Sexual orientation differences among men in a randomized clinical trial of extended-release naltrexone and bupropion for methamphetamine use disorder

BACKGROUND

Methamphetamine use disorder (MethUD) disproportionately affects men who have sex exclusively with men or with men and women (collectively MSM/W), compared to men who have sex with women (MSW). This study is the first MethUD medication trial to compare treatment effect for these groups, hypothesizing that extended-release injectable naltrexone 380mg every 3 weeks plus oral extended-release bupropion 450mg daily would be less effective for MSM/W than MSW.

METHODS

Data come from men (N = 246) in a multi-site, double-blind, randomized, placebo-controlled trial with sequential parallel comparison design. In Stage 1 (6-weeks), participants were randomized to active treatment or placebo. In Stage 2 (6-weeks), Stage 1 placebo non-responders were rerandomized. Treatment response was ≥3 methamphetamine-negative urine samples, out of four obtained at the end of Stages 1 and 2. Treatment effect was the active-versus-placebo between-group difference in the weighted average Stages 1 and 2 responses.

RESULTS

MSM/W (n = 151) were more likely than MSW (n = 95) to be Hispanic, college-educated, and living with HIV. Adjusting for demographics, among MSM/W, response rates were 13.95 % (active treatment) and 2.78 % (placebo) in Stage 1; 23.26 % (active treatment) and 4.26 % (placebo) in Stage 2. Among MSW, response rates were 7.69 % (active treatment) and 5.80 % (placebo) in Stage 1; 3.57 % (active treatment) and 0 % (placebo) in Stage 2. Treatment effect was significantly larger for MSM/W (h = 0.1479) than MSW (h = 0.0227) (p = 0.04).

CONCLUSIONS

Findings suggest efficacy of extended-release naltrexone plus bupropion for MSM/W, a population heavily burdened by MethUD. While a secondary outcome, this intriguing finding merits testing in prospective trials.

Adaption of tele-behavioral activation to increase physical activity in depression: Protocol for iterative development and evaluation

Background

Poor treatment outcomes, disease recurrence, and medical co-morbidities contribute to the significant burden caused by depressive disorders. Increasing physical activity in persons with depression has the potential to improve both depression treatment outcomes and physical health. However, evidence for physical activity interventions that can be delivered as part of depression treatment remains limited. This study will examine a Behavioral Activation teletherapy intervention adapted to include a specific focus on increasing physical activity.

Methods

The two-phase study will include a preliminary pilot study (n = 15) to evaluate and refine the manualized intervention using a mixed-methods approach followed by a single-arm study to evaluate feasibility and preliminary efficacy of the adapted BA teletherapy. Participants will be adults, age 18-64, with moderate to severe depressive symptoms (defined as a PHQ-9 score ≥10) and who currently engage in 90 min or less of moderate-to-vigorous physical activity. Individuals will be excluded if they have a current or past manic or hypomanic episode, psychosis, schizophrenia or schizophreniform disorder, or active suicidal ideation, or if not medically-cleared to exercise. The BA intervention will consist of 8 weekly sessions, followed by 2 bi-weekly booster sessions. Feasibility outcomes will include metrics of screening, enrollment, intervention adherence and fidelity, and participant retention. Intervention preliminary efficacy will be evaluated through assessment of changes in depressive symptoms and moderate-to-vigorous physical activity.

Conclusion

Data from this trial will be used to support the conduct of a randomized controlled trial to evaluate the efficacy of the adapted BA intervention.

Considering depression as a secondary outcome in the optimization of physical activity interventions for breast cancer survivors in the PACES trial: a factorial randomized controlled trial

BACKGROUND

Depressive symptoms result in considerable burden for breast cancer survivors. Increased physical activity may reduce these burdens but existing evidence from physical activity interventions in equivocal. Furthermore, physical activity intervention strategies may differentially impact depressive symptoms, which should be considered in designing and optimizing behavioral interventions for breast cancer survivors.

METHODS

The Physical Activity for Cancer Survivors (PACES) trial enrolled 336 participants breast cancer survivors, who were 3 months to 10 years post-treatment, and insufficiently active (< 150 min of moderate-to-vigorous physical activity per week). Participants were randomly assigned to a combination of 4 intervention strategies in a full-factorial design: 1) supervised exercise sessions, 2) facility access, 3) Active Living Every Day, and 4) Fitbit self-monitoring. Depressive symptoms were assessed at baseline, mid-intervention (3 months), and post-intervention (6 months) using the Quick Inventory for Depressive Symptoms. Change in depressive symptoms were analyzed using a linear mixed-effects model.

RESULTS

Results from the linear mixed-effects model indicated that depressive symptoms decreased significantly across the entire study sample over the 6-month intervention (F = 4.09, p = 0.044). A significant ALED x time interaction indicated participants who received the ALED intervention experienced greater reductions in depressive symptoms (F = 5.29, p = 0.022). No other intervention strategy significantly impacted depressive symptoms.

CONCLUSIONS

The ALED intervention consists of strategies (i.e., goal setting, social support) that may have a beneficial impact on depressive symptoms above and beyond the effect of increased physical activity. Our findings highlight the need to consider secondary outcomes when designing and optimizing physical activity interventions.

TRIAL REGISTRATION

ClinicalTrials.gov NCT03060941. Posted February 23, 2017.

The 9-item Concise Health Risk Tracking - Self-Report (CHRT-SR9) measure of suicidal risk: Performance in adult primary care patients

PURPOSE

To evaluate the psychometric properties of a 9-item Concise Health Risk Tracking Self-Report (or CHRT-SR₉) to assess suicidal risk in adult primary care outpatients.

METHODS

Overall, 369 adults completed the original 14-item version of CHRT-SR at baseline and within 4 months thereafter, from which the CHRT-SR₉ was extracted using multigroup confirmatory factor analysis. Measurement invariance (across age and sex) and classical test theory characteristics of the CHRT-SR₉ were evaluated. Concurrent validity was assessed by comparing CHRT-SR₉ responses to those of the suicide item in the Patient Health Questionnaire (PHQ-9), both cross-sectionally and as a change measure over time.

RESULTS

Confirmatory factor analysis identified the CHRT-SR₉ as the optimal solution. Factors included pessimism, helplessness, despair (2 items each) and suicidal thoughts (3 items). Measurement invariance held across sex and age groups, indicating that mean differences among sub-groups were real and not attributable to measurement bias. Classical test theory revealed acceptable item-total correlations overall (0.57-0.79) and internal consistency (Spearman-Brown from 0.76 to 0.90). Concurrent validity analyses revealed that the CHRT-SR₉ can measure both improvement and worsening of suicidality over time. A PHQ-9 response of 0, 1, 2, and 3 on the suicide item corresponded to 7.82 (5.53), 16.80 (4.99), 20.71 (5.36), and 25.95 (7.30) (mean and SD) on CHRT-SR₉ total score, respectively.

CONCLUSION

The CHRT-SR₉ is a brief self-report evaluating suicidality with excellent psychometric properties that is sensitive to change over time.

The Concise Health Risk Tracking - Self-Report (CHRT-SR)-A measure of suicidal risk: Performance in adolescent outpatients

OBJECTIVES

The Concise Health Risk Tracking Self-Report (CHRT-SR) assesses the risk of suicidal behavior. We report its psychometric properties in a representative sample of adolescent outpatients.

METHODS

A sample (n = 657) of adolescents (<18 years of age) in primary or psychiatric care completed the 14-item version of CHRT-SR at both baseline and within 3 months. To identify an optimal brief solution for the scale, we evaluated the factor structure of CHRT-SR using multigroup confirmatory factor analysis, and testing measurement invariance across age and gender. The item response theory and classical test theory characteristics of the optimal solution were evaluated. Concurrent validity (both cross-sectional and as a change measure over time) of the optimal solution was assessed by comparing it to another suicide measure.

RESULTS

Confirmatory factor analysis identified the 9-item CHRT-SR (CHRT-SR₉ ) as the optimal solution. Classical test theory and item response theory indicated excellent fit. Concurrent validity analyses revealed that it can measure both improvement/worsening of suicidality over time.

CONCLUSION

The CHRT-SR₉ is a brief self-report with excellent psychometric properties in a sample of adolescents that is sensitive to changes in suicidality over time. Its performance in other populations and ability to predict future suicidal events deserves study.

Neural substrates of emotional conflict with anxiety in major depressive disorder: Findings from the Establishing Moderators and biosignatures of Antidepressant Response in Clinical Care (EMBARC) randomized controlled trial

BACKGROUND

The brain circuitry of depression and anxiety/fear is well-established, involving regions such as the limbic system and prefrontal cortex. We expand prior literature by examining the extent to which four discrete factors of anxiety (immediate state anxiety, physiological/panic, neuroticism/worry, and agitation/restlessness) among depressed outpatients are associated with differential responses during reactivity to and regulation of emotional conflict.

METHODS

A total of 172 subjects diagnosed with major depressive disorder underwent functional magnetic resonance imaging while performing an Emotional Stroop Task. Two main contrasts were examined using whole brain voxel wise analyses: emotional reactivity and emotion regulation. We also evaluated the association of these contrasts with the four aforementioned anxiety factors.

RESULTS

During emotional reactivity, participants with higher immediate state anxiety showed potentiated activation in the rolandic operculum and insula, while individuals with higher levels of physiological/panic demonstrated decreased activation in the posterior cingulate. No significant results emerged for any of the four factors on emotion regulation. When re-analyzing these statistically-significant brain regions through analyses of a subsample with (n = 92) and without (n = 80) a current anxiety disorder, no significant associations occurred among those without an anxiety disorder. Among those with an anxiety disorder, results were similar to the full sample, except the posterior cingulate was associated with the neuroticism/worry factor.

