Psychometric properties of the Chinese version of the Quick Delay Questionnaire (C-QDQ) and ecological characteristics of reward-delay impulsivity of adults with ADHD.

BACKGROUND: The Quick Delay Questionnaire (QDQ) is a short questionnaire designed to assess delay-related difficulties in adults. This study aimed to examine the reliability and validity of the Chinese version of the QDQ (C-QDQ) in Chinese adults, and explore the ecological characteristics of delay-related impulsivity in Chinese adults with attention-deficit/hyperactivity disorder (ADHD). METHODS: Data was collected from 302 adults, including ADHD (n = 209) and healthy controls (HCs) (n = 93). All participants completed the C-QDQ. The convergent validity, internal consistency, retest reliability and confirmatory factor analysis (CFA) of the C-QDQ were analyzed. The correlations between C-QDQ and two laboratory measures of delay-related difficulties and Barratt Impulsiveness Scale-11 (BIS-11), the comparison of C-QDQ scores between ADHD subgroups and HCs were also analyzed. RESULTS: The Cronbach's α of C-QDQ was between 0.83 and 0.89. The intraclass correlation coefficient of C-QDQ was between 0.80 and 0.83. The results of CFA of C-QDQ favoured the original two-factor model (delay aversion and delay discounting). Significant positive associations were found between C-QDQ scores and BIS-11 total score and performance on the laboratory measure of delay-related difficulties. Participants with ADHD had higher C-QDQ scores than HCs, and female ADHD reported higher scores on delay discounting subscale than male. ADHD-combined type (ADHD-C) reported higher scores on delay aversion subscale than ADHD-inattention type (ADHD-I). CONCLUSION: The C-QDQ is a valid and reliable tool to measure delay-related responses that appears to have clinical utility. It can present the delay-related impulsivity of patients with ADHD. Compared to HCs, the level of reward-delay impulsivity was higher in ADHD.

Comparison of self-esteem and quality of life in 8-12-year-old children with ADHD with and without learning disorders.

BACKGROUND: Attention Deficit/Hyperactivity Disorder (ADHD) is one of the most common disorders in school-aged children. Learning disorder (LD) is also one of the most important psychiatric disorders in children, which can often be associated with ADHD. In this study, we sought to compare self-esteem and quality of life in 8 to 12-year-old children with attention deficit/hyperactivity disorder with and without co-occurring learning disorders in order to emphasize the importance of attention and diagnosis in children with ADHD. METHOD: Among the 8- to 12-year-old outpatients referred to the child and adolescent psychiatry clinic of Omid Babol Clinic, 120 children aged 8 to 12 years with attention deficit/hyperactivity disorder whose disease was diagnosed by a child and adolescent psychiatry subspecialist. Among the tools used to collect information was the Colorado Learning Difficulties Questionnaire by Wilcott et al. (CLDQ), five-scale self-esteem test of Pepe et al. (1989) for children and quality-of-life questionnaire for 8-12-year-old children (PedsQL). RESULTS: This study investigated self-esteem and quality of life in children with ADHD (n = 120, 51.7% boys). Children with ADHD and learning disabilities reported significantly lower self-esteem and quality of life compared to those with ADHD alone. CONCLUSION: Considering the relatively high probability of co-occurrence of ADHD and learning disorders, if one of them is diagnosed in a child, it is possible to look for other disorders in the child in order to avoid the more severe negative effects that this co-occurrence can have on the child by diagnosing it as soon as possible.

Attention-deficit Hyperactivity Disorder and Autism Spectrum Disorder: Towards Better Diagnosis and Management.

Background: Attention-deficit hyperactivity disorder (ADHA) is one of the most common comorbid disorders of autism spectrum disorder (ASD) that can accompany autism, triggered by it, or be a consequence of it. Objective: This review explored the prevalence of the comorbidity of both disorders, neurobiological background, symptoms, latest assessment methods, and therapeutic approaches. Results and Discussion: It concluded that effective assessment, diagnosis and management of ADHD in ASD children and adults is essential for this group of patients to thrive and live a good quality of life. Further research is recommended to explore the most effective intervention for such important members of our society. Conclusion: More studies are needed to understand the mechanisms underlying these comorbidities, and to prevent the misdiagnosis and mismanagement of these disorders. Also, to develop up to date personalized therapeutic plans for such children.

