基于风险因素的模型,预测泰国早产婴儿的早产严重视网膜病变
Natthapicha Najmuangchan1, Sopapan Ngerncham1, Saranporn Piampradad2
1Division of Neonatology, Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Indian journal of ophthalmology
|April 22, 2024
概括
在早产婴儿中,早产视网膜病变 (ROP) 的新风险因子算法可以显著减少眼科检查. 该模型有助于识别需要ROP查的婴儿,提高新生儿护理的效率.
科学领域:
- 新生儿眼科新生儿眼科
- 公共卫生 公共卫生
- 医疗信息学 医疗信息学
背景情况:
- 早产视网膜病变 (ROP) 是早产婴儿视力损伤的主要原因之一.
- 目前的查方案可能会导致低风险婴儿不必要的眼科检查.
- 开发准确的预测模型可以优化ROP选策略.
研究的目的:
- 在泰国早产婴儿中创建严重ROP的预测模型.
- 为了减少对低风险婴儿的不必要的眼科检查.
- 为了确定严重ROP的关键风险因素.
主要方法:
- 对早产婴儿进行ROP查的回顾性队列研究 (2009年9月 - 2020年12月).
- 开发一个预测得分模型和基于风险因素的算法,使用多变量逻辑回归.
- 分析独立的风险因素,包括妊娠年龄,出生体重,类固醇使用和补充氧气.
主要成果:
- 该研究包括845名早产婴儿,ROP患病率为26.2%.
- 确定了关键的风险因素:妊娠年龄,出生体重,产前/产后使用类固醇,氧气持续时间和体重增加.
- 基于风险因素的算法显示了100%的灵敏度和100%的NPV,使眼科检查减少了43% (修改) 到71% (未修改).
结论:
- 基于风险因素的算法有效地减少了不必要的ROP眼科检查.
- 开发的模型保持了严重ROP风险的婴儿的安全.
- 为临床实施,建议对预测模型进行前性验证.
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