Engaging Black youth in depression and suicide prevention treatment within urban schools: study protocol for a randomized controlled pilot.

BACKGROUND: Depression continues to be an ongoing threat to adolescent well-being with Black adolescents being particularly vulnerable to greater burdens of depression as well as lower mental health service utilization. Black adolescents are likely to have untreated depression due to social network influences, varied perceptions of services and providers, or self-stigma associated with experiencing depressive symptoms. Furthermore, if or when treatment is initiated, low engagement and early termination are common. To address this gap, a trial is being conducted to preliminarily test the effectiveness of an engagement intervention targeting Black adolescents with depression in school mental health services in New York City. METHODS: A total of 60 Black middle and high school adolescents displaying depressive symptoms are equally randomized (based on school site) to the treatment arms. Both trial arms deliver Interpersonal Psychotherapy for Depressed Adolescents (IPT-A), a time-limited, evidence-based treatment for depression. Additionally, one arm pairs IPT-A with a brief, multi-level engagement intervention, the Making Connections Intervention (MCI), involving adolescents, caregivers, and clinicians. Outcomes of interest are group differences in depression and suicide ideation, adolescent and caregiver engagement, and mental health service use. DISCUSSION: This trial will serve as an efficacy assessment of the MCI among a sample of Black adolescent students with depressive symptoms. Clinical and implementation results will be used to inform future research to further test the MCI intervention in a larger sample. TRIAL REGISTRATION: Registered by ClinicalTrials.gov on May 3, 2019, identifier: NCT03940508.

Adolescent, parent, and provider attitudes toward a machine learning based clinical decision support system for selecting treatment for youth depression.

BACKGROUND: Machine learning based clinical decision support systems (CDSSs) have been proposed as a means of advancing personalized treatment planning for disorders, such as depression, that have a multifaceted etiology, course, and symptom profile. However, machine learning based models for treatment selection are rare in the field of psychiatry. They have also not yet been translated for use in clinical practice. Understanding key stakeholder attitudes toward machine learning based CDSSs is critical for developing plans for their implementation that promote uptake by both providers and families. METHODS: In Study 1, a prototype machine learning based Clinical Decision Support System for Youth Depression (CDSS-YD) was demonstrated to focus groups of adolescents with a diagnosis of depression (n = 9), parents (n = 11), and behavioral health providers (n = 8). Qualitative analysis was used to assess their attitudes towards the CDSS-YD. In Study 2, behavioral health providers were trained in the use of the CDSS-YD and they utilized the CDSS-YD in a clinical encounter with 6 adolescents and their parents as part of their treatment planning discussion. Following the appointment, providers, parents, and adolescents completed a survey about their attitudes regarding the use of the CDSS-YD. RESULTS: All stakeholder groups viewed the CDSS-YD as an easy to understand and useful tool for making personalized treatment decisions, and families and providers were able to successfully use the CDSS-YD in clinical encounters. Parents and adolescents viewed their providers as having a critical role in the use the CDSS-YD, and this had implications for the perceived trustworthiness of the CDSS-YD. Providers reported that clinic productivity metrics would be the primary barrier to CDSS-YD implementation, with the creation of protected time for training, preparation, and use as a key facilitator. CONCLUSIONS: Machine learning based CDSSs, if proven effective, have the potential to be widely accepted tools for personalized treatment planning. Successful implementation will require addressing the system-level barrier of having sufficient time and energy to integrate it into practice.

Adolescent, parent, and provider attitudes toward a machine-learning based clinical decision support system for selecting treatment for youth depression.

