Hostname: page-component-8448b6f56d-xtgtn Total loading time: 0 Render date: 2024-04-19T12:27:38.945Z Has data issue: false hasContentIssue false

Treatment-resistant depression: a challenge for future research

Published online by Cambridge University Press:  08 May 2014

Siegfried Kasper*
Affiliation:
Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria E-mail: sci-biolpsy@meduniwien.ac.at
Rights & Permissions [Opens in a new window]

Abstract

Type
Editorial
Copyright
Copyright © Scandinavian College of Neuropsychopharmacology 2014 

The term treatment-resistant depression (TRD) was introduced in 1974 and since then it has been a topic for different publications and research strategies (Reference Fawcett and Kravitz1,Reference Schosser, Serretti and Souery2). Unfortunately, different definitions of TRD are used. On the basis of the literature available, it is evident that the following four categories need to be distinguished (Table 1).

Table 1 Definitions of treatment response

These definitions have practical as well as research implications, because quite often inadequate response, non-response treatment, treatment refractory and chronic depression are mixed up; moreover, needless to say, different results can be expected when these patients are summarised as a group. The Sequenced Treatment Alternatives to Relieve Depression Study might be one of these examples, as the patients included in this trial have had a mean of over 100 weeks of depression and therefore can be regarded as chronically depressive. This explains the low response rate in this trial that cannot be projected to the whole population of depression.

Interestingly, there is as yet no treatment indication for non-response to treatment; however, health regulatory authorities in Europe (EMA) and in the United States (FDA) granted indication for inadequate response to quetiapine in Europe, and quetiapine, olanzapine and aripiprazole in the United States. The difference between the two health regulatory authorities is that the EMA also requires long-term studies, which were not available for apiprazole and olanzapine and only for quetiapine. Nevertheless, clinicians use atypical antipsychotics for non-response to treatment, treatment refractory and chronic depression as recently depicted in the publication by Konstantinidis et al. (2013) (3) in Austria, Germany and Switzerland.

The European Group of the Study of Treatment-Resistant Depression (GSRD) has initiated and coordinated collaborative research programmes on TRD, in which several European centres have been involved at different stages from the following countries (Reference Schosser, Serretti and Souery2,Reference Souery, Oswald and Massat4): Austria, Belgium, France, Greece, Israel and Italy.

In a recent review, the GSRD Group published the clinical and genetic findings (Reference Schosser, Serretti and Souery2). It was evident that the clinical characteristics outweighed, so far, the genetic variables in the sense that treatment resistance (defined as insufficient response to two adequate therapies) was significantly apparent in more patients and who were comorbid with anxiety disorders (4). The statistically significant differences can be depicted from Table 2.

Table 2 Prediction of treatment resistance in unipolar and bipolar depression calculated by logistic regression analysis on data published by Souery et al. and Mendlewicz et al. (Reference Konstantinidis, Papageorgiou and Grohmann4,Reference Souery, Oswald and Massat5)

TRD, treatment-resistant depression; TRBD, treatment-resistant bipolar depression.

Furthermore, this group obtained evidence in retrospective and prospective evaluation that switching the mechanism of action does not benefit the patient (6), a finding that is supported by a meta-analysis by Papakostas et al. (7) For clinical practice, it is apparent that augmentation with another agent, for instance, atypical antipsychotics, lithium or T3, or the combination with another antidepressant (e.g. mirtazapine or trazodone) might provide a better option (8) (Table 3).

Table 3 Treatment options for therapy-resistant depression

With regard to the candidate gene studies, it was evident that the metabolism status, according to the cytrochrome P450 gene polymorphism, may not be helpful to predict response and remission rates to antidepressants (9). However, a significant association with major depression and antidepressant treatment response was found in this cohort for COMT single nucleotide polymorphisms (10,11). Specifically, the impact of COMT on suicidal behaviour was interesting as it depicted a significant association with suicide risk in major depressive disorder patients not responding to antidepressant treatment (12). Other significant associations with treatment response phenotypes were found for BDNF, 5HTR2A and CREP1.

As depicted in Table 2, a stepwise approach for treatment of depression can be recommended (8) that encompasses, first, optimising treatment, second, add-on treatment, and third, switching classes, specifically if side effects are evident or if there is no effect at all. The question as to which add-on medication should be used is dependent on a stratified approach, and it is apparent that these data are available for the addition of atypical antipsychotics within the group of antidepressants as add-on treatment of mirtazapine to selective serotonin reuptake inhibitors (followed by lithium and then T3). The question of non-pharmacological treatment such as psychotherapy or biologically founded non-psychiatric treatment (e.g. sleep deprivation, light therapy or electroconvulsive treatment) can be added at any stage based on the specific needs of the patient.

