Frequency of Metabolic Syndrome in Patients with Hepatitis C Virus Infection

Hepatitis C virus (HCV) infection is a major global health burden, traditionally associated with chronic liver disease. Objective: To determine the frequency of metabolic syndrome in patients with chronic hepatitis C virus infection and assess its association with demographic and clinical variables. Methods: This cross-sectional observational study was conducted at the Department of General Medicine, AIMC/Jinnah Hospital, Lahore, from March 2025 to May 2025. A total of 220 patients aged 20–60 years with confirmed HCV infection were enrolled using non-probability consecutive sampling. Demographic data, clinical examination findings, and laboratory results, including fasting blood glucose, triglycerides, HDL cholesterol, and blood pressure, were recorded. Results: The mean age of patients was 42.7 ± 10.2 years; 124 (56.4%) were male and 96 (43.6%) were female. Metabolic syndrome was identified in 49 patients (22.3%). Significant associations were found between MetS and age ≥45 years (p = 0.04) as well as BMI ≥25 kg/m² (p < 0.001). No significant association was observed between MetS and duration of HCV infection (p = 0.12). Conclusion: It is concluded that metabolic syndrome is a frequent comorbidity in patients with chronic HCV infection, particularly among older and overweight individuals. Routine screening for metabolic risk factors in HCV patients is recommended to facilitate early intervention and reduce associated cardiovascular and hepatic complications.

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Publication Details

Journal
Biological and Clinical Sciences Research Journal
Published
2025-06-30
DOI
https://doi.org/10.54112/bcsrj.v6i6.1891
Primary Topic
Hepatitis C virus research
Type
article
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article

Frequency of Metabolic Syndrome in Patients with Hepatitis C Virus Infection

Sidrah Muhammad Rafiq, Abdullah Khan, Hafiz T. A. Khan, Talha Khalid et al.
Biological and Clinical Sciences Research Journal
Hepatitis C virus research
article

Frequency of Metabolic Syndrome in Patients with Hepatitis C Virus Infection

Sidrah Muhammad Rafiq, Abdullah Khan, Hafiz T. A. Khan, Talha Khalid, Samina Saeed, Nafees Ahmed
article en

Abstract

Hepatitis C virus (HCV) infection is a major global health burden, traditionally associated with chronic liver disease. Objective: To determine the frequency of metabolic syndrome in patients with chronic hepatitis C virus infection and assess its association with demographic and clinical variables. Methods: This cross-sectional observational study was conducted at the Department of General Medicine, AIMC/Jinnah Hospital, Lahore, from March 2025 to May 2025. A total of 220 patients aged 20–60 years with confirmed HCV infection were enrolled using non-probability consecutive sampling. Demographic data, clinical examination findings, and laboratory results, including fasting blood glucose, triglycerides, HDL cholesterol, and blood pressure, were recorded. Results: The mean age of patients was 42.7 ± 10.2 years; 124 (56.4%) were male and 96 (43.6%) were female. Metabolic syndrome was identified in 49 patients (22.3%). Significant associations were found between MetS and age ≥45 years (p = 0.04) as well as BMI ≥25 kg/m² (p < 0.001). No significant association was observed between MetS and duration of HCV infection (p = 0.12). Conclusion: It is concluded that metabolic syndrome is a frequent comorbidity in patients with chronic HCV infection, particularly among older and overweight individuals. Routine screening for metabolic risk factors in HCV patients is recommended to facilitate early intervention and reduce associated cardiovascular and hepatic complications.

Biological and Clinical Sciences Research JournalVol. 6(6)
Jinnah Postgraduate Medical Center (PK), Fatima Jinnah Medical University (PK), Diabetes Australia (AU), Mayo Hospital (PK)
Openalex Percentile: Top 70%
Hepatitis C virus research
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Frequency of Metabolic Syndrome in Patients with Hepatitis C Virus Infection — Sidrah Muhammad Rafiq, Abdullah Khan, et al. · Biological and Clinical Sciences Research Journal (2025) | TGRS Research Map | TGRS