Faculty Bibliography
Searched for:
school:SOM
Department/Unit:Child and Adolescent Psychiatry
Total Results:
11329
Cognitive and behavioral profiles in children with autism spectrum disorder with and without Attention-Deficit/hyperactivity disorder
BACKGROUND:Understanding the developmental trajectories of children with autism spectrum disorder (ASD) with and without comorbid ADHD is relevant to tailor care plans. This prospective study assessed, for the first time, cognitive, emotional, behavioral, and learning outcomes in adolescence of children with ASD-ADHD and in those with ASD+ADHD in childhood. Possible predictors of severity of ASD core symptoms in adolescence were also evaluated. METHODS:Forty-five adolescents without intellectual disability, 26 diagnosed in childhood with ASD-ADHD and 19 with ASD+ADHD, were evaluated at baseline (mean age: 8.6 ± 1.3) and at 5-year follow-up (mean age: 12.9 ± 0.9). Parents and teachers completed questionnaires on executive functions, theory of mind (ToM), emotional/behavioral difficulties (EBD), and learning style at both time points.. RESULTS:Overall different developmental trajectories for the two groups were found. In general, deficits in metacognition processes, ToM skills, EBD, and learning abilities were more pronounced in the ASD+ group. Over time, the ASD+ADHD group, but not the ASD-ADHD, tended to improve in EBD and metacognition but their level of development continued to be lower compared with ASD+ADHD. EBD in childhood were significant predictors of autism core symptoms of adolescents. CONCLUSIONS:Our findings highlight the importance of an early identification of comorbid ADHD symptoms in ASD to offer treatment strategies based on specific developmental trajectories.
PMID: 35441444
ISSN: 1475-357x
CID: 5218292
Familial clustering of psychiatric disorders and low IQ
BACKGROUND:Although the ICD and DSM differentiate between different psychiatric disorders, these often share symptoms, risk factors, and treatments. This was a population-based, case-control, sibling study examining familial clustering of all psychiatric disorders and low IQ, using data from the Israel Draft-Board Registry on all Jewish adolescents assessed between 1998 and 2014. METHODS:= 931). Each case was matched with 10 age-matched controls selected at random from the Draft-Board Registry, with replacement, and for each case and matched controls, we ascertained all full siblings. The main outcome measure was the relative recurrence risk (RRR) of the sibling of a case having the same (within-disorder RRR) or a different (across-disorder RRR) disorder. RESULTS:Within-disorder RRRs were increased for all diagnostic categories, ranging from 11.53 [95% confidence interval (CI): 9.23-14.40] for ASD to 2.93 (95% CI: 2.80-3.07) for personality disorders. The median across-disorder RRR between any pair of psychiatric disorders was 2.16 (95% CI: 1.45-2.43); the median RRR between low IQ and any psychiatric disorder was 1.37 (95% CI: 0.93-1.98). There was no consistent increase in across-disorder RRRs between the non-CNS disorders and psychiatric disorders and/or low IQ. CONCLUSION/CONCLUSIONS:These large population-based study findings suggest shared etiologies among most psychiatric disorders, and low IQ.
PMID: 34911593
ISSN: 1469-8978
CID: 5651532
Technology-Enhanced Behavioral Parent Training: The Relationship Between Technology Use and Efficiency of Service Delivery
Behavior disorders (BDs) are common and, without treatment, can have long-term impacts on child and family health. Behavioral Parent Training (BPT) is the standard of care intervention for early-onset BDs; however, structural socioeconomic barriers hinder treatment outcomes for low-income families. While digital technologies have been proposed as a mechanism to improve engagement in BPT, research exploring the relationship between technology use and outcomes is lacking. Thus, this study with 34 low-income families examined the impact of parents' use of adjunctive mobile app components on treatment efficiency in one technology-enhanced (TE-) BPT program, Helping the Noncompliant Child (HNC). While parent use of the TE-HNC app and its impact on the efficiency of service delivery varied across specific components, increased app use significantly reduced the number of weeks required for families to achieve skill mastery. Implications for the design and development of behavior intervention technologies in general, as well as for BPT in particular, are discussed.
