Search

Background: Profiling patients on a proposed 'immunometabolic depression' (IMD) dimension, described as a cluster of atypical depressive symptoms related to energy regulation and immunometabolic dysregulations, may optimise personalised treatment., Aims: To test the hypothesis that baseline IMD features predict poorer treatment outcomes with antidepressants., Method: Data on 2551 individuals with depression across the iSPOT-D ( n = 967), CO-MED ( n = 665), GENDEP ( n = 773) and EMBARC ( n = 146) clinical trials were used. Predictors included baseline severity of atypical energy-related symptoms (AES), body mass index (BMI) and C-reactive protein levels (CRP, three trials only) separately and aggregated into an IMD index. Mixed models on the primary outcome (change in depressive symptom severity) and logistic regressions on secondary outcomes (response and remission) were conducted for the individual trial data-sets and pooled using random-effects meta-analyses., Results: Although AES severity and BMI did not predict changes in depressive symptom severity, higher baseline CRP predicted smaller reductions in depressive symptoms ( n = 376, β pooled = 0.06, P = 0.049, 95% CI 0.0001-0.12, I 2 = 3.61%); this was also found for an IMD index combining these features ( n = 372, β pooled = 0.12, s.e. = 0.12, P = 23.91%), with a higher - but still small - effect size compared with CRP. Confining analyses to selective serotonin reuptake inhibitor users indicated larger effects of CRP (β I 2 = 23.91%), with a higher - but still small - effect size compared with CRP. Confining analyses to selective serotonin reuptake inhibitor users indicated larger effects of CRP (β pooled = 0.16) and the IMD index (β pooled = 0.20). Baseline IMD features, both separately and combined, did not predict response or remission., Conclusions: Depressive symptoms of people with more IMD features improved less when treated with antidepressants. However, clinical relevance is limited owing to small effect sizes in inconsistent associations. Whether these patients would benefit more from treatments targeting immunometabolic pathways remains to be investigated.

Objective: Characteristics of difficult-to-treat depression (DTD), including infrequent symptom remission and poor durability of benefit, compel reconsideration of the outcome metrics historically used to gauge the effectiveness of antidepressant interventions., Methods: Self-report and clinician assessments of depression symptom severity were obtained regularly over a 2-year period in a difficult-to-treat depression registry sample receiving treatment as usual (TAU), with or without vagus nerve stimulation (VNS). Alternative outcome metrics for characterizing symptom change were compared in effect size and discriminating power in distinguishing the vagus nerve stimulation + treatment as usual and treatment as usual treatment groups. We expected metrics based on remission status to produce weaker between-group separation than those based on the classifications of partial response or response and metrics that integrate information over time to produce greater separation than those based on single endpoint assessment., Results: Metrics based on remission status had smaller effect size and poorer discrimination in separating the treatment groups than metrics based on partial response or response classifications. Metrics that integrated information over the 2-year observation period had stronger performance characteristics than those based on symptom scores at single endpoint assessment. For both the clinician-rated and self-report depression ratings, the metrics with the strongest performance characteristics were the median percentage change in symptom scores over the observation period and the proportion of the observation period in partial response or better., Conclusion: In difficult-to-treat depression, integrative symptom severity-based and time-based measures are sensitive and informative outcomes for assessing between-group treatment effects, while metrics based on remission status are not., Competing Interests: Declaration of Conflicting InterestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship and/or publication of this article: Dr STA is a consultant to Genomind, LivaNova, Janssen, Neuronetics and Sage Therapeutics. He also receives research support from Compass Pathways and Neuronetics.Dr HAS serves as a scientific adviser and receives consulting fees from Cerebral Therapeutics Inc., Holmusk Technologies Inc., LivaNova PLC, MECTA Corporation, Neurolief Ltd, Neuronetics Inc., Parow Entheobiosciences LLC and SigmaStim LLC. He receives honoraria and royalties from Elsevier Inc. and Oxford University Press. He is the inventor on non-remunerative US patents for Focal Electrically-Administered Seizure Therapy (FEAST), titration in the current domain in ECT and the adjustment of current in ECT devices, each held by Balance Point LLC. He is also the originator of magnetic seizure therapy (MST).Dr MJ and Ms SB are employees of LivaNova USA PLC.Dr TG was an employee of LivaNova PLC when she helped draft the plan for the statistical analyses conducted in this study. She is currently an employee at Jazz Pharmaceuticals PLC.Dr MTB is a former employee and a current consultant of LivaNova USA PLC.Dr CRC has received research support from the American Foundation for Suicide Prevention, Assurex Health Inc., August Busch IV Foundation, Barnes-Jewish Hospital Foundation, Bristol-Myers Squibb, LivaNova PLC, National Institute of Mental Health, NeoSync, Stanley Medical Research Institute and the Taylor Family Institute for Innovative Psychiatric Research. He is a part-time employee at the John Cochran VA Medical Center in St. Louis.Dr KD has received honoraria for attending advisory boards, acting as a consultant or being a member of the speaker bureau for: Boehringer-Ingelheim, Gedeon-Richter, Johnson and Johnson, LivaNova, Lundbeck, Pfizer and Recordati.Dr AHY has received payment for lectures and advisory boards for the following companies: Allegan, AstraZeneca, Bionomics, COMPASS, Eli Lilly, Janssen, LivaNova, Lundbeck, Neurocentrx, Novartis, Sage, Servier, Sumitomo Dainippon Pharma and Sunovion, He is a consultant to Johnson & Johnson and LivaNova. He has received honoraria for attending advisory boards and presenting talks at meetings organized by LivaNova. He is a Principal Investigator on studies funded by COMPASS, LivaNova and Janssen, and Chief Investigator on a study funded by Novartis. He does not hold shares in pharmaceutical companies. Dr. McAllister-Williams has received fees from American Center for Psychiatry & Neurology United Arab Emirates, British Association for Psychopharmacology, European College of Neuropsychopharmacology, International Society for Affective Disorders, Janssen, LivaNova, Lundbeck, My Tomorrows, OCM Comunicaziona s.n.c., Pfizer, Qatar International Mental Health Conference, Sunovion, Syntropharma, UK Medical Research Council and Wiley; grant support from the National Institute for Health Research Efficacy and Mechanism Evaluation Panel and Health Technology Assessment Panel and non-financial support from COMPASS Pathways and Magstim.Dr AJR has received consulting fees from Compass Inc., Curbstone Consultant LLC, Emmes Corp., Evecxia Therapeutics, Inc., Holmusk Technologies, Inc., Johnson and Johnson (Janssen), LivaNova, MindStreet, Inc., Neurocrine Biosciences Inc., Otsuka-US; speaking fees from LivaNova, Johnson and Johnson (Janssen) and royalties from Wolters Kluwer Health, Guilford Press and the University of Texas Southwestern Medical Center, Dallas, TX (for the Inventory of Depressive Symptoms and its derivatives). He is also named co-inventor on two patents: U.S. Patent No. 7,795,033: Methods to Predict the Outcome of Treatment with Antidepressant Medication, Inventors: McMahon FJ, Laje G, Manji H, Rush AJ, Paddock S, Wilson AS; and U.S. Patent No. 7,906,283: Methods to Identify Patients at Risk of Developing Adverse Events During Treatment with Antidepressant Medication, Inventors: McMahon FJ, Laje G, Manji H, Rush AJ, Paddock S.