Cortico-striatal differences in the epigenome in attention-deficit/ hyperactivity disorder.

While epigenetic modifications have been implicated in ADHD through studies of peripheral tissue, to date there has been no examination of the epigenome of the brain in the disorder. To address this gap, we mapped the methylome of the caudate nucleus and anterior cingulate cortex in post-mortem tissue from fifty-eight individuals with or without ADHD. While no single probe showed adjusted significance in differential methylation, several differentially methylated regions emerged. These regions implicated genes involved in developmental processes including neurogenesis and the differentiation of oligodendrocytes and glial cells. We demonstrate a significant association between differentially methylated genes in the caudate and genes implicated by GWAS not only in ADHD but also in autistic spectrum, obsessive compulsive and bipolar affective disorders through GWAS. Using transcriptomic data available on the same subjects, we found modest correlations between the methylation and expression of genes. In conclusion, this study of the cortico-striatal methylome points to gene and gene pathways involved in neurodevelopment, consistent with studies of common and rare genetic variation, as well as the post-mortem transcriptome in ADHD.

Acoustic and Text Features Analysis for Adult ADHD Screening: A Data-Driven Approach Utilizing DIVA Interview.

Attention Deficit Hyperactivity Disorder (ADHD) is a neurodevelopmental disorder commonly seen in childhood that leads to behavioural changes in social development and communication patterns, often continues into undiagnosed adulthood due to a global shortage of psychiatrists, resulting in delayed diagnoses with lasting consequences on individual's well-being and the societal impact. Recently, machine learning methodologies have been incorporated into healthcare systems to facilitate the diagnosis and enhance the potential prediction of treatment outcomes for mental health conditions. In ADHD detection, the previous research focused on utilizing functional magnetic resonance imaging (fMRI) or Electroencephalography (EEG) signals, which require costly equipment and trained personnel for data collection. In recent years, speech and text modalities have garnered increasing attention due to their cost-effectiveness and non-wearable sensing in data collection. In this research, conducted in collaboration with the Cumbria, Northumberland, Tyne and Wear NHS Foundation Trust, we gathered audio data from both ADHD patients and normal controls based on the clinically popular Diagnostic Interview for ADHD in adults (DIVA). Subsequently, we transformed the speech data into text modalities through the utilization of the Google Cloud Speech API. We extracted both acoustic and text features from the data, encompassing traditional acoustic features (e.g., MFCC), specialized feature sets (e.g., eGeMAPS), as well as deep-learned linguistic and semantic features derived from pre-trained deep learning models. These features are employed in conjunction with a support vector machine for ADHD classification, yielding promising outcomes in the utilization of audio and text data for effective adult ADHD screening. Clinical impact: This research introduces a transformative approach in ADHD diagnosis, employing speech and text analysis to facilitate early and more accessible detection, particularly beneficial in areas with limited psychiatric resources. Clinical and Translational Impact Statement: The successful application of machine learning techniques in analyzing audio and text data for ADHD screening represents a significant advancement in mental health diagnostics, paving the way for its integration into clinical settings and potentially improving patient outcomes on a broader scale.

Complex ADHD Challenging Case: When Simple Becomes Complex: Managing Clinician Bias and Navigating Challenging Family Dynamics in a 6-Year-Old Girl with ADHD and Developmental Delays.

