The physical activity in cancer survivors (PACES) trial: a factorial randomized trial to optimize intervention for breast cancer survivors.

Multiple intervention strategies have been found effective for increasing physical activity among breast cancer survivors, yet most breast cancer survivors fail to meet physical activity recommendations. Optimization of interventions can facilitate real word implementation to ensure effective and efficient intervention delivery. Using a full-factorial design based on the Multiphase Optimization Strategy, 337 breast cancer survivors were randomized to receive a combination of four intervention components: (1) supervised exercise sessions, (2) facility membership, (3) Active Living Every Day (ALED), and (4) Fitbit. Moderate-to vigorous (MVPA) and light-intensity physical activity (LPA) were measured at baseline, 3 months, and 6 months with a hip-worn Actigraph GT3X+. Normal linear mixed models with separate intercepts for each subject were fit in the SAS 9.4 Mixed procedure. Participants who received supervised exercise sessions engaged in more MVPA, 153.58 min/week vs. 133.0 min/week (F = 3.97, p = 0.048) and LPA, 170.26 min/day versus 160.98 light PA minutes/day (F = 4.67, p = 0.032), compared to participants who did not receive supervised exercise. The effects of the three other intervention components on MVPA were not significant; however, those that received ALED engaged in less LPA (F = 6.6, p = 0.011). Supervised exercise sessions resulted in significant increases in MVPA and LPA in a sample of breast cancer survivors. Of note, these sessions were provided only during the first 6 weeks of the intervention and effects remained significant at 6 months. Results of this trial could inform future implementation efforts to ensure effective and efficient delivery of physical activity programs for breast cancer survivors.

Measurement-Based Care for Depression in Youth: Practical Considerations for Selecting Measures to Assess Depression, Associated Features and Functioning.

Identification and management of major depressive disorder (MDD) in children and adolescents remains a significant area of public health need. The process for identifying depression (e.g. screening) and management (e.g. measurement based care [MBC]) is substantially enhanced by utilization of clinical measures and rating scales. Measures can be self- or caregiver reported or clinician rated. They can aid recognition of at-risk individuals for future assessment and assist in clinical diagnosis and management of depression. In addition to assessing symptoms of depression, rating scales can be used to assess important associated features (e.g. anxiety, trauma) and functional outcomes (e.g. quality of life, performance/productivity). In this manuscript, we discuss practical considerations for clinicians and researchers when selecting rating instruments for assessing depression, associated factors, functioning, and treatment outcomes (i.e. adherence and side effects) as part of MBC in youth and provide a summary of rating scales commonly used in research and clinical settings.

Shifting From Best Practice to Standard Practice: Implementing Measurement-Based Care in Health Systems.

There is a high prevalence of untreated depression in adults and youth observed at the population level in the United States, and many who would benefit from treatment do not receive it. One proposed effort to increase access to care is the use of measurement-based care (MBC; repeated use of symptom measures for screening and treatment guidance) by primary care physicians to treat non-complex cases of depression. MBC has been shown to improve patient outcomes compared to care as usual, but there are barriers that need to be addressed at the health system level for effective implementation to occur. Herein we provide an overview of MBC and detail benefits and barriers of MBC implementation. Relevant considerations and guidance for implementing MBC are presented, and a case example of a health system implementing MBC is included. Though issues of reimbursement, limited human and technological resources, and resistance to systemic change are barriers to implementing MBC, effective strategies exist to overcome these barriers. In addition to helping health systems align with changes to value-based care models, effective implementation of MBC can likely improve patient outcomes and result in net financial benefits.

Integration of Measurement-Based Care for Youth Depression and Suicidality Using VitalSign6.

