Cognitive markers for efficacy of neurofeedback for attention-deficit hyperactivity disorder - personalized medicine using computational psychiatry in a randomized clinical trial.

BACKGROUND: Exploring whether cognitive components (identified by baseline cognitive testing and computational modeling) moderate clinical outcome of neurofeedback (NF) for attention-deficit hyperactivity disorder (ADHD). METHOD: 142 children (aged 7-10) with ADHD were randomly assigned to either NF (n = 84) or control treatment (n = 58) in a double-blind clinical trial (NCT02251743). The NF group received live, self-controlled downtraining of electroencephalographic theta/beta ratio power. The control group received identical-appearing reinforcement from prerecorded electroencephalograms from other children. 133 (78 NF, 55 control) children had cognitive processing measured at baseline with the Integrated Visual and Auditory Continuous Performance Test (IVA2-CPT) and were included in this analysis. A diffusion decision model applied to the IVA2-CPT data quantified two latent cognitive components deficient in ADHD: drift rate and drift bias, indexing efficiency and context sensitivity of cognitive processes involving information integration. We explored whether these cognitive components moderated the improvement in parent- and teacher-rated inattention symptoms from baseline to treatment end (primary clinical outcome). RESULTS: Baseline cognitive components reflecting information integration (drift rate, drift bias) moderated the improvement in inattention due to NF vs. control treatment (p = 0.006). Specifically, those with either the most or least severe deficits in these components showed more improvement in parent- and teacher-rated inattention when assigned to NF (Cohen's d = 0.59) than when assigned to control (Cohen's d = -0.21). CONCLUSIONS: Pre-treatment cognitive testing with computational modeling identified children who benefitted more from neurofeedback than control treatment for ADHD.

The future of psychopharmacology: a critical appraisal of ongoing phase 2/3 trials, and of some current trends aiming to de-risk trial programmes of novel agents.

Despite considerable progress in pharmacotherapy over the past seven decades, many mental disorders remain insufficiently treated. This situation is in part due to the limited knowledge of the pathophysiology of these disorders and the lack of biological markers to stratify and individualize patient selection, but also to a still restricted number of mechanisms of action being targeted in monotherapy or combination/augmentation treatment, as well as to a variety of challenges threatening the successful development and testing of new drugs. In this paper, we first provide an overview of the most promising drugs with innovative mechanisms of action that are undergoing phase 2 or 3 testing for schizophrenia, bipolar disorder, major depressive disorder, anxiety and trauma-related disorders, substance use disorders, and dementia. Promising repurposing of established medications for new psychiatric indications, as well as variations in the modulation of dopamine, noradrenaline and serotonin receptor functioning, are also considered. We then critically discuss the clinical trial parameters that need to be considered in depth when developing and testing new pharmacological agents for the treatment of mental disorders. Hurdles and perils threatening success of new drug development and testing include inadequacy and imprecision of inclusion/exclusion criteria and ratings, sub-optimally suited clinical trial participants, multiple factors contributing to a large/increasing placebo effect, and problems with statistical analyses. This information should be considered in order to de-risk trial programmes of novel agents or known agents for novel psychiatric indications, increasing their chances of success.

Wrangling with p-values versus effect sizes to improve medical decision-making: A tutorial.

The most pervasive and damaging myth in clinical research is that the smaller the p-value, the stronger the hypothesis. In reality, the p-value primarily reflects the quality of research design decisions. The most common proposal to avoid misleading conclusions from clinical research requires the appropriate use of effect sizes, but which effect size, used when and how, is an open question. A solution is proposed for perhaps the most common problem in clinical research, the comparison between two populations, for example, comparison of two treatments in a randomized clinical trial or comparison of high risk versus low risk individuals in an epidemiological study: the success rate difference or equivalently the number needed to treat/take (NNT).

Common Types of Gender-Based Microaggressions in Medicine.