Background: Machine-learning based clinical decision support systems (CDSSs) have been proposed as a means of advancing personalized treatment planning for disorders, such as depression, that have a multifaceted etiology, course, and symptom profile. However, machine-learning based models for treatment selection are rare in the field of psychiatry. They have also not yet been translated for use in clinical practice. Understanding key stakeholder attitudes toward machine learning-based CDSSs is critical for developing plans for their implementation that promote uptake by both providers and families. Methods: In Study 1, a machine-learning based Clinical Decision Support System for Youth Depression (CDSS-YD) was demonstrated to focus groups of adolescents with a diagnosis of depression (n = 9), parents (n = 11), and behavioral health providers (n = 8). Qualitative analysis was used to assess their attitudes towards the CDSS-YD. In Study 2, behavioral health providers were trained in the use of the CDSS-YD and they utilized the CDSS-YD in a clinical encounter with 6 adolescents and their parents as part of their treatment planning discussion. Following the appointment, providers, parents, and adolescents completed a survey about their attitudes regarding the use of the CDSS-YD. Results: All stakeholder groups viewed the CDSS-YD as an easy to understand and useful tool for making personalized treatment decisions, and families and providers were able to successfully use the CDSS-YD in clinical encounters. Parents and adolescents viewed their providers as having a critical role in the use the CDSS-YD, and this had implications for the perceived trustworthiness of the CDSS-YD. Providers reported that clinic productivity metrics would be the primary barrier to CDSS-YD implementation, with the creation of protected time for training, preparation, and use as a key facilitator. Conclusions: The CDSS-YD has the potential to be a widely accepted and useful tool for personalized treatment planning. Successful implementation will require addressing the system-level barrier of having sufficient time and energy to integrate it into practice.

An example of implementing a safety protocol in remote intervention and survey research with college students.

INTRODUCTION: This article draws attention to the need for open evaluation and reporting on safety protocols in survey and intervention research. We describe a protocol for responding to those who indicate increased risk of self-harm (i.e. suicidality or potentially lethal alcohol use) as an example and report on the outcome of our procedures. METHODS: Participants were first-year college students (n = 891) participating in an intervention trial for binge drinking. We describe the protocol, provide descriptive outcomes, and examine whether participant sex, attrition, or study intervention condition were related to endorsing items that indicated risk for suicidality or potentially lethal alcohol use. RESULTS: Of the 891 participants, 167 (18.7%) were identified as being at risk in one or more study wave. Of those, we were able to successfully contact 100 (59.9%), 76 (45.5%) by phone, and 24 (14.4%) by email. Of those 100, 78 accepted mental health resources as a result of outreach. Participant sex, attrition, and intervention condition were not related to risk. DISCUSSION: This article may aid other research teams in developing similar protocols. Strategies to reach an even greater proportion of high-risk participants are needed. A body of literature documenting published safety protocols in research and the associated outcomes would help to identify opportunities for improvement.

Effect of Problem Area on Outcomes Among Adolescents Treated With Interpersonal Psychotherapy for Depression.

OBJECTIVE: Interpersonal psychotherapy for adolescents (IPT-A) aims to treat depression by addressing one of four problem areas: grief, role disputes, role transitions, or interpersonal deficits. This study compared the characteristics of adolescents by problem area and evaluated the impact of problem area on outcomes. METHODS: Forty adolescents (ages 12-17) participated in a randomized trial of adaptive treatment strategies that included IPT-A. RESULTS: Adolescents with role disputes were younger than adolescents with interpersonal deficits or role transitions and had worse expectations for therapeutic alliance than those in the transitions group. Adolescents with interpersonal deficits had higher attachment avoidance than those in the transitions group. Posttreatment, adolescents in the transitions group had more severe depression and social adjustment problems than those in the deficits group and more social adjustment problems than those in the disputes group. CONCLUSIONS: This preliminary study's findings suggest that differing IPT-A problem areas may affect prognosis.

Association between COVID-19-related loneliness or worry and symptoms of anxiety and depression among first-year college students.

OBJECTIVE: To examine the relationship between COVID-19-related distress and mental health among first-year college students. PARTICIPANTS: Data for this longitudinal study (n = 727) were collected before the school year (August 2019), end of fall semester (December 2019), and soon after the university suspended in-person instruction (April 2020). METHODS: We used multivariable log-linear and logistic regressions to examine continuous and dichotomous outcomes on the 9-item Patient Health Questionnaire and the 7-item Generalized Anxiety Disorder scale. RESULTS: The most consistent predictor of during-pandemic mental health was feeling extremely isolated (versus not at all), which was associated with increased symptom severity of depression (proportional change[95% CI] = 2.43[1.87, 3.15]) and anxiety (2.02[1.50, 2.73]) and greater odds of new moderate depression (OR[95% CI] = 14.83[3.00, 73.41]) and anxiety (24.74[2.91, 210.00]). Greater COVID-19-related concern was also related to increased mental health symptoms. CONCLUSIONS: Results highlight the need for mental health services during crises that lead to social isolation.

