Authors
Fang Wu, Shuai Yu, Li-Fang Zhu, Yu-Yi Li, Peng-Jiao Xu, Xiao-Yang Zhang, Rong-Jie He, Ya-Nan Guo, Chuan-Sheng Wang, Ya-Hui Xu
Published in
Bipolar disorders. Volume 28. Issue 7. Pages e70190.
Abstract
The global prevalence of major depressive disorder and bipolar depression (BD) has increased, with BD often underdiagnosed and mismanaged. This study aims to identify key biomarkers from demographic and laboratory indicators to differentiate unipolar depression (UD) from BD, aiding early diagnosis and personalized treatment.
This study was conducted at the Second Affiliated Hospital of Xinxiang Medical University between January 2022 and December 2024. A total of 174 inpatients were included, with 87 diagnosed with UD and 87 with BD. Demographic and laboratory data were collected. Univariate and multivariate logistic regression analyses were conducted to identify the risk factors. Receiver operating characteristic (ROC) curve analysis was used to evaluate discriminatory ability.
BD exhibited a higher male proportion (p = 0.004) and significantly elevated total bilirubin (TBIL), creatinine, and creatine kinase (CK) levels, along with lower thyroxine (T4) levels, compared to UD (p < 0.05). Multivariate analysis identified platelets, TBIL, T4, and CK as independent risk factors (p < 0.05). ROC analysis revealed TBIL (Area Under the Curve [AUC] = 0.609) and CK (AUC = 0.621) as key discriminators, with a combined model achieving an AUC of 0.724, sensitivity of 75.9%, and specificity of 59.8%.
Key metabolic and muscular biomarkers, including TBIL, CK, PLT, and T4, were identified as potential differentiators between UD and BD. These findings demonstrated diagnostic potential and underscored the need for further validation in larger studies.
PMID:
42867166
Bibliographic data and abstract were imported from PubMed on 14 Oct 2026.
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