Objective: To evaluate psychometrically and provide crosswalks between 3 self-report measures of depressive symptomatology in youth in psychiatric care settings. Ratings included the Patient Health Questionnaire for Adolescents (PHQ-A), a widely used 9-item self-report; the 16-item Quick Inventory of Depressive Symptomatology-Self-Report (QIDS-SR 16 ); and the 5-item Very Quick Inventory of Depressive Symptomatology-Self-Report (VQIDS-SR 5 ), a recent effort to create a bridge from the QIDS-SR 16 to clinical practice., Methods: Data from the Texas Youth Depression and Suicide Research Network Registry (August 26, 2020-May 11, 2022) were included in this work. At first visit, 795 depressed or suicidal adolescent (12-20 years of age) psychiatric outpatients completed the PHQ-A, QIDS-SR 16 , and VQIDS-SR 5 . Classical test theory and item-response theory (IRT) analyses were conducted. Crosswalks among total scales were created. Sensitivity to change over 1-month follow-up was assessed for all 3 scales (n = 682)., Results: Cronbach alphas were 0.86 (PHQ-A), 0.80 (QIDS-SR 16 ), and 0.76 (VQIDS-SR 5 ). Item total correlations were 0.49-0.72, 0.29-0.64, and 0.43-0.61, respectively. All 3 scales were unidimensional and sensitive to change over a 1-month period. IRT analyses revealed satisfactory item performance. Modest but significant associations were found between baseline to 1-month changes in PHQ-A and VQIDS-SR 5 total scores ( r  = 0.50, P  < .0001) and between PHQ-A and QIDS-SR 16 total scores ( r  = 0.56; P  < .0001). Categorical thresholds of severity (ie, mild, moderate, severe, and very severe) were comparable between PHQ-A and QIDS-SR 16 ., Conclusions: The PHQ-A, QIDS-SR 16 , and VQIDS-SR 5 are unidimensional, psychometrically acceptable self-reports of depressive prevalence or severity in adolescents and young adults in this sample. Total scale scores on any measure can be converted reliably to those on any other., (© Copyright 2023 Physicians Postgraduate Press, Inc.)

Background: Altered metabolism of acylcarnitines - transporting fatty acids to mitochondria - may link cellular energy dysfunction to depression. We examined the potential causal role of acylcarnitine metabolism in depression by leveraging genomics and Mendelian randomization., Methods: Summary statistics were obtained from large GWAS: the Fenland Study (N = 9363), and the Psychiatric Genomics Consortium (246,363 depression cases and 561,190 controls). Two-sample Mendelian randomization analyses tested the potential causal link of 15 endogenous acylcarnitines with depression., Results: In univariable analyses, genetically-predicted lower levels of short-chain acylcarnitines C2 (odds ratio [OR] 0.97, 95% confidence intervals [CIs] 0.95-1.00) and C3 (OR 0.97, 95%CIs 0.96-0.99) and higher levels of medium-chain acylcarnitines C8 (OR 1.04, 95%CIs 1.01-1.06) and C10 (OR 1.04, 95%CIs 1.02-1.06) were associated with increased depression risk. No reverse potential causal role of depression genetic liability on acylcarnitines levels was found. Multivariable analyses showed that the association with depression was driven by the medium-chain acylcarnitines C8 (OR 1.04, 95%CIs 1.02-1.06) and C10 (OR 1.04, 95%CIs 1.02-1.06), suggesting a potential causal role in the risk of depression. Causal estimates for C8 (OR = 1.05, 95%CIs = 1.02-1.07) and C10 (OR = 1.05, 95%CIs = 1.02-1.08) were confirmed in follow-up analyses using genetic instruments derived from a GWAS meta-analysis including up to 16,841 samples., Discussion: Accumulation of medium-chain acylcarnitines is a signature of inborn errors of fatty acid metabolism and age-related metabolic conditions. Our findings point to a link between altered mitochondrial energy production and depression pathogenesis. Acylcarnitine metabolism represents a promising access point for the development of novel therapeutic approaches for depression., (Copyright © 2022. Published by Elsevier B.V.)

Several magnetic resonance imaging (MRI) studies have reported reduction in anterior cingulate cortex (ACC) volume in individuals with major depressive disorder (MDD). However, some MRI studies did not find significant ACC volumetric changes in MDD, and sample sizes were generally small. This cross-sectional structural MRI study examined the relationship between current depressive symptoms and ACC volume in a large community sample of 1803 adults. A series of multiple linear regression analyses were conducted to predict right and left ACC volumes using Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) scores, intracranial volume, age, sex, race/ethnicity, alcohol use, tobacco use, and psychotropic medications as predictor variables. Right ACC volume was significantly negatively associated with QIDS-SR scores, while no significant association was found between left ACC volume and QIDS-SR scores. In addition, there was a significant negative association between QIDS-SR scores and right but not left ACC volumes in males, and no significant association between QIDS-SR scores and right or left ACC volumes in females. These findings suggest that right ACC volume is reduced in people with greater self-reported depressive symptom severity, and that this association is only significant in men., (Copyright © 2021. Published by Elsevier B.V.)

Purpose: This report describes outcomes of an ongoing quality-improvement project (VitalSign6) in a large US metropolitan area to improve recognition, treatment, and outcomes of depressed patients in 16 primary care clinics (6 charity clinics, 6 federally qualified health care centers, 2 private clinics serving low-income populations, and 2 private clinics serving patients with either Medicare or private insurance)., Methods: Inclusion in this retrospective analysis was restricted to the first 25,000 patients (aged ≥12 years) screened with the 2-item Patient Health Questionnaire (PHQ-2) in the aforementioned quality-improvement project. Further evaluations with self-reports and clinician assessments were recorded for those with positive screen (PHQ-2 >2). Data collected from August 2014 though November 2016 were available at 3 levels: (1) initial PHQ-2 (n = 25,000), (2) positive screen (n = 4,325), and (3) clinician-diagnosed depressive disorder with 18 or more weeks of enrollment (n = 2,160)., Results: Overall, 17.3% (4,325/25,000) of patients screened positive for depression. Of positive screens, 56.1% (2,426/4,325) had clinician-diagnosed depressive disorder. Of those enrolled for 18 or more weeks, 64.8% were started on measurement-based pharmacotherapy and 8.9% referred externally. Of the 1,400 patients started on pharmacotherapy, 45.5%, 30.2%, 12.6%, and 11.6% had 0, 1, 2, and 3 or more follow-up visits, respectively. Remission rates were 20.3% (86/423), 31.6% (56/177), and 41.7% (68/163) for those with 1, 2, and 3 or more follow-up visits, respectively. Baseline characteristics associated with higher attrition were: non-white, positive drug-abuse screen, lower depression/anxiety symptom severity, and younger age., Conclusion: Although remission rates are high in those with 3 or more follow-up visits after routine screening and treatment of depression, attrition from care is a significant issue adversely affecting outcomes., (© 2019 Annals of Family Medicine, Inc.)

Background: The 12-item Concise Health Risk Tracking Self-Report (CHRT-SR 12 ) 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-SR 12 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-SR 12 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., (© 2018 Wiley Periodicals, Inc.)

Specific challenges that profoundly affect the outcome of treatment for depression include 1) patient engagement and retention in care and optimization of treatment adherence, 2) optimization of symptom and side effect control by medication adjustments using measurement-based care procedures, 3) restoration of daily functioning and quality of life, and 4) prevention or at least mitigation of symptomatic relapse or recurrence. According to data from the Sequenced Treatment Alternatives to Relieve Depression study, some 10%-15% of patients will not return for treatment after an initial thorough evaluation visit; an additional 20%-35% will not complete the first acute-phase treatment step, and another 20%-50% will not complete 6 months of continuation treatment. Among patients who stay in treatment, over 50% exhibit poor adherence. Thus, most patients do not overcome the first two challenges. There are no systematic, widely agreed-upon psychosocial approaches to any of these four major challenges. The authors propose "patient-centered medical management" to address each of the four challenges, using psychoeducational, behavioral, cognitive, interpersonal, and dynamic models and methods. A renewed emphasis on the development and testing of systematic approaches to overcoming these common clinical challenges could enhance the chances of patient recovery and care system cost efficiencies. [AJP AT 175: Remembering Our Past As We Envision Our Future July 1933: Psychotherapeutics at Stockbridge Horace K. Richardson: "Frequently, in the simpler situations, very few interviews are required in order that he [the patient] discover for himself what part of the adaptive machinery is at fault, and for him to develop a technique of handling the maladjustment on a more satisfactory level in the future." (Am J Psychiatry 1933; 90:45-56 )].

