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Symptoms of irritability, anxiety, panic, and insomnia are common in patients with depression, and their worsening after antidepressant treatment initiation is associated with poorer long-term outcomes. The Concise Associated Symptom Tracking (CAST) scale was developed to measure these symptoms in adults with major depressive disorder (MDD). Here, we evaluate the psychometric properties of CAST in an ongoing community-based observational study involving children, adolescents, and young adults. Individuals from the ongoing Texas Youth Depression and Suicide Research Network (TX-YDSRN; N = 952) with CAST data available were included. Fit statistics [Goodness of Fit Index (GFI), Comparative Fit Index (CFI), and Root Mean Square Error of Approximation (RMSEA)] from confirmatory factor analyses were used to evaluate the five- and four-domain structure of CAST. Item response theory (IRT) analyses were also used. Individuals were grouped based on age (in years) as youths (8–17) and young adults (18–20). Correlations with other clinical measures were used to inform construct validity. Four-domain (irritability, anxiety, panic, and insomnia) 12-item structure of CAST (CAST-12) was optimal for youths (N = 709, GFI = 0.906, CFI = 0.919, RMSEA = 0.095) and young adults (N = 243, GFI = 0.921, CFI = 0.938, RMSEA = 0.0797) with Cronbach's alpha of 0.87 and 0.88, respectively. Slope of each item exceeded 1.0 on IRT analyses suggesting adequate discrimination for each item. Scores on irritability, anxiety, panic, and insomnia were significantly correlated with similar items on other scales. Together these findings suggest that CAST-12 is a valid self-report measure of irritability, anxiety, insomnia, and panic in youths and young adults. • Study of Concise Associated Symptom Tracking (CAST) in youths and young adults. • Self-report measure of anxiety, irritability, insomnia and panic using 12 items. • Psychometric tests support four-domain structure of CAST-12. • Cronbach's alpha of 0.87 and 0.88 suggest strong internal consistency. • Strong association of domain score with other measures support construct validity. [ABSTRACT FROM AUTHOR]

Objective: To evaluate the impact of baseline irritability on clinical outcomes in adults with treatment-resistant depression (TRD) treated with fixed or flexible doses of esketamine nasal spray plus a newly initiated oral antidepressant (ESK+AD) and to explore whether treatment with ESK affects irritability symptoms over time.Methods: This was a post hoc analysis of pooled data from two 4-week, double-blind, phase 3 studies: TRANSFORM-1 (NCT02417064) and TRANSFORM-2 (NCT02418585). Adults with TRD (n = 560) were randomly assigned to ESK+AD or placebo nasal spray plus oral antidepressant (AD+PBO). Irritability was assessed with Item 6 of the 7-item Generalized Anxiety Disorder scale at screening and baseline. Changes in depression severity (Montgomery-Åsberg Depression Rating Scale [MADRS] total score) were evaluated by analysis of covariance (ANCOVA) models. Rates of MADRS response (≥50 % decrease from baseline total score) and remission (total score ≤ 12) were examined using multiple logistic regression models.Results: Of 560 participants with TRD, 52.9 %, 23.2 %, and 23.9 % had high, low, and varying levels of irritability, respectively. No significant interaction between baseline irritability and treatment group was observed for change in MADRS total score, treatment response, or remission at day 28; numerically greater improvement was observed on all outcomes with ESK+AD versus AD+PBO at day 28 regardless of baseline irritability level. Percentages of patients reporting adverse events were similar across the three baseline irritability groups.Limitations: TRANSFORM-1 and TRANSFORM-2 were not designed to prospectively evaluate predetermined irritability outcomes.Conclusions: These post hoc results support efficacy of ESK+AD in patients with TRD, regardless of baseline irritability.Trial Registration: ClinicalTrials.gov identifiers: NCT02417064 (TRANSFORM-1), NCT02418585 (TRANSFORM-2). [ABSTRACT FROM AUTHOR]

