Research on the prediction model of agitated symptoms in adolescents with depressive disorders
10.19405/j.cnki.issn1000-1492.2025.04.023
- Author:
Xin Zhao
1
;
Lewei Liu
1
;
Mingru Hao
1
;
Haojie Fan
1
;
Lei Xia
2
;
Feng Geng
3
;
Daming Mo
4
;
Huanzhong Liu
5
Author Information
1. School of Mental Health and Psychological Sciences，Anhui Medical University，Hefei 230032; Dept of Psychiatry，Chaohu Hospital of Anhui Medical University，Hefei 238000; Anhui Mental Health Center， Hefei 238000
2. Dept of Psychiatry，Chaohu Hospital of Anhui Medical University，Hefei 238000; Anhui Mental Health Center， Hefei 238000
3. Dept of Psychology and Sleep Medicine，The Second Affiliated Hospital of Anhui Medical University， Hefei 230601
4. Dept of Child and Adolescent Psychology，Hefei Fourth People 's Hospital，Hefei 230000;
5. Dept of Psychiatry，Chaohu Hospital of Anhui Medical University，Hefei 238000; Anhui Mental Health Center， Hefei 238000; Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization，Hefei 230000
- Publication Type:Journal Article
- Keywords:
depressive disorders;
agitation;
BDNF;
thyroid-stimulating hormone;
adolescents;
family relations
- From:
Acta Universitatis Medicinalis Anhui
2025;60(4):741-747, 754
- CountryChina
- Language:Chinese
-
Abstract:
Objective : To explore the predictive value of depression severity plasma thyroid-stimulating hormone(TSH) and brain-derived neurotrophic factor(BDNF) levels for agitated symptoms in patients with adolescent depressive disorder(MDD).
Methods :Ninety-one patients with adolescent depressive disorder were enrolled, and the degree of agitation was assessed according to the modified outward aggressive behavior scale(MOAS); 24-item hamilton depression scale(HAMD24) was used to determine the severity of depression; chemiluminescence immunoassay(CLIA) was used to determine the plasma thyroid-stimulating hormone(TSH) level; and electrochemiluminescence immunoassay(ECL) was used to determine the plasma BDNF. SPSS 26.0 was used for statistical analysis of the data, Spearman correlation analysis was used to analyze the relationship between HAMD24and plasma TSH and BDNF levels and the degree of agitation, multiple linear regression analysis was used to analyze the factors influencing the degree of agitation in adolescents with MDD, and binary Logistic regression analysis and subjects′ work characteristic curves(ROC) were used to establish predictive models.
Results:The degree of agitation in adolescent MDD patients was positively correlated with HAMD24total score(P<0.001); both HAMD24total score and plasma BDNF level were identified as risk factors for agitation severity(bothP<0.05); both HAMD24total score and plasma BDNF levels were risk factors for the degree of agitation(allP<0.05); HAMD24total score, plasma TSH, BDNF levels were all risk factors for concomitant agitation symptoms in adolescent MDD patients; ROC curve analysis showed that the three combined prediction models(AUC=0.889,P<0.001) had a higher predictive value than the single prediction model(P<0.01).
Conclusion :Concomitant agitation symptoms in adolescents with MDD are strongly associated with HAMD24total score and plasma TSH and BDNF levels, and the three combined models have good predictive power.
- Full text:2026020417081915319青少年抑郁障碍伴发激越症状的预测模型研究_赵鑫.pdf
