Gnanaprakash, C (2023) Analytical Cross Sectional study to Determine the Role of Red Cell Distribution Width as a Predictor of Severity among COVID 19 Patients. Masters thesis, Stanley Medical College, Chennai.
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Abstract
BACKGROUND: Coronavirus Disease 2019 (COVID-19), caused by severe acute respiratory syndrome corona virus-2 (SARS-CoV-2), is the respiratory illness which is responsible for the global pandemic that has led to millions of deaths worldwide and caused widespread economic damage. To better mitigate the effects of the virus and improve medical outcomes, it is imperative to identify clinical, demographic, and laboratory factors predictive of clinical deterioration and prognosis of patients affected with this virus. Blood tests are inexpensive, quick, and minimally intrusive prognostic markers that have been effective in determining the course of COVID-19 disease. Patients with COVID-19 have been shown in prior studies looking at laboratory data to have higher lymphopenia, thrombocytopenia, and overall leukopoenia upon hospital admission. ICU admission is accompanied by an elevated D-dimer and a further reduced lymphocyte count. Additionally, higher morbidity and death rates for COVID-19 patients have been linked to higher red blood cell distribution width (RDW) at the time of hospital admission and an elevated RDW over the course of the hospital stay. OBJECTIVES: To determine the role of red cell distribution width as a predictor of severity among Covid 19 patients. METHODS: Subjects who are more than 18 years old and RT-PCR positive for Covid-19 disease in Stanley Medical College, were included in the study. On admission blood pressure, SpO2, respiratory rate and physical examination were carried out. On admission routine investigations were taken which includes complete blood count. The correlation between RED CELL DISTRIBUTION WIDTH (RDW-CV) and disease severity was analysed. RESULTS: There was statistically significant relationship found between RDW-CV value on admission and severity of COVID-19. From our study we also found that there is also statistically significant relationship between severity of COVID and NLR. Higher values of RDW and NLR were associated with more severe disease. CONCLUSION: Among patients with COVID-19 infection, RDW, as a simple routinely measured inexpensive laboratory parameter was independently associated with severity of disease. RDW >14.5% could be the optimal cut off to discriminate critical COVID-19 infection. This might be useful in clinical practice to identify patients who are more prone to develop severe disease and its complications in early stages and early medical intervention can be given leading to better outcome.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | Reg.No.200120101007 |
| Uncontrolled Keywords: | Analytical Cross Sectional study, Red Cell Distribution Width, Predictor, Severity, COVID 19 Patients. |
| Subjects: | MEDICAL > General Medicine > MEDICAL > General Medicine |
| Depositing User: | Thavamani K |
| Date Deposited: | 17 May 2022 10:47 |
| Last Modified: | 20 Mar 2024 04:40 |
| URI: | http://repository-tnmgrmu.ac.in/id/eprint/19535 |
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