TY - JOUR ID - 168955 TI - Predictors of Mortality in Sepsis Patients Resulting from Severe and Critical COVID-19 JO - Journal of Medicinal and Chemical Sciences JA - JMCS LA - en SN - AU - Farhanah, Nur AU - Supriadi, Supriadi AU - Wahjono, Hendro AU - Hadisaputro, Suharyo AU - Hussein Gasem, Muhammad AD - Division of Tropical Medicine and Infectious Diseases, Department of Internal Medicine, Faculty of Medicine, Diponegoro University, Dr. Kariadi Hospital, Semarang, Indonesia AD - Department of Internal medicine, Faculty of Medicine, Diponegoro University, Dr. Kariadi Hospital, Semarang Indonesia AD - Department of Microbiology, Faculty of Medicine, Diponegoro University, Dr. Kariadi Hospital, Semarang Indonesia Y1 - 2023 PY - 2023 VL - 6 IS - 9 SP - 2018 EP - 2027 KW - Neutrophil KW - Lymphocyte KW - ratio (NLR) C KW - reactive protein (CRP) SOFA score APACHE KW - II score Mortality COVID KW - 19 DO - 10.26655/JMCHEMSCI.2023.9.10 N2 - Patients with severe and critical COVID-19 may exhibit sepsis and mortality resulting from multi-organ failure. Neutrophil-lymphocyte-ratio (NLR) values, C-reactive protein (CRP) levels, sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation II (APACHE-II) scores were used to assess the risk of mortality in sepsis patients resulting from severe COVID-19 infection. The adequacy of NLR, CRP, SOFA, and APACHE-II scores were evaluated as predictors of mortality in septic COVID-19 patients at Dr. Kariadi Hospital Semarang, Indonesia, between August 2021 and July 2022. The subjects included severe and critical COVID-19 patients who fulfilled the WHO interim guidelines and Sepsis-3 criteria. A total of 211 patients were included, which were divided into survivor (n = 116) and non-survivor (n = 95) groups. NLR values, CRP levels, SOFA, and APACHE-II scores were measured within 24 hours of patient admission. Univariate and multivariate logistic regression analyses were used to identify the risk factors for COVID-19 mortality. Receiver operating characteristic curve analysis was used to predict the mortality of severe COVID-19 patients. The results indicated that the APACHE-II score was an independent predictor of mortality in sepsis patients resulting from severe and critical COVID-19. UR - https://www.jmchemsci.com/article_168955.html L1 - https://www.jmchemsci.com/article_168955_daaf1915e855ef1461ae9799206fc3b5.pdf ER -