Centre for Eye Health, University of New South Wales, Kensington, NSW, Australia.
School of Optometry and Vision Science, University of New South Wales, Kensington, NSW, Australia.
Ophthalmic Physiol Opt. 2020 Sep;40(5):632-649. doi: 10.1111/opo.12714. Epub 2020 Jul 9.
To identify patterns of age-, gender- and refractive- related changes in Scheimpflug-based anterior chamber depth across the central 8 mm of chamber width, to derive normative models, potentially useful for angle closure disease diagnosis.
This was a retrospective, cross-sectional study. Scheimpflug photography was used to obtain anterior chamber depth measurements at 57 points across the central 8 mm of the chamber width from one eye of each healthy subject (male Caucasians (n = 189), female Caucasians (n = 186), male Asians (n = 165) and female Asians (n = 181)). Sliding window and nonlinear regression analysis was used to identify the age-related changes in chamber depth. Hierarchical cluster analysis was used to identify test locations with statistically identical age-related shifts, which were used to perform age-correction for all subjects, resulting in normative distributions of chamber depth across the chamber width. The model was examined with and without the contribution of spherical equivalent refractive error.
Distinct clusters, demonstrating statistically indistinguishable age-related changes of chamber depth over time, were identified. These age-related changes followed a nonlinear regression (fifth or sixth order polynomial). Females tended to have a greater rate of chamber depth shallowing. Incorporating refractive error into the model produced minimal changes to the fit relative to the ground truth. Comparisons with cut-offs for angle closure from the literature showed that ageing alone was insufficient for identifying angle closure disease.
Age-, ethnicity- and gender-related differences need to be acknowledged in order to utilise anterior chamber depth data for angle closure disease diagnosis correctly. Ageing alone does not adequately account for the angle closure disease process.
确定基于 Scheimpflug 的前房深度在中央 8mm 虹膜宽度范围内的年龄、性别和屈光相关变化模式，推导潜在用于房角关闭疾病诊断的正常模型。
这是一项回顾性、横断面研究。使用 Scheimpflug 摄影术从每只健康受试者（男性白种人（n=189）、女性白种人（n=186）、男性亚洲人（n=165）和女性亚洲人（n=181）的一只眼）的中央 8mm 虹膜宽度的 57 个点获取前房深度测量值。滑动窗口和非线性回归分析用于识别房深的年龄相关性变化。层次聚类分析用于识别具有统计学上相同年龄相关变化的测试位置，这些位置用于对所有受试者进行年龄校正，从而在前房宽度内产生房深的正常分布。检查了包含和不包含等效球镜屈光误差的模型。
确定了明显的聚类，这些聚类显示出时间上具有统计学上不可区分的房深相关变化。这些年龄相关的变化遵循非线性回归（五阶或六阶多项式）。女性的房深度变浅速度往往较快。将屈光误差纳入模型相对于真实值仅对拟合度产生微小影响。与文献中房角关闭的截止值进行比较表明，仅老化不足以识别房角关闭疾病。
为了正确利用前房深度数据进行房角关闭疾病诊断，需要考虑年龄、种族和性别相关的差异。仅老化并不能充分说明房角关闭疾病的过程。
