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相关概念视频

Bacterial Gastroenteritis01:18

Bacterial Gastroenteritis

Bacterial gastroenteritis, characterized by diarrhea, abdominal cramps, and vomiting, is often caused by ingestion of contaminated food or water and is frequently associated with pathogenic Escherichia coli strains. These microbes exploit two principal mechanisms to inflict disease.Shiga toxin–producing E. coli, also referred to as STEC—notably O157:H7—release Shiga toxins that target ribosomes, blocking protein synthesis. The B subunit of the toxin binds the host glycolipid receptor...

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A Novel Human Epithelial Enteroid Model of Necrotizing Enterocolitis
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快速进展性死性肠球炎:风险因素和预测模型

Jicheng Li1,2, Jingjing Zhou1,2, Jingwen Weng1,2

  • 1Neonatal Center, Beijing Children's Hospital, Capital Medical University, Beijing, 100045, China.

Pediatric research
|August 15, 2024
PubMed
概括

一个新的预测模型确定了患快速进展性死性肠球炎 (RP-NEC) 的高风险的婴儿,这是一种具有高死亡率的严重疾病. 这个模型有助于早期检测和干预新生儿护理.

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科学领域:

  • 新生儿医学 新生儿医学
  • 儿科手术 儿科手术
  • 关键的护理关键的护理

背景情况:

  • 快速进展性死性肠球炎 (RP-NEC) 是一种严重的死性肠球炎 (NEC) 亚型,死亡率高.
  • 关于预测RP-NEC的研究有限,突出了早期识别策略的必要性.

研究的目的:

  • 建立一个用于识别RP-NEC的婴儿的预测模型.
  • 调查与手术干预或在NEC发病后48小时内死亡相关的风险因素.

主要方法:

  • 从2016年到2023年对新生儿患有NEC (贝尔阶段≥IIB) 的回顾性单中心队列研究.
  • 定义RP-NEC为需要在NEC发作后48小时内进行手术和/或死亡.
  • 使用统计分析确定了独立的风险因素.

主要成果:

  • 在334名婴儿中,有82名婴儿 (24.6%) 被诊断为RP-NEC.
  • RP-NEC的独立风险因素包括低血,高C-反应蛋白,低血小板数,低淋巴细胞数,酸 (pH <7.2) 和.
  • 预测模型显示出高准确度,AUC为0.983.

结论:

  • 结合六个关键因素 (血,CRP,血小板,淋巴细胞,血液气体pH,) 的预测模型对于识别RP-NEC非常有效.
  • 该模型显示出优异的校准,是RP-NEC早期检测和管理的有希望的工具.