PURPOSE To describe the distribution of corneal hysteresis (CH) in a large cohort and explore its associated factors and possible clinical applications. DESIGN Cross-sectional study within the UK Biobank, a large cohort study in the United Kingdom. PARTICIPANTS We analyzed CH data from 93 345 eligible participants in the UK Biobank cohort, aged 40 to 69 years. METHODS All analyses were performed using left eye data. Linear regression models were used to evaluate associations between CH and demographic, lifestyle, ocular, and systemic variables. Piecewise logistic regression models were used to explore the relationship between self-reported glaucoma and CH. MAIN OUTCOME MEASURES Corneal hysteresis (mmHg). RESULTS The mean CH was 10.6 mmHg (10.4 mmHg in male and 10.8 mmHg in female participants). After adjusting for covariables, CH was significantly negatively associated with male sex, age, black ethnicity, self-reported glaucoma, diastolic blood pressure, and height. Corneal hysteresis was significantly positively associated with smoking, hyperopia, diabetes, systemic lupus erythematosus (SLE), greater deprivation (Townsend index), and Goldmann-correlated intraocular pressure (IOPg). Self-reported glaucoma and CH were significantly associated when CH was less than 10.1 mmHg (odds ratio, 0.86; 95% confidence interval, 0.79-0.94 per mmHg CH increase) after adjusting for covariables. When CH exceeded 10.1 mmHg, there was no significant association between CH and self-reported glaucoma. CONCLUSIONS In our analyses, CH was significantly associated with factors including age, sex, and ethnicity, which should be taken into account when interpreting CH values. In our cohort, lower CH was significantly associated with a higher prevalence of self-reported glaucoma when CH was less than 10.1 mmHg. Corneal hysteresis may serve as a biomarker aiding glaucoma case detection.

中文翻译：

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人群队列中与角膜滞后的关联：来自96 010个英国生物库参与者的结果。

目的描述大型人群的角膜滞后（CH）分布，并探讨其相关因素和可能的临床应用。设计UK Biobank中的横断面研究，这是英国的一项大型队列研究。参与者我们分析了来自英国Biobank队列中年龄为40至69岁的93 345名合格参与者的CH数据。方法所有分析均使用左眼数据进行。线性回归模型用于评估CH与人口，生活方式，眼和系统变量之间的关联。采用分段逻辑回归模型探讨自我报告的青光眼与CH之间的关系。主要观察指标角膜滞后（mmHg）。结果平均CH为10.6 mmHg（男性为10.4 mmHg，女性为10.8 mmHg）。调整协变量后，CH与男性，年龄，黑人种族，自我报告的青光眼，舒张压和身高显着负相关。角膜滞后与吸烟，远视，糖尿病，系统性红斑狼疮（SLE），更大的剥夺（Townsend指数）和戈德曼相关眼压（IOPg）显着正相关。校正协变量后，当CH小于10.1 mmHg（比值，0.86； 95％置信区间，每mmHg CH增加0.79-0.94）时，自我报告的青光眼和CH显着相关。当CH超过10.1 mmHg时，CH与自我报告的青光眼之间无显着关联。结论在我们的分析中，CH与年龄，性别和种族等因素显着相关，在解释CH值时应考虑这些因素。在我们的队列中 当CH小于10.1 mmHg时，较低的CH与较高的自我报告的青光眼患病率相关。角膜滞后可作为生物标志物，以辅助青光眼病例的检测。