Alterations in Liver Function Biomarkers Among Moderately Severe COVID‑19 Patients in southeastern Serbia: A Retrospective Single‑Center Study
Year: 2026
Type: article
Study design: Observational Study
Abstract: Liver biochemical abnormalities have been reported in nearly half of patients with SARS-CoV-2 infection. Aim of the study was to determine the prevalence of altered liver biomarkers (ALT, AST, LDH, GGT, and albumin) in COVID-19 patients with a moderately severe clinical picture at hospital admission, and to assess the presence of altered liver-related biomarkers in the absence of a severe clinical presentation. Research material consisted of medical histories of patients with moderately severe clinical picture of COVID-19 who were hospitalised at the Clinic for Infectious Diseases of the University Clinical Centre in Niš. The study included 655 patients (425 male and 230 female) that were divided into three groups: patients without comorbidities (NC), patients with arterial hypertension (HTA), and patients previously diagnosed with diabetes mellitus (DM). Additionally, within each research group, patients were divided into three age subgroups: patients aged 20-40 years, 40-60 years, and over 60 years. AST, ALT, and LDH showed statistically significant differences across the defined groups, while GGT did not. Logistic regression confirmed increased odds for elevated AST and LDH values in all older and comorbid groups, with the most pronounced effects for LDH. For ALT, significantly increased odds were observed among patients with HTA (40–60 years) and DM (40–60 years). The most pronounced changes were observed in elderly patients and those with hypertension and diabetes, with LDH emerging as the most sensitive, although non-specific, biomarker, likely reflecting systemic inflammation and disease severity in addition to possible hepatic involvement.
Source: AFMN Biomedicine
Institution: University of Nis
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
OpenAlex ID: W7204203530
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