Changes of adrenocorticotropic hormone rhythm and cortisol circadian rhythm in patients with depression complicated with anxiety and their effects on the psychological state of patients

: This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group ( = 21), and depression without anxiety symptoms as t...

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Published inFrontiers in psychiatry Vol. 13; p. 1030811
Main Authors Xie, Zheng, Deng, Yajie, Xie, Chunyu, Yao, Yuanlong
Format Journal Article
LanguageEnglish
Published Switzerland Frontiers Media S.A 18.01.2023
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Abstract : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group ( = 21), and depression without anxiety symptoms as the NA-MDD group ( = 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) ( < 0.05). No visible difference was found in ACTH levels of patients in different groups ( > 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher ( < 0.05). The differences in TAS scores between the two groups were significantly statistically significant ( < 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety.
AbstractList : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group ( = 21), and depression without anxiety symptoms as the NA-MDD group ( = 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) ( < 0.05). No visible difference was found in ACTH levels of patients in different groups ( > 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher ( < 0.05). The differences in TAS scores between the two groups were significantly statistically significant ( < 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety.
Objective: This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group (n = 21), and depression without anxiety symptoms as the NA-MDD group (n = 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) (P < 0.05). No visible difference was found in ACTH levels of patients in different groups (P > 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher (P < 0.05). The differences in TAS scores between the two groups were significantly statistically significant (P < 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety.
Objective : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental state. In this work, with depression complicated with anxiety patients as the A-MDD group ( n = 21), and depression without anxiety symptoms as the NA-MDD group ( n = 21). Firstly, data features were extracted according to the electroencephalo-graph (EEG) data of different patients, and a DR model was constructed for diagnosis. The Hamilton Depression Scale 24 (HAMD-24) was employed to evaluate the severity, and the ACTH and cortisol levels were detected and compared for patients in the A-MDD group and NA-MDD group. In addition, the psychological status of the patients was assessed using the Toronto Alexithymia Scale (TAS). As a result, the AI-based DR model showed a high recognition accuracy for depression. The HAMD-24 score in the A-MDD group (31.81 ± 5.39 points) was statistically higher than the score in the NA-MDD group (25.25 ± 5.02 points) ( P < 0.05). No visible difference was found in ACTH levels of patients in different groups ( P > 0.05). The incidence of cortisol rhythm disorder (CRD) in the A-MDD group was much higher ( P < 0.05). The differences in TAS scores between the two groups were significantly statistically significant ( P < 0.01). In conclusion, the AI-based DR Model achieves a more accurate identification of depression; depression with or without anxiety has different effects on the mental state of patients. CRD may be one of the biological markers of depression combined with anxiety.
Author Xie, Zheng
Deng, Yajie
Yao, Yuanlong
Xie, Chunyu
AuthorAffiliation 1 Department of Psychological Medicine, Henan Provincial People’s Hospital, People’s Hospital of Zhengzhou University , Zhengzhou, Henan , China
3 Medical College of Henan University , Kaifeng, Henan , China
2 Henan Center for Disease Control and Prevention , Zhengzhou, Henan , China
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Keywords cortisol
adrenocortical hormones
depression
artificial intelligence
circadian rhythm
Language English
License Copyright © 2023 Xie, Deng, Xie and Yao.
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This article was submitted to Computational Psychiatry, a section of the journal Frontiers in Psychiatry
Edited by: Muhammad Zakarya, Abdul Wali Khan University Mardan, Pakistan
Reviewed by: Ahmad Ali, Shanghai Jiao Tong University, China; Ana Lilia Cerda Molina, Instituto Nacional de Psiquiatría “Ramón de la Fuente Muñiz,” Mexico
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Snippet : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on mental...
Objective : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on...
Objective : This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on...
Objective: This work was to explore the rhythm of adrenocorticotropic hormone (ACTH) and cortisol in patients with depression and anxiety and their effects on...
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SubjectTerms adrenocortical hormones
artificial intelligence
circadian rhythm
cortisol
depression
Psychiatry
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Title Changes of adrenocorticotropic hormone rhythm and cortisol circadian rhythm in patients with depression complicated with anxiety and their effects on the psychological state of patients
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Volume 13
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