Objective: Because there is overlap between somatic symptoms of depression and symptoms of chronic kidney disease (CKD), it is unclear if self-reported depression rating scales can be used accurately in predialysis CKD patients, especially if CKD and other comorbidities are symptomatic. We assessed the performance of two depression scales - the Beck Depression Inventory (BDI) and the Quick Inventory of Depression Symptomatology (QIDS-SR16) - by CKD stage, diagnosis of diabetes and total medical comorbidity burden - using item response theory (IRT) in a sample of 272 predialysis CKD patients., Methods: We performed IRT by low versus high CKD stage, diabetes versus no diabetes and high (>3 diagnoses) versus low medical comorbidity burden., Results: IRT models of each rating scale were affected in a limited way by CKD stage, diabetes and medical comorbidity burden. Sleep disturbances on the QIDS-SR16 were more discriminatory for depression in diabetics and those with high comorbidity burden. Pessimism and guilt from the BDI compared to QIDS-SR16 were more discriminatory of depression in the high CKD and high comorbidity groups, respectively., Conclusions: Overall item differences were modest, and chronic disease severity by CKD stage, diabetes mellitus or other medical comorbidities did not appreciably contribute to differences in scale performance., (Copyright © 2016. Published by Elsevier Inc.)

Aim: The aim of this study was to compare the symptomatic and clinical features of depression among five groups of patients with major depressive disorder (MDD) living in China, Korea, Malaysia/Singapore, Taiwan, and Thailand., Methods: Consecutive consenting adults (aged 18-65) who met DSM-IV criteria for non-psychotic MDD – based on the Mini International Neuropsychiatric Interview – and who were free of psychotropic medication were evaluated in a cross-sectional study. Depressive symptoms were evaluated using the 10-item Montgomery–Asberg Depression Rating Scale (MADRS) and the 13-item depression subscale of the Symptoms Checklist 90-Revised (SCL-90-R). In addition, the 10-item SCL-90-R Anxiety Subscale was completed. ancova were conducted, adjusting for confounders: age, completion of secondary education, marital status, work status, religion, index episode duration, and depressive severity. For the magnitude of differences, a threshold of 0.10 was taken as the minimum effect size representing clinical significance, and an effect size of 0.25 was considered moderate., Results: Four MADRS symptoms differentiated these five groups, the most prominent being ‘lassitude’ and ‘inner tension’. Nine SCL-90-R depression items also differentiated the groups, as did eight SCL-90-R Anxiety Subscale items. The MADRS lassitude item had the largest effect size (0.131). The rest of those statistically significant differences did not exceed 0.10., Conclusion: MDD is more similar than different among outpatients in these diverse Asian countries. The between-country differences, while present and not due to chance, are small enough to enable the use of common clinician and self-report rating scales in studies involving Asians with MDD from various ethnic backgrounds.

Hippocampal atrophy is reported in major depressive disorder (MDD). However, sample sizes were generally modest, and participant characteristics, including age, differed between studies. This study used a community sample to examine relationships between current depressive symptom severity and hippocampal volume across the adult lifespan. A total of 1936 adults with magnetic resonance images of the brain and Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR) scores were included. Brain volumes were quantified using the FSL program. Multiple linear regressions were performed using left, right, and total hippocampal volume as criterion variables, and predictor variables of QIDS-SR total, total brain volume, age, gender, education, psychotropic medications, alcohol use, and race/ethnicity. Post hoc analyses were conducted in participants with QIDS-SR scores 11 (moderate or greater depressive symptom severity) and <11, and older and younger adults. In the primary analysis (sample as a whole) QIDS-SR was inversely associated with total hippocampal volume (b=-0.044, p=0.032, (CI-0.019 to -0.001)) but not with left or right hippocampal volume evaluated individually. In participants with QIDS-SR scores of <11, hippocampal volumes were not associated with QIDS-SR scores. In those with QIDS-SR scores 11 total, right, and left hippocampal volumes were modestly, but significantly, associated with QIDS-SR scores. The association between QIDS-SR scores and the hippocampal volume was much stronger in older persons. Findings suggest smaller hippocampal volumes among those with greater reported depressive symptom severity-an association that is strongest in people with at least moderate depressive symptom levels.

Objective: To explore which symptoms are common in patients who experience a range of symptom severity that spans minor depression and major depressive disorder (MDD)., Method: A post hoc analysis of subjects entering outpatient, pharmacologic treatment studies for minor depression or MDD who provided baseline data on the Inventory for Depressive Symptomatology-Clinician Rated (IDS-C) was performed in November 2000. The minor depression sample included 161 patients diagnosed according to the National Institute of Mental Health Diagnostic Interview Schedule, while the MDD subjects included 969 subjects diagnosed according to the Structured Clinical Interview for DSM-III-R. Descriptive statistics were calculated for the total IDS-C score and for each item-rating score for both groups. The percentages of patients within the low, medium, and high severity groups of minor depression and MDD endorsing each IDS-C item were calculated and used to identify specific patterns of prevalence across the 6 groups: symptoms with high prevalence in all groups (core symptoms), those with increasing prevalence across groups (continuum symptoms), and those that become prominent only at a certain threshold of illness severity., Results: The mean (SD) IDS-C score was 21.18 (5.37) for minor depression patients, while it was 37.14 (7.27) for the MDD patients (P = .0001). Ten items pertaining mostly to mood state and cognition were identified as "core" symptoms of depression based on their high prevalence in all groups. Fourteen items consisting mostly of neurovegetative and somatic symptoms were identified as "continuum" symptoms based on their general pattern of increasing prevalence across the 6 severity groups. Four "threshold" symptoms, including suicidal ideation, psychomotor slowing, gastrointestinal symptoms, and panic/phobic symptoms, were prevalent in only the most severely depressed groups., Conclusions: The presence of core, continuum, and threshold depressive symptoms indicates central features of both minor depression and MDD as well as symptoms that increase or emerge with depressive illness severity. Some of the core symptoms of minor depression and MDD are not included in DSM depressive criteria or traditional assessment rating scales., (© Copyright 2013 Physicians Postgraduate Press, Inc.)

Objective: The authors sought to identify baseline clinical and sociodemographic characteristics associated with work productivity in depressed outpatients and to assess the effect of treatment on work productivity., Method: Employed depressed outpatients 18-75 years old who completed the Work Productivity and Activity Impairment scale (N=1,928) were treated with citalopram (20-40 mg/day) in the Sequenced Treatment Alternatives to Relieve Depression study. For patients who did not remit after an initial adequate antidepressant trial (level 1), either a switch to sertraline, sustained-release bupropion, or extended-release venlafaxine or an augmentation with sustained-release bupropion or buspirone was provided (level 2). Participants' clinical and demographic characteristics and treatment outcomes were analyzed for associations with baseline work productivity and change in productivity over time., Results: Education, baseline depression severity, and melancholic, atypical, and recurrent depression subtypes were all independently associated with lower benefit to work productivity domains. During level 1 treatment, work productivity in several domains improved with reductions in depressive symptom severity. However, these findings did not hold true for level 2 outcomes; there was no significant association between treatment response and reduction in work impairment. Results were largely confirmed when multiple imputations were employed to address missing data. During this additional analysis, an association was also observed between greater impairment in work productivity and higher levels of anxious depression., Conclusions: Patients with clinically significant reductions in symptom severity during initial treatment were more likely than nonresponders to experience significant improvements in work productivity. In contrast, patients who achieved symptom remission in second-step treatment continued to have impairment at work. Patients who have demonstrated some degree of treatment resistance are more prone to persistent impairment in occupational productivity, implying a need for additional, possibly novel, treatments.