CASE: Layla is a 6.7-year-old girl diagnosed with attention-deficit/hyperactivity disorder (ADHD)-predominantly hyperactive/impulsive type-delayed adaptive skills, enuresis, unspecified malnutrition, and feeding difficulties. She presented to developmental-behavioral pediatrics (DBP) in January 2022 due to caregiver concerns for autism spectrum disorder (ASD).Layla lives in a polyamorous family with her biological mother and father, mother's partner whom Layla refers to as her uncle, and her 2 half-siblings. There is a maternal history of special education services, schizoaffective disorder, bipolar disorder, multiple sclerosis, Wolff-Parkinson-White syndrome, and ADHD. Layla's father is a veteran diagnosed with post-traumatic stress disorder. Layla's siblings, aged 5 and 9 years, have established diagnoses of ADHD, ASD, global developmental delays, behavioral concerns, and poor sleep. There is a history of adverse childhood experiences, including parental mental health, poverty, and involvement with child protective services. Acknowledgement and inclusion of all members of this diverse family structure, as well as consistent validation from the DBP and social worker, allowed a strong treatment alliance to form and the mother continued to contact the DBP clinic, even for those questions related to other specialties. A social worker received weekly calls from the mother sharing grievances related to feeling misunderstood and spoke about the assumptions she felt external providers made about her family, culture, and parenting styles. For example, she recalls the pediatrician commenting about their family structure being "confusing for the children" and describing their home as "chaotic," assumptions that may not have been made of nuclear family structures. Behavioral therapies were a repeated recommendation, but the mother verbalized not being interested in these options as she had participated in parent management training several years earlier and felt that the strategies taught were not applicable to her unique family structure, to which the clinician replied, "this is the standard recommendation for all children this age with disruptive behaviors." Although the mother was initially hesitant to trial medications, she eventually agreed that Layla's symptoms were negatively affecting her school performance, and the DBP initiated a stimulant medication.Layla's initial evaluation included a developmental history, behavioral observations, and standardized testing. The results from developmental testing demonstrated age equivalents between 4 and 6 years across gross motor, adaptive, visual motor, and speech-language domains.On observation, Layla was extremely active. During the visit, she walked over to her mother, made eye contact, and showed her the picture that she had drawn. She engaged in imaginary play, reciprocal conversation, and responded to social bids. The mother felt strongly that Layla had ASD and reported symptoms such as motor stereotypies (hand flapping), covering ears with certain noises/sounds, and rigidity when it came to things being a certain way or a certain color. These behaviors did not occur in the initial or subsequent clinic visits with DBP, her general pediatrician, or during other outside evaluations the mother pursued. The DBP felt strongly that Layla was mimicking her siblings' symptoms and provided ongoing education regarding ADHD symptomology.In terms of behavior management, the mother did not attempt to redirect Layla's behaviors during the initial clinic visit and in subsequent visits, and both adult men yelled loudly, clapped, and hit their hands on the table as a form of redirection. The mother continued to voice her diagnostic disagreement with the DBP and the pediatrician and insisted that Layla met the criteria for ASD. When the mother reviewed the report, a statement insinuating that Layla's behaviors were "understandable given parental inconsistency and complicated family structure" upset her.What factors would you consider when thinking about caregiver disagreement with the diagnosis and treatment plan? Does diagnostic overshadowing apply here?

[Attention deficit disorder with/without hyperactivity and obesity in adolescence]. / Trouble du déficit de l'attention avec/ou sans hyperactivité et obésité à l'adolescence.

Attention-Deficit Hyperactivity Disorder (ADHD) is a prevalent neuropsychiatric disorder associated with significant impairment and distress throughout the lifespan. ADHD is also frequently associated with obesity. Epidemiological studies that have strongly suggested a causal relationship between ADHD and obesity, underscoring the importance of clarifying the underlying pathophysiological mechanisms. An important focus has been the link between ADHD-related impulsivity and obesity, potentially mediated by impulsive eating behavior. Studies suggest that targeting the impulsive dimension of ADHD significantly reduces the risk of obesity. ADHD detection and treatment in children, adolescents and adults is important in terms of prevention and managing of obesity across the lifespan.

Le trouble déficitaire de l'attention avec hyperactivité (TDAH) est un trouble neuropsychiatrique prévalent lié à une déficience et à une détresse significative tout au long de la vie. Il est également fréquemment associé à l'obésité, des études épidémiologiques ayant prouvé une relation de cause à effet. Le lien entre l'impulsivité liée au TDAH et l'obésité a fait l'objet d'une attention particulière. Des études suggèrent que le fait de cibler la dimension impulsive du TDAH devrait réduire de manière significative le risque d'obésité. La détection et le traitement du TDAH chez les adolescents souffrant d'obésité sont importants pour la prévention et la prise en charge de cette pathologie souvent réfractaire aux traitements habituels de l'obésité.

