根据新生儿成熟度确定最佳氧和目标范围:决策树分析示范
Thomas E Bachman1, Narayan P Iyer2, Christopher J L Newth2
1Faculty of Biomedical Engineering, Czech Technical University in Prague, 272 01 Kladno, Czech Republic.
Diagnostics (Basel, Switzerland)
|November 14, 2023
概括
决策树分析揭示了新生儿的最佳SPO2目标范围. 具体范围如91-95%和92-96%将风险降到最低,特别是在早产儿身上,这表明有可能降低发病率和死亡率.
科学领域:
- 新生儿重症监护室新生儿重症监护室
- 机器学习在医学中的应用.
- 儿科呼吸系统监测 儿童呼吸系统监测
背景情况:
- 在新生儿中优化氧和 (SpO2) 目标对于预防并发症至关重要.
- 新生儿成熟度,以月经后年龄 (PMA) 表示,影响与SpO2水平相关的风险.
- 了解SpO2目标,PMA和氧化风险之间的相互作用对于临床决策至关重要.
研究的目的:
- 利用决策树机器学习来探索SpO2目标范围,新生儿成熟度和极端动脉氧气水平风险 (氧化风险) 之间的相互作用.
- 在新生儿重症监护室 (NICU) 群体中,确定最佳的SpO2目标范围,最大限度地降低不同月经后年龄 (PMA) 的氧化风险.
主要方法:
- 一项观察性研究分析了3年来从NICU获得的7500个配对SpO2和PaO2数据点.
- 使用分类和回归树 (CHAID) 决策树方法来评估六个SpO2目标范围 (88-97%) 的风险.
- 使用重度加权的动脉氧气水平在新生儿正常范围 (50-80 mmHg) 外的平均值来量化氧化风险.
主要成果:
- 最低的SpO2目标范围 (例如88-92%) 与最高的氧化危险相关.
- 91-95%和92-96%的SpO2范围显示出与此相关的风险最低.
- 最佳的SpO2目标因PMA而异,所有范围显示PMA≥42周的风险最低,早产婴儿 (PMA≤34周) 最受益于92%-96%的目标范围.
结论:
- 决策树分析有效地证明了分析复杂新生儿数据的实用性.
- 偏离典型值的SpO2目标范围可能会显著降低新生儿发病率和死亡率.
- 建议通过前性随机试验进行进一步的调查,以验证这些发现并指导临床实践.
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