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Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery

Among the elderly, depression is one of the most common mental disorders, which seriously affects their physical and mental health and quality of life, and their suicide rate is particularly high. Depression in the elderly is strongly associated with surgery. In this study, we aimed to explore the r...

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Autores principales: Xue, Dinghao, Guo, Xu, Li, Yanxiang, Sheng, Zhuoqi, Wang, Long, Liu, Luyu, Cao, Jiangbei, Liu, Yanhong, Lou, Jingsheng, Li, Hao, Hao, Xinyu, Zhou, Zhikang, Fu, Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136581/
https://www.ncbi.nlm.nih.gov/pubmed/37190611
http://dx.doi.org/10.3390/brainsci13040646
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author Xue, Dinghao
Guo, Xu
Li, Yanxiang
Sheng, Zhuoqi
Wang, Long
Liu, Luyu
Cao, Jiangbei
Liu, Yanhong
Lou, Jingsheng
Li, Hao
Hao, Xinyu
Zhou, Zhikang
Fu, Qiang
author_facet Xue, Dinghao
Guo, Xu
Li, Yanxiang
Sheng, Zhuoqi
Wang, Long
Liu, Luyu
Cao, Jiangbei
Liu, Yanhong
Lou, Jingsheng
Li, Hao
Hao, Xinyu
Zhou, Zhikang
Fu, Qiang
author_sort Xue, Dinghao
collection PubMed
description Among the elderly, depression is one of the most common mental disorders, which seriously affects their physical and mental health and quality of life, and their suicide rate is particularly high. Depression in the elderly is strongly associated with surgery. In this study, we aimed to explore the risk factors and establish a predictive model of depressive symptoms 1 month after video-assisted thoracoscopic surgery (VATS) in elderly patients. The study participants included 272 elderly patients (age > 65 years) undergoing VATS from April 2020 to May 2021 at 1 of 18 medical centers in China. The patients were divided into a depression group and a nondepression group according to the Chinese version of the nine-item Patient Health Questionnaire (PHQ-9). The patients’ pre- and postoperative characteristics and questionnaires were collected and compared. Then, binary logistic regression was used to determine the risk factors that affect postoperative depressive symptoms, and the predictive model was constructed. The prediction efficiency of the model was evaluated by drawing the receiver operating characteristic curve (ROC), and the area under the curve (AUC) was calculated to evaluate the value of the predictive model. Among all of the included patients, 16.54% (45/272) suffered from depressive symptoms after VATS. The results of the univariate analysis showed that body mass index (BMI), chronic pain, leukocyte count, fibrinogen levels, prothrombin time, ASA physical status, infusion volume, anxiety, sleep quality, and postoperative pain were related to postoperative depressive symptoms (all p < 0.05). The results of multivariate logistic regression analysis showed that a high fibrinogen level (OR = 2.42), postoperative anxiety (OR = 12.05), poor sleep quality (OR = 0.61), and pain (OR = 2.85) were risk factors of postoperative depressive symptoms. A predictive model was constructed according to the regression coefficient of each variable, the ROC curve was drawn, and the AUC value was calculated to be 0.889. The prediction model may help medical personnel identify older patients at risk of developing depressive disorders associated with VATS and may be useful for clinical purposes.
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spelling pubmed-101365812023-04-28 Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery Xue, Dinghao Guo, Xu Li, Yanxiang Sheng, Zhuoqi Wang, Long Liu, Luyu Cao, Jiangbei Liu, Yanhong Lou, Jingsheng Li, Hao Hao, Xinyu Zhou, Zhikang Fu, Qiang Brain Sci Article Among the elderly, depression is one of the most common mental disorders, which seriously affects their physical and mental health and quality of life, and their suicide rate is particularly high. Depression in the elderly is strongly associated with surgery. In this study, we aimed to explore the risk factors and establish a predictive model of depressive symptoms 1 month after video-assisted thoracoscopic surgery (VATS) in elderly patients. The study participants included 272 elderly patients (age > 65 years) undergoing VATS from April 2020 to May 2021 at 1 of 18 medical centers in China. The patients were divided into a depression group and a nondepression group according to the Chinese version of the nine-item Patient Health Questionnaire (PHQ-9). The patients’ pre- and postoperative characteristics and questionnaires were collected and compared. Then, binary logistic regression was used to determine the risk factors that affect postoperative depressive symptoms, and the predictive model was constructed. The prediction efficiency of the model was evaluated by drawing the receiver operating characteristic curve (ROC), and the area under the curve (AUC) was calculated to evaluate the value of the predictive model. Among all of the included patients, 16.54% (45/272) suffered from depressive symptoms after VATS. The results of the univariate analysis showed that body mass index (BMI), chronic pain, leukocyte count, fibrinogen levels, prothrombin time, ASA physical status, infusion volume, anxiety, sleep quality, and postoperative pain were related to postoperative depressive symptoms (all p < 0.05). The results of multivariate logistic regression analysis showed that a high fibrinogen level (OR = 2.42), postoperative anxiety (OR = 12.05), poor sleep quality (OR = 0.61), and pain (OR = 2.85) were risk factors of postoperative depressive symptoms. A predictive model was constructed according to the regression coefficient of each variable, the ROC curve was drawn, and the AUC value was calculated to be 0.889. The prediction model may help medical personnel identify older patients at risk of developing depressive disorders associated with VATS and may be useful for clinical purposes. MDPI 2023-04-11 /pmc/articles/PMC10136581/ /pubmed/37190611 http://dx.doi.org/10.3390/brainsci13040646 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Xue, Dinghao
Guo, Xu
Li, Yanxiang
Sheng, Zhuoqi
Wang, Long
Liu, Luyu
Cao, Jiangbei
Liu, Yanhong
Lou, Jingsheng
Li, Hao
Hao, Xinyu
Zhou, Zhikang
Fu, Qiang
Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery
title Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery
title_full Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery
title_fullStr Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery
title_full_unstemmed Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery
title_short Risk Factor Analysis and a Predictive Model of Postoperative Depressive Symptoms in Elderly Patients Undergoing Video-Assisted Thoracoscopic Surgery
title_sort risk factor analysis and a predictive model of postoperative depressive symptoms in elderly patients undergoing video-assisted thoracoscopic surgery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10136581/
https://www.ncbi.nlm.nih.gov/pubmed/37190611
http://dx.doi.org/10.3390/brainsci13040646
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