Skip to main content

Study protocol for the randomised controlled trial: Antiglucocorticoid augmentation of anti-Depressants in Depression (The ADD Study)

Abstract

Background

Some patients with depression do not respond to first and second line conventional antidepressants and are therefore characterised as suffering from treatment refractory depression (TRD). On-going psychosocial stress and dysfunction of the hypothalamic-pituitary-adrenal axis are both associated with an attenuated clinical response to antidepressants. Preclinical data shows that co-administration of corticosteroids leads to a reduction in the ability of selective serotonin reuptake inhibitors to increase forebrain 5-hydroxytryptamine, while co-administration of antiglucocorticoids has the opposite effect. A Cochrane review suggests that antiglucocorticoid augmentation of antidepressants may be effective in treating TRD and includes a pilot study of the cortisol synthesis inhibitor, metyrapone. The Antiglucocorticoid augmentation of anti-Depressants in Depression (The ADD Study) is a multicentre randomised placebo controlled trial of metyrapone augmentation of serotonergic antidepressants in a large population of patients with TRD in the UK National Health Service.

Methods/design

Patients with moderate to severe treatment refractory Major Depression aged 18 to 65 will be randomised to metyrapone 500 mg twice daily or placebo for three weeks, in addition to on-going conventional serotonergic antidepressants. The primary outcome will be improvement in Montgomery-Åsberg Depression Rating Scale score five weeks after randomisation (i.e. two weeks after trial medication discontinuation). Secondary outcomes will include the degree of persistence of treatment effect for up to 6 months, improvements in quality of life and also safety and tolerability of metyrapone. The ADD Study will also include a range of sub-studies investigating the potential mechanism of action of metyrapone.

Discussion

Strengths of the ADD study include broad inclusion criteria meaning that the sample will be representative of patients with TRD treated within the UK National Health Service, longer follow up, which to our knowledge is longer than any previous study of antiglucocorticoid treatments in depression, and the range of mechanistic investigations being carried out. The data set acquired will be a rich resource for a range of research questions relating to both refractory depression and the use of antiglucocorticoid treatments.

Trial registration

Current Controlled Trials: ISRCTN45338259; EudraCT Number: 2009-015165-31.

Background

Depression is a common disorder, affecting some 10% of the population [1]. It is rated by the Disease Control Priorities Project as one of the leading medical contributors to the global burden of disease [2]. It can become long-lasting and may recur frequently. Depression has a large negative impact on the quality of life of service users and their carers. It is associated with high morbidity (depression has been identified as one of the leading causes of work days lost and working-age adults receiving disability payments in the UK) [3] and mortality, through suicide and increased deaths from cardiovascular disease [4]. Clinical guidelines recommend the use of antidepressant medication for the treatment of a moderate to severe depressive episode [1, 5]. Antidepressant drugs have established efficacy versus placebo in clinical trials, however, in naturalistic settings many patients have unsatisfactory outcomes. The large pragmatic STAR*D study conducted in the USA showed that even with protocol driven treatment, first line therapy with a selective serotonin reuptake inhibitor (SSRI: citalopram) in over 2500 patients was associated with remission in only 28%, and response (defined as a 50% decrease in symptom scores) in less than 50% of patients [6]. Further, second line treatment in the STAR*D study with an alternative antidepressant was associated with an even lower remission rate of 20-25% [7]. Much of the burden is consequent upon this treatment refractory depression (TRD).

Clinical response to antidepressant treatment may be influenced by a number of factors, but an inadequate neurochemical response is one likely mechanism of non-response. The majority of antidepressants, on chronic administration, elevate forebrain levels of 5-hydroxytryptamine (serotonin, 5-HT). The clinical importance of this is supported by the fact that acute depletion of tryptophan (the precursor of 5-HT) can lead to the rapid return of depressive symptoms in patients treated with antidepressants [8, 9]. There is a long-held notion that life events and lack of social support predict worse treatment outcomes in patients with depression [10]. The mechanism of this may relate to the hypothalamic-pituitary-adrenal (HPA) axis. It is well established from animal and human studies that glucocorticoids influence multiple aspects of 5-HT neurotransmission (including the sensitivity of 5-HT1A autoreceptors and postsynaptic 5-HT receptor efficacy [1114] that are postulated to be central to the antidepressant mechanism of action [15]). Furthermore, dysregulation of the HPA axis can reduce the effects of antidepressants in the frontal cortex. Implantation of corticosteroid releasing pellets in rodents to induce an HPA axis dysregulation has been shown to attenuate the ability of antidepressants to elevate forebrain 5-HT levels [16]. Interestingly, there is also increasing evidence that antiglucocorticoid treatments have the opposite effect by enhancing the forebrain 5-HT response to antidepressants [17]. This suggests that reducing normal physiological levels of glucocorticoid receptor activation can increase the elevation of 5-HT in response to SSRIs. These data suggest a potential mechanism by which antiglucocorticoid strategies can enhance the clinical effectiveness of antidepressants in clinical practice.

HPA axis abnormalities are often demonstrated in patients with mood disorders. HPA axis dysregulation in depression is often characterised, particularly in those with melancholic symptoms, by a flattened cortisol diurnal rhythm with elevated trough levels of cortisol [18] and by attenuated negative feedback effects of corticosteroids on adrenocorticotrophin hormone (ACTH) and cortisol release [19]. There is increasing evidence that shows such dysregulation is associated with poor prognosis, including non-response to antidepressants and future relapse [2026]. Further, a Cochrane review demonstrated the efficacy of antiglucocorticoid augmentation of antidepressants in patients with depression with the largest effect size seen with metyrapone [27], a cortisol synthesis inhibitor which crosses the blood–brain barrier. There have been several open or open-label, including randomised, studies of metyrapone augmentation of antidepressants, showing efficacy in treatment-resistant depression [2832]. In addition a successful proof-of-concept double blind, placebo controlled randomised study has been conducted by Jahn and colleagues [33] in a centre in Germany, with 63 depressed inpatients. Patients were all on a serotonergic antidepressant and were randomised to add-on treatment with metyrapone (1 g/day for 3 weeks) or placebo. The primary outcome measure was the percentage of responders (defined by a set improvement on the Hamilton depression rating scale) 5 weeks after randomisation (i.e. 2 weeks after cessation of metyrapone or placebo augmentation). Patients receiving metyrapone were significantly more likely to respond than those receiving placebo, with an effect size of d = 0.63. Kaplan-Meier analysis revealed a faster response with metyrapone, which was well tolerated and without serious side-effects.

