Efficacy and acceptability of cognitive-behavioral therapy and serotonin reuptake inhibitors for pediatric obsessive-compulsive disorder: a network meta-analysis.

BACKGROUND: Cognitive-behavioral therapy (CBT) and serotonin reuptake inhibitors (SRIs) are recommended treatments for pediatric obsessive-compulsive disorder (OCD), but their relative efficacy and acceptability have not been comprehensively examined. Further, it remains unclear whether the efficacy of in-person CBT is conserved when delivered in other formats, such as over telephone/webcam or as Internet-delivered CBT (ICBT). METHODS: PubMed, PsycINFO, trial registries, and previous systematic reviews were searched for randomized controlled trials (RCTs) comparing CBT (in-person, webcam/telephone-delivered, or ICBT) or SRIs with control conditions or each other. Network meta-analyses were conducted to examine efficacy (post-treatment Children's Yale-Brown Obsessive Compulsive Scale) and acceptability (treatment discontinuation). Confidence in effect estimates was evaluated with CINeMA (Confidence in Network Meta-Analysis). RESULTS: Thirty eligible RCTs and 35 contrasts comprising 2,057 youth with OCD were identified. In-person CBT was significantly more efficacious than ICBT, waitlist, relaxation training, and pill placebo (MD range: 3.95-11.10; CINeMA estimate of confidence: moderate) but did not differ significantly from CBT delivered via webcam/telephone (MD: 0.85 [-2.51, 4.21]; moderate), SRIs (MD: 3.07 [-0.07, 6.20]; low), or the combination of in-person CBT and SRIs (MD: -1.20 [-5.29, 2.91]; low). SRIs were significantly more efficacious than pill placebo (MD: 4.59 [2.70, 6.48]; low) and waitlist (MD: 8.03 [4.24, 11.82]; moderate). No significant differences for acceptability emerged, but confidence in estimates was low. CONCLUSIONS: In-person CBT and SRIs produce clear benefits compared to waitlist and pill placebo and should be integral parts of the clinical management of pediatric OCD, with in-person CBT overall having a stronger evidence base. The combination of in-person CBT and SRIs may be most efficacious, but few studies hinder firm conclusions. The efficacy of CBT appears conserved when delivered via webcam/telephone, while more trials evaluating ICBT are needed.

Long-term trajectories of ambulatory impairment in multiple sclerosis.

BACKGROUND: Ambulatory impairment is a common and complex manifestation of multiple sclerosis (MS), and longitudinal patterns are not well understood. OBJECTIVE: To characterize longitudinal walking speed trajectories in a general MS patient population and in those with early disease (⩽ 5 years from onset), identify subgroups with similar patterns, and examine associations with individual attributes. METHODS: Using a retrospective cohort study design, latent class growth analysis was applied to longitudinal timed 25-foot walk (T25-FW) data from 7683 MS patients, to determine T25-FW trajectories. Associations were evaluated between trajectory assignment and individual attributes. Analyses were repeated for 2591 patients with early disease. RESULTS: In the general patient population, six trajectories were discerned, ranging from very minimal to very high impairment at baseline, with variability in impairment accrual. The clusters with moderate to very high walking impairment were associated with being female, older and Black American, longer symptom duration, progressive course, and depressive symptoms. In the early disease subset, eight trajectories were discerned that included two subgroups that rapidly accrued impairment. CONCLUSION: We identified novel subgroups of MS patients will distinct long-term T25-FW trajectories. These results underscore that socially disadvantaged and economically marginalized MS patients are the most vulnerable for severe ambulatory impairment.

Latent class analysis of emotions experienced during compulsive hair-pulling episodes.

