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确定出生的新生儿死亡率的最佳预测模型-回顾性队列研究

Maria Livia Ognean¹, Bianca Coțovanu², Dumitru Alin Teacoe^1,2

¹Faculty of Medicine, Lucian Blaga University Sibiu, 550169 Sibiu, Romania.

Healthcare (Basel, Switzerland)

|December 22, 2023

概括

一个新的分数,MSNS-AT,准确地预测了生病新生儿的新生儿死亡率. 这一分数,包括入院的时间,改善了现有的SNS分数,特别是早产婴儿的SNS分数.

科学领域:

新生儿科学新生儿科学
儿科重症监护儿科重症监护
医疗评分系统医学评分系统

背景情况:

新生儿运输对于结果至关重要.
早期识别重病新生儿对于及时干预至关重要.
对于新生儿死亡率缺乏明确的预测评分系统.

研究的目的:

开发一种快速,准确和用户友好的评分,用于预测超产新生儿的死亡率.
改进现有的新生儿死亡率预测评分系统.

主要方法:

在2015-2021年期间接收的418名转移新生儿的回顾性分析.
排除患有严重先天性异常的婴儿.
使用妊娠年龄,出生体重和入院时间开发MSNS-AT得分,并与Sick Neonatal Score (SNS) 进行比较.

主要成果:

在418名婴儿中,有20名婴儿死亡 (4.96%),没有幸存者有较低的妊娠年龄,出生体重和SNS.
住院的时间与整体和早产组的死亡率增加有显著关联.
与SNS (AUC 0.775-0.810) 相比,MSNS-AT得分在总体和早产婴儿死亡率方面显示出更高的预测准确度 (AUC 0.735-0.885).

结论:

新的MSNS-AT得分显著提高了新生儿入院时的死亡率预测,特别是早产婴儿.
住院的时间是决定性因素,与妊娠年龄和出生体重一起,决定出产的早产新生儿的结果.

关键词:

死亡率死亡率新生儿运输新生儿运输新生儿新生儿的新生儿超出出生的人生.评分系统评分系统疾病新生儿得分 (Sick Neonatal Score) 是一个新生儿得分.

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