PMID: 37086169
ISSN: 1552-4167
CID: 5466442
Group trauma focused cognitive behavior therapy for parents of premature infants compared to individual therapy intervention
BACKGROUND:The current study compares results of a group-based intervention developed to reduce symptoms of posttraumatic stress, depression, and anxiety in parents of premature infants with a prior study using an individual version of the treatment manual. METHODS:26 mothers of preterm infants (25-34 weeks' gestational age; >600 g) received 6 sessions of trauma-focused cognitive behavior therapy (CBT). Outcomes were compared with those of a previously published RCT, which tested an individual therapy based on the same model in a group of 62 mothers. Results were also compared across in-person and telehealth treatment. RESULTS:From baseline to follow up, the individual intervention showed greater improvement in trauma symptoms assessed with the Davidson Trauma Scale (d = 0.48, p = 0.016), although both conditions showed clinically significant improvement. Similar patterns were found for maternal depression and anxiety. In-person treatment was found to be superior to telehealth treatment administered during the COVID-19 pandemic, although the difference was not significant. CONCLUSIONS:Group-based trauma focused CBT is an effective treatment modality for parents of premature infants with symptoms of psychological distress but not as effective as individual therapy using the same treatment model.
PMID: 37119727
ISSN: 1872-6232
CID: 5465752
Interstitial lung disease diagnosis and prognosis using an AI system integrating longitudinal data
For accurate diagnosis of interstitial lung disease (ILD), a consensus of radiologic, pathological, and clinical findings is vital. Management of ILD also requires thorough follow-up with computed tomography (CT) studies and lung function tests to assess disease progression, severity, and response to treatment. However, accurate classification of ILD subtypes can be challenging, especially for those not accustomed to reading chest CTs regularly. Dynamic models to predict patient survival rates based on longitudinal data are challenging to create due to disease complexity, variation, and irregular visit intervals. Here, we utilize RadImageNet pretrained models to diagnose five types of ILD with multimodal data and a transformer model to determine a patient's 3-year survival rate. When clinical history and associated CT scans are available, the proposed deep learning system can help clinicians diagnose and classify ILD patients and, importantly, dynamically predict disease progression and prognosis.
PMCID:10119160
PMID: 37080956
ISSN: 2041-1723
CID: 5666032
Cannabidiol modulates excitatory-inhibitory ratio to counter hippocampal hyperactivity
Cannabidiol (CBD), a non-euphoric component of cannabis, reduces seizures in multiple forms of pediatric epilepsies, but the mechanism(s) of anti-seizure action remain unclear. In one leading model, CBD acts at glutamatergic axon terminals, blocking the pro-excitatory actions of an endogenous membrane phospholipid, lysophosphatidylinositol (LPI), at the G-protein-coupled receptor GPR55. However, the impact of LPI-GPR55 signaling at inhibitory synapses and in epileptogenesis remains underexplored. We found that LPI transiently increased hippocampal CA3-CA1 excitatory presynaptic release probability and evoked synaptic strength in WT mice, while attenuating inhibitory postsynaptic strength by decreasing GABAARγ2 and gephyrin puncta. LPI effects at excitatory and inhibitory synapses were eliminated by CBD pre-treatment and absent after GPR55 deletion. Acute pentylenetrazole-induced seizures elevated GPR55 and LPI levels, and chronic lithium-pilocarpine-induced epileptogenesis potentiated LPI's pro-excitatory effects. We propose that CBD exerts potential anti-seizure effects by blocking LPI's synaptic effects and dampening hyperexcitability.
