Ayyappan, P (2023) Analytical Cross Sectional Study to Determine the Effectiveness of Hematological Parameters in Assessing the Severity of Illness among COVID 19 Patients in a Tertiary Care Centre. Masters thesis, Stanley Medical College, Chennai.
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Abstract
BACKGROUND: The COVID-19 disease is caused by the SARS-CoV-2 virus. This disease's clinical signs might range from a minor cold to serious respiratory distress. In this study we aimed to detemine the effectiveness of hematological parameters analyzed on admission in predicting the severity of illness among the confirmed COVID-19 patients. AIM OF THE STUDY: To study the hematological parameters in confirmed COVID-19 disease patients. OBJECTIVES: To correlate the haematological parameters like lymphopenia, thrombocytopenia, neutrophil lymphocyte ratio, platelet lymphocyte ratio, and elevated d- dimer levels with the severity of the illness in patients infected with SARSCoV- 2 and its complications. METHODS: 100 patients with COVID 19 who are admitted and have given consent will be included in the study and followed up for a period of 5 days. Data were obtained regarding patients clinical symptomatology, 02 saturation, Respiratory rate blood pressure and pulse rate on admission and on day 3 and day 5. Hematological parameters (complete blood count). inflammatory markers were done on admission and data were collected. Disease severity is assessed by the respiratory rate. 02 saturation requirement for oxygen supplementation, noninvasive and invasive ventilation on day 5. RESULTS: Comparison of lymphopenia with severity showed that the patients with more severe illness had increased association with lymphopenia. This is statistically significant (p < 0.005). Comparison of thrombocytopenia with severity showed that higher severity had increased association with thrombocytopenia. This is statistically significant (p < 0.005). Comparison of NLR with severity showed that higher severity 10Pg had increased association with NLR. This is statistically significant (p < 0.005) Comparison of PLR with severity showed that higher severity had increased association with PLR. This is statistically significant (p<0.005). Comparison of DDimer with severity showed that higher severity had increased association with DDimer. This is statistically significant (p < 0.005). CONCLUSION: According to this study, haematological parameters like lymphopenia, thrombocytopenia, elevated NLR, PLR, and elevated d-Dimer values at the time of admission are the markers that can predict the severity in a patient, oxygen requirement and intensive care management. So these patients should be given extra care and intense monitoring at the earliest to prevent the complications and mortality. Therefore hematological parameters like lymphocyte count, platelet count, NLR, PLR and d-Dimer should be monitored from admission for predicting the prognosis of the covid-19 patients.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | 200120101005 |
| Uncontrolled Keywords: | Lymphopenia, thrombocytopenia, Neutrophil to lymphocyte ratio, Platelet to lymphocyte ratio. |
| Subjects: | MEDICAL > General Medicine > MEDICAL > General Medicine |
| Depositing User: | Thavamani K |
| Date Deposited: | 24 May 2022 00:45 |
| Last Modified: | 20 Mar 2024 04:39 |
| URI: | http://repository-tnmgrmu.ac.in/id/eprint/20154 |
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