BACKGROUND AND OBJECTIVES: Reasons for compulsive hair pulling are heterogeneous and not fully understood. Given that many people who experience compulsive hair pulling do not respond to treatment, identifying subgroups can inform potential mechanisms and treatment design. METHODS: We sought to identify empirical subgroups among participants in an online treatment program for trichotillomania (N = 1728). A latent class analysis was used to identify patterns of emotions associated with compulsive hair-pulling episodes. RESULTS: Six classes of participants were found which reflected three predominant themes. One theme reflected expected patterns, where emotional changes were seen following pulling. Two other themes were more surprising, where one reflected high overall emotional activation that did not show consistent change in response to pulling, and another showed low emotional activation overall. These results suggest that there are multiple types of hair-pulling and a sizeable group of people may benefit from treatment adjustments. LIMITATIONS: Participants did not receive semi-structured diagnostic assessment. A majority of participants were Caucasian, and future research would benefit from increased participant diversity. Emotions associated with compulsive hair-pulling were measured across an entire treatment program, but the relationship between specific intervention components and change in specific emotions was not systematically collected. CONCLUSIONS: While previous research has addressed overall phenomenology and comorbidity, the present study is the first to identify empirical subgroups of people who experience compulsive hair-pulling at the level of individual pulling episodes. Identified participant classes had distinguishing features that can aid in personalizing treatment to individual symptom presentations.

Posttraumatic stress disorder in diverse populations: Testing for assessment bias in a nationally representative sample.

OBJECTIVE: A growing body of research has emerged to characterize differences in posttraumatic stress disorder (PTSD) symptom presentations in individuals from diverse racial and ethnic groups. However, less research has examined if these observed differences can be attributed to bias within PTSD assessments. Knowledge about potential bias in PTSD assessment is essential for interpreting group differences. If PTSD assessments do not perform similarly across diverse demographic groups, then observed differences may be artificial products of inaccurate measurement, new assessments could be required for individuals from different demographic groups, and we would be unable to accurately detect PTSD treatment effects in patients from diverse groups. METHOD: We evaluated PTSD assessment bias through tests of measurement invariance for the semistructured, clinician-administered AUDADIS-5 diagnostic assessment of participants in the National Epidemiologic Survey on Alcohol and Related Conditions-III. Participants included those who reported having experienced at least one potentially traumatic event in their lifetime (N = 23,936). Measurement invariance was assessed for participants who identified from several demographic groups (Asian, Native Hawaiian, or Pacific Islander; Hispanic; American Indian/Alaskan Native; and Black) compared to participants who identified as White (non-Hispanic). RESULTS: Overall, PTSD assessment was largely invariant across groups, while small amounts of measurement invariance were detected that can inform future research and clinical adaptations. CONCLUSIONS: This work validates prior research that relies on a common conceptualization of PTSD, and it provides several paths for future improvement in research and clinical practice. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Defining brain-based OCD patient profiles using task-based fMRI and unsupervised machine learning.

While much research has highlighted phenotypic heterogeneity in obsessive compulsive disorder (OCD), less work has focused on heterogeneity in neural activity. Conventional neuroimaging approaches rely on group averages that assume homogenous patient populations. If subgroups are present, these approaches can increase variability and can lead to discrepancies in the literature. They can also obscure differences between various subgroups. To address this issue, we used unsupervised machine learning to identify subgroup clusters of patients with OCD who were assessed by task-based fMRI. We predominantly focused on activation of cognitive control and performance monitoring neurocircuits, including three large-scale brain networks that have been implicated in OCD (the frontoparietal network, cingulo-opercular network, and default mode network). Participants were patients with OCD (n = 128) that included both adults (ages 24-45) and adolescents (ages 12-17), as well as unaffected controls (n = 64). Neural assessments included tests of cognitive interference and error processing. We found three patient clusters, reflecting a "normative" cluster that shared a brain activation pattern with unaffected controls (65.9% of clinical participants), as well as an "interference hyperactivity" cluster (15.2% of clinical participants) and an "error hyperactivity" cluster (18.9% of clinical participants). We also related these clusters to demographic and clinical correlates. After post-hoc correction for false discovery rates, the interference hyperactivity cluster showed significantly longer reaction times than the other patient clusters, but no other between-cluster differences in covariates were detected. These findings increase precision in patient characterization, reframe prior neurobehavioral research in OCD, and provide a starting point for neuroimaging-guided treatment selection.

Urge intolerance predicts tic severity and impairment among adults with Tourette syndrome and chronic tic disorders.