Aims

The primary aim of the “Antiglucocorticoid augmentation of anti-Depressants in Depression” (ADD) study is to examine the efficacy and safety of metyrapone augmentation of serotonergic antidepressants in a randomised controlled trial (RCT) in patients with Major Depression who have not responded to at least two courses of antidepressants in their current episode. The study extends research in this area by exploring the translatability of the proof of concept study described above [33] to an outpatient, primary and secondary care, UK National Health Service (NHS) population. To date, all published studies of the use of antiglucocorticoids in patients with TRD have used short treatment periods of 1-3 weeks [27], which can appear counter-intuitive in such a potentially chronic condition. However, evidence suggests that the clinical effects of antiglucocorticoids on HPA axis function persist after their prescription has ceased [34, 35]. The persistence of effects on depressive symptoms and quality of life will therefore be examined in the ADD study for around 6 months after stopping metyrapone treatment compared with the 2 week follow-up period of Jahn and colleagues [33].

The exact mechanism by which metyrapone may enhance antidepressant efficacy is unknown. A secondary aim of the ADD study is to explore the impact of metyrapone on HPA axis function and the hypothesis that metyrapone leads to altered neural responsiveness to glucocorticoids with an increase in the frontocortical 5-HT response to antidepressants. In addition, a number of studies in sub-samples, drawn from the main RCT population, will also be undertaken using electroencephalographic (EEG) and functional magnetic resonance imaging (fMRI) techniques, assessment of neuropsychological function, and genetic variability to address this mechanistic aim. Only the elements of the study relating to the full RCT sample (efficacy and safety measures and HPA axis function) will be described in detail here. The sub-studies are, however, detailed in Table 1. The description of the protocol below is consistent with the SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) 2013 recommendations (see http://www.spirit-statement.org/spirit-statement/).

Table 1 Sub-studies: data collected and rationale

Methods/design

Study design

The ADD study is a multicentre parallel group, double-blind, randomised, placebo-controlled superiority trial of augmentation of serotonergic antidepressants with metyrapone in patients with moderate to severe depression who have failed to respond to adequate trials of at least two antidepressants in their current episode.

Study population

The initial study aim was to recruit 190 patients. However due to initial slow recruitment rates after discussion with the funder, sponsor and the independent Data Monitoring and Ethics Committee, a revised target of 140 was agreed by accepting a reduction in power of the study from 90% to 80% on the primary outcome measure (see below). These patients will be recruited from primary and secondary care settings.

Inclusion criteria

  • Diagnostic and Statistical Manual of Mental Disorders – Fourth Edition (DSM-IV) [61] defined major depressive episode assessed using the Structured Clinical Interview for DSM (SCID) research version [62].

  • Hamilton Depression Rating Scale -17 item (HDRS17) [63] score of ≥ 18 at week -2 and 0 (see below).

  • Massachusetts General Hospital Treatment Resistant Depression (MGH-TRD) staging score of 2-10 as a measure of treatment refractoriness [64]. This cut off is based on MGH-TRD scores seen in primary and secondary care, but short of tertiary care, in the UK NHS [65].

  • Single agent or combination antidepressant treatment which includes a serotonergic drug (a selective serotonin reuptake inhibitor, a tertiary amine tricyclic, venlafaxine, duloxetine or mirtazapine). At the point of randomisation, patients must have been on their current antidepressant medication, at the current dose, for a minimum of four weeks.

  • Aged between 18-65. An upper age limit is included to reduce rates of physical health comorbidities that could complicate decisions around the safety of prescription of a drug (metyrapone) that may lower cortisol levels.

Exclusion criteria

  • Other DSM-IV axis I diagnosis, other than an anxiety disorder considered to be secondary to a primary diagnosis of depression, confirmed using SCID.

  • Physical co-morbidity that would make metyrapone inappropriate, including untreated hypothyroidism, disorders of steroid production, cardiac failure, angina, myocardial infarction in the last 3 years and renal failure.

  • Pregnancy or breastfeeding.

  • Use of medication that would interfere with metyrapone.

  • Dependence on alcohol or other drug(s) in the past 12 months, and/or current harmful use of such substances (defined as meeting SCID criteria for harmful use or dependence).

  • Recent participation in a research study that could interfere with results.

Recruitment

Patient identification will occur across two hubs of the UK NIHR Mental Health Research Network - the North East with centres in Newcastle and Teesside and the North West with Manchester as the centre - and in the West Yorkshire Comprehensive Local Research Network – with centres in Leeds and Bradford. Potential participants will be identified through routine clinic appointments at study sites and Participant Identification Centres that will include Primary Care and Community Mental Health Teams.

Intervention

Participants will continue their existing antidepressant regime. Randomisation will be in a 1:1 ratio of metyrapone to matched placebo using permuted block randomisation, stratified by inclusion in mechanistic studies sub-sample, level of care setting (i.e. primary or secondary care) and by centre. A randomisation code will be computer generated by the Newcastle Clinical Trials Unit and coded packs of the study drug and matched placebo will be produced, according to the randomisation schedule. All medication will be supplied from a single central pharmacy with all participants and study staff blinded to treatment allocation. To ensure blinding the metyrapone will be over-encapsulated and the placebo will be visually identical. Participants in the treatment arm will receive study drug (metyrapone 500 mg or placebo) twice daily, prescribed in the morning and at noon, for 21 days. Adherence to medication will be assessed using measures of 11-deoxycortisol as described below under “HPA axis Assessment”.

Apart from treatment with the experimental intervention, all other treatments will remain under the control of the patient’s normal treating psychiatrist and/or general practitioner. However, the patients’ clinicians will be encouraged to avoid changes to medications between enrolment (week -2) and the primary outcome time point (week +5) unless there is a compelling clinical reason to alter treatment. All current medication will be recorded at all follow up time points.

Objectives

Primary clinical objective

  • The primary objective is to determine whether metyrapone (500 mg twice a day) for 21 days is efficacious in augmenting conventional serotonergic antidepressants in TRD in a UK NHS primary and secondary care setting. This to be assessed by Montgomery-Åsberg Depression Rating Scale (MADRS) [66] scores two weeks post treatment (week +5 from randomisation), comparing patients treated with metyrapone to those treated with placebo.

Secondary clinical objectives

  • To determine the clinical effect size at two weeks post-completion of treatment of a three-week course of metyrapone (vs placebo) augmentation of antidepressants in depressed patients who have failed to respond to at least two courses of antidepressants, in primary care and psychiatric outpatient clinics in the UK.

  • To assess whether the response is sustained for up to 21 weeks post cessation of metyrapone.

  • To assess whether metyrapone augmentation improves patients’ quality of life using the self-completed EuroQol EQ-5D instrument (http://www.euroqol.org/).

