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Understanding antidepressant change patterns in the UK Biobank
Danyang Li1, Chris Wai Hang Lo1, Cathryn M Lewis1,2,3
1Social, Genetic and Developmental Psychiatry Centre, https://ror.org/0220mzb33King's College London, London, UK.
Summary
This study analyzed antidepressant prescribing patterns in over 82,000 individuals, revealing differences between depression and non-depression indications. Clinical and genetic factors significantly influence antidepressant treatment outcomes and changes.
Area of Science:
- Psychiatry and Medical Informatics
- Pharmacogenomics
- Clinical Epidemiology
Background:
- Antidepressants are widely prescribed, making prescribing patterns crucial for understanding treatment.
- Large-scale medical records offer insights into factors influencing antidepressant efficacy and patient outcomes.
Purpose of the Study:
- To analyze antidepressant prescription and change patterns in patients with and without depression.
- To identify clinical and genetic factors associated with antidepressant treatment outcomes.
Main Methods:
- Utilized UK Biobank primary care records for 82,633 individuals prescribed antidepressants.
- Examined antidepressant changes, discontinuation reasons, and performed genetic analyses (heritability, genetic correlation, polygenic scores).
Main Results:
- Identified distinct prescribing patterns for depression versus non-depression indications.
- Found associations between antidepressant changes/discontinuation and various psychiatric/somatic conditions.
- Discovered novel genetic variants linked to selective serotonin reuptake inhibitor discontinuation and genetic overlap with psychiatric traits.
Conclusions:
- Characterized antidepressant change patterns in primary care.
- Emphasized the value of integrating clinical and genetic data for improved understanding of antidepressant treatment outcomes.
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