Pult Heiko, Riede-Pult Britta H, Nichols Jason J
Optometry and Vision Research, Weinheim, Germany.
Optom Vis Sci. 2012 Mar;89(3):E310-5. doi: 10.1097/OPX.0b013e318244e487.
To analyze relations between upper lid (UL) and lower lid (LL) meibomian gland (MG) morphology and tear film and the MG criteria ability to predict dry eye.
MG, lipid layer, and non-invasive break-up time (NIBUT) were evaluated of the OD of 20 randomly selected subjects (female = 10; median age = 44.5 years, interquartiles = 39.5 to 55 years). Subjects were grouped into nine Ocular Surface Disease Index (OSDI)- and 11 OSDI+ by the OSDI. Non-contact infrared meibography and image analysis were performed to evaluate MG loss, MG thickness, and MG bent angle.
MG loss (Pearson correlation; r = 0.647, p = 0.003) and MG bent angle (r = 0.489, p = 0.027) were significantly correlated between lids, but MG thickness was not (r = -0.059, p = 0.413). MG loss was significantly (t-test; p = 0.048) less in the UL (median = 26.9%; LL = 32.3%), thicker in the LL (p < 0.001) and were more bent in the LL (p = 0.001). MG loss was significantly correlated to lipid-layer thickness (r < -0.597, p < 0.003) and NIBUT (r < -0.453, p < 0.030), whereas MG thickness and bent angle of the UL only were related to NIBUT (r < -0.563, p < 0.018). Combining MG loss of both lids (linear regression analysis) resulted in the best predictive ability of OSDI± (area under the receiver operative characteristic curve = 0.929, p = 0.001).
MG scores between lids were significantly different but correlated. MG loss was significantly correlated to tear film characteristics including lipid layer thickness and stability. MG thickness and bent angle of the UL were related to NIBUT. The combination of both lids' MG loss showed best predictive ability of dry eye.
分析上睑（UL）和下睑（LL）睑板腺（MG）形态与泪膜之间的关系，以及MG标准预测干眼的能力。
对20名随机选取的受试者（女性10名；年龄中位数 = 44.5岁，四分位数间距 = 39.5至55岁）的右眼进行MG、脂质层和非侵入性泪膜破裂时间（NIBUT）评估。根据眼表疾病指数（OSDI）将受试者分为9名OSDI-和11名OSDI+。采用非接触式红外睑板腺照相术和图像分析评估MG缺失、MG厚度和MG弯曲角度。
睑间MG缺失（Pearson相关性；r = 0.647，p = 0.003）和MG弯曲角度（r = 0.489，p = 0.027）显著相关，但MG厚度不相关（r = -0.059，p = 0.413）。UL的MG缺失显著较少（t检验；p = 0.048）（中位数 = 26.9%；LL = 32.3%），LL的MG较厚（p < 0.001）且弯曲度更大（p = 0.001）。MG缺失与脂质层厚度显著相关（r < -0.597，p < 0.003）和NIBUT显著相关（r < -0.453，p < 0.030），而仅UL的MG厚度和弯曲角度与NIBUT相关（r < -0.563，p < 0.018）。综合两睑的MG缺失（线性回归分析）对OSDI±具有最佳预测能力（受试者操作特征曲线下面积 = 0.929，p = 0.001）。
睑间MG评分存在显著差异但具有相关性。MG缺失与包括脂质层厚度和稳定性在内的泪膜特征显著相关。UL的MG厚度和弯曲角度与NIBUT相关。两睑MG缺失的组合对干眼具有最佳预测能力。