CONCLUSIONS

Divergent patterns of task-related brain activation across four discrete anxiety factors could be used to inform treatment decisions and target specific aspects of anxiety that involve intrinsic processing to attenuate overactive responses to emotional stimuli.

The Concise Health Risk Tracking Self-Report (CHRT-SR) assessment of suicidality in depressed outpatients: A psychometric evaluation

BACKGROUND

The 12-item Concise Health Risk Tracking Self-Report (CHRT-SR₁₂ ) is a brief, self-report measure that systematically assesses both suicidal thinking and associated thoughts that may indicate the propensity for suicidal acts. It can be used as a tool to both assess risk and guide treatment interventions targeting associated cognitions.

METHODS

This report used acute treatment data from a clinically representative sample of outpatients with nonpsychotic major depressive disorder (N = 665) participating in the Combining Medications to Enhance Depression Outcomes trial, who received up to 12 weeks of escitalopram, escitalopram plus bupropion SR, or venlafaxine XR plus mirtazapine. Outcome assessors and patients were masked to treatment.

RESULTS

Factor analysis of CHRT-SR₁₂ confirmed that the 12 items have higher order structure with two subscales (Propensity, Suicidal Thoughts) and a total score. Internal consistencies were acceptable for both subscales and total score. All three scales were modestly correlated with overall depression severity (r = 0.54 to r = 0.21) and highly discriminating among patients grouped by suicide item ratings on three different depressive symptom ratings. The three scales also distinguished change over the acute phase treatment for those with different levels of baseline suicidal ideation (measured by 30-item Inventory of Depressive Symptomatology (item 18) and for those with change in suicidal ideation (baseline to last visit).

CONCLUSIONS

The CHRT-SR₁₂ has good to excellent psychometric properties and is sensitive to change in suicidal thinking and propensity toward suicidal behavior in outpatients with major depressive disorder. It allows for the monitoring of thoughts and feelings associated with increased suicidal risk as well as levels of thoughts about suicide.

Anxiety and anhedonia in depression: Associations with neuroticism and cognitive control

BACKGROUND

Despite the fact that higher levels of anxiety and anhedonia in Major Depressive Disorder (MDD) are linked to poorer treatment outcomes, mechanisms contributing to these clinical presentations remain unclear. Neuroticism, impaired cognitive control, and blunted reward learning may be critical processes involved in MDD and may help to explain symptoms of anxiety and anhedonia.

METHODS

Using baseline data from patients with early-onset MDD (N = 296) in the Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) trial, we conducted a path analysis to model relationships between neuroticism, cognitive control, and reward learning to levels of anxiety and anhedonia.

RESULTS

Neuroticism was positively associated with both anhedonia (standardized coefficient = 0.26, p < .001) and anxiety (standardized coefficient = 0.40, p < .001). Cognitive control was negatively associated with anxiety (standardized coefficient = -0.18, p < .05). Reward learning was not significantly associated with either anxiety or anhedonia.

LIMITATIONS

Extraneous variables not included in the model may have even more influence in explaining symptoms of anxiety and anhedonia. Restricted range in these variables may have attenuated some of the hypothesized relationships. Most important, because this was a cross-sectional analysis in a currently depressed sample, we cannot draw any causal conclusions without experimental and longitudinal data.

CONCLUSIONS

These cross-sectional findings suggest that neuroticism may contribute to anxiety and anhedonia in patients with early onset and either chronic or recurrent MDD, while enhanced cognitive control may protect against anxiety.

The Concise Health Risk Tracking-Self Report: Psychometrics within a placebo-controlled antidepressant trial among depressed outpatients

BACKGROUND/AIMS

While substantial prior research has evaluated the psychometric properties of the 12-item Concise Health Risk Tracking-Self Report (CHRT-SR₁₂), a measure of suicide propensity and suicidal thoughts, no prior research has investigated its factor structure, sensitivity to change over time, and other psychometric properties in a placebo-controlled trial of antidepressant medication, nor determined whether symptoms change throughout treatment.

METHODS

Participants in the multi-site Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care (EMBARC) study ( n=278) provided data to evaluate the factor structure and sensitivity to change over time of the CHRT-SR₁₂ through eight weeks of a clinical trial in which participants received either placebo or antidepressant medication (sertraline).

RESULTS/OUTCOMES

Factor analysis confirmed two factors: propensity (comprised of first-order factors including pessimism, helplessness, social support, and despair) and suicidal thoughts. Internal consistency (α's ranged from 0.69-0.92) and external validity were both acceptable, with the total score and propensity factor scores significantly correlated with total scores and single-item suicidal-thoughts scores on the self-report Quick Inventory of Depressive Symptoms and the clinician-rated 17-item Hamilton Rating Scale for Depression. Through analyzing CHRT-SR₁₂ changes over eight treatment weeks, the total score and both the factors decreased regardless of baseline suicidal thoughts. Change in clinician-rated suicidal thoughts was reflected by change in both the total score and propensity factor score.

CONCLUSIONS/INTERPRETATION

These results confirm the reliability, validity, and applicability of the CHRT-SR₁₂ to a placebo-controlled clinical trial of depressed outpatients receiving antidepressant medication.

The Promoting Activity in Cancer Survivors (PACES) trial: a multiphase optimization of strategy approach to increasing physical activity in breast cancer survivors

BACKGROUND

Despite the significant, empirically supported benefits of physical activity, the majority of breast cancer survivors do not meet recommended guidelines for physical activity. A variety of effective strategies to increase physical activity in breast cancer survivors have been identified. However, it is unknown which of these strategies is most effective or how these strategies might be combined to optimize intervention effectiveness.

METHODS

The proposed trial uses multiphase optimization strategy (MOST) to evaluate four evidence-based intervention strategies for increasing physical activity in breast cancer survivors. We will enroll 500 breast cancer survivors, age 18 and older, who are 3-months to 5 years post-treatment. Using a full-factorial design, participants will be randomized to receive a combination: 1) supervised exercise, 2) facility access, 3) self-monitoring, and 4) group-based active living counseling. The primary outcome, moderate-to-vigorous physical activity (MVPA) will be measured at baseline, 3 months, and 6 months using an Actigraph GT3X+. To evaluate intervention effects, a linear mixed-effects model will be conducted with MVPA as the outcome and with time (3 months and 6 months) as the within-subjects factor and intervention (i.e., supervised exercise, facility access, self-monitoring, and active living counseling) as the between subjects factor, along with all two-way interactions.

DISCUSSION

The purpose of the PACES study is to evaluate multiple strategies for increasing physical activity in breast cancer survivors. Results of this study will provide in an optimized intervention for increasing physical activity in breast cancer survivors.

TRIAL REGISTRATION

Clinicaltrials.gov Identifier: NCT03060941 . Registered February 23, 2017.

Characterizing anxiety subtypes and the relationship to behavioral phenotyping in major depression: Results from the EMBARC study

The current study aimed to characterize the multifaceted nature of anxiety in patients with major depression by evaluating distinct anxiety factors. We then related these derived anxiety factors to performance on a Flanker Task of cognitive control, in order to further validate these factors. Data were collected from 195 patients with nonpsychotic chronic or recurrent major depression or dysthymic disorder. At baseline, participants completed self-report measures of anxiety, depression, and other related symptoms (mania, suicidality) and clinicians administered a structured diagnostic interview and the Hamilton Rating Scale for Depression, including anxiety/somatization items. Four discrete factors (State Anxiety, Panic, Neuroticism/Worry, and Restlessness/Agitation) emerged, with high degrees of internal consistency. Discriminant and convergent validity analyses also yielded findings in the expected direction. Furthermore, the neuroticism/worry factor was associated with Flanker Task interference, such that individuals higher on neuroticism/worry responded more incorrectly (yet faster) to incongruent vs. congruent trials whereas individuals higher on the fear/panic factor responded more slowly, with no accuracy effect, to the Flanker Task stimuli. These results parse anxiety into four distinct factors that encompass physiological, psychological, and cognitive components of anxiety. While state anxiety, panic and neuroticism/worry are related to existing measures of anxiety, the Restlessness/Agitation factor appears to be a unique measure of general anxious arousal. Furthermore, two factors were independently validated through the Flanker Task. These results suggest that these anxiety domains have distinct behavioral profiles and could have differential responses to distinct treatments.

A psychometric evaluation of the Concise Health Risk Tracking Self-Report (CHRT-SR)- a measure of suicidality-in patients with stimulant use disorder

Stimulant use disorders are both common and associated with suicidal ideation and attempts. The psychometric properties of the 12-item Concise Health Risk Tracking Scale Self-Report (CHRT-SR), a measure that was created to assess suicidal thinking and several factors associated with a propensity to act, has been established in persons with mood disorders. This is a secondary analysis to assess the CHRT-SR in 302 stimulant abusing patients that had participated in a clinical trial. A confirmatory factor analysis (CFA) was conducted to assess the factor validity of the 12-item CHRT-SR model with a second-order Propensity factor. The CHRT-SR total score and 2 factor scores (Propensity and Suicidal Thoughts) demonstrated acceptable internal consistency and test-retest reliabilities. These two subscales and the total score were modestly but significantly associated with measures of depression and life satisfaction, demonstrating construct validity. Two additional items assessing Impulsivity were also analyzed, and demonstrated acceptable internal consistency, test-retest reliability, and construct validity. The CHRT-SR appears to be a reliable and valid tool to assess suicidality in persons with stimulant use disorder.

