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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.
Red cell distribution width (RDW) shows significant correlations with both Child-Turcotte-Pugh (CTP) and Model for End-Stage Liver Disease (MELD) scores in chronic liver disease (CLD) patients. RDW can serve as a valuable tool for assessing CLD severity.
Area of Science:
- Hepatology
- Hematology
- Clinical Medicine
Background:
- Chronic liver diseases (CLDs) involve liver dysfunction due to ongoing inflammation or damage.
- Assessing CLD severity is crucial for patient management and prognosis.
- Existing scoring systems like MELD and CTP are vital but can be complex.
Purpose of the Study:
- To investigate the relationship between red cell distribution width (RDW) and established CLD severity scores.
- To determine if RDW can serve as a simple marker for assessing CLD severity.
- To correlate RDW with the Model for End-Stage Liver Disease (MELD) and Child-Turcotte-Pugh (CTP) scores.
Main Methods:
- A study involving 50 adult patients diagnosed with CLD was conducted.
- Red cell distribution width (RDW) was measured using a three-part autoanalyzer.
- Statistical analysis was performed to examine the correlation between RDW, MELD, and CTP scores.
Main Results:
- A statistically significant correlation was found between RDW-corpuscular value (RDW-CV) and the presence of ascites.
- Significant associations were observed between RDW-standard deviation (RDW-SD) and both CTP and MELD scores.
- RDW-CV also showed a significant association with the MELD score.
Conclusions:
- Red cell distribution width (RDW) demonstrates a significant correlation with key CLD severity indices.
- RDW presents a promising, accessible, and effective biomarker for evaluating CLD severity.
- This finding supports the potential use of RDW in routine clinical practice for CLD assessment.
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