Depression and anxiety in the elderly patients with type 2 diabetes mellitus was associated with cerebral small vessel disease
10.3760/cma.j.issn.0254-9026.2024.08.008
- VernacularTitle:老年2型糖尿病患者抑郁和焦虑与脑小血管病相关性分析
- Author:
Xinwei HUANG
1
;
Yihuan HUANG
;
Yinqiong HUANG
;
Huasong LIN
;
Chi CAI
;
Ke LI
;
Hui LU
;
Xiaohong WU
;
Xiahong LIN
Author Information
1. 中山大学附属第七医院内分泌科，深圳 518000
- Keywords:
Diabetes;
Depression;
Anxiety;
Diabetic Angiopathies;
Cerebral small vessel disease
- From:
Chinese Journal of Geriatrics
2024;43(8):1000-1006
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explored the correlation between anxiety and depression and cerebral small vessel disease(CSVD)in the elderly patients with type 2 diabetes mellitus(T2DM), and analyzed the influencing factors of anxiety and depression.Methods:Clinical data of 101 elderly T2DM inpatients admitted to the Department of Endocrinology, the Second Affiliated Hospital of Fujian Medical University from July 2020 to December 2021 were retrospectively analyzed, and clinical features, laboratory tests and examination data were collected.The Hamilton Depression Scale and the Hamilton Anxiety Scale were used for assessment, with a cut-off value of 14 points for anxiety and 8 points for depression.Brain scans were performed using 3.0T magnetic resonance scanner, including T1WI sequence, T2WI sequence, 3D-FLAIR sequence, SWI sequence.According to the total MRI load scoring standard of CSVD proposed by Staals, MRI imaging changes of CSVD, namely lacunar foci(LIs), cerebral microhemorrhage(CMBs), perivascular space(PVSs), and white matter high signal(WMHs), were analyzed and scored respectively.Load score ≥1 was defined as CSVD group.According to the above criteria, the enrolled patients were divided into depression group and anxiety group, and the clinical characteristics, biochemical test data and MRI imaging characteristics of CSVD between the two groups were analyzed by single factor analysis, and then Spearman correlation analysis was used to analyze the related factors of the elderly T2DM with anxiety and depression.Binary logistic analysis was used to analyze the risk factors of depression and anxiety in the elderly patients with T2DM.Results:Compared with the non-depressed group, the elderly T2DM patients with depression were older, more female, and the incidence of WMHs and DWMHs was higher( P<0.05).Compared with the non-anxious group, the incidence of WMHs and DWMHs in the elderly T2DM patients with anxiety group was higher( P<0.05).Spearman correlation analysis showed that age( r=0.224, P=0.024), WMHs( r=0.231, P=0.020), PWMHs( r=0.201, P=0.044), DWMHs( r=0.274, P=0.006)was positively correlated with depression in the elderly T2DM, while gender( r=-0.225, P=0.024)、ALT( r=-0.208, P=0.037)、AST( r=-0.204, P=0.041)was negatively correlated with depression in the elderly T2DM.WMHs( r=0.213, P=0.033)and DWMHs( r=0.270, P=0.006)were positively correlated with anxiety in the elderly T2DM.Binary logistic regression analysis showed that gender( OR=0.359, 95% CI: 0.130-0.990, P=0.048), DWMHs(OR=4.373, 95% CI: 1.290-14.828, P=0.018)were the influencing factors for the elderly T2DM patients with depression, and DWMHs( OR=5.000, 95% CI: 1.444-17.317, P=0.011)was the influencing factors for the elderly T2DM patients with anxiety. Conclusions:DWMHs is closely related to the onset of depression and anxiety in the elderly T2DM patients, suggesting that CSVD may be involved in the development of depression and anxiety in the elderly T2DM patients.
