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Published on: January 27, 2023
Red Cell Distribution Width in Chronic Liver Disease: An Observational Study
Sankar Kalairajan1, Kavitha K K2, Govindaraj P1
1Department of Internal Medicine, Aarupadai Veedu Medical College and Hospital, Vinayaka Mission's Research Foundation (DU), Pondicherry, IND.
Background:
Chronic liver diseases (CLDs) encompass a group of conditions that are marked by diminished liver function due to ongoing inflammation or damage. This study aimed to establish a relationship between the red cell distribution width (RDW) and two scoring systems, namely the Model for End-Stage Liver Disease (MELD) score and Child-Turcotte-Pugh (CTP) score, in individuals diagnosed with CLDs.
Methods:
The study was carried out at Aarupadai Veedu Medical College & Hospital, Pondicherry, India, following approval from the Institutional Ethical Committee in the Department of General Medicine and Gastroenterology. It involved 50 patients aged 18 years and above who were diagnosed with CLD. The RDW of all selected patients was measured using a three-part autoanalyzer, and its correlation with the MELD and CTP scores was examined. Data analysis was performed using IBM SPSS (Statistical Package for Social Sciences), version 21.0 (IBM Corp., Armonk, NY), with a significance level set at p < 0.05.
Results:
When comparing the baseline characteristics including age, gender, and encephalopathy, no statistically significant differences were found between RDW-standard deviation (RDW-SD) and RDW-corpuscular value (RDW-CV) (p > 0.05). However, a statistically significant correlation was observed between the presence of ascites and RDW-CV values (p = 0.029). Furthermore, there was a significant association between the CTP score and RDW-SD (p < 0.0001). The association between the MELD score and RDW-SD was also found to be statistically significant (p = 0.006). Similarly, statistically significant results were obtained between the MELD score and RDW-CV (p = 0.034).
Conclusion:
The utilization of RDW holds promise as a convenient and effective tool for evaluating the severity of individuals with CLD.
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