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KMID : 1009020230210040769
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Clinical Psychopharmacology and Neuroscience
2023 Volume.21 No. 4 p.769 ~ p.777
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Prolactin Level Changes according to Atypical Antipsychotics Use: A Study Based on Clinical Data Warehouse
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Kim Su-Hyung
Jeong Jong-Hyun
Um Yoo-Hyun
Kim Tae-Won
Seo Ho-Jun
Hong Seung-Chul
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Abstract
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Objective: Antipsychotic drugs are known as the major cause of non-neoplastic hyperprolactinemia. This study aimed to investigate the levels of serum prolactin depending on the use of antipsychotic drugs in patients through the Clinical Data Warehouse (CDW).
Methods: We conducted a cohort search in the CDW application and got 260 patients’ medical records diagnosed with schizophrenia, schizotypal and delusional disorders, manic episodes, and bipolar affective disorders who were taking one of risperidone, blonanserin, amisulpride, and olanzapine. After that, we reviewed the medical data and used the ANCOVA analysis and the post hoc test to compare serum prolactin levels among four antipsychotic drug groups.
Results: Among the 117 subjects included in the analysis, the mean serum prolactin level was 64.6 ± 54.6 ng/ml. Serum prolactin levels were significantly higher in subjects taking risperidone or amisulpride compared to blonanserin and olanzapine. The female subjects who took blonanserin, olanzapine, and risperidone had significantly higher prolactin levels, but there was no difference in serum prolactin levels between sex in the subjects who took amisulpride.
Conclusion: This study suggests the need for regular monitoring of serum prolactin levels in patients who are taking antipsychotics, especially in female patients. And we showed that there is a possibility to conduct more effective and simpler big data research using the CDW. Further studies on the subjects with controlled confounding variables and larger sample groups are needed.
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KEYWORD
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Antipsychotic agents, Prolactin, Hyperprolactinemia, Affective disorder, psychotic, Big data
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