This report from VitalSign6 project describes treatment selection, follow-up rates and remission outcomes by initial depression severity using the PCP-FIRST model. This retrospective analysis included 32,106 patients aged ≥12 years screened with the Patient Health Questionnaire 2-item (PHQ-2) from November 2016 to July 2019 across 37 primary care clinics. PHQ-2 positive-screen patients (PHQ-2 ≥ 3) received 9-item PHQ (PHQ-9) and 7-item Generalized Anxiety Disorder scales, clinician assessments, and evaluation for pharmacotherapy management with measurement-based care (MBC). Of PHQ-2 screened patients, 18.7% (5994/32,106) were positive and received a PHQ-9. Of 5994 patients with PHQ-9, 2571 received a clinical diagnosis of depression of whom, 333 had none-mild depression (PHQ-9 < 10) and 2238 had moderate-severe depression (PHQ-9 ≥ 10). Of the 333 patients with none-mild depression and 2238 patients with moderate-severe depression, 266 and 1929 had at least 18 weeks of data available. Of these, 54.9% (146/266) with none-mild depression and 69.1% (1332/1929) with moderate-severe depression were started on pharmacotherapy. Of the 1478 patients with clinical diagnosis of depression, initiated on pharmacotherapy, 1046 returned for ≥1 follow-up and 616 returned for ≥3 follow-ups over 18 weeks. Of the 1046 patients with ≥1 follow-up visit within 18 weeks, remission rates for patients with mild depression, moderate-severe depression, and overall were 55.6% (66/99), 30% (282/941), and 32.4% (338/1040) respectively. Despite this being a real-world, usual care sample, remission outcomes exceed real world remission rate expectations of 6% in primary care. • Continual implementation of PCP-First improves depression attrition and treatment. • Remission rates are comparable between PCP-First and real-world collaborative care. • Overall depression remission (41.3%) exceed real-world rates (6%) in primary care. • Of PCP-First none-mildly depressed patients, 58.1% remitted within 18 weeks. • Of PCP-First moderate-severely depressed patients, 30% remitted within 18 weeks. [ABSTRACT FROM AUTHOR]

Deaths due to suicide are one of the leading causes of mortality among youths and young adults. Active suicidal ideation (SI) is considered one of the strongest risk factors for suicide. Here, we evaluated the neurocircuitry of SI in a sample of youths and young adults (aged 10–26 years) with current or past diagnosis of either major depression or bipolar disorder who were enrolled in Texas Resilience Against Depression Study (T-RAD), and had neuroimaging and SI (assessed with the 3-item Suicidal Thoughts factor of Concise Health Risk Tracking self-report scale) data available (n = 72, 53 females). Resting-state functional connectivity (FC) was computed amongst 121 cortical and subcortical regions of interest resulting in 7260 FC pairs. Mean (SD) age and SI levels of participants were 19.6 years (4.01) and 1.48 (2.36) respectively. In univariate analyses, 34 out of the 7260 FC pairs were correlated with SI (p <.005). Stronger connectivity of default mode network (DMN) with striatum was associated with higher SI. Conversely, higher SI was associated with weaker connectivity of limbic network with hippocampus, DMN, dorsal attention network, and executive control network. In multivariate analyses, these 34 FC pairs together had an average correlation of 0.54 after five-fold cross-validation. In conclusion, SI was associated with distinct patterns of resting-state functional connectivity among youths and young adults with regions in DMN and the ventral striatum as key nodes. [ABSTRACT FROM AUTHOR]

Background: This report evaluated whether irritability in adults with stimulant use disorder is associated with suicidal ideation (SI) at the same visit (i.e., concurrently) and whether early changes in irritability predict subsequent levels of SI.Methods: Adults with stimulant use disorder (n=302) from nine residential addiction treatment programs were included. Participants were randomized to augmentation of usual care with dosed exercise or health education intervention. Irritability, SI, and depression were measured every week with 5-item irritability domain of Concise Associated Symptom Tracking scale, 3-item suicidal thoughts factor of Concise Health Risk Tracking scale, and 16-item Quick Inventory of Depressive Symptomatology Clinician-Rated version (excluding the suicide-related item) respectively during acute-(baseline-to-week-12) and continuation-(week-12-to-week-36) phase. Covariates included age, sex, race, ethnicity, treatment arm, type of substance(s) used, and comorbid psychiatric and medical disorders.Results: Higher irritability was associated with higher SI concurrently both in the acute-phase: r=0.28 (p<0.0001) and in the continuation-phase: r=0.33 (p<0.0001). Irritability was associated with concurrent SI after controlling for depression [acute-phase: β=0.17 (p<0.0001); continuation-phase: β=0.18 (p<0.0001)]. Greater baseline-to-week-2 reductions in irritability predicted lower levels of SI from week-2-to-week-12 (β=-0.11, p=0.003) and from week-12-to-week-36 (β=-0.22, p<0.0001) after controlling for baseline levels of depression and SI and baseline-to-week-2 changes in depression and SI.Limitations: Secondary analyses, self-report measures of irritability and SI, limited generalizability.Conclusions: Irritability is associated with SI concurrently, and greater reductions in irritability earlier in treatment are associated with lower levels of subsequent SI. Therefore, targeting irritability may reduce suicidality in adults with stimulant use disorder. [ABSTRACT FROM AUTHOR]

