2 型糖尿病患者和非糖尿病患者的干眼症患病率:一项基于医院的横断面研究。

Sedoten Dagbeyon Bashorun, Bolanle Grace Balogun, Olajumoke Ibidapo, Adedapo Olufemi Bashorun
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引用次数: 0

摘要

目的和目标:干眼症(DED)是一种影响个人生活质量的常见疾病。本研究旨在估算尼日利亚拉各斯州立大学教学医院就诊的成年患者中 DED 的患病率,并确定潜在的风险因素:这是一项以医院为基础的横断面研究,旨在确定 DED 在 2 型糖尿病患者和非糖尿病患者中的患病率。研究共招募了 200 名成年参与者,其中 100 名为 2 型糖尿病患者,100 名为非糖尿病患者。研究人员发放了一份症状筛查标准患者干燥评估问卷,并进行了荧光素破裂时间测试以诊断 DED:平均年龄为 61.4 岁(±11.7 SD),大多数为女性(146 人,72.86%)。使用标准的患者干燥评估问卷,87.31%的研究参与者有 DED 症状。糖尿病患者中 DED 的比例为 63.95%,而非糖尿病患者中 DED 的比例为 68.37%,非糖尿病组的比例明显更高(比例差异为 16.47%,P = 0.006)。糖尿病患者和非糖尿病患者的发病率无明显差异。逻辑回归分析显示,糖尿病病程延长和年龄增长分别是糖尿病组和非糖尿病组 DED 的重要预测因素:结论:在我们的研究人群中,DED的患病率很高,糖尿病患者糖尿病病程的延长和非糖尿病患者年龄的增大与DED有很大关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence of Dry Eye Disease in Type 2 Diabetic and Non-Diabetics: A Cross-Sectional Hospital-Based Study.

Aims and objectives: Dry eye disease (DED) is a common condition that affects the quality of life of may individuals. This study aims to estimate the prevalence of DED and identify potential risk factors in adult patients seeking care at Lagos State University Teaching Hospital., Nigeria.

Materials and methods: This was a cross-sectional, hospital-based study that aimed to determine the prevalence of DED in type 2 diabetic and non-diabetic patients. A total of 200 adult participants-100 with type 2 diabetes and 100 non-diabetic patients, were recruited into the study. A symptom screening standard patient evaluation for dryness questionnaire was administered and a fluorescein break-up time test was done to diagnose DED.

Results: The mean age was 61.4 years (±11.7 SD) and most were females (146, 72.86%). Using the standard patient evaluation for dryness questionnaire, 87.31% of the study participants had symptom(s) of DED. The proportion of DED in diabetics was 63.95% while in the non-diabetics was 68.37%, and this was significantly higher in the non-diabetic group (proportion difference of 16.47%, P = 0.006).The prevalence of DED as measured by the fluorescein break-up time was 55.81% (95% CI: 48.39-63.24). There was no significant difference in prevalence between diabetic and non-diabetic participants. Logistic regression analysis showed that increased duration of diabetes and age were significant predictors of DED in diabetic and non-diabetic groups, respectively.

Conclusion: The prevalence of DED was high in our study population with increasing duration of diabetes in diabetics and older age in non-diabetics significantly associated with DED.

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