Centre for Eye Health, The University of New South Wales, Sydney, New South Wales, Australia.
School of Optometry and Vision Science, The University of New South Wales, Sydney, New South Wales, Australia.
Ophthalmic Physiol Opt. 2023 Jul;43(4):771-787. doi: 10.1111/opo.13129. Epub 2023 Mar 25.
To determine whether there are quantifiable structural or functional differences that can distinguish between high-tension glaucoma (HTG; intraocular pressure [IOP] > 21 mm Hg) and low-tension glaucoma (LTG; IOP ≤ 21 mm Hg) at diagnosis.
This was a retrospective, cross-sectional study. Clinical results of one eye from 90 newly diagnosed HTG and 319 newly diagnosed LTG patients (117 with very-low-tension glaucoma [vLTG; ≤15 mm Hg] and 202 with middling LTG [mLTG; >15 mm Hg, ≤21 mm Hg]) were extracted, which included relevant demographic covariates of glaucoma, quantitative optical coherence tomography (including the optic nerve head, retinal nerve fibre layer and ganglion cell-inner plexiform layer) measurements and standard automated perimetry global metrics. We used binary logistic regression analysis to identify statistically significant clinical parameters distinguishing between phenotypic groups for inclusion in principal component (PC) (factor) analysis (PCA). The separability between each centroid for each cohort was calculated using the Euclidean distance (d(x,y)).
The binary logistic regression comparing HTG and all LTG identified eight statistically significant clinical parameters. Subsequent PCA results included three PCs with an eigenvalue >1. PCs 1 and 2 accounted for 21.2% and 20.2% of the model, respectively, with a d(x,y) = 0.468, indicating low separability between HTG and LTG. The analysis comparing vLTG, mLTG and HTG identified 15 significant clinical parameters, which were subsequently grouped into five PCs. PCs 1 and 2 accounted for 24.1% and 17.8%, respectively. The largest separation was observed between vLTG and HTG (d(x,y) = 0.581), followed by vLTG and mLTG (d(x,y) = 0.435) and lastly mLTG and HTG (d(x,y) = 0.210).
Conventional quantitative structural or functional parameters could not distinguish between pressure-defined glaucoma phenotypes at the point of diagnosis and are therefore not contributory to separating cohorts. The overlap in findings highlights the heterogeneity of the primary open-angle glaucoma clinical presentations among pressure-defined groups at the cohort level.
确定在诊断时是否存在可量化的结构或功能差异,可以区分高压性青光眼(HTG;眼压[IOP] > 21mmHg)和低压性青光眼(LTG;IOP ≤ 21mmHg)。
这是一项回顾性、横断面研究。从 90 例新诊断的 HTG 和 319 例新诊断的 LTG 患者(117 例极低压性青光眼[vLTG;≤15mmHg]和 202 例中压性 LTG [mLTG;>15mmHg,≤21mmHg])的一只眼中提取临床结果,包括青光眼相关的人口统计学协变量、定量光学相干断层扫描(包括视神经头、视网膜神经纤维层和节细胞内丛状层)测量值和标准自动视野计全局指标。我们使用二元逻辑回归分析来识别区分表型组的统计学显著临床参数,以纳入主成分(PC)(因子)分析(PCA)。使用欧几里得距离(d(x,y))计算每个队列每个质心之间的可分离性。
比较 HTG 和所有 LTG 的二元逻辑回归确定了 8 个统计学显著的临床参数。随后的 PCA 结果包括 3 个特征值>1 的 PCs。PC1 和 PC2 分别占模型的 21.2%和 20.2%,d(x,y)=0.468,表明 HTG 和 LTG 之间的可分离性低。比较 vLTG、mLTG 和 HTG 的分析确定了 15 个有意义的临床参数,随后将其分为 5 个 PCs。PC1 和 PC2 分别占 24.1%和 17.8%。观察到 vLTG 和 HTG 之间的最大分离(d(x,y)=0.581),其次是 vLTG 和 mLTG(d(x,y)=0.435),最后是 mLTG 和 HTG(d(x,y)=0.210)。
在诊断时,常规的定量结构或功能参数不能区分压力定义的青光眼表型,因此对分离队列没有贡献。这些发现的重叠突出表明,在队列水平上,压力定义组的原发性开角型青光眼临床表现存在异质性。