Adiponectin Moderates Antidepressant Treatment Outcome in the Combining Medications to Enhance Depression Outcomes Randomized Clinical Trial

Background

Major depressive disorder (MDD) is often comorbid with metabolic diseases such as obesity, cardiovascular disease, and type 2 diabetes. A potential link between these disorders is adiponectin, an adipocyte-derived circulating hormone with insulin-sensitizing, anti-inflammatory, and neuroplasticity effects. Reductions in plasma levels of adiponectin have been reported in both humans with depression and in the chronic-defeat mouse model of depression. However, the predictive value of adiponectin for treatment response to depression has not been determined.

Methods

We investigated the potential predictive effect of baseline adiponectin levels in patients who provided plasma and were undergoing one of three pharmacological treatments (escitalopram monotherapy; escitalopram plus bupropion; and venlafaxine plus mirtazapine) in the Combining Medications to Enhance Depression Outcomes clinical trial (n=160). Specifically, we assessed whether adiponectin moderates-that is, differentially predicts-treatment response among the treatment arms. Improvements with treatment were assessed using change in the clinician-rated 30-item Inventory of Depressive Symptomatology (IDS-C) from baseline through week 12. Moderator effects were tested using separate pairwise repeated measures mixed-effects models with a treatment-arm-by-adiponectin interaction.

Results

Baseline adiponectin levels moderated treatment outcome between two combination therapies. Specifically, low adiponectin predicted better response to escitalopram plus bupropion compared to venlafaxine plus mirtazapine, whereas high adiponectin predicted better response to venlafaxine plus mirtazapine compared to escitalopram plus bupropion (F=4.84, p=0.03). Adiponectin levels did not correlate with baseline depression severity (r=-0.03, p=.59).

Conclusions

Antidepressant selection for patients with MDD can be personalized using pre-treatment blood-based biomarkers, such as adiponectin, thereby improving treatment outcomes.

Accurately identifying patients who are excellent candidates or unsuitable for a medication: a novel approach

OBJECTIVE

The objective of the study was to determine whether a unique analytic approach - as a proof of concept - could identify individual depressed outpatients (using 30 baseline clinical and demographic variables) who are very likely (75% certain) to not benefit (NB) or to remit (R), accepting that without sufficient certainty, no prediction (NP) would be made.

METHODS

Patients from the Combining Medications to Enhance Depression Outcomes trial treated with escitalopram (S-CIT) + placebo (n=212) or S-CIT + bupropion-SR (n=206) were analyzed separately to assess replicability. For each treatment, the elastic net was used to identify subsets of predictive baseline measures for R and NB, separately. Two different equations that estimate the likelihood of remission and no benefit were developed for each patient. The ratio of these two numbers characterized likely outcomes for each patient.

RESULTS

The two treatment cells had comparable rates of remission (40%) and no benefit (22%). In S-CIT + bupropion-SR, 11 were predicted NB of which 82% were correct; 26 were predicted R - 85% correct (169 had NP). For S-CIT + placebo, 13 were predicted NB - 69% correct; 44 were predicted R - 75% correct (155 were NP). Overall, 94/418 (22%) patients were identified with a meaningful degree of certainty (69%-85% correct). Different variable sets with some overlap were predictive of remission and no benefit within and across treatments, despite comparable outcomes.

CONCLUSION

In two separate analyses with two different treatments, this analytic approach - which is also applicable to pretreatment laboratory tests - identified a meaningful proportion (over 20%) of depressed patients for whom a treatment outcome was predicted with sufficient certainty that the clinician can elect to strongly recommend for or choose to avoid a particular treatment. Different persons seem to be remitting or not benefiting with these two different treatments.

IMPROVEMENTS IN PSYCHOSOCIAL FUNCTIONING AND HEALTH-RELATED QUALITY OF LIFE FOLLOWING EXERCISE AUGMENTATION IN PATIENTS WITH TREATMENT RESPONSE BUT NONREMITTED MAJOR DEPRESSIVE DISORDER: RESULTS FROM THE TREAD STUDY

BACKGROUND

Functional impairments often remain despite symptomatic improvement with antidepressant treatment, supporting the need for novel treatment approaches. The present study examined the extent to which exercise augmentation improved several domains of psychosocial functioning and quality of life (QoL) among depressed participants.

METHODS

Data were collected from 122 partial responders to antidepressant medication. Participants were randomized to either high- (16 kcal/kg of weight/week [KKW]) or low-dose (4-KKW) exercise. Participants completed a combination of supervised and home-based exercise for 12 weeks. The Short-Form Health Survey, Work and Social Adjustment Scale, Social Adjustment Scale, Quality of Life Enjoyment and Satisfaction Questionnaire, and Satisfaction with Life Scale were collected at 6 and 12 weeks. Participants with data for at least one of the two follow-up time points (n = 106) were analyzed using a linear mixed model to assess change from baseline within groups and the difference between groups for each psychosocial outcome measure. All analyses controlled for covariates, including baseline depressive symptomatology.

RESULTS

Participants experienced significant improvements in functioning across tested domains, and generally fell within a healthy range of functioning on all measures at Weeks 6 and 12. Although no differences were found between exercise groups, improvements were observed across a variety of psychosocial and QoL domains, even in the low-dose exercise group.

CONCLUSIONS

These findings support exercise augmentation of antidepressant treatment as a viable intervention for treatment-resistant depression to improve function in addition to symptoms.

Affect Following First Exercise Session as a Predictor of Treatment Response in Depression

OBJECTIVE

Remission rates are low with first-step or even second-step antidepressant treatments. Furthermore, despite extensive investments from National Institutes of Health and from industry, novel treatments are not yet available in clinical care for depression. Predictors of treatment response very early in the course of treatment can avoid unnecessarily lengthy trials with ineffective treatments and reduce the trial and error process. This article examines the expression of positive affect immediately following an acute exercise session at the end of the first exercise session as a predictor of treatment response in the National Institute of Mental Health-funded TREAD (Treatment with Exercise Augmentation for Depression) study, which was conducted from April 2003 to August 2007.

METHODS

122 subjects with DSM-IV-diagnosed major depressive disorder were randomized to public health dose (16 kcal/kg/wk) or low dose (4 kcal/kg/wk) of exercise for 12 weeks. Affect following the first exercise session was assessed using the Positive and Negative Affect Scale (PANAS), and depressive symptoms were assessed weekly using the Inventory of Depressive Symptomatology, Clinician Rating (IDS-C) (primary outcome measure).

RESULTS

The PANAS composite affect score (positive-negative total) predicted change in IDS-C score (P < .05), as well as treatment response (P < .02) and remission (P < .03) for those in the high-dose group but not in the low-dose group.

CONCLUSIONS

These findings suggest that the composite positive affect following the first exercise session has clinical utility to predict treatment response to exercise in depression and match the "right patient" with the "right" treatment.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT00076258.

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

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.

Decision-making processes as predictors of relapse and subsequent use in stimulant-dependent patients

BACKGROUND

Decision-making processes have been posited to affect treatment outcome in addicted patients.

OBJECTIVE

The present multi-site study assessed whether two measures of decision-making predicted relapse and subsequent use in stimulant-dependent patients.

METHODS

A total of 160 methamphetamine- or cocaine-dependent patients participating in a multi-site clinical trial evaluating a modified 12-step facilitation intervention for stimulant-dependent patients (STAGE-12) were assessed. Decision-making processes of risk and delay (Iowa Gambling Task [IGT]) and response reversal (Wisconsin Card Sorting Task [WCST]) were obtained shortly after treatment admission followed by assessment of stimulant use over the next six months. The relationships of the IGT and WCST (Perseverative Errors) with relapse (yes/no) and days of stimulant use during the 6-month period following post-randomization were evaluated.

RESULTS

Performance on the IGT and WCST did not significantly predict relapse status or time to relapse. Unexpectedly, worse performance on the IGT was associated with a fewer number of stimulant use days (p = 0.001). In contrast, worse performance on the WCST (more perseverative errors) was associated with a greater number of stimulant use days (p = 0.0003). The predictive effects of perseverative errors on subsequent use were confined to methamphetamine-dependent and Minority participants.

CONCLUSIONS

Decision-making processes, as measured in the current study, do not uniformly predict relapse or subsequent use. A decrease in the salience attribution of non-drug reinforcers may explain the positive relationship between IGT performance and post-relapse use. More comprehensive and global measures of impulsiveness may better assess relapse risk and use.

A COMPREHENSIVE EXAMINATION OF WHITE MATTER TRACTS AND CONNECTOMETRY IN MAJOR DEPRESSIVE DISORDER

BACKGROUND

Major depressive disorder (MDD) is a debilitating disorder characterized by widespread brain abnormalities. The literature is mixed as to whether or not white matter abnormalities are associated with MDD. This study sought to examine fractional anisotropy (FA) in white matter tracts in individuals with MDD using diffusion tensor imaging (DTI).

METHODS

139 participants with MDD and 39 healthy controls (HC) in a multisite study were included. DTI scans were acquired in 64 directions and FA was determined in the brain using four methods: region of interest (ROI), tract-based spatial statistics (TBSS), and diffusion tractography. Diffusion connectometry was used to identify white matter pathways associated with MDD.

RESULTS

There were no significant differences when comparing FA in MDD and HC groups using any method. In the MDD group, there was a significant relationship between depression severity and FA in the right medial orbitofrontal cortex, and between age of onset of MDD and FA in the right caudal anterior cingulate cortex using the ROI method. There was a significant relationship between age of onset and connectivity in the thalamocortical radiation, inferior longitudinal fasciculus, and cerebellar tracts using diffusion connectometry.

CONCLUSIONS

The lack of group differences in FA and connectometry analysis may result from the clinically heterogenous nature of MDD. However, the relationship between FA and depression severity may suggest a state biomarker of depression that should be investigated as a potential indicator of response. Age of onset may also be a significant clinical feature to pursue when studying white matter tracts.

