2021
DOI: 10.1101/2021.08.16.21262104
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External validation of 4C ISARIC mortality score in the setting of a Saudi Arabian ICU. Retrospective study

Abstract: COVID-19 pandemic has burdened healthcare systems, necessitating the development of mortality prediction scores to guide clinical decisions and resource allocation. 4C ISARIC mortality score was developed and validated on a British cohort. Objectives: External validation of the score in the setting of a large Saudi Arabian ICU. Method: Retrospective chart review of COVID 19 patients admitted to ICU of King Saud Medical City, Riyadh, Saudi Arabia. Collecting data to calculate the score, then fitting a ROC curv… Show more

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Cited by 2 publications
(2 citation statements)
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“…However; previous publications highlighted that death of COVID-19 patients usually is not a direct result of the viral infection itself, but rather due to the complications that accompany the infection, such as Acute Respiratory Distress Syndrome (ARDS) following a cytokine storm, super-added infections, multi-organ failure, and septic shock 25 , which most probably would be the case in severe presentations of the disease. This can be observed in our results as a younger age, closer to normal INR and BUN of survivors, in addition to the association of those parameter with mortality in the logistic regression model, since age of the patient is definitely a contributing factor in the severity of the presentation, to the extent that it is incorporated in mortality risk prediction models 26 , and disturbed physiological parameters also indicate a more severe presentation.…”
Section: Discussionsupporting
confidence: 71%
“…However; previous publications highlighted that death of COVID-19 patients usually is not a direct result of the viral infection itself, but rather due to the complications that accompany the infection, such as Acute Respiratory Distress Syndrome (ARDS) following a cytokine storm, super-added infections, multi-organ failure, and septic shock 25 , which most probably would be the case in severe presentations of the disease. This can be observed in our results as a younger age, closer to normal INR and BUN of survivors, in addition to the association of those parameter with mortality in the logistic regression model, since age of the patient is definitely a contributing factor in the severity of the presentation, to the extent that it is incorporated in mortality risk prediction models 26 , and disturbed physiological parameters also indicate a more severe presentation.…”
Section: Discussionsupporting
confidence: 71%
“…The scores used for such comparisons were chosen based on two conditions: (1) they had already been evaluated for COVID-19 in other studies, and (2) they used parameters that were available within our database, with accessible methods for calculation (described in a previous publication). They are SOFA ( 15 ), SAPS-3 ( 16 , 17 ), NEWS2 ( 18 ), 4C Mortality Score ( 19 , 20 ), SOARS ( 21 ), CURB-65 ( 22 ), and a novel severity score developed by Altschul et al ( 23 ). A modified version of the CHA2DS2-VASc score tested in a previous publication to assess mortality in ICU COVID-19 patients (scoring for male sex instead of female) was included in the comparison as well ( 24 ).…”
Section: Methodsmentioning
confidence: 99%