Results of the European Group for the Study of Resistant Depression (GSRD) - basis for further research and clinical practice.
Lucie BartovaMarkus DoldAlexander KautzkyChiara FabbriMarie SpiesAlessandro SerrettiDaniel SoueryJulien MendlewiczJoseph ZoharStuart MontgomeryAlexandra SchosserSiegfried KasperPublished in: The world journal of biological psychiatry : the official journal of the World Federation of Societies of Biological Psychiatry (2019)
Objectives: The overview outlines two decades of research from the European Group for the Study of Resistant Depression (GSRD) that fundamentally impacted evidence-based algorithms for diagnostics and psychopharmacotherapy of treatment-resistant depression (TRD). Methods: The GSRD staging model characterising response, non-response and resistance to antidepressant (AD) treatment was applied to 2762 patients in eight European countries. Results: In case of non-response, dose escalation and switching between different AD classes did not show superiority over continuation of original AD treatment. Predictors for TRD were symptom severity, duration of the current major depressive episode (MDE), suicidality, psychotic and melancholic features, comorbid anxiety and personality disorders, add-on treatment, non-response to the first AD, adverse effects, high occupational level, recurrent disease course, previous hospitalisations, positive family history of MDD, early age of onset and novel associations of single nucleoid polymorphisms (SNPs) within the PPP3CC, ST8SIA2, CHL1, GAP43 and ITGB3 genes and gene pathways associated with neuroplasticity, intracellular signalling and chromatin silencing. A prediction model reaching accuracy of above 0.7 highlighted symptom severity, suicidality, comorbid anxiety and lifetime MDEs as the most informative predictors for TRD. Applying machine-learning algorithms, a signature of three SNPs of the BDNF, PPP3CC and HTR2A genes and lacking melancholia predicted treatment response. Conclusions: The GSRD findings offer a unique and balanced perspective on TRD representing foundation for further research elaborating on specific clinical and genetic hypotheses and treatment strategies within appropriate study-designs, especially interaction-based models and randomized controlled trials.
Keyphrases
- machine learning
- genome wide
- sleep quality
- depressive symptoms
- randomized controlled trial
- end stage renal disease
- clinical practice
- major depressive disorder
- deep learning
- gene expression
- chronic kidney disease
- dna methylation
- dna damage
- clinical trial
- newly diagnosed
- lymph node
- transcription factor
- stress induced
- replacement therapy