Analysis of COVID-19 patients in emergency intensive care unit: Retrospective study

Abstract

Objective: To investigate the role of various parameters in predicting mortality among coronavirus disease-2019 patients.

Method: The retrospective study was conducted at the Emergency Department of Evliya Çelebi Training and Research Hospital, Turkiye, and comprised medical records from November 1, 2020, to April 30, 2021, of patients aged 18 and above who were admitted to the pandemic intensive care unit. Demographic information, comorbid conditions, selected haemogram parameters and ratios, acute-phase reactants, and biochemical markers were recorded along with outcomes. Data was analysed using SPSS 20.

Results: Of the 164 patients, 91(55.5%) were males and 73(44.5%) were females. Of them 101(61.6%) died; 52(71.2%) females and 49(53.8%) males with mean age 73.98+/-11.73 years. The remaining 63(38.4%) were discharged; 42(46.2%) males and 21(28.8%) females with mean age 67.69+/-13.05 years (p<0.05). Lymphocyte count, C-reactive protein, ferritin, D-dimer, neutrophil-lymphocyte ratio, lymphocyte-C-reactive protein ratio, urea, sodium and potassium levels were significantly different between the groups (p<0.05).

Conclusion: In the monitoring of coronavirus disease-2019 patients in critical care settings, age, gender and laboratory values are the parameters that can be used for predicting mortality.

Key Words: COVID-19, Mortality prediction, Emergency medicine, Acute-phase reactants, Intensive care units.