- Research article
- Open Access
- Open Peer Review
Treatment patterns in major depressive disorder after an inadequate response to first-line antidepressant treatment
© Garcia-Toro et al.; licensee BioMed Central Ltd. 2012
- Received: 30 April 2012
- Accepted: 13 September 2012
- Published: 18 September 2012
The aim of the study was to determine the most common pharmacological strategies used in the management of major depressive disorder (MDD) after an inadequate response to first-line antidepressant treatment in clinical practice.
Multicenter, non-interventional study in adult outpatients with a DSM-IV-TR diagnosis of MDD and inadequate response to first-line antidepressant medication. Multiple logistic regression analyses were performed to identify independent factors associated with the adoption of a specific second-line strategy.
A total of 273 patients were analyzed (mean age: 46.8 years, 67.8% female). Baseline mean Montgomery-Asberg Depression Rating Scale total score was 32.1 (95%CI 31.2-32.9). The most common strategies were: switching antidepressant medication (39.6%), augmentation (18.8%), and combination therapy (17.9%). Atypical antipsychotic drugs were the most commonly used agent for augmenting antidepressant effect. The presence of psychotic symptoms and the number of previous major depressive episodes were associated with the adoption of augmenting strategy (OR = 3.2 and 1.2, respectively).
The switch to another antidepressant agent was the most common second-line therapeutic approach. Psychiatrists chose augmentation based on a worse patients’ clinical profile (number of previous episodes and presence of psychotic symptoms).
- Major depressive disorder
- Antidepressant treatment
Major depression is one of the most prevalent mental disorders in Europe, with an estimated prevalence of 6.9% . According to some projections, major depressive disorder (MDD) will be one of the three leading causes of burden of disease in 2030 .
Despite the introduction of newer-generation antidepressants, approximately 50% of patients experience non-response to treatment with a first-line antidepressant [3, 4]. The presence of residual symptoms has been associated with a higher risk of recurrence, more chronic depressive episodes, a shorter duration between episodes, and a worse functioning [5–7]. In addition, not achieving symptomatic remission increases the economic burden of this mental disorder which is mainly explained by loss of productivity due to disability and absenteeism and to the use of healthcare resources such as medical visits and pharmacological therapies [8–11].
Current guidelines recommend four pharmacological strategies for the management of partial response or non-response of MDD: increasing the dose of the antidepressant, switching to a different antidepressant, augmenting the treatment regimen with a non-antidepressant agent such as lithium, atypical antipsychotic drugs or thyroid hormones, or combining the initial antidepressant with a second antidepressant . However, the evidence to give clear recommendations regarding the optimal stepwise pharmacological approach after inadequate response to first-line antidepressant treatment remains limited [4, 13–15]. Several factors should be considered when choosing between strategies, including the potential loss of partial benefit from the first-line AD and/or the risk of withdrawal symptoms when switching agents, the risk of drug interactions, tolerability and adherence issues with combination and augmentation strategies .
In part due to the lack of clear recommendations, there is considerable heterogeneity in real clinical practice in terms of how and when to adopt a new pharmacological approach in those patients who have not responded adequately to first-line treatment. Moreover, little is known regarding factors influencing physician choice among the four proposed strategies.
The primary aim of the study was to determine the most common pharmacological strategies for MDD patients after initial antidepressant treatment failure in clinical practice. In addition, we explored the relationship between sociodemographic and clinical characteristics and the likelihood of a switching, augmentation or combination strategy being adopted by the psychiatrist.
This was a 6 months, non-interventional study conducted in 60 community mental health centres throughout Spain. The study was approved by the institutional review board of the Fundació Catalana d´Hospitals (Barcelona, Spain; NCT00782964).
Male or female patients aged 18 or above with a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR) diagnosis of major depressive disorder (MDD), single or recurrent episode, were eligible for inclusion. Participants were outpatients meeting the following criteria: a history of inadequate response (partial or non-response) during the current episode to first-line treatment with a selective serotonin reuptake inhibitor (SSRI) or a selective serotonin-norepinephrine reuptake inhibitor (SNRI), which was given for at least 6 weeks at adequate doses according to the label. Exclusion criteria included: duration of current MDD episode > 12 months or < 4 weeks, and clinically significant medical illness. Written informed consent was obtained once the study had been fully described to the participants.