Background: Individuals with Tourette Syndrome and Persistent Tic Disorders (collectively TS) often experience premonitory urges-aversive physical sensations that precede tics and are temporarily relieved by tic expression. The relationship between tics and premonitory urges plays a key role in the neurobehavioral treatment model of TS, which underlies first-line treatments such as the Comprehensive Behavioral Intervention for Tics (CBIT). Despite the efficacy of CBIT and related behavioral therapies, less than 40% of adults with TS respond to these treatments. Further examination of the relationship between premonitory urges, tic severity, and tic impairment can provide new insights into therapeutic targets to optimize behavioral treatment outcomes. This study examined whether urge intolerance-difficulty tolerating premonitory urges-predicted tic severity and tic-related impairment among adults with TS. Methods: Participants were 80 adults with TS. Assessments characterized premonitory urge, distress tolerance, tic severity, and tic impairment. We used structural equation modeling (SEM) to examine the construct of urge intolerance-comprised of premonitory urge ratings and distress tolerance ratings. We first evaluated a measurement model of urge intolerance through bifactor modeling, including tests of the incremental value of subfactors that reflect premonitory urge severity and distress tolerance within the model. We then evaluated a structural model where we predicted clinician-rated tic severity and tic impairment by the latent variable of urge intolerance established in our measurement model. Results: Analyses supported a bifactor measurement model of urge intolerance among adults with TS. Consistent with theoretical models, higher levels of urge intolerance predicted greater levels of clinician-rated tic severity and tic impairment. Conclusion: This investigation supports the construct of urge intolerance among adults with TS and distinguishes it from subcomponents of urge severity and distress tolerance. Given its predictive relationship with tic severity and tic impairment, urge intolerance represents a promising treatment target to improve therapeutic outcomes in adults with TS.

Imbalance between default mode and sensorimotor connectivity is associated with perseverative thinking in obsessive-compulsive disorder.

Obsessive-compulsive disorder (OCD) is highly heterogeneous. Although perseverative negative thinking (PT) is a feature of OCD, little is known about its neural mechanisms or relationship to clinical heterogeneity in the disorder. In a sample of 85 OCD patients, we investigated the relationships between self-reported PT, clinical symptom subtypes, and resting-state functional connectivity measures of local and global connectivity. Results indicated that PT scores were highly variable within the OCD sample, with greater PT relating to higher severity of the "unacceptable thoughts" symptom dimension. PT was positively related to local connectivity in subgenual anterior cingulate cortex (ACC), pregenual ACC, and the temporal poles-areas that are part of, or closely linked to, the default mode network (DMN)-and negatively related to local connectivity in sensorimotor cortex. While the majority of patients showed higher local connectivity strengths in sensorimotor compared to DMN regions, OCD patients with higher PT scores had less of an imbalance between sensorimotor and DMN connectivity than those with lower PT scores, with healthy controls exhibiting an intermediate pattern. Clinically, this imbalance was related to both the "unacceptable thoughts" and "symmetry/not-just-right-experiences" symptom dimensions, but in opposite directions. These effects remained significant after accounting for variance related to psychiatric comorbidity and medication use in the OCD sample, and no significant relationships were found between PT and global connectivity. These data indicate that PT is related to symptom and neural variability in OCD. Future work may wish to target this circuity when developing personalized interventions for patients with these symptoms.

An overview of the first 5 years of the ENIGMA obsessive-compulsive disorder working group: The power of worldwide collaboration.

Neuroimaging has played an important part in advancing our understanding of the neurobiology of obsessive-compulsive disorder (OCD). At the same time, neuroimaging studies of OCD have had notable limitations, including reliance on relatively small samples. International collaborative efforts to increase statistical power by combining samples from across sites have been bolstered by the ENIGMA consortium; this provides specific technical expertise for conducting multi-site analyses, as well as access to a collaborative community of neuroimaging scientists. In this article, we outline the background to, development of, and initial findings from ENIGMA's OCD working group, which currently consists of 47 samples from 34 institutes in 15 countries on 5 continents, with a total sample of 2,323 OCD patients and 2,325 healthy controls. Initial work has focused on studies of cortical thickness and subcortical volumes, structural connectivity, and brain lateralization in children, adolescents and adults with OCD, also including the study on the commonalities and distinctions across different neurodevelopment disorders. Additional work is ongoing, employing machine learning techniques. Findings to date have contributed to the development of neurobiological models of OCD, have provided an important model of global scientific collaboration, and have had a number of clinical implications. Importantly, our work has shed new light on questions about whether structural and functional alterations found in OCD reflect neurodevelopmental changes, effects of the disease process, or medication impacts. We conclude with a summary of ongoing work by ENIGMA-OCD, and a consideration of future directions for neuroimaging research on OCD within and beyond ENIGMA.