Predictors of health-related quality of life for children with neurodevelopmental conditions.

Neurodevelopmental conditions can be associated with decreased health-related quality of life; however, the predictors of these outcomes remain largely unknown. We characterized the predictors of health-related quality of life (HRQoL) in a sample of neurodiverse children and youth. We used a cross-sectional subsample from the Province of Ontario Neurodevelopmental Disorders Network (POND) consisting of those children and young people in the POND dataset with complete study data (total n = 615; 31% female; age: 11.28 years ± 2.84 years). Using a structural equation model, we investigated the effects of demographics (age, sex, socioeconomic status), core features (Social Communication Questionnaire, Toronto Obsessive Compulsive Scale, Strengths and Weaknesses of attention deficit/hyperactivity disorder (ADHD)-symptoms and Normal Behavior), co-occurring symptoms (Child Behaviour Checklist), and adaptive functioning (Adaptive Behaviour Assessment System) on HRQoL (KINDL). A total of 615 participants had complete data for this study (autism = 135, ADHD = 273, subthreshold ADHD = 7, obsessive-compulsive disorder (OCD) = 38, sub-threshold OCD = 1, neurotypical = 161). Of these participants, 190 (31%) identified as female, and 425 (69%) identified as male. The mean age was 11.28 years ± 2.84 years. Health-related quality of life was negatively associated with co-occurring symptoms (B = - 0.6, SE = 0.20, CI (- 0.95, - 0.19), p = 0.004)) and age (B = - 0.1, SE = 0.04, CI (- 0.19, - 0.01), p = 0.037). Fewer co-occurring symptoms were associated with higher socioeconomic status (B = - 0.5, SE = - 0.05, CI (- 0.58, - 0.37), p < 0.001). This study used a cross-sectional design. Given that one's experiences, needs, supports, and environment and thus HrQoL may change significantly over the lifespan and a longitudinal analysis of predictors is needed to capture these changes. Future studies with more diverse participant groups are needed. These results demonstrate the importance of behavioural and sociodemographic characteristics on health-related quality of life across neurodevelopmental conditions.

Attention-Deficit/Hyperactivity Disorder in Children Ages 5-17 Years: United States, 2020-2022.

Attention-deficit/hyperactivity disorder (ADHD) is one of the most common mental disorders of childhood (1). It is characterized by a pattern of inattention, impulsivity, or hyperactivity that leads to functional impairment experienced in multiple settings (2). Symptoms of ADHD occur during childhood, and many children continue to have symptoms and impairment through adolescence and into adulthood (3). This report describes the percentage of children and adolescents ages 5-17 years who had ever been diagnosed with ADHD from the 2020-2022 National Health Interview Survey (NHIS).

Treatments for ADHD in Children and Adolescents: A Systematic Review.

CONTEXT: Effective treatment of attention-deficit/hyperactivity disorder (ADHD) is essential to improving youth outcomes. OBJECTIVES: This systematic review provides an overview of the available treatment options. DATA SOURCES: We identified controlled treatment evaluations in 12 databases published from 1980 to June 2023; treatments were not restricted by intervention content. STUDY SELECTION: Studies in children and adolescents with clinically diagnosed ADHD, reporting patient health and psychosocial outcomes, were eligible. Publications were screened by trained reviewers, supported by machine learning. DATA EXTRACTION: Data were abstracted and critically appraised by 1 reviewer and checked by a methodologist. Data were pooled using random-effects models. Strength of evidence and applicability assessments followed Evidence-based Practice Center standards. RESULTS: In total, 312 studies reported in 540 publications were included. We grouped evidence for medication, psychosocial interventions, parent support, nutrition and supplements, neurofeedback, neurostimulation, physical exercise, complementary medicine, school interventions, and provider approaches. Several treatments improved ADHD symptoms. Medications had the strongest evidence base for improving outcomes, including disruptive behaviors and broadband measures, but were associated with adverse events. LIMITATIONS: We found limited evidence of studies comparing alternative treatments directly and indirect analyses identified few systematic differences across stimulants and nonstimulants. Identified combination of medication with youth-directed psychosocial interventions did not systematically produce better results than monotherapy, though few combinations have been evaluated. CONCLUSIONS: A growing number of treatments are available that improve ADHD symptoms and other outcomes, in particular for school-aged youth. Medication therapies remain important treatment options but are associated with adverse events.