Sociodemographic and clinical data, as well as the new pharmacological strategy adopted, were collected from medical records and clinical interviews. The study protocol did not pre-specify any particular therapy. Therefore, the new treatment strategy prescribed was based on the physicians’ criteria only.
Psychometric evaluations included the Montgomery-Asberg Depression Rating Scale (MADRS), the Hamilton Anxiety Rating Scale (HARS), and the Clinical Global Impression - Severity of Illness Scale (CGI-S) [16, 17].
The analysis presented in this article is focused on the baseline visit. Patients were allocated to three groups for analysis according to the new treatment strategy adopted: switching, augmentation or combination. Descriptive statistics were obtained for all variables: mean, standard deviation (SD) and 95% confidence interval (CI) for continuous variables, and frequencies and percentages for categorical variables.
A multinomial logistic regression was used to explore the relationship between sociodemographic and clinical characteristics of the patients and the likelihood of adopting a specific therapeutic strategy. First, demographic and clinical characteristics were tested using univariate multinomial logistic regression. Candidate variables with a p-value ≤ 0.2 in the univariate analyses were included in a backward multivariate multinomial logistic regression procedure to evaluate which were independently associated with the treatment strategy adopted by the psychiatrist after first-line failure. Data analysis was performed using SAS V.8.02 (SAS, Cary, NC, USA).
A total of 336 patients were included in the study. The most commonly used strategy was switching antidepressant medication (N = 133, 39.6%). Meanwhile, 80 (23.8%) patients were allocated to a combination therapy, 60 (17.9%) to an augmentation strategy and 63 (18.8%) to mixed strategies.
Sociodemographic characteristics of the sample
(N = 133)
(N = 80)
(N = 60)
(N = 273)
Age (years), mean (95%CI)
Sex (female), n (%)
Marital status, n (%)
Divorced or separated
Education level, n (%)
No education/ Primary education
Secondary/ University education
Family structure, n (%)
Socioeconomic status, n (%)
Work status, n (%)
Clinical characteristics of the sample
(N = 133)
(N = 80)
(N = 60)
(N = 273)
Number of previous depressive episodes, mean (95%CI)
Previous hospitalization, n (%)
Previous suicide attempt, n (%)
Family history of psychiatric disorders, n (%)
Duration of AD treatment (weeks), mean (95%CI)*
Presence of psychotic symptoms, n (%)
MADRS total score, mean (95%CI)
MADRS Item 10 (suicidality) score, mean (95%CI)
HARS total score, mean (95%CI)
CGI-S score, mean (95%CI)
Patients allocated to an augmentation strategy presented a worse clinical profile than those allocated to switching or combination therapies in terms of proportion of patients with psychotic symptoms, number of previous depressive episodes and hospitalizations, and MADRS item 10 score (Table 2).
Independent factors associated with treatment patterns after an inadequate antidepressant response
Presence of psychotic symptoms
0.08 to 1.48
1.02 to 10.31
Number of major depressive episodes
0.83 to 1.11
1.07 to 1.43
According to prior studies, the choice of initial antidepressant medication may be influenced by patient characteristics such as older age, illness severity, prior suicide attempts, and presence of a comorbid anxiety disorder . The question of how to proceed with the next step after initially unsuccessful AD treatment is crucial. In our study, switching to a different antidepressant drug was the most common strategy used to treat MDD patients with an inadequate response to first-line treatment (39.6%).
The clinicians’ preference for switching to a different antidepressant has previously been described . Currently, there is not enough clinical evidence to make a clear recommendation about the best next-step treatment in non-responders. However, changing to another class of antidepressant is a favoured option, although the change to another SSRI or to a tricyclic agent could also be used [19, 20]. The lower number of drugs involved with switching strategies could avoid potential interactions and assure treatment adherence . Such advantages of switching over the two other strategies may explain its preference among psychiatrists.
