Incidence of, Risk Factors for, and Changes Over Time in Treatment-Resistant Depression in Denmark

2018 ◽  
Vol 79 (4) ◽  
Author(s):  
Frederikke Hordam Gronemann ◽  
Martin B. Jorgensen ◽  
Merete Nordentoft ◽  
Per K. Andersen ◽  
Merete Osler
2020 ◽  
Vol 261 ◽  
pp. 221-229 ◽  
Author(s):  
Frederikke Hordam Gronemann ◽  
Martin Balslev Jorgensen ◽  
Merete Nordentoft ◽  
Per Kragh Andersen ◽  
Merete Osler

2017 ◽  
Vol 2 (3) ◽  
pp. 020338
Author(s):  
Olena Khaustova

Background Therapy of resistant depression raises a number of diagnostic and therapeutic problems, requires the solution of a number of methodological issues. A scientific discussion continues around the definition of depression resistance, assessment of the degree of reduction of depressive symptoms, the level of social and role functioning of patients; the improvement of models for determining the degree of resistance to various types of depression therapy continues; new methods of therapy and new algorithms of combined therapy are being developed. The ultimate goal of all these efforts should be practical recommendations for determining therapeutic options for the treatment of patients with resistant depression, which will help doctors make informed decisions on intervention strategies. Aim To analyze the therapeutic possibilities of treating depressive disorders that are resistant to therapy. Methods Publications from the Pubmed, MEDLINE, the Cochrane Library, Web of Science, Google Scholar databases were analyzed. Tags: depression, treatment, resistance, psevdoresistence, therapeutic response, resistance to treatment, strategies for treatment of resistant depression. Results The terminology related to resistant depression was defined: lack of a therapeutic response, adequate dose, adequate duration of treatment, antidepressant intolerance, pseudo-resistance, relative resistance to treatment, absolute resistance to treatment, treatment of resistant depression, remission, recovery. Models for determining the resistance of depression have been described: the Thase & Rush model; European stepped model; A step model of the Massachusetts hospital; Step model of Maudsley; Form of the history of treatment with antidepressants. Risk factors for treatment of resistant depression were identified, and the main therapeutic strategies were described: optimization, switching, augmentation, combination and non-drug therapy. Particular attention is paid to the use of atypical antipsychotics, in particular arapiprazole, as the augmentation strategy. A complex approach is described, which includes various combinations of the above strategies. Conclusion Each case of treatment-resistant depression has its own unique characteristics and requires careful evaluation to determine the correct diagnosis and the quality of the therapeutic response. Equally important for building an adequate treatment plan is evaluating risk factors for the treatment of resistant depression. There is a wide variety of options for the treatment of resistant depression, so each therapeutic strategy should be used to help patients with treatment-resistant depression. The combination of antidepressant therapy and atypical antipsychotics with antidepressant properties in combination with psychotherapeutic intervention and adherence to adequate doses and duration of treatment may be a choice strategy for patients with treatment-resistant depression.


2020 ◽  
Vol Volume 16 ◽  
pp. 2539-2551 ◽  
Author(s):  
Joanna Szarmach ◽  
Wiesław Jerzy Cubała ◽  
Adam Włodarczyk ◽  
Maria Gałuszko-Węgielnik

2019 ◽  
Vol 29 ◽  
pp. S934-S935
Author(s):  
Alessandro Serretti ◽  
Chiara Fabbri ◽  
Diego Albani ◽  
Siegfried Kasper ◽  
Joseph Zohar ◽  
...  

2021 ◽  
Vol 46 (4) ◽  
pp. E490-E499
Author(s):  
Rajamannar Ramasubbu ◽  
Laina McAusland ◽  
Sanchit Chopra ◽  
Darren L. Clark ◽  
Bettina H. Bewernick ◽  
...  

Background: Deep brain stimulation (DBS) is a promising investigational approach for treatment-resistant depression. However, reports suggesting changes in personality with DBS for movement disorders have raised clinical and ethical concerns. We prospectively examined changes in personality dimensions and antidepressant response to subcallosal cingulate (SCC)-DBS for treatment-resistant depression. Methods: Twenty-two patients with treatment-resistant depression underwent SCC-DBS. We used the NEO Five-Factor Inventory for personality assessment at baseline and every 3 months until 15 months post-DBS. We assessed depression severity monthly using the Hamilton Depression Rating Scale. Results: We found a significant decrease in neuroticism (p = 0.002) and an increase in extraversion (p = 0.001) over time, showing a change toward normative data. Improvement on the Hamilton Depression Rating Scale was correlated with decreases in neuroticism at 6 months (p = 0.001) and 12 months (p < 0.001), and with an increase in extraversion at 12 months (p = 0.01). Changes on the Hamilton Depression Rating Scale over time had a significant covariate effect on neuroticism (p < 0.001) and extraversion (p = 0.001). Baseline openness and agreeableness predicted response to DBS at 6 (p = 0.006) and 12 months (p = 0.004), respectively. Limitations: Limitations included a small sample size, a lack of sham control and the use of subjective personality evaluation. Conclusion: We observed positive personality changes following SCC-DBS, with reduced neuroticism and increased extraversion related to clinical improvement in depression, suggesting a state effect. As well, pretreatment levels of openness and agreeableness may have predicted subsequent response to DBS. The NEO Five-Factor Inventory assessment may have a role in clinical decision-making and prognostic evaluation in patients with treatment-resistant depression who undergo SCC-DBS.


2019 ◽  
Vol 85 (10) ◽  
pp. S342
Author(s):  
Suhayl Nasr ◽  
Anand Popli ◽  
Burdette Wendt

PLoS ONE ◽  
2013 ◽  
Vol 8 (5) ◽  
pp. e63756 ◽  
Author(s):  
Michio Takahashi ◽  
Yukihiko Shirayama ◽  
Katsumasa Muneoka ◽  
Masatoshi Suzuki ◽  
Koichi Sato ◽  
...  

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