Depression and suicidality are prevalent in youth and are associated with a range of negative outcomes. The current study aimed to evaluate a measurement-based care (MBC) software (VitalSign6) tool to improve the screening and treatment of depression and suicidality in youth aged 8-17 years within a rural, underserved population. To assess for depression and suicidality, the Patient Health Questionnaire-2 was administered as an initial screen, and the Patient Health Questionnaire-9 Modified for Adolescents (PHQ-9-A) was administered if the initial screen was positive. Data were collected at medical clinics over one year, and descriptive statistics and t-tests or Wilcoxon-Mann-Whitney tests were conducted. A total of 1,984 youth were initially screened (mean age of 13 years; 51.6% female); 24.2% screened positive for depression, and 14.9% endorsed suicidality. Of those who screened positive, the mean PHQ-9-A score was 12.8; 66.9% had PHQ-9-A scores in the moderate to severe range, and 44.2% endorsed suicidality. Almost half of the youth who screened positive for depression had at least one follow-up assessment, and about one quarter achieved remission 4 months after initial screening. Adolescents (12-17 years) had higher PHQ-9-A scores, higher suicidality, and more follow-up assessments than younger youth (8-11 years). Younger youth had higher rates of remission. The widespread use of MBC was feasible in this setting. It is important to utilize MBC to identify and treat youth with depression and suicidality and to do so in younger populations to improve their trajectory over time; VitalSign6 is one tool to help achieve these goals.

Characterizing Measurement-Based Care in the Texas Youth Depression and Suicide Research Network (TX-YDSRN).

Integration of measurement-based care (MBC) into clinical practice has shown promise in improving treatment outcomes for depression. Yet, without a gold standard measure of MBC, assessing fidelity to the MBC model across various clinical settings is difficult. A central goal of the Texas Youth Depression and Suicide Research Network (TX-YDSRN) was to characterize MBC across the state of Texas through the development of a standardized tool to assess the use of MBC strategies when assessing depression, anxiety, side effects, and treatment adherence. A chart review of clinical visits indicated standardized depression measures (71.2%) and anxiety measures (64%) were being utilized across sites. The use of standardized measures to assess medication adherence and side effects was limited to less than six percent for both, with the majority utilizing clinical interviews to assess adherence and side effects; yet medication was changed in nearly half. Rates of utilization of standardized measures for participants with multiple MBC forms were similar to those who only provided one form.

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

BACKGROUND: Depressive symptoms result in considerable burden for breast cancer survivors. Increased physical activity may reduce these burdens but existing evidence from physical activity interventions in equivocal. Furthermore, physical activity intervention strategies may differentially impact depressive symptoms, which should be considered in designing and optimizing behavioral interventions for breast cancer survivors. METHODS: The Physical Activity for Cancer Survivors (PACES) trial enrolled 336 participants breast cancer survivors, who were 3 months to 10 years post-treatment, and insufficiently active (< 150 min of moderate-to-vigorous physical activity per week). Participants were randomly assigned to a combination of 4 intervention strategies in a full-factorial design: 1) supervised exercise sessions, 2) facility access, 3) Active Living Every Day, and 4) Fitbit self-monitoring. Depressive symptoms were assessed at baseline, mid-intervention (3 months), and post-intervention (6 months) using the Quick Inventory for Depressive Symptoms. Change in depressive symptoms were analyzed using a linear mixed-effects model. RESULTS: Results from the linear mixed-effects model indicated that depressive symptoms decreased significantly across the entire study sample over the 6-month intervention (F = 4.09, p = 0.044). A significant ALED x time interaction indicated participants who received the ALED intervention experienced greater reductions in depressive symptoms (F = 5.29, p = 0.022). No other intervention strategy significantly impacted depressive symptoms. CONCLUSIONS: The ALED intervention consists of strategies (i.e., goal setting, social support) that may have a beneficial impact on depressive symptoms above and beyond the effect of increased physical activity. Our findings highlight the need to consider secondary outcomes when designing and optimizing physical activity interventions. TRIAL REGISTRATION: ClinicalTrials.gov NCT03060941. Posted February 23, 2017.

Measurement Choices for Youth Suicidality.

Suicide is among the leading causes of death among individuals ages 10-24, making suicidal thoughts and behaviors (STBs) a serious public health crisis among youth. Suicide risk screening and assessment are vital to addressing this public health crisis. In fact, many youths that screen positive for suicidal ideation do not have known mental health concerns and would have been missed if not asked directly. Medical settings are an optimal setting to detect suicidality early and provide appropriate follow-up monitoring and care as needed. To support effective and efficient screening and assessment of suicidal thoughts and behaviors, providers must choose measures with both strong psychometric properties and clinical utility. While measurement of STBs can vary across health settings, suicide risk screening and assessment typically involves gathering information about current suicidal ideation, suicidal behaviors, and suicidal plans via self-report questionnaires, clinical interviews, and/or computerized adaptive screens. In alignment with measurement-based care efforts, the current manuscript will provide a scoping review of measures of youth suicidal ideation, behavior, plans, and their risk factors. Specifically, the psychometric properties, clinical utility, and other key considerations for screening and assessment of adolescent suicide risk are discussed.