Despite the lack of clear evidence-based recommendations, we observed that some clinical characteristics seem to have been considered by psychiatrists when they decided to adopt a new pharmacological approach. Thus, an augmentation strategy seemed to be the preferential therapeutic option for patients with a worse clinical profile. According to the multivariate analysis in our study, patients with more previous depressive episodes and/or psychotic symptoms were more likely to receive augmentation therapy. No randomized controlled trials have directly compared switching and augmentation strategies. The most valuable evidence comes from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial, a four-level study that evaluated different strategies in non-responders . The results of a retrospective analysis comparing switching and augmentation strategies in patients participating in the STAR*D trial has recently been published . Such analysis showed that patients who complete initial treatment of 12 weeks or more and have a partial response with residual mild depressive symptoms may benefit more from augmentation than switching.
The STAR*D trial also showed that patients with longer depressive episodes were less likely to achieve remission . Guidelines drawn up by scientific associations on the management of MDD patients recommend that, when remission is not achieved with an AD after 6 to 8 weeks of treatment at an adequate dose, this should be changed [5, 20, 23]. The timing of adopting a new pharmacological approach in our study was greater than recommended: mean duration of AD treatment at baseline was 12.0 weeks (SD 11.1). The variability observed by psychiatrists in their clinical attitude towards patients with major depression has previously been described at primary care level [24, 25]. A recent publication by Chang et al. found little active management among MDD patients treated in primary care centres in the USA . General practitioners were not more likely to adjust therapy, even when feedback regarding their patients´ symptoms indicated an inadequate response .
Although widely used and usually safe, the efficacy of even the most widely prescribed combinations of antidepressants has not been established by properly controlled clinical trials . Among patients who did not achieve remission with initial citalopram treatment in the STAR*D trial, approximately one-third of patients augmenting treatment and one-quarter of patients switching antidepressant achieved subsequent remission .
Lithium is one of the oldest agents used to improve clinical outcomes in patients with inadequate responses from antidepressant trials . However, in our study only 5 patients received lithium (8.3% among the total of augmentation strategies). The adverse event profile, low serum therapeutic index, and long-term risks of thyroid and renal compromise associated with this drug might explain its poor uptake in our sample . Among the different augmentation strategies, augmentation with atypical antipsychotics has been the most studied approach over recent years. The use of adjunctive atypical antipsychotic drugs is the strategy with the largest evidence for AD non-responders with a pooled remission rate of approximately 47% . However, the potential benefits of these medications must be weighed up against their known acute and long-term risks, such as extrapyramidal symptoms and metabolic side effects . In refractory MDD studies, quetiapine extended release 150 mg/d and 300 mg/d had significantly higher risks for sedation: the numbers needed to treat to harm (NNTH) were 9 and 7, respectively . Aripiprazole adjunctive therapy to antidepressants resulted in a significantly higher risk for akathisia relative to placebo (NNTH of 5, 95%CI 4–7) . In addition, fluoxetine plus olanzapine resulted in significantly greater weight gain and increase in total cholesterol compared with fluoxetine monotherapy .
The present manuscript has several limitations. First, our study analyzed a total of 273 patients and probably this small sample size could have limited the finding of additional associations. Second, we only analyzed outpatients receiving care from psychiatrists. Therefore, our findings may neither generalize to mild depressive patients, mainly managed in a primary care setting, nor the inpatient population. Third, comorbidity, ethnicity, and adverse events associated with the first antidepressant were not assessed, which may also be relevant factors affecting MDD management.
In our study, the switch to another antidepressant was the most common therapeutic approach (39.6%) performed by psychiatrists. The number of previous episodes and the presence of psychotic symptoms were associated with the adoption of augmenting with a non-antidepressant agent.
However, limited evidence is available to guide clinical decision making after initial treatment failure. The identification of factors related to the efficacy of a specific treatment would offer clinicians the opportunity to more adequately select patients who are eligible for such strategy. Further studies are needed to help determine evidence-based options for the management of MDD patients after an inadequate response to first-line antidepressant treatment.
