Predictive Values of Inflammation Indexes in Predicting Mortality in Patients with COVID 19 Hospitalized in General Intensive Care Unit

Abstract

Objective: Causing a global pandemic, the coronavirus disease 2019 (COVID-19) has caused millions of people to become infected and many more to die. In this study we aimed to investigate whether routinely evaluated clinical and laboratory values ??can predict the mortality of patients with COVID-19 disease.Materials and Methods: In our study, routine laboratory parameters of 89 patients hospitalized in the general intensive care unit with the diagnosis of COVID 19 were retrospectively analyzed. The aggregate index of systemic inflammation (AISI) and other inflamatuar values were calculated from blood tests in patients with positive COVID-19 polymerase chain reaction test and with ground-glass opacity on lung tomography. Patients were divided into two groups as those who died (non-survivors) and those who were discharged (survivors)during the intensive care follow-ups. Results: In our study, in 48 patients who died during follow-up, the indexes of AISI, other inflamatuar paramaters and the biochemical parameters such as troponin I, d-dimer, ferritin and procalcitonin were significantly higher than in discharged patients. Hypertension and higher AISI and ferritin levels were statistically associated with reduced survival in Cox regression analysis (Hazard ration (HR): 3.176; 95% Confident interval (CI): 1.122-8.991, p=0.03, HR: 1.114; 95% CI: 1.060-1.348, p=0.042, HR=1.072;95% CI: 1.014-1.242, p=0.011, respectively.Conclusion: Inflammation indexes derived from blood tests and acute phase reactants such as ferritin can guide us in planning the treatment strategy and risk stratification in patients with COVID-19 in intensive care follow-ups.