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Background: A RCT of a novel intervention to detect antidepressant medication response (the PReDicT Test) took place in five European countries, accompanied by a nested study of its acceptability and implementation presented here. The RCT results indicated no effect of the intervention on depression at 8 weeks (primary outcome), although effects on anxiety at 8 weeks and functioning at 24 weeks were found., Methods: The nested study used mixed methods. The aim was to explore patient experiences of the Test including acceptability and implementation, to inform its use within care. A bespoke survey was completed by trial participants in five countries (n = 778) at week 8. Semi-structured interviews were carried out in two countries soon after week 8 (UK n = 22, Germany n = 20). Quantitative data was analysed descriptively; for qualitative data, thematic analysis was carried out using a framework approach. Results of the two datasets were interrogated together., Outcomes: Survey results showed the intervention was well received, with a majority of participants indicating they would use it again, and it gave them helpful extra information; a small minority indicated the Test made them feel worse. Qualitative data showed the Test had unexpected properties, including: instigating a process of reflection, giving participants feedback on progress and new understanding about their illness, and making participants feel supported and more engaged in treatment., Interpretation: The qualitative and quantitative results are generally consistent. The Test's unexpected properties may explain why the RCT showed little effect, as properties were experienced across both trial arms. Beyond the RCT, the qualitative data sheds light on measurement reactivity, i.e., how measurements of depression can impact patients., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)

Data from the UK suggests 13-55 % of depression patients experience some level of treatment resistance. However, little is known about how physicians manage inadequate response to antidepressants in primary care. This study aimed to explore the incidence of inadequate response to antidepressants in UK primary care. One-hundred-eighty-four medication-free patients with low mood initiated antidepressant treatment and monitored severity of depression symptoms, using the QIDS-SR16, for 48 weeks. Medication changes, visits to healthcare providers, and health-related quality of life were also recorded. Patients were classified into one of four response types based on their QIDS scores at three study timepoints: persistent inadequate responders (<50 % reduction in baseline QIDS at all timepoints), successful responders (≥50 % reduction in baseline QIDS at all timepoints), slow responders (≥50 % reduction in QIDS at week 48, despite earlier inadequate responses), and relapse (initial ≥50 % reduction in baseline QIDS, but inadequate response by week 48). Forty-eight weeks after initiating treatment 47 % of patients continued to experience symptoms of depression (QIDS >5), and 20 % of patients had a persistent inadequate response. Regardless of treatment response, 96 % (n = 176) of patients did not visit their primary care physician over the 40-week follow-up period. These results suggest that despite receiving treatment, a considerable proportion of patients with low mood remain unwell and fail to recover. Monitoring depression symptoms remotely can enable physicians to identify inadequate responders, allowing patients to be reassessed or referred to secondary services, likely improving patients' quality of life and reducing the socioeconomic impacts of chronic mental illness., Competing Interests: Declaration of competing interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: GRD and JK own shares in the study sponsor (P1vital Products Ltd) which also owns the PReDicT predictive algorithm. ACB, RD, and JK are employees of P1vital Products Ltd. GRD owns shares in P1vital Ltd. ABA and GRD are employees of P1vital Ltd. HGR reports speakers’ bureau honoraria from Janssen, Lundbeck, and received research grants from ZonMW, HersenStichting, EU Horizon 2020, the Dutch Ministry of Health, and an unrestricted Educational grant from Janssen. AR has received honoraria for lectures and/or advisory boards from Janssen, Boehringer Ingelheim, COMPASS, SAGE/Biogen, LivaNova, Medice, Shire/Takeda and cyclerion. Also, he has received research grants from Medice and Janssen. GMG is Chief Medical Officer at Compass pathways, holds shares and options in Compass pathways and has served as consultant, advisor or CME speaker in the last 3 years for Beckley Psytech, Boehringer Ingelheim, Clerkenwell Health, Compass pathways, Evapharma, Janssen, Lundbeck, Medscape, Novartis, Ocean Neuroscience, P1Vital Ltd., Sage, Servier and Takeda. MB has acted as a consultant for Janssen Research, P1vital Ltd, Boehringer and CHDR, and was previously a paid employee of P1vital Ltd. RM has received payment from Novartis plc but have no other conflicts of interest to report. All other authors declare that they have no conflicts of interest. JS has received research grants from the ECNP, EU Horizon 2020, EU Horizon Europe, FWF, NIHR, WWTF, and academic advisor honoraria from the European Brain Council, (Copyright © 2024 Elsevier B.V. and ECNP. All rights reserved.)

