Correlation of Hepatic enzymes with Ultrasound liver findings in Non-Alcoholic fatty liver disease
Abstract
Objective: To evaluate the association between hepatic enzymes and Non-Alcoholic Fatty Liver disease (NAFLD).
Material and Methods: This cross-sectional study was conducted at Fauji Foundation Hospital (FFH) Rawalpindi from July 2019- July 2020.Our study included 200 patients randomly selected from outpatient department of FFH Rawalpindi, who fulfilled the inclusion and exclusion criteria. The subjects were split into 3 categories based on ultrasonography diagnosed Non- Alcoholic Fatty Liver Disease as grade I, II and III. The consent of the participants was taken and data was collected through a proper questionnaire. The liver enzymes and the body mass index (BMI) were recorded for all the participants. Data analysis was done using SPSS version 21.
Results: Our study showed highly significant (p<0.001) results between the grades of NAFLD and alanine aminotransferase (ALT) with the mean SD for grade I (41.03±11.92) being the lowest followed by grade II (54.17±18.0) the highest for grade III (66.48±15.93). Serum gamma glutamyl transferase (GGT) also showed significant correlation (p<0.001) with the different grades of NAFLD, the mean being (45.76) for grade I, (69.13) for grade II and (91.36) for grade III. Serum aspartate transaminase (AST p<0.01), alkaline phosphatase (ALP p<0.05) and ALT/AST ratio (p<0.001). Also showed a significant relationship with the grades of NAFLD. A significant relationship of BMI with the grades of fatty liver were also seen, the higher the grade the higher the BMI (p<0.001).
The results of our study also showed that increasing the degree of NAFLD had a direct positive correlation with the increased BMI and liver enzymes (ALT, AST, ALP and GGT) (p<0.01).
Conclusion: Our study concludes that higher levels of serum liver enzymes and BMI can be used as predictive markers for determining the degree of NAFLD.
Key Words: Non-Alcoholic fatty liver disease, Liver enzymes, Body mass index, Ultrasonography.
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Copyright (c) 2020 Mehnaz Khattak, Jawwad Anis Khan, Sami Saeed, Anisa Kalsoom, Hasan Ikram, Umme Farwa
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