眼睛的聚焦能力可以预测1型糖尿病患者的糖化血红蛋白水平
Bright Vandyke Okyere1,2, Benedict Ayobi3, Hope Katumba4
1Department of Optometry, Faculty of Health Sciences University of Free State Bloemfontein South Africa.
Health science reports
|September 2, 2025
概括
简单的眼睛适应测试,如接近适应点 (NPA),可以预测1型糖尿病患者的糖化血红蛋白 (HbA1c) 水平. 这为目前的诊断方法提供了非侵入性的,经济高效的替代方案.
科学领域:
- 眼科 眼科
- 内分泌学
- 生物医学工程
背景情况:
- 糖化血红蛋白 (HbA1c) 对于糖尿病的诊断和监测至关重要.
- 目前的HbA1c测试是侵入性的,昂贵的,并且患者的遵从性很低.
- 眼部适应功能提供了一个潜在的非侵入性替代措施.
研究的目的:
- 调查是否可以通过简单的,非侵入性的眼部适应措施预测1型糖尿病患者的HbA1c水平.
- 为了比较1型糖尿病患者和健康对照者的适应性功能.
主要方法:
- 一个单个检查者盲目的研究,比较1型糖尿病患者和对照者的近点适应 (NPA) 和滞后适应 (LoA).
- 通过Push-up-to-blur测量NPA;通过单眼估计方法 (MEM) 视网膜镜测量LoA.
- 使用治疗点 (POC) HbA1c分析仪测量糖化血红蛋白;用t测试,相关分析和结构方程建模 (SEM) 分析数据.
主要成果:
- 与对照组相比,糖尿病患者的平均NPA显著下降 (15. 16厘米) 和平均适应幅度 (AoA) (6. 6D).
- 糖尿病患者的平均LoA值显著高于对照组 (0. 983D).
- 控制年龄和糖尿病持续时间的SEM分析显示,NPA是HbA1c的显著预测因子 (β=0. 345,p<0. 001),而LoA则没有显著预测HbA1c (β=0. 005,p=0. 993).
- SEM模型解释了HbA1c38.7%的差异.
结论:
- 在1型糖尿病患者中,眼部适应功能受到显著影响,表明对这种疾病的敏感性.
- 适应性功能评估,特别是NPA,为评估HbA1c水平提供了简单,非侵入性和成本效益的方法.
- 适应滞后 (LoA) 不是HbA1c水平的可靠预测指标.
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