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新生儿败血症新生儿败血症风险预测名录的开发在B组链球菌殖民的母亲:一个回顾性研究
Mengqi Wu1,2, Yanbing Deng1, Xinye Wang1
1Center for Reproductive Medicine, Department of Pediatrics, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, 310014, Zhejiang, China.
Scientific reports
|March 7, 2024
概括
这项研究确定了新生儿临床败血症的关键风险因素,包括26岁以下的母亲年龄,妊娠期糖尿病,辅助分娩,带问题和男性性别. 结合这些因素的预测模型在识别败血症风险方面表现出很好的准确性.
科学领域:
- 新生儿医学 新生儿医学
- 临床流行病学临床流行病学
- 生物统计学 生物统计学
背景情况:
- 新生儿临床败血症是一个重大的全球卫生挑战.
- 早期识别和干预对于改善婴儿结果至关重要.
- 预测模型可以帮助医疗保健专业人员进行风险评估.
研究的目的:
- 为了确定新生儿临床败血症的独立风险因素.
- 开发和验证新生儿临床败血症的预测模型.
- 加强临床决策和改善患者的治疗结果.
主要方法:
- 在中国一家三级医院进行的回顾性队列研究 (2018年10月 - 2024年1月).
- 多变量物流回归分析以确定风险因素.
- 使用诺曼图表和网络计算器 (DCA) 开发和内部验证预测模型.
主要成果:
- 确定了五个独立的风险因素:母亲年龄<26岁,母亲妊娠期糖尿病,子辅助分娩,带绕和男性新生儿性别.
- 预测模型在建模数据集中实现了曲线下的面积 (AUC) 0.713 (95% CI 0.635-0.773).
- 内部验证证实了该模型的预测性能,AUC为0.711 (95%CI为0.592-0.808).
结论:
- 一个包含五个关键风险因素的验证预测模型可以有效地识别患有临床败血症风险的新生儿.
- 该模型可以支持医疗保健专业人员及时做出明智的临床决策.
- 该模型的实施有可能改善新生儿的临床管理和结果.
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