Objective: To determine the incidence, clinical and demographic correlates, and relationship to treatment outcome of self-reported premenstrual exacerbation of depressive symptoms in premenopausal women with major depressive disorder who are receiving antidepressant medication., Method: This post-hoc analysis used clinical trial data from treatment-seeking, premenopausal, adult female outpatients with major depression who were not using hormonal contraceptives. For this report, citalopram was used as the first treatment step. We also used data from the second step in which one of three new medications were used (bupropion-SR [sustained release], venlafaxine-XR [extended release], or sertraline). Treatment-blinded assessors obtained baseline treatment outcomes data. We hypothesized that those with reported premenstrual depressive symptom exacerbation would have more general medical conditions, longer index depressive episodes, lower response or remission rates, and shorter times-to-relapse with citalopram, and that they would have a better outcome with sertraline than with bupropion-SR., Results: At baseline, 66% (n=545/821) of women reported premenstrual exacerbation. They had more general medical conditions, more anxious features, longer index episodes, and shorter times-to-relapse (41.3 to 47.1 weeks, respectively). Response and remission rates to citalopram, however, were unrelated to reported premenstrual exacerbation. Reported premenstrual exacerbation was also unrelated to differential benefit with sertraline and bupropion-SR., Conclusions: Self-reported premenstrual exacerbation has moderate clinical utility in the management of depressed patients, although it is not predictive of overall treatment response. Factors that contribute to a more chronic or relapsing course may also play a role in premenstrual worsening of major depressive disorder (MDD).

Both the 17-item Hamilton Rating Scale for Depression (HRSD(17)) and 30-item Inventory of Depressive Symptomatology - Clinician-rated (IDS-C(30) ) contain a subscale that assesses anxious symptoms. We used classical test theory and item response theory methods to assess and compare the psychometric properties of the two anxiety subscales (HRSD(ANX) and IDS-C(ANX)) in a large sample (N = 3453) of outpatients with non-psychotic major depressive disorder in the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Approximately 48% of evaluable participants had at least one concurrent anxiety disorder by the self-report Psychiatric Diagnostic Screening Questionnaire (PDSQ). The HRSD(ANX) and IDS-C(ANX) were highly correlated (r = 0.75) and both had moderate internal consistency given their limited number of items (HRSD(ANX) Cronbach's alpha = 0.48; IDS-C(ANX) Cronbach's alpha = 0.58). The optimal threshold for ascribing the presence/absence of anxious features was found at a total score of eight or nine for the HRSD(ANX) and seven or eight for the IDS-C(ANX) . It would seem beneficial to delete item 17 (loss of insight) from the HRSD(ANX) as it negatively correlated with the scale's total score. Both the HRSD(ANX) and IDS-C(ANX) subscales have acceptable psychometric properties and can be used to identify anxious features for clinical or research purposes., (Copyright © 2011 John Wiley & Sons, Ltd.)

Major depressive disorder (MDD) profoundly affects social functioning, including the ability to enjoy social activities with peers, friends, and family members. We sought to compare changes in social functioning and depressive symptoms in the first level of the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Adult outpatients (N = 2876) with diagnoses of MDD were treated using flexible doses of citalopram for up to 14 weeks. We compared the change over the course of treatment in the social activities item of the Work and Social Adjustment Scale to the change in individual items of the Quick Inventory of Depressive Symptoms-Self-Rated (QIDS-SR). Improvement in social functioning was modestly positively correlated with improvement in sad mood, concentration/decision making, involvement, and energy/fatigability. Only 16% to 22% of the variance in the change in social functioning was accounted for by these symptoms, and only 32% was accounted for by the total QIDS-SR score. In this large real-world sample of outpatients treated using citalopram, changes in depressive symptoms do not entirely explain improvements in social functioning.

Objective: The clinician-rated (QIDS-C₁₆) and self-report (QIDS-SR₁₆) versions of the 16-item Quick Inventory of Depressive Symptomatology have been extensively examined in adult populations. This study evaluated both versions of the QIDS and the 17-item Children's Depressive Rating Scale - Revised (CDRS-R) in an adolescent outpatient sample., Method: Both the QIDS-C₁₆ and QIDS-SR₁₆ were completed for the adolescents. Three different methods were used to complete the QIDS-C₁₆: (a) adolescents' responses to clinician interviews; (b) parents' responses to clinician interview; and (c) a composite score using the most pathological response from the two interviews. Both classical and item response theory methods were used. Factor analyses evaluated the dimensionality of each scale., Results: The sample included 140 adolescent outpatients. All versions of the QIDS, save the parent interview, and the CDRS-R were very reliable (α ≥ 0.8). All four versions of the QIDS are reasonably effective and unidimensional. The CDRS-R was clearly at least two-dimensional. The CDRS-R was the most discriminating among low and extremely high levels of depression. The QIDS-SR₁₆ was the most discriminating at moderate levels of depression. There was no relation between the QIDS scores and concurrent Axis III comorbidities., Conclusion: The QIDS-C₁₆ and the QIDS-SR₁₆ are suitable for use in adolescents., (Copyright © 2010 John Wiley & Sons, Ltd.)

Introduction: Insomnia symptoms, which are common in depression, have a significant impact on function and quality of life. However, little is known about the prevalence and associated features of insomnia symptoms in representative treatment-seeking patients with depression., Methods: Data from the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) trial were analyzed. STAR*D recruited 3,743 adult outpatients diagnosed with nonpsychotic major depressive disorder (MDD) from primary (n=18) and psychiatric care (n=23) clinics across the United States. Baseline sociodemographic and clinical features were compared between those with insomnia symptoms (84.7%) and those without (15.3%)., Results: The most common presentation was the simultaneous presence of sleep onset, mid-nocturnal, and early morning insomnia symptoms (27.1%). Of these three types of insomnia symptoms, mid-nocturnal insomnia symptoms were the most commonly found alone (13.5%) and in combination with one or more other types (82.3%). Insomnia symptoms were associated with several indicators of a more severe depressive illness. Only a small proportion of participants with insomnia symptoms were receiving treatment for sleep disturbances at study initiation, and the vast majority of those receiving treatment still reported having insomnia symptoms., Conclusion: In outpatients who seek treatment for nonpsychotic MDD in typical clinical settings, insomnia symptoms are very common, undertreated, and indicative of a more severe depression.

Introduction: Major depressive disorder (MDD) is thought to negatively impact cognitive function; however, the relationship has not been well explored., Objective: This study examined the association between depression severity and global cognitive function and memory in subjects with severe, treatment-resistant MDD., Methods: We enrolled 66 subjects with Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition diagnosed unipolar MDD in a multicenter trial to assess the efficacy and neurocognitive effects of electroconvulsive therapy (ECT). We measured depression severity with the 24 item Hamilton Rating Scale for Depression (HRSD(24)). Neuropsychologic measures included the Mini Mental State Examination (MMSE), Rey Auditory Verbal Learning Test (RAVLT), and the Complex Figure Test (CFT). Correlational and regression analyses were conducted to explore associations between depression severity and cognitive function., Results: The mean age of the subjects was 53.6 years (SD=15.8), 65% were female, and mean HRSD(24) was 33.9 (SD=6.7). Mean demographic-corrected T-scores for each neurocognitive measure were in the average to borderline range, and HRSD(24) values were unrelated to performance on the MMSE, RAVLT immediate and delayed recall, and CFT immediate and delayed recall., Conclusion: In this sample of severely depressed subjects referred for ECT, depression severity was unrelated to global cognitive function or memory. Future research should examine the interactions between other depressive characteristics and neurocognitive function.

