Amygdala connectivity mediates the association between anxiety and depression in patients with major depressive disorder

2018 ◽  
Vol 13 (4) ◽  
pp. 1146-1159 ◽  
Author(s):  
Cancan He ◽  
Liang Gong ◽  
Yingying Yin ◽  
Yonggui Yuan ◽  
Haisan Zhang ◽  
...  
2019 ◽  
Vol 27 (4) ◽  
pp. 381-390 ◽  
Author(s):  
Mechthild Westhoff-Bleck ◽  
Lotta Winter ◽  
Lukas Aguirre Davila ◽  
Christoph Herrmann-Lingen ◽  
Jens Treptau ◽  
...  

Objective The purpose of this study was the diagnostic evaluation of the hospital anxiety and depression scale total score, its depression subscale and the Beck depression inventory II in adults with congenital heart disease. Methods This cross-sectional study evaluated 206 patients with congenital heart disease (mean age 35.3 ± 11.7 years; 58.3% men). Major depressive disorder was diagnosed by a structured clinical interview for the Diagnostic and Statistical Manual of Mental Disorders IV and disease severity with the Montgomery–Åsberg depression rating scale. Receiver operating characteristics provided assessment of diagnostic accuracy. Youden’s J statistic identified optimal cut-off points. Results Fifty-three participants (25.7%) presented with major depressive disorder. Of these, 28 (52.8%) had mild and 25 (47.2%) had moderate to severe symptoms. In the total cohort, the optimal cut-off of values was >11 in the Beck depression inventory II, >11 in the hospital anxiety and depression scale and >5 in the depression subscale. Optimal cut-off points for moderate to severe major depressive disorder were similar. The cut-offs for mild major depressive disorder were lower (Beck depression inventory II >4; hospital anxiety and depression scale >8; >2 in its depression subscale). In the total cohort the calculated area under the curve varied between 0.906 (hospital anxiety and depression scale) and 0.93 (Beck depression inventory II). Detection of moderate to severe major depressive disorder (area under the curve 0.965–0.98) was excellent; detection of mild major depressive disorder (area under the curve 0.851–0.885) was limited. Patients with major depressive disorder had a significantly lower quality of life, even when they had mild symptoms. Conclusion All scales were excellent for detecting moderate to severe major depressive disorder. Classification of mild major depressive disorder, representing 50% of cases, was limited. Therapy necessitating loss of quality of life is already present in major depressive disorder with mild symptoms. Established cut-off points may still be too high to identify patients with major depressive disorder requiring therapy. External validation is needed to confirm our data.


2019 ◽  
Vol 9 (2) ◽  
pp. 31 ◽  
Author(s):  
Harry Jhawer ◽  
Meesha Sidhu ◽  
Rikinkumar Patel

Catatonia is often a presentation of extreme anxiety and depression. Missing the diagnosis of catatonia would lead to improper treatment, which could be life-threatening. A thorough physical and psychiatric assessment is required for detecting the catatonic symptoms, especially, mutism and negativism in patients with depression. We discuss the case of a 58-year-old female that was incorrectly diagnosed and treated for major depressive disorder (MDD). The patient was then correctly diagnosed with MDD with catatonic features and improved once benzodiazepine (BZD) was started. The preferred BZD was lorazepam, with a success rate of complete remission of up to 80% in adults. Treatment was started with lorazepam 1–2 mg and improvement was seen within the first ten minutes. We believed the addition of BZD in a psychotropic regimen could improve both catatonia and depression, and should be continued for 3–6 months to prevent relapses and recurrences.


2021 ◽  
Vol 28 (1) ◽  
Author(s):  
Safaa Askar ◽  
Mohamed Amin Sakr ◽  
Waleed Hamed Abd Alaty ◽  
Ola M. Aufa ◽  
Shimaa Y. Kamel ◽  
...  

Abstract Background Patients suffering from inflammatory bowel disease (IBD) are not systematically screened against depression as well as anxiety, although there are high prevalence and adverse influence on the quality of life. The aim of this work was to determine generalized anxiety disorder and major depressive disorder prevalence in patients with IBD, and the secondary objective was to identify patient properties linked to higher psychiatric disorder rates. Results We determined anxiety and depression prevalence in 105 IBD patients (82 having ulcerative colitis and 23 suffering from Crohn’s disease) through a psychiatric interview using the Arabic version of Structured Clinical Interview for DSM IV Axis I diagnosis (SCID I), in addition to severity assessment of major depressive disorder and generalized anxiety disorder using the Hamilton Depression Scale (HAM-D) and the Hamilton Anxiety Scale (HAM-A), respectively. Patient data, disease characteristics, and drug information were also gathered. We found a high depression prevalence of 56.2% (n = 59), followed by 37.1% (n = 39), with no significant association between IBD severity and anxiety and depression severity. Conclusion Depression and/or anxiety affected a large number of IBD patients. Such psychiatric disorders’ frequency would warrant detection as well as referral to psychiatric treatment.


2020 ◽  
pp. 1-5
Author(s):  
Oscar Rodríguez-Mayoral ◽  
Adriana Peña-Nieves ◽  
Silvia Allende-Pérez ◽  
Mari Lloyd-Williams

Abstract Objective This study sought to compare the Hospital Anxiety and Depression Subscale (HADS-D) and Brief Edinburgh Depression Scale (BEDS) as case-finding tools of major depressive disorder in patients with advanced cancer in a palliative care service. Methods An observational study was performed which included patients with advanced cancer who attended the palliative care service at the National Institute of Cancer in Mexico. Patients were asked to fill out the Hospital Anxiety and Depression Scale (HADS) and BEDS and were then assessed by a psychiatrist to evaluate major depressive disorder (MDD) as per the DSM-5 criteria. The case-finding capability of each scale was determined using receiver operating characteristic curves, assessing the area under the curve (AUC) in comparison to the clinical diagnosis. Results Eighty-nine patients were included; median age was 57 years, and 71% were female. Among these, 19 patients were diagnosed with MDD during the interview. When comparing the self-reported scales, BEDS had a better performance compared with HADS-D (AUC 0.8541 vs. 0.7665). Limitations include a heterogeneous population and a limited sample size. Significance of results The BEDS outperformed the HADS-D tool in discriminating patients with and without depression. A BEDS cutoff value of ≥5 is suggested as a case-finding score for depression in this population.


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