Is It Possible to Predict Respiratory Evolution in COVID-19 Patients?

Barbas, Carmen Sílvia Valente; Mazza, Bruno Franco

doi:10.1159/000524043

Cited by 2 publications

(6 citation statements)

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“…Our research demonstrates a connection between invasive ventilation and unfavourable results (95% mortality in patients with invasive ventilation while 46% mortality in patients managed non-invasively). Previous research has demonstrated that the need for invasive ventilation may be brought on by hypoxia [ 6 , 9 , 11 , 14 ]. Our study conciliates with this data.…”

Section: Discussionmentioning

confidence: 99%

“…Thus, non-invasive and invasive mechanical ventilatory supports are used depending on the situation [ 3 , 4 ]. When predicting respiratory failure and the need for ventilatory support, it is important to take into account a number of variables, such as clinical profile, disease progression, and pre-existing diseases [ 1 , 2 , 3 , 4 , 6 ]. As a result, the majority of models for this purpose are too complicated to be useful [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

“…Hospital resources in underdeveloped nations like ours can be severely strained in epidemics like Covid-19 [ 5 , 8 ]. A tool that could accurately anticipate the likely requirement for mechanical ventilation at initial point of contact with the healthcare system, would contribute in better planning and resource allocation [ 6 , 7 , 8 , 9 ]. Biochemical parameters correlate well with factors like oxygenation status and the pathophysiological processes linked to unfavourable outcomes.…”

Section: Introductionmentioning

confidence: 99%

“…Biochemical parameters correlate well with factors like oxygenation status and the pathophysiological processes linked to unfavourable outcomes. These can not only be used to predict respiratory failure but also the type of ventilatory support that these patients may require in intensive management [ 6 , 7 , 8 , 9 , 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, routine laboratory parameters are used for effective patient monitoring in intensive care [ 10 , 13 – 14 ]. Based on these we assume that biochemical parameters can predict respiratory failure and thus can provide crucial details about the requirement of type of ventilation in the effective management of COVID-19 patients [ 6 – 7 , 9 , 10 , 11 , 12 , 13 , 14 ]. The majority of the studies on biochemical parameters in COVID-19 patients focus solely on their role as prognostic indicator of mortality.…”

Section: Introductionmentioning

confidence: 99%

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Study of Biochemical Parameters as Predictors for Need of Invasive Ventilation in Severely Ill COVID-19 Patients

Ansari,

Pitamberwale,

Ansari

et al. 2023

The Journal of Critical Care Medicine

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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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Section: Discussionmentioning

confidence: 99%