Abstract Peripheral inflammation is associated with poor response to antidepressant treatments. However, whether sex differentially affects this association remains unknown. Participants of Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care (EMBARC) with baseline plasma samples were included in this study (n = 220; male n = 75, female n = 145). Depression severity [Hamilton Rating Scale for Depression 17-item (HAMD-17)] was measured at baseline and weeks- 1, 2, 3, 4, 6, and 8. Plasma c-reactive protein (CRP) was measured with commercially-available ELISA kits at baseline, week-1, and week-8. Sex difference in prediction of baseline-to-week-8 HAMD-17 change by baseline CRP was tested with sex-by-baseline-CRP-by-time interaction in mixed model analysis. Additionally, changes in CRP from baseline-to-week-8 CRP and its association with HAMD-17 changes over that period were also evaluated. Covariates included body mass index, site, smoking status, and age. There was a significant sex difference in association of baseline-to-week-8 HAMD-17 reduction with baseline CRP (p = 0.033). Higher baseline CRP was associated with lower baseline-to-week-8 HAMD-17 reduction in females (p < 0.0001) but not in males (p = 0.632). Additionally, CRP was significantly reduced (p = 0.041, effect size = 0.254) from baseline-to-week-8, but there were no sex differences in this reduction (p = 0.249). Baseline-to-week-8 changes in HAMD-17 and CRP were not significantly associated either overall (p = 0.348) or based on sex (p = 0.370). In a large study of depressed outpatients, we replicated previous findings that elevated baseline CRP levels are associated with worse antidepressant treatment outcomes. However, this effect was limited only to females. These findings emphasize the importance of studying sex differences in biological mechanisms linking inflammation and depression. Highlights • Higher baseline CRP predicts worse acute-phase antidepressant outcomes. • This association is limited to female patients with major depressive disorder. • Reduction in CRP with antidepressant treatment did not differ on the basis of sex. • Baseline-to-week-8 changes in depression and CRP were not significantly correlated. [ABSTRACT FROM AUTHOR]

Depression is a common problem in patients with cardiovascular disease (CVD) and is associated with increased mortality, excess disability, greater health care expenditures, and reduced quality of life. Depression is present in 1 of 5 patients with coronary artery disease, peripheral artery disease, and heart failure. Depression complicates the optimal management of CVD by worsening cardiovascular risk factors and decreasing adherence to healthy lifestyles and evidence-based medical therapies. As such, standardized screening pathways for depression in patients with CVD offer the potential for early identification and optimal management of depression to improve health outcomes. Unfortunately, the burden of depression in patients with CVD is under-recognized; as a result, screening and management strategies targeting depression have been poorly implemented in patients with CVD. In this review, the authors discuss a practical approach for the screening and management of depression in patients with CVD. [ABSTRACT FROM AUTHOR]

Objective Among individual depressive symptoms, anhedonia has been reliably associated with activation of the innate immune response. However, it is unclear whether this association extends to T cell cytokines and if gender differentially affects this association. Method Concentrations of T (IL-17, T-helper (Th) 1- and Th2-) and non-T cell cytokines were measured in plasma using the Bioplex Pro™ human cytokine multiplex kit in Combining Medications to Enhance Depression Outcomes (CO-MED) trial participants who provided plasma at baseline (n = 166). Anhedonia was measured with three items of the clinician-rated Inventory of Depressive Symptomatology and depression severity (minus anhedonia item) was measured with Quick Inventory of Depression Severity Self-Report version (modified-QIDS-SR). Separate generalized linear models for anhedonia and modified-QIDS-SR as dependent variables were conducted with IL-17, Th1-, Th2-, and non-T cell- cytokines as primary independent variables and gender, body mass index (BMI), and age as covariates. Exploratory analyses included gender-by-biomarker interactions. Results Higher levels of IL-17 (p = 0.032), Th1- (p = 0.002), Th2-(p = 0.001) and non-T-(p = 0.009) cell markers were associated with greater severity of anhedonia controlling for BMI, age, and gender. Gender also had a significant main effect on anhedonia, however, there was a significant gender by immune marker interaction only for IL-17 (p = 0.050). Anhedonia severity increased with higher IL-17 in males (r = 0.42, p = 0.003) but not in females (r = 0.09, p = 0.336). Only non-T cell markers were associated with the modified-QIDS-SR, and there were no significant gender-specific associations with this variable. Conclusions T and non-T cell-related inflammatory markers were associated with greater severity of anhedonia, while gender moderated the association of IL-17 with anhedonia in patients with major depressive disorder. [ABSTRACT FROM AUTHOR]