Evidence for machine learning guided early prediction of acute outcomes in the treatment of depressed children and adolescents with antidepressants.

BACKGROUND: The treatment of depression in children and adolescents is a substantial public health challenge. This study examined artificial intelligence tools for the prediction of early outcomes in depressed children and adolescents treated with fluoxetine, duloxetine, or placebo. METHODS: The study samples included training datasets (N = 271) from patients with major depressive disorder (MDD) treated with fluoxetine and testing datasets from patients with MDD treated with duloxetine (N = 255) or placebo (N = 265). Treatment trajectories were generated using probabilistic graphical models (PGMs). Unsupervised machine learning identified specific depressive symptom profiles and related thresholds of improvement during acute treatment. RESULTS: Variation in six depressive symptoms (difficulty having fun, social withdrawal, excessive fatigue, irritability, low self-esteem, and depressed feelings) assessed with the Children's Depression Rating Scale-Revised at 4-6 weeks predicted treatment outcomes with fluoxetine at 10-12 weeks with an average accuracy of 73% in the training dataset. The same six symptoms predicted 10-12 week outcomes at 4-6 weeks in (a) duloxetine testing datasets with an average accuracy of 76% and (b) placebo-treated patients with accuracies of 67%. In placebo-treated patients, the accuracies of predicting response and remission were similar to antidepressants. Accuracies for predicting nonresponse to placebo treatment were significantly lower than antidepressants. CONCLUSIONS: PGMs provided clinically meaningful predictions in samples of depressed children and adolescents treated with fluoxetine or duloxetine. Future work should augment PGMs with biological data for refined predictions to guide the selection of pharmacological and psychotherapeutic treatment in children and adolescents with depression.

Interleukin 17 selectively predicts better outcomes with bupropion-SSRI combination: Novel T cell biomarker for antidepressant medication selection.

BACKGROUND: Interleukin 17 (IL-17) is produced by highly inflammatory Th17 cells and has been implicated in pathophysiology of depression. IL-17 putatively disrupts the blood brain barrier and affects dopamine synthesis whereas dopamine has been shown to decrease Th17 cell-mediated immune response. Nevertheless, whether IL-17 can predict differential treatment outcome with antidepressants modulating dopaminergic transmission is unknown. METHODS: IL-17 and other T cell and non-T cell markers (Th1, Th2 and non-T cell markers) were measured with the Bioplex Pro™ human cytokine 27-plex kit in the Combining Medications to Enhance Depression Outcomes (CO-MED) trial participants who provided baseline plasma and were treated with either bupropion plus escitalopram (bupropion-SSRI), escitalopram plus placebo (SSRI monotherapy), or venlafaxine plus mirtazapine (n=166). Differential changes in symptom severity and side-effects based on levels of IL-17 and other T and non-T cell markers were tested using a treatment-arm-by-biomarker interaction in separate repeated measures mixed model analyses. Subsequent analyses stratified by treatment arm were conducted for those markers with a significant interaction. RESULTS: There was a significant treatment-arm-by-IL-17 interaction for depression severity (p=0.037) but not for side-effects (p=0.28). Higher baseline IL-17 level was associated with greater reduction in depression severity (effect size=0.78, p=0.008) in the bupropion-SSRI but not the other two treatment arms. Other T and non-T cell markers were not associated with differential treatment outcomes. CONCLUSION: Higher baseline levels of IL-17 are selectively associated with greater symptomatic reduction in depressed patients treated with bupropion-SSRI combination.

Evidence-based guidelines for the interpretation of the 9-item Concise Health Risk Tracking - Self-Report (CHRT-SR9) measure of suicidal risk.

