Abstract
Predicting which patients will need the intensive care unit (ICU) due to severe COVID-19 is critical in terms of disease treatment. In this study, the use of the derived isohemagglutinin (dIH) parameter calculated from isohemagglutinin (IH) values and neutrophil to lymphocyte ratios for prediction of clinical care (CLC), ICU admission and mortality status was investigated for the morbidity and mortality of COVID-19. The data of approximately 21,500 patients admitted to the hospital with the suspicion of COVID-19 were scanned retrospectively. A total of 352 patients with IH results were divided into three groups according to CLC, ICU admission and mortality. Isohemagglutinin, hemogram and biochemistry test results, demographic characteristics, chronic diseases, length of stay, treatments, ICU admission and mortality records were reviewed for all patients. The relationship between test results, demographic characteristics, clinical status and mortality was investigated using statistical methods. The dIH values of patients with ICU admission and mortality were much lower than those of CLC patients [median (min-max): 3.34 (0.14-95.8) and 0.82 (0.05-42.3) vs. 0.18 (0.01-20.6) titers, p < 0.01, respectively]. In the ROC analysis for the power of dIH to discriminate ICU admission, the cutoff was ≤ 0.68 with sensitivity 88.9%, and specificity 79.6%. It was determined that a 1-unit increase in dIH values decreased the need for ICU by 2.09 times and the mortality of those receiving ICU treatment by 2.02 times. dIH values calculated in the early stages of the disease in patients with COVID-19 can be used to estimate the clinical progression associated with ICU admission and mortality.