PURPOSE: Microaggressions are subtle verbal or nonverbal everyday behaviors that arise from unconscious bias, covert prejudice, or hostility. They may contribute to the persistent disparities faced by women in medicine. In this study, the authors sought to identify common microaggressions experienced by women faculty in medicine and to determine if specific demographic characteristics affect the reported frequencies of these microaggressions. METHOD: The authors used chain referral sampling to collect real-life anecdotes about microaggressions from women faculty across the nation. Thirty-four unique experiences from those reported were identified and scripted then reenacted using professional actors to create 34 videos of the real-life microaggressions and 34 corresponding fictional "control" versions of the same situations. The videos, presented in a random order, were evaluated by faculty from 4 academic medical centers from 2016 to 2018. RESULTS: A total of 124 faculty (79 women, 45 men) participated. Women reported higher frequencies of microaggressions than men in 33 of the 34 videos depicting microaggressions (P value range: < .001 to .042, area under the curve range: 0.60-0.69). No such differences were seen with the control videos. Women identified 21 microaggressions as occurring frequently. No significant differences were found with respect to participants' age, race/ethnicity, academic rank, or years in medicine. Post hoc analyses showed that the microaggressions fell into 6 themes: encountering sexism, encountering pregnancy- and child care-related bias, having abilities underestimated, encountering sexually inappropriate comments, being relegated to mundane tasks, and feeling excluded/marginalized. CONCLUSIONS: Privilege is often invisible to those who have it, whereas bias and discrimination are readily apparent to those who experience it. Knowledge of common microaggressions will allow for targeted individual, interpersonal, and institutional solutions to mitigate disparities in medicine.

"Not just another meta-analysis": Sources of heterogeneity in psychosocial treatment effect on cancer survival.

BACKGROUND: Currently, there are eight meta-analyses that address the question whether psychosocial intervention can prolong survival with widely disparate conclusions. One reason for inconsistent findings may be the methods by which previous meta-analyses were conducted. METHODS: Databases were searched to identify valid randomized controlled trials that compared psychosocial intervention with usual care. Hazard ratios (HRs) and their confidence intervals were pooled to estimate the strength of the treatment effect on survival time, and z-tests were performed to assess possible heterogeneity of effect sizes associated with different patient and treatment characteristics. RESULTS: Twelve trials involving 2439 cancer patients that met screening criteria were included. The overall effect favored the treatment group with a HR of 0.71 (95% Cl 0.58-0.88; P = 0.002). An effect size favoring treatment group was observed in studies sampling lower vs higher percentage of married patients' (NNT = 4.3 vs NNT = 15.4), when Cognitive-Behavioral Therapy was applied at early vs late cancer stage (NNT = 2.3 vs NNT = -28.6), and among patients' older vs younger than 50 (NNT = 4.2 vs NNT = -20.5). CONCLUSIONS: Psychosocial interventions may have an important effect on survival. Reviewed interventions appear to be more effective in unmarried patients, patients who are older, and those with an early cancer stage who attend CBT. Limitations of previous meta-analysis are discussed.

A Three-Step Letter Advance Directive Procedure to Facilitate Patient-Proxy Alignment in Advance Care Planning.

Background: Little is known about the extent of alignment between hematopoietic stem cell transplant (HSCT) patients and their healthcare proxies with respect to advance care planning (ACP). Aim: To determine if a structured three-step process using the letter advance directive (LAD) could (1) allow for the differences in opinion between patient-proxy dyads to surface and (2) help bridge preexisting discordance about specific treatment choices. Design: Blinded to each other, the HSCT patient (LAD-1) and proxy (LAD-2) each completed the LAD (step 1). They unmasked, compared LAD-1 and LAD-2, and discussed their choices (step 2). They completed a final letter directive (LAD-3) by consensus (step 3). Settings/Participants: Convenience sample of eighty dyads (patient and proxy) at a regional HSCT referral center. Results: The mean patient-proxy concordance was 72.9% for the 12 questions in the LAD. Wanting to be pain free at the end of life was the statement with the most amount of agreement (88.75% in LAD-1, 91.25% in LAD-2, and 90% in LAD-3). Patient-proxy dyads had notable discordance related to specific treatments. The highest discordance was related to ventilator support (46.3% of patients refused it, while 58.8% of proxies refused on behalf of the patient). Overall, proxies were more likely than patients to opt in for dialyses and hospice care but more likely to opt out for cardiac resuscitation and sedation to palliate refractory symptoms. On open discussion, patient-proxy discordance mostly resolved in favor of the patient. Conclusions: The ACP process should allow for patient-proxy differences to surface, facilitate a discussion about the granular details with the goal of reaching consensus. Our three-step approach using the LAD is an effective way to identify areas of patient-proxy concordance and discordance about specific treatment preferences. A structured patient-proxy discussion using the LAD helped reconcile discordance and most often in favor of a patient's original wishes.