A Randomized, Double-Blind, Placebo-Controlled Trial of Citicoline for Cocaine Dependence in Bipolar I Disorder

OBJECTIVE

Although drug dependence is common in patients with bipolar disorder, minimal data are available on the treatment of drug dependence in this patient population. The authors previously reported a decreased risk of relapse to cocaine use in a pilot study of citicoline in patients with bipolar disorder and cocaine dependence. The primary aim of the present study was to determine whether citicoline reduces cocaine use in outpatients with bipolar I disorder and current cocaine dependence and active cocaine use.

METHOD

A total of 130 outpatients with bipolar I disorder (depressed or mixed mood state) and cocaine dependence received citicoline or placebo add-on therapy for 12 weeks. Results of thrice-weekly urine drug screens were analyzed using a generalized linear mixed model that was fitted to the binary outcome of cocaine-positive screens at each measurement occasion for 12 weeks. Mood was assessed with the Inventory of Depressive Symptomatology-Self Report, the Hamilton Depression Rating Scale, and the Young Mania Rating Scale.

RESULTS

In the intent-to-treat sample (N=61 in both groups), significant treatment group and group-by-time effects were observed, whether or not missing urine screens were imputed as cocaine positive. The group effect was greatest early in the study and tended to decline with time. No between-group differences in mood symptoms or side effects were observed.

CONCLUSIONS

Citicoline was well tolerated for treatment of cocaine dependence in patients with bipolar disorder. Cocaine use was significantly reduced with citicoline initially, although treatment effects diminished over time, suggesting the need for augmentation strategies to optimize long-term benefit.

A randomized, double-blind, placebo-controlled trial of quetiapine in patients with bipolar disorder, mixed or depressed phase, and alcohol dependence

BACKGROUND

Alcohol dependence is common in bipolar disorder (BPD) and associated with treatment nonadherence, violence, and hospitalization. Quetiapine is a standard treatment for BPD. We previously reported improvement in depressive symptoms, but not alcohol use, with quetiapine in BPD and alcohol dependence. However, mean alcohol use was low and a larger effect size on alcohol-related measures was observed in those with higher levels of alcohol consumption. In this study, efficacy of quetiapine in patients with BPD and alcohol dependence was examined in patients with higher mean baseline alcohol use than in the prior study.

METHODS

Ninety outpatients with bipolar I or II disorders, depressed or mixed mood state, and current alcohol dependence were randomized to 12 weeks of sustained release quetiapine (to 600 mg/d) add-on therapy or placebo. Drinking was quantified using the Timeline Follow Back method. Additional assessment tools included the Hamilton Rating Scale for Depression, Inventory of Depressive Symptomatology-Self-Report, Young Mania Rating Scale, Penn Alcohol Craving Scale, liver enzymes, and side effects. Alcohol use and mood were analyzed using a declining-effects random-regression model.

RESULTS

Baseline and demographic characteristics in the 2 groups were similar. No significant between-group differences were observed on the primary outcome measure of drinks per day or other alcohol-related or mood measures (p > 0.05). Overall side effect burden, glucose, and cholesterol were similar in the 2 groups. However, a significant weight increase was observed with quetiapine at week 6 (+2.9 lbs [SE 1.4] quetiapine vs. -2.0 lbs [SE 1.4], p = 0.03), but not at week 12. Scores on the Barnes Akathisia Scale increased significantly more (p = 0.04) with quetiapine (+0.40 [SE 0.3]) than placebo (-0.52 [SE 0.3]) at week 6 but not week 12. Retention (survival) in the study was similar in the groups.

CONCLUSIONS

Findings suggest that quetiapine does not reduce alcohol consumption in patients with BPD and alcohol dependence.

Pro-inflammatory cytokines as predictors of antidepressant effects of exercise in major depressive disorder

Exercise is an efficacious treatment for major depressive disorder (MDD) and has independently been shown to have anti-inflammatory effects in non-depressed subjects. Patients with MDD have elevated inflammatory cytokines but it is not known if exercise affects inflammation in MDD patients and whether these changes are clinically relevant. In the TReatment with Exercise Augmentation for Depression (TREAD) study, participants who were partial responders to a selective serotonin reuptake inhibitor were randomized to receive one of two doses of exercise: 16 kilocalories per kilogram of body weight per week (KKW), or 4 KKW for 12 weeks. Blood samples were collected before initiation and again at the end of the 12-week exercise intervention. Serum was analyzed using a multiplexed ELISA for interferon-γ (IFN-γ), interleukin-1β (IL-1β), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). Higher baseline levels of TNF-α were associated with greater decrease in depression symptoms over the 12-week exercise period (P<0.0001). In addition, a significant positive correlation between change in IL-1β and change in depression symptom scores was observed (P=0.04). There were no significant changes in mean level of any cytokine following the 12-week intervention, and no significant relationship between exercise dose and change in mean cytokine level. Results suggest that high TNF-α may differentially predict better outcomes with exercise treatment as opposed to antidepressant medications for which high TNF-α is linked to poor response. Our results also confirm findings from studies of antidepressant medications that tie decreasing IL-1β to positive depression treatment outcomes.

A randomized, placebo-controlled proof-of-concept, crossover trial of phenytoin for hydrocortisone-induced declarative memory changes

BACKGROUND

Corticosteroid excess is associated with declarative memory impairment and hippocampal atrophy. These findings are clinically important because approximately 1% of the population receives prescription corticosteroids at any time, and major depressive disorder is associated with elevated cortisol levels and hippocampal atrophy. In animals, hippocampal changes with corticosteroids are blocked by phenytoin. The objective of the current study was to extend these preclinical findings to humans. We examined whether phenytoin attenuated the effects of hydrocortisone on declarative memory. Functional magnetic resonance imaging (fMRI) assessed task-related hippocampal activation.

METHODS

A randomized, double-blind, placebo-controlled, within-subject crossover study was conducted in 17 healthy adult volunteers. Participants received hydrocortisone (2.5 days), phenytoin (3.5 days), both medications together, or placebo, with 21-day washouts between conditions. Differences between treatments were estimated using a mixed-effects repeated measures analysis.

RESULTS

Fifteen participants had data from at least two treatment conditions and were used in the analysis. Basal cortisol levels negatively correlated with fMRI BOLD activation in the para-hippocampus with a similar trend observed in the hippocampus. Decrease in declarative memory with hydrocortisone was blocked with concomitant phenytoin administration. Relative to the placebo condition, a significant decrease in hippocampal BOLD activation was observed with hydrocortisone and phenytoin alone, and the two medications in combination. Declarative memory did not show significant correlations with hippocampal activation.

LIMITATIONS

The modest sample size, which limited our statistical power, was a limitation.

CONCLUSIONS

Findings from this pilot study suggest phenytoin attenuated effects of corticosteroids memory in humans, but potentiated the reduction in hippocampal activation.

Does exercise improve self-reported sleep quality in non-remitted major depressive disorder?

BACKGROUND

Sleep disturbances are persistent residual symptoms following remission of major depressive disorder (MDD) and are associated with an increased risk of MDD recurrence. The purpose of the current study was to examine the effect of exercise augmentation on self-reported sleep quality in participants with non-remitted MDD. Method Participants were randomized to receive selective serotonin reuptake inhibitor (SSRI) augmentation with one of two doses of exercise: 16 kilocalories per kilogram of body weight per week (KKW) or 4 KKW for 12 weeks. Depressive symptoms were assessed using the clinician-rated Inventory of Depressive Symptomatology (IDS-C). The four sleep-related items on the IDS-C (Sleep Onset Insomnia, Mid-Nocturnal Insomnia, Early Morning Insomnia, and Hypersomnia) were used to assess self-reported sleep quality.

RESULTS

Significant decreases in total insomnia (p < 0.0001) were observed, along with decreases in sleep onset, mid-nocturnal and early-morning insomnia (p's <0.002). Hypersomnia did not change significantly (p = 0.38). Changes in total, mid-nocturnal and early-morning insomnia were independent of changes in depressive symptoms. Higher baseline hypersomnia predicted a greater decrease in depression severity following exercise treatment (p = 0.0057). No significant moderating effect of any baseline sleep on change in depression severity was observed. There were no significant differences between exercise treatment groups on total insomnia or any individual sleep item.

CONCLUSIONS

Exercise augmentation resulted in improvements in self-reported sleep quality in patients with non-remitted MDD. Given the prevalence of insomnia as a residual symptom following MDD treatment and the associated risk of MDD recurrence, exercise augmentation may have an important role in the treatment of MDD.

Escitalopram for severe asthma and major depressive disorder: a randomized, double-blind, placebo-controlled proof-of-concept study

BACKGROUND

Depression is common in asthma and may be a risk factor for asthma-related morbidity and mortality. However, minimal data are available on depression treatment in asthma. Previously, we reported greater sustained depression remission and less oral corticosteroid use in asthma patients treated with citalopram.

METHOD

A 12-week randomized, double-blind, placebo-controlled, proof-of-concept trial of escitalopram was conducted in 26 outpatients with asthma requiring at least one course of oral corticosteroids in the prior 12 months and major depressive disorder (MDD) with baseline Hamilton Rating Scale for Depression (HAM-D) scores of ≥ 20.

RESULTS

Total evaluable sample (n = 25) showed significant baseline to exit reduction in HAM-D and Inventory of Depressive Symptomatology-Self Report (IDS-SR) scores, with no significant between-group differences, although the findings favored escitalopram. Depression remission on the HAM-D, from week 1 to exit, showed a trend (P = 0.06) favoring escitalopram. Relative risk for remission at week 12 was 6.5 with an estimated remission rate of 39.1% with escitalopram and 6.0% with placebo. Between-group differences in oral corticosteroid use were not significant. Changes in Asthma Control Questionnaire (ACQ) correlated significantly with changes in IDS-SR in the escitalopram, placebo, and combined sample groups (τ = 0.49-0.60, P < 0.05) and with changes in HAM-D only in placebo and combined groups (τ = 0.38-0.58, P < 0.05).