  • To assess the tolerability and safety of metyrapone augmentation in a large sample taken from a representative population of psychiatric outpatients and primary care patients with TRD.

Mechanistic objectives related to the full RCT sample

  • To assess whether metyrapone changes patients’ HPA axis function.

  • To assess whether changes in HPA axis function with metyrapone persist after stopping metyrapone.

  • To assess whether the change in HPA axis function correlates with clinical response.

  • To assess whether baseline HPA axis function predicts clinical response.

Study schedule

All assessments will be undertaken by trained research personnel under the supervision of the clinically trained principle investigators (INF, RHMW, SW, IMA, AOH, HCRG, PMH, TH, AJL).

Screening visit (week -2)

Written informed consent will be obtained and study eligibility determined. Height, weight and safety measurements (see Table 2 for details) will be recorded. Baseline blood tests including urea and electrolytes, cortisol, thyroid function test, liver function tests, full blood count and β-human chorionic gonadotropin (if indicated) will be taken. Background factors, personality, and childhood adversity and life events will be assessed between recruitment and randomisation, using the NewMood background questionnaire [67] given to patients to complete and return at the next visit. This questionnaire includes the Big Five Inventory 44 personality questionnaire [68], a negative life events questionnaire adapted from the list of Life Threatening Experiences [69], the Social Circumstances Questionnaire, which is an adaptation of the Social Support Questionnaire [70] as used in the NewMood study [67], the Childhood Trauma Questionnaire [71] and the Ruminative Responses Scale [72]. Depression severity will be determined using the HDRS17, which will be rated using the GRID-HAMD for improved reliability [73], and the MADRS [66].

Table 2 Schedule of assessments

Randomisation visit (week 0)

Subjects will excluded if their HDRS17 has dropped below 18 or if there has been any change in their current antidepressant medication (drug or dose). Otherwise study medication will be supplied to commence the following day.

Follow –up

Data will be collected at weeks +1, +2, +3 (end of active treatment period), +4, +5 (primary outcome time point), +8, +16 and +24 from the date medication was started (+/- 2 days). The week +2 and +4 visits can be completed by telephone. Details of the assessments at each time point are described in Table 2. Depression severity will be assessed using the MADRS administered by trained members of the research team at time +3, +5,+8, +16 and + 24 weeks. The primary outcome measure will be the change in MADRS from week 0 to +5 weeks. The MADRS has preferable psychometric properties and higher sensitivity to change than other depression rating scales [74] and was associated with the largest effect size in the Jahn study [33]. Additional secondary outcome measures of symptomatology (Clinical Anxiety Scale (CAS) [75], Beck Depressive Inventory (BDI) [76], State Trait Anxiety Inventory (STAI) [77] and Young Mania Rating Scale (YMRS) [78]) will be conducted at the same time points as described for the MADRS. Quality of life will be assessed using the self-completed EuroQol EQ-5D instrument (http://www.euroqol.org/) and tolerability using the Toronto Side Effects Scale (TSES) [79].

Metyrapone treatment potentially engenders hypocortisolaemia with manifestations including a risk of postural hypotension, hyperkalaemia and hypernatremia. Therefore, safety assessments will include serum cortisol measures at week +1 as well as measuring sitting and standing blood pressure and urea and electrolytes at weeks +1 and +5.

HPA axis assessment

Cortisol levels to determine the cortisol awakening response (CAR) [80] will be obtained at the start of treatment (week 0) and then again at +3 and +5 weeks for all patients. This entails participants collecting 5 ml of saliva by passive drool [81] into a plastic collecting tube on wakening and then again at 15 minute intervals for a further hour. A total of five samples will be collected on each occasion either the day before or day after the planned study visit. Participants will also be asked to collect a saliva sample for cortisol assay at 11 pm the night before each of the three CAR assessments. In addition to collection of saliva samples, participants will complete a brief questionnaire relating to the nature and quality of sleep the night before the CAR assessment.

In addition to the saliva samples, serum samples will be taken at -2, +1 and +5 weeks for analysis of cortisol precursors and metabolites. Metyrapone administration has previously been shown to cause an increase in levels of ACTH, DHEA and 11-deoxycortisol together with an increase in the cortisone:cortisol ratio [33, 82]. The increase in 11-deoxycortisol between weeks -2 and +1 will be used as a measure of adherence to medication since this has been shown to be highly sensitive to treatment with metyrapone [33, 82].

Sample size, power and effect size

The primary outcome measure is change in MADRS between weeks 0 and +5. The effect size for this measure in the Jahn study [33] was 0.63. The study has been powered around the more conservative moderate effect size of 0.5 which, assuming a post-intervention standard deviation of 12 points [33], corresponds to a six point difference on the MADRS. An achieved sample size of 85 per group is required to detect effect size of 0.5 with 90% power, assuming alpha = 0.05. Allowing for 10% attrition during the trial, the original aim was to randomise 95 per group; 190 in total. However, as described above the recruitment target has been modified accepting a power of 80%, requiring a sample size of 63 per group. Again allowing for 10% attrition during the trial, we aim to randomise 70 per group; 140 in total.

Statistical analysis

A full Study Analysis Protocol will be drawn up prior to completion of the study and breaking of the study blind.

There is no planned interim analysis and no “stopping rules” for the study as a whole. Individual patients will be withdrawn from the study medication if it appears that to continue would be deleterious for their mental health or safety. This can be determined by the patient, the treating clinician and/or the research team and will be supported by the use of the MADRS particularly if there is an increase in the score for question 10 “suicidal thoughts”, or a lack of improvement in total MADRS score.

The primary outcome will be an intention to treat analysis of variance of the MADRS scores of the two treatment groups (metyrapone and placebo) at +5 weeks covarying for baseline MADRS. The persistence of change in the MADRS score will then be assessed using repeated measures analysis of variance utilising data from all time points. The change and persistence of the change in other clinical and quality of life measures will be examined using the same methods. Additional secondary outcomes will include rates of response (defined as a 50% or greater reduction in MADRS score) and remission (defined as MADRS ≤ 10) with metyrapone versus placebo.

With regard to the mechanistic objectives, the study will examine whether treatment with metyrapone leads to a change in HPA axis function (assessed by examining the CAR and 11 pm cortisol measures) and whether changes in HPA axis function, compared to baseline, are seen two weeks post treatment. Both baseline HPA axis function and change in function with treatment will be assessed to see if they predict clinical response to metyrapone defined by the change in MADRS between week 0 and week +5, in an exploratory analysis.