Tools for the Diagnosis of ADHD in Children and Adolescents: A Systematic Review.

CONTEXT: Correct diagnosis is essential for the appropriate clinical management of attention-deficit/hyperactivity disorder (ADHD) in children and adolescents. OBJECTIVE: This systematic review provides an overview of the available diagnostic tools. DATA SOURCES: We identified diagnostic accuracy studies in 12 databases published from 1980 through June 2023. STUDY SELECTION: Any ADHD tool evaluation for the diagnosis of ADHD, requiring a reference standard of a clinical diagnosis by a mental health specialist. DATA EXTRACTION: Data were abstracted and critically appraised by 1 reviewer and checked by a methodologist. Strength of evidence and applicability assessments followed Evidence-based Practice Center standards. RESULTS: In total, 231 studies met eligibility criteria. Studies evaluated parental ratings, teacher ratings, youth self-reports, clinician tools, neuropsychological tests, biospecimen, EEG, and neuroimaging. Multiple tools showed promising diagnostic performance, but estimates varied considerably across studies, with a generally low strength of evidence. Performance depended on whether ADHD youth were being differentiated from neurotypically developing children or from clinically referred children. LIMITATIONS: Studies used different components of available tools and did not report sufficient data for meta-analytic models. CONCLUSIONS: A valid and reliable diagnosis of ADHD requires the judgment of a clinician who is experienced in the evaluation of youth with and without ADHD, along with the aid of standardized rating scales and input from multiple informants across multiple settings, including parents, teachers, and youth themselves.

Attention deficit and hyperactivity disorder and use of psychostimulants in Aotearoa, New Zealand: exploring the treatment gap.

Introduction Attention deficit and hyperactivity disorder (ADHD) is a common neurodevelopmental disorder affecting about 7% of those aged up to 12 years, 5% of teenagers and 3% of adults. It is associated with poor academic performance, substance abuse, criminality, poor social functioning and other negative outcomes. Psychotherapeutic treatment is moderately successful, whereas pharmacotherapy with stimulant medication is more efficacious and is recommended in many international guidelines. Anecdotal evidence suggests underuse of these medications in Aotearoa, New Zealand. Aim To estimate how many patients with ADHD are prescribed psychostimulants in Aotearoa, New Zealand. Methods National prescribing data for dexamphetamine and methylphenidate in 2022 were obtained and matched against estimated prevalence of ADHD by age. Results There is a significant treatment gap for which inability to access first-line medication is likely to be the predominant explanation. Discussion The data suggest failure of our health system to provide reasonable health care for a significant number of people with ADHD, and results in inequity in outcomes. New approaches are needed that will increase access to first-line medication, yet maintain appropriateness of diagnosis and limit risk of medication diversion.

Suspected geriatric onset of attention-deficit/hyperactivity disorder in a patient with comorbid bipolar disorder.

BACKGROUND: An increasing number of adults over 60 years old are presenting with requests for treatment of attention-deficit/hyperactivity disorder (ADHD). However, the prevalence of ADHD in older adults in geriatrics is unknown. Further, comorbid bipolar disorder and adult ADHD are likely underrecognized with many patients only receiving treatment for one of these conditions. The occurrence of bipolar disorder with geriatric onset ADHD is unknown. CASE PRESENTATION: A 64-year-old Hispanic woman with a psychiatric history of bipolar I disorder (diagnosed in early adulthood) was diagnosed with ADHD suspected of geriatric onset, and able to be successfully managed on concurrent mood stabilizers and psychostimulant medication. CONCLUSIONS: The findings of this case report emphasize the importance of appropriately recognizing and treating comorbid ADHD and bipolar disorder in any age group, including the geriatric population for which this occurrence appears to be very rare. Additionally, this case report demonstrates the safe utilization of psychostimulant medications in a geriatric patient with bipolar disorder without inducing a manic episode or other significant adverse reactions.

