Faculty Bibliography

Neurodevelopmental disorders - including attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, communication disorders, intellectual disability, motor disorders, specific learning disorders, and tic disorders - manifest themselves early in development. Valid, reliable and broadly usable biomarkers supporting a timely diagnosis of these disorders would be highly relevant from a clinical and public health standpoint. We conducted the first systematic review of studies on candidate diagnostic biomarkers for these disorders in children and adolescents. We searched Medline and Embase + Embase Classic with terms relating to biomarkers until April 6, 2022, and conducted additional targeted searches for genome-wide association studies (GWAS) and neuroimaging or neurophysiological studies carried out by international consortia. We considered a candidate biomarker as promising if it was reported in at least two independent studies providing evidence of sensitivity and specificity of at least 80%. After screening 10,625 references, we retained 780 studies (374 biochemical, 203 neuroimaging, 133 neurophysiological and 65 neuropsychological studies, and five GWAS), including a total of approximately 120,000 cases and 176,000 controls. While the majority of the studies focused simply on associations, we could not find any biomarker for which there was evidence - from two or more studies from independent research groups, with results going into the same direction - of specificity and sensitivity of at least 80%. Other important metrics to assess the validity of a candidate biomarker, such as positive predictive value and negative predictive value, were infrequently reported. Limitations of the currently available studies include mostly small sample size, heterogeneous approaches and candidate biomarker targets, undue focus on single instead of joint biomarker signatures, and incomplete accounting for potential confounding factors. Future multivariable and multi-level approaches may be best suited to find valid candidate biomarkers, which will then need to be validated in external, independent samples and then, importantly, tested in terms of feasibility and cost-effectiveness, before they can be implemented in daily clinical practice.

The ability to sustain attention is a critical cognitive domain that emerges in infancy and is predictive of a multitude of cognitive processes. Here, we used a heart rate (HR) defined measure of sustained attention to assess corresponding changes in frontal electroencephalography (EEG) power at 3 months of age. Second, we examined how the neural underpinnings of HR-defined sustained attention were associated with sustained attention engagement. Third, we evaluated if neural or behavioral sustained attention measures at 3-months predicted subsequent recognition memory scores at 9 months of age. Seventy-five infants were included at 3 months of age and provided usable attention and EEG data and 25 infants returned to the lab at 9 months and provided usable recognition memory data. The current study focuses on oscillatory power in the theta (4-6 Hz) frequency band during phases of HR-defined sustained attention and inattention phases. Results revealed that theta power was significantly higher during phases of sustained attention. Second, higher theta power during sustained attention was positively associated with proportion of time in sustained attention. Third, longitudinal analyses indicated a significant positive association between theta power during sustained attention on 9-month visual paired comparison scores such that higher theta power predicted higher visual paired comparison scores at 9-months. These results highlight the interrelation of the attention and arousal systems which have longitudinal implications for subsequent recognition memory processes.

Clinical neuropsychology has been a valuable asset to neurologic surgery, contributing to lateralization and localization of pathologic brain tissue, identification of eloquent cortex, and evaluation of postoperative neuropsychological functioning. Moreover, neuropsychologists provide empirically driven interventions aimed at supporting preparation and/or recovery of neurosurgery patients. Nonetheless, several challenges may limit the reliability, validity, and generalizability of the assessment data obtained and reduce the usefulness of other neuropsychological services provided. Specifically, linguistic, cultural, educational, and other biases associated with demographic characteristics can lead to a narrowed view of an individual's life experiences, which must be confronted to fulfill the mission of ensuring that all patients have access to care that is appropriate to their needs. Instead of perceiving these challenges as insurmountable barriers, such issues can be viewed as opportunities to catalyze change and foster innovation for the future of neuropsychological care in neurosurgical settings. In addition to reviewing the possible mechanisms of these obstacles, the current article offers tangible solutions at both a macro level (e.g., discipline-wide transformations) and micro level (e.g., individualized patient-centric approaches). Outlined are practical techniques to potentially improve consensus and standardization of methods, advance and globalize research, expand representativeness of measures and practices to serve diverse individuals, and increase treatment adherence through engagement of patients and their families.