Depressive symptoms predict head and neck cancer survival: Examining plausible behavioral and biological pathways.

BACKGROUND: Head and neck cancers are associated with high rates of depression, which may increase the risk for poorer immediate and long-term outcomes. Here it was hypothesized that greater depressive symptoms would predict earlier mortality, and behavioral (treatment interruption) and biological (treatment response) mediators were examined. METHODS: Patients (n = 134) reported depressive symptomatology at treatment planning. Clinical data were reviewed at the 2-year follow-up. RESULTS: Greater depressive symptoms were associated with significantly shorter survival (hazard ratio, 0.868; 95% confidence interval [CI], 0.819-0.921; P < .001), higher rates of chemoradiation interruption (odds ratio, 0.865; 95% CI, 0.774-0.966; P = .010), and poorer treatment response (odds ratio, 0.879; 95% CI, 0.803-0.963; P = .005). The poorer treatment response partially explained the depression-survival relation. Other known prognostic indicators did not challenge these results. CONCLUSIONS: Depressive symptoms at the time of treatment planning predict overall 2-year mortality. Effects are partly influenced by the treatment response. Depression screening and intervention may be beneficial. Future studies should examine parallel biological pathways linking depression to cancer survival, including endocrine disruption and inflammation. Cancer 2018;124:1053-60. © 2018 American Cancer Society.

Statistical Analysis Plan for Stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) Study.

Antidepressant medications are commonly used to treat depression, but only about 30% of patients reach remission with any single first-step antidepressant. If the first-step treatment fails, response and remission rates at subsequent steps are even more limited. The literature on biomarkers for treatment response is largely based on secondary analyses of studies designed to answer primary questions of efficacy, rather than on a planned systematic evaluation of biomarkers for treatment decision. The lack of evidence-based knowledge to guide treatment decisions for patients with depression has lead to the recognition that specially designed studies with the primary objective being to discover biosignatures for optimizing treatment decisions are necessary. Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) is one such discovery study. Stage 1 of EMBARC is a randomized placebo controlled clinical trial of 8 week duration. A wide array of patient characteristics is collected at baseline, including assessments of brain structure, function and connectivity along with electrophysiological, biological, behavioral and clinical features. This paper reports on the data analytic strategy for discovering biosignatures for treatment response based on Stage 1 of EMBARC.

Young adult outcomes in the follow-up of the multimodal treatment study of attention-deficit/hyperactivity disorder: symptom persistence, source discrepancy, and height suppression.