CONCLUSIONS

Medium effect sizes and a remission trend were observed favoring escitalopram over placebo on depression measures. Changes in self-reported depressive symptoms correlated with changes in asthma symptoms. A larger trial is needed to confirm the findings from this pilot study.

Cognitive endophenotypes of psychosis within dimension and diagnosis

This study sought to characterize the psychosis phenotype, contrasting cognitive features within traditional diagnosis and psychosis dimension in a family sample containing both schizophrenia and psychotic bipolar I disorder. Seventy-six probands with psychosis [44 probands with schizophrenia, 32 probands with psychotic bipolar I disorder] and 55 first-degree relatives [30 relatives of schizophrenia probands, 25 relatives of bipolar probands] were recruited. Standardized clinical and neuropsychological measures were administered. No differences in cognitive performance emerged between probands with schizophrenia and probands with psychotic bipolar disorder, or between relatives of probands with schizophrenia and relatives of probands with bipolar disorder in the domains of working and declarative memory, executive function and attention. Relatives overall showed higher cognitive performance compared to probands, as expected. However, when we segmented the probands and relatives along a psychosis dimension, independent of diagnostic groups, results revealed lower cognitive performance in probands compared to relatives without psychosis spectrum disorders, whereas relatives with psychosis spectrum disorders showed an intermediate level of performance across all cognitive domains. In this study, cognitive performance did not distinguish either probands or their first-degree relatives within traditional diagnostic groups (schizophrenia and psychotic bipolar disorder), but distinguished probands and relatives with and without lifetime psychosis manifestations independent of diagnostic categories. These data support the notion that schizophrenia and psychotic bipolar disorder present a clinical continuum with overlapping cognitive features defining the psychosis phenotype.

Effects of serum Brain Derived Neurotrophic Factor on exercise augmentation treatment of depression

BACKGROUND

Brain Derived Neurotrophic Factor (BDNF) has potential as a biomarker of depression treatment because serum BDNF in depressed human subjects is decreased and normalizes with treatment. The relationship between serum BDNF and exercise treatment of depression is not known. The Treatment with Exercise Augmentation for Depression (TREAD) study examined dosed exercise augmentation treatment of partial responders to antidepressants. Serum BDNF in TREAD subjects was analyzed to understand its relationship with exercise training.

METHODS

Subjects were randomized to high (16 kcal/kg/week or KKW) or low (4 KKW) energy expenditure exercise over 12 weeks. Actual kcal/week expended and IDS-C scores were collected weekly. One hundred four subjects in TREAD provided baseline blood samples; a subset of 70 subjects also provided week 12 samples. Serum BDNF was determined using ELISA. Correlations were examined between change in BDNF and 1) mean kcal/week expended, and 2) change in IDS-C score. Mixed-effects ANOVA examined the effect of baseline BDNF on outcome.

RESULTS

Resting serum BDNF was stable and did not correlate with energy expenditure (p = 0.15) or IDS-C improvement (p = 0.89). Subjects entering the study with higher BDNF improved more rapidly on the IDS-C (p = 0.003).

LIMITATIONS

Serum may not be the most sensitive blood fraction in which to measure BDNF change. Pre-treatment with medication may mask exercise effect on BDNF.

CONCLUSIONS

These results suggest that change in serum BDNF does not reflect efficacy of exercise augmentation treatment of MDD. Instead BDNF may function as an augmentation moderator. Pre-treatments that raise BDNF may improve the efficacy of exercise treatment of MDD.

Exercise as an augmentation treatment for nonremitted major depressive disorder: a randomized, parallel dose comparison

OBJECTIVE

Most patients with major depressive disorder (MDD) require second-step treatments to achieve remission. The Treatment with Exercise Augmentation for Depression (TREAD) study was designed to test the efficacy of aerobic exercise as an augmentation treatment for MDD patients who had not remitted with antidepressant treatment.

METHOD

Eligible participants in this randomized controlled trial were sedentary individuals (men and women aged 18-70 years) diagnosed with DSM-IV nonpsychotic MDD who had not remitted with selective serotonin reuptake inhibitor (SSRI) treatment. Participants were recruited through physician referrals and advertisements. A total of 126 participants were randomized to augmentation treatment with either 16 kcal per kg per week (KKW) or 4 KKW of exercise expenditure for 12 weeks while SSRI treatment was held constant. Supervised sessions were conducted at The Cooper Institute, Dallas, Texas, with additional home-based sessions as needed to fulfill the weekly exercise prescription. The primary outcome was remission (as determined by a score ≤ 12 on the Inventory of Depressive Symptomatology, Clinician-Rated). The study took place between August 2003 and August 2007.

RESULTS

There were significant improvements over time for both groups combined (F₁,₁₂₁ = 39.9, P < .0001), without differential group effect (group effect: F₁,₁₃₄ = 3.2, P = .07; group-by-time effect: F₁,₁₁₉ = 3.8, P = .06). Adjusted remission rates at week 12 were 28.3% versus 15.5% for the 16-KKW and 4-KKW groups, respectively, leading to a number needed to treat (NNT) of 7.8 for 16 KKW versus 4 KKW. Men, regardless of family history of mental illness, and women without a family history of mental illness had higher remission rates by week 12 with higher-dose (women, 39.0%; men, 85.4%) than with lower-dose exercise (women, 5.6%; men, 0.1%) (women: t₉₅ = 2.1, P = .04; men: t₈₈ = 5.4, P < .0001) (NNT: women, 3.0; men, 1.2).

CONCLUSIONS

There was a trend for higher remission rates in the higher-dose exercise group (P < .06), with a clinically meaningful NNT of 7.8 in favor of the high exercise dose. Significant differences between groups were found when the moderating effects of gender and family history of mental illness were taken into account and suggest that higher-dose exercise may be better for all men and for women without a family history of mental illness.

TRIAL REGISTRATION

clinicaltrials.gov Identifier: NCT00076258.

Diagnostic utility of the Quick Inventory of Depressive Symptomatology (QIDS-C16 and QIDS-SR16) in the elderly

OBJECTIVE

To evaluate psychometric properties and comparability ability of the Montgomery-Asberg Depression Rating Scale (MADRS) vs. the Quick Inventory of Depressive Symptomatology-Clinician-rated (QIDS-C(16)) and Self-report (QIDS-SR(16)) scales to detect a current major depressive episode in the elderly.

METHOD

Community and clinic subjects (age >or=60 years) were administered the Mini-International Neuropsychiatric Interview (MINI) for DSM-IV and three depression scales randomly. Statistics included classical test and Samejima item response theories, factor analyzes, and receiver operating characteristic methods.

RESULTS

In 229 elderly patients (mean age = 73 years, 39% male, 54% current depression), all three scales were unidimensional and with nearly equal Cronbach alpha reliability (0.85-0.89). Each scale discriminated persons with major depression from the non-depressed, but the QIDS-C(16) was slightly more accurate.

CONCLUSION

All three tests are valid for detecting geriatric major depression with the QIDS-C(16) being slightly better. Self-rated QIDS-SR(16) is recommended as a screening tool as it is least expensive and least time consuming.

Pregnenolone for cognition and mood in dual diagnosis patients

Mood and substance-use disorders are both associated with cognitive deficits. Patients with mood and substance-use disorders have poorer cognition than patients with only a mood disorder. Pregnenolone may have beneficial effects on mood and cognition. In a proof-of-concept investigation, 70 participants with bipolar disorder or recurrent major depressive disorder and history of substance abuse/dependence (abstinent for > or =14days prior to enrollment) were randomly assigned to receive pregnenolone (titrated to 100mg/day) or placebo for 8weeks. Participants were assessed using the Mini International Neuropsychiatric Interview, Hamilton Rating Scale for Depression (HRSD), Young Mania Rating Scale (YMRS), Rey Auditory Verbal Learning Test (RAVLT), Trail Making Test (TMT-B), and Stroop Test. Mood was assessed bi-weekly, while cognition was evaluated at baseline, and weeks 4 and 8. Groups were compared using a random regression analysis that used all of the available data. The pregnenolone group showed trends toward greater improvement, relative to placebo, on the HRSD and YMRS. A post hoc analysis of completers found a statistically significant reduction in HRSD scores with pregnenolone as compared to placebo. Pregnenolone appeared to be safe and well tolerated. Findings suggest that pregnenolone use may be associated with some improvement in manic and depressive symptoms, but not cognition in depressed patients with a history of substance use. Larger trials examining the impact of pregnenolone on mood in more narrowly defined populations may be warranted.

Anticipated Benefits of Care (ABC): psychometrics and predictive value in psychiatric disorders

BACKGROUND

Attitudes and expectations about treatment have been associated with symptomatic outcomes, adherence and utilization in patients with psychiatric disorders. No measure of patients' anticipated benefits of treatment on domains of everyday functioning has previously been available.

METHOD

The Anticipated Benefits of Care (ABC) is a new, 10-item questionnaire used to measure patient expectations about the impact of treatment on domains of everyday functioning. The ABC was collected at baseline in adult out-patients with major depressive disorder (MDD) (n=528), bipolar disorder (n=395) and schizophrenia (n=447) in the Texas Medication Algorithm Project (TMAP). Psychometric properties of the ABC were assessed, and the association of ABC scores with treatment response at 3 months was evaluated.

