Forte Paolo, Feo Alessandro, Koizumi Hideki, Borrelli Enrico, Manocchio Riccardo, Di Cello Luca, Biagini Francesco, Macocco Francesco, Drago Gabriele, Forte Giovanni, Vagge Aldo, Gianoglio Christian, Fontana Vincenzo, Iester Michele, Nicolò Massimo, Romano Mario R, Bonzano Chiara
Eye Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
DINOGMI, University of Genoa, Genoa, Italy.
Ophthalmol Sci. 2025 Apr 26;5(5):100808. doi: 10.1016/j.xops.2025.100808. eCollection 2025 Sep-Oct.
To assess the prevalence of pachychoroid pigment epitheliopathy (PPE) in eyes with keratoconus (KC) and investigate its correlation with corneal, choroidal, and scleral indices with multimodal imaging.
An exploratory, cross-sectional, cohort study.
One hundred consecutive patients affected with KC.
Scleral stromal thickness, PPE prevalence, and their associations with corneal and choroidal parameters.
Demographic data, corneal collagen cross-linking, anamnestic records, and clinical findings were collected. Imaging protocol included OCT (Spectralis HRA+OCT; Heidelberg Engineering), corneal topography (TMS-4N, Tomey), corneal pachymetry (RTVue-XR Avanti, Optovue), and axial length (AXL) measurement (OA-2000, Tomey). Anterior scleral stromal thickness was measured in the horizontal gaze positions 6 mm posteriorly to the scleral spur (Spectralis HRA+OCT; linear 20° scan, 1024 A-scan per second). Odds ratios (ORs) and corresponding 95% confidence limits (95% CLs) were estimated through logistic regression analysis to evaluate the association between each study parameter and PPE. To accommodate for the potential clustering effect due to within-patient correlated eye data, a generalized estimating equation procedure was applied to regression analysis. Additionally, a decision tree machine learning model with K-fold cross-validation was employed to predict PPE.
Eighty-five Caucasian patients were eligible for analysis (mean age: 34.2 years, standard deviation: 8.7). The prevalence of PPE was 10.5% (95% CL: 4.9/19.1%; 9/85 patients; 11/170 eyes; 2 bilateral cases). Significant predictors for PPE according to logistic regression were choroidal thickness (OR: 4.51; 95% CL: 1.50/13.6 for 50 μm increments; = 0.007), age (OR: 4.61; 95% CL: 1.30/16.4 for 10-year increments; = 0.018), and scleral stromal thickness (OR: 7.48: 95% CL: 1.69/33.1 for 25 μm increments; = 0.008). Sex, AXL, corneal curvature, and astigmatism parameters did not show significant discriminant ability ( > 0.05). Collagen cross-linking treatment was performed in a comparable proportion between the 2 groups (73.6% vs. 63.4% in PPE and non-PPE, respectively).
Our study identifies increased scleral thickness as the key predictor of PPE in KC patients, followed by choroidal thickening and increased age. These findings provide new insights into the role of scleral biomechanics in KC eyes with PPE.
The author(s) have no proprietary or commercial interest in any materials discussed in this article.
评估圆锥角膜(KC)患者中厚脉络膜色素上皮病变(PPE)的患病率,并通过多模态成像研究其与角膜、脉络膜和巩膜指数的相关性。
一项探索性横断面队列研究。
100例连续的KC患者。
巩膜基质厚度、PPE患病率及其与角膜和脉络膜参数的关联。
收集人口统计学数据、角膜胶原交联情况、既往记录和临床检查结果。成像检查包括光学相干断层扫描(OCT,Spectralis HRA+OCT;海德堡工程公司)、角膜地形图(TMS-4N,托米公司)、角膜测厚(RTVue-XR Avanti,欧普特视公司)和眼轴长度(AXL)测量(OA-2000,托米公司)。在距巩膜突后方6mm的水平注视位测量前巩膜基质厚度(Spectralis HRA+OCT;线性20°扫描,每秒1024次A扫描)。通过逻辑回归分析估计比值比(OR)和相应的95%置信区间(95%CL),以评估各研究参数与PPE之间的关联。为了适应患者双眼数据的潜在聚类效应,在回归分析中应用了广义估计方程法。此外,采用具有K折交叉验证的决策树机器学习模型预测PPE。
85例白种人患者符合分析条件(平均年龄:34.2岁,标准差:8.7)。PPE的患病率为10.5%(95%CL:4.9/19.1%;9/85例患者;11/170只眼;2例双侧病例)。根据逻辑回归分析,PPE的显著预测因素为脉络膜厚度(OR:4.51;95%CL:每增加50μm为1.50/13.6;P = 0.007)、年龄(OR:4.61;95%CL:每增加10岁为1.30/16.4;P = 0.018)和巩膜基质厚度(OR:7.48:95%CL:每增加25μm为1.69/33.1;P = 0.008)。性别、眼轴长度、角膜曲率和散光参数未显示出显著的判别能力(P>0.05)。两组之间进行胶原交联治疗的比例相当(PPE组和非PPE组分别为73.6%和63.4%)。
我们的研究确定巩膜厚度增加是KC患者发生PPE的关键预测因素,其次是脉络膜增厚和年龄增长。这些发现为巩膜生物力学在合并PPE的KC眼中的作用提供了新的见解。
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