Clinical prediction models in hospitalized patients with COVID-19: A multicenter cohort study

Vedovati, Maria Cristina; Barbieri, Greta; Urbini, Chiara; D'Agostini, Erika; Vanni, Simone; Papalini, Chiara; Pucci, Giacomo; Cimini, Ludovica Anna; Valentino, Alessandro; Ghiadoni, Lorenzo; Becattini, Cecilia

doi:10.1016/j.rmed.2022.106954

Cited by 9 publications

(8 citation statements)

References 30 publications

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“…LDH is a cytoplasmatic enzymes highly expressed in the lung, liver, hearth, kidney and skeletal muscle, generally release in blood after cell death: thus, the lung damage, frequently founded in COVID-19 postmortem pathology [26] , could increase LDH blood levels [27] . The P/F, a parameters widely used to define the severity of Acute Respiratory Distress Syndrome [28] , has already been shown to be able to predict outcome in patients with COVID-19 [29] , [30] ; moreover, one study highlighted its inverse correlation with extension of the pulmonary inflammatory process on CT [31] .…”

Section: Discussionmentioning

confidence: 99%

Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study

Russo

Pisaturo

Luca

et al. 2023

Journal of Infection and Public Health

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Section: Discussionmentioning

confidence: 99%

Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study

Russo

Pisaturo

Luca

et al. 2023

Journal of Infection and Public Health

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“…Martin et al reported that the CURB-65 and the ISARIC-4C have the best discriminant performance in predicting in-hospital COVID-19 mortality when compared to other scores such as the Sequential Organ Failure Assessment (SOFA) [ 41 ]. However, other comparative studies showed significantly lower performance of the CURB-65 score compared to the ISARIC 4C score [ 42 , 43 ].…”

Section: Discussionmentioning

confidence: 99%

Performance of CURB-65 and ISARIC 4C mortality scores for hospitalized patients with confirmed COVID-19 infection in Saudi Arabia

Alwazzeh

Subbarayalu

Ali

et al. 2023

Informatics in Medicine Unlocked

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“…37 The reported AUROC values for APACHE II range between 0.745 and 0.825 for predicting fatal outcomes. 38,39 A SOFA score equal to or greater than 4 is related to MODS, 40 and the reported AUROC values for mortality using the SOFA score range between 0.679 and 0.814. 38,39 However, in our study focusing exclusively on patients with SARS-CoV-2, the AUROC values for APACHE II, SOFA, and 4C scores were lower than those reported in the literature.…”

Section: Discussionmentioning

confidence: 99%

“…38,39 A SOFA score equal to or greater than 4 is related to MODS, 40 and the reported AUROC values for mortality using the SOFA score range between 0.679 and 0.814. 38,39 However, in our study focusing exclusively on patients with SARS-CoV-2, the AUROC values for APACHE II, SOFA, and 4C scores were lower than those reported in the literature. [11][12][13] It is important to note that these scoring systems evaluate a larger number of variables, which contributes to their higher predictive performance.…”

Section: Discussionmentioning

confidence: 99%

Oxygen Debt as Predictor of Mortality and Multiple Organ Dysfunction Syndrome in Severe COVID-19 Patients: A Retrospective Study

Perez-Garzon,

Poveda-Henao,

Bastidas-Goyes

et al. 2023

J Intensive Care Med

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Background: Oxygen debt (DEOx) represents the disparity between resting and shock oxygen consumption (VO2) and is associated with metabolic insufficiency, acidosis, severity, and mortality. This study aimed to assess the reliability of DEOx as an indirect quantitative measure for predicting multiple organ dysfunction syndrome (MODS) and 28-day mortality in patients admitted to the intensive care unit (ICU) with respiratory syndrome severe acute coronavirus type 2 (SARS-CoV-2) infection, in comparison to the Acute Physiology and Chronic Health Evaluation II (APACHE II), sepsis-related organ failure assessment (SOFA), and 4C scores. Methods: A retrospective cohort study was conducted, including ICU patients with SARS-CoV-2 infection between 2020 and 2021. Clinical data were extracted from the EPIMED Monitor Database®. APACHE II, SOFA, and 4C scores were calculated upon ICU admission, and their accuracy in predicting 28-day mortality and MODS was compared to DEOx. Multivariate logistic regression analysis was performed to analyze the outcome variables. Results: 708 patients were included, with a mortality rate of 44.4%. DEOx value was 11.16 ml O2/kg. The mean age was 58.7 years. Multivariate analysis showed that DEOx was independently associated with mortality, intubation, and renal injury. Each point increase in creatinine was associated with a higher risk of MODS. To determine the precision of the scores, area under the receiver operating characteristic curves (AUROC) analysis was performed with weak discrimination and similar behavior for the primary outcomes. The most accurate scale for mortality and MODS was 4C with an AUC of 0.683 and APACHE II with an AUC of 0.814, while that of the AUROC of DEOx was 0.612 and 0.646, respectively. Conclusions: DEOx showed similar predictive value to established scoring systems in critically ill patients with SARS-CoV-2 infection. The correlation of DEOx with these scores may facilitate early intervention in critically ill patients.

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Clinical prediction models in hospitalized patients with COVID-19: A multicenter cohort study

Cited by 9 publications

References 30 publications

Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study

Lactate dehydrogenase and PaO2/FiO2 ratio at admission helps to predict CT score in patients with COVID-19: An observational study

Performance of CURB-65 and ISARIC 4C mortality scores for hospitalized patients with confirmed COVID-19 infection in Saudi Arabia

Oxygen Debt as Predictor of Mortality and Multiple Organ Dysfunction Syndrome in Severe COVID-19 Patients: A Retrospective Study

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