RESULTS

Evaluation of the ABC's internal consistency yielded Cronbach's alpha of 0.90-0.92 for patients across disorders. Factor analysis showed that the ABC was unidimensional for all patients and for patients with each disorder. For patients with MDD, lower anticipated benefits of treatment was associated with less symptom improvement and lower odds of treatment response [odds ratio (OR) 0.72, 95% confidence interval (CI) 0.57-0.87, p=0.0011]. There was no association between ABC and symptom improvement or treatment response for patients with bipolar disorder or schizophrenia, possibly because these patients had modest benefits with treatment.

CONCLUSIONS

The ABC is the first self-report that measures patient expectations about the benefits of treatment on everyday functioning, filling an important gap in available assessments of attitudes and expectations about treatment. The ABC is simple, easy to use, and has acceptable psychometric properties for use in research or clinical settings.

Dyadic discord at baseline is associated with lack of remission in the acute treatment of chronic depression

BACKGROUND

Dyadic discord, while common in depression, has not been specifically evaluated as an outcome predictor in chronic major depressive disorder. This study investigated pretreatment dyadic discord as a predictor of non-remission and its relationship to depressive symptom change during acute treatment for chronic depression.

METHOD

Out-patients with chronic depression were randomized to 12 weeks of treatment with nefazodone, the Cognitive Behavioral Analysis System of Psychotherapy or their combination. Measures included the Marital Adjustment Scale (MAS) and the Inventory of Depressive Symptomatology - Self Report (IDS-SR30). Of 681 original patients, 316 were partnered and 171 of these completed a baseline and exit MAS, and at least one post-baseline IDS-SR30. MAS scores were analysed as continuous and categorical variables ('dyadic discord' v. 'no dyadic discord' defined as an MAS score >2.36. Remission was defined as an IDS-SR30 of 14 at exit (equivalent to a 17-item Hamilton Rating Scale for Depression of 7).

RESULTS

Patients with dyadic discord at baseline had lower remission rates (34.1%) than those without dyadic discord (61.2%) (all three treatment groups) (chi2=12.6, df=1, p=0.0004). MAS scores improved significantly with each of the treatments, although the change was reduced by controlling for improvement in depression. Depression remission at exit was associated with less dyadic discord at exit than non-remission for all three groups [for total sample, 1.8 v. 2.4, t(169)=7.3, p<0.0001].

CONCLUSIONS

Dyadic discord in chronically depressed patients is predictive of a lower likelihood of remission of depression. Couple therapy for those with dyadic discord may increase remission rates.

A randomized, double-blind, placebo-controlled pilot study of naltrexone in outpatients with bipolar disorder and alcohol dependence

BACKGROUND

Alcohol dependence is extremely common in patients with bipolar disorder and is associated with unfavorable outcomes including treatment nonadherence, violence, increased hospitalization, and decreased quality of life. While naltrexone is a standard treatment for alcohol dependence, no controlled trials have examined its use in patients with co-morbid bipolar disorder and alcohol dependence. In this pilot study, the efficacy of naltrexone in reducing alcohol use and on mood symptoms was assessed in bipolar disorder and alcohol dependence.

METHODS

Fifty adult outpatients with bipolar I or II disorders and current alcohol dependence with active alcohol use were randomized to 12 weeks of naltrexone (50 mg/d) add-on therapy or placebo. Both groups received manual-driven cognitive behavioral therapy designed for patients with bipolar disorder and substance-use disorders. Drinking days and heavy drinking days, alcohol craving, liver enzymes, and manic and depressed mood symptoms were assessed.

RESULTS

The 2 groups were similar in baseline and demographic characteristics. Naltrexone showed trends (p < 0.10) toward a greater decrease in drinking days (binary outcome), alcohol craving, and some liver enzyme levels than placebo. Side effects were similar in the 2 groups. Response to naltrexone was significantly related to medication adherence.

CONCLUSIONS

Results suggest the potential value and acceptable tolerability of naltrexone for alcohol dependence in bipolar disorder patients. A larger trial is needed to establish efficacy.

A psychometric evaluation of the clinician-rated Quick Inventory of Depressive Symptomatology (QIDS-C16) in patients with bipolar disorder

The clinician-rated, 16-item Quick Inventory of Depressive Symptomatology (QIDS-C16) has been extensively evaluated in patients with major depressive disorder (MDD). This report assesses the psychometric properties of the QIDS-C16 in outpatients with bipolar disorder (BD, N = 405) and MDD (N = 547) and in bipolar patients in the depressed phase only (BD-D) (N = 99) enrolled in the Texas Medication Algorithm Project (TMAP) using classical test theory (CTT) and the Samejima graded item response theory (IRT) model. Values of coefficient alpha were very similar in BD, MDD, and BD-D groups at baseline (alpha = 0.80-0.81) and at exit (alpha = 0.82-0.85). The QIDS-C16 was unidimensional for all three groups. MDD and BD-D patients (n = 99) had comparable symptom levels. The BD-D patients (n = 99) had the most, and bipolar patients in the manic phase had the least depressive symptoms at baseline. IRT analyses indicated that the QIDS-C16 was most sensitive to the measurement of depression for both MDD patients and for BD-D patients in the average range. The QIDS-C16 is suitable for use with patients with BD and can be used as an outcome measure in trials enrolling both BD and MDD patients.

The Quick Inventory of Depressive Symptomatology-Self-report: a psychometric evaluation in patients with asthma and major depressive disorder

BACKGROUND

Despite the high co-occurrence between depression and asthma, few studies have addressed methods assessing the severity of depressive symptoms among patients with asthma.

OBJECTIVE

To evaluate the psychometric properties of the Quick Inventory of Depressive Symptomatology-Self-report (QIDS-SR16), a 16-item measure of depressive symptom severity, in patients with asthma.

METHODS

The psychometric properties of the QIDS-SR16 were compared at treatment exit with those of the 30-item self-report Inventory of Depressive Symptomatology (IDS-SR30) and the 17-item clinician-rated Hamilton Rating Scale for Depression (HRSD17) in 73 outpatients with asthma who were treated with citalopram or placebo for nonpsychotic major depressive disorder. Correlations between the depression rating scales and the Mini Asthma Quality of Life Questionnaire were calculated.

RESULTS

Internal consistency at exit was strong for the QIDS-SR16 (Cronbach alpha values are .87 for the QIDS-SR16, .95 for the IDS-SR30, and .87 for the HRSD17). The QIDS-SR16 and HRSD17 total scores were highly correlated (r = 0.85), as were the QIDS-SR16 and IDS-SR30 total scores (r = 0.97). All QIDS-SR16 item total score correlations were significant (P < .001). The QIDS-SR16, IDS-SR30, and HRSD17 showed comparable sensitivity to symptom change, indicating high concurrent validity for all 3 scales. The total QIDS-SR16 baseline to exit change score demonstrated a significant negative correlation (r = -0.49, P < .001) with the Mini Asthma Quality of Life Questionnaire. Thus, greater depressive symptom severity was associated with lower asthma-related quality of life.

CONCLUSIONS

The QIDS-SR16 showed good reliability and impressive construct validity. Strong psychometric properties of this brief self-report format and its sensitivity to treatment change suggest that the QIDS-SR16 is a valuable clinical tool.

A randomized, double-blind, placebo-controlled add-on trial of quetiapine in outpatients with bipolar disorder and alcohol use disorders

OBJECTIVE

Alcohol dependence is extremely common in patients with bipolar disorder, and it is associated with unfavorable outcomes, including treatment nonadherence, violence, and cognitive impairment. However, few treatment trials have been conducted in this population. Quetiapine is an atypical antipsychotic medication that is used to treat the mood symptoms of bipolar disorder. In this study, the efficacy of quetiapine in reducing alcohol use and improving mood symptoms was assessed in patients with bipolar disorder and alcohol abuse or dependence.

METHOD

One hundred fifteen outpatients with bipolar disorder and alcohol abuse or dependence were randomly assigned to 12 weeks of quetiapine (titrated to 600 mg/day) add-on therapy or placebo. Alcohol use and mood were assessed. The study was conducted from November 2002 to September 2005.

RESULTS

One hundred two participants (49% with bipolar I disorder, 82% depressed, and 97% with alcohol dependence) returned for at least 1 postbaseline assessment and were used in the random regression analysis. No statistically significant between-group differences were found on alcohol use measures or the Young Mania Rating Scale. However, based on a random regression analysis, scores on the Hamilton Rating Scale for Depression (HAM-D) decreased statistically significantly more in the quetiapine than in the placebo group during the trial (p < .05). The between-group difference was largely due to differences in HAM-D scores during the first 6 weeks of the trial, with the placebo group showing greater improvement during the second half of the trial.

CONCLUSIONS

Quetiapine therapy was associated with a statistically significant decrease in depressive symptoms, but not alcohol use, in patients with bipolar disorder and alcohol dependence (p < .05).

Symptom features of postpartum depression: are they distinct?

The clinical features of postpartum depression and depression occurring outside of the postpartum period have rarely been compared. The 16-item Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR(16)) provides a means to assess core depressive symptoms. Item response theory and classical test theory analyses were conducted to examine differences between postpartum (n=95) and nonpostpartum (n=50) women using the QIDS-SR(16). The two groups of females were matched on the basis of age. All met DSM-IV criteria for nonpsychotic major depressive disorder. Low energy level and restlessness/agitation were major characteristics of depression in both groups. The nonpostpartum group reported more sad mood, more suicidal ideation, and more reduced interest. In contrast, for postpartum depression sad mood was less prominent, while psychomotor symptoms (restlessness/agitation) and impaired concentration/decision-making were most prominent. These symptomatic differences between postpartum and other depressives suggest the need to include agitation/restlessness and impaired concentration/decision-making among screening questions for postpartum depression.

