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Risk factors for antipsychotic- and antidepressant-associated liver function abnormalities: A retrospective unmatched
Jing Zhu1, Qin Zhou2, Yaoyao Xiu1
1Department of Pharmacy, Xuzhou Oriental Hospital Affiliated to Xuzhou Medical University, Xuzhou, Jiangsu, China.
Antipsychotics and antidepressants can cause liver issues in psychiatric patients. Factors like male sex, older age, obesity, and metabolic conditions increase this risk, necessitating closer monitoring.
Area of Science:
- Psychiatry
- Pharmacology
- Hepatology
Background:
- Antipsychotics (APs) and antidepressants (ADs) are main treatments for psychiatric disorders.
- Drug-induced liver injury and biochemical abnormalities are significant safety concerns.
- Early identification of risk factors can improve patient monitoring and prevention.
Purpose of the Study:
- To identify factors associated with liver function abnormalities in psychiatric patients undergoing AP and/or AD treatment.
- To inform clinical practice regarding patient monitoring and preventive strategies.
Main Methods:
- Retrospective case-control study of 708 discharged patients (354 cases, 354 controls).
- Data collected from Xuzhou Oriental Hospital Affiliated to Xuzhou Medical University (January-December 2025).
- Univariate and multivariable logistic regression analyses were used to identify associated factors.
Main Results:
- Male sex, age ≥60 years, obesity, dysglycemia, and dyslipidemia were independently associated with liver function abnormalities.
- Longer length of stay and medication history ≤1 year also correlated with increased risk.
- Olanzapine was the most frequent AP/AD exposure in patients with abnormalities, though not indicative of comparative risk.
Conclusions:
- Liver function abnormalities in psychiatric patients on APs/ADs primarily manifest as biochemical changes.
- Specific patient demographics and comorbidities significantly increase the risk of liver function abnormalities.
- Findings support targeted liver function monitoring for at-risk patients, pending multicenter validation.
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