Abstract

Background:This study investigated the factors correlated with severe liver damage among HIV-infected inpatients.Methods:We retrospectively collected the first hospitalized HIV-infected patients in the Department of Infectious Disease of the First Affiliated Hospital of China Medical University from January 1, 2010, to December 31, 2019. We used multivariate logistic regression to identify the factors associated with severe liver damage.Results:A total of 493 patients with abnormal liver tests were recruited. Among 63 cases (12.8%) with severe liver injury, drug-induced liver injury (DILI) identified by the updated Roussel Uclaf Causality Assessment Method (RUCAM) score as the direct cause was found in 43 cases. Anti-tuberculosis drug (ATD) exposure [adjusted odds ratio (aOR) = 1.835, 95% confidence interval (CI): 1.031–3.268], cotrimoxazole exposure (aOR = 2.775, 95% CI: 1.511–5.096), comorbidity of viral hepatitis (aOR = 2.340, 95% CI: 1.161–4.716), alcohol consumption history (aOR = 2.392, 95% CI: 1.199–4.769), and thrombocytopenia (aOR = 2.583, 95% CI:1.127–5.917) were associated with severe liver injury (all P < 0.05).Conclusions:DILI was the predominant cause of severe liver damage, followed by hepatitis virus co-infection. For patients with alcohol consumption and thrombocytopenia, frequent monitoring of liver function tests should be considered.

Highlights

  • This study investigated the factors correlated with severe liver damage among human immunodeficiency virus (HIV)-infected inpatients

  • We conducted a retrospective study of inpatients who had already been diagnosed with HIV infection and were first admitted to the Department of Infectious Disease at the First Affiliated Hospital of China Medical University (Shenyang, China) from January 1, 2010, to December 31, 2019

  • Liver injuries were defined as participants who had at least one incident elevation of alanine transaminase (ALT), aspartate aminotransferase (AST), alkaline phosphatase (ALP), or total bilirubin (TBIL) above the upper limit of normality (ULN)

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Summary

Methods

We used multivariate logistic regression to identify the factors associated with severe liver damage

Results
Conclusions
BACKGROUND
Study Design and Patients Enrollment
RESULT
DISCUSSION
ETHICS STATEMENT
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