MG-T and JLG conceived the study design. EM and MAG performed the statistical analysis. All authors made meaningful contributions to data inter pretation. MG-T, EM, and JM cowrote the final draft of the manuscript. All authors read and approved the final manuscript.
The authors thank Marta Muñoz-Tudurí (TFS) for her assistance in the preparation of the draft of this manuscript.
- Wittchen HU, Jacobi F, Rehm J, et al: The size and burden of mental disorders and other disorders of the brain in Europe 2010. Eur Neuropsychophamacology. 2011, 21: 655-679. 10.1016/j.euroneuro.2011.07.018.View ArticleGoogle Scholar
- Mathers CD, Loncar D: Projections of global mortality and burden of disease from 2002 to 2030. PLoS Med. 2006, 3: e442-10.1371/journal.pmed.0030442.View ArticlePubMedPubMed CentralGoogle Scholar
- Sinyor M, Schaffer A, Levitt A: The sequenced treatment alternatives to relieve depression (STAR*D) trial: a review. Can J Psychiatry. 2010, 55: 126-135.PubMedGoogle Scholar
- Connolly KR, Thase ME: If at first you don´t succeed. A review of the evidence for antidepressant augmentation, combination and switching strategies. Drugs. 2011, 71: 43-64. 10.2165/11587620-000000000-00000.View ArticlePubMedGoogle Scholar
- Anderson IM, Ferrier IN, Baldwin RC, et al: Evidence-based guidelines for treating depressive disorders with antidepressants: A revision of the 2000 British Association for Psychopharmacology guidelines. J Psychopharmacol. 2008, 22: 343-396. 10.1177/0269881107088441.View ArticlePubMedGoogle Scholar
- Trivedi MH, Corey-Lisle PK, Guo Z, Lennox RD, Pikalov A, Kim E: Remission, response without remission, and nonresponse in major depressive disorder: impact on functioning. Int Clin Psychopharmacol. 2009, 24: 133-138. 10.1097/YIC.0b013e3283277614.View ArticlePubMedGoogle Scholar
- Rizvi AJ, Kennedy SH: The keys to improving depression outcomes. Eur Neuropsychopharmacology. 2011, 21: S694-S702.View ArticleGoogle Scholar
- Sobocki P, Ekman M, Agren H, et al: The mission is remission: health economic consequences of achieving full remission with antidepressant treatment for depression. Int J Clin Pract. 2006, 60: 791-798.View ArticlePubMedGoogle Scholar
- Sicras-Mainar A, Blanca-Tamayo M, Gutiérrez-Nicuesa L, et al: Impact of morbidity, resource use and costs on maintenance of remission of major depression in Spain: a longitudinal study in a population setting. Gac Sanit. 2010, 24: 13-19. 10.1016/j.gaceta.2009.05.012.View ArticlePubMedGoogle Scholar
- Grandes G, Montoya I, Arietaleanizbeaskoa MS, et al: The burden of mental disorders in primary care. Eur Psychiatry. 2011, 26: 428-435.View ArticlePubMedGoogle Scholar
- Salvador-Carulla L, Bendeck M, Fernandez A, et al: Costs of depression in Catalonia (Spain). J Affect Disord. 2011, 132: 130-138. 10.1016/j.jad.2011.02.019.View ArticlePubMedGoogle Scholar
- Papakostas GI: Managing partial response or nonresponse. Switching, augmentation, and combination strategies for major depressive disorder. J Clin Psychiatry. 2009, 6: 16-25.View ArticleGoogle Scholar
- Papakostas GI, Shelton RC, Smith J, Fava M: Augmentation of antidepressants with atypical antipsychotic medications for treatment-resistant major depressive disorder: a meta-analysis. J Clin Psychiatry. 2007, 68: 826-831. 10.4088/JCP.v68n0602.View ArticlePubMedGoogle Scholar
- Thase ME: Antidepressant combinations: widely used, but far from empirically validated. Can J Psychiatry. 2011, 56: 317-323.PubMedGoogle Scholar