Status of the study

The study was registered on 21/12/2009 (ISRCTN45338259) under the public title “Antiglucocorticoid augmentation of antiDepressants in Depression: the ADD study”. Clinical Trial Authorisation was given by the Medicines and Healthcare products Regulatory Agency (MHRA: EudraCT: 2009-015165-31). Ethical approval was granted by the Sunderland Local Research Ethics Committee (REC Ref No. 10/H0904/9) on 22/04/2010. Recruitment commenced in February 2011.

Discussion

The ADD Study is the largest RCT of antiglucocorticoid treatment of Major Depression in the UK and one of the largest worldwide. In addition it is novel in its length of follow up and in its inclusion of a range of mechanistic studies exploring how such treatments might work. Compared to many previous studies, including a relatively large proof of concept study of metyrapone augmentation of conventional antidepressants [33], the ADD study is recruiting from a broad population of patients including those from both primary and secondary care. Inclusion criteria have intentionally been kept broad and exclusion criteria to a minimum in order to explore the efficacy of metyrapone treatment in as real world a setting as possible. This means, for example, patients with significant suicidal ideation, who are often excluded from RCTs in depression, will be included in the ADD Study.

The patients included in the ADD study will be extremely well characterised at base line in relation to a number of factors know to relate to TRD as well as influencing HPA axis function. For example personality traits are associated with refractoriness to treatment in patients with depression [83] and the ADD study will characterise personality using the Big Five Inventory 44 personality questionnaire [68]. Further, given the impact of life events and childhood trauma on HPA axis function and potential vulnerability to depression [84, 85], these factors will also be well characterised using the negative life events questionnaire [69], the Social Circumstances Questionnaire [70] and the Childhood Trauma Questionnaire [71].

The dosing schedule for metyrapone that has been selected for the ADD Study is 500 mg twice a day administered in the morning and at noon. The total daily dose matches that given in previous studies [33]. The rationale for the timing of administration is to coincide with the portion of the day associate with the highest cortisol concentrations. While the ADD Study is not including direct measures of metyrapone plasma concentrations in patients, measurement of plasma 11-deoxycortisol after 1 week’s treatment will serve as a sensitive assessment of both compliance and pharmacodynamics effect of the treatment. Previous data shows that metyrapone administration is associated with highly significant increases in 11-deoxycortisol [33, 82] due to its effect of blocking 11β-hydroxylase.

The degree of treatment refractoriness of patients will be carefully assessed using the MGH-TRD staging scale [64]. There is a lack of consensus as to which staging scale for refractory depression should be used in studies. We have chosen the MGH-TRD scale due to its ease of use especially taking into account scoring for dose optimisation and augmentation/combination treatment. We have chosen a minimum MGH-TRD score of 2 for inclusion. Use of a single antidepressant at an effective dose scores 1 point and hence this minimum represents a failure to respond to at least 2 antidepressants given usual UK practice in primary care of not augmenting or combining medications for depression until after this stage [1]. Beyond this point in the treatment algorithm for individual patients there is great divergence in practice with patients being referred to secondary care at different stages by individual clinicians. The maximum MGH-TRD score for inclusion has been set as 10. In practice this means 5-6 trials of different antidepressants allowing for dose optimisation and augmentation/combination strategies used for some of these trials. Use of electroconvulsive therapy scores 3 points in the MGH-TRD scale. As such this in itself is not an exclusion criterion in the ADD Study. However since most patients receiving ECT will have also had at least a couple of antidepressants, often with dose optimisation and augmentation, in practice few patients treated with ECT have a score under the maximum cut off of 10.

Abbreviations

5-HT:

5-hydroxytrypatamine

ACTH:

Adrenocorticotrophic hormone

ADD:

Antiglucocorticoid augmentation of anti-depressants in depression

ANT:

Attentional Network Test

BDI:

Beck Depressive Inventory

BDNF:

Brain derived neurotropic factor

CAR:

Cortisol awakening response

CAS:

Clinical Anxiety Scale

CRF:

Corticotrophin releasing factor

DSM-IV:

Diagnostic and Statistical Manual of Mental Disorders – Fourth Edition

ECMT:

Emotional Categorisation and Memory Test

EEG:

Electroencephalograpy

EEMET:

Emotional episodic memory encoding task

ESMT:

Emotional source memory task

FEERT:

Facial Emotional Expression Recognition Test

FEPT:

Facial emotional processing task

fMRI:

Functional magnetic resonance imaging

HDRS17:

Hamilton Depression Rating Scale – 17 items

HPA:

Hypothalamic-pituitary-adrenal

LDAEPs:

Loudness dependency of auditory evoked potentials

LTP:

Long-term potentiation

MADRS:

Montgomery-Asberg Depression Rating Scale

MGH-TRD:

Massachusetts General Hospital Treatment Refractory Depression [staging score]

NICE:

National Institute for Health and Clinical Excellence

NHS:

National Health Service

OLM:

Object-Location Memory

RCT:

Randomised controlled trial

SCID:

Structured Clinical Interview for DSM

SSRI:

Selective serotonin reuptake inhibitor

STAI:

State Trait Anxiety Inventory

SWM:

Spatial working memory

TRD:

Treatment refractory depression

TSES:

Toronto Side Effects Scale

VTL:

Verbal Learning Test

YMRS:

Young Mania Rating Scale

References

  1. National Institute for Health and Clinical Excellence: Depression: the treatment and management of depression in adults (update). NICE Clinical Guideline 91. 2009

    Google Scholar 

  2. Murray C, Lopez A: The global burden of disease. 1996, Harvard, CT: Harvard University Press

    Google Scholar 

  3. The Centre for Economic Performance's Mental Health Policy Group: The depression report: A new deal for depression and anxiety disorders. 2006. London School of Economics. 2006, London, UK: London School of Economics and Political Science

    Google Scholar 

  4. Wulsin LR, Vaillant GE, Wells VE: A systematic review of the mortality of depression. Psychosom Med. 1999, 61: 6-17.

    Article  CAS  PubMed  Google Scholar 

  5. Anderson IM, Ferrier IN, Baldwin RC, Cowen PJ, Howard L, Lewis G, et al: Evidence-based guidelines for treating depressive disorders with antidepressants: a revision of the 2000 British Association for Psychopharmacology guidelines. J Psychopharm. 2008, 22: 343-396. 10.1177/0269881107088441.

    Article  CAS  Google Scholar 

  6. Trivedi MH, Rush AJ, Wisniewski SR, Nierenberg AA, Warden D, Ritz L, et al: Evaluation of outcomes with citalopram for depression using measurement-based care in STAR*D: implications for clinical practice. Am J Psychiatr. 2006, 163: 28-40. 10.1176/appi.ajp.163.1.28.

