Department of Ophthalmology, Hospital Santa Maria, Centro Hospitalar, Universitário Lisboa Norte , Lisboa, Portugal.
Ophthalmology Clinic, Faculdade de Medicina, Universidade de Lisboa , Lisboa, Portugal.
Semin Ophthalmol. 2020 Nov 16;35(7-8):352-357. doi: 10.1080/08820538.2020.1863436. Epub 2020 Dec 27.
: The curvature of the anterior corneal surface is traditionally used as a surrogate to estimate corneal astigmatism. In recent years, increasing importance has been attributed to posterior corneal astigmatism as an indicator. Our aim is to characterize the posterior corneal surface in a population with keratoconus and investigate its predictive value to keratoconus progression. : Retrospective study from a tertiary care centre (Hospital de Santa Maria, Lisbon, Portugal). Eighty-five patients (85 eyes) with keratoconus were included. All patients had two tomographical examinations ≥12 months apart (Pentacam HR). Vector analysis was used to calculate anterior (ACA), posterior (PCA), and total corneal astigmatism (TCA). Multivariate logistic regression was used to assess the predictive value of PCA to keratoconus progression, adjusting for ACA, TCA and several tomographical indices. : Study participants had a mean age of 32 (SD = 12.5) years. Mean tomographical keratoconus classification was 2.16 (SD = 0.95), with a mean Kmax of 55.8D (SD = 7.8). Mean power of PCA, ACA and TCA was, respectively, -0.88D (SD = 0.84), 3.74D (SD = 2.36), and 3.06D (SD = 2.01) and its centroids were 0.44D x 15º, 1.65D x 112º, and 1.61D x 106º, respectively. The power of PCA was ≥0.50, 1.00 and 2.00D in 75.3%, 32.9%, and 3.5% of patients, respectively, inducing against-the-rule astigmatism in 60.0% of patients. On average, ACA overestimated TCA in 0.35D x 151º ( < .01). ACA and TCA were highly correlated but showed a lack of agreement for clinical purposes. A predictive role for PCA was excluded. : In this population with keratoconus, PCA contributed substantially to TCA. However, PCA was not a valuable predictor for disease progression.
: 角膜前表面的曲率传统上被用作估计角膜散光的替代指标。近年来,后角膜散光作为一个指标受到越来越多的重视。我们的目的是描述圆锥角膜患者的后角膜表面特征,并研究其对圆锥角膜进展的预测价值。 : 这是一项来自葡萄牙里斯本圣玛丽亚医院的三级保健中心的回顾性研究。共纳入 85 例(85 只眼)圆锥角膜患者。所有患者均进行了两次至少间隔 12 个月的断层扫描检查(Pentacam HR)。使用向量分析来计算前向散光(ACA)、后向散光(PCA)和总角膜散光(TCA)。多变量逻辑回归用于评估 PCA 对圆锥角膜进展的预测价值,同时调整 ACA、TCA 和几个断层扫描指数。 : 研究参与者的平均年龄为 32(标准差=12.5)岁。平均角膜地形图分类为 2.16(标准差=0.95),最大角膜曲率(Kmax)平均值为 55.8D(标准差=7.8)。PCA、ACA 和 TCA 的平均光焦度分别为-0.88D(标准差=0.84)、3.74D(标准差=2.36)和 3.06D(标准差=2.01),其光心分别为 0.44D x 15°、1.65D x 112°和 1.61D x 106°。75.3%、32.9%和 3.5%的患者 PCA 光焦度分别≥0.50、1.00 和 2.00D,诱导出逆规散光分别占 60.0%、32.9%和 3.5%。平均而言,ACA 在 151°处比 TCA 高估了 0.35D(<.01)。ACA 和 TCA 高度相关,但在临床应用中存在差异。PCA 对疾病进展无预测作用。 : 在本圆锥角膜人群中,PCA 对 TCA 有较大贡献。然而,PCA 并不是疾病进展的有价值预测指标。