Background: Individuals with diabetes mellitus (DM) are two to four times more likely to be diagnosed with major depressive disorder (MDD). However, few controlled studies have examined the impact of DM on the treatment of MDD. Understanding the effect of DM on depressed patients could provide valuable clinical information toward adjusting current treatment modalities to produce a more effective treatment for depressed patients with DM., Methods: This study was conducted using an evaluable sample of 2876 outpatient participants enrolled in the Sequenced Treatment Alternatives to Relieve Depression study. Sociodemographic and clinical characteristics and treatment characteristics with the selective serotonin reuptake inhibitor (SSRI) citalopram, as well as remission rates for MDD and time to remission, were compared between participants with DM and participants without DM., Results: The odds of remission were lower in participants with DM than in those without DM prior to adjustment [odds ratio (OR)=0.68; 95% confidence interval (95% CI)=(0.49, 0.94); P=.0184]. These differences were no longer present after adjustment [OR=0.92; 95% CI=(0.64, 1.32); P=.6399]. Participants with DM reported fewer side effects than participants without DM despite similar dosing., Conclusions: Depressed patients with DM and depressed patients without DM appear to have similar rates of MDD remission, indicating that a diagnosis of DM per se has no impact on MDD remission. The findings of fewer side effects and psychiatric serious adverse events in participants with DM imply that depressed patients with DM may be excellent candidates for more aggressive SSRI dosing. This lower prevalence of side effects reported by depressed participants with DM warrants further exploration., (Copyright 2010 Elsevier Inc. All rights reserved.)

Introduction: This article presents baseline findings that describe how nonclinical factors were associated with patient use of psychiatric and general medical care and how those relationships changed after patients enrolled in the 41-site Sequenced Treatment Alternatives to Relieve Depression study (STAR*D)., Aims: STAR*D offered adult outpatients with major depression diligently delivered, measurement-based care. To achieve full remission within a tolerable medication dose, recommendations for treatment based on routine symptom and side-effect measurements were discussed with patients by clinical research coordinators and offered to clinicians who could flexibly tailor that guidance to accommodate individual patient needs. Medications were provided gratis. Pre- and post-enrollment data came from provider records and from patient face-to-face, telephone, and computer-assisted surveys. Two-part nested mixed models assessed patient likelihood and volume of mental and general medical care services., Results: Prior to enrollment, predisposing (gender, race, education, and care attitude), affordability (private insurance), and clinical factors (depressive symptoms and mental and physical functioning) were found to be important drivers of patient use of psychiatric and general medical care. After STAR*D enrollment, however, predisposing factors were less important drivers of psychiatric service use but remained important drivers of general medical care., Conclusions: Data suggest diligent, measurement-based mental health programs may reduce race, gender, and education disparities in the use of needed mental health care.

Clinical trials often require subjects to sign medical record releases to allow investigators to measure treatment fidelity, off-protocol care use, and care costs. Little is known, however, if limiting samples to those willing to sign releases impacts external validity. Data came from outpatients with non-psychotic major depressive disorder who enrolled in the multisite Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study. Differences between those who signed (n = 3116) and who did not sign (n = 925) releases were assessed using logistic regression and two-part, three-level log-transformed regression models, corrected for site clustering and repeated measures. Patients who released records tended to believe care was helpful, were younger, and married. However, release status had little material or consistent associations with patient health outcomes or use of care. With appropriate adjustments to data, requiring patient medical records may pose only minimal challenges to external validity in cost-outcome studies., ((c) 2009 John Wiley & Sons, Ltd.)

Objective: Rapid onset of therapeutic action for antidepressant medication represents a major area of unmet medical need, and any such effects have been difficult to detect using standard study designs and measurement strategies. We conducted a randomized, open-label study with blinded raters using daily process assessment vs. standard weekly assessment to answer the following study questions: 1) is it possible to detect an antidepressant response more rapidly with daily assessment than with standard assessment approaches? 2) what is the burden of daily assessment on participants relative to standard clinical assessments? and 3) does the process of completing daily assessments have any effect on clinic-based assessments such as the Hamilton Depression Rating Scale (HAM-D)?, Method: Seventy-eight outpatients with major depressive disorder who received open-label fluoxetine were randomized to standard weekly clinic assessment or standard weekly clinic assessment plus daily assessment, and were followed for 28 days. Data were collected between September, 2002 and August, 2003., Results: Daily assessment appeared to have no effect on 17-item HAM-D or MADRS scores obtained in the clinic. Survival analyses revealed that daily diaries detected therapeutic effects more quickly than did standard weekly clinic assessments, across most endpoints. Perceived burden of study participation was not significantly increased by daily diary completion, nor reflected in higher dropout rates., Conclusion: Daily process assessment improves the ability to detect an early antidepressant response.

Background: Although epidemiologic research consistently reports greater prevalence of major depressive disorder in women, small sample sizes in many studies do not allow for full elaboration of illness characteristics. This article examines sex differences in terms of illness attributes in a cohort of 2541 outpatients from across the United States who enrolled in the Sequenced Treatment Alternatives to Relieve Depression study., Methods: Confirmatory analyses were performed in 2541 outpatients comparing men and women with regard to sociodemographic features, comorbid Axis I and Axis III conditions, and illness characteristics. Results were compared with those of our previous report on the initial population of the first 1500 individuals enrolled in Sequenced Treatment Alternatives to Relieve Depression study., Results: In both samples, nearly two thirds of the sample (62.5%) were women. Women had greater symptom severity, but men had more episodes of major depression, despite no difference in the length of illness. No differences in age of onset emerged. As in the first cohort, women showed greater rates of an anxiety disorder, bulimia, and somatoform disorder, as well as more past suicide attempts, whereas men showed more alcohol and substance abuse. Women reported more appetite, weight, hypersomnia, interpersonal sensitivity, gastrointestinal and pain complaints, and less suicidal ideation. Irritability was equally common in men and women., Conclusion: This large analysis confirmed most of the clinical features and comorbidities found to be more prevalent in the first cohort of women. In addition, this analysis corroborated previous research suggesting higher rates of atypical and anxious depression in women but refuted the notion of an "irritable depression" found in men. The report confirmed the 1.7:1 ratio for depression seen across sexes in the National Comorbidity Survey.

The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study evaluated feasible treatment strategies to improve clinical outcomes for real-world patients with treatment-resistant depression. Although the study found no clear-cut "winner", it does provide guidance on how to start therapy and how to proceed if initial treatment fails.

This study characterized the durability of improvement in patients who responded early or late while receiving vagus nerve stimulation (VNS). In both a pilot and pivotal study, patients were identified who had at least a 50% reduction in symptom scores 3 months (early responders) or 12 months (late responders) after starting VNS. Probabilities were determined for maintenance of response at 12-month and 24-month time-points. Consistency of improvement throughout the 24-month study period was evaluated, testing for change in serial depression ratings. In the pilot study, 30.5%, 23.7% and 45.8% were early responders, later responders, and non-responders, respectively. These rates were 14.6%, 19.5%, and 65.9% in the pivotal trial. The potential confound of alterations in antidepressant treatment was examined in the pivotal trial. In the pilot study, 72.2% and 61.1% of early responders (n=18) were responders at 12 and 24 months, respectively; 78.8% of late responders (n=14) were responders at 24 months. In the pivotal trial, of early responders (n=30), 63.3% and 76.7% maintained response at 12 and 24 months, respectively; of late responders (n=40), 65.0% maintained response at 24 months. Early and late responders had fewer changes in medication than non-responders across the pivotal study period. In both studies, analyses of serial depression ratings showed stable improvement in early and late responders. These samples had exceptional levels of chronicity and treatment resistance. Yet patients who showed substantial clinical benefit maintained the improvement at remarkably high rates. This durability of benefit was not attributable to alterations in other treatments.