    Article  PubMed  Google Scholar 

  7. Rush AJ, Trivedi MH, Wisniewski SR, Nierenberg AA, Stewart JW, Warden D, et al: Acute and longer-term outcomes in depressed outpatients requiring one or several treatment steps: a STAR*D report. Am J Psychiatr. 2006, 163: 1905-1917. 10.1176/appi.ajp.163.11.1905.

    Article  PubMed  Google Scholar 

  8. Smith KA, Fairburn CG, Cowen PJ: Relapse of depression after rapid depletion of tryptophan. Lancet. 1997, 349: 915-919. 10.1016/S0140-6736(96)07044-4.

    Article  CAS  PubMed  Google Scholar 

  9. Ruhe HG, Mason NS, Schene AH: Mood is indirectly related to serotonin, norepinephrine and dopamine levels in humans: a meta-analysis of monoamine depletion studies. Mol Psychiatr. 2007, 12: 331-359. 10.1038/sj.mp.4001949.

    Article  CAS  Google Scholar 

  10. Vallejo J, Gasto C, Catalan R, Bulbena A, Menchon JM: Predictors of antidepressant treatment outcome in melancholia: psychosocial, clinical and biological indicators. J Affect Disord. 1991, 21: 151-162. 10.1016/0165-0327(91)90036-R.

    Article  CAS  PubMed  Google Scholar 

  11. McAllister-Williams RH, Massey AE, Fairchild G: Repeated cortisol administration attenuates the EEG response to buspirone in healthy volunteers: evidence for desensitization of the 5-HT1A autoreceptor. J Psychopharmacol. 2007, 21: 826-832. 10.1177/0269881107078292.

    Article  CAS  PubMed  Google Scholar 

  12. Fairchild G, Leitch MM, Ingram CD: Acute and chronic effects of corticosterone on 5-HT1A receptor-mediated autoinhibition in the rat dorsal raphe nucleus. Neuropharm. 2003, 45: 925-934. 10.1016/S0028-3908(03)00269-7.

    Article  CAS  Google Scholar 

  13. Leitch MM, Ingram CD, Young AH, McQuade R, Gartside SE: Flattening the corticosterone rhythm attenuates 5-HT1A autoreceptor function in the rat: relevance for depression. Neuropsychopharm. 2003, 28: 119-125. 10.1038/sj.npp.1300016.

    Article  CAS  Google Scholar 

  14. Man MS, Young AH, McAllister-Williams RH: Corticosterone modulation of somatodendritic 5-HT1A receptor function in mice. J Psychopharm. 2002, 16: 245-252. 10.1177/026988110201600310.

    Article  CAS  Google Scholar 

  15. Blier P: Pharmacology of rapid-onset antidepressant treatment strategies. J Clin Psychiatr. 2001, 62 (Suppl 15): 12-17.

    CAS  Google Scholar 

  16. Gartside SE, Leitch MM, Young AH: Altered glucocorticoid rhythm attenuates the ability of a chronic SSRI to elevate forebrain 5-HT: implications for the treatment of depression. Neuropsychopharm. 2003, 28: 1572-1578. 10.1038/sj.npp.1300201.

    Article  CAS  Google Scholar 

  17. Johnson DA, Grant EJ, Ingram CD, Gartside SE: Glucocorticoid receptor antagonists hasten and augment neurochemical responses to a selective serotonin reuptake inhibitor antidepressant. Biol Psychiatr. 2007, 62: 1228-1235. 10.1016/j.biopsych.2007.05.003.

    Article  CAS  Google Scholar 

  18. Wong ML, Kling MA, Munson PJ, Listwak S, Licinio J, Prolo P, et al: Pronounced and sustained central hypernoradrenergic function in major depression with melancholic features: relation to hypercortisolism and corticotropin-releasing hormone. Proc Natl Acad Sci USA. 2000, 97: 325-330. 10.1073/pnas.97.1.325.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Heuser I, Yassouridis A, Holsboer F: The combined dexamethasone/CRH test: a refined laboratory test for psychiatric disorders. J Psychiatr Res. 1994, 28: 341-356. 10.1016/0022-3956(94)90017-5.

    Article  CAS  PubMed  Google Scholar 

  20. Young EA, Altemus M, Lopez JF, Kocsis JH, Schatzberg AF, DeBattista C, et al: HPA axis activation in major depression and response to fluoxetine: a pilot study. Psychoneuroendocrin. 2004, 29: 1198-1204. 10.1016/j.psyneuen.2004.02.002.

    Article  CAS  Google Scholar 

  21. Juruena MF, Pariante CM, Papadopoulos AS, Poon L, Lightman S, Cleare AJ: Prednisolone suppression test in depression: prospective study of the role of HPA axis dysfunction in treatment resistance. Brit J Psychiatr. 2009, 194: 342-349. 10.1192/bjp.bp.108.050278.

    Article  Google Scholar 

  22. Ribeiro SC, Tandon R, Grunhaus L, Greden JF: The DST as a predictor of outcome in depression: a meta-analysis. Am J Psychiatr. 1993, 150: 1618-1629.

    Article  CAS  PubMed  Google Scholar 

  23. Zobel AW, Nickel T, Sonntag A, Uhr M, Holsboer F, Ising M: Cortisol response in the combined dexamethasone/CRH test as predictor of relapse in patients with remitted depression. a prospective study. J Psychiatr Res. 2001, 35: 83-94. 10.1016/S0022-3956(01)00013-9.

    Article  CAS  PubMed  Google Scholar 

  24. Appelhof BC, Huyser J, Verweij M, Brouwer JP, van Dyck R, Fliers E, et al: Glucocorticoids and relapse of major depression (dexamethasone/corticotropin-releasing hormone test in relation to relapse of major depression). Biol Psychiatr. 2006, 59: 696-701. 10.1016/j.biopsych.2005.09.008.

    Article  CAS  Google Scholar 

  25. Aubry JM, Gervasoni N, Osiek C, Perret G, Rossier MF, Bertschy G, et al: The DEX/CRH neuroendocrine test and the prediction of depressive relapse in remitted depressed outpatients. J Psychiatr Res. 2007, 41: 290-294. 10.1016/j.jpsychires.2006.07.007.

    Article  PubMed  Google Scholar 

  26. Vreeburg SA, Hoogendijk WJ, DeRijk RH, van DR, Smit JH, Zitman FG, et al: Salivary cortisol levels and the 2-year course of depressive and anxiety disorders. Psychoneuroendocrin. 2013, Jan 10 [epub ahead of print]

    Google Scholar 

  27. Gallagher P, Malik N, Newham J, Young AH, Ferrier IN, Mackin P: Antiglucocorticoid treatments for mood disorders. Cochrane Database Syst Rev. 2008, CD005168-

    Google Scholar 

  28. Ghadirian AM, Engelsmann F, Dhar V, Filipini D, Keller R, Chouinard G, et al: The psychotropic effects of inhibitors of steroid biosynthesis in depressed patients refractory to treatment. Biol Psychiatr. 1995, 37: 369-375. 10.1016/0006-3223(94)00150-2.

