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Published in: Journal of Neural Transmission 4/2024

26-01-2024 | Schizophrenia | Psychiatry and Preclinical Psychiatric Studies - Original Article

The relationship between serum prolactin levels and cognitive function in drug-naïve schizophrenia patients: a cross-sectional study

Authors: Guoshuai Luo, Fengfeng Bai, Xuehui Qu, Yifan Jing, Shuo Wang, Zaimina Xuekelaiti, Cong Yao, Meijuan Li, Jie Li

Published in: Journal of Neural Transmission | Issue 4/2024

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Abstract

This study aimed to investigate the association between serum prolactin levels and psychiatric symptoms and cognitive function in drug-naïve schizophrenia patients. The study recruited 91 drug-naïve schizophrenia patients and 67 healthy controls. Sociodemographic and clinical data were collected, and cognitive function was assessed using the Measurement and Treatment Research to Improve Cognition in Schizophrenia (MATRICS) Consensus Cognitive Battery (MCCB). Serum prolactin levels were measured, and statistical analyses were performed to examine the relationship between prolactin levels, clinical symptoms, and cognitive function. The study found that drug-naïve schizophrenia patients had severe cognitive deficits compared to healthy controls across all seven domains of the MCCB. However, no correlation was found between these patients’ serum prolactin levels and clinical severity or cognitive function. The drug-naïve schizophrenia patients had significant cognitive deficits compared to healthy controls. However, there was no significant relationship between prolactin levels and symptomatology and cognition in drug-naïve schizophrenia patients.
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Metadata
Title
The relationship between serum prolactin levels and cognitive function in drug-naïve schizophrenia patients: a cross-sectional study
Authors
Guoshuai Luo
Fengfeng Bai
Xuehui Qu
Yifan Jing
Shuo Wang
Zaimina Xuekelaiti
Cong Yao
Meijuan Li
Jie Li
Publication date
26-01-2024
Publisher
Springer Vienna
Keyword
Schizophrenia
Published in
Journal of Neural Transmission / Issue 4/2024
Print ISSN: 0300-9564
Electronic ISSN: 1435-1463
DOI
https://doi.org/10.1007/s00702-024-02748-4

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