Background: Adolescent depression assessments are time-intensive, often requiring separate interviews with an adolescent and a parent/ informant. In adults, a self-rated, interactive voice response (IVR) version of the Quick Inventory of Depressive Symptomatology (QIDS-IVR) has been shown to be reliable, valid, and sensitive to change. An adolescent version of the QIDS (QIDS-A-IVR) was created using speaker-independent voice recognition technology. An informant version, QIDS-P-IVR, collects ratings from parents or other knowledgeable adults., Method: The study included 27 adolescents ranging from 12 to 17 years of age, 48% of whom were female. During a single office visit, adolescents completed the QIDS-A-IVR and parents completed the QIDS-P-IVR. A clinician completed the clinician-rated adult version of the QIDS separately for adolescents (QIDS-C-A) and parents (QIDS-C-P) and the Children's Depression Rating Scale-Revised (CDRS-R). The study was conducted from October 2005 to April 2006., Results: Cronbach alpha of the QIDS-A-IVR was .85. The QIDS-A-IVR correlated significantly with the QIDS-C-A (r = 0.95) and the CDRS-R (r = 0.76), both p < .01. Conversely, the correlations of the QIDS-A-IVR with the QIDS-P-IVR and the QIDS-C-P were small and nonsignificant. The QIDS-A-IVR required adolescents a mean of 6 minutes and 31 seconds to complete (SD = 41 seconds). The voice recognition technology correctly identified the adolescents' spoken words in 92% of the 483 spoken responses. The system recognized a response from all adolescents on all items., Conclusions: This study supports the reliability and validity of the QIDS-A-IVR as an adolescent depression measure. The QIDS-A-IVR may provide clinicians and researchers with a sound, technology-based method of assessing adolescent depression. Future research is needed on the informational value of parent ratings of adolescent depression.

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.

Purpose: We undertook a study to confirm and extend preliminary findings that participants with major depressive disorder (MDD) in primary care and specialty care settings have with equivalent degrees of depression severity and an indistinguishable constellation of symptoms., Methods: Baseline data were collected for a distinct validation cohort of 2,541 participants (42% primary care) from 14 US regional centers comprised of 41 clinic sites (18 primary care, 23 specialty care). Participants met broadly inclusive eligibility criteria requiring a Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, diagnosis of MDD and a minimum depressive symptom score on the 17-item Hamilton Rating Scale for Depression. The main outcome measures were the 30-item Inventory of Depressive Symptomatology--Clinician Rated and the Psychiatric Diagnostic Screening Questionnaire., Results: Primary care and specialty care participants had identical levels of moderately severe depression and identical distributions of depressive severity scores. Both primary care and specialty care participants showed considerable suicide risk, with specialty care participants even more likely to report prior suicide attempts. Core depressive symptoms or concurrent psychiatric disorders were not substantially different between settings. One half of participants in each setting had an anxiety disorder (48.6% primary care vs 51.6% specialty care, P = .143), with social phobia being the most common (25.3% primary care vs 32.1% specialty care, P = .002)., Conclusions: For outpatients with nonpsychotic MDD, depressive symptoms and severity vary little between primary care and specialty care settings. In this large, broadly inclusive US sample, the risk factors for chronic and recurrent depressive illness were frequently present, highlighting a clear risk for treatment resistance and the need for aggressive management strategies in both settings.

Objective: The prevalence of asthma and asthma-related mortality has increased in recent years. Data suggest an association between psychiatric symptoms in the caregiver and asthma-related hospitalizations in the child. We examined the prevalence of psychiatric symptoms and disorders and their relationship to asthma-related service utilization in caregivers of children hospitalized for asthma., Patients and Methods: Caregivers (n = 175) were assessed during the child's hospitalization. The number of asthma-related hospitalizations, emergency department visits, and unscheduled clinic visits in the past 12 months was obtained. The Brief Symptom Inventory, an assessment of psychiatric symptoms including somatic, anxiety, and depression subscales, and the Mini International Neuropsychiatric Interview, a structured clinical interview for psychiatric disorders, were administered., Results: Mean age of the caregivers was 34.2 +/- 7.3 years; 96.0% were women; 15.4% were white, 57.7% were black, and 26.3% were Hispanic. A total of 47.9% had incomes less than 25,000 dollars/year. Caregivers with clinically significant elevations in 2 or more Brief Symptom Inventory subscales reported more asthma-related child hospitalizations in the past 12 months than did caregivers with lower Brief Symptom Inventory scores. Asthma-related hospitalizations correlated with Brief Symptom Inventory total, somatic, anxiety, and depression subscale scores. Caregiver diagnosis of an anxiety disorder (n = 36) was associated with more asthma-related hospitalizations in the child. Children of caregivers with current depression (n = 44) had more unscheduled clinic visits than children of caregivers without depression., Conclusion: Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition-defined psychiatric disorders, particularly depressive disorders, were common in caregivers and associated with a greater frequency of asthma-related hospitalizations in the child.

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.

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.

Objective: This study examined data from the first 1,500 patients with major depressive disorder who were entered into the Sequenced Treatment Alternatives to Relieve Depression (STAR*D) and compared baseline characteristics of outpatients on the basis of their insurance status., Methods: We compared the demographic and clinical characteristics and the features of the presenting symptoms of outpatients with private insurance, public insurance, Medicaid and Medicare, or no insurance who were seeking treatment for depression., Results: Valid insurance data were available for 1,452 patients. Compared with patients with private insurance, patients with public or no insurance were more likely to be members of a racial or ethnic minority group, unmarried, less educated, and unemployed. Patients were more likely to attend primary care clinics if they had public insurance (46 percent) compared with private insurance (34 percent) or no insurance (30 percent). Compared with the other groups, patients with public insurance had the greatest number and severity of comorbid medical conditions. In general, compared with patients with private insurance, those with public or no insurance had greater severity of depression, more comorbid psychiatric symptoms, lower life satisfaction scores, and greater functional impairment. These findings remained after the analyses adjusted for gender, employment, comorbid medical conditions, race, and duration of illness., Conclusions: Compared with patients with private insurance, those with public or no insurance had a more chronic, more severe, and more disabling form of depression.

Purpose: No study has directly compared the clinical features of depression for patients entering clinical trials using identical enrollment criteria at primary care (PC) and specialty care (SC) settings. The Sequenced Treatment Alternatives to Relieve Depression (STAR*D) study (http://www.star-d.org) provides a unique opportunity to provide this comparison for patients with a major depressive disorder (MDD) requiring treatment., Subjects and Methods: We report baseline data for the first 1500 patients enrolled in this trial involving 41 clinic sites (18 PC, 23 SC). Broadly inclusive eligibility criteria required that patients have a DSM-IV diagnosis of nonpsychotic MDD, have not failed an adequate medication trial during their current episode and score>or=14 on the 17-item Hamilton Rating Scale for Depression (HAM-D17). Primary outcomes included the 30-item Inventory of Depressive Symptomatology-Clinician-Rated (IDS-C30) and the HAM-D17., Results: Specialty care and PC patients had equivalent degrees of depressive severity (IDS-C30=35.8; HAM-D17=20.4). Specialty care patients were almost twice as likely to report a prior suicide attempt than PC patients (21% vs. 12%, P<.0001) and slightly less likely to endorse suicidal ideation in the past week (45.0% vs. 50.8%, P=.006). The only other distinguishing core symptoms were a slightly lower likelihood of PC patients endorsing depressed mood (95.2% vs. 97.7%, P=.032) or anhedonia (66.3% vs. 70.7%, P=.042, IDS-C30) and a lower likelihood of PC patients endorsing weight loss (IDS-C30). HAM-D17 results were identical., Conclusion: Depressive severity was not different, and symptomatic presentations did not differ substantially. Major depressive disorder is more similar than different among patients at SC and PC settings. Thus, similar clinical and research methods for screening, detecting and measuring treatment outcomes can be applied in both settings.

