Faculty Bibliography

Although parenting interventions are recommended by major clinical guidelines for managing children's behavioral challenges, including ADHD, their uptake in clinical practice remains limited. Building on the contributions of Hodson et al. and Nijboer et al. in the current issue of this journal, we here explore solutions to enhance this uptake. We first summarize the usual suspects: solutions that could be implemented in our current mental healthcare systems. Digital and brief interventions could remove obstacles that are often experienced with traditional parenting interventions, and nudges inspired by behavioral economic theories can help remove dynamic, time-varying barriers experienced by parents that may arise during the course of the intervention. We then zoom out and present a paradigmatic challenge. The current narrative surrounding behavioral problems like ADHD is predominantly biomedical, which tends to elevate expectations for treatments such as medication while simultaneously diminishing confidence in parenting interventions. From this perspective, it is unsurprising that engagement issues arise when a context-focused intervention such as parent training is proposed as a solution to a decontextualized problem like ADHD. Adopting a truly balanced biopsychosocial-societal perspective on behavioral problems like ADHD would better reflect their complex and heterogeneous etiology, and would broaden the scope for interventions, such as parenting programs, that focus on optimizing children's contextual environments.

BACKGROUND:Randomised controlled trials (RCTs) evaluating ADHD medications often use strict eligibility criteria, potentially limiting generalisability to patients in real-world clinical settings. We aimed to identify the proportion of individuals with ADHD who would be ineligible for medication RCTs and evaluate differences in treatment patterns and clinical and functional outcomes between RCT-eligible and RCT-ineligible individuals. METHODS:We used multiple Swedish national registries to identify individuals with ADHD, aged at least 4 years at the age of diagnosis, initiating pharmacological treatment between Jan 1, 2007, and Dec 31, 2019, with follow-up up to Dec 31, 2020. Hypothetical RCT ineligibility was established using exclusion criteria from the international MED-ADHD dataset, including 164 RCTs of ADHD medications. Cox models evaluated differences in medication switching and discontinuation within 1 year between eligible and ineligible individuals. Quasi-Poisson models compared eligible and ineligible individuals on rates of psychiatric hospitalisations, injuries or accidents, and substance use disorder within 1 year of initiating ADHD medications. People with lived experience of ADHD were not involved in the research and writing process. FINDINGS/RESULTS:Of 189 699 individuals included in the study cohort (112 153 men and boys [59%] and 77 546 women and girls [41%]; mean age 21·52 years [SD 12·83; range 4-68]) initiating ADHD medication, 53% (76 477 [74%] of 103 023 adults [aged >17 years], 12 658 [35%] of 35 681 adolescents [aged 13-17 years], and 10 643 [21%] of 50 995 children [aged <13 years]) would have been ineligible for RCT participation. Ethnicity data were not available. Ineligible individuals had a higher likelihood of treatment switching (hazard ratio 1·14, 95% CI 1·12-1·16) and a decreased likelihood of medication discontinuation (0·96, 0·94-0·98) compared with eligible individuals. Individuals ineligible for RCTs had significantly higher rates of psychiatric hospitalisations (ncidence rate ratio 9·68, 95% CI 9·57-9·78) and specialist care visits related to substance use disorder (14·78, 14·64-14·91), depression (6·00, 5·94-6·06), and anxiety (11·63, 11·56-11·69). INTERPRETATION/CONCLUSIONS:Individuals ineligible for ADHD medication trials face higher risks of adverse outcomes. This study provides the first empirical evidence for the limited generalisability of ADHD RCTs to real-world clinical populations, by applying eligibility criteria extracted from a comprehensive dataset of RCTs to a large real-world cohort. Triangulating evidence from RCTs and real-world studies is crucial to inform rigorous evidence-based treatment guidelines. FUNDING/BACKGROUND:National Institute of Healthcare and Research, European Union's Horizon 2020, and Swedish Research Council.

The differential influence of sex on premature mortality in schizophrenia is unclear. This study assessed the differences in all-cause and specific cause mortality risks in people with schizophrenia compared to several control groups stratified by sex. We conducted a PRISMA 2020-compliant systematic review and random-effects meta-analysis of cohort studies assessing mortality relative risk (RR) for people with schizophrenia, comparing by sex. We measured publication bias and conducted a quality assessment through the Newcastle-Ottawa scale. We meta-analyzed 43 studies reporting on 2,700,825 people with schizophrenia. Both males and females with schizophrenia had increased all-cause mortality vs. comparison groups (males, RR=2.62, 95%CI 2.35-2.92; females, RR=2.56, 95%CI 2.27-2.87), suicide (males, RR=9.02, 95%CI 5.96-13.67; females, RR=12.09, 95%CI 9.00-16.25), and natural cause mortality (males, RR=2.11, 95%CI 1.88-2.38; females, RR=2.14, 95%CI 1.93-2.38). No statistically significant differences in sex-dependent mortality risk emerged. There was an age-group-dependent increased mortality risk in females < 40 years vs. >/=40 years old (RR=4.23/2.17), and significantly higher risk of death due to neurological disorders (dementia) in males vs. females (RR=5.19/2.40). Increased mortality risks were often associated with specific modifiable risk factors. The increased mortality risk did not improve over time, calling for more studies to identify modifiable factors, and for better physical healthcare for males and females with schizophrenia.