    Article  CAS  Google Scholar 

  29. O'Dwyer AM, Lightman SL, Marks MN, Checkley SA: Treatment of major depression with metyrapone and hydrocortisone. J Affect Disord. 1995, 33: 123-128. 10.1016/0165-0327(94)00082-K.

    Article  PubMed  Google Scholar 

  30. Raven PW, O'Dwyer AM, Taylor NF, Checkley SA: The relationship between the effects of metyrapone treatment on depressed mood and urinary steroid profiles. Psychoneuroendocrin. 1996, 21: 277-286. 10.1016/0306-4530(95)00057-7.

    Article  CAS  Google Scholar 

  31. Murphy BE, Ghadirian AM, Dhar V: Neuroendocrine responses to inhibitors of steroid biosynthesis in patients with major depression resistant to antidepressant therapy. Can J Psychiatr. 1998, 43: 279-286.

    CAS  Google Scholar 

  32. Rogoz Z, Skuza G, Wojcikowski J, Daniel WA, Wrobel A, Dudek D, et al: Effect of metyrapone supplementation on imipramine therapy in patients with treatment-resistant unipolar depression. Pol J Pharmacol. 2004, 56: 849-855.

    CAS  PubMed  Google Scholar 

  33. Jahn H, Schick M, Kiefer F, Kellner M, Yassouridis A, Wiedemann K: Metyrapone as additive treatment in major depression: a double-blind and placebo-controlled trial. Arch Gen Psychiatr. 2004, 61: 1235-1244. 10.1001/archpsyc.61.12.1235.

    Article  CAS  PubMed  Google Scholar 

  34. Rotllant D, Armario A: A single dose of metyrapone caused long-term dysregulation of the hypothalamic-pituitary-adrenal axis in the rat. Neurosci. 2005, 130: 427-434. 10.1016/j.neuroscience.2004.09.007.

    Article  CAS  Google Scholar 

  35. Gallagher P, Watson S, Elizabeth DC, Young AH, Ferrier IN: Persistent effects of mifepristone (RU-486) on cortisol levels in bipolar disorder and schizophrenia. J Psychiatr Res. 2008, 42: 1037-1041. 10.1016/j.jpsychires.2007.12.005.

    Article  PubMed  Google Scholar 

  36. Robbins TW, James M, Owen AM, Sahakian BJ, Lawrence AD, McInnes L, et al: A study of performance on tests from the CANTAB battery sensitive to frontal lobe dysfunction in a large sample of normal volunteers: implications for theories of executive functioning and cognitive aging. Cambridge Neuropsychological Test Automated Battery. J Int Neuropsychol Soc. 1998, 4: 474-490.

    Article  CAS  PubMed  Google Scholar 

  37. Lupien SJ, Wilkinson CW, Briere S, Menard C, Ng Ying Kin NM, Nair NP: The modulatory effects of corticosteroids on cognition: studies in young human populations. Psychoneuroendocrin. 2002, 27: 401-416. 10.1016/S0306-4530(01)00061-0.

    Article  CAS  Google Scholar 

  38. Young AH, Sahakian BJ, Robbins TW, Cowen PJ: The effects of chronic administration of hydrocortisone on cognitive function in normal male volunteers. Psychopharm. 1999, 145: 260-266. 10.1007/s002130051057.

    Article  CAS  Google Scholar 

  39. Pariante CM, Alhaj HA, Arulnathan VE, Gallager P, Hanson A, Massey AE, et al: Central glucocorticoid receptor-medicated effects of the antidepressant citalopram in humans: a study using EEG and cognitive testing. Psychoneuroendocrin. 2012, 37: 618-628. 10.1016/j.psyneuen.2011.08.011.

    Article  CAS  Google Scholar 

  40. Merens W, Van der Does AJ W, Spinhoven P: The effects of serotonin manipulations on emotional information processing and mood. J Affect Disord. 2007, 103: 43-62. 10.1016/j.jad.2007.01.032.

    Article  CAS  PubMed  Google Scholar 

  41. Harmer CJ, Heinzen J, O'Sullivan U, Ayres RA, Cowen PJ: Dissociable effects of acute antidepressant drug administration on subjective and emotional processing measures in healthy volunteers. Psychopharm. 2008, 199: 495-502. 10.1007/s00213-007-1058-7.

    Article  CAS  Google Scholar 

  42. Murphy FC, Smith KA, Cowen PJ, Robbins TW, Sahakian BJ: The effects of tryptophan depletion on cognitive and affective processing in healthy volunteers. Psychopharm. 2002, 163: 42-53. 10.1007/s00213-002-1128-9.

    Article  CAS  Google Scholar 

  43. Sambeth A, Blokland A, Harmer CJ, Kilkens TO, Nathan PJ, Porter RJ, et al: Sex differences in the effect of acute tryptophan depletion on declarative episodic memory: a pooled analysis of nine studies. Neurosci Biobehav Rev. 2007, 31: 516-529. 10.1016/j.neubiorev.2006.11.009.

    Article  CAS  PubMed  Google Scholar 

  44. McAllister-Williams RH, Rugg MD: Effects of repeated cortisol administration on brain potential correlates of episodic memory retrieval. Psychopharm. 2002, 160: 74-83. 10.1007/s00213-001-0938-5.

    Article  CAS  Google Scholar 

  45. McAllister-Williams RH, Massey AE, Rugg MD: Effects of tryptophan depletion on brain potential correlates of episodic memory retrieval. Psychopharm. 2002, 160: 434-442. 10.1007/s00213-001-0996-8.

    Article  CAS  Google Scholar 

  46. Kessels RP, Postma A, de Haan EH: Object relocation: a program for setting up, running, and analyzing experiments on memory for object locations. Behav Res Methods Instrum Comput. 1999, 31: 423-428. 10.3758/BF03200721.

    Article  CAS  PubMed  Google Scholar 

  47. Fan J, McCandliss BD, Sommer T, Raz A, Posner MI: Testing the efficiency and independence of attentional networks. J Cogn Neurosci. 2002, 14: 340-347. 10.1162/089892902317361886.

    Article  PubMed  Google Scholar 

  48. Harmer CJ, Bhagwagar Z, Perrett DI, Vollm BA, Cowen PJ, Goodwin GM: Acute SSRI administration affects the processing of social cues in healthy volunteers. Neuropsychopharm. 2003, 28: 148-152. 10.1038/sj.npp.1300004.

