Title

Serum lipid profile as an indicator of disease severity in chronic liver disease: A hospital-based cross-sectional study

Authors

Vikas Rangare¹, Jyoti Nagwanshi¹ & Kapil Raghuwanshi^2,*

Affiliation

¹Department of Medicine, Chhindwara Institute of Medical Sciences, Chhindwara, Madhya Pradesh, India; ²Department of Biochemistry, Chhindwara Institute of Medical Sciences, Chhindwara, Madhya Pradesh, India; *Corresponding author

Email

Vikas Rangare - Email: vikasrangare80@gmail.com

Article Type

Research Article

Date

Received May 1, 2026; Revised May 31, 2026; Accepted May 31, 2026, Published May 31, 2026

Abstract

Chronic liver disease (CLD) is associated with significant metabolic alterations, particularly affecting lipid synthesis and regulation, making serum lipid levels potential indicators of disease severity. This cross-sectional, hospital-based study enrolled 120 adult CLD patients (≥18 years) of diverse etiologies, viral hepatitis B/C, alcoholic liver disease and non-alcoholic fatty liver disease (NAFLD) —to evaluate associations between serum lipid parameters and liver dysfunction. Fasting total cholesterol, LDL, HDL and triglycerides were measured and composite lipid scores were derived and analyzed against Child-Pugh classification using ANOVA, correlation and chi-square tests. Total cholesterol, LDL and HDL significantly declined with increasing Child-Pugh class (p < 0.001; η² = 0.33–0.36), showing strong negative correlations with disease severity, whereas triglycerides decreased non-significantly (p = 0.072). The composite lipid score revealed robust discriminatory power (F = 68.2, p < 0.001, η² = 0.54) irrespective of gender or etiology. Thus, we show serum lipid profiling particularly composite lipid scoring as a practical and cost-effective adjunct for assessing CLD severity and prognosis, especially in resource-limited settings.

Keywords

Chronic liver disease (CLD), lipid profile, low-density lipoprotein (LDL), high-density lipoprotein (HDL), cholesterol, child-pugh score

Citation

Rangare et al. Bioinformation 22(5): 3131-3136 (2026)

Edited by

Vini Mehta

ISSN

0973-2063

Publisher

Biomedical Informatics

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.