Background and Aims: Diabetes technology (DT) use is associated with lower HbA1c in type 1 diabetes (T1D). Non- Hispanic Black and Hispanic populations are more likely to have lower DT use and higher HbA1c compared to non-Hispanic White populations. We examined the extent to which differential DT use explains outcome disparities at an outpatient pediatric diabetes center in NYC.
Method(s): Patients identifying as non-White, Hispanic, or non-English language preference were grouped (minority race/ language; MRL) and compared to non-Hispanic White, Englishpreferred patients. HbA1c >9% was categorized as high. T-test and chi-square statistics compared patient characteristics by HbA1c category. Binomial regression with generalized estimating equations estimated associations (risk ratios, RR; 95% confidence intervals, CI) between MRL and high HbA1c. First, models were adjusted for insurance type and Child Opportunity Index (COI), then additionally for CGM and pump use.
Result(s): Patients (n = 331) aged 2-25 years with T1D >= 3 months attended 709 visits (mean 2.2, SD 1.2) from 2020-2021; 32% identified as MRL. At the most recent visit, 16% had HbA1c>9% (MRL 29%, non-MRL 10%), 87% used CGMs (MRL 77%, non-MRL 92%), and 78% used pumps (MRL 72%, non-MRL 81%). MRL youth were 2.5 (95% CI 1.6-4.0) times more likely to have HbA1c>9% as compared to non-MRL youth, adjusted for insurance and COI. After adjusting for DT use, MRL youth remained twice as likely to have HbA1c>9% (RR 2.0, 95% CI 1.2-3.3).
Conclusion(s): While the disparity in HbA1c between MRL and non-MRL youth can be partially attributed to DT use, disparity persists even after accounting for DT use

OBJECTIVE:Impairing emotional outbursts, defined by extreme anger or distress in response to relatively ordinary frustrations and disappointments, impact all mental health care systems, emergency departments, schools, and juvenile justice programs. However, the prevalence, outcome, and impact of outbursts are difficult to quantify because they are transdiagnostic and not explicitly defined by current diagnostic nosology. Research variably addresses outbursts under the rubrics of tantrums, anger, irritability, aggression, rage attacks, or emotional and behavioral dysregulation. Consistent methods for identifying and assessing impairing emotional outbursts across development or systems of care are lacking. METHOD/METHODS:The American Academy of Child and Adolescent Psychiatry Presidential Task Force (2019-2021) conducted a narrative review addressing impairing emotional outbursts within the limitations of the existing literature and independent of diagnosis. RESULTS:Extrapolating from the existing literature, best estimates suggest that outbursts occur in 4%-10% of community children (preschoolers through adolescents). Impairing emotional outbursts may respond to successful treatment of the primary disorder, especially for some children with attention-deficit/hyperactivity disorder whose medications have been optimized. However, outbursts are generally multi-determined and often represent maladaptive or deficient coping strategies and responses. CONCLUSION/CONCLUSIONS:Evidence-based strategies are necessary to address factors that trigger, reinforce, or excuse the behaviors and to enhance problem-solving skills. Currently available interventions yield only modest effect sizes for treatment effect. More specific definitions and measures are needed to track and quantify outbursts and to design and assess the effectiveness of interventions. Better treatments are clearly needed.

Identifying substance use disorders (SUDs) early and accurately improves case formulation and treatment. Previous studies have investigated validity and reliability of the Child and Adolescent Symptom Inventory (CASI) for anxiety, mood, and behavior problems. The present study's aim was to test if the embedded CASI Substance Use (SU) subscale can discriminate adolescents and young adults (AYA) with and without a SUD diagnosis accurately enough to justify clinical application within an evidence-based assessment framework. N = 479 outpatient AYA (age 14-21) and their caregivers completed K-SADS-PLW semistructured diagnostic interviews; caregivers completed the CASI and adolescents completed a parallel version, the Youth (self-report) Inventory (YI). K-SADS-PLW indicated that 33 youth met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for SUDs. Receiver Operating Characteristic (ROC) analyses found that both CASI and YI Substance Use subscale scores significantly identified K-SADS-diagnosed SUDs in AYA: Caregiver area under curve (AUC) = .91, p < .0005; YI(AUC) = .90, p < .0005. There was no significant difference in diagnostic accuracy between informants. Both subscales showed diagnostic and clinical utility in identifying AYA SUDs in outpatient mental health settings. Findings suggest that the CASI-4R subscale could be a helpful screening instrument for AYA SUDs. A case vignette illustrates the clinical application of study findings. Future research should examine rapport as a moderator of reporting accuracy, and replicate use of these measures under varying clinical scenarios. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

High quality and culturally responsive early childhood education and care (ECEC) for young children before kindergarten is seen as a way to ensure that all children enter school ready to learn. ECEC is even more crucial in the context of recovery from the COVID-19 pandemic and the disproportionate burden of trauma and stress borne by families of color in disinvested neighborhoods. Remote learning and repeated disruptions to in-person instruction as protocols shifted during waves of the pandemic placed an extra strain on families, and may have increased educational disparities in the U.S. Taken together, these challenges have implications for children's school readiness due to their impact on opportunities for learning at home and in the classroom. This paper explores how ECEC programs can be strengthened to better meet children's needs, and ways in which future research can shed light on these important issues.

