Introduction: Predicting disease severity is important for treatment decisions in patients with
COVID-19 in the intensive care unit (ICU). Different biomarkers have been investigated in …

Background: Inflammatory cytokines have been implicated in the pathophysiology and
prognosis of severe COVID-19. Inflammatory biomarkers may guide the clinician in making …

This study aimed to develop risk scores based on clinical characteristics at presentation to
predict intensive care unit (ICU) admission and mortality in COVID-19 patients. 641 …

Background Despite the necessity, there is no reliable biomarker to predict disease severity
and prognosis of patients with COVID-19. The currently published prediction models are not …

Objective Intensive care unit (ICU) admission occurs at different times during hospitalization
among patients with COVID-19. We aimed to evaluate the time-dependent receive operating …

Background COVID-19 pandemic has rapidly required a high demand of hospitalization and
an increased number of intensive care units (ICUs) admission. Therefore, it became …

Background Currently, good prognosis and management of critically ill patients with COVID-
19 are crucial for developing disease management guidelines and providing a viable …

The appearance of COVID-19 in Wuhan, China, in 2019, and the severe pulmonary disease
it causes in some patients with criteria of acute respiratory distress syndrome (ARDS) added …

Background: Although several studies have been launched towards the prediction of risk
factors for mortality and admission in the intensive care unit (ICU) in COVID-19, none of …

Objectives To adopt a multi-state risk prediction model for critical disease/mortality outcomes
among hospitalised COVID-19 patients using nationwide COVID-19 hospital surveillance …