Previous studies indicate that high frequency power (>20Hz) in the electroencephalogram (EEG) are associated with feature binding and attention. It has been hypothesized that hallucinations and perceptual abnormalities might be linked to irregularities in fast frequency activity. This study examines the power and distribution of high frequency activity (HFA) during sleep in healthy control subjects and unmedicated patients with schizophrenia and depression. This is a post-hoc analysis of an archival database collected under identical conditions. Groups were compared using multivariate analyses of covariance (MANCOVA) using group frequency by stage analysis. A multiple regression analyzed the association between HFA power and clinical symptoms. Schizophrenic (SZ) and major depressive disorder (MDD) patients showed significantly greater high frequency (HF) power than healthy controls (HC) in all sleep stages (p<0.0001). SZs also exhibited significantly greater HF power than MDD patients in all sleep stages except wakefulness (W) (p<0.05). In all groups, gamma (35-45Hz) power was greater in W, decreased during slow wave sleep (SWS) and decreased further during rapid eye movement (REM). Beta 2 (20-35 Hz) power was greater in W and REM than in SWS. Only positive symptoms exhibited an association with HF power. Elevated HFA during sleep in unmedicated patients with SZ and MDD is associated with positive symptoms of illness. It is not clear how HFA would change in relation to clinical improvement, and further study is needed to clarify the association of HFA to the state/trait characteristics of SZ and MDD.

BackgroundMajor depressive disorder (MDD) is a highly heterogenous disease, both in terms of clinical profiles and pathobiological alterations. Recently, immunometabolic dysregulations were shown to be correlated with atypical, energy-related symptoms but less so with the Melancholic or Anxious distress symptom dimensions of depression in The Netherlands Study of Depression and Anxiety (NESDA) study. In this study, we aimed to replicate these immunometabolic associations and to characterize the metabolomic correlates of each of the three MDD dimensions.MethodsUsing three clinical rating scales, Melancholic, and Anxious distress, and Immunometabolic (IMD) dimensions were characterized in 158 patients who participated in the Predictors of Remission to Individual and Combined Treatments (PReDICT) study and from whom plasma and serum samples were available. The NESDA-defined inflammatory index, a composite measure of interleukin-6 and C-reactive protein, was measured from pre-treatment plasma samples and a metabolomic profile was defined using serum samples analyzed on three metabolomics platforms targeting fatty acids and complex lipids, amino acids, acylcarnitines, and gut microbiome-derived metabolites among other metabolites of central metabolism.ResultsThe IMD clinical dimension and the inflammatory index were positively correlated (r = 0.19, p = 0.019) after controlling for age, sex, and body mass index, whereas the Melancholic and Anxious distress dimensions were not, replicating the previous NESDA findings. The three symptom dimensions had distinct metabolomic signatures using both univariate and set enrichment statistics. IMD severity correlated mainly with gut-derived metabolites and a few acylcarnitines and long chain saturated free fatty acids. Melancholia severity was significantly correlated with several phosphatidylcholines, primarily the ether-linked variety, lysophosphatidylcholines, as well as several amino acids. Anxious distress severity correlated with several medium and long chain free fatty acids, both saturated and polyunsaturated ones, sphingomyelins, as well as several amino acids and bile acids.ConclusionThe IMD dimension of depression appears reliably associated with markers of inflammation. Metabolomics provides powerful tools to inform about depression heterogeneity and molecular mechanisms related to clinical dimensions in MDD, which include a link to gut microbiome and lipids implicated in membrane structure and function.

BackgroundThe gut microbiome may play a role in the pathogenesis of neuropsychiatric diseases including major depressive disorder (MDD). Bile acids (BAs) are steroid acids that are synthesized in the liver from cholesterol and further processed by gut-bacterial enzymes, thus requiring both human and gut microbiome enzymatic processes in their metabolism. BAs participate in a range of important host functions such as lipid transport and metabolism, cellular signaling and regulation of energy homeostasis. BAs have recently been implicated in the pathophysiology of Alzheimer's and several other neuropsychiatric diseases, but the biochemical underpinnings of these gut microbiome-linked metabolites in the pathophysiology of depression and anxiety remains largely unknown.MethodUsing targeted metabolomics, we profiled primary and secondary BAs in the baseline serum samples of 208 untreated outpatients with MDD. We assessed the relationship of BA concentrations and the severity of depressive and anxiety symptoms as defined by the 17-item Hamilton Depression Rating Scale (HRSD17) and the 14-item Hamilton Anxiety Rating Scale (HRSA-Total), respectively. We also evaluated whether the baseline metabolic profile of BA informs about treatment outcomes.ResultsThe concentration of the primary BA chenodeoxycholic acid (CDCA) was significantly lower at baseline in both severely depressed (log2 fold difference (LFD) = -0.48; p = 0.021) and highly anxious (LFD = -0.43; p = 0.021) participants compared to participants with less severe symptoms. The gut bacteria-derived secondary BAs produced from CDCA such as lithocholic acid (LCA) and several of its metabolites, and their ratios to primary BAs, were significantly higher in the more anxious participants (LFD's range = [0.23, 1.36]; p's range = [6.85E-6, 1.86E-2]). The interaction analysis of HRSD17 and HRSA-Total suggested that the BA concentration differences were more strongly correlated to the symptoms of anxiety than depression. Significant differences in baseline CDCA (LFD = -0.87, p = 0.0009), isoLCA (LFD = -1.08, p = 0.016) and several BA ratios (LFD's range [0.46, 1.66], p's range [0.0003, 0.049]) differentiated treatment failures from remitters.ConclusionIn patients with MDD, BA profiles representing changes in gut microbiome compositions are associated with higher levels of anxiety and increased probability of first-line treatment failure. If confirmed, these findings suggest the possibility of developing gut microbiome-directed therapies for MDD characterized by gut dysbiosis.

Selective serotonin reuptake inhibitors (SSRIs) are the first-line treatment for major depressive disorder (MDD), yet their mechanisms of action are not fully understood and their therapeutic benefit varies among individuals. We used a targeted metabolomics approach utilizing a panel of 180 metabolites to gain insights into mechanisms of action and response to citalopram/escitalopram. Plasma samples from 136 participants with MDD enrolled into the Mayo Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS) were profiled at baseline and after 8 weeks of treatment. After treatment, we saw increased levels of short-chain acylcarnitines and decreased levels of medium-chain and long-chain acylcarnitines, suggesting an SSRI effect on β-oxidation and mitochondrial function. Amines-including arginine, proline, and methionine sulfoxide-were upregulated while serotonin and sarcosine were downregulated, suggesting an SSRI effect on urea cycle, one-carbon metabolism, and serotonin uptake. Eighteen lipids within the phosphatidylcholine (PC aa and ae) classes were upregulated. Changes in several lipid and amine levels correlated with changes in 17-item Hamilton Rating Scale for Depression scores (HRSD17). Differences in metabolic profiles at baseline and post-treatment were noted between participants who remitted (HRSD17 ≤ 7) and those who gained no meaningful benefits (

It is unknown whether indoles, metabolites of tryptophan that are derived entirely from bacterial metabolism in the gut, are associated with symptoms of depression and anxiety. Serum samples (baseline, 12 weeks) were drawn from participants (n = 196) randomized to treatment with cognitive behavioral therapy (CBT), escitalopram, or duloxetine for major depressive disorder. Baseline indoxyl sulfate abundance was positively correlated with severity of psychic anxiety and total anxiety and with resting state functional connectivity to a network that processes aversive stimuli (which includes the subcallosal cingulate cortex (SCC-FC), bilateral anterior insula, right anterior midcingulate cortex, and the right premotor areas). The relation between indoxyl sulfate and psychic anxiety was mediated only through the metabolite's effect on the SCC-FC with the premotor area. Baseline indole abundances were unrelated to post-treatment outcome measures, and changes in symptoms were not correlated with changes in indole concentrations. These results suggest that CBT and antidepressant medications relieve anxiety via mechanisms unrelated to modulation of indoles derived from gut microbiota; it remains possible that treatment-related improvement stems from their impact on other aspects of the gut microbiome. A peripheral gut microbiome-derived metabolite was associated with altered neural processing and with psychiatric symptom (anxiety) in humans, which provides further evidence that gut microbiome disruption can contribute to neuropsychiatric disorders that may require different therapeutic approaches. Given the exploratory nature of this study, findings should be replicated in confirmatory studies.Clinical trial NCT00360399 "Predictors of Antidepressant Treatment Response: The Emory CIDAR" https://clinicaltrials.gov/ct2/show/NCT00360399 .

