Zhou JC, Cao Y, Xu XY, Xian ZP. Analysis of risk factors of suicidal ideation in adolescent patients with depression and construction of prediction model. World J Psychiatry 2024; 14(3): 388-397 [PMID: 38617983 DOI: 10.5498/wjp.v14.i3.388]
Corresponding Author of This Article
Zhen-Ping Xian, MBBS, Chief Physician, Department of Psychosomatic Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The First People's Hospital of Lianyungang, No. 182 Tongguan North Road, Lianyungang 222000, Jiangsu Province, China. 18994506108@163.com
Research Domain of This Article
Psychology, Psychoanalysis
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Psychiatry. Mar 19, 2024; 14(3): 388-397 Published online Mar 19, 2024. doi: 10.5498/wjp.v14.i3.388
Analysis of risk factors of suicidal ideation in adolescent patients with depression and construction of prediction model
Jun-Chao Zhou, Yan Cao, Xu-Yuan Xu, Zhen-Ping Xian
Jun-Chao Zhou, Yan Cao, Xu-Yuan Xu, Zhen-Ping Xian, Department of Psychosomatic Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The First People's Hospital of Lianyungang, Lianyungang 222000, Jiangsu Province, China
Author contributions: Zhou JC designed and performed the study and wrote the paper; Xian ZP designed the study and supervised the report; Cao Y and Xu XY organized the data and provided clinical advice. All authors were involved in the critical review of the results and contributed to, read, and approved the final manuscript.
Institutional review board statement: The study was reviewed and approved by the Ethics Committee of the First People's Hospital of Lianyungang (Approval No. KY-20230926001-01).
Informed consent statement: The Ethics Committee granted an exemption from obtaining informed consent.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: Data used in this study can be obtained from the corresponding author.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Zhen-Ping Xian, MBBS, Chief Physician, Department of Psychosomatic Medicine, The Affiliated Lianyungang Hospital of Xuzhou Medical University, The First People's Hospital of Lianyungang, No. 182 Tongguan North Road, Lianyungang 222000, Jiangsu Province, China. 18994506108@163.com
Received: December 12, 2023 Peer-review started: December 12, 2023 First decision: January 2, 2024 Revised: January 12, 2023 Accepted: February 27, 2024 Article in press: February 27, 2024 Published online: March 19, 2024 Processing time: 98 Days and 2.3 Hours
ARTICLE HIGHLIGHTS
Research background
Depression is one of the most severe diseases affecting the mental health of adolescents. Most adolescents with depression have suicidal ideation (SI). However, few studies have focused on the factors related to SI, and there is a lack of effective predictive models.
Research motivation
This study determined the factors influencing SI in adolescent patients with depression and construct a risk prediction model to provide a theoretical basis for prevention and intervention.
Research objectives
This study aimed to construct a risk prediction model for SI in adolescents with depression and provide an assessment tool for early screening.
Research methods
Based on a retrospective analysis of social factors and laboratory indicators of 150 adolescent patients with depression and SI, this study constructed and internally validated a risk prediction model.
Research results
Studies have shown that trauma history, predisposing factors, and serum ferritin levels (SF), high-sensitivity C-reactive protein levels (hs-CRP), and high-density lipoprotein (HDL-C) levels influence SI in adolescents with depression. The AUC of the nomogram prediction model was 0.831 (95%CI: 0.763–0.899), the sensitivity was 0.912, and the specificity was 0.678. The high net benefit of the DCA and the average absolute error of the calibration curve were 0.043, indicating that the model had a good fit.
Research conclusions
The nomogram model based on trauma history, predisposing factors, SF, hs-CRP levels, and HDL-C levels can effectively predict the occurrence of SI in adolescents with depression, which can help in implementing early clinical measures to reduce suicide mortality in adolescents with depression.
Research perspectives
According to the general data and laboratory indicators of adolescents with depression, we identified risk factors for SI and used them to develop an effective predictive model for quick detection.