Depressed patients often do not respond to the first antidepressant prescribed, resulting in sequential trials of different medications. Personalised medicine offers a means of reducing this delay; however, the clinical effectiveness of personalised approaches to antidepressant treatment has not previously been tested. We assessed the clinical effectiveness of using a predictive algorithm, based on behavioural tests of affective cognition and subjective symptoms, to guide antidepressant treatment. We conducted a multicentre, open-label, randomised controlled trial in 913 medication-free depressed patients. Patients were randomly assigned to have their antidepressant treatment guided by a predictive algorithm or treatment as usual (TaU). The primary outcome was the response of depression symptoms, defined as a 50% or greater reduction in baseline score of the QIDS-SR-16 scale, at week 8. Additional prespecified outcomes included symptoms of anxiety at week 8, and symptoms of depression and functional outcome at weeks 8, 24 and 48. The response rate of depressive symptoms at week 8 in the PReDicT (55.9%) and TaU (51.8%) arms did not differ significantly (odds ratio: 1.18 (95% CI: 0.89-1.56), P = 0.25). However, there was a significantly greater reduction of anxiety in week 8 and a greater improvement in functional outcome at week 24 in the PReDicT arm. Use of the PReDicT test did not increase the rate of response to antidepressant treatment estimated by depressive symptoms but did improve symptoms of anxiety at week 8 and functional outcome at week 24. Our findings indicate that personalisation of antidepressant treatment may improve outcomes in depressed patients.

Background: Depressed patients often focus on negative life events. Effective antidepressant therapy reverses this negative emotional bias (NEB) within 1 week. Clinical therapeutic effect usually requires 4-6 weeks. The value of implementing NEB monitoring for the personalisation of antidepressant therapy is unknown., Objective: To estimate the likely outcome and cost consequences of adopting the P1vital Oxford Emotional Test Battery (ETB) for this purpose in routine primary care in England., Methods: A hybrid decision analytic model (decision tree plus Markov model) was developed to estimate the cost-effectiveness of ETB monitoring versus no ETB over 52 weeks using quality-adjusted life years (QALYs). Differences in depression severity, episode type and analytical perspectives were considered. Input data were derived from relevant guidelines, literature, national databases, expert opinion and the developers for the year 2013. Multiple sensitivity analyses addressed uncertainty., Findings: The mean number of ETB tests is 2.162 per newly diagnosed patient and 2.166 per patient with recurrent depression. The incremental cost-effectiveness of ETB versus 'no ETB' is £4355/QALY from the healthcare perspective. From the broader societal perspective, ETB is more effective and cost saving., Conclusions: Monitoring negative emotional bias in primary care in England for personalised antidepressant treatment using ETB seems as an effective and cost-effective option under all considered scenarios (including worst case). Its main economic value seems to lie in reduced productivity loss as opposed to healthcare savings., Clinical Implications: The test supports accelerated application of evidence-based depression care. Further optimisation and implementation in the ongoing European PReDicT trial is ongoing., Competing Interests: Competing interests: GRD, JK and CTD own shares in P1vital Products Ltd. JK is an employee of P1vital Products Ltd. GRD, CTD, GMG and CJH own shares in P1vital Ltd. GRD and CTD are employees of P1vital Ltd., (© Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.)

Antidepressants must be taken for weeks before response can be assessed with many patients not responding to the first medication prescribed. This often results in long delays before effective treatment is started. Antidepressants induce changes in the processing of emotional stimuli early in the course of treatment. In the current study we assessed whether changes in emotional processing and subjective symptoms over the first week of antidepressant treatment predicted clinical response after 4-8 weeks of treatment. Such a predictive test may shorten the time taken to initiate effective treatment in depressed patients. Seventy-four depressed primary care patients completed measures of emotional bias and subjective symptoms before starting antidepressant treatment and then again 1 week later. Response to treatment was assessed after 4-6 weeks. The performance of classifiers based on these measures was assessed using a leave-one-out validation procedure with the best classifier then tested in an independent sample from a second study of 239 patients. The combination of a facial emotion recognition task and subjective symptoms predicted response with 77% accuracy in the training sample and 60% accuracy in the independent study, significantly better than possible using baseline response rates. The face based measure of emotional bias provided good quality data with high acceptability ratings. Changes in emotional processing can provide a sensitive early measure of antidepressant efficacy for individual patients. Early treatment induced changes in emotional processing may be used to guide antidepressant therapy and reduce the time taken for depressed patients to return to good mental health., (Copyright © 2018. Published by Elsevier B.V.)

Background: Antidepressant medication is commonly used to treat depression. However, many patients do not respond to the first medication prescribed and improvements in symptoms are generally only detectable by clinicians 4-6 weeks after the medication has been initiated. As a result, there is often a long delay between the decision to initiate an antidepressant medication and the identification of an effective treatment regimen. Previous work has demonstrated that antidepressant medications alter subtle measures of affective cognition in depressed patients, such as the appraisal of facial expression. Furthermore, these cognitive effects of antidepressants are apparent early in the course of treatment and can also predict later clinical response. This trial will assess whether an electronic test of affective cognition and symptoms (the Predicting Response to Depression Treatment Test; PReDicT Test) can be used to guide antidepressant treatment in depressed patients and, therefore, hasten treatment response compared to a control group of patients treated as usual., Methods/design: The study is a randomised, two-arm, multi-centre, open-label, clinical investigation of a medical device, the PReDicT Test. It will be conducted in five European countries (UK, France, Spain, Germany and the Netherlands) in depressed patients who are commencing antidepressant medication. Patients will be randomised to treatment guided by the PReDicT Test (PReDicT arm) or to Treatment as Usual (TaU arm). Patients in the TaU arm will be treated as per current standard guidelines in their particular country. Patients in the PReDicT arm will complete the PReDicT Test after 1 (and if necessary, 2) weeks of treatment. If the test indicates non-response to the treatment, physicians will be advised to immediately alter the patient's antidepressant therapy by dose escalation or switching to another compound. The primary outcome of the study is the proportion of patients showing a clinical response (defined as 50% or greater decrease in baseline scores of depression measured using the Quick Inventory of Depressive Symptoms - Self-Rated questionnaire) at week 8. Health economic and acceptability data will also be collected and analysed., Discussion: This trial will test the clinical efficacy, cost-effectiveness and acceptability of using the novel PReDicT Test to guide antidepressant treatment selection in depressed patients., Trial Registration: ClinicalTrials.gov, ID: NCT02790970 . Registered on 30 March 2016.

