Management of Hepatitis B and C Infection in Patients with Diabetes Mellitus
Abstract
Diabetes mellitus (DM) bidirectional interaction well known with chronic hepatitis B virus (HBV) and hepatitis C virus (HCV) infections. DM may increase exposure risks regarding transmission due to factors such as healthcare contact, assisted blood glucose monitoring, and improper device/pen use during insulin administration; conversely, it can negatively impact the natural history of chronic liver disease via insulin resistance, hepatic steatosis, and systemic inflammation pathways. The 2023 Turkey Viral Hepatitis B and C Diagnosis and Treatment Guideline, along with international guidelines, recommend direct-acting antiviral (DAA) therapy for all HCV RNA-positive patients; for HBV, viral suppression using high-barrier nucleos(t)ide analogs is recommended based on the clinical phase, HBV DNA levels, ALT, and the degree of fibrosis. In patients with DM, the risk of hypoglycemia following the improvement of glycemic control after HCV treatment and HBV reactivation during DAA therapy are of particular clinical significance. This section presents screening-serology interpretation, verification-staging, treatment selection, infection control measures, follow-up, and HCC screening in accordance with Turkish clinical practice, accompanied by tables and algorithms.
Keywords
References
- 1. Zhang Y, Xie J, Fu E, et al. Artificial intelligence in cardiology: a bibliometric study. Am J Transl Res. 2024;16(3):1029-1035.
- 2. Slart RHJA, Williams MC, Juarez-Orozco LE, et al. Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT. Eur J Nucl Med Mol Imaging. 2021;48(5):1399-1413.
- 3. Armoundas AA, Narayan SM, Arnett DK, et al. Use of Artificial Intelligence in Improving Outcomes in Heart Disease: A Scientific Statement From the American Heart Association. Circulation. 2024;149(14):e1028-e1050.
- 4. Bozyel S, Şimşek E, Burunkaya DY, et al. Artificial Intelligence-Based Clinical Decision Support Systems in Cardiovascular Diseases. Anatol J Cardiol. 2024;28(2):74-86.
- 5. Hayıroğlu Mİ, Altay S. The role of artificial intelligence in coronary artery disease and atrial fibrillation. Balkan Med J. 2023;40(3):151-152.
- 6. Göçer H, Durukan AB. The use of artificial intelligence in interventional cardiology. Turk Gogus Kalp Damar Cerrahisi Derg. 2023;31(3):420-421.
- 7. Anatolian Journal of Cardiology [Internet]. Journal metrics (JCR 2025; SJR 2024). Available from: https://anatoljcardiol.com/. Accessed 19 Aug 2025.
- 8. Balkan Medical Journal [Internet]. Journal metrics (2024 IF; Q1 status). Available from: https://balkanmedicaljournal.org/. Accessed 19 Aug 2025.
Details
Primary Language
English
Subjects
Infectious Diseases, Internal Diseases
Journal Section
Review
Authors
Yasemin Kirik
*
0000-0001-5952-0180
Türkiye
Publication Date
September 10, 2026
Submission Date
April 3, 2026
Acceptance Date
June 25, 2026
Published in Issue
Year 2026 Volume: 6 Number: 3