from the Diagnostic Innovations in Glaucoma Study or the African Descent and Glaucoma Evaluation Study (DIGS/ADAGES). Each model was used to predict structure-function paired data at visits 4-7. The resulting prediction errors for both models were compared using the Wilcoxon signed-rank test. In the independent dataset, the DSF model predicted rim area and mean sensitivity paired measurements more accurately than OLSLR by 1.8-5.5% (p ≤ 0.004) from visits 4-6. Using the DIGS/ADAGES dataset, the DSF model predicted retinal nerve fiber layer thickness and mean deviation paired measurements more accurately than OLSLR by 1.2-2.5% (p ≤ 0. 007). These results demonstrate the external validity of the DSF model and provide a strong basis to develop it into a useful clinical tool.
先前的研究表明，与普通最小二乘线性回归（OLSLR）相比，动态结构-功能（DSF）模型在短时间的访问中具有更好的预测准确性。本研究通过在独立数据集（眼压升高治疗研究-共焦扫描激光检眼镜[OHTS-CSLO]辅助研究；N=178 只眼）中测试 DSF 模型的性能，以及在从诊断性青光眼创新研究或非裔美国人青光眼评估研究（DIGS/ADAGES）中选择的样本中测试不同的测试参数，来评估 DSF 模型的外部有效性。每个模型都用于预测第 4-7 次就诊时的结构-功能配对数据。使用 Wilcoxon 符号秩检验比较两种模型的预测误差。在独立数据集中，DSF 模型在第 4-6 次就诊时比 OLSLR 更准确地预测了边缘区域和平均敏感性的配对测量结果，误差幅度为 1.8-5.5%（p≤0.004）。使用 DIGS/ADAGES 数据集，DSF 模型在第 4-6 次就诊时比 OLSLR 更准确地预测了视网膜神经纤维层厚度和平均偏差的配对测量结果，误差幅度为 1.2-2.5%（p≤0.007）。这些结果证明了 DSF 模型的外部有效性，并为将其开发为一种有用的临床工具提供了坚实的基础。