BACKGROUND: The 9-item Concise Health Risk Tracking - Self-Report (CHRT-SR9) is a widely used patient-reported outcome measure of suicidal risk. The goal of this article is to provide an evidence-based interpretation of the CHRT-SR9 total score in terms of four clinically actionable categories of suicidal risk (none, mild, moderate, and severe). METHODS: Data from two large programs involving adolescents and adults were combined in this paper. In these studies, the CHRT-SR9 was anchored against an independent measure of suicidal risk, the suicide item (Item #9) in the Patient Health Questionnaire (PHQ-9), with categories 0 (none), 1 (mild), 2 (moderate), and 3 (severe). In the combined data (n = 1945), we calculated the cumulative percentage of data across these four categories and the percentile score of the CHRT-SR9 total score that corresponded to these percentages; from this, we developed ranges of the CHRT-SR9 total score that corresponded to the four categories of Item #9 of PHQ-9. We also calculated similar ranges for two broad subscales of the CHRT-SR9 total score; Propensity and Suicidal Thoughts. To assess the robustness of our findings, we repeated the analysis at another timepoint across studies. RESULTS: Findings indicated that the CHRT-SR9 total score (range: 0-36) can be categorized as none (0-14), mild (15-21), moderate (22-26), and severe (27-36). Similar categories were calculated for the Propensity and Suicidal Thoughts subscales. The findings were the same when repeated at another timepoint. CONCLUSION: This categorization of the CHRT-SR9 total score can place patients into clinically meaningful and actionable categories of suicidal risk.

Treatment of Adolescent Depression: Comparison of Psychiatric and Pediatric Settings at an Academic Medical Center Using the VitalSign6 Application.

Background: Similar outcomes and remission rates have been found for the treatment of depression in adults in primary and psychiatric care settings. However, comparatively little is known about how pediatric depression is managed across different settings. This study aims to address this gap by comparing depression treatment in pediatric and psychiatric settings. We hypothesized that pediatric care settings would be more likely to treat individuals with lower depression severity and would select pharmacotherapy less frequently as a treatment option. Methods: Patients (n = 3498) were screened for depression at a children's hospital from May 2017 to May 2022 as part of the VitalSign6 project, a web-based application for depression management. The two-item patient health questionnaire (PHQ) was used for screening, and the data set contains patient-reported measures and provider-reported diagnoses and treatment selections at each clinic visit. Patients with nine-item PHQ (PHQ-9) scores ≥10 at baseline were included in the analysis to compare diagnosis and treatment recommendations between pediatric and psychiatric settings. Results: Among the 1323 patients who screened positive for depression, those in psychiatric settings had higher PHQ-9 scores (15.9 ± 5.0 vs. 12.1 ± 5.5; p < 0.0001). Patients with PHQ-9 ≥ 10 in psychiatric settings were more likely to be diagnosed with major depressive disorder (60.6% vs. 24.7%, p < 0.0001) and receive pharmacotherapy (54.8% vs. 6.6%) than those in pediatric settings. Pediatric setting patients were more likely to receive nonpharmacological treatment alone (36.3% vs. 4.3%) or an outside referral (27.7% vs. 5.7%). Remission rates did not significantly differ between the two settings. Conclusions: Youth in psychiatric settings are more likely to screen positive for depression and to have greater depression severity than those in pediatric settings. Both settings provide treatment recommendations for moderate-to-severe depression, but treatment types vary substantially. Yet, remission rates remain similar. Further research is needed to understand the nuances of treatment differences and their implications.

Data-driven subgrouping of youths with depression reveals that resilience is associated with higher physical functioning despite high symptom burden in the Texas Youth Depression and Suicide Research Network (TX-YDSRN).

