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在早产婴儿中建立和验证呼吸暂停风险预测模型:一个回顾性病例对照研究
Xiaodan Xu1, Lin Li2, Daiquan Chen3
1Zhongshan Hospital Affiliated to Xiamen University, Xiamen, Fujian Province, 361000, China.
BMC pediatrics
|October 11, 2024
概括
这项研究开发了一种风险预测模型,用于早产婴儿的呼吸暂停. 该模型使用妊娠年龄,出生时间,阿普加尔得分和呼吸困扰综合征,准确识别高风险婴儿以改善预后.
科学领域:
- 新生儿医学 新生儿医学
- 儿科肺病学 儿科肺病学
- 临床预测建模临床预测建模
背景情况:
- 呼吸暂停是早产婴儿常见和严重的疾病,经常导致缺氧损伤.
- 早期识别呼吸暂停风险对于改善早产婴儿的预后至关重要.
研究的目的:
- 构建和验证一个预测模型来评估早产婴儿的呼吸暂停风险.
- 确定高风险的早产婴儿群体,以进行有针对性的干预.
主要方法:
- 对486名早产婴儿 (162名有呼吸暂停,324名对照) 的回顾性分析.
- 使用最小绝对收缩和选择运算符 (LASSO) 和用于变量选择和模型构建的后勤回归.
- 使用ROC曲线,校准曲线和决策曲线进行名图可视化和验证.
主要成果:
- 怀孕年龄,出生时间,阿普加尔评分和新生儿呼吸困扰综合征被确定为呼吸暂停的关键预测因素.
- 该模型表现出良好的匹配 (C指数=0.831) 和预测效率,通过ROC和校准曲线验证.
- 决策曲线分析证实了预测模型的临床实用性.
结论:
- 一个经过验证的风险预测模型,包括妊娠年龄,出生时间,Apgar分数和新生儿呼吸困扰综合征,可以有效预测早产婴儿的呼吸暂停.
- 该模型具有良好的预测效率和临床实用性,有助于识别高风险新生儿.
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