PMID: 36787750
ISSN: 1097-4199
CID: 5432102
An Approach to Address the Need for Adolescent Opioid Stabilization and Treatment
PMID: 37115154
ISSN: 2155-7780
CID: 5886842
What do Parents Want?: Comparing Behavioral Parent Training to a Health Maintenance Model
ORIGINAL:0017072
ISSN: 0731-7107
CID: 5573292
Association Between Mental Health and Reproductive System Disorders in Women: A Systematic Review and Meta-analysis
IMPORTANCE:Reproductive system and mental health disorders are commonly comorbid in women. Although the causes of this overlap remain elusive, evidence suggests potential shared environmental and genetic factors associated with risk. OBJECTIVE:To investigate the comorbidity between psychiatric and reproductive system disorders, both as broad diagnostic categories and among specific pairs of diagnoses. DATA SOURCE:PubMed. STUDY SELECTION:Observational studies published between January 1980 and December 2019 assessing prevalence of psychiatric disorders in women with reproductive system disorders and prevalence of reproductive system disorders in women with psychiatric disorders were included. The study did not include psychiatric and reproductive disorders triggered by life events (eg, trauma, infection, surgery) to address potential confounding. DATA EXTRACTION AND SYNTHESIS:A search yielded 1197 records, of which 50 met the inclusion criteria for the qualitative and 31 for the quantitative synthesis in our study. A random-effects model was used for data synthesis and Egger test and I2 to assess study bias and heterogeneity. Data were analyzed from January to December 2022. This study followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline. MAIN OUTCOMES AND MEASURES:Psychiatric and reproductive system disorders. RESULTS:A total of 1197 records were identified, of which 50 met the inclusion criteria for qualitative and 31 for quantitative synthesis. Diagnosis of a reproductive system disorder was associated with a 2- to 3-fold increased odds of having a psychiatric disorder (lower bound odds ratio [OR], 2.00; 95% CI, 1.41-2.83; upper bound OR; 2.88; 95% CI, 2.21-3.76). The analysis focused on specific diagnoses described in the literature and found that polycystic ovary syndrome was associated with increased odds of depression (population-based studies OR, 1.71; 95% CI, 1.19-2.45; clinical studies OR, 2.58; 95% CI, 1.57-4.23) and anxiety (population-based studies OR, 1.69; 95% CI, 1.36-2.10; clinical studies OR, 2.85; 95% CI, 1.98-4.09). Chronic pelvic pain was also associated with both depression (OR, 3.91; 95% CI, 1.81-8.46) and anxiety (OR, 2.33; 95% CI, 1.33-4.08). Few studies investigated risk of other reproductive system disorders in women with psychiatric disorders, or reverse associations (risk of reproductive system disorder among women with a psychiatric diagnosis). CONCLUSIONS AND RELEVANCE:In this systematic review and meta-analysis, a high rate of reported co-occurrence between psychiatric and reproductive disorders overall was observed. However, data for many disorder pairs were limited. The available literature focused overwhelmingly on affective disorders in polycystic ovary syndrome, overlooking a substantial portion of disease overlap. As such, the associations between the majority of mental health outcomes and conditions of the female reproductive system are largely unknown.
PMCID:10114079
PMID: 37071426
ISSN: 2574-3805
CID: 5606462
Validation of the Collaborative Outcomes study on Health and Functioning during Infection Times (COH-FIT) questionnaire for adults
BACKGROUND:The Collaborative Outcome study on Health and Functioning during Infection Times (COH-FIT; www.coh-fit.com) is an anonymous and global online survey measuring health and functioning during the COVID-19 pandemic. The aim of this study was to test concurrently the validity of COH-FIT items and the internal validity of the co-primary outcome, a composite psychopathology "P-score". METHODS:The COH-FIT survey has been translated into 30 languages (two blind forward-translations, consensus, one independent English back-translation, final harmonization). To measure mental health, 1-4 items ("COH-FIT items") were extracted from validated questionnaires (e.g. Patient Health Questionnaire 9). COH-FIT items measured anxiety, depressive, post-traumatic, obsessive-compulsive, bipolar and psychotic symptoms, as well as stress, sleep and concentration. COH-FIT Items which correlated r ≥ 0.5 with validated companion questionnaires, were initially retained. A P-score factor structure was then identified from these items using exploratory factor analysis (EFA) and confirmatory factor analyses (CFA) on data split into training and validation sets. Consistency of results across languages, gender and age was assessed. RESULTS:From >150,000 adult responses by May 6th, 2022, a subset of 22,456 completed both COH-FIT items and validated questionnaires. Concurrent validity was consistently demonstrated across different languages for COH-FIT items. CFA confirmed EFA results of five first-order factors (anxiety, depression, post-traumatic, psychotic, psychophysiologic symptoms) and revealed a single second-order factor P-score, with high internal reliability (ω = 0.95). Factor structure was consistent across age and sex. CONCLUSIONS:COH-FIT is a valid instrument to globally measure mental health during infection times. The P-score is a valid measure of multidimensional mental health.
PMCID:9794522
PMID: 36586617
ISSN: 1573-2517
CID: 5442082
