摘要
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 questionnaire about dry eye was surveyed. The multivariate nonconditional 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）/E1 ＋exp（Y）]. The Pvalue 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.
出处
《国际眼科杂志》
CAS
2010年第2期277-279,共3页
International Eye Science
基金
中国广东省深圳市宝安区科研立项资助项目(No.2005202)~~