Structural and Functional Neural Correlates of Treatment Response for Interpersonal Psychotherapy for Depressed Adolescents.

Precision medicine approaches hold tremendous promise to advance current clinical practice by providing information about which individuals will benefit from which treatments. This pilot study evaluated if baseline structure and function of the salience and emotion brain regions implicated in adolescent depression, specifically the amygdala and anterior cingulate cortex (ACC), predict response to Interpersonal Psychotherapy for Depressed Adolescents (IPT-A). Adolescents (n = 15; mean age = 14.5 (1.6); 80.0% female) diagnosed with a depressive disorder completed brain scans before the start of a 16 week trial of IPT-A. Clinical measures assessing depressive symptoms were completed before, during, and after a trial of therapy. Results show that at baseline, greater ACC activation in the context of an emotion-matching task and greater amygdala-ACC resting-state functional connectivity was related to greater improvement in depression symptoms. There was minimal evidence that brain structure predicted changes in depressive symptoms. The present study is the first to evaluate neural predictors of IPT-A response. While the results are preliminary, these findings suggest some avenues for future research to pursue in the hopes that more will benefit from treatment.

Healthy emotions and relationships with teens-a guide for parents: An intervention development study of a parent-based intervention for adolescents with depression.

Problems in parent-adolescent relationships are a significant risk factor for the development of depression in adolescents. This paper describes the development of a novel and innovative intervention for parents of depressed adolescents that targets attachment-related parenting behaviors, including parent responses to adolescents' emotions (Healthy Emotions and Relationships with Teens-A Guide for Parents [HEART-P]; Reigstad, 2017) and provides results of an open pilot study that was conducted to assess the feasibility and acceptability of the intervention. 15 parents/parent dyads of adolescents (age 12-18) with a depression diagnosis (14 mothers, and one father) participated in a 10-week open trial of HEART-P. Data regarding acceptability and feasibility were collected. Self-report measures of parenting, stress, family relationships, and adolescent depression were also completed by parents at baseline, week 10, and 2 months post-intervention. Parents completed the intervention with 100% adherence to the protocol and expressed high levels of satisfaction. Parents reported reductions in parenting stress, improvement in the quality of their relationship with their adolescent, and improvement in the perception of their parenting skills, with effect sizes in the medium to large range. Adolescents reported reductions in depression, with effect sizes in the small to medium range. Outcomes appear positive and promising, and the intervention was feasible to implement and acceptable to families. Conducting a full-scale randomized control trial to evaluate the efficacy of this newly developed intervention is warranted and timely given the public health need for improved depression treatment outcomes.

Predictors, Moderators, and Mediators Associated With Treatment Outcome in Randomized Clinical Trials Among Adolescents With Depression: A Scoping Review.

Importance: The application of precision medicine principles for the treatment of depressive disorders in adolescents requires an examination of the variables associated with depression outcomes in randomized clinical trials (RCTs). Objective: To describe predictors, moderators, and mediators associated with outcomes in RCTs for the treatment of depressive disorders in adolescents. Evidence Review: A scoping review of RCTs for the treatment of depression in adolescents was conducted. Databases searched included MEDLINE, Embase, APA PsycInfo, and CINAHL. Included publications tested predictors, moderators, and/or mediators associated with depression symptom outcomes (eg, symptom reduction, response, remission) in RCTs pertaining to the treatment of adolescents, ages 13 to 17 years. Predictors were defined as variables that were associated with depression outcomes, independent of treatment group. Moderators were defined as baseline variables that were associated with differential outcomes between treatment groups. Mediators were defined by a formal mediation analysis. In duplicate, variables were extracted and coded with respect to analysis type (univariable or multivariable), statistical significance, direction of effect size, reporting of a priori hypotheses, and adjustment for multiple comparisons. Aggregated results were summarized by variable domain and RCT sample. Findings: Eighty-one articles reporting on variables associated with outcomes across 33 RCTs were identified, including studies of biological (10 RCTs), psychosocial (18 RCTs), and combined (4 RCTs) treatments as well as a service delivery model (1 RCT). Fifty-three variable domains were tested as baseline predictors of depression outcome, 41 as moderators, 19 as postbaseline predictors, and 5 as mediators. Variable domains that were reported as significant in at least 3 RCTs included age, sex/gender, baseline depression severity, early response to treatment, sleep changes, parent-child conflict, overall psychopathology, suicidal ideation, hopelessness, functional impairment, attendance at therapy sessions, and history of trauma. Two publications reported a priori hypotheses and adjustment for multiple comparisons, both finding that baseline depression severity and family conflict were associated with poorer outcomes. Conclusions and Relevance: This review identified commonly researched variables requiring more scrutiny as well as underresearched variables to inform future study designs. Further efforts to discover predictors, moderators, and mediators associated with treatment response have great potential to optimize care for adolescents with depression.