BACKGROUND: The Multimodal Treatment Study (MTA) began as a 14-month randomized clinical trial of behavioral and pharmacological treatments of 579 children (7-10 years of age) diagnosed with attention-deficit/hyperactivity disorder (ADHD)-combined type. It transitioned into an observational long-term follow-up of 515 cases consented for continuation and 289 classmates (258 without ADHD) added as a local normative comparison group (LNCG), with assessments 2-16 years after baseline. METHODS: Primary (symptom severity) and secondary (adult height) outcomes in adulthood were specified. Treatment was monitored to age 18, and naturalistic subgroups were formed based on three patterns of long-term use of stimulant medication (Consistent, Inconsistent, and Negligible). For the follow-up, hypothesis-generating analyses were performed on outcomes in early adulthood (at 25 years of age). Planned comparisons were used to estimate ADHD-LNCG differences reflecting persistence of symptoms and naturalistic subgroup differences reflecting benefit (symptom reduction) and cost (height suppression) associated with extended use of medication. RESULTS: For ratings of symptom severity, the ADHD-LNCG comparison was statistically significant for the parent/self-report average (0.51 ± 0.04, p < .0001, d = 1.11), documenting symptom persistence, and for the parent/self-report difference (0.21 ± 0.04, p < .0001, d = .60), documenting source discrepancy, but the comparisons of naturalistic subgroups reflecting medication effects were not significant. For adult height, the ADHD group was 1.29 ± 0.55 cm shorter than the LNCG (p < .01, d = .21), and the comparisons of the naturalistic subgroups were significant: the treated group with the Consistent or Inconsistent pattern was 2.55 ± 0.73 cm shorter than the subgroup with the Negligible pattern (p < .0005, d = .42), and within the treated group, the subgroup with the Consistent pattern was 2.36 ± 1.13 cm shorter than the subgroup with the Inconsistent pattern (p < .04, d = .38). CONCLUSIONS: In the MTA follow-up into adulthood, the ADHD group showed symptom persistence compared to local norms from the LNCG. Within naturalistic subgroups of ADHD cases, extended use of medication was associated with suppression of adult height but not with reduction of symptom severity.

Handling clinical comorbidity in randomized clinical trials in psychiatry.

The purpose of this paper is to a) outline the importance of including patients with clinical comorbidities in Randomized Clinical Trials (RCTs) of psychiatric treatments; and b) to propose a specific approach for best handling, analyzing and interpreting the data on clinical comorbidities in terms of their impact on treatment outcomes. To do this we first define and describe clinical comorbidity and differentiate it from other forms of comorbidity. We then describe the methodological and analytical problems associated with excluding patients with clinically comorbid conditions from RCTs, including the impact on the outcomes of RCTs in psychiatry and the impact on evidence-based clinical decision-making. We then address the challenges inherent to including patients with clinical comorbidities in RCTs. Finally, we propose a methodological and analytic approach to deal with these issues in RCTs which aims to significantly improve the information yielded from RCTs in psychiatry, and thus improve clinical decision-making.

Efficacy of Cognitive-Behavioral Therapy for Insomnia Combined With Antidepressant Pharmacotherapy in Patients With Comorbid Depression and Insomnia: A Randomized Controlled Trial.

OBJECTIVES: The Treatment of Insomnia and Depression (TRIAD) study evaluated the efficacy of combining depression pharmacotherapy (using MED, an ecologically valid and generalizable antidepressant medication algorithm) with cognitive-behavioral therapy for insomnia (CBT-I) among individuals with comorbid insomnia and major depressive disorder (MDD) to determine if change in insomnia severity mediates antidepressant outcome. METHODS: This 16-week, 3-site, randomized controlled trial (RCT) randomly assigned 150 participants (recruited between March 2009 and August 2013), who met DSM-IV-TR criteria for insomnia and MDD and were not receiving treatment for either, to receive depression pharmacotherapy plus 7 sessions of either CBT-I or a credible control therapy for insomnia (CTRL). Depression pharmacotherapy followed a standardized 2-step algorithm, which included escitalopram, sertraline, and desvenlafaxine in a prescribed sequence. Primary measures were the Hamilton Depression Rating Scale and the depression module of the Structured Clinical Interview for DSM-IV Axis I Disorders, Research Version, Nonpatient Edition, administered by raters masked to treatment assignment, and the self-administered Insomnia Severity Index (ISI). RESULTS: CBT-I was superior to CTRL in reducing insomnia severity (P = .028). The overall difference in depression remission between the treatments was not statistically significant (44% in CBT-I and 36% in CTRL; number needed to treat = 15). However, planned secondary analysis revealed that improvements in insomnia at week 6 mediated eventual remission from depression, with early change in ISI predicting depression remission in the CBT-I (P = .0002) but not in the CTRL arm (P = .26). CONCLUSIONS: CBT-I is an efficacious treatment for insomnia comorbid with MDD among patients treated with antidepressant medications. Improvement in insomnia may be related to the change in depression. Future studies should identify which patients are most likely to benefit from the addition of an insomnia-focused therapy to standard antidepressant treatments. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT00767624.