    Article  CAS  Google Scholar 

  49. Murphy FC, Sahakian BJ, Rubinsztein JS, Michael A, Rogers RD, Robbins TW, et al: Emotional bias and inhibitory control processes in mania and depression. Psychol Med. 1999, 29: 1307-1321. 10.1017/S0033291799001233.

    Article  CAS  PubMed  Google Scholar 

  50. Alhaj H, Wisniewski G, McAllister-Williams RH: The use of the EEG in measuring therapeutic drug action: focus on depression and antidepressants. J Psychopharm. 2011, 25: 1175-1191. 10.1177/0269881110388323.

    Article  CAS  Google Scholar 

  51. Mulert C, Juckel G, Brunnmeier M, Karch S, Leicht G, Mergl R, et al: Prediction of treatment response in major depression: integration of concepts. J Affect Disord. 2007, 98: 215-225. 10.1016/j.jad.2006.07.021.

    Article  CAS  PubMed  Google Scholar 

  52. Smith AP, Dolan RJ, Rugg MD: Event-related potential correlates of the retrieval of emotional and nonemotional context. J Cogn Neurosci. 2004, 16: 760-775. 10.1162/089892904970816.

    Article  PubMed  Google Scholar 

  53. Normann C, Schmitz D, Furmaier A, Doing C, Bach M: Long-term plasticity of visually evoked potentials in humans is altered in major depression. Biol Psychiatr. 2007, 62: 373-380. 10.1016/j.biopsych.2006.10.006.

    Article  Google Scholar 

  54. Hirata R, Togashi H, Matsumoto M, Yamaguchi T, Izumi T, Yoshioka M: Characterization of stress-induced suppression of long-term potentiation in the hippocampal CA1 field of freely moving rats. Brain Res. 2008, 1226: 27-32.

    Article  CAS  PubMed  Google Scholar 

  55. Teyler TJ, Hamm JP, Clapp WC, Johnson BW, Corballis MC, Kirk IJ: Long-term potentiation of human visual evoked responses. Eur J Neurosci. 2005, 21: 2045-2050. 10.1111/j.1460-9568.2005.04007.x.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Hariri AR, Bookheimer SY, Mazziotta JC: Modulating emotional responses: effects of a neocortical network on the limbic system. Neuroreport. 2000, 11: 43-48. 10.1097/00001756-200001170-00009.

    Article  CAS  PubMed  Google Scholar 

  57. Kensinger EA, Corkin S: Two routes to emotional memory: distinct neural processes for valence and arousal. Proc Natl Acad Sci USA. 2004, 101: 3310-3315. 10.1073/pnas.0306408101.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  58. Anderson IM, McKie S, Elliott R, Williams SR, Deakin JF: Assessing human 5-HT function in vivo with pharmacoMRI. Neuropharm. 2008, 55: 1029-1037. 10.1016/j.neuropharm.2008.06.029.

    Article  CAS  Google Scholar 

  59. Nelson HE: The National Adult Reading Test (NART): Test Manual. 1982, Windsor, England: NFER Publishing Co.

    Google Scholar 

  60. Oldfield RC: The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971, 9: 97-113. 10.1016/0028-3932(71)90067-4.

    Article  CAS  PubMed  Google Scholar 

  61. American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders Fourth Edition (DSM-IV). 1994, Washington, DC: American Psychiatric Association

    Google Scholar 

  62. Spitzer RL, Williams JB, Gibbon M, First MB: The Structured Clinical Interview for DSM-III-R (SCID). I: History, rationale, and description. Arch Gen Psychiatr. 1992, 49: 624-629. 10.1001/archpsyc.1992.01820080032005.

    Article  CAS  PubMed  Google Scholar 

  63. Hamilton M: Development of a rating scale for primary depressive illness. Br J Soc Clin Psychol. 1967, 6: 278-296. 10.1111/j.2044-8260.1967.tb00530.x.

    Article  CAS  PubMed  Google Scholar 

  64. Fava M: Diagnosis and definition of treatment-resistant depression. Biol Psychiatr. 2003, 53: 649-659. 10.1016/S0006-3223(03)00231-2.

    Article  Google Scholar 

  65. Hazari H, Christmas D, Matthews K: The clinical utility of different quantitative methods for measuring treatment resistance in major depression. J Affect Disord. 2013, May 11 [epub ahead of print]

    Google Scholar 

  66. Montgomery SA, Asberg M: A new depression scale designed to be sensitive to change. Brit J Psychiatr. 1979, 134: 382-389. 10.1192/bjp.134.4.382.

    Article  CAS  Google Scholar 

  67. Juhasz G, Chase D, Pegg E, Downey D, Toth ZG, Stones K, et al: CNR1 gene is associated with high neuroticism and low agreeableness and interacts with recent negative life events to predict current depressive symptoms. Neuropsychopharm. 2009, 34: 2019-2027. 10.1038/npp.2009.19.

    Article  CAS  Google Scholar 

  68. Srivastava S, John OP, Gosling SD, Potter J: Development of personality in early and middle adulthood: set like plaster or persistent change?. J Pers Soc Psychol. 2003, 84: 1041-1053.

    Article  PubMed  Google Scholar 

  69. Brugha T, Bebbington P, Tennant C, Hurry J: The list of threatening experiences: a subset of 12 life event categories with considerable long-term contextual threat. Psychol Med. 1985, 15: 189-194. 10.1017/S003329170002105X.

    Article  CAS  PubMed  Google Scholar 

  70. Sarason IG, Sarason BR, Sherin EN, Pierce GR: A brief measure of social support: practical and theoretical implications. J Soc Pers Relat. 1987, 4: 497-510. 10.1177/0265407587044007.

    Article  Google Scholar 

  71. Bernstein DP, Fink L, Handelsman L, Foote J, Lovejoy M, Wenzel K, et al: Initial reliability and validity of a new retrospective measure of child abuse and neglect. Am J Psychiatr. 1994, 151: 1132-1136.

    Article  CAS  PubMed  Google Scholar 

  72. Nolen-Hoeksema S, Larson J, Grayson C: Explaining the gender difference in depressive symptoms. J Pers Soc Psychol. 1999, 77: 1061-1072.

    Article  CAS  PubMed  Google Scholar 

  73. Williams JB, Kobak KA, Bech P, Engelhardt N, Evans K, Lipsitz J, et al: The GRID-HAMD: standardization of the Hamilton Depression Rating Scale. Int Clin Psychopharmacol. 2008, 23: 120-129. 10.1097/YIC.0b013e3282f948f5.

