Which Factors Are Predicting the Mortality in Patients With Covid 19 in the Intensive Care Unit?

Abstract Background: COVID 19 infection is a global health problem; clinical and laboratory parameters have been developed to predict this disease-related mortality/morbidity. Some of these parameters are clinical parameters, while some are laboratory parameters. This study aims to determine whether APACHE II, GCS, age, presence of comorbidity, and absolute lymphocyte count effectively predict mortality in patients admitted to intensive care due to COVID 19.Method: We have included 108 PCR-positive COVID 19 patients admitted to the intensive care between 1 October and 31 November 2020 in our research. Demographic characteristics of all patients, APACHE II values within the first 24 hours of admission to intensive care, the Glasgow Coma Scale, the presence of comorbidity, lymphocyte count during intensive care admission, duration of intensive care stay, and the mortality rates were recorded.Results: The average age of 108 individuals evaluated in the study was 67 ± 13.61 years, and 56.5% of the patient group consisted of the geriatric age range. Seventy (64.8%) of the patients were female, eighty-nine (82.4%) patients had at least one comorbidity. In the multivariate analysis, it was determined that lymphocyte value, APACHE II score, and the presence of any comorbidity are independent prognostic factors for mortality when accepted to ICU.Conclusion: In our study, we have determined that age, APACHE II value, presence of comorbidity, and baseline lymphocyte counts are independent predictors of mortality.Trial Registry: SEMA TURAN-2021-01-13T10_31_59Registry address:https://bilimselarastirma.saglik.gov.tr