Animal and human studies suggest an association between depression and aberrant immune response. Further, common inflammatory markers may change during the course of antidepressant treatment in patients. The objective of this study was to evaluate changes in inflammatory markers and clinical outcomes from subjects enrolled in the Combining Medications to Enhance Depression Outcome (CO-MED) trial. At baseline and week 12 (treatment completion), plasma samples of 102 participants were analyzed via a multiplex assay comprised of inflammatory markers using a 27-plex standard assay panel plus a 4-plex human acute phase xMAP technology based platform. We carried out analyses in two steps. First, t-tests were used to identify inflammatory marker levels that changed between baseline and week 12. For markers that were altered, logistic regression models were then conducted to look for associated changes in remission at week 12. Among the 31 inflammatory markers analyzed, several cytokines (IL-5, IFN-γ, IL-13), two chemokines (Eotaxin-1/CCL11, RANTES) and an acute-phase reactant (serum amyloid P component) showed change from baseline to week 12. However, only two indicated differential remission responses. Interestingly, increased levels of Eotaxin-1/CCL11 correlated with remission at week 12, whereas decreased levels of IFN-γ correlated with non-remission at week 12. Results suggest that these inflammatory proteins may serve as predictors of treatment response. [ABSTRACT FROM AUTHOR]

Objective Currently, no valid measures inform treatment selection for depressed patients. Whether C-reactive protein (CRP) in particular and two other acute phase reactants (inflammatory markers) could differentiate between patients responding to either of two treatments with different mechanisms of action was assessed. Method Subjects included Combining Medications to Enhance Depression Outcomes (CO-MED) trial participants randomly assigned to either escitalopram plus placebo (SSRI monotherapy, n = 51) or bupropion plus escitalopram combination (bupropion-SSRI combination, n = 55) with baseline plasma samples. CRP, serum amyloid P component, and alpha-2-macroglobulin were measured using the Bioplex Pro™ human acute-phase 4-plex panel. We conducted mixed model analyses of depressive symptom (Quick Inventory of Depressive Symptomatology Self-Report) and side-effect burden (Frequency, Intensity, and Burden of Side-Effects Rating Scale) obtained weekly or every other week over the 12-week acute-phase of CO-MED trial to evaluate the relationship between these outcomes and baseline CRP and other acute-phase reactants. Results The treatment arms did not differ in depressive symptom or side effect outcomes. Most participants (69.8%, 74/106) had baseline CRP levels greater than 1 mg/L (indicative of systemic inflammatory activity). Higher baseline CRP levels were associated lower depression severity (correlation coefficient = −0.63) with bupropion-SSRI combination but not with SSRI monotherapy (correlation coefficient = 0.40). The overall remission rate was 41.5%. The estimated remission rate with CRP threshold based assignment (SSRI monotherapy for <1 mg/L and Bupropion-SSRI for ≥1 mg/L) was 53.1%, with a number needed to treat of 8.6. Side effect burden was unrelated to any baseline inflammatory marker. Conclusions Baseline CRP levels relate differentially to antidepressant treatment outcomes in persons with major depressive disorder. Clinicaltrials.gov identifier: NCT00590863 [ABSTRACT FROM AUTHOR]

Diabetes has been linked to accelerated brain aging, i.e., neuroimaging-predicted age of brain is higher than chronological age. This report evaluated whether accelerated brain aging in diabetes is associated with higher levels of glycated hemoglobin (HbA1c) and increased mortality. Brain age in Dallas Heart Study (n = 1949) was estimated using T1-weighted magnetic resonance imaging (MRI) scans and a previously-published Gaussian Processes Regression model. Accelerated brain aging (adjusted Δ brain age) was computed as follows: (brain age adjusted for chronological age)-minus-(chronological age). Mortality data until 12/31/2016 were obtained from the National Death Index. Associations of adjusted Δ brain age with diabetes in full sample and with HbA1c in individuals with diabetes were evaluated. Proportion of association between diabetes and all-cause mortality that was accounted for by adjusted Δ brain age were evaluated with mediation analyses. Covariates included Framingham 10-year risk score, race/ethnicity, income, body mass index, and history of myocardial infarction. Diabetes was associated with] higher adjusted Δ brain age [estimate= 1.79; 95% confidence interval (CI): 0.889, 2.68]. Among those with diabetes, higher HbA1c (log-base-2-transformed) was associated with higher adjusted Δ brain age (estimate=3.88; 95% CI: 1.47, 6.30). Over a median follow-up of 97.5 months, 24/246 (9.8%) with diabetes and 63/1703 (3.7%) without diabetes died. Adjusted Δ brain age accounted for 65.3 (95% CI: 39.3, 100.0)% of the association between diabetes and all-cause mortality. Accelerated brain aging may be related to poor glycemic control in diabetes and partly account for the association between diabetes and all-cause mortality. • Participants with diabetes had older-appearing brain age than those without. • Poorer glycemic control was associated with more accelerated brain aging. • Accelerated brain aging accounted for association between diabetes and mortality. [ABSTRACT FROM AUTHOR]

