Nomogram for predicting the risk of anxiety and depression in patients with non-mild burns

作     者：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 

作者机构：Department of Burns and Plastic SurgeryThe Second Affiliated HospitalHengyang Medical SchoolUniversity of South ChinaHengyang 421001Hunan ProvinceChina Department of Beauty SurgeryNantong Shenmei Medical Beauty ClinicNantong 226001Jiangsu ProvinceChina Department of Respiratory and Critical Care MedicineThe Second Affiliated HospitalHengyang Medical SchoolUniversity of South ChinaHengyang 421001Hunan ProvinceChina 

出 版 物：《World Journal of Psychiatry》 (世界精神病学杂志)

年 卷 期：2024年第14卷第8期

页      面：1233-1243页

核心收录：

学科分类：1002[医学-临床医学] 100205[医学-精神病与精神卫生学] 10[医学] 

基　　金：the Natural Science Foundation of Hunan Provincial Department of Science and Technology Departmental Joint Fund No.2023JJ60360 

主　　题：Burn Post-burn anxiety Depression Risk prediction Nomogram model 

摘      要：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 *** To predict the risk of developing post-burn anxiety and depression in patients with non-mild burns using a nomogram *** 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 *** patients were randomly divided into development(n=450)and validation(n=225)sets in a 2:1 *** and multivariate logistic regression analyses were conducted to identify the risk factors associated with post-burn anxiety and depression dia-gnoses,and a nomogram model was *** Female sex,age33 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 *** 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 *** and decision curve analyses confirmed the clinical utility of the *** 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.