Intervention cost-effectiveness for pediatric anxiety and OCD: A systematic review and integrated database model.

BACKGROUND: While multiple treatments for pediatric anxiety and obsessive compulsive disorder (OCD) are efficacious, little is known about their cost-effectiveness. In response, we sought to provide relevant information through systematic review and cost-effectiveness simulation. METHODS: We evaluated the cost-effectiveness of treatment for pediatric anxiety and OCD in two ways. First, we conducted a systematic review following PRISMA guidelines. Second, we evaluated cost-effectiveness for antidepressant medication, cognitive behavioral therapy, and their combination via a simulation that integrated information from the Truven MarketScan database and the NIMH National Database for Clinical Trials Related to Mental Illness. RESULTS: Both systematic review and simulation found antidepressant medication and cognitive behavioral therapy to be cost-effective for pediatric anxiety and OCD. Antidepressant medication was the least costly approach, and cognitive behavioral therapy provided additional cost-effectiveness, especially for OCD. LIMITATIONS: During systematic review, relatively few articles provided information about both costs and effectiveness. While there was a notable margin of error to support multiple interventions as cost-effective, limited prior research decreased precision of point estimates and comparisons between interventions. CONCLUSIONS: Both antidepressant medication and cognitive behavioral therapy were found to be cost-effective for pediatric anxiety and OCD. Results supported investment from third party payers, who serve as critical gatekeepers that can increase treatment dissemination. However, more precise information would better inform the exact amount of investment needed, especially with regard to selection decisions between active interventions. Cost-effectiveness research would benefit from systematic collection of data on treatment costs and quality of life in future clinical trials.

Beyond Efficacy and Effectiveness: Clinical Efficiency Is Necessary for Dissemination.

Nearly all patients interact with critical gatekeepers-insurance companies or centralized healthcare systems. For mental health dissemination efforts to be successful, these gatekeepers must refer patients to evidence-based care. To make these referral decisions, they require evidence about the amount of resources expended to achieve therapeutic gains. Without this information, a bottleneck to widespread dissemination of evidence-based care will remain. To address this need for information, we introduce a new perspective, clinical efficiency. This approach directly ties resource usage to clinical outcomes. We highlight how cost-effectiveness approaches and other strategies can address clinical efficiency, and we also introduce a related new metric, the incremental time efficiency ratio (ITER). The ITER is particularly useful for quantifying the benefits of low-intensity and concentrated interventions, as well as stepped-care approaches. Given that stakeholders are increasingly requiring information on resource utilization, the ITER is a metric that can be estimated for past and future clinical trials. As a result, the ITER can allow researchers to better communicate desirable aspects of treatment, and an increased focus on clinical efficiency can improve our ability to deliver high-quality treatment to more patients in need.

Alcohol use, cannabis use, and psychopathology symptoms among college students before and after COVID-19.

College students have experienced significant disruptions related to COVID-19, and limited international data suggest they may be at elevated risk for mental health symptom increases related to COVID. Given their potentially elevated risk, our aim was to evaluate differences from pre-college closures to post-closure in mental health symptoms, alcohol, and cannabis use. Participants (N = 4749) were from seven U.S. public universities/colleges. They were 70.1 % female and 48.5 % white, non-Hispanic/Latino, with 48.1 % in their first college/university year. 30-day retrospective assessments of alcohol and cannabis use, and past 2-week retrospective assessments of anxiety, depression, anger, and insomnia were captured at the time of the survey. We examined differences between those providing data pre- and post-university closure via linear and negative binomial regressions. Alcohol and cannabis use days were 13 % and 24 % higher, respectively, from pre-to post-university closure; also, prevalence of any 30-day alcohol use and alcohol use consequences were both higher in the post-closure sample (odds ratios = 1.34 and 1.31, respectively). In contrast, days of binge alcohol use were 4 % lower in the post-closing sample. Depressive symptoms and anger were both modestly higher in post-closing participants (d < 0.1), with no differences in anxiety symptoms or insomnia. The modest differences in substance use and mental health from pre-closure through two months post-college closure suggest unexpected resilience in a large and diverse sample of students. College health providers will need to identify those students experiencing the greatest increases in mental health symptoms and substance use, using innovative outreach and treatment.