Empirical evidence indicates a significant bidirectional association between mental disorders and physical diseases, but the prospective impact of men-tal disorders on clinical outcomes of physical diseases has not been comprehensively outlined. In this PRISMA- and COSMOS-E-compliant umbrella review, we searched PubMed, PsycINFO, Embase, and Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, up to March 15, 2022, to identify systematic reviews with meta-analysis that examined the prospective association between any mental disorder and clinical outcomes of physical diseases. Primary outcomes were disease-specific mortality and all-cause mortality. Secondary outcomes were disease-specific incidence, functioning and/or disability, symptom severity, quality of life, recurrence or progression, major cardiac events, and treatment-related outcomes. Additional inclusion criteria were further applied to primary studies. Random effect models were employed, along with I² statistic, 95% prediction intervals, small-study effects test, excess significance bias test, and risk of bias (ROBIS) assessment. Associations were classified into five credibility classes of evidence (I to IV and non-significant) according to established criteria, complemented by sensitivity and subgroup analyses to examine the robustness of the main analysis. Statistical analysis was performed using a new package for conducting umbrella reviews (https://metaumbrella.org). Population attributable fraction (PAF) and generalized impact fraction (GIF) were then calculated for class I-III associations. Forty-seven systematic reviews with meta-analysis, encompassing 251 non-overlapping primary studies and reporting 74 associations, were included (68% were at low risk of bias at the ROBIS assessment). Altogether, 43 primary outcomes (disease-specific mortality: n=17; all-cause mortality: n=26) and 31 secondary outcomes were investigated. Although 72% of associations were statistically significant (p<0.05), only two showed convincing (class I) evidence: that between depressive disorders and all-cause mortality in patients with heart failure (hazard ratio, HR=1.44, 95% CI: 1.26-1.65), and that between schizophrenia and cardiovascular mortality in patients with cardiovascular diseases (risk ratio, RR=1.54, 95% CI: 1.36-1.75). Six associations showed highly suggestive (class II) evidence: those between depressive disorders and all-cause mortality in patients with diabetes mellitus (HR=2.84, 95% CI: 2.00-4.03) and with kidney failure (HR=1.41, 95% CI: 1.31-1.51); that between depressive disorders and major cardiac events in patients with myocardial infarction (odds ratio, OR=1.52, 95% CI: 1.36-1.70); that between depressive disorders and dementia in patients with diabetes mellitus (HR=2.11, 95% CI: 1.77-2.52); that between alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C (RR=3.15, 95% CI: 2.87-3.46); and that between schizophrenia and cancer mortality in patients with cancer (standardized mean ratio, SMR=1.74, 95% CI: 1.41-2.15). Sensitivity/subgroup analyses confirmed these results. The largest PAFs were 30.56% (95% CI: 27.67-33.49) for alcohol use disorder and decompensated liver cirrhosis in patients with hepatitis C, 26.81% (95% CI: 16.61-37.67) for depressive disorders and all-cause mortality in patients with diabetes mellitus, 13.68% (95% CI: 9.87-17.58) for depressive disorders and major cardiac events in patients with myocardial infarction, 11.99% (95% CI: 8.29-15.84) for schizophrenia and cardiovascular mortality in patients with cardiovascular diseases, and 11.59% (95% CI: 9.09-14.14) for depressive disorders and all-cause mortality in patients with kidney failure. The GIFs confirmed the preventive capacity of these associations. This umbrella review demonstrates that mental disorders increase the risk of a poor clinical outcome in several physical diseases. Prevention targeting mental disorders - particularly alcohol use disorders, depressive disorders, and schizophrenia - can reduce the incidence of adverse clinical outcomes in people with physical diseases. These findings can inform clinical practice and trans-speciality preventive approaches cutting across psychiatric and somatic medicine.

In this Clinical Perspective, we argue that, at least for some patients, formulation, rather than diagnosis, should be the cornerstone in clinical practice in child and adolescent psychiatry. As opposed to a rigid, tick-the-box approach to formulation, we advocate for a conceptualization of formulation that moves the practice of (child and adolescent) psychiatry into the realm of storytelling and construction of narratives. We suggest that the use of role playing and narrative art forms, such as novels or films, during the training may contribute to develop the skills in telling a story (ie, the formulation) about/to a patient.

Understanding family functioning, particularly the risk and protective factors that may contribute to adaptive versus maladaptive family processes, is critical to promote child and family well-being and resilience. Guided by family systems theory and the family stress model, this study longitudinally investigated parents' and toddlers' individual-level challenges and parental internal resources as potential predictors of subsequent perceived family functioning (i.e., general family functioning and family conflict), while accounting for earlier couple functioning. First-time mothers' and fathers' reports of psychological distress, perceived child behavior problems, intrapersonal resources (i.e., coping, emotion regulation, and empathy), and couple functioning (i.e., relationship satisfaction and intimate partner violence victimization) were assessed when their child was 18 months and 4 years of age. Using autoregressive path models, results suggested that greater maternal distress and paternal perceptions of toddler behavior problems predicted later reports of perceived family dysfunction, whereas parental intrapersonal resources predicted more adaptive perceived family functioning. Overall, findings indicate mutual or bidirectional influence within the family, consistent with the family systems principle of reciprocal causality. Clinical implications are discussed, including the need to bolster parents' existing strengths as well as providing prevention and early screening of depressive symptoms among parents. (PsycInfo Database Record (c) 2022 APA, all rights reserved).