Illustrating the Multi-Faceted Dimensions of Group Therapy and Support for Cancer Patients.

In cancer support groups, choice of therapy model, leadership style, and format can impact patients' experiences and outcomes. Methodologies that illustrate the complexity of patients' group experiences might aid in choosing group style, or testing therapeutic mechanisms. We used this naturalistic study as a beginning step to explore methods for comparing cancer group contexts by first modifying a group-experience survey to be cancer-specific (Group Experience Questionnaire (GEQ)). Hypothesizing that therapist-led (TL) would differ from non-therapist-led (NTL), we explored the GEQ's multiple dimensions. A total of 292 patients attending three types of groups completed it: 2 TL groups differing in therapy style ((1) Supportive-Expressive (SET); (2) The Wellness Community (TWC/CSC)); (3) a NTL group. Participants rated the importance of "Expressing True Feelings" and "Discussing Sexual Concerns" higher in TL than NTL groups and "Discussing Sexual Concerns" higher in SET than other groups. They rated "Developing a New Attitude" higher in TWC/CSC compared to NTL. In addition, we depict the constellation of group qualities using radar-charts to assist visualization. These charts facilitate a quick look at a therapy model's strengths and weaknesses. Using a measure like the GEQ and this visualization technique could enable health-service decision making about choice of therapy model to offer.

Establishing moderators and biosignatures of antidepressant response in clinical care (EMBARC): Rationale and design.

UNLABELLED: Remission rates for Major Depressive Disorder (MDD) are low and unpredictable for any given antidepressant. No biological or clinical marker has demonstrated sufficient ability to match individuals to efficacious treatment. Biosignatures developed from the systematic exploration of multiple biological markers, which optimize treatment selection for individuals (moderators) and provide early indication of ultimate treatment response (mediators) are needed. The rationale and design of a multi-site, placebo-controlled randomized clinical trial of sertraline examining moderators and mediators of treatment response is described. The target sample is 300 participants with early onset (≤30 years) recurrent MDD. Non-responders to an 8-week trial are switched double blind to either bupropion (for sertraline non-responders) or sertraline (for placebo non-responders) for an additional 8 weeks. Clinical moderators include anxious depression, early trauma, gender, melancholic and atypical depression, anger attacks, Axis II disorder, hypersomnia/fatigue, and chronicity of depression. Biological moderator and mediators include cerebral cortical thickness, task-based fMRI (reward and emotion conflict), resting connectivity, diffusion tensor imaging (DTI), arterial spin labeling (ASL), electroencephalograpy (EEG), cortical evoked potentials, and behavioral/cognitive tasks evaluated at baseline and week 1, except DTI, assessed only at baseline. The study is designed to standardize assessment of biomarkers across multiple sites as well as institute replicable quality control methods, and to use advanced data analytic methods to integrate these markers. A Differential Depression Treatment Response Index (DTRI) will be developed. The data, including biological samples (DNA, RNA, and plasma collected before and during treatment), will become available in a public scientific repository. CLINICAL TRIAL REGISTRATION: Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression (EMBARC). Identifier: NCT01407094. URL: http://clinicaltrials.gov/show/NCT01407094.

Sedation mediates part of Citalopram's effect on agitation in Alzheimer's disease.

BACKGROUND: We found a benefit of citalopram for agitation in the Citalopram for Agitation in Alzheimer's Disease study (CitAD), and wondered if this was mediated by a sedative effect. CitAD was a randomized, placebo-controlled, double-blind, parallel group trial conducted at 8 academic centers in the United States and Canada from August 2009 to January 2013. One hundred sixty-two participants with probable Alzheimer's disease (AD) and clinically significant agitation were analyzed in this study. Participants received a psychosocial intervention and were randomized to receive either citalopram or placebo (approximately half assigned to each group). Participants were rated on the Neurobehavioral Rating Scale Agitation subscale and measures of sedation (i.e., fatigue and somnolence). METHODS: Using the MacArthur Foundation procedures for documenting a mediator effect, we performed a secondary analysis examining whether sedation mediates the effect of treatment on agitation outcome. RESULTS: We found a statistically significant mediating effect of sedation on agitation outcomes, but the magnitude of the effect was small, only explaining 11% of the variance in agitation, with a significant, but modest effect size of 0.16 (95% CI: 0.08 to 0.22). CONCLUSIONS: The benefit of citalopram was partly due to sedation but largely due to other mechanisms of action.

