通过电子记录验证和更新OHTS-EGPS模型,预测眼睛高血压患者在5年内发生眼风险,使用电子记录进行验证和更新
David M Wright1, Augusto Azuara-Blanco2, Chris Cardwell1
1Centre for Public Health, Queen's University Belfast, Belfast, UK.
Ophthalmology. Glaucoma
|November 6, 2024
概括
这项研究验证了眼睛高血压治疗研究-欧洲玻璃眼膜炎预防研究 (OHTS-EGPS) 模型,用于预测眼睛高血压 (OHT) 患者的玻璃眼膜炎转化. 一个重新装配的模型显示了适度的性能改善,但建议对不同人群采取谨慎措施.
科学领域:
- 眼科医生 眼科 眼科
- 公共卫生 公共卫生
- 生物统计学 生物统计学
背景情况:
- 眼睛高血压 (OHT) 是青光眼的前体,是不可逆转失明的主要原因.
- 准确的风险预测模型对于及时干预和青光眼预防至关重要.
- 眼睛高血压治疗研究-欧洲玻璃眼病预防研究 (OHTS-EGPS) 模型被广泛使用,但需要外部验证.
研究的目的:
- 通过外部验证和更新OHTS-EGPS风险预测模型来预测青光眼转换的风险.
- 通过使用电子医疗记录 (EMR) 在大量的当代英语人口中评估模型的性能.
- 通过将OHTS模型与本地数据重新调整来改进眼风险预测.
主要方法:
- 利用了9030名OHT患者的EMR数据,这些数据来自英国10家医院的玻璃眼病诊所.
- 包括风险因素,如年龄,种族,IOP,角膜厚度和视野参数.
- 基于视觉现场测试和需要进行眼外科手术的定义眼转换.
- 采用元分析来组合辨别能力 (c指数) 和校准 (校准斜率).
主要成果:
- OHTS-EGPS模型显示了0.61的c指数,这表明歧视能力有限.
- 聚合的校准斜率为0.45,表明校准不佳.
- 一个重新装配的模型表现出更好的性能,其c指数为0.67.
- 16.9%的OHT患者在随访期间转化为青光眼.
结论:
- 外部验证显示OHTS-EGPS模型在这个英语队列中的性能不足.
- 重新调整模型导致预测青光眼转换的适度改进.
- 在将OHTS-EGPS模型应用于与原始研究中不同的人群时,建议谨慎.
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