    Article  PubMed  Google Scholar 

  74. Carmody TJ, Rush AJ, Bernstein I, Warden D, Brannan S, Burnham D, et al: The Montgomery Asberg and the Hamilton ratings of depression: a comparison of measures. Eur Neuropsychopharm. 2006, 16: 601-611. 10.1016/j.euroneuro.2006.04.008.

    Article  CAS  Google Scholar 

  75. Snaith RP, Baugh SJ, Clayden AD, Husain A, Sipple MA: The clinical anxiety scale: an instrument derived from the Hamilton anxiety scale. Br J Psychiatr. 1982, 141: 518-523. 10.1192/bjp.141.5.518.

    Article  CAS  Google Scholar 

  76. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Arch Gen Psychiatr. 1961, 4: 561-571. 10.1001/archpsyc.1961.01710120031004.

    Article  CAS  PubMed  Google Scholar 

  77. Kendall PC, Finch AJ, Auerbach SM, Hooke JF, Mikulka PJ: The state-trait anxiety inventory: a systematic evaluation. J Consult Clin Psychol. 1976, 44: 406-412.

    Article  CAS  PubMed  Google Scholar 

  78. Young RC, Biggs JT, Ziegler VE, Meyer DA: A rating scale for mania: reliability, validity and sensitivity. Br J Psychiatr. 1978, 133: 429-435. 10.1192/bjp.133.5.429.

    Article  CAS  Google Scholar 

  79. Vanderkooy JD, Kennedy SH, Bagby RM: Antidepressant side effects in depression patients treated in a naturalistic setting: a study of bupropion, moclobemide, paroxetine, sertraline, and venlafaxine. Can J Psychiatr. 2002, 47: 174-180.

    CAS  Google Scholar 

  80. Wust S, Federenko I, Hellhammer DH, Kirschbaum C: Genetic factors, perceived chronic stress, and the free cortisol response to awakening. Psychoneuroendocrin. 2000, 25: 707-720. 10.1016/S0306-4530(00)00021-4.

    Article  CAS  Google Scholar 

  81. Gallagher P, Leitch MM, Massey AE, McAllister-Williams RH, Young AH: Assessing cortisol and dehydroepiandrosterone (DHEA) in saliva: effects of collection method. J Psychopharmacol. 2006, 20: 643-649. 10.1177/0269881106060585.

    Article  CAS  PubMed  Google Scholar 

  82. Otte C, Lenoci M, Metzler T, Yehuda R, Marmar CR, Neylan TC: Effects of metyrapone on hypothalamic-pituitary-adrenal axis and sleep in women with post-traumatic stress disorder. Biol Psychiatr. 2007, 61: 952-956. 10.1016/j.biopsych.2006.08.018.

    Article  CAS  Google Scholar 

  83. Souery D, Oswald P, Massat I, Bailer U, Bollen J, Demyttenaere K, et al: Clinical factors associated with treatment resistance in major depressive disorder: results from a European multicenter study. J Clin Psychiatr. 2007, 68: 1062-1070. 10.4088/JCP.v68n0713.

    Article  Google Scholar 

  84. Watson S, Owen BM, Gallagher P, Hearn AJ, Young AH, Ferrier IN: Family history, early adversity and the hypothalamic-pituitary-adrenal (HPA) axis: mediation of the vulnerability to mood disorders. Neuropsychiatr Dis Treat. 2007, 3: 647-653.

    PubMed  PubMed Central  Google Scholar 

  85. Tyrka AR, Wier L, Price LH, Ross N, Anderson GM, Wilkinson CW, et al: Childhood parental loss and adult hypothalamic-pituitary-adrenal function. Biol Psychiatr. 2008, 63: 1147-1154. 10.1016/j.biopsych.2008.01.011.

    Article  CAS  Google Scholar 

Pre-publication history

Download references

Acknowledgements

This project is supported by the Efficacy and Mechanism Evaluation (EME) Programme* (ref number 08/43/39). It is funded by the Medical Research Council (MRC) and managed by the National Institute for Health Research (NIHR) on behalf of the MRC-NIHR partnership, and is sponsored by Northumberland and Tyne and Wear NHS Foundation Trust. The views expressed in this publication are those of the author(s) and not necessarily those of the MRC, NHS, NIHR or the Department of Health. The authors would like to thank all members of the ADD study team: Isabel Adeyemi, Hamid Alhaj, Tanefa Apekey, Sally Barker, Jill Barlow, Rob Baskind, Vicky Bell, Karen Bibbings, Susan Bonner, Sam Bulmer, Alexandros Chatziagorakis, Emily Clare, Lyndsey Dixon, Michael Dixon, Claire Farrow, Andreas Finkelmeyer, Cheri Fletcher, Nicola Gill, John Grey, Wendy Hall, Marco Haring, John Hiley, Prakash Hosali, Shola Johnson, Alice Kennedy, Sophie Landa, Steve Lankshear, Fiona McKenzie, Elaine McMullen, Anna Massey, Carole Milburn, Zarina Mirza, Mohammad Musabir, Catherine O’Neil, Faye Ryles, Rebecca Savage, Frances Sherratt, Paul Sigalas, Lucy Stevens, Roger Sturrock, Lisa Svennson, Cathy Symonds, Nick Venters, Helen Watkinson, Kate Williams, Stephen Wright, Rashmi Yadav, Sarah Yates, Mirza Zarina. We would also like to thank support from the North East and North West hubs of the Mental Health Research Network, Primary Care Research Networks and Comprehensive Local Research Networks and the Manchester Wellcome Trust Clinical Research Facility.

*The EME Programme is funded by the MRC and NIHR, with contributions from the CSO in Scotland and NISCHR in Wales and the HSC R&D Division, Public Health Agency in Northern Ireland. It is managed by the NIHR Evaluation, Trials and Studies Coordinating Centre (NETSCC) based at the University of Southampton.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to R Hamish McAllister-Williams.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

The study was designed by INF, RHMW, SW, PG, IMA, EMcC NS. Funding was obtained by INF, RHMW, SW, IMA, AOH, EMcC, HCRG, PMH, TH, JW, FHW, AJL, INS. The manuscript was drafted by ES and RHMW. All authors reviewed, revised and approved the final version of the manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

McAllister-Williams, R.H., Smith, E., Anderson, I.M. et al. Study protocol for the randomised controlled trial: Antiglucocorticoid augmentation of anti-Depressants in Depression (The ADD Study). BMC Psychiatry 13, 205 (2013). https://0-doi-org.brum.beds.ac.uk/10.1186/1471-244X-13-205

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/1471-244X-13-205

Keywords