BACKGROUND: The Patient-Reported Outcomes Measurement Information System (PROMIS) measure, which assesses past week status of seven domains (physical function mobility, anxiety, depressive symptoms, fatigue, peer relationships, pain interference, and pain intensity), represents a new paradigm using patient-reported outcomes. We used a data-driven approach with PROMIS to identify subgroups of youths receiving depression treatment. METHODS: Youths (n = 721) enrolled in the Texas Youth Depression and Suicide Research Network who completed the PROMIS were analyzed. Latent class analyses (LCAs) identified subgroups and compared their baseline clinical/sociodemographic features. RESULTS: Compared to population norms, our sample had worse than average physical function, anxiety, depression, fatigue, and pain interference. Using LCA, four subgroups were identified: 1) lower symptom severity and higher physical functioning (14.6 %); 2) higher symptom burden, higher pain interference/intensity, and lower physical functioning (52.7 %); 3) higher symptom burden, higher pain interference/intensity, but with higher physical functioning (9.2 %); and 4) higher symptom burden, but lower physical functioning and pain interference/intensity (23.6 %). Group 3 demonstrated higher resilience than Group 2. In contrast, Group 2 had higher anxiety than Group 4. LIMITATIONS: Individuals may have different symptom profiles due to the observational nature of the study. Replication of these subgroups may be difficult, as future samples may differ in these characteristics. Further work may demonstrate the stability of these groups. CONCLUSIONS: A data-driven analysis identified a small but significant subgroup with high physical functioning despite high symptom burden and pain, and this group reported higher resilience. Resilience-enhancing interventions may help improve functional outcomes in depressed youth.

Active suicidal ideation associated with dysfunction in default mode network using resting-state EEG and functional MRI - Findings from the T-RAD Study.

Suicide in youth and young adults is a serious public health problem. However, the biological mechanisms of suicidal ideation (SI) remain poorly understood. The primary goal of these analyses was to identify the connectome profile of suicidal ideation using resting state electroencephalography (EEG). We evaluated the neurocircuitry of SI in a sample of youths and young adults (aged 10-26 years, n = 111) with current or past diagnoses of either a depressive disorder or bipolar disorder who were enrolled in the Texas Resilience Against Depression Study (T-RAD). Neurocircuitry was analyzed using orthogonalized power envelope connectivity computed from resting state EEG. Suicidal ideation was assessed with the 3-item Suicidal Thoughts factor of the Concise Health Risk Tracking self-report scale. The statistical pipeline involved dimension reduction using principal component analysis, and the association of neuroimaging data with SI using regularized canonical correlation analysis. From the original 111 participants and the correlation matrix of 4950 EEG connectivity pairs in each band (alpha, beta, theta), dimension reduction generated 1305 EEG connectivity pairs in the theta band, 2337 EEG pairs in the alpha band, and 914 EEG connectivity pairs in the beta band. Overall, SI was consistently involved with dysfunction of the default mode network (DMN). This report provides preliminary evidence of DMN dysfunction associated with active suicidal ideation in adolescents. Using EEG using power envelopes to compute connectivity moves us closer to using neurocircuit dysfunction in the clinical setting to identify suicidal ideation.

Sociodemographic and patient reported outcomes by racial and ethnicity status among participants in a randomized controlled trial for methamphetamine use disorder.

Background: There has been a significant increase in methamphetamine use and methamphetamine use disorder (Meth UD) in the United States, with evolving racial and ethnic differences. Objectives: This secondary analysis explored racial and ethnic differences in baseline sociodemographic and clinical characteristics as well as treatment effects on a measure of substance use recovery, depression symptoms, and methamphetamine craving among participants in a pharmacotherapy trial for Meth UD. Methods: The ADAPT-2 trial (ClinicalTrials.gov number, NCT03078075; N=403; 69% male) was a multisite, 12-week randomized, double-blind, trial that employed a two-stage sequential parallel design to evaluate the efficacy of combination naltrexone (NTX) and oral bupropion (BUP) vs. placebo for Meth UD. Treatment effect was calculated as the weighted mean change in outcomes in the NTX-BUP minus placebo group across the two stages of treatment. Results: Of the 403 participants in the ADAPT-2 trial, the majority (65%) reported non-Hispanic White, while 14%, 11% and 10% reported Hispanic, non-Hispanic Black, and non-Hispanic other racial and ethnic categories respectively. At baseline non-Hispanic Black participants reported less severe indicators of methamphetamine use than non-Hispanic White. Treatment effects for recovery, depression symptoms and methamphetamine cravings did not significantly differ by race and ethnicity. Conclusions: Although we found racial and ethnic differences at baseline, our findings did not show racial and ethnic differences in treatment effects of NTX-BUP on recovery, depression symptoms and methamphetamine cravings. However, our findings also highlight the need to expand representation of racial and ethnic minority groups in future trials.

PlanoUp!: A pilot program for the identification and treatment of depression for youth in low-income secondary schools.