Evaluate whether early improvement in irritability predicts improvement in depression severity in a naturalistic sample of adolescents undergoing pharmacologic treatment for major depressive disorder. Adolescents (N = 161) aged 13–18 years with a moderate to severe depressive episode were enrolled. Outcome measures included the Children's Depression Rating Scale-Revised (CDRS-R), Quick Inventory of Depressive Symptomatology (QIDS - A 17), and Clinical Global Impression scale (CGI). Paired t -tests were used to estimate the change in irritability items from baseline to week-4, and Cohen's d effect sizes were computed. Separate linear regression analyses with CDRS-R, QIDS-A 17 , and CGI at week-8 as the dependent variables and baseline levels of irritability and baseline-to-week-4 changes in irritability as independent variables of interest were conducted. These analyses were repeated after controlling for overall depression severity (minus the irritability item) at baseline and baseline to week-4 change. Greater baseline to week-4 reduction in irritability was associated with lower levels of CDRS-R, QIDS-A 17 , and CGI at week-8. These findings were significant for QIDS-A 17 and CGI even after controlling for baseline-to-week-4 changes in other depressive symptoms. The single item evaluation of irritability reduced assessment reliability in the absence of validated measures of irritability. Early reduction in irritability is strongly associated with better outcomes in depressed youths, regardless of baseline depression severity. Further research is needed to quantify the burden of irritability, explore it as a tool for measurement-based care, and to develop targeted treatments for irritability. • Irritability decreases in treated youths with MDD regardless of baseline depression. • Early reduction in irritability predicted depression severity after 8 weeks. • Early reduction in irritability was a predictor of overall improvement of disease. [ABSTRACT FROM AUTHOR]

To address the clinical heterogeneity of Major Depressive Disorder (MDD), this investigation determined whether resting state functional magnetic resonance imaging (fMRI) could be deployed to identify circuit based homogeneous subgroups, and whether subgroups identified show differential treatment outcomes. Pretreatment resting state fMRIs obtained from 278 outpatients with nonpsychotic MDD from Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care for Depression Study were used to create data-driven subgroups using CLICK clustering. These subgroups were then compared using baseline clinical data, as well as baseline-to-week 8 changes in depression severity measured using the 17-item Hamilton Rating Scale for Depression (HAMD 17) and response/remission rates by treatment group. Three subgroups were identified. Cluster-1 was characterized by overall hyper connectivity coupled with profound hypoconnectivity between the supramarginal gyrus (executive control network; ECN) and the superior frontal cortex (dorsal attention network; DAN). Cluster-2 was characterized by overall hypoconnectivity coupled with hyperconnectivity between supramarginal gyrus (ECN) and superior frontal cortex (DAN). Cluster-3 showed hypoconnectivity, especially profound between the angular cortex (default mode network; DMN) and middle frontal cortex (ECN). While baseline clinical measures did not differentiate the three clusters, Cluster-3 had the remission rate (51.6%) compared to Cluster-1 and Cluster-2 (32.7% and 31.9%) when treated with sertraline. Due to the exploratory nature of these analyses, there were no adjustments for multiple comparisons. Baseline functional connectivity can be used to subgroup patients with MDD that differ in acute phase treatment outcomes. Measures of connectivity may address the heterogeneity of MDD. [ABSTRACT FROM AUTHOR]

The habenula-pancreas axis regulates the stimulatory effects of nicotine on blood glucose levels and may participate in the emergence of type 2 diabetes in human tobacco smokers. This secondary analysis of young adults from the Human Connectome Project (HCP-YA) evaluated whether smoking status links the relationship between habenular volume and glycated hemoglobin (HbA1c), a marker of long-term glycemic control. Habenula segmentation was performed using a fully-automated myelin content-based approach in HCP-YA participants and the results were inspected visually (n = 693; aged 22–37 years). A linear regression analysis was used with habenular volume as the dependent variable, the smoking-by-HbA1c interaction as the independent variable of interest, and age, gender, race, ethnicity, education, income, employment status, body mass index, and total gray matter volume as covariates. Habenula volume and HbA1c were similar in smokers and nonsmokers. There was a significant interaction effect (F (1, 673) = 5.03, p = 0.025) indicating that habenular volume was related to HbA1c in a manner that depended on smoking status. Among participants who were smokers (n = 120), higher HbA1c was associated with apparently larger habenular volume (β = 6.74, standard error=2.36, p = 0.005). No such association between habenular volume and HbA1c was noted among participants who were nonsmokers (n = 573). Blood glucose levels over an extended time period, reflected by HbA1c, were correlated with habenular volume in smokers, consistent with a relationship between the habenula and blood glucose homeostasis in smokers. Future studies are needed to evaluate how habenular function relates to glycemic control in smokers and nonsmokers. • Smoking-status modulated the link between habenular volume and glycated hemoglobin (HbA1c). • Higher HbA1c was associated with apparently larger habenular volume in smokers. • No association between HbA1c and habenular volume in nonsmokers. [ABSTRACT FROM AUTHOR]

