Labiris Georgios, Giarmoukakis Athanassios, Sideroudi Haris, Song Xuefei, Kozobolis Vassilios, Seitz Berthold, Gatzioufas Zisis
From the Department of Ophthalmology (Labiris, Song, Seitz, Gatzioufas), University Medical Center of Saarland UKS, Homburg/Saar, Germany; the Eye Institute of Thrace (Labiris, Giarmoukakis, Sideroudi, Kozobolis,), Alexandroupolis, Greece.
From the Department of Ophthalmology (Labiris, Song, Seitz, Gatzioufas), University Medical Center of Saarland UKS, Homburg/Saar, Germany; the Eye Institute of Thrace (Labiris, Giarmoukakis, Sideroudi, Kozobolis,), Alexandroupolis, Greece.
J Cataract Refract Surg. 2014 Jun;40(6):1006-12. doi: 10.1016/j.jcrs.2014.03.018. Epub 2014 Apr 26.
To evaluate the diagnostic capacity of the keratoconus match index (KMI) and keratoconus match probability (KMP) classification from a dynamic bidirectional applanation device (Ocular Response Analyzer) in eyes with pellucid marginal degeneration (PMD).
Department of Ophthalmology, University Clinics Saarland, Homburg, Germany.
Cross-sectional study.
Pellucid marginal degeneration eligibility was confirmed by inferior peripheral thinning, corneal protrusion, and irregular astigmatism. The KMI and KMP parameters in PMD eyes (study group) were compared with those in normal eyes (control group). The KMI's overall predictive accuracy was assessed operating characteristic (ROC) curves. The relationship between KMI and corneal hysteresis (CH), the corneal resistance factor (CRF), and a series of Scheimpflug camera indices was evaluated with Spearman analysis (r).
The mean KMI in the study group (40 eyes) and control group (40 eyes) was 0.34 ± 0.43 (SD) and 0.95 ± 0.30, respectively (P<.001). The KMI correlated significantly with the CH, CRF, and most Scheimpflug camera indices. Regression analysis indicated that the index of height decentration (r = -0.877, P<.001) was the primary determinant of the KMI. Moreover, the KMP index identified 50.0%, 29.16%, and 20.83% of PMD eyes as ectatic, suspect for ectasia, and normal, respectively. The ROC curve analysis of the KMI parameter indicated a predictive accuracy of 94.8% (cutoff point 0.626; sensitivity 85.71%; specificity 90.1%).
The KMI seems to be a promising diagnostic index for PMD. In contrast, the KMP index identified a significant percentage of topographically defined PMD eyes as normal, limiting its diagnostic value in PMD.
No author has a financial or proprietary interest in any material or method mentioned.
评估动态双向压平装置（眼反应分析仪）的圆锥角膜匹配指数（KMI）和圆锥角膜匹配概率（KMP）分类对透明边缘变性（PMD）眼的诊断能力。
德国洪堡萨尔州大学诊所眼科。
横断面研究。
通过周边下部变薄、角膜突出和不规则散光来确认透明边缘变性的符合条件情况。将PMD眼（研究组）的KMI和KMP参数与正常眼（对照组）的参数进行比较。通过操作特征（ROC）曲线评估KMI的总体预测准确性。采用Spearman分析（r）评估KMI与角膜滞后（CH）、角膜阻力因子（CRF）以及一系列眼前节分析系统指数之间的关系。
研究组（40只眼）和对照组（40只眼）的平均KMI分别为0.34±0.43（标准差）和0.95±0.30（P<0.001）。KMI与CH、CRF以及大多数眼前节分析系统指数显著相关。回归分析表明，高度偏心指数（r = -0.877，P<0.001）是KMI的主要决定因素。此外，KMP指数将50.0%、29.16%和20.83%的PMD眼分别识别为扩张型、疑似扩张型和正常型。KMI参数的ROC曲线分析显示预测准确性为94.8%（截断点0.626；敏感性85.71%；特异性90.1%）。
KMI似乎是PMD的一个有前景的诊断指标。相比之下，KMP指数将相当比例的经地形图定义的PMD眼识别为正常，限制了其在PMD中的诊断价值。
没有作者对文中提及的任何材料或方法拥有财务或专利权益。