Rates of depression in youth are continuing to increase at a steady rate, yet these youth often do not receive mental health services (Bertha & Balázs, 2013; Thomas et al., 2011). Schools are an ideal setting to connect youth to mental health services; however, many barriers exist with respect to schools having adequate resources and access to the appropriate levels of services (Duong et al., 2021; Owens & Peltier, 2002). Schools may collaborate with local community providers with available resources to address these gaps. The current article describes the pilot of a school-based mental health promotion program intended to reduce depression in youth by promoting access to care through referrals to community providers. Data were collected, via self-report measures, every 3 months for 12 months from students from three middle and high schools in North Texas. The students (N = 88) enrolled in this program experienced significant reductions in their depression symptoms at the end of 12 months. This program highlights the importance of school-community partnerships to promote access to care to address mental health concerns. The results from our pilot study demonstrate the feasibility and the potential of school-based programs in improving the mental health of youth in schools through community partnership. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Clinical and sociodemographic features of the Texas resilience against depression (T-RAD) study: Findings from the initial cohort.

OBJECTIVE: The burden of major depressive disorder is compounded by a limited understanding of its risk factors, the limited efficacy of treatments, and the lack of precision approaches to guide treatment selection. The Texas Resilience Against Depression (T-RAD) study was designed to explore the etiology of depression by collecting comprehensive socio-demographic, clinical, behavioral, neurophysiological/neuroimaging, and biological data from depressed individuals (D2K) and youth at risk for depression (RAD). METHODS: This report details the baseline sociodemographic, clinical, and functional features from the initial cohort (D2K N = 1040, RAD N = 365). RESULTS: Of the total T-RAD sample, n = 1078 (76.73 %) attended ≥2 in-person visits, and n = 845 (60.14 %) attended ≥4 in-person visits. Most D2K (84.82 %) had a primary diagnosis of any depressive disorder, with a bipolar disorder diagnosis being prevalent (13.49 %). RAD participants (75.89 %) did not have a psychiatric diagnosis, but other non-depressive diagnoses were present. D2K participants had 9-item Patient Health Questionnaire scores at or near the moderate range (10.58 ± 6.42 > 24 yrs.; 9.73 ± 6.12 10-24 yrs). RAD participants were in the non-depressed range (2.19 ± 2.65). While the age ranges in D2K and RAD differ, the potential to conduct analyses that compare at-risk and depressed youth is a strength of the study. The opportunity to examine the trajectory of depressive symptoms in the D2K cohort over the lifespan is unique. LIMITATIONS: As a longitudinal study, missing data were common. CONCLUSION: T-RAD will allow data to be collected from multiple modalities on a clinically well-characterized sample. These data will drive important discoveries on diagnosis, treatment, and prevention of depression.

Psychometric properties of the GAD-7 and PROMIS-Anxiety-4a among youth with depression and suicidality: Results from the Texas youth depression and suicide research network.

There is a tremendous need for brief, valid, and free assessments of anxiety in child mental healthcare. The goal of this study was to determine the psychometric properties of two such measures, the GAD-7 and PROMIS-Anxiety-4a, in 1000 children, adolescents, and young adults (8-20 years-old) with depression and/or suicidality. The GAD-7, the PROMIS-Anxiety-4a, and other validated assessments of anxiety, physical functioning, and psychiatric diagnoses were completed. Confirmatory factor analyses showed an acceptable fit for a single factor in both measures via all indices but the RMSEA. They demonstrated measurement invariance across pre-adolescents (8-12 years-old) and adolescents and emerging adults (13-20 years-old), though scalar invariance was not observed for the GAD-7. Both measures showed strong convergent validity, GAD-7: r = 0.68; PROMIS-Anxiety-4a: r = 0.75, divergent validity with a measure of physical function, GAD-7: r = -0.24; PROMIS-Anxiety-4a: r = -0.28, good internal consistency, ω = 0.89 for both, and high test-retest reliability, GAD-7: r = 0.69; PROMIS-Anxiety-4a: r = 0.71. Both measures also showed acceptable sensitivity and specificity in detecting the presence of any anxiety disorder, GAD-7 cut-off score of 10: AUC = 0.75; PROMIS-Anxiety-4a cutoff score of 12: AUC = 0.79. The GAD-7 correlated similarly with the Screen for Child Anxiety Related Disorders total score and generalized anxiety subscale, and also showed similar diagnostic sensitivity and specificity when used to detect the presence of any anxiety disorder vs. generalized anxiety disorder specifically. Results suggest that both of these brief, publicly available instruments are valid and reliable assessments of anxiety among youth in treatment for depression and/or suicidality.