[Parental strain, inattention/hyperactivity symptoms and parent-reported ADHD in children and adolescents: results of the KiGGS study]. / Elterliches Belastungserleben, Unaufmerksamkeits­/Hyperaktivitätssymptome und elternberichtete ADHS bei Kindern und Jugendlichen: Ergebnisse aus der KiGGS-Studie.

BACKGROUND: A child's attention deficit hyperactivity disorder (ADHD) is associated with strain for the parents. In turn, psychosocial parental strain is associated with higher probabilities for the occurrence of inattention/hyperactivity symptoms (IHS) in their children. The aim of this paper is to assess the association between parental strain, IHS, and a parent-reported ADHD diagnosis of the children. METHODOLOGY: Based on data from n = 4596 participants of the KiGGS cohort (wave 2: 2014-2017), the type and extent of parental strain was set in relation to IHS and an ADHD diagnosis of the child in cross-sectional analysis. Frequencies, means, beta coefficients, and odds ratios adjusted for sex, age, socioeconomic status, and migration background are reported. RESULTS: In individual consideration, a greater number of parental strains were associated with IHS than with an ADHD diagnosis. In a multivariate analysis, financial worries and parenting problems/conflicts with the children were significant predictors of IHS and an ADHD diagnosis, respectively. In addition, four or more types of parental strain were associated with a higher likelihood of both IHS and an ADHD diagnosis. DISCUSSION: Financial and child-rearing strain are relevant to parents of children with IHS and an ADHD diagnosis. Interrelationships between parental stress and a child's IHS or an ADHD diagnosis can be assumed. To relieve their burden, prevention can either aim at improving the situation of ADHD-affected families or at improving the family's handling of the child's ADHD.

Quantum dots-based multiplexed immunosensors for accurate diagnosis of attention deficit hyperactivity disorder in childhood.

Attention-deficit/hyperactivity disorder (ADHD) lacks objective diagnostic markers. In clinical settings, reliance on subjective judgments can often lead to missed or misdiagnoses. Some biomarkers have been reported to be associated with ADHD, but using one biomarker alone is not enough. To address this, we developed a fluorescent immunoassay platform based on quantum dots (QDs) to detect assay capable of detecting and quantifying multiple biomarkers simultaneously. Specifically, we were able to the simultaneously detect brain-derived neurotrophic factor, tumor necrosis factor-alpha, interleukin-6 and ferritin using different emission spectra QDs. The QD-based multiplexed immunoassay displayed a low detection of limit in the range of 0.021-0.068 pg/mL, and the assay showed satisfactory reproducibility and precision. We then quantified all four targets from ADHD patient's plasma samples, where it showed remarkable consistency with clinical test for ADHD diagnosis. This methodological comparison supports the diagnosis of ADHD using our assay.

The prevalence of cannabis use disorder in attention-deficit hyperactivity disorder: A clinical epidemiological meta-analysis.

Studies have shown that individuals with attention-deficit hyperactivity disorder (ADHD) pose an increased risk for developing substance use disorders. Increased cannabis product accessibility and recent legislative changes have led to increased cannabis consumption, thereby increasing the risk of cannabis use disorder (CUD). The present meta-analysis explored the lifetime and current prevalence of CUD in ADHD. A systematic review was conducted using the following databases: PubMed, PsycINFO and Web of Science. A total of 14 articles were included and used to estimate the aggregate lifetime and current prevalence of CUD in ADHD alongside risk ratios comparing increased risk of CUD in ADHD versus control samples. Mixed and random-effects models indicated that lifetime and current prevalence rates of CUD in ADHD populations were 26.9% and 19.2%, respectively (although prediction intervals ranged from 12.4% to 48.8% and 5.5%-39.1%, respectively). Analysis of the risk ratios indicated that those with ADHD were at 2.85- and 2.91-times greater risk of a lifetime or current diagnosis of CUD, respectively, than those in the general population. Our findings support the need for additional research on the prevalence of CUD in those with ADHD, as well as the inclusion of CUD screening in the treatment of ADHD.

