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在ARDS诊断和治疗生物标志物的进展
Ruiqi Ge1,2, Fengyun Wang1,2, Zhiyong Peng1,2
1Department of Critical Care Medicine, Zhongnan Hospital, Wuhan University, Wuhan 430071, China.
Diagnostics (Basel, Switzerland)
|November 14, 2023
概括
本综述探讨了急性呼吸困扰综合征 (ARDS) 生物标志物的进展,将其分为六类. 机器学习显示出有希望的结果,但在ARDS诊断和治疗的临床应用中仍然存在差距.
科学领域:
- 肺部医学 肺部医学
- 生物标志物研究 生物标志物研究
背景情况:
- 急性呼吸窘迫综合征 (ARDS) 是一种严重的,往往致命的肺部疾病.
- 具有炎症,和低氧化的特征,ARDS需要机械通风或ECMO.
研究的目的:
- 审查ARDS诊断和治疗生物标志物的最新进展.
- 根据其独特的特征对生物标志物进行分类.
主要方法:
- 生物标志物的分类分为六类:炎症性,膜上皮损伤,内皮损伤,凝血/纤维溶解,细胞外矩阵周转和氧化应激.
- 讨论机器学习在生物标志物识别和利用中的作用.
- 审查ARDS生物标志物的临床应用.
主要成果:
- 对ARDS的生物标志物已被分为六个不同的功能组.
- 机器学习为增强ARDS中的生物标志物发现和应用提供了潜力.
- 生物标志物研究取得了显著进展,但临床实用性面临挑战.
结论:
- 持续的研究对于弥合ARDS生物标志物发现与临床实践之间的差距至关重要.
- 应对当前的挑战对于改善ARDS诊断和患者结果至关重要.
- 未来的研究应该专注于将生物标志物进步转化为ARDS管理的有效临床工具.
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