A psychometric evaluation of the CDRS and MADRS in assessing depressive symptoms in children

OBJECTIVE

This study compared the psychometric properties of the Children's Depression Rating Scale-Revised (CDRS-R) and the Montgomery-Asberg Depression Rating Scale (MADRS) in children with major depressive disorder.

METHOD

Children (N = 96; ages 8 to 11 years inclusive) with nonpsychotic major depressive disorder were enrolled. Participants were part of a multisite, outpatient, randomized, placebo-controlled, 9-week trial of fluoxetine (10 mg/day for the first week and 20 mg/day thereafter). The CDRS-R and MADRS were completed based on clinician interviews with both parents and children. Classic test theory and item response theory analyses were conducted.

RESULTS

The MADRS and CDRS-R total scores were correlated at baseline (r = 0.51) and at study exit (r = 0.85). Cronbach's alpha was .86 (CDRS-R) and .82 (MADRS) at exit. The effect sizes for change from baseline to exit between the fluoxetine and placebo groups were 0.78 (CDRS-R) and 0.61 (MADRS). There was agreement between the CDRS-R and MADRS in the declaration of treatment response (50% improvement from baseline to exit) in 84.2% of children. Test information function favored the CDRS-R.

CONCLUSIONS

The CDRS-R showed greater effect size for differentiating drug and placebo and better test information than the MADRS in this study of depressed children.

Clinical vs. self-report versions of the quick inventory of depressive symptomatology in a public sector sample

OBJECTIVES

Recent work using classical test theory (CTT) and item response theory (IRT) has found that the self-report (QIDS-SR(16)) and clinician-rated (QIDS-C(16)) versions of the 16-item quick inventory of depressive symptomatology were generally comparable in outpatients with nonpsychotic major depressive disorder (MDD). This report extends this comparison to a less well-educated, more treatment-resistant sample that included more ethnic/racial minorities using IRT and selected classical test analyses.

METHODS

The QIDS-SR(16) and QIDS-C(16) were obtained in a sample of 441 outpatients with nonpsychotic MDD seen in the public sector in the Texas Medication Algorithm Project (TMAP). The Samejima graded response IRT model was used to compare the QIDS-SR(16) and QIDS-C(16).

RESULTS

The nine symptom domains in the QIDS-SR(16) and QIDS-C(16) related well to overall depression. The slopes of the item response functions, a, which index the strength of relationship between overall depression and each symptom, were extremely similar with the two measures. Likewise, the CTT and IRT indices of symptom frequency (item means and locations of the item response functions, b(i) were also similar with these two measures. For example, sad mood and difficulty with concentration/decision making were highly related to the overall depression severity with both the QIDS-C(16) and QIDS-SR(16). Likewise, sleeping difficulties were commonly reported, even though they were not as strongly related to overall magnitude of depression.

CONCLUSION

In this less educated, socially disadvantaged sample, differences between the QIDS-C(16) and QIDS-SR(16) were minor. The QIDS-SR(16) is a satisfactory substitute for the more time-consuming QIDS-C(16) in a broad range of adult, nonpsychotic, depressed outpatients.

The Montgomery Asberg and the Hamilton ratings of depression: a comparison of measures

The 17-item Hamilton Rating Scale for Depression (HRSD(17)) and the Montgomery Asberg Depression Rating Scale (MADRS) are two widely used clinician-rated symptom scales. A 6-item version of the HRSD (HRSD(6)) was created by Bech to address the psychometric limitations of the HRSD(17). The psychometric properties of these measures were compared using classical test theory (CTT) and item response theory (IRT) methods. IRT methods were used to equate total scores on any two scales. Data from two distinctly different outpatient studies of nonpsychotic major depression: a 12-month study of highly treatment-resistant patients (n=233) and an 8-week acute phase drug treatment trial (n=985) were used for robustness of results. MADRS and HRSD(6) items generally contributed more to the measurement of depression than HRSD(17) items as shown by higher item-total correlations and higher IRT slope parameters. The MADRS and HRSD(6) were unifactorial while the HRSD(17) contained 2 factors. The MADRS showed about twice the precision in estimating depression as either the HRSD(17) or HRSD(6) for average severity of depression. An HRSD(17) of 7 corresponded to an 8 or 9 on the MADRS and 4 on the HRSD(6). The MADRS would be superior to the HRSD(17) in the conduct of clinical trials.

Making clinicians lives easier: guidance on use of the QIDS self-report in place of the MADRS

BACKGROUND

The ability to convert total scores from one scale to another facilitates the interpretation of research findings and facilitates the use of systematic measurement in clinical practice.

METHODS

Item Response Theory methods were used to convert total scores between the 16-item Quick Inventory of Depressive Symptomatology (QIDS-SR16) and the Montgomery Asberg Depression Rating Scale (MADRS) total scores. Data were obtained from a sample of 233 outpatients with highly treatment-resistant, nonpsychotic major depressive episodes participating in a one-year open label study of vagus nerve stimulation to augment psychotropic medication treatment.

RESULTS

MADRS total scores averaged 31.9 (SD = 6.7) at baseline and 21.9 (SD = 11.0) at one year. QIDS-SR16 total scores averaged 17.6 (SD = 3.6) at baseline and 12.5 (SD = 5.8) at one year. Based on one-year data (or exit if the patient did not complete one year), corresponding QIDS-SR16 and MADRS total scores were presented for each possible QIDS-SR16 and MADRS total score. A QIDS-SR16 total score of 5 was comparable to a MADRS total score of 7 or 8 (7.5).

LIMITATION

The degree to which these results generalize to less treatment-resistant samples is unknown.

CONCLUSION

The conversion of QIDS-SR16 and MADRS total scores provides a basis for clinicians who wish to use the QIDS-SR16 to understand what MADRS total scores reported in clinical trials approximate QIDS-SR16 total scores obtained with their patients.

Implementation of the Texas Medication Algorithm Project patient and family education program

OBJECTIVE

This article describes the implementation and utilization of the patient and family education program (PFEP) component of the Texas Medication Algorithm Project (TMAP). The extent of participation, types of psychoeducation received, and predictors of receiving at least a minimum level of education are presented.

METHOD

TMAP included medication guidelines, a dedicated clinical coordinator, standardized assessments of symptoms and side effects, uniform documentation, and a PFEP. The PFEP includes phased, multimodal, disorder-specific educational materials for patients and families. Participants were adult outpatients of 1 of 7 community mental health centers in Texas that were implementing the TMAP disease management package. Patients had DSM-IV clinical diagnoses of major depressive disorder, with or without psychotic features; bipolar I disorder or schizoaffective disorder, bipolar type; or schizophrenia or schizoaffective disorder. Assessments were administered by independent research coordinators. Study data were collected between March 1998 and March 2000, and patients participated for at least 1 year.

RESULTS

Of the 487 participants, nearly all (95.1%) had at least 1 educational encounter, but only 53.6% of participants met criteria for "minimum exposure" to individual education interventions. Furthermore, only 31.0% participated in group education, and 42.5% had a family member involved in at least 1 encounter. Participants with schizophrenia were less involved in the PFEP across multiple indicators of utilization. Diagnosis, intensity of symptoms, age, and receipt of public assistance were related to the likelihood of exposure to minimum levels of individual education.

CONCLUSION

Despite adequate resources and infrastructure to provide PFEP, utilization was less than anticipated. Although implementation guidelines were uniform across diagnoses, participants with schizophrenia experienced less exposure to psychoeducation. Recommendations for improving program implementation and modification of materials are discussed.

Assessing physicians' use of treatment algorithms: Project IMPACTS study design and rationale

Effective treatments for major depressive disorder have been available for 35 years, yet inadequate pharmacotherapy continues to be widespread leading to suboptimal outcomes. Evidence-based medication algorithms have the potential to bring much-needed improvement in effectiveness of antidepressant treatment in "real-world" clinical settings. Project IMPACTS (Implementation of Algorithms using Computerized Treatment Systems) addresses the critical question of how best to facilitate integration of depression treatment algorithms into routine care. It tests an algorithm implemented through a computerized decision support system using a measurement-based care approach for depression against a paper-and-pencil version of the same algorithm and non-algorithm-based, specialist-delivered usual care. This paper reviews issues related to the Project IMPACTS study rationale, design, and procedures. Patient outcomes include symptom severity, social and work function, and quality of life. The economic impact of treatment is assessed in terms of health care utilization and cost. Data collected on physician behavior include degree of adherence to guidelines and physician attitudes about the perceived utility, ease of use, and self-reported effect of the use of algorithms on workload. Novel features of the design include a two-tiered study enrollment procedure, which initially enroll physicians as subjects, and then following recruitment of physicians, enrollment of subjects takes place based initially on an independent assessment by study staff to determine study eligibility. The study utilizes brief, easy-to-use symptom severity measures that facilitate physician decision making, and it employs a validated, phone-based, follow-up assessment protocol in order to minimize missing data, a problem common in public sector and longitudinal mental health studies. IMPACTS will assess the success of algorithm implementation and subsequent physician adherence using study-developed criteria and related statistical approaches. These new procedures and data points will also allow a more refined assessment of algorithm-driven treatment in the future.

Comparison of self-report and clinician ratings on two inventories of depressive symptomatology

OBJECTIVE

This study evaluated the concordance between the self-report and the clinician-rated versions of the Inventory of Depressive Symptomatology (IDS-30) and between the two versions of the briefer 16-item Quick Inventory of Depressive Symptomatology (QIDS-16).

METHODS

Data were gathered for 544 adult outpatients with psychotic (N = 106) or nonpsychotic (N = 438) major depressive disorder at 14 public sector mental health clinics in the Texas Medication Algorithm Project. Data for the QIDS-16 were extracted from the IDS-30. Baseline scores and scores from the final study visit at or before month 12 were analyzed. The clinician-rated and the self-report versions of each scale were compared in their identification of response to treatment and remission.