INTRODUCTION/BACKGROUND:High tobacco smoking prevalence in people with low SES or serious psychological distress (SPD) in the U.S. may increase cardiovascular disease (CVD) risk among these marginalized subpopulations. We estimate how smoking disparities contribute to CVD disparities. METHODS:Using the Simulation of Tobacco and Nicotine Outcomes and Policy model, a validated microsimulation model of tobacco use and clinical outcomes, we used 2004-2019 data from the National Health Interview Survey to first compare 20-year cumulative CVD incidence for 40-year-olds by sex, smoking status, and marginalized subpopulation membership. Second, we simulated the marginalized subpopulations with representative age, sex, and smoking status distributions to estimate 20-year cumulative CVD incidence under status quo and counterfactual scenarios. In the counterfactual scenario, smoking prevalence and trends in the low SES and SPD subpopulations match those in the higher SES and non-SPD subpopulations, respectively. RESULTS:The model-projected impact of smoking on 20-year cumulative CVD incidence is considerably larger than the impact of low SES or SPD; for example, among 40-year-old males, cumulative CVD incidence is 28.3% for low SES people who currently smoke, 13.0% for low SES people who never smoke, and 26.2% for higher SES people who currently smoke. In the second analysis, in the status quo scenario, model-projected 20-year cumulative CVD incidence is 19.3% for low SES and 22.1% for SPD; in the counterfactual scenario, it is 18.1% for low SES and 19.6% for SPD. CONCLUSIONS:Interventions focused on reducing smoking disparities could substantially reduce CVD in marginalized subpopulations.

Methionine aminopeptidase 2 (MetAP2) plays an important role in the regulation of protein synthesis and post-translational processing. Preclinical/clinical applications of MetAP2 inhibitors for the treatment of various diseases have been explored because of their antiangiogenic, anticancer, antiobesity, antidiabetic, and immunosuppressive properties. However, the effects of MetAP2 inhibitors on CNS diseases are rarely examined despite the abundant presence of MetAP2 in the brain. Previously, we synthesized a novel boron-containing MetAP2 inhibitor, BL6, and found that it suppressed angiogenesis and adipogenesis yet improved glucose uptake. Here, we studied the anti-inflammatory effects of BL6 in SIM-A9 microglia and in a mouse model of Alzheimer's disease generated by the intracerebroventricular (icv) injection of streptozotocin (STZ). We found that BL6 reduced proinflammatory molecules, such as nitric oxide, iNOS, IL-1β, and IL-6, together with phospho-Akt and phospho-NF-κB p65, which were elevated in lipopolysaccharide (LPS)-activated microglial SIM-A9 cells. However, the LPS-induced reduction in Arg-1 and CD206 was attenuated by BL6, suggesting that BL6 promotes microglial M1 to M2 polarization. BL6 also decreased glial activation along with a reduction in phospho-tau and an elevation in synaptophysin in the icv-STZ mouse model. Thus, our experiments demonstrate an anti-neuroinflammatory action of BL6, suggesting possible clinical applications of MetAP2 inhibitors for brain disorders in which neuroinflammation is involved.

OBJECTIVE/UNASSIGNED:This study assessed the utility and effectiveness of the new general health integration (GHI) framework among community behavioral health organizations designated as certified community behavioral health clinics (CCBHCs) or in the process of applying to become a CCBHC. METHODS/UNASSIGNED:Nineteen licensed community behavioral health clinics, 18 of which had CCBHC status, participated in a 12-month learning collaborative. They used the GHI framework to assess their integration stage for 15 subdomains within eight domains of evidence-based practice. The clinics worked to improve their GHI practices with the support of monthly learning collaborative webinars, individual consultation calls, and technical assistance sessions. Clinics reported on performance quality metrics aligned with national CCBHC standards. Outcome measures included GHI framework scores at baseline and 1-year follow-up, capacity to report quality metrics at baseline and at the end of the collaborative, and average performance on the quality metrics at baseline versus at the end of the collaborative. RESULTS/UNASSIGNED:Clinics showed overall improvement in integration stage over the study period. Of note, higher baseline GHI framework scores demonstrated a significant association with greater-quality performance at baseline (r=0.577, p=0.024) and follow-up (r=0.782, p=0.001). Capacity to track and report quality metrics increased significantly during the learning collaborative, as did average performance on quality metrics. CONCLUSIONS/UNASSIGNED:Community behavioral health clinics using the GHI framework were able to advance their GHI practices with a 12-month learning collaborative project. The framework has the potential to serve as a useful tool for clinics aiming to enhance GHI practices.