• Accelerated brain aging is the difference between T1-predicted brain age and chronological age. • Higher body mass index (BMI) was associated with more accelerated brain aging. • Association between BMI and brain aging was stronger in males vs. females. This report evaluated sex-specific differences in the association between brain aging and body mass index (BMI) in young adults using the publicly available data from the Human Connectome Project (HCP). Participants of HCP with available structural imaging and BMI data were included [n = 1112; mean age = 28.80 (SD = 3.70); mean BMI = 26.53 (SD = 5.20); males n = 507, females n = 605]. Predicted brain age was generated using raw T1-weighted MRI scan and a Gaussian Processes regression model. The difference (Δ aging) between brain age predicted by structural imaging and chronological age was computed. A linear regression model was used with Δ aging as the dependent variable, and sex, BMI, and BMI-by-sex interaction as independent variables of interest, and race, ethnicity, income, and education as covariates. There was a significant BMI-by-sex interaction for Δ aging (p = 0.041). Higher BMI was associated with greater brain aging in both sexes. However, this association was substantially stronger in males (β = 0.215; SE = 0.050; p < 0.0001) than in females (β = 0.122; SE = 0.035; p = 0.0005). We found evidence suggesting that higher BMI is associated with greater brain aging in adults. Furthermore, the association between higher BMI and greater brain aging was stronger in males than in females. Future studies are needed to explore the mechanistic pathways that link higher BMI to greater brain aging and whether weight-loss interventions, such as exercise, can reverse higher BMI-associated greater brain aging. [ABSTRACT FROM AUTHOR]

• Interleukin 4 (IL-4) levels are lower in adolescents and young adults with depression and suicidality. • Other inflammation-related markers didn't differ in those with recent suicidality vs. healthy controls and those at-risk. • IL-4 levels were negatively correlated with self-reported depression severity. • Lower IL-4 levels were associated with higher autoantibody levels in an unrelated sample of depressed outpatients. Immune system dysfunction has been implicated in the pathophysiology of suicide behavior. Here, we conducted an exploratory analysis of immune profile differences of three groups of adolescents and young adults (ages 10–25 years): healthy controls (n = 39), at risk of major depressive disorder (MDD; at-risk, n = 33), and MDD with recent suicide behavior/ ideation (suicide behavior, n = 37). Plasma samples were assayed for chemokines and cytokines using Bio-Plex Pro Human Chemokine 40-plex assay. Log-transformed cytokine and chemokine levels were compared after controlling for age, gender, body mass index, race, ethnicity, and C-reactive protein (CRP) levels. In post-hoc analyses to understand the effect of dysregulated immune markers identified in this exploratory analysis, their association with autoantibodies was tested in an unrelated sample (n = 166). Only levels of interleukin 4 (IL-4) differed significantly among the three groups [false discovery rate (FDR) adjusted p = 0.0007]. Participants with suicide behavior had lower IL-4 [median = 16.8 pg/ml, interquartile range (IQR) = 7.9] levels than healthy controls (median = 29.1 pg/ml, IQR = 16.1, effect size [ES] = 1.30) and those at-risk (median = 24.4 pg/ml, IQR = 16.3, ES = 1.03). IL-4 levels were negatively correlated with depression severity (r= −0.38, p = 0.024). In an unrelated sample of outpatients with MDD, levels of IL-4 were negatively correlated (all FDR p < 0.05) with several autoantibodies [54/117 in total and 12/18 against innate immune markers]. Adolescent and young adult patients with recent suicide behavior exhibit lower IL-4 levels. One biological consequence of reduced IL-4 levels may be increased risk of autoimmunity. [ABSTRACT FROM AUTHOR]