Although the genetic characterisation of the phenotype of TRD until now explains only 2–5% of the variance (13), and is therefore not helpful for clinical practice and outweighed by the clinical evidence of comorbidity of depression and anxiety disorders in unipolar as well as bipolar disorder, it is necessary to study the characterisation of the genetic subphenotype of TRD to provide further insights into the disease process. A more refined methodology such as the new generation exome and full genome-sequencing and genome-wide pathway analysis promises to be helpful for prediction and prevention of depression together with other psychiatric diseases and to identify molecular targets for new generations of psychotropic medication (14).

Acknowledgements

Dr. Kasper has received grant/research support from Bristol Myers-Squibb, Eli Lilly, GlaxoSmithKline, Lundbeck, Organon, Pfizer, Sepracor and Servier; he has served as a consultant or on advisory boards for AstraZeneca, Bristol-Myers Squibb, Eli Lilly, GlaxoSmithKline, Janssen, Lundbeck, Merck Sharp and Dome (MSD), Novartis, Organon, Pfizer, Schwabe, Sepracor and Servier; and he has served on speakers’ bureaus for Angelini, AOP-Pharma, AstraZeneca, Bristol Myers-Squibb, Eli Lilly, Janssen, Lundbeck, Neuraxpharm, Pfizer, Pierre Fabre, Schwabe, Sepracor and Servier, Wyeth.

References

1.Fawcett, J, Kravitz, HM. Treatment refractory depression. In: Schatzberg AF, editor. Common treatment problems in depression. Washington, DC: American Psychiatric Press, 1985, 127.Google Scholar
2.Schosser, A, Serretti, A, Souery, Det al. European Group for the Study of Resistant Depression (GSRD) – where have we gone so far: review of clinical and genetic findings. Eur Neuropsychopharmcol 2012a; 22:453468.CrossRefGoogle Scholar
3.Konstantinidis, A, Papageorgiou, K, Grohmann, Ret al. Increase of antipsychotic medication in depressive inpatients from 2000 to 2007: Results from the AMSP International Pharmacovigilance Program. Int J Neuropsychopharmacol 2012;15:449457.CrossRefGoogle ScholarPubMed
4.Souery, D, Oswald, P, Massat, Iet al. Clinical factors associated with treatment resistance in major depression: results from a European multicenter study. J Clin Psychiatry 2007;68:10621070.Google Scholar
5.Mendlewicz, J, Massat, I, Linotte, Set al. Identification of clinical factors associated with resistance to antidepressants in bipolar depression. Results from a European multicentre study. Int Clin Psychopharmacol 2010;25:297301.CrossRefGoogle ScholarPubMed
6.Souery, D, Serretti, A, Calati, Aet al. Citalopram versus desipramine in treatment resistant depression: effect of continuation or switching strategies: a randomized open study. World J Biol Psychiatry 2011;12:364375.CrossRefGoogle ScholarPubMed
7.Papakostas, GI, Fava, M, Thase, ME. Treatment of SSRI-resistant depression: a meta-analysis comparing within- versus across-class switches. Biol Psychiatry 2008;63:699704.CrossRefGoogle ScholarPubMed
8.Kasper, S, Montgomery, S. Treatment-resistant depression. Chichester: Wiley-Blackwell, 2013.CrossRefGoogle Scholar
9.Serretti, A, Calati, R, Massat, Iet al. Cytochrome P450 CYP1A2, CYP2C9, CYP2C19 and CYP2D6 genes are not associated with response and remission in a sample of depressive patients. Int Clin Psychopharmacol 2009;24:250256.Google Scholar
10.Kocabas, NA, Faghel, C, Barreto, Met al. The impact of catechol-O-methyltransferase SNPs and haplotypes on treatment response phenotypes in major depressive disorder: a case-control association study. Int Clin Psychopharmacol 2010;25:218227.Google Scholar
11.Massat, I, Kocabas, NA, Crisafulli, Cet al. COMT and age at onset in mood disorders: a replication and extension study. Neurosci Lett 2011;498:218221.Google Scholar
12.Schosser, A, Calati, R, Serretti, Aet al. The impact of COMT gene polymorphisms on suicidality in treatment resistant major depressive disorder – A European multicenter study. Eur Neuropsychopharmacol 2012b;22:259266.Google Scholar
13.Schosser, A, Kasper, S. The role of pharmacogenetics in the treatment of depression and anxiety disorders. Int Clin Psychopharmacol 2009;24:277288.Google Scholar
14.Serretti, A, Fabbri, C. Shared genetics among major psychiatric disorders. Lancet 2013;381:13391341.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Definitions of treatment response

Figure 1

Table 2 Prediction of treatment resistance in unipolar and bipolar depression calculated by logistic regression analysis on data published by Souery et al. and Mendlewicz et al. (4,5)

Figure 2

Table 3 Treatment options for therapy-resistant depression