2022
DOI: 10.7759/cureus.28594
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Biochemical Parameters as Prognostic Markers in Severely Ill COVID-19 Patients

Abstract: BackgroundPrognostication plays a pivotal role in critical care medicine. Its importance is indisputable in the management of coronavirus disease 2019 (COVID-19), as the presentation of this disease may vary from docile, self-limiting symptoms to lethal conditions. Amid the COVID-19 pandemic, much emphasis was initially placed on molecular and serological testing. However, it was realized later that routine laboratory tests also provide key information in terms of the severity of the disease and thus could be … Show more

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Cited by 8 publications
(15 citation statements)
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References 29 publications
(103 reference statements)
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“…The area under the ROC curve was estimated for each biomarker combination (SPSS Software, IBM SPSS Statistics) to assess the aggregate performance. An AUC value in the range of 0.6–0.7, 0.7–0.8, 0.8–0.9, and 0.9–1.0 are considered acceptable, fair, good and excellent for classification, respectively 24 . Optimum thresholds were identified for biomarkers with AUC value greater than 0.6 24 based on sensitivity and specificity using two different methods, namely, by estimating the maximum Youden's Index, and the threshold corresponding to a minimum distance from (0,1) 25,26 …”
Section: Methodsmentioning
confidence: 99%
“…The area under the ROC curve was estimated for each biomarker combination (SPSS Software, IBM SPSS Statistics) to assess the aggregate performance. An AUC value in the range of 0.6–0.7, 0.7–0.8, 0.8–0.9, and 0.9–1.0 are considered acceptable, fair, good and excellent for classification, respectively 24 . Optimum thresholds were identified for biomarkers with AUC value greater than 0.6 24 based on sensitivity and specificity using two different methods, namely, by estimating the maximum Youden's Index, and the threshold corresponding to a minimum distance from (0,1) 25,26 …”
Section: Methodsmentioning
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%
“…It is known that pathophysiological changes related to severe illness are bound to be reflected in terms of the alteration of biochemical parameters. 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 ].…”
Section: Introductionmentioning
confidence: 99%
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