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验证三个基于体重增加的算法作为查工具来检测早产视网膜病变:一个多中心研究

Lina Raffa¹, Aliaa Alamri², Amal Alosaimi³

¹Department of Ophthalmology, King Abdulaziz University Hospital; Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.

Indian journal of ophthalmology

|June 16, 2023

概括

温罗普和ROPScore在早产婴儿中检测早产视网膜病变 (ROP) 的灵敏度达到100%. 然而,低特异性表明需要量身定制的算法来准确识别面临视力威胁ROP风险的婴儿.

科学领域:

眼科医生眼科眼科
新生儿科学新生儿科学
医疗信息学医疗信息学

背景情况:

早产性视网膜病变 (ROP) 查指南经常更新.
准确识别患有1型ROP风险的婴儿对于及时干预至关重要.

研究的目的:

为了评估三个预测算法的诊断准确性:WINROP,ROPScore和CO-ROP.
评估在发展中国家的背景下,在早产婴儿中检测ROP的有效性.

主要方法:

对386名早产婴儿 (妊娠年龄≤30周和/或出生体重≤1500克) 的回顾性研究.
从2015年至2021年期间从两个中心收集的数据.
分析ROP选结果和算法性能.

主要成果:

123名新生儿 (31.9%) 发生了ROP.
温罗普和ROPScore证明了对1型ROP的100%灵敏度.
具体性是低的:WINROP (28%),ROPScore (1.4%),CO-ROP (19.3%). 这是一个非常好的方法.
温罗普在1型ROP中表现最好 (AUC为0.61).

结论:

温罗普和ROPScore提供高灵敏度,但缺乏1型ROP的特异性.
建议开发特定于人群的,高度特定的算法.
这种工具可以帮助检测有视力威胁的ROP风险的早产婴儿.

关键词:

这就是CO-ROP.在ROPScore中获得的分数.在WINROP上,您可以使用WINROP.预产期前的时间.过早生育的视网膜病变

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