Integrating patient-reported outcomes and quantitative timed tasks to identify relapsing remitting multiple sclerosis patient subgroups: a latent profile analysis.

BACKGROUND: Multiple sclerosis (MS) patients experience wide-ranging symptoms with varied severity, and approaches that integrate patient-reported outcomes and objective quantitative measures will present opportunities for advancing clinical profiling. The primary objective of the current study was to conduct exploratory data analysis using latent variable modeling to empirically identify clusters of relapsing remitting (RR) MS patients with shared impairment patterns across three patient-reported outcomes and two timed task measures. METHODS: Latent profile analyses and impairment data for 2,012 RRMS patients identified distinct patient clusters using timed task measures of upper and lower limb performance, and patient-reported outcomes measuring quality of life, depression symptom severity, and perceived global disability. Multinomial logistic regression models were used to characterize associations between socio-demographic attributes and assignment to the patient clusters. RESULTS: There were 6 distinct clusters of RRMS patients that differed by symptom patterns, and by their socio-demographic attributes. Most notable were were no differences in age, sex, or disease duration between the least and most impaired classes, representing 14% and 4% of patients, respectively. Patients in the most impaired class were much more likely to be Black American, have a history of smoking, have a higher body mass index, and be of lower socioeconomic status than the least impaired class. There were positive relationships between age and classification to clusters of increasing moderately severe impairment but not the most severe clusters. CONCLUSION: We present a framework for discerning phenotypic impairment clusters in RRMS. The results demonstrate opportunities for advancing clinical profiling, which is necessary for optimizing personalized MS care models and clinical research.

Neurocognitive endophenotypes in pediatric OCD probands, their unaffected parents and siblings.

BACKGROUND: Limited extant research on neurocognitive endophenotypes in obsessive-compulsive disorder (OCD) show inconsistent results. Limitations of this body of literature include small sample sizes, strict exclusion criteria, lack of objective standard normalized test scores, and significant lack of studies utilizing pediatric probands. This study aimed to address these limitations. METHODS: A large carefully screened cohort of pediatric OCD (n = 102), their unaffected siblings (n = 78), and parents (n = 164), completed a neuropsychological battery. To compare participants at different ages and developmental stages, standard scores were computed using test norms. Cluster-robust regression with sample size-adjusted sandwich estimates of variance, and interclass correlations were computed. False Discovery Rate procedures were employed to correct for multiplicity. RESULTS: Probands, siblings and parents demonstrated deficient task performance (Z < -0.5) on the 'number of trials to complete first category' on the Wisconsin Card Sorting Test, and on the Stroop color naming trials. Compared to test norms, the three groups exhibited medium to large effect sizes on these outcome measures. No other meaningful familial trends were found. CONCLUSIONS: OCD probands, their unaffected siblings and parents exhibited deficiencies in specific subdomains of cognitive flexibility and inhibitory control, namely, initial concept formation and proactive control, which may be valid candidate neurocognitive endophenotypes of OCD. No other meaningful familial effect has been found on other functions, including other executive function indices such as perseverations and interference control. These results highlight the need to carefully examine individual outcomes from executive function tests instead of the tendency to focus largely on major outcome measures.

Orthorexia Nervosa Inventory (ONI): development and validation of a new measure of orthorexic symptomatology.