Purpose: Major depressive disorder (MDD) is a leading cause of disability worldwide. An accurate assessment of depressive symptomology is crucial for clinical management and research. This study assessed the convergent validity, reliability, and total scale score interconversion across the 9-item Patient Health Questionnaire (PHQ-9) self-report, the 16-item Quick Inventory of Depressive Symptomatology-clinician report (QIDS-C) (two widely used clinical ratings) and the 5-item Very Brief Quick Inventory of Depressive Symptoms-clinician report (VQIDS-C), which evaluate the core features of MDD. Patients and Methods: This study leveraged electronic health record (EHR)-derived, de-identified data from the NeuroBlu Database (Version 23R1), a longitudinal behavioural health real-world platform. Classical Test Theory (CTT) and Item Response Theory (IRT) analyses were used to evaluate the reliability, validity of, and conversions between the scales. The Test Information Function (TIF) was calculated for each scale, with greater test information reflecting higher precision and reliability in measuring depressive symptomology. IRT was also used to generate conversion tables so that total scores on each scale could be compared to the other. Results: The study sample (n = 2,156) had an average age of 36.4 years (standard deviation [SD] = 13.0) and 59.7% were female. The mean depression scores for the PHQ-9, QIDS-C, and VQIDS-C were 12.9 (SD = 6.6), 12.0 (SD = 4.9), and 6.18 (SD = 3.2), respectively. The Cronbach's alpha coefficients for PHQ-9, QIDS-C, and VQIDS-C were 0.9, 0.8, and 0.7, respectively, suggesting acceptable internal consistency. PHQ-9 (TIF = 30.3) demonstrated the best assessment of depressive symptomology, followed by QIDS-C (TIF = 25.8) and VQIDS-C (TIF = 17.7). Conclusion: Overall, PHQ-9, QIDS-C, and VQIDS-C appear to be reliable and convertible measures of MDD symptomology within a US-based adult population in a real-world clinical setting. [ABSTRACT FROM AUTHOR]

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. [ABSTRACT FROM AUTHOR]

This study evaluated the psychometric properties of the 9-item Concise Health Risk Tracking Self-Report (CHRT-SR 9), a measure of suicidality, in adolescent psychiatric outpatients. Altogether, 933 depressed or suicidal adolescents (12–20 years of age), receiving treatment at psychiatric outpatient clinics in Texas, completed the 16-item CHRT-SR at baseline and one month later. CHRT-SR 9 was extracted from CHRT-SR 16 using multigroup confirmatory factor analysis. Sex and age measurement invariance, classical test theory, item response theory (IRT), and concurrent validity analyses (against the suicidal ideation Item 9 of Patient Health Questionnaire-Adolescent (PHQ-A)) were conducted. The CHRT-SR 9 demonstrated excellent model fit with four factors (pessimism, helplessness, despair, and suicidal thoughts). Measurement invariance was upheld. Acceptable item-total correlations (0.56–0.80) and internal consistency (Spearman-Brown 0.78–0.89) were revealed. IRT analyses showed a unidimensional instrument with excellent item performance. Using the CHRT-SR 9 total score as a measure of overall suicidality and comparing it against levels of PHQ-A Item 9, the mean (standard deviation) of CHRT-SR 9 total score was 8.64 (SD = 5.97) for no-risk (0 on Item 9), 17.05 (SD = 5.00) for mild, 23.16 (SD = 5.05) for moderate, and 26.96 (SD = 5.24) for severe-risk (3 on Item 9). Significant differences (p-value<0.0001) indicated that CHRT-SR 9 total score distinguished between levels of suicidal risk. Furthermore, CHRT-SR 9 was sensitive to change over a one-month period. Whether CHRT-SR 9 predicts actual suicidal attempts in adolescents is not well defined. The CHRT-SR 9 is an easy-to-administer, user-friendly self-report with good psychometric qualities which makes it an excellent screening measure of suicidal risk in adolescent psychiatric outpatients. • CHRT-SR 9 is a measure of suicidal risk in adolescent psychiatric outpatients. • It is brief, easy to comprehend, and simple to score. • It has excellent psychometric qualities and stable subscales. • It has high reliability, validity and is sensitive to change in suicidality over time. • It can be useful as a screening tool for suicide or to assess treatment outcomes. [ABSTRACT FROM AUTHOR]

Background: The gut microbiome may play a role in the pathogenesis of neuropsychiatric diseases including major depressive disorder (MDD). Bile acids (BAs) are steroid acids that are synthesized in the liver from cholesterol and further processed by gut-bacterial enzymes, thus requiring both human and gut microbiome enzymatic processes in their metabolism. BAs participate in a range of important host functions such as lipid transport and metabolism, cellular signaling and regulation of energy homeostasis. BAs have recently been implicated in the pathophysiology of Alzheimer's and several other neuropsychiatric diseases, but the biochemical underpinnings of these gut microbiome-linked metabolites in the pathophysiology of depression and anxiety remains largely unknown. Method: Using targeted metabolomics, we profiled primary and secondary BAs in the baseline serum samples of 208 untreated outpatients with MDD. We assessed the relationship of BA concentrations and the severity of depressive and anxiety symptoms as defined by the 17-item Hamilton Depression Rating Scale (HRSD17) and the 14-item Hamilton Anxiety Rating Scale (HRSA-Total), respectively. We also evaluated whether the baseline metabolic profile of BA informs about treatment outcomes. Results: The concentration of the primary BA chenodeoxycholic acid (CDCA) was significantly lower at baseline in both severely depressed (log2 fold difference (LFD) = −0.48; p = 0.021) and highly anxious (LFD = −0.43; p = 0.021) participants compared to participants with less severe symptoms. The gut bacteria-derived secondary BAs produced from CDCA such as lithocholic acid (LCA) and several of its metabolites, and their ratios to primary BAs, were significantly higher in the more anxious participants (LFD's range = [0.23, 1.36]; p's range = [6.85E-6, 1.86E-2]). The interaction analysis of HRSD17 and HRSA-Total suggested that the BA concentration differences were more strongly correlated to the symptoms of anxiety than depression. Significant differences in baseline CDCA (LFD = −0.87, p = 0.0009), isoLCA (LFD = −1.08, p = 0.016) and several BA ratios (LFD's range [0.46, 1.66], p's range [0.0003, 0.049]) differentiated treatment failures from remitters. Conclusion: In patients with MDD, BA profiles representing changes in gut microbiome compositions are associated with higher levels of anxiety and increased probability of first-line treatment failure. If confirmed, these findings suggest the possibility of developing gut microbiome-directed therapies for MDD characterized by gut dysbiosis. [ABSTRACT FROM AUTHOR]