The Prognostic Role of Red Blood Cell Distribution (RDW) in Severe COVID-19 Patients

COVID - 19, ICU, Prognosis

COVID-19, Red Cell Distribution Width (RDW), Mortality, Intubation, Prognostic marker

The aim of this study was to evaluate the prognostic significance of erythrocyte distribution width (RDW) in severe and critically ill COVID-19 patients followed in the intensive care unit (ICU). RDW is a parameter that measures the heterogeneity in red blood cell size and is associated with the pathophysiological processes of COVID-19, such as systemic inflammation, oxidative stress, and erythropoiesis disorders. This study investigated the relationship between RDW and the need for intubation and mortality, and its utility as a prognostic marker in COVID-19 patients.

Coronavirus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. According to official figures from the World Health Organization, the COVID-19 pandemic has sickened 780 million people worldwide and caused more than 7 million deaths. Common symptoms of COVID-19 include fever, cough, and shortness of breath. Symptoms such as headache, sore throat, runny nose, muscle and joint pain, extreme fatigue, new-onset loss of smell and taste, and diarrhea may also occur. While the disease can be asymptomatic, severe cases can develop pneumonia, severe acute respiratory infection, multiple organ failure, and death. Predicting high risk in patients with COVID-19 has the potential to reduce mortality and morbidity by enabling early transfer of patients to intensive care units and planning appropriate treatment. For this purpose, numerous studies have been conducted to determine whether different markers can be used in addition to risk scores such as APACHE and SOFA, which are currently used in intensive care units. These markers include increased neutrophil and platelet counts, decreased lymphocyte counts, and elevated levels of B-type natriuretic peptide (BNP), blood urea nitrogen (BUN), creatine kinase (CK), bilirubin, interleukin-6 (IL-6), c-reactive protein (CRP), procalcitonin, ferritin, alanine aminotransferase (ALT), albumin, and lactate dehydrogenase (LDH). RDW (red blood cell distribution width), a measure of variation in red blood cell size, has traditionally been used in the diagnosis of various hematological conditions. In recent years, it has also been shown to be a potential marker of inflammation. Increased proinflammatory activity and hypoxia impair erythropoiesis, leading to an increase in red cell distribution width (RDW) and changes in hematocrit. Increased RDW has been associated with poor prognosis in other critical illnesses, such as sepsis and cardiovascular disease. In COVID-19, viral inflammation can affect erythrocyte production and turnover, leading to an increase in RDW. Increased RDW increases proportionally with the degree of systemic inflammation and can therefore be a marker of disease severity. Higher RDW values at hospitalization have been associated with increased mortality and the need for intensive care. A meta-analysis of multiple studies has shown that high RDW is a strong predictor of mortality in COVID-19 patients. This meta-analysis suggests that RDW can be used as an early warning indicator to identify patients at high risk for severe disease and adverse clinical outcomes. Other research supports the use of RDW as a biomarker in COVID-19 and reinforces the role of RDW as a general marker of physiological stress/disease severity. RDW, a low-cost parameter included in the standard complete blood count, can be easily integrated into clinical practice, contributing to the early identification of high-risk COVID-19 patients and facilitating the planning of timely and appropriate medical interventions. The aim of this study is to investigate the relationship between RDW values at admission and the need for intubation in severely ill and critically ill patients admitted to COVID-19 intensive care unit by analyzing the time course of RDW. Furthermore, the relationship between RDW and other laboratory and clinical parameters will also be investigated. Materials and Methods: This retrospective study was conducted using data from patients admitted to the COVID-19 intensive care unit at Ankara University Ibn-i Sina Research and Application Hospital between April 2021 and August 2024. Among 758 patients admitted to the intensive care unit (ICU) due to COVID-19 between the specified dates and who met the World Health Organization's severe and critically ill COVID-19 criteria, 360 patients were randomly selected. Patients' demographic characteristics (age, gender, vaccination status), comorbidities, length of stay in the ICU, need for intubation, laboratory parameters (RDW, hemoglobin, platelet count, leukocyte count, neutrophil/lymphocyte (N/L) ratio, CRP, procalcitonin, interleukin-6, etc.), and ICU severity scores (APACHE II and SOFA) were recorded. RDW values were recorded for five consecutive days, starting from the first day of ICU admission. For statistical analyses, the Mann-Whitney U test was used to compare two independent groups, the Chi-square test for categorical variables, and the Two-Way Repeated Measurement ANOVA for repeated measurements. A P value of \<0.05 was considered statistically significant. The prognostic value of RDW and the optimal cut-off value were determined using ROC analysis.

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