The coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) emerged in December 2019 and has rapidly spread worldwide. The mortality of critical ill patients with COVID-19 has been reported variously as low as 11% and as high as 61%. The application of scoring systems can facilitate the effective evaluation by physicians to screen severe patients. At present, however, there are no specific scoring systems for the evaluation of COVID-19 patients. Scoring systems such as the Sequential Organ Failure Assessment (SOFA) score can help emergency or critical care physicians for prognosis and predicting mortality. The SOFA score described the condition of multiple organ dysfunction through several parameters, including oxygenation index, mean arterial pressure, Glasgow come scale, creatinine or urine volume, bilirubin, platelets for the respiratory, circulatory, neurological, renal, hepatogenic and coagulation systems respectively. The function of each organ system is scored from 0 to 4, and the individual SOFA scores are summed to a total score. Although SOFA was not initially designed to predict mortality, several studies reveal that SOFA could predict morbidity and mortality in severe ill patients.~Besides the SOFA score, the Acute Physiology and Chronic Health Evaluation (Apache II) scores was designed to measure the severity of disease of patients admitted to the ICU and to predict mortality. The Apache II score is calculated based on physiological measurements such as body temperature, mean arterial pressure, pH, heart and respiratory rate, Glasgow coma scale, oxygenation and blood parameters such as sodium, potassium, creatinine, hematocrit and white blood cell count. Recently, the Apache IV score is developed where additional parameters such as admission information, admission diagnosis and chronic health conditions were take into account.
The aim of this study is to evaluate the predictive value for in-hospital mortality of respectively the SOFA and Apache scores in a COVID-19 ICU cohort and to develop a new prediction model for COVID-19 patients admitted to the ICU from 13th of March 2020 until 17th of October 2020.