PURPOSE: To overcome the problems associated with existing measures of orthorexia, we assessed the reliability and validity of a new measure: the Orthorexia Nervosa Inventory (ONI). METHOD: An online survey was completed by 847 people recruited from undergraduate nutrition and psychology courses and from advertisements in Facebook and Instagram targeting both healthy eaters (with keywords such as "clean eating" and "healthy eating") and normal eaters (with keywords such as "delicious food" and "desserts"). RESULTS: Exploratory factor analysis revealed three factors with 9 items assessing behaviors and preoccupation with healthy eating, 10 items assessing physical and psychosocial impairments, and 5 items assessing emotional distress. With this sample, all scales demonstrated good internal consistency (Cronbach's α = 0.88-0.90) and 2-week test-retest reliability (r = 0.86- 0.87). Consistent with past research, ONI scores were significantly greater among vegetarians and vegans, and among those with higher levels of disordered eating, general obsessive-compulsive tendencies, and compulsive exercise. Additionally, whereas ONI scores did not significantly differ between men and women, the scores were negatively correlated with body mass index. CONCLUSION: The ONI is the first orthorexia measure to include items assessing physical impairments that researchers and clinicians agree comprise a key component of the disorder. Additionally, at least for the current sample, the ONI is a reliable measure with expected correlations based on the past research. LEVEL OF EVIDENCE: Level V, descriptive cross-sectional study.

Symptom Trajectories of Early Responders and Remitters among Youth with OCD.

Objectives: This study examined the phenomenology and predictors of early response and remission among youth with obsessive-compulsive disorder (OCD) receiving cognitive-behavioral therapy (CBT). Methods: One hundred and thirty-nine youth with a current primary diagnosis of OCD participated in this study. Participants received 10 sessions of CBT augmented by either placebo or d-cycloserine (DCS) as part of a randomized double-blind multi-site clinical trial. Early response and remission status were determined by clinician-rated global symptom improvement (CGI-I) and severity (CGI-S), respectively. Results: At the mid-treatment assessment, 45.3% of youth were early responders, and 28.1% were early remitters. At post-treatment assessment, 79.1% of youth were responders and 67.6% were remitters. Early response predicted a higher likelihood of post-treatment response and remission; early remission significantly predicted a higher likelihood of post-treatment remission. Bivariate logistic regressions showed that early response was predicted by lower baseline clinician-rated global severity (CGI-S) and lower depression severity; however, only depression severity remained a significant predictor in the multivariable logistic regression model. Furthermore, bivariate logistic regressions showed that early remission was predicted by lower baseline clinician-rated global severity (CGI-S), lower depression severity, and lower obsessive-compulsive symptom severity (CY-BOCS); however, only global severity remained a significant predictor in the multivariable logistic regression model. Conclusions: Lower OCD and depression symptom severity predicted a greater likelihood of early treatment response and remission to CBT. Findings suggest that low OCD and depression symptom severity could serve as baseline characteristics to identify potential candidates for lower-intensity initial interventions in a stepped care approach. The modest predictive value of the variables examined suggests that additional factors could add to prediction of treatment response and remission.

A Pilot Study of Family-Based Exposure-Focused Treatment for Youth with Autism Spectrum Disorder and Anxiety.

Anxiety is a common and impairing condition in youth with autism spectrum disorders (ASD). Evidence supports the use of cognitive behavioral therapy for treating anxiety in this population; however, available treatment protocols may be difficult to implement outside of research settings. The present study examined the efficacy of family-based exposure-focused treatment (FET) compared to a treatment as usual (TAU) control in 32 youth aged 6-17 years with ASD and co-occurring anxiety. Fourteen youth were randomized to FET, which included 12 face-to-face weekly therapy sessions lasing 45-55 min, while 18 youth completed the TAU control where engagement in psychotherapy or pharmacotherapy was at the discretion of the families. Results strongly supported FET with a 79% (versus 0% in TAU) response rate, 86% (versus 0% in TAU) remission in primary anxiety diagnosis, and large between-group effects on clinician-rated anxiety severity and most parent-rated domains of anxiety-related impairment. Among treatment responders, 2-month follow-up supported maintenance of gains. Overall, the study supported FET as a relatively brief intervention for the treatment of anxiety in youth with ASD, although further research is needed to replicate these findings and compare FET outcomes to more comprehensive interventions.

Parental Attitudes Toward Deep Brain Stimulation in Adolescents with Treatment-Resistant Conditions.