RESULTS

The average baseline IDS-SR-30 total score was 2.2 points higher (indicating greater severity) than the IDS-C-30 score; the average QIDS-SR-16 total score was only .3 points higher than the QIDS-C-16 score. The IDS-SR-30 and the IDS-C-30, as well as the QIDS-C-16 and QIDS-SR-16, agreed substantially in classifying response and remission for patients, regardless of whether the patients had psychotic features. None of a large number of clinical and demographic features accounted for differences between the QIDS-SR-16 and QIDS-C-16 total scores.

CONCLUSIONS

Either the IDS-30 or the QIDS-16 self-report adequately assesses depressive symptom severity among public-sector outpatients with major depressive disorder. The briefer QIDS-16 may be preferred to save time and cost.

An empirical analysis of cost outcomes of the Texas Medication Algorithm Project

OBJECTIVE

Disease management systems that incorporate medication algorithms have been proposed as cost-effective means to offer optimal treatment for patients with severe and chronic mental illnesses. The Texas Medication Algorithm Project was designed to compare health care costs and clinical outcomes between patients who received algorithm-guided medication management or usual care in 19 public mental health clinics.

METHODS

This longitudinal cohort study for patients with major depression (N=350), bipolar disorder (N=267), and schizophrenia (N=309) applied a multi-part declining-effects cost model. Outcomes were assessed by the Inventory of Depressive Symptomatology and the Brief Psychiatric Rating Scale.

RESULTS

Compared with patients in usual care, patients in algorithm-based care incurred higher medication costs and had more frequent physician visits, although these differences often became smaller with time. For major depression, algorithm-based care achieved better outcomes sustainable with time but at higher agency and non-agency costs (mixed cost-effective). For bipolar disorder, patients in algorithm-based management achieved better outcomes at lower agency costs (cost-effective). For schizophrenia, patients in algorithm-based care achieved better outcomes that diminished with time, with no detectable difference in health care costs (cost-effective).

CONCLUSIONS

Cost outcomes of algorithm-based care and usual care varied by disorder and over time. For bipolar disorder and schizophrenia, algorithm-based care improved outcomes without higher costs for health care services. For major depression, substantively better and sustained outcomes were obtained but at greater costs.

An evaluation of the quick inventory of depressive symptomatology and the hamilton rating scale for depression: a sequenced treatment alternatives to relieve depression trial report

BACKGROUND

Nine DSM-IV-TR criterion symptom domains are evaluated to diagnose major depressive disorder (MDD). The Quick Inventory of Depressive Symptomatology (QIDS) provides an efficient assessment of these domains and is available as a clinician rating (QIDS-C16), a self-report (QIDS-SR16), and in an automated, interactive voice response (IVR) (QIDS-IVR16) telephone system. This report compares the performance of these three versions of the QIDS and the 17-item Hamilton Rating Scale for Depression (HRSD17).

METHODS

Data were acquired at baseline and exit from the first treatment step (citalopram) in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial. Outpatients with nonpsychotic MDD who completed all four ratings within +/-2 days were identified from the first 1500 STAR*D subjects. Both item response theory and classical test theory analyses were conducted.

RESULTS

The three methods for obtaining QIDS data produced consistent findings regarding relationships between the nine symptom domains and overall depression, demonstrating interchangeability among the three methods. The HRSD17, while generally satisfactory, rarely utilized the full range of item scores, and evidence suggested multidimensional measurement properties.

CONCLUSIONS

In nonpsychotic MDD outpatients without overt cognitive impairment, clinician assessment of depression severity using either the QIDS-C16 or HRSD17 may be successfully replaced by either the self-report or IVR version of the QIDS.

A randomized trial of citalopram versus placebo in outpatients with asthma and major depressive disorder: a proof of concept study

BACKGROUND

The prevalence of asthma has increased in recent years and depression is common in this population. Minimal data are available on the treatment of depressed asthma patients.

METHODS

Ninety adults with asthma and current major depressive disorder were randomized to receive citalopram or placebo for 12 weeks. At each visit, the Hamilton Rating Scale for Depression (HRSD), Inventory of Depressive Symptomatology - Self-Report, Asthma Control Questionnaire, and Asthma Quality of Life Questionnaire were administered, and oral corticosteroid use assessed.

RESULTS

In the evaluable sample (n = 82), the primary outcome, a random regression analysis of HRSD scores, revealed no significant between-group differences. Bonferroni corrected secondary outcomes revealed HRSD scores decreased significantly in both groups with a significantly greater decrease in the citalopram group at week 6. Changes in asthma symptoms were similar between groups. The groups had similar rates of oral corticosteroid use at baseline, but the citalopram group had less corticosteroid use during the study. Changes in asthma symptom severity correlated with changes in depressive symptom severity.

CONCLUSIONS

A reduction in depressive symptoms was associated with improvement in asthma. Corticosteroid use, an important measure of severe asthma exacerbations, was lower in the citalopram group. Larger clinical trials in this population are warranted.

Does provider adherence to a treatment guideline change clinical outcomes for patients with bipolar disorder? Results from the Texas Medication Algorithm Project

BACKGROUND

Despite increasing adoption of clinical practice guidelines in psychiatry, there is little measurement of provider implementation of these recommendations, and the resulting impact on clinical outcomes. The current study describes one effort to measure these relationships in a cohort of public sector out-patients with bipolar disorder.

METHOD

Participants were enrolled in the algorithm intervention of the Texas Medication Algorithm Project (TMAP). Study methods and the adherence scoring algorithm have been described elsewhere. The current paper addresses the relationships between patient characteristics, provider experience with the algorithm, provider adherence, and clinical outcomes. Measurement of provider adherence includes evaluation of visit frequency, medication choice and dosing, and response to patient symptoms. An exploratory composite 'adherence by visit' score was developed for these analyses.

RESULTS

A total of 1948 visits from 141 subjects were evaluated, and utilized a two-stage declining effects model. Providers with more experience using the algorithm tended to adhere less to treatment recommendations. Few patient factors significantly impacted provider adherence. Increased adherence to algorithm recommendations was associated with larger decreases in overall psychiatric symptoms and depressive symptoms over time, but did not impact either immediate or long-term reductions in manic symptoms.

CONCLUSIONS

Greater provider adherence to treatment guideline recommendations was associated with greater reductions in depressive symptoms and overall psychiatric symptoms over time. Additional research is needed to refine measurement and to further clarify these relationships.

Self-reported depressive symptom measures: sensitivity to detecting change in a randomized, controlled trial of chronically depressed, nonpsychotic outpatients

This study evaluated and compared the performance of three self-report measures: (1) 30-item Inventory of Depressive Symptomatology-Self-Report (IDS-SR30); (2) 16-item Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR16); and (3) Patient Global Impression-Improvement (PGI-I) in assessing clinical outcomes in depressed patients during a 12-week, acute phase, randomized, controlled trial comparing nefazodone, cognitive-behavioral analysis system of psychotherapy (CBASP), and the combination in the treatment of chronic depression. The IDS-SR30, QIDS-SR16, PGI-I, and the 24-item Hamilton Depression Rating Scale (HDRS24) ratings were collected at baseline and at weeks 1-4, 6, 8, 10, and 12. Response was defined a priori as a > or =50% reduction in baseline total score for the IDS-SR30 or for the QIDS-SR16 or as a PGI-I score of 1 or 2 at exit. Overall response rates (LOCF) to nefazodone were 41% (IDS-SR30), 45% (QIDS-SR16), 53% (PCI-I), and 47% (HDRS17). For CBASP, response rates were 41% (IDS-SR30), 45% (QIDS-SR16), 48% (PGI-I), and 46% (HDRS17). For the combination, response rates were 68% (IDS-SR30 and QIDS-SR16), 73% (PGI-I), and 76% (HDRS17). Similarly, remission rates were comparable for nefazodone (IDS-SR30=32%, QIDS-SR16=28%, PGI-I=22%, HDRS17=30%), for CBASP (IDS-SR30=32%, QIDS-SR16=30%, PGI-I=21%, HDRS17=32%), and for the combination (IDS-SR30=52%, QIDS-SR16=50%, PGI-I=25%, HDRS17=49%). Both the IDS-SR30 and QIDS-SR16 closely mirrored and confirmed findings based on the HDRS24. These findings raise the possibility that these two self-reports could provide cost- and time-efficient substitutes for clinician ratings in treatment trials of outpatients with nonpsychotic MDD without cognitive impairment. Global patient ratings such as the PGI-I, as opposed to specific item-based ratings, provide less valid findings.

Does pretreatment insomnia or anxiety predict acute response to bupropion SR?

BACKGROUND

This retrospective analysis was conducted to determine whether pretreatment levels of insomnia or anxiety were associated with likelihood of or time to antidepressant response with bupropion sustained release (SR).

METHODS

Data from an open-label, 8-week, acute phase multicenter study of 797 adult outpatients with recurrent, nonpsychotic major depressive disorder who received bupropion SR (300 mg/day) were used. Depressive symptom severity was measured by the 17-item Hamilton Rating Scale for Depression (HAM-D17), insomnia by totaling the three HAM-D17 insomnia items (early, middle, late), and anxiety by the 14-item Hamilton Rating Scale forAnxiety.

RESULTS

Overall, 67% (533/797) of patients responded (defined as > or = 50% reduction in baseline HAM-D17). Neither baseline insomnia nor baseline anxiety was related to the likelihood of achieving response. Higher baseline insomnia and lower baseline anxiety were associated with an earlier onset of response (about one week sooner in each).

CONCLUSIONS

Predicting the likelihood of antidepressant response with bupropion SR cannot be based on either baseline insomnia or anxiety levels.