Parent-adolescent emotion-related behavior during conflict in a clinical sample.

INTRODUCTION: Parents and adolescents often have conflict. Previous research has been inconsistent regarding the association between some parent behaviors during this conflict and adolescent symptoms. This study examines parents' behaviors during a conflict resolution discussion in a clinical sample, and the relationship between parents' behaviors and adolescents' depression and anxiety symptoms. METHODS: Depression and anxiety symptoms were self-reported by 22 adolescents of ages 13-17 who were diagnosed with depression. They also participated in an observed conflict resolution task with one parent. Using observationally coded data, we utilized two linear multiple regressions to assess how parent and adolescent emotion-related behaviors related to adolescents' depression and anxiety symptoms. RESULTS: Adolescents' conflict behaviors were not associated with their psychopathology symptoms. Parent conflict behaviors of support and withdrawal were both negatively associated with adolescent depression and anxiety, with parent contempt marginally associated with adolescent depression. CONCLUSIONS: In this clinical sample, parents of adolescents with low mood or anxiety demonstrated some reduced negative parenting behaviors (i.e., contempt and withdrawal), but also reduced positive parenting behavior (i.e., support). The results suggest that when some negative parenting behaviors are reduced, this may inadvertently reinforce depressive behaviors. The results also indicate the importance of increasing supportive parent behaviors.

Main outcomes of M-bridge: A sequential multiple assignment randomized trial (SMART) for developing an adaptive preventive intervention for college drinking.

Objective: The goal was to develop a universal and resource-efficient adaptive preventive intervention (API) for incoming first-year students as a bridge to indicated interventions to address alcohol-related risks. The aims were to examine: (a) API versus assessment-only control, (b) the different APIs (i.e., 4 intervention sequences) embedded in the study design, and (c) moderators of intervention effects on binge drinking. Method: A sequential multiple assignment randomized trial (SMART) included two randomizations: timing (summer before vs. first semester) of universal personalized normative feedback and biweekly self-monitoring and, for heavy drinkers, bridging strategy (resource email vs. health coaching invitation). Participants (N = 891, 62.4% female, 76.8% White) were surveyed at the end of first and second semesters. The primary outcome was binge drinking frequency (4+/5+ drinks for females/males); secondary outcomes were alcohol consequences and health services utilization. Results: API (vs. control) was not significantly associated with outcomes. There were no differences between embedded APIs. Among heavy drinkers, the resource email (vs. health coach invitation) led to greater health services utilization. Moderator analyses suggested students intending to pledge into Greek life benefited more from any API (vs. control; 42% smaller increase from precollege in binge drinking frequency). Conclusions: Although overall effects were not significant, students at high risk (i.e., entering fraternities/sororities) did benefit more from the intervention. Furthermore, the resource email was effective for heavier drinkers. A technology-based strategy to deliver targeted resource-light interventions for heavy drinkers may be effective for reducing binge drinking during the transition to college. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Binge drinking before and after a COVID-19 campus closure among first-year college students.

