U.G.C. Ophthalmology, Hospital Universitario Virgen Macarena and Virgen del Rocío, Seville, Spain
Department of Surgery, University of Seville, Seville, Spain.
Br J Ophthalmol. 2019 Mar;103(3):327-331. doi: 10.1136/bjophthalmol-2017-311693. Epub 2018 May 18.
BACKGROUND/AIMS: Limbal stem cell deficiency (LSCD) is characterised by a marked decrease in limbal stem cells. It is classified primarily using subjective slit-lamp observations. In vivo confocal microscopy (IVCM) can non-invasively provide objective information on the condition of the limbal niche, the corneal epithelial basal cell density and the corneal sub-basal nerve plexus density (SND). We here used IVCM to evaluate changes in SND to improve LSCD classification.
We evaluated and classified 38 patients (76 eyes, 44 with LSC and 32 control eyes) using the Rama, López-García and Deng (clinical and confocal) classifications and evaluated the concordance of the confocal and clinical classifications. We constructed a logistic regression model using multivariate analysis to correlate different degrees of conjunctivalisation with IVCM parameters and used receiver operating characteristic (ROC) curve analysis to establish the SND cut-off value with maximum diagnostic sensitivity and specificity.
The classification systems correlated moderately at best (kappa, 0.449). The corneal SND of cases (6469±6295 µm/mm) was less (p<0.001) than in controls (20911±4142 µm/mm). The SND, but not basal cell density, played a protective role against conjunctivalisation (OR, 0.069; 95% CI 0.008-0.619; p=0.01). An SND cut-off value of 17 215 µm/mm yielded a sensitivity and specificity of 95.5% and 90.6%, respectively, for LSCD diagnosis.
The density of the corneal sub-basal nerve plexus was inversely related to conjunctivalisation in LSCD. Further studies are needed to verify this and to elucidate the directionality between these factors.
背景/目的: 角膜缘干细胞缺乏症(LSCD)的特征是角膜缘干细胞明显减少。它主要通过主观裂隙灯观察进行分类。活体共聚焦显微镜(IVCM)可以无创地提供有关角膜缘微环境、角膜上皮基底细胞密度和角膜下神经丛密度(SND)的客观信息。我们在此使用 IVCM 来评估 SND 的变化,以改善 LSCD 分类。
我们使用 Rama、López-García 和 Deng(临床和共聚焦)分类法评估和分类了 38 名患者(76 只眼,44 只患有 LSC 和 32 只对照眼),并评估了共聚焦和临床分类的一致性。我们使用多元分析构建了逻辑回归模型,以将不同程度的结膜化与 IVCM 参数相关联,并使用接收器操作特征(ROC)曲线分析来确定具有最大诊断灵敏度和特异性的 SND 截断值。
分类系统的相关性最好也只是中等(kappa,0.449)。病例的角膜 SND(6469±6295µm/mm)低于对照组(20911±4142µm/mm)(p<0.001)。SND 而不是基底细胞密度对结膜化起到保护作用(OR,0.069;95%CI 0.008-0.619;p=0.01)。SND 截断值为 17215µm/mm 时,LSCD 诊断的灵敏度和特异性分别为 95.5%和 90.6%。
在 LSCD 中,角膜下神经丛密度与结膜化呈负相关。需要进一步研究来验证这一点,并阐明这些因素之间的方向性。