Depression has a chronic and recurrent course often with early onset and is the leading cause of disability worldwide. In contrast to diagnoses for other conditions which rely on precise medical tests, the diagnosis of depression still focuses exclusively on symptom reports. As a result, heterogeneous patient groups are included under broad categories. Furthermore, in the absence of companion diagnostic tests, choosing specific treatments for patients remains imprecise with only one-third of patients entering remission with initial treatment, with others requiring multiple intervention steps to achieve remission. In addition to improving treatment outcomes, disease prevention is essential to reduce overall disease burden. Adolescence is a critical window where complex emotional, social, familial, and biological shifts may predispose to lifelong depression. Thus, personalized medicine, integrating individual variability in genes, brain function, and clinical phenotypes, can offer a comprehensive approach to provide precise diagnosis, novel drug development, optimal treatment assignment, and prevention of illness and its associated burden. Texas Resilience Against Depression study (T-RAD) encompasses two natural history, longitudinal (10 + years), prospective studies (D2K and RAD), each enrolling 2500 participants. The D2K study follows participants (ages 10 years and older) who have a current or past diagnosis of depression or bipolar disorder. The RAD study follows participants aged 10–24 years who are at risk for depression but not yet suffering from the disease. The T-RAD study will help to uncover the socio-demographic, lifestyle, clinical, psychological, and neurobiological factors that contribute to mood disorder onset, recurrence, progression, and differential treatment response. [ABSTRACT FROM AUTHOR]

Objective: To develop and evaluate a new brief self-report measure of satisfaction/quality of life in depressed outpatients.Methods: Using the Quality of Life Enjoyment and Satisfaction Questionnaire Short-Form (Q-LES-Q-SF) self-report from Step-1 (n = 2181) of the STAR*D trial, items were selected based on their magnitude of change with treatment and correlation with 16-item Quick Inventory of Depressive Symptomatology Self-Report (QIDS-SR16). Psychometric analyses were conducted. Replication of scale performance was assessed with STAR*D Step-2 data (n = 250).Results: The 7 items selected ("Mini-Q-LES-Q") rated satisfaction with work, household activities, social and family relations, leisure time activities, daily function and sense of well-being in the past week. This uni-dimensional scale captured 83-94% variance in Q-LES-Q-SF and had acceptable Item Response and Classical Test Theory characteristics. Baseline to exit percent changes in the Mini-Q-LES-Q and the QIDS-SR16 were significantly, modestly related (r = -0.552) (Step-1) and replicated (r = -0.562) (Step-2). The Mini-Q-LES-Q detected the expected improvement in satisfaction/quality of life in acute treatment, yet also identified residual deficits expected in many at acute-phase exit.Limitations: Population norms are yet undefined. Concurrent validity with detailed, well-validated scales that assess the seven Quality of Life domains incorporated in the Mini-Q-LES-Q remains unestablished. Sensitivity to symptom changes induced by psychotherapy or somatic therapies or sensitive to the effects of therapies aimed at enhancing quality of life enjoyment and function is unknown.Conclusion: The 7-item Mini-Q-LES-Q self-report measure satisfaction/quality of life has acceptable psychometric properties, reflects change with depressive symptom reduction, and detects residual deficits in this key clinical outcome. [ABSTRACT FROM AUTHOR]

Although insomnia is a common core symptom of major depressive disorder (MDD), the burden of moderate-to-severe insomnia symptoms in patients with MDD is not well-understood. This study quantified the clinical, patient-centric, and economic burden of adults with MDD with moderate-to-severe insomnia symptoms (MDDIS) compared to adults with MDD with no-to-mild insomnia symptoms (other-MDD) and adults without MDD. Data from 2019 US National Health and Wellness Survey identified adults self-reporting physician-diagnosed depression, stratified by insomnia status (MDDIS: Insomnia Severity Index [ISI] score ≥15; other-MDD: ISI score <15), and adults not reporting depression (non-MDD). Other-MDD and non-MDD were matched 2:1 to MDDIS on age/sex/race. Matched bivariate analyses examined differences in health-related outcomes by depression-insomnia status. Of 74,994 survey respondents, 2045 (2.7%) were classified as MDDIS, 8220 (11.0%) as other-MDD, and 59,859 (79.8%) as non-MDD. MDDIS respondents (vs other-MDD and non-MDD) reported greater depression severity, anxiety severity, daytime sleepiness, activity impairment, direct costs, and costs due to work productivity impairments, and lower mental and physical functioning (all P < 0.05). Depression diagnosis was not based on clinical/diagnostic interview; causal relationships cannot be determined due to the cross-sectional design. Among US adults with MDD, presence of moderate-to-severe insomnia symptoms is associated with additional burden and notable impairments across several health outcomes versus those with MDD but no-to-minimal insomnia symptoms and general population without MDD. This study highlights the burden of MDDIS and the need for better identification and management of moderate-to-severe insomnia symptoms in adults with MDD. • This study quantifies the burden of MDD with moderate-to-severe insomnia (MDDIS) • Higher depressive, anxiety, and daytime sleepiness symptoms in adults with MDDIS • Higher direct costs and work productivity impairment costs in adults with MDDIS • Lower mental and physical functioning in adults with MDDIS • Burden of MDDIS was significant even when controlling for other depressive symptoms [ABSTRACT FROM AUTHOR]

