Comparison of Clinical Indicators for Differentiating Unipolar and Bipolar Depression

IF 3.9 2区医学 Q1 CLINICAL NEUROLOGY

Bipolar Disorders Pub Date : 2026-10-13 DOI:10.1111/bdi.70190

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

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引用次数: 0

Abstract

Background

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.

Methods

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.

Results

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%.

Conclusions

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.

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单极抑郁与双相抑郁临床鉴别指标的比较。

背景：全球重性抑郁障碍和双相抑郁症（BD）的患病率有所增加，但BD经常被误诊和管理不善。本研究旨在从人口统计学和实验室指标中确定区分单极抑郁症（UD）和双相障碍的关键生物标志物，帮助早期诊断和个性化治疗。方法：本研究于2022年1月- 2024年12月在新乡医学院第二附属医院进行。共纳入174例住院患者，其中87例诊断为UD， 87例诊断为BD。收集人口统计学和实验室数据。进行单因素和多因素logistic回归分析以确定危险因素。采用受试者工作特征（ROC）曲线分析评价鉴别能力。结果：与UD相比，BD表现出更高的男性比例（p = 0.004），显著升高的总胆红素（TBIL）、肌酐和肌酸激酶（CK）水平，以及较低的甲状腺素（T4）水平(p)。结论：关键的代谢和肌肉生物标志物，包括TBIL、CK、PLT和T4，被确定为UD和BD之间的潜在鉴别因子。这些发现证明了诊断潜力，并强调了在更大规模研究中进一步验证的必要性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Bipolar Disorders 医学-精神病学

CiteScore

8.20

自引率

7.40%

发文量

审稿时长

6-12 weeks

期刊介绍： Bipolar Disorders is an international journal that publishes all research of relevance for the basic mechanisms, clinical aspects, or treatment of bipolar disorders and related illnesses. It intends to provide a single international outlet for new research in this area and covers research in the following areas: biochemistry physiology neuropsychopharmacology neuroanatomy neuropathology genetics brain imaging epidemiology phenomenology clinical aspects and therapeutics of bipolar disorders Bipolar Disorders also contains papers that form the development of new therapeutic strategies for these disorders as well as papers on the topics of schizoaffective disorders, and depressive disorders as these can be cyclic disorders with areas of overlap with bipolar disorders. The journal will consider for publication submissions within the domain of: Perspectives, Research Articles, Correspondence, Clinical Corner, and Reflections. Within these there are a number of types of articles: invited editorials, debates, review articles, original articles, commentaries, letters to the editors, clinical conundrums, clinical curiosities, clinical care, and musings.