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Managing inadequate antidepressant response in depressive illness
Peter M Haddad1, Peter S Talbot2, Ian M Anderson3
1Neuroscience and Psychiatry Unit, University of Manchester, Stopford Building, Oxford Rd, Manchester M13 9PT, UK Greater Manchester West Mental Health NHS Foundation Trust, Cromwell House, Eccles, Salford M30 0GT, UK peter.haddad@manchester.ac.uk.
For treatment-resistant depression, sequential trials guided by patient-clinician decisions are key. Evidence supports lithium or antipsychotic augmentation and cognitive behavioral therapy, while other methods show mixed results.
Area of Science:
- Neuroscience
- Psychiatry
- Clinical Psychology
Background:
- Depression often shows poor response to initial treatments, necessitating further therapeutic strategies.
- Identifying and addressing remedial causes of treatment resistance is crucial for effective management.
Purpose of the Study:
- To systematically assess and outline sequential treatment strategies for depression that does not respond to initial therapies.
- To provide evidence-based recommendations for managing treatment-resistant depression.
Main Methods:
- Primarily based on meta-analyses and randomized controlled trials (RCTs).
- Supplemented with additional relevant data and expert clinical experience.
- Systematic assessment to identify causes of poor treatment response.
Main Results:
- Strongest evidence supports antidepressant augmentation with lithium or second-generation antipsychotics, and adding cognitive behavioral therapy.
- Electroconvulsive therapy is effective for resistant depression but associated with high relapse rates.
- Some strategies like antidepressant combinations or ketamine have inconsistent or limited data; efficacy of neuromodulation techniques is unclear.
Conclusions:
- Planned, sequential treatment trials guided by joint patient-clinician decisions are essential for treatment-resistant depression.
- Further research into glutamate antagonists and non-cognitive behavioral psychological treatments is warranted.
- A deeper understanding of depression's underlying mechanisms may lead to more effective future treatments.
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