Observational Study
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Psychiatry. Aug 19, 2024; 14(8): 1233-1243
Published online Aug 19, 2024. doi: 10.5498/wjp.v14.i8.1233
Nomogram for predicting the risk of anxiety and depression in patients with non-mild burns
Jie Chen, Jian-Fei Zhang, Xia Xiao, Yu-Jun Tang, He-Jin Huang, Wen-Wen Xi, Li-Na Liu, Zheng-Zhou Shen, Jian-Hua Tan, Feng Yang
Jie Chen, Jian-Fei Zhang, Xia Xiao, Yu-Jun Tang, He-Jin Huang, Wen-Wen Xi, Li-Na Liu, Feng Yang, Department of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China
Zheng-Zhou Shen, Department of Beauty Surgery, Nantong Shenmei Medical Beauty Clinic, Nantong 226001, Jiangsu Province, China
Jian-Hua Tan, Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang 421001, Hunan Province, China
Author contributions: Chen J and Yang F performed the experiments, analyzed the data, and wrote the manuscript; Zhang JF, Xiao X, Tang YJ, Huang HJ, Xi WW, Liu LN, Shen ZZ, and Tan JH interpreted the results; Yang F designed the study and approved the final manuscript; all authors critically reviewed and provided final approval of the manuscript; all authors were responsible for the decision to submit the manuscript for publication.
Supported by the Natural Science Foundation of Hunan Provincial Department of Science and Technology, Departmental Joint Fund, No. 2023JJ60360.
Institutional review board statement: This study was reviewed and approved by the Institutional Review Board of the Second Affiliated Hospital, Hengyang Medical School, University of South China.
Informed consent statement: The ethics committee has agreed to waive the requirement for informed consent because of the retrospective nature of the study.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: The datasets used and/or analyzed in the current study shall be made available from the corresponding author upon reasonable request.
STROBE statement: The authors have read the STROBE Statement—checklist of items, and the manuscript was prepared and revised according to the STROBE Statement—checklist of items.
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: Feng Yang, MM, Chief Physician, Department of Burns and Plastic Surgery, The Second Affiliated Hospital, Hengyang Medical School, University of South China, No. 35 Jiefang Avenue, Zhengxiang District, Hengyang 421001, Hunan Province, China. yangf@fsyy.usc.edu.cn
Received: May 29, 2024
Revised: July 2, 2024
Accepted: July 8, 2024
Published online: August 19, 2024
Processing time: 74 Days and 21.1 Hours
Abstract
BACKGROUND

Post-burn anxiety and depression affect considerably the quality of life and recovery of patients; however, limited research has demonstrated risk factors associated with the development of these conditions.

AIM

To predict the risk of developing post-burn anxiety and depression in patients with non-mild burns using a nomogram model.

METHODS

We enrolled 675 patients with burns who were admitted to The Second Affiliated Hospital, Hengyang Medical School, University of South China between January 2019 and January 2023 and met the inclusion criteria. These patients were randomly divided into development (n = 450) and validation (n = 225) sets in a 2:1 ratio. Univariate and multivariate logistic regression analyses were conducted to identify the risk factors associated with post-burn anxiety and depression diagnoses, and a nomogram model was constructed.

RESULTS

Female sex, age < 33 years, unmarried status, burn area ≥ 30%, and burns on the head, face, and neck were independent risk factors for developing post-burn anxiety and depression in patients with non-mild burns. The nomogram model demonstrated predictive accuracies of 0.937 and 0.984 for anxiety and 0.884 and 0.923 for depression in the development and validation sets, respectively, and good predictive performance. Calibration and decision curve analyses confirmed the clinical utility of the nomogram.

CONCLUSION

The nomogram model predicted the risk of post-burn anxiety and depression in patients with non-mild burns, facilitating the early identification of high-risk patients for intervention and treatment.

Keywords: Burn, Post-burn anxiety, Depression, Risk prediction, Nomogram model

Core Tip: This is a retrospective study to predict the risk of developing post-burn anxiety and depression in patients with non-mild burns using a nomogram model. The model was constructed using data from 675 patients with non-mild burns who were classified into development and validation sets in a 2:1 ratio. The nomogram model accurately predicted the risk of post-burn anxiety and depression in these patients, facilitating early identification of and intervention in high-risk individuals.