Higher vagal activity as related to survival in patients with advanced breast cancer: an analysis of autonomic dysregulation.

OBJECTIVE: High levels of high-frequency heart rate variability (HF-HRV), related to parasympathetic-nervous-system functioning, have been associated with longer survival in patients with myocardial infarction and acute trauma and in patients undergoing palliative care. From animal studies linking higher vagal activity with better immune system functioning and reduced metastases, we hypothesized that higher HF-HRV would predict longer survival in patients with metastatic or recurrent breast cancer (MRBC). METHODS: Eighty-seven patients with MRBC participated in a laboratory task including a 5-minute resting baseline electrocardiogram. HF-HRV was computed as the natural logarithm of the summed power spectral density of R-R intervals (0.15-0.50 Hz). In this secondary analysis of a study testing whether diurnal cortisol slope predicted survival, we tested the association between resting baseline HF-HRV on survival using Cox proportional hazards models. RESULTS: A total of 50 patients died during a median follow-up of 7.99 years. Higher baseline HF-HRV predicted significantly longer survival, with a hazard ratio of 0.75 (95% confidence interval = 0.60-0.92, p = .006). Visceral metastasis status and baseline heart rate were related to both HF-HRV and survival. However, a combination of HF-HRV and heart rate further improved survival prediction, with a hazard ratio of 0.64 (95% confidence interval = 0.48-0.85, p = .002). CONCLUSIONS: Vagal activity of patients with MRBC strongly predicted their survival, extending the known predictive window of HF-HRV in cancer beyond palliative care. Vagal activity can be altered by behavioral, pharmacological, and surgical interventions and may be a promising target for extending life expectancy in patients with metastasizing cancer.

Donepezil treatment in ethnically diverse patients with Alzheimer disease.

OBJECTIVE: To compare the outcome of donepezil treatment in ethnically diverse Alzheimer disease (AD) patients with ethnically diverse AD patients who did not receive donepezil. METHODS: Patients meeting NINCDS-ADRA criteria for probable or possible AD from a consortium of California sites were systematically followed for at least 1 year in this prospective, observational study. Their treatment regimens, including prescription of donepezil, were determined by their individual physician according to his or her usual criteria. Patients self-identified their ethnicity. RESULTS: The 64 ethnically diverse AD patients who completed the study and received donepezil treatment had an average 1-year decline of 2.30 points (standard deviation: 3.9) on the 30-point Mini-Mental State Exam compared with a 1.70-point (standard deviation: 4.2) decline in the 74 ethnically diverse completers who received no donepezil or other anti-AD drugs during the study period. This difference was not statistically significant. The overall Cohen effect size of this treatment-associated difference was estimated at -0.15. After using propensity analyses and other techniques to assess factors that could bias prescribing decisions, the lack of benefits associated with donepezil treatment remained. The lack of donepezil benefits also remained when more traditional analyses were applied to these data. CONCLUSION: Ethnically diverse AD patients in this study apparently did not benefit from 1 year of donepezil treatment. These unpromising results are in contrast to modest benefits of donepezil treatment measured in a directly comparable California study involving white non-Latino AD patients.

Cortisol, cytokines, and hippocampal volume interactions in the elderly.

