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问卷在确定隐形眼镜引起的干眼症中的有效性。

The effectiveness of questionnaires in the determination of Contact Lens Induced Dry Eye.

机构信息

University of Applied Science, Jena, Germany.

出版信息

Ophthalmic Physiol Opt. 2009 Sep;29(5):479-86. doi: 10.1111/j.1475-1313.2009.00658.x.

Abstract

PURPOSE

This study investigates how well the recently introduced Ocular Comfort Index (OCI) and the more established McMonnies Dry Eye Index are able to detect contact lens induced dry eye (CLIDE).

METHODS

Seventy volunteer contact lens wearers (mean age = 28.7 +/- 8.0; 52 female, 18 male) were grouped as CLIDE positive or CLIDE negative depending on three sets of criteria: Method I: objective (tear meniscus height, lid parallel conjunctival folds, phenol red thread test and tear break-up time); Method II: objective and/or subjective [contact lens dry eye questionnaire (CLDEQ)] (i.e. being positive by Method I and/or Method III); Method III: subjective (CLDEQ). Symptoms were measured using the McMonnies Dry Eye Index and the OCI. Discrimination was analysed by the receiver operating characteristic (ROC) curves; positive predictive values (PPV) and cut-off values were calculated.

RESULTS

ROC results for Methods I and II were statistically significant only for the McMonnies (p = 0.008; p < 0.001; respectively). In Method III ROC results were statistically significant for both the McMonnies (p = 0.001) and OCI (p = 0.005). The McMonnies showed the best prediction of Method I [0.646/10.5 (PPV/cut-off value)], while the OCI gave the best predictability in Method III only (0.518/30.6).

CONCLUSION

A McMonnies scoring of > or = 10.5 or an OCI scoring of > or = 30.6 indicates CLIDE. The McMonnies performs better in prediction of CLIDE than the OCI.

摘要

目的

本研究旨在探讨新近引入的眼舒适度指数(OCI)和更为成熟的麦克蒙尼干眼病指数(McMonnies Dry Eye Index)在检测隐形眼镜相关干眼症(CLIDE)方面的效果。

方法

70 名志愿佩戴隐形眼镜的患者(平均年龄=28.7±8.0;52 名女性,18 名男性)根据以下三组标准分为 CLIDE 阳性或 CLIDE 阴性组:方法 I:客观指标(泪膜高度、眼睑平行结膜褶皱、苯酚红线试验和泪膜破裂时间);方法 II:客观指标和/或主观指标[隐形眼镜干眼问卷(CLDEQ)](即通过方法 I 和/或方法 III 阳性);方法 III:主观指标(CLDEQ)。使用麦克蒙尼干眼病指数和 OCI 测量症状。通过受试者工作特征(ROC)曲线分析鉴别力;计算阳性预测值(PPV)和截断值。

结果

仅方法 I 和 II 的麦克蒙尼 ROC 结果具有统计学意义(p=0.008;p<0.001)。在方法 III 中,麦克蒙尼和 OCI 的 ROC 结果均具有统计学意义(p=0.001;p=0.005)。麦克蒙尼对方法 I 的预测最佳[0.646/10.5(PPV/截断值)],而 OCI 仅在方法 III 中具有最佳预测能力(0.518/30.6)。

结论

麦克蒙尼评分≥10.5 或 OCI 评分≥30.6 提示 CLIDE。麦克蒙尼在预测 CLIDE 方面优于 OCI。

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