PURPOSE: The COVID-19 pandemic is associated with reports of increased substance use. College students are a population of concern for high risk binge drinking and their behavior may be particularly impacted by COVID-19 campus closures. Therefore, we examine first-year college students' binge drinking soon after their university's pandemic-related suspension of in-person operations. METHODS: Students from a single campus (N = 741; age: M = 18.05, SD = 0.22) completed one assessment in April-May 2020 post-campus closure (March 2020) including theoretically-informed measures (e.g., drinking motives, norms) and two items of self-reported pre- and post-closure binge drinking frequency, the focus of these analyses. RESULTS: About half of students consistently reported not binge drinking pre- and post-closure; 6.75% reported a consistent frequency of binge drinking pre- and post-closure. Many (39.41%) reported lower 30-day binge drinking post-campus closure compared to their pre-closure reports; few (4.18%) reported higher 30-day binge drinking frequency post-campus closure. Students reporting lower binge drinking post-closure showed differences in coping, social, and enhancement drinking motives and isolation. Students reporting greater post-closure binge drinking reported higher perceived drinking norms and were more likely to be in Greek life. CONCLUSION: This study demonstrates self-reported patterns in binge drinking among first-year college students at the point of COVID-19 campus closures. Pandemic-related college closures may have been a temporary environmental intervention on this high-risk behavior for some students. Although many students were not binge drinking, some continued binge drinking after closure and may benefit from preventive interventions.

Change in dysfunctional attitudes and attachment in interpersonal psychotherapy for depressed adolescents.

ABSTRACT This study examined changes in depressed adolescents' reports of dysfunctional attitudes while receiving interpersonal psychotherapy (IPT-A) and the relationship between the change in dysfunctional attitudes and change in attachment anxiety and avoidance with IPT-A. Forty adolescents (age 12-17) participated in a 16-week randomized clinical trial of 4 adaptive treatment strategies that began with IPT-A and augmented treatment for insufficient responders by adding additional IPT-A sessions or the antidepressant medication, fluoxetine. Measures of attachment anxiety and avoidance (Experience in Close Relationships Scale-Revised [ECR-R]), dysfunctional attitudes (Dysfunctional Attitudes Scale [DAS]), and depression (Children's Depression Rating Scale-Revised [CDRS-R]) were administered at baseline and weeks 4, 8, 12, and 16. Adolescents demonstrated a significant decrease in dysfunctional attitudes (DAS) over the course of treatment. Reductions in dysfunctional attitudes (DAS) were also significantly associated with reductions in attachment anxiety and avoidance (ECR-R), controlling for depression (CDRS-R). Our results suggest that change in adolescents' attachment anxiety and avoidance may be an important mechanism of change in adolescents' dysfunctional thinking patterns.

Developing a data-driven algorithm for guiding selection between cognitive behavioral therapy, fluoxetine, and combination treatment for adolescent depression.

Treating adolescent depression effectively requires providing interventions that are optimally suited to patients' individual characteristics and needs. Therefore, we aim to develop an algorithm that matches patients with optimal treatment among cognitive-behavioral therapy (CBT), fluoxetine (FLX), and combination treatment (COMB). We leveraged data from a completed clinical trial, the Treatment for adolescents with depression study, where a wide range of demographic, clinical, and psychosocial measures were collected from adolescents diagnosed with major depressive disorder prior to treatment. Machine-learning techniques were employed to derive a model that predicts treatment response (week 12 children's depression rating scale-revised [CDRS-R]) to CBT, FLX, and COMB. The resulting model successfully identified subgroups of patients that respond preferentially to specific types of treatment. Specifically, our model identified a subgroup of patients (25%) that achieved on average a 16.9 point benefit on the CDRS-R from FLX compared to CBT. The model also identified a subgroup of patients (50%) that achieved an average benefit up to 19.0 points from COMB compared to CBT. Physical illness and disability were identified as overall predictors of response to treatment, regardless of treatment type, whereas baseline CDRS-R, psychosomatic symptoms, school missed, view of self, treatment expectations, and attention problems determined the patients' response to specific treatments. The model developed in this study provides a critical starting point for personalized treatment planning for adolescent depression.

