Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state

Yuhao Xu,1,* Shun Yao,2,* Hong Wei,1 Xiaolan Zhu,3 Ming Yu,1 Yuefeng Li2 1Department of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People’s Republic of China; 2Department of Radiology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People’s R...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Xu Y, Yao S, Wei H, Zhu X, Yu M, Li Y
Formato: article
Lenguaje:EN
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://doaj.org/article/78adafc0b34940ba86a8e400e8ff8b05
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:78adafc0b34940ba86a8e400e8ff8b05
record_format dspace
spelling oai:doaj.org-article:78adafc0b34940ba86a8e400e8ff8b052021-12-02T05:19:16ZApplication value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state1178-2021https://doaj.org/article/78adafc0b34940ba86a8e400e8ff8b052018-02-01T00:00:00Zhttps://www.dovepress.com/application-value-of-selected-serum-indicators-in-the-differential-dia-peer-reviewed-article-NDThttps://doaj.org/toc/1178-2021Yuhao Xu,1,* Shun Yao,2,* Hong Wei,1 Xiaolan Zhu,3 Ming Yu,1 Yuefeng Li2 1Department of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People’s Republic of China; 2Department of Radiology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People’s Republic of China; 3Department of Central Laboratory, The Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, People’s Republic of China *These authors contributed equally to this work Background: Transient depressive state (TDS) is a transient, negative emotional state caused by certain events or situations. Because of the similarity in depressive symptoms between depression and TDS that arise within 2 weeks of their onset, it is difficult to distinguish TDS from depression. The aims of the present study were to investigate the application value of selected serum indicators in the differential diagnosis of geriatric depression and TDS in the early stage and to provide evidence for treatment.Patients and methods: In this study, a total of 274 elderly patients were divided into the depression group (n=144) and the TDS group (n=130). All participants’ serum samples were collected, and 9 selected serum indicators were analyzed. Afterward, 90 patients with depression and 90 patients with TDS were used to build the diagnostic model. A binary logistic regression analysis was used to establish regression models, and the area under the receiver operating characteristic (ROC) curve was drawn. Finally, another 54 patients with depression and 40 patients with TDS were used to validate our model.Results: For the 9 screening serum indicators, the 3 serum indicators selected to build the regression model were BDNF (P=0.001), IL-1β (P<0.001), and cortisol (P<0.001). The regression equation was Y = 1/[1 + e-(-16.258 - 0.018 (BDNF) + 0.256 (IL-1β) + 0.093 (Cortisol))], and the ROC curve of combined detection was 0.926. The diagnostic rate of the logistic model was 89.36%.Conclusion: The logistic regression model and ROC curves based on serum levels of BDNF, IL-1β, and cortisol could distinguish depression from TDS in early stage, which could provide assistance to the differential diagnosis of geriatric depression and TDS. Keywords: CCMD-3, depression, logistic regression, transient depressive state, ROC curveXu YYao SWei HZhu XYu MLi YDove Medical PressarticleCCMD-3DepressionLogistic regressionTransient depressive stateROC curveNeurosciences. Biological psychiatry. NeuropsychiatryRC321-571Neurology. Diseases of the nervous systemRC346-429ENNeuropsychiatric Disease and Treatment, Vol Volume 14, Pp 459-465 (2018)
institution DOAJ
collection DOAJ
language EN
topic CCMD-3
Depression
Logistic regression
Transient depressive state
ROC curve
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
spellingShingle CCMD-3
Depression
Logistic regression
Transient depressive state
ROC curve
Neurosciences. Biological psychiatry. Neuropsychiatry
RC321-571
Neurology. Diseases of the nervous system
RC346-429
Xu Y
Yao S
Wei H
Zhu X
Yu M
Li Y
Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state
description Yuhao Xu,1,* Shun Yao,2,* Hong Wei,1 Xiaolan Zhu,3 Ming Yu,1 Yuefeng Li2 1Department of Neurology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People’s Republic of China; 2Department of Radiology, The Affiliated Hospital of Jiangsu University, Zhenjiang, People’s Republic of China; 3Department of Central Laboratory, The Fourth Affiliated Hospital of Jiangsu University, Zhenjiang, People’s Republic of China *These authors contributed equally to this work Background: Transient depressive state (TDS) is a transient, negative emotional state caused by certain events or situations. Because of the similarity in depressive symptoms between depression and TDS that arise within 2 weeks of their onset, it is difficult to distinguish TDS from depression. The aims of the present study were to investigate the application value of selected serum indicators in the differential diagnosis of geriatric depression and TDS in the early stage and to provide evidence for treatment.Patients and methods: In this study, a total of 274 elderly patients were divided into the depression group (n=144) and the TDS group (n=130). All participants’ serum samples were collected, and 9 selected serum indicators were analyzed. Afterward, 90 patients with depression and 90 patients with TDS were used to build the diagnostic model. A binary logistic regression analysis was used to establish regression models, and the area under the receiver operating characteristic (ROC) curve was drawn. Finally, another 54 patients with depression and 40 patients with TDS were used to validate our model.Results: For the 9 screening serum indicators, the 3 serum indicators selected to build the regression model were BDNF (P=0.001), IL-1β (P<0.001), and cortisol (P<0.001). The regression equation was Y = 1/[1 + e-(-16.258 - 0.018 (BDNF) + 0.256 (IL-1β) + 0.093 (Cortisol))], and the ROC curve of combined detection was 0.926. The diagnostic rate of the logistic model was 89.36%.Conclusion: The logistic regression model and ROC curves based on serum levels of BDNF, IL-1β, and cortisol could distinguish depression from TDS in early stage, which could provide assistance to the differential diagnosis of geriatric depression and TDS. Keywords: CCMD-3, depression, logistic regression, transient depressive state, ROC curve
format article
author Xu Y
Yao S
Wei H
Zhu X
Yu M
Li Y
author_facet Xu Y
Yao S
Wei H
Zhu X
Yu M
Li Y
author_sort Xu Y
title Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state
title_short Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state
title_full Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state
title_fullStr Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state
title_full_unstemmed Application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state
title_sort application value of selected serum indicators in the differential diagnosis of geriatric depression and transient depressive state
publisher Dove Medical Press
publishDate 2018
url https://doaj.org/article/78adafc0b34940ba86a8e400e8ff8b05
work_keys_str_mv AT xuy applicationvalueofselectedserumindicatorsinthedifferentialdiagnosisofgeriatricdepressionandtransientdepressivestate
AT yaos applicationvalueofselectedserumindicatorsinthedifferentialdiagnosisofgeriatricdepressionandtransientdepressivestate
AT weih applicationvalueofselectedserumindicatorsinthedifferentialdiagnosisofgeriatricdepressionandtransientdepressivestate
AT zhux applicationvalueofselectedserumindicatorsinthedifferentialdiagnosisofgeriatricdepressionandtransientdepressivestate
AT yum applicationvalueofselectedserumindicatorsinthedifferentialdiagnosisofgeriatricdepressionandtransientdepressivestate
AT liy applicationvalueofselectedserumindicatorsinthedifferentialdiagnosisofgeriatricdepressionandtransientdepressivestate
_version_ 1718400479554174976