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Pathol Res Pract ; 253: 155051, 2024 Jan.
Article in English | MEDLINE | ID: mdl-38160483

ABSTRACT

OBJECTIVES: The study aimed to evaluate the role of histologic scoring of liver biopsies using Ishak-modified histological activity index (HAI) and Laennec's scoring system in predicting chronic liver disease (CLD) prognosis in South India. METHODS: A retrospective analysis of liver biopsy samples was conducted at a tertiary care hospital. The samples were scored using the Ishak-modified HAI and Laennec's scoring system for staging and grading CLD. Patient clinical data were retrieved and assessed using the Child-Pugh scoring system. Chi-squared test was used to test the association between categorical variables and the association with multiple categories was reported using Cramer's V correlation coefficient. A p-value < 0.05 was considered significant. RESULTS: Out of 43 samples included in the study, 65.12% were male patients, with a mean age of 43.3 ± 13.9 years. Cirrhotic cases accounted for the highest proportion (65.12%, n = 28), followed by hepatitis cases (30%, n = 13). The predominant etiology was alcohol-related (44.19%, n = 19). Percutaneous liver biopsies constituted most of the samples (48.84%, n = 21), followed by transjugular (37.21%, n = 16) and ultrasonography-guided (11.63%, n = 6) biopsies. The correlation between Ishak-modified HAI stages and Child-Pugh scores was weak and insignificant (p = 0.71), while Laennec's scores showed a moderate but insignificant correlation with Child-Pugh scores (p = 0.066). CONCLUSION: Histologic scoring of liver biopsies using the Ishak-modified HAI and Laennec's scoring system can provide valuable prognostic information for CLD. However, further research is needed to establish stronger correlations with clinical outcomes.


Subject(s)
Liver Cirrhosis , Liver Diseases , Humans , Male , Adult , Middle Aged , Female , Retrospective Studies , Tertiary Care Centers , Prognosis , Biopsy , Liver Cirrhosis/pathology , Liver Diseases/pathology , Liver/pathology , Severity of Illness Index
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