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Authors Xu Y, Yao S, Wei H, Zhu X, Yu M, Li Y
Received 21 September 2017
Accepted for publication 22 December 2017
Published 8 February 2018 Volume 2018:14 Pages 459—465
DOI https://doi.org/10.2147/NDT.S152247
Checked for plagiarism Yes
Review by Single-blind
Peer reviewers approved by Dr Colin Mak
Peer reviewer comments 3
Editor who approved publication: Professor Wai Kwong Tang
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