Guanfacine for the Treatment of Attention-Deficit/Hyperactivity Disorder in Children and Adolescents with Down Syndrome: A Retrospective Chart Review.

Study Design: Retrospective case series. Objectives: The objective of this study was to provide naturalistic data on the use of guanfacine for the treatment of attention-deficit/hyperactivity disorder (ADHD) in a clinically referred sample of youth with Down syndrome (DS). Methods: The medical records of children and adolescents with DS who received guanfacine for the treatment of ADHD from a multidisciplinary neurodevelopmental disorder clinic between September 1, 2011, and September 10, 2021, were reviewed. Demographic and clinical characteristics, guanfacine dose and treatment duration, and adverse effects were recorded. Clinical Global Impression Scale (CGI) scores for ADHD symptom severity (S) and improvement (I) were retrospectively assigned by a child and adolescent psychiatrist based on review of the clinic notes. Response to guanfacine was defined as completion of at least 12 weeks of treatment and a Clinical Global Impression Improvement subscale rating ≤2 (1 = "very much improved" or 2 = "much improved"). Results: Twenty-one patients were eligible for inclusion, of whom 17 (81%) completed at least 12 weeks of guanfacine. Ten of the 21 patients (48%; 95% confidence interval [CI]: 28%-68%) responded to treatment. The median time on guanfacine treatment covered by the clinic notes was 50.4 weeks, with a range of 0.3 weeks to 7.5 years. Thirteen patients (62%) remained on guanfacine at the time of their most recent clinic note. Nine patients had adverse events documented in their clinic notes (43%; 95% CI: 24%-63%), most commonly sleepiness (n = 7) and constipation (n = 2). Conclusion: About half of patients with DS responded to guanfacine for the treatment of ADHD and many tolerated long-term use. Study limitations primarily relate to the retrospective nature of the study and small sample size.

Longitudinal Associations Between Symptoms of ADHD and Life Success: From Emerging Adulthood to Early Middle Adulthood.

OBJECTIVE: To expand on current adult ADHD literature by investigating the stability of ADHD symptomatology (i.e., inattention and hyperactivity-impulsivity) across a 15-year period (from emerging adulthood to early middle adulthood) and the relative contributions of ADHD symptomatology to life success. METHOD: A sample of 320 post-secondary students was initially assessed for ADHD symptomatology using the Conners' Adult ADHD Rating Scale (CAARS). Fifteen years later, participants were re-assessed using the CAARS and several measures of life success (e.g., relationship satisfaction, career satisfaction, and stress levels). RESULTS: Inattention and hyperactivity-impulsivity symptoms showed strong stability across the 15-year period. Additionally, inattention symptoms during emerging adulthood and early middle adulthood were consistently associated with poorer life success (i.e., lower relationship and career satisfaction), particularly for men. Associations for hyperactivity-impulsivity symptoms were less consistent. CONCLUSION: ADHD symptomatology can be conceptualized as a stable, dimensional trait across adulthood, with important impacts on life success.

A Quality Improvement Initiative for Detection of Attention-Deficit/Hyperactivity Disorder in an Urban, Academic Safety Net Hospital.

OBJECTIVE: Improve detection of Attention Deficit/Hyperactivity Disorder (ADHD) in a safety net, hospital-based, academic pediatric practice by optimizing screening with the Pediatric Symptom Checklist attention score (PSC-AS) and further evaluation with the Vanderbilt ADHD Diagnostic Rating Scale (VADRS). METHODS: We implemented a multi-component intervention by (1) optimizing electronic medical record (EMR) features; (2) adjusting clinic operational workflow; and (3) creating a decision-making algorithm for pediatric primary care clinicians (PPCCs). We extracted 4 outcomes manually from the EMR (