题名 | Development and validation of a nomogram based on lymphocyte subsets to distinguish bipolar depression from major depressive disorder. |
作者 | |
发表日期 | 2022-10-06 |
发表期刊 | Frontiers in psychiatry 影响因子和分区 |
语种 | 英语 |
原始文献类型 | Article |
关键词 | bipolar depression (BD) differential diagnosis lymphocyte subsets major depressive disorder (MDD) nomogram |
其他关键词 | REGULATORY T-CELLS ; GENE-EXPRESSION ; B-CELLS ; INTERNATIONAL SOCIETY ; CLINICAL-FEATURES ; IMMUNE ACTIVATION ; ONSET ; AGE ; ANXIETY ; MOOD |
摘要 | Bipolar depression (BD) and major depressive disorder (MDD) are both common affective disorders. The common depression episodes make it difficult to distinguish between them, even for experienced clinicians. Failure to properly diagnose them in a timely manner leads to inappropriate treatment strategies. Therefore, it is important to distinguish between BD and MDD. The aim of this study was to develop and validate a nomogram model that distinguishes BD from MDD based on the characteristics of lymphocyte subsets., A prospective cross-sectional study was performed. Blood samples were obtained from participants who met the inclusion criteria. The least absolute shrinkage and selection operator (LASSO) regression model was used for factor selection. A differential diagnosis nomogram for BD and MDD was developed using multivariable logistic regression and the area under the curve (AUC) with 95% confidence interval (CI) was calculated, as well as the internal validation using a bootstrap algorithm with 1,000 repetitions. Calibration curve and decision curve analysis (DCA) were used to evaluate the calibration and clinical utility of the nomogram, respectively., {AbstractText=A total of 166 participants who were diagnosed with BD (83 cases) or MDD (83 cases), as well as 101 healthy controls (HCs) between June 2018 and January 2022 were enrolled in this study. CD19+ B cells, CD3+ T cells, CD3-CD16/56+ NK cells, and total lymphocyte counts were strong predictors of the diagnosis of BD and MDD and were included in the differential diagnosis nomogram. The AUC of the nomogram and internal validation were 0.922 (95%; CI, 0.879-0.965), and 0.911 (95% CI, 0.838-0.844), respectively. The calibration curve used to discriminate BD from MDD showed optimal agreement between the nomogram and the actual diagnosis. The results of DCA showed that the net clinical benefit was significant.}, This is an easy-to-use, repeatable, and economical nomogram for differential diagnosis that can help clinicians in the individual diagnosis of BD and MDD patients, reduce the risk of misdiagnosis, facilitate the formulation of appropriate treatment strategies and intervention plans. |
资助项目 | Huzhou Public Welfare Research Project Social Development Category; Social Development Project of Public Welfare Technology Application in Zhejiang Province; [2018GYB49]; [LGF19H090002] |
出版者 | FRONTIERS MEDIA SA |
出版地 | LAUSANNE |
ISSN | 1664-0640 |
卷号 | 13页码:1017888 |
DOI | 10.3389/fpsyt.2022.1017888 |
页数 | 12 |
WOS类目 | Psychiatry |
WOS研究方向 | Psychiatry |
WOS记录号 | WOS:000873754300001 |
收录类别 | PUBMED ; SCIE ; SCOPUS ; SSCI |
URL | 查看原文 |
PubMed ID | 36276314 |
SCOPUSEID | 2-s2.0-85140470660 |
社科自定义期刊分类 | E类 |
通讯作者地址 | [Shen, Zhongxia]Department of Neurosis and Psychosomatic Diseases,Huzhou Third Municipal Hospital,The Affiliated Hospital of Huzhou University,Huzhou,China ; [Zhang, Xiaomei]Department of Neurosis and Psychosomatic Diseases,Huzhou Third Municipal Hospital,The Affiliated Hospital of Huzhou University,Huzhou,China |
Scopus学科分类 | Psychiatry and Mental Health |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | https://kms.wmu.edu.cn/handle/3ETUA0LF/166995 |
专题 | 第一临床医学院(信息与工程学院)、附属第一医院_精神病与精神卫生学 |
通讯作者 | Shen, Zhongxia; Zhang, Xiaomei |
作者单位 | 1.Department of Neurosis and Psychosomatic Diseases,Huzhou Third Municipal Hospital,The Affiliated Hospital of Huzhou University,Huzhou,China; 2.Department of Psychiatry,Wenzhou Medical University,Wenzhou,China |
推荐引用方式 GB/T 7714 | Su, Liming,Shuai, Yibing,Mou, Shaoqi,et al. Development and validation of a nomogram based on lymphocyte subsets to distinguish bipolar depression from major depressive disorder.[J]. Frontiers in psychiatry,2022,13:1017888. |
APA | Su, Liming., Shuai, Yibing., Mou, Shaoqi., Shen, Yue., Shen, Xinhua., ... & Zhang, Xiaomei. (2022). Development and validation of a nomogram based on lymphocyte subsets to distinguish bipolar depression from major depressive disorder.. Frontiers in psychiatry, 13, 1017888. |
MLA | Su, Liming,et al."Development and validation of a nomogram based on lymphocyte subsets to distinguish bipolar depression from major depressive disorder.".Frontiers in psychiatry 13(2022):1017888. |
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