OBJECTIVE/UNASSIGNED:receptor antagonist ondansetron. The present study employed an experimental medicine approach to test the effects of 4 weeks of high-dose ondansetron compared to placebo on SP severity and brain connectivity in a cohort of individuals with OCD and/or Tourette's disorder. METHODS/UNASSIGNED:Of 51 participants who completed the study, 27 were assigned to receive 24 mg/day of ondansetron and 24 to receive placebo. Analyses examined changes in SP severity and, for participants with OCD, overall OCD severity from baseline to final visit. Functional MRI data were collected at both visits for analysis of intrinsic functional connectivity metrics characterizing global correlation (reflecting area "hubness") and local correlation (reflecting near-neighbor coherence). RESULTS/UNASSIGNED:There were no significant differences between ondansetron and placebo in the reduction of SP or overall OCD severity in the full sample. In a subsample of participants with OCD taking concomitant serotonin reuptake inhibitors (SRIs), ondansetron was associated with a significant decrease in overall OCD severity and global connectivity of the medial sensorimotor cortex compared with placebo. Longitudinal reductions in SP severity were related to decreases in right sensorimotor hubness in both groups, and to brainstem local coherence only in participants taking ondansetron. CONCLUSIONS/UNASSIGNED:There was no effect of high-dose ondansetron on SP. However, when used as an augmentation to SRIs, ondansetron reduced overall OCD severity, which may be related to changes in the "hubness" of the sensorimotor cortex. Ondansetron's ability to modulate brainstem connectivity may underlie its variable effectiveness in reducing SP.

BACKGROUND:The prevalence of trauma among individuals with HIV has prompted efforts to integrate trauma-informed care (TIC) into HIV care and treatment to improve health outcomes. A TIC Implementation Model, developed by a US capacity-building organization focuses on organizational changes, aligning cultural and physical environments, emphasizing values like safety and trustworthiness, engaging leadership, and training staff in skills-based TIC services. Despite growing research, gaps remain in understanding the relationship between organizational capacity, provider knowledge, and the dosage of technical assistance (TA) required to sustain TIC integration. Researchers investigated how the project team adapted the type and amount of TA based on initial Cultural Assessment scores (measuring core TIC values) and its impact on Implementation Status scores. METHODS:This study focuses on eight of 20 HIV care agencies in New Jersey that had largely met their TIC implementation goals by Spring 2022. As part of the TIC Implementation Model to measure agency capacity and implementation progress over time, agency staff and clients completed a Cultural Assessment (n = 72) and Physical Assessment (n = 43); staff completed a Pre/Post Training Survey (n = 296); and implementation teams at 8 agencies completed an Implementation Status Assessment Tool. Additionally, TA Logs capturing the details of TA meetings with the eight agencies were recorded by project staff. Data from these tools were analyzed in aggregate by agency using descriptive and correlational analyses. RESULTS:Results demonstrated responsive TA correlated with agencies' baseline capacity. Agencies with lower capacity received significantly more frequent and extended TA encounters, which were associated with higher implementation scores and improvements in cultural environments for staff and clients (e.g., new protocols for staff response plans). CONCLUSIONS:These findings underscore the importance of tailored TA in fostering diverse organizational cultures conducive to TIC implementation. For HIV care agencies, successful TIC implementation can impact health behaviors and outcomes for clients impacted by trauma. The TIC Implementation Model significantly advanced organizations' ability to transform their culture and systems, increasing their capacity to implement and sustain TIC integration. These results align with existing research that emphasizes when time is invested to shift organizational culture and develop leadership, new practices can effectively be implemented and scaled-up.

The diagnosis of autism is currently based on the developmental history, direct observation of behavior, and reported symptoms, supplemented by rating scales/interviews/structured observational evaluations-which is influenced by the clinician's knowledge and experience-with no established diagnostic biomarkers. A growing body of research has been conducted over the past decades to improve diagnostic accuracy. Here, we provide an overview of the current diagnostic assessment process as well as of recent and ongoing developments to support diagnosis in terms of genetic evaluation, telemedicine, digital technologies, use of machine learning/artificial intelligence, and research on candidate diagnostic biomarkers. Genetic testing can meaningfully contribute to the assessment process, but caution is required when interpreting negative results, and more work is needed to strengthen the transferability of genetic information into clinical practice. Digital diagnostic and machine-learning-based analyses are emerging as promising approaches, but larger and more robust studies are needed. To date, there are no available diagnostic biomarkers. Moving forward, international collaborations may help develop multimodal datasets to identify biomarkers, ensure reproducibility, and support clinical translation.