Separate bodies of literature report that elevated pro-inflammatory cytokines and cortisol negatively affect hippocampal structure and cognitive functioning, particularly in older adults. Although interactions between cytokines and cortisol occur through a variety of known mechanisms, few studies consider how their interactions affect brain structure. In this preliminary study, we assess the impact of interactions between circulating levels of IL-1Beta, IL-6, IL-8, IL-10, IL-12, TNF-alpha, and waking cortisol on hippocampal volume. Twenty-eight community-dwelling older adults underwent blood draws for quantification of circulating cytokines and saliva collections to quantify the cortisol awakening response. Hippocampal volume measurements were made using structural magnetic resonance imaging. Elevated levels of waking cortisol in conjunction with higher concentrations of IL-6 and TNF-alpha were associated with smaller hippocampal volumes. In addition, independent of cortisol, higher levels of IL-1beta and TNF-alpha were also associated with smaller hippocampal volumes. These data provide preliminary evidence that higher cortisol, in conjunction with higher IL-6 and TNF-alpha, are associated with smaller hippocampal volume in older adults. We suggest that the dynamic balance between the hypothalamic-pituitary adrenal axis and inflammation processes may explain hippocampal volume reductions in older adults better than either set of measures do in isolation.

A novel approach for developing and interpreting treatment moderator profiles in randomized clinical trials.

IMPORTANCE: Identifying treatment moderators may help mental health practitioners arrive at more precise treatment selection for individual patients and can focus clinical research on subpopulations that differ in treatment response. OBJECTIVE: To demonstrate a novel exploratory approach to moderation analysis in randomized clinical trials. DESIGN, SETTING, AND PARTICIPANTS: A total of 291 adults from a randomized clinical trial that compared an empirically supported psychotherapy with selective serotonin reuptake inhibitor (SSRI) pharmacotherapy as treatments for depression. MAIN OUTCOMES AND MEASURES: We selected 8 relatively independent individual moderators out of 32 possible variables. A combined moderator, M*, was developed as a weighted combination of the 8 selected individual moderators. M* was then used to identify individuals for whom psychotherapy may be preferred to SSRI pharmacotherapy or vice versa. RESULTS: Among individual moderators, psychomotor activation had the largest moderator effect size (0.12; 95% CI, <.01 to 0.24). The combined moderator, M*, had a larger moderator effect size than any individual moderator (0.31; 95% CI, 0.15 to 0.46). Although the original analyses demonstrated no overall difference in treatment response, M* divided the study population into 2 subpopulations, with each showing a clinically significant difference in response to psychotherapy vs SSRI pharmacotherapy. CONCLUSIONS AND RELEVANCE: Our results suggest that the strongest determinations for personalized treatment selection will likely require simultaneous consideration of multiple moderators, emphasizing the value of the methods presented here. After validation in a randomized clinical trial, a mental health practitioner could input a patient's relevant baseline values into a handheld computer programmed with the weights needed to calculate M*. The device could then output the patient's M* value and suggested treatment, thereby allowing the mental health practitioner to select the treatment that would offer the greatest likelihood of success for each patient.

Testing DSM-5 in routine clinical practice settings: feasibility and clinical utility.

OBJECTIVE: This article describes the clinical utility and feasibility of proposed DSM-5 criteria and measures as tested in the DSM-5 Field Trials in Routine Clinical Practice Settings (RCP). METHODS RCP data were collected online for six months (October 2011 to March 2012). Participants included psychiatrists, licensed clinical psychologists, clinical social workers, advanced practice psychiatric-mental health nurses, licensed counselors, and licensed marriage and family therapists. Clinicians received staged, online training and enrolled at least one patient. Patients completed self-assessments of cross-cutting symptom domains, disability measures, and an evaluation of these measures. Clinicians conducted diagnostic interviews and completed DSM-5 and related assessments and a clinical utility questionnaire. RESULTS: A total of 621 clinicians provided data for 1,269 patients. Large proportions of clinicians reported that the DSM-5 approach was generally very or extremely easy for assessment of both pediatric (51%) and adult (46%) patients and very or extremely useful in routine clinical practice for pediatric (48%) and adult (46%) patients. Clinicians considered the DSM-5 approach to be better (57%) or much better (18%) than that of DSM-IV. Patients, including children age 11 to 17 (47%), parents of children age six to ten (64%), parents of adolescents age 11 to 17 (72%), and adult patients (52%), reported that the cross-cutting measures would help their clinicians better understand their symptoms. Similar patterns in evaluations of feasibility and clinical utility were observed among clinicians from various disciplines. CONCLUSIONS: The DSM-5 approach was feasible and clinically useful in a wide range of routine practice settings and favorably received by both clinicians and patients.