Linking trauma to mental health in the statewide Texas Youth Depression and Suicide Research Network (TX-YDSRN).

Rates of youth depression and suicide are rising worldwide and represent public health crises. The present study examined the relationship between trauma history and symptoms of depression, suicidal ideation, and anxiety among suicidal and depressed youth. A diverse group of 1000 8-20-year-olds enrolled in the statewide Texas Youth Depression and Suicide Research Network (TX-YDSRN) reported their trauma history (Traumatic Events Screening Inventory for Children) and symptoms of depression (Patient Health Questionnaire for adolescents; PHQ-A), anxiety (Generalized Anxiety Disorder scale; GAD-7), and suicidality (Concise Health Risk Tracking scale; CHRT-SR). Nearly half of the sample reported exposure to multiple categories of traumatic experiences. Number of trauma exposure categories significantly predicted PHQ-A and GAD-7 scores. Exposure to interpersonal trauma and to sexual trauma were significantly associated with PHQ-A, GAD-7, and CHRT-SR scores. The number of trauma exposure categories was associated with increased levels of anxiety and depression; however, only exposure to interpersonal or sexual trauma was associated with more suicidality. Clinicians should assess trauma exposure in patients seeking psychiatric care, especially for interpersonal and sexual trauma, which may be predictive of increased risk for suicidality in depressed youth. Future work should disentangle the effects of specific trauma types from multiple trauma exposure.

Immune Dysregulation in Treatment-Resistant Depression: Precision Approaches to Treatment Selection and Development of Novel Treatments.

Owing to the link between immune dysfunction and treatment-resistant depression (TRD) and the overwhelming evidence that the immune dysregulation and major depressive disorder (MDD) are associated with each other, using immune profiles to identify the biological distinct subgroup may be the step forward to understanding MDD and TRD. This report aims to briefly review the role of inflammation in the pathophysiology of depression (and TRD in particular), the role of immune dysfunction to guide precision medicine, tools used to understand immune function, and novel statistical techniques.

Accelerated Brain Aging in Adults With Major Depressive Disorder Predicts Poorer Outcome With Sertraline: Findings From the EMBARC Study.

BACKGROUND: Major depressive disorder (MDD) may be associated with accelerated brain aging (higher brain age than chronological age). This report evaluated whether brain age is a clinically useful biomarker by checking its test-retest reliability using magnetic resonance imaging scans acquired 1 week apart and by evaluating the association of accelerated brain aging with symptom severity and antidepressant treatment outcomes. METHODS: Brain age was estimated in participants of the EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study using T1-weighted structural magnetic resonance imaging (MDD n = 290; female n = 192; healthy control participants n = 39; female n = 24). Intraclass correlation coefficient was used for baseline-to-week-1 test-retest reliability. Association of baseline Δ brain age (brain age minus chronological age) with Hamilton Depression Rating Scale-17 and Concise Health Risk Tracking Self-Report domains (impulsivity, suicide propensity [measures: pessimism, helplessness, perceived lack of social support, and despair], and suicidal thoughts) were assessed at baseline (linear regression) and during 8-week-long treatment with either sertraline or placebo (repeated-measures mixed models). RESULTS: Mean ± SD baseline chronological age, brain age, and Δ brain age were 37.1 ± 13.3, 40.6 ± 13.1, and 3.1 ± 6.1 years in MDD and 37.1 ± 14.7, 38.4 ± 12.9, and 0.6 ± 5.5 years in healthy control groups, respectively. Test-retest reliability was high (intraclass correlation coefficient = 0.98-1.00). Higher baseline Δ brain age in the MDD group was associated with higher baseline impulsivity and suicide propensity and predicted smaller baseline-to-week-8 reductions in Hamilton Depression Rating Scale-17, impulsivity, and suicide propensity with sertraline but not with placebo. CONCLUSIONS: Brain age is a reliable and potentially clinically useful biomarker that can prognosticate antidepressant treatment outcomes.