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. 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. 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. 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. [ABSTRACT FROM AUTHOR]

The lack of biomarkers to inform antidepressant selection is a key challenge in personalized depression treatment. This work identifies candidate biomarkers by building deep learning predictors of individual treatment outcomes using reward processing measures from functional magnetic resonance imaging, clinical assessments, and demographics. Participants in the EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study (n = 222) underwent reward processing task-based functional magnetic resonance imaging at baseline and were randomized to 8 weeks of sertraline (n = 106) or placebo (n = 116). Subsequently, sertraline nonresponders (n = 37) switched to 8 weeks of bupropion. The change in Hamilton Depression Rating Scale was measured after treatment. Reward processing, clinical measurements, and demographics were used to train treatment-specific deep learning models. The predictive model for sertraline achieved R 2 of 48% (95% CI, 33%–61%; p < 10−3) in predicting the change in Hamilton Depression Rating Scale and number-needed-to-treat (NNT) of 4.86 participants in predicting response. The placebo model achieved R 2 of 28% (95% CI, 15%–42%; p < 10−3) and NNT of 2.95 in predicting response. The bupropion model achieved R 2 of 34% (95% CI, 10%–59%, p < 10−3) and NNT of 1.68 in predicting response. Brain regions where reward processing activity was predictive included the prefrontal cortex and cerebellar crus 1 for sertraline and the cingulate cortex, caudate, orbitofrontal cortex, and crus 1 for bupropion. These findings demonstrate the utility of reward processing measurements and deep learning to predict antidepressant outcomes and to form multimodal treatment biomarkers. [ABSTRACT FROM AUTHOR]

Several self-report rating scales have been developed to assess suicidal ideation, yet most have limited utility in predicting future suicide attempts. This is particularly critical in adolescence, where suicide is the second leading cause of death. This study evaluated the Concise Health Risk Tracking Self-Report (CHRT-SR) as a prospective predictor of suicide attempts and events in high-risk adolescents enrolled in a suicide-prevention intensive outpatient program (IOP). Data were collected by retrospective chart review of adolescents treated in IOP for youth with severe suicidality. At baseline, youth completed the 14-item CHRT-SR (CHRT-SR 14), which assesses suicide risk based on 3 subscales: Propensity, Impulsivity, and Suicidal Thoughts. Two outcomes were assessed: actual suicide attempts and suicidal events (suicide attempt, inpatient hospitalization, or emergency department visit) during the IOP. Of the 251 adolescents who completed the baseline CHRT-SR 14 , 26 had a suicidal event during IOP (mean time in IOP: 5.4 ± 2.3 weeks), of whom 14 had an actual suicide attempt. Youth with any suicidal event had higher scores than those without an event on the CHRT-SR 14 Total (p =.005), Propensity (p =.008), and Suicidal Thoughts (p =.001) scales at baseline. Youth who made a suicide attempt had significantly higher scores than those without an event for the Total Score, Propensity, and Suicidal Thoughts subscales. CHRT-SR 14 Total Score of 28 had a sensitivity of 85.7% and specificity of 56.5% in predicting suicide attempts. A score of 22 predicted suicidal events, with a sensitivity of 80.8% and specificity of 40.9%. CHRT-SR 7 Total Score of 12 predicted suicide attempts, with a sensitivity of 85.7% and specificity of 53.4%. The CHRT-SR 14 self-report predicts suicide attempts and events with at least 80% sensitivity and acceptable specificity in adolescents at high-risk for suicide. • The CHRT-SR predicts suicide attempts with at least 80% sensitivity and 50% specificity in suicidal adolescents. • Findings are consistent with previous reports that the CHRT-SR predicted suicidal events in adults with Bipolar Disorder. • This is one of the first rating scales to predict future suicide attempts with acceptable sensitivity or specificity. [ABSTRACT FROM AUTHOR]

This poster presents factors related to disorganized attachment style in trauma-affected young children in a therapeutic daycare setting. Continued study of young children who have endured trauma is important to better understand specific risk factors related to their diagnoses, treatment, and prognosis. [Extracted from the article]

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. [ABSTRACT FROM AUTHOR]