Intravenous infusion of lanicemine (formerly AZD6765), a low trapping non-selective N-methyl-D-aspartate (NMDA) receptor antagonist, induces antidepressant effects with a similar time course to ketamine. We investigated whether a single dose lanicemine infusion would reproduce the previously reported decrease in subgenual anterior cingulate cortex (sgACC) activity evoked by ketamine, a potential mechanism of antidepressant efficacy. Sixty un-medicated adults meeting the criteria for major depressive disorder were randomly assigned to receive constant intravenous infusions of ketamine, lanicemine or saline during a 60min pharmacological magnetic resonance imaging (phMRI) scan. Both ketamine and lanicemine gradually increased the blood oxygen level dependent signal in sgACC and rostral ACC as the primary outcome measure. No decreases in signal were seen in any region. Interviewer-rated psychotic and dissociative symptoms were minimal following administration of lanicemine. There was no significant antidepressant effect of either infusion compared to saline. The previously reported deactivation of sgACC after ketamine probably reflects the rapid and pronounced subjective effects evoked by the bolus-infusion method used in the previous study. Activation of the ACC was observed following two different NMDA compounds in both Manchester and Oxford using different 3T MRI scanners, and this effect predicted improvement in mood 1 and 7 days post-infusion. These findings suggest that the initial site of antidepressant action for NMDA antagonists may be the ACC (NCT01046630. A Phase I, Multi-centre, Double-blind, Placebo-controlled Parallel Group Study to Assess the pharmacoMRI Effects of AZD6765 in Male and Female Subjects Fulfilling the Criteria for Major Depressive Disorder; http://clinicaltrials.gov/show/NCT01046630)., (Copyright © 2016 Elsevier B.V. and ECNP. All rights reserved.)

Agomelatine is a new antidepressant with a novel profile of pharmacological action. The clinical efficacy of agomelatine has been established in major depression, but its actions on emotional bias are unknown. Consequently, the current experimental study assessed the effect of agomelatine on emotional processing in healthy volunteers using an Emotional Test Battery shown to be sensitive to serotonin and noradrenaline reuptake inhibitors. Volunteers were randomized to receive placebo, 25 mg or 50 mg of agomelatine over a 7-day period in a double-blind parallel groups design. Emotional processing (n = 48) was assessed on the morning of day 8 using the Emotional Test Battery which included facial expression recognition, emotional memory, attentional visual probe and emotion-potentiated startle. Mood and subjective state were monitored before and during treatment. Agomelatine (25 mg) decreased subjective ratings of sadness, reduced recognition of sad facial expressions, improved positive affective memory and reduced the emotion-potentiated startle response. The results show that agomelatine has more selective effects on the processing of social facial cues than conventional antidepressants, which could contribute to less blunting of emotional experience. The study highlights the potential value of volunteer models in drug development for screening and profiling of novel antidepressants.

It has been suggested that the increased reinforcement rate on a differential-reinforcement-of-low-rate of responding (DRL) schedule observed following acute antidepressant administration in the rat is due to an improvement in timing accuracy. The aim of the present work was to evaluate the effects of antidepressants in another schedule that requires accurate estimation of time intervals, the peak procedure. Three antidepressant drugs were tested, the tricyclic antidepressant imipramine (1.0-10.0 mg/kg, i.p.) and the 5-HT reuptake inhibitors, zimelidine (10.0-40.0 mg/kg, i.p.) and clomipramine (1.0-10.0 mg/kg, i.p.). For reference, the full benzodiazepine receptor agonist, diazepam (1.0-5.0 mg/kg, i.p.) and the psychomotor stimulant, d-amphetamine (0.5-1.5 mg/kg, s.c.) were also tested. All doses of d-amphetamine tested significantly increased lever-pressing rates, whereas all the other compounds induced significant decreases in lever-pressing rates. Overall, the time at which the maximal lever-pressing rate occurred was not altered by any of the compounds, suggesting that timing accuracy was not significantly affected by any of the compounds administered. The only exception was zimelidine (40.0 mg/kg), which reduced the time at which the maximal lever-pressing rate occurred, although lever-pressing rates were also significantly reduced at this dose. These data suggest that previously reported antidepressant-induced improvement in performance on the DRL schedule may not have been due to improved timing accuracy per se but may have been due to a decrease in lever-pressing rates.