生化指标预测COVID-19重症患者有创通气需求的研究

Pub Date : 2023-11-14 eCollection Date: 2023-10-01 DOI:10.2478/jccm-2023-0030
Azmat Kamal Ansari, Anjali Pitamberwale, Shabana Andleeb Ansari, Tariq Mahmood, Kirti Limgaokar, Geeta Karki, Lalit Singh
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引用次数: 0

摘要

背景:虽然实验室检测已被证明可以预测COVID-19患者的死亡率,但关于生化参数在预测这些患者可能需要的呼吸支持类型方面的作用,仍然缺乏信息。方法:采用回顾性观察性研究,探讨重症COVID-19患者重症监护时生化指标与通气支持类型的关系。我们全面记录了患者的病史、体格检查、POCT设备的生命体征、临床诊断、重症监护所需通气支持的细节以及入院时的生化分析结果。采用适当的统计方法,p值< 0.05为差异有统计学意义。进行受试者工作特征(ROC)分析,曲线下面积(AUC)分别为0.6 ~ 0.7、0.7 ~ 0.8、0.8 ~ 0.9和>0.9,可接受、公平、良好和例外。结论:我们的研究强调生化参数在预测COVID-19重症患者所需呼吸支持类型方面的作用,以便正确管理重症患者。
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Study of Biochemical Parameters as Predictors for Need of Invasive Ventilation in Severely Ill COVID-19 Patients.

Background: Though laboratory tests have been shown to predict mortality in COVID-19, there is still a dearth of information regarding the role of biochemical parameters in predicting the type of ventilatory support that these patients may require.

Methods: The purpose of our retrospective observational study was to investigate the relationship between biochemical parameters and the type of ventilatory support needed for the intensive care of severely ill COVID-19 patients. We comprehensively recorded history, physical examination, vital signs from point-of-care testing (POCT) devices, clinical diagnosis, details of the ventilatory support required in intensive care and the results of the biochemical analysis at the time of admission. Appropriate statistical methods were used and P-values < 0.05 were considered significant. Receiver operating characteristics (ROC) analysis was performed and Area Under the Curve (AUC) of 0.6 to 0.7, 0.7 to 0.8, 0.8 to 0.9, and >0.9, respectively, were regarded as acceptable, fair, good, and exceptional for discrimination.

Results: Statistically significant differences (p<0.05) in Urea (p = 0.0351), Sodium (p = 0.0142), Indirect Bilirubin (p = 0.0251), Albumin (p = 0.0272), Aspartate Transaminase (AST) (p = 0.0060) and Procalcitonin (PCT) (p = 0.0420) were observed between the patients who were maintained on non-invasive ventilations as compared to those who required invasive ventilation. In patients who required invasive ventilation, the levels of Urea, Sodium, Indirect bilirubin, AST and PCT were higher while Albumin was lower. On ROC analysis, higher levels of Albumin was found to be acceptable indicator of maintenance on non-invasive ventilation while higher levels of Sodium and PCT were found to be fair predictor of requirement of invasive ventilation.

Conclusion: Our study emphasizes the role of biochemical parameters in predicting the type of ventilatory support that is needed in order to properly manage severely ill COVID-19 patients.

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