研究生物化学参数作为预测严重疾病的COVID-19患者需要侵入性通风的预测因素
Azmat Kamal Ansari1, Anjali Pitamberwale2, Shabana Andleeb Ansari1
1Shri Ram Murti Smarak Institute of Medical Sciences, Bareilly, Uttar Pradesh, India.
概括
生物化学标记物如尿素,,白蛋白,AST和可以预测COVID-19患者需要的呼吸系统支持类型. 较高的白蛋白表明非侵入性支持,而较高的和素表明需要侵入性通风.
科学领域:
- 关键护理医学 关键护理医学
- 临床生物化学 临床生物化学
- 传染性疾病 传染性疾病
背景情况:
- 实验室测试预测了COVID-19死亡率,但没有预测呼吸系统支持需求.
- 关于预测COVID-19患者呼吸系统支持的生物化学标记物的数据有限.
研究的目的:
- 在重症COVID-19患者中调查生化参数和呼吸系统支持类型之间的关系.
- 确定特定的生物化学标记,预测需要侵入性或非侵入性通风的需要.
主要方法:
- 重症COVID-19患者的回顾性观察研究.
- 收集患者病史,体检,生命体征,临床诊断,呼吸系统支持细节和入院生化分析.
- 利用统计方法和接收器操作特征 (ROC) 分析来评估预测值.
主要成果:
- 在非侵入性和侵入性通风组之间,尿素,,间接比利鲁宾,白蛋白,AST和前素 (PCT) 的显著差异 (p<0.05).
- 尿素,,间接胆红素,AST和PCT水平较高,白蛋白水平较低与侵入性通风有关.
- ROC分析表明,较高的白蛋白预测非侵入性通风,而较高的和PCT预测侵入性通风.
结论:
- 生物化学参数在预测严重COVID-19的呼吸系统支持需求方面发挥着至关重要的作用.
- 这些发现可以帮助对重症COVID-19患者进行适当的管理和资源配置.
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