目的:探讨各种眼表因素异常在干眼患者发病中的作用。方法:536例患者中,对其干眼症状及有关的眼表因素(泪液基础分泌、泪膜稳定性、角膜上皮完整性)检查结果量化后进行Logistic回归分析。结果:建立了以烧灼感(X3)、眼红(X4)、睫毛上有碎屑(X5)、晨起眼睑黏着(X6)、口干(X7)、流泪(X9)、视力波动(X12)、泪液基础分泌试验(X13)、泪膜破裂时间测定(X14)、角膜荧光素染色(X15)为变量的干眼发病Logistic回归预测方程:Y=-2.21+0.459X3+10.572X4-0.069X5+0.766X6+0.924X7+0.264X9-1.78X12+7.235X13+4.917X14+5.148X15;P=exp(Y)/[1+exp(Y)]。结论:干眼临床表现特征性明显,致病因素较多。可通过相关因素Logistic回归方程进行预测。

AIM:To explore the correlated factors between multivariate ocular factors and the development of dry eye.·METHODS:Five hundred and thirty-six cases with dry eye were selected and evaluated with a series of ocular testing of the Schirmer test,the tears film stability,the staining with fluorescein sodium on cornea.A question-naire about dry eye was surveyed.The multivariate non-conditional Logistic regression analysis was used to analyze the relation between multivariate ocular factors and the development of dry eye.·RESULTS:The Logistic regression predictive equation for dry eye was:Y=-2.21+0.459 X3+10.572 X4-0.069 X5+0.766 X6+0.924 X7+0.264 X9-1.78 X12+7.235 X13+4.917 X14+5.148 X15;P=exp(Y)/[1+exp(Y)].The P value meant the probability of suffering dry eye.·CONCLUSION:Our data showed that multivariate ocular factors might play a role in the development of dry eye.The clinical features of dry eye are significant for the diagnosis,and it can be predicted by using the suitable logistic predictable equation.

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中国广东省深圳市宝安区科研立项资助项目(No.2005202)~~