Objective: To examine parent's perceptions of deep brain stimulation (DBS) and whether DBS is perceived to be a viable and safe treatment for their adolescent child presenting with a severe, treatment-resistant neurological or psychiatric condition. Method: Two hundred and seventy-nine parents completed an online survey using Amazon Mechanical Turk (MTurk). Participants were presented with five vignette scenarios involving adolescents with severe, treatment-resistant neurological or psychiatric conditions: Rett syndrome, autism spectrum disorder, epilepsy, obsessive-compulsive disorder, and Tourette syndrome. Parents were then asked to evaluate each scenario and rate overall acceptability of using DBS to improve their child's core symptoms. Data were collected over a period of 2 weeks in the month of October 2018. Results: We found that parents reported favorable impressions of DBS regardless of the target condition, especially when greater improvement could be assured and when their child had the capacity to assist in the treatment decision-making. Parents indicated some reluctance to use DBS when possible safety concerns were present. Familiarity with DBS was directly associated with attitudes. Conclusions: The findings highlight an overall parental willingness to consider DBS as a treatment option for key symptoms of neurological and psychiatric conditions in adolescents.

Factors Associated With Length of Stay in Emergency Departments for Pediatric Patients With Psychiatric Problems.

OBJECTIVES: Length of stay (LOS) and boarding for pediatric psychiatric patients presenting in the emergency department (ED) have been understudied, despite evidence that children with psychiatric disorders experience longer LOS relative to those without. This investigation examined correlates of LOS and boarding among youth with psychiatric disorders presenting to the ED in a large, statewide database. METHODS: Using the 2010 to 2013 Florida ED discharge database, generalized linear mixed models were used to examine for associations between LOS and patient and hospital characteristics among pediatric patients (<18 years) who presented with a primary psychiatric diagnosis (N = 44,328). RESULTS: Patients had an overall mean ± SD ED LOS of 5.96 ± 8.64 hours. Depending on the definition used (ie, 12 or 6 hours), between 23% and 58% of transferred patients were boarded. Patient characteristics associated with a longer LOS included female sex, being 15 to 17 years old, Hispanic ethnicity, having Medicaid or VA/TriCare insurance, having impulse control problems, having mood or psychotic disorders, and exhibiting self-harm behaviors. Patient transfer, large hospital size, and rural designation were associated with longer LOS. Teaching hospital status and profit status were not significantly associated with LOS. CONCLUSIONS: These data suggest that LOS for pediatric psychiatry patients in the ED varies significantly by psychiatric presentation, patient disposition, and hospital factors. Such findings have implications for quality of care, patient safety, and health outcomes.

Diverse diagnostic profiles associated with prescription opioid use disorder in a nationwide sample: One crisis, multiple needs.

OBJECTIVE: The opioid crisis has had devastating effects on individuals and communities, and it has rapidly increased in severity. However, we still lack nationally representative information on the diversity of comorbidity patterns among prescription opioid use disorder (P-OUD), other substance use disorders (SUDs), and psychopathology using the newest edition of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.; DSM-5; American Psychiatric Association, 2013). This impedes planning for multiple aspects of intervention, including society-wide allocation of treatment resources, program design at individual treatment centers, and personalized care to individual patients. METHOD: To address this critical gap in information, we evaluated clinical profiles of American adults via latent class analysis in a large, recently collected epidemiological dataset that uses structured diagnostic assessment for DSM-5 psychopathology (National Epidemiologic Survey on Alcohol and Related Conditions-III; N = 36,309). Variables considered for profiles included lifetime diagnosis for multiple SUDs, various externalizing and internalizing conditions, and demographic variables. We then associated clinical profiles with demographic variables and functional impairment. RESULTS: Comorbid psychopathology and other SUDs were common in latent classes with elevated and very high rates of P-OUD. To illustrate, alcohol use disorder rates were greater than 45%, and posttraumatic stress disorder rates were greater than 28% in classes with higher P-OUD rates. Higher P-OUD rates were associated with White/non-Hispanic and American Indian/Alaska Native populations. Relationships between P-OUD rates and functional impairment were inconsistent. CONCLUSION: Many current treatment delivery systems are not designed to accommodate the heterogeneous profiles associated with high P-OUD rates. We provide specific suggestions for improvements to the mental health service system, individual clinical care programs, and future research approaches. (PsycINFO Database Record (c) 2019 APA, all rights reserved).