Maltreatment timing, HPA axis functioning, multigenic risk, and depressive symptoms in African American youth: Differential associations without moderated mediation.

Utilizing a large (N = 739), ancestrally homogenous sample, the current study aimed to better understand biological risk processes involved in the development of depressive symptoms in maltreated, African American children age 8-12 years. Maltreatment was independently coded from Child Protective Services records and maternal report. Self-reported depressive symptoms were attained in the context of a week-long, summer research camp. DNA was acquired from buccal cell or saliva samples and genotyped for nine polymorphisms in four hypothalamic-pituitary-adrenal (HPA)-axis-related genes: FKBP5, NR3C1, NR3C2, and CRHR1. Salivary cortisol samples were collected each morning (9 a.m.) and late afternoon (4 p.m.) throughout the week to assess HPA functioning. Results revealed that experiences of maltreatment beginning prior to age 5 were most predictive of depressive symptoms, whereas maltreatment onset after age 5 was most predictive of HPA axis dysregulation (blunted daytime cortisol patterns). Multigenic risk did not relate to HPA functioning, nor did it moderate the relationship between maltreatment and HPA activity. There was no mediation of the relationship between maltreatment and depressive symptoms by HPA dysfunction. Results are interpreted through a developmental psychopathology lens, emphasizing the principle of equifinality while carefully appraising racial differences. Implications for future research, particularly the need for longitudinal studies, and important methodological considerations are discussed.

Latent Profiles of Cognitive and Interpersonal Risk Factors for Adolescent Depression and Implications for Personalized Treatment.

A personalized approach to treatment with patients being matched to the best-fit treatment has been proposed as one possible solution to the currently modest treatment response rates for adolescent depression. Personalized treatment involves identifying and characterizing subgroups likely to respond differently to different treatments. We investigated the feasibility of this approach, by focusing on two key risk factors that are the purported treatment targets of cognitive behavioral therapy (CBT) and interpersonal psychotherapy for depressed adolescents (IPT-A): negative unrealistic cognitions and interpersonal relationship difficulties, respectively. We sought to learn whether subgroups high and low on the two risk factors, respectively, might be identified in a large sample of depressed, treatment-seeking adolescents. Latent class analysis (LCA) was conducted on measures of the two risk factors among 431 adolescents (age 12-17) in the Treatment for Adolescents with Depression Study. LCA identified three classes: (1) adolescents with high levels of problems in both family relationships and cognitions (21.6% of sample), (2) adolescents with moderate levels of problems in both domains (52.4%), and (3) adolescents with low levels of problems in both domains (26.0%). These subgroups did not predict treatment outcome with CBT or CBT + fluoxetine (COMB). The results challenge a current assumption about how treatments could be personalized, and they support a multi-causal model of depression rather than a risk-factor-specific model. Strategies other than risk factor-based personalizing for case assignment to CBT vs. IPT-A are discussed.

Critical Decision Points for Augmenting Interpersonal Psychotherapy for Depressed Adolescents: A Pilot Sequential Multiple Assignment Randomized Trial.

OBJECTIVE: Practice parameters recommend systematic assessment of depression symptoms over the course of treatment to inform treatment planning; however, there are currently no guidelines regarding how to use symptom monitoring to guide treatment decisions for psychotherapy. The current study compared two time points (week 4 and week 8) for assessing symptoms during interpersonal psychotherapy for depressed adolescents (IPT-A) and explored four algorithms that use the symptom assessments to select the subsequent treatment. METHOD: Forty adolescents (aged 12-17 years) with a depression diagnosis began IPT-A with an initial treatment plan of 12 sessions delivered over 16 weeks. Adolescents were randomized to a week 4 or week 8 decision point for considering a change in treatment. Insufficient responders at either time point were randomized a second time to increased frequency of IPT-A (twice per week) or addition of fluoxetine. Measures were administered at baseline and weeks 4, 8, 12, and 16. RESULTS: The week 4 decision point for assessing response and implementing treatment augmentation for insufficient responders was more efficacious for reducing depression symptoms than the week 8 decision point. There were significant differences between algorithms in depression and psychosocial functioning outcomes. CONCLUSION: Therapists implementing IPT-A should routinely monitor depression symptoms and consider augmenting treatment for insufficient responders as early as week 4 of treatment. CLINICAL TRIAL REGISTRATION INFORMATION: An Adaptive Treatment Strategy for Adolescent Depression. https://clinicaltrials.gov; NCT02017535.

The role of attachment style in interpersonal psychotherapy for depressed adolescents.

OBJECTIVE(S): This study examined changes in depressed adolescents' reports of attachment anxiety and avoidance with interpersonal psychotherapy (IPT-A), and the relationship between attachment style and change in depression with IPT-A. METHOD: Forty adolescents (aged 12-17) participated in a 16-week randomized clinical trial of 4 adaptive treatment strategies for adolescent depression that began with IPT-A and augmented treatment for insufficient responders (n = 22) by adding additional IPT-A sessions (n = 11) or the antidepressant medication, fluoxetine (n = 11). Adolescents were 77.5% female and 22.5% male (mean age = 14.8, SD = 1.8). Ten percent of adolescents were Latino. Racial composition was 7.5% Asian, 7.5% American Indian/Alaska Native, 80.0% white, and 5.0% biracial. Measures of attachment style (Experience in Close Relationships Scale-Revised [ECR-R]) and depression (Children's Depression Rating Scale-Revised [CDRS-R]) were administered at baseline and Weeks 8 and 16. RESULTS: Attachment Anxiety and Avoidance (ECR-R) decreased significantly from baseline to Week 16. Baseline Avoidance positively predicted greater reductions in depression (CDRS-R), controlling for fluoxetine. Reductions in Anxiety and Avoidance were also significantly associated with reductions in CDRS-R, controlling for fluoxetine. CONCLUSIONS: Adolescents' reports of attachment anxiety and avoidance are amenable to intervention with IPT-A. IPT-A may be particularly beneficial for adolescents who report a high level of avoidant attachment. Clinical or methodological significance of this article Our findings suggest that attachment anxiety and avoidance are constructs that are amenable to intervention during adolescence, and therefore viable targets of treatment. IPT-A was found to be an effective intervention for addressing problems in attachment style, and decreases in attachment anxiety and avoidance were associated with reductions in depression. This provides support for selecting IPT-A as a treatment option for adolescents who are depressed and describe difficulty with attachment security. IPT-A appears to be particularly effective for adolescents with an avoidant attachment style, who experience discomfort with and have a tendency to avoid intimacy.

Intravenous Ketamine for Adolescents with Treatment-Resistant Depression: An Open-Label Study.

BACKGROUND: Novel interventions for treatment-resistant depression (TRD) in adolescents are urgently needed. Ketamine has been studied in adults with TRD, but little information is available for adolescents. This study investigated efficacy and tolerability of intravenous ketamine in adolescents with TRD, and explored clinical response predictors. METHODS: Adolescents, 12-18 years of age, with TRD (failure to respond to two previous antidepressant trials) were administered six ketamine (0.5 mg/kg) infusions over 2 weeks. Clinical response was defined as a 50% decrease in Children's Depression Rating Scale-Revised (CDRS-R); remission was CDRS-R score ≤28. Tolerability assessment included monitoring vital signs and dissociative symptoms using the Clinician-Administered Dissociative States Scale (CADSS). RESULTS: Thirteen participants (mean age 16.9 years, range 14.5-18.8 years, eight biologically male) completed the protocol. Average decrease in CDRS-R was 42.5% (p = 0.0004). Five (38%) adolescents met criteria for clinical response. Three responders showed sustained remission at 6-week follow-up; relapse occurred within 2 weeks for the other two responders. Ketamine infusions were generally well tolerated; dissociative symptoms and hemodynamic symptoms were transient. Higher dose was a significant predictor of treatment response. CONCLUSIONS: These results demonstrate the potential role for ketamine in treating adolescents with TRD. Limitations include the open-label design and small sample; future research addressing these issues are needed to confirm these results. Additionally, evidence suggested a dose-response relationship; future studies are needed to optimize dose. Finally, questions remain regarding the long-term safety of ketamine as a depression treatment; more information is needed before broader clinical use.