- Souery D, Serretti A, Calati R, et al: Switching antidepressant class does not improve response or remission in treatment-resistant depression. J Clin Psychopharmacol. 2011, 31: 512-516. 10.1097/JCP.0b013e3182228619.View ArticlePubMedGoogle Scholar
- Lobo A, Chamorro L, Luque A, Dal-Re R, Badia X, Baro E: Validation of the Spanish versions of the Montgomery-Asberg depression and Hamilton anxiety rating scales. Med Clin (Barc). 2002, 118: 493-499.View ArticleGoogle Scholar
- Guy W: US Department of Health, Education, and Welfare publication (ADM) 76–338. ECDEU Assessment Manual for Psychopharmacology. 1976, Rockville: Md: National Institute of Mental Health, 218-222.Google Scholar
- Kim HM, Zivin K, Ganoczy D, Pfeiffer P, Hoggatt K, McCarthy JF, et al: Predictors of antidepressant initiation among U.S. veterans diagnosed with depression. Phamacoepidemiol Drug Saf. 2010, 19: 1049-1056. 10.1002/pds.1985.View ArticleGoogle Scholar
- Fredman SJ, Fava M, Kienke AS, White CN, Nierenberg AA, Rosenbaum JF: Partial response, nonresponse, and relapse with selective serotonin reuptake inhibitors in major depression: a survey of current "next-step" practices. J Clin Psychiatry. 2000, 61: 403-408. 10.4088/JCP.v61n0602.View ArticlePubMedGoogle Scholar
- Depression: the treatment and management of depression in adults (update, 2009). NICE: National Collaborating Centre for Mental Health commissioned by the National Institute for Health and Clinical Excellence. Available at: http://www.nice.org.uk/CG90
- Rush AJ, Trivedi MH, Wisniewski SR, et al: Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. Am J Psychiatry. 2006, 163: 1905-1917. 10.1176/appi.ajp.163.11.1905.View ArticlePubMedGoogle Scholar
- Gaynes BN, Dusetzina SB, Ellis AR, Hansen RA, Farley JF, Miller WC, et al: Treating depression after initial treatment failure: directly comparing switch and augmenting strategies in STAR*D. J Clin Psychopharmacol. 2012, 32: 114-119. 10.1097/JCP.0b013e31823f705d.View ArticlePubMedGoogle Scholar
- Lam RW, Kennedy SH, Grigoriadis S, et al: Canadian Network for Mood and Anxiety Treatments (CANMAT) Clinical guidelines for the management of major depressive disorder in adults. III. Pharmacotherapy. J Affect Disord. 2009, 117: S26-S43.View ArticlePubMedGoogle Scholar
- Villava E, Caballero L: Study on use and follow-up of treatment with antidepressants conducted by Primary Care physicians. SEMERGEN. 2006, 32: 427-432. 10.1016/S1138-3593(06)73310-X.View ArticleGoogle Scholar
- Fernandez-Meza A, Pinto-Meza A, Bellon JA, et al: Is major depression adequately diagnosed and treated by general practitioners? Results from an epidemiological study. Gen Hosp Psychiatry. 2010, 32: 201-209. 10.1016/j.genhosppsych.2009.11.015.View ArticleGoogle Scholar
- Chang TE, Jing Y, Yeung AS, et al: Effect of communicating depression severity on physician prescribing patterns: findings from the Clinical Outcomes in Measurement-based Treatment (COMET) trial. Gen Hosp Psychiatry. 2012, 34: 105-112. 10.1016/j.genhosppsych.2011.12.003.View ArticlePubMedGoogle Scholar
- Thase ME: Evaluating antidepressant therapies: remission as the optimal outcome. J Clin Psychiatry. 2003, 64 (suppl. 13): 18-25.PubMedGoogle Scholar
- Gao K, Kemp DE, Fein E, Wang Z, Fang Y, Ganocy J, et al: Number needed to treat to harm for discontinuation due to adverse events in the treatment of bipolar depression, major depressive disorder, and generalized anxiety disorder with atypical antipsychotics. J Clin Psychiatry. 2011, 72: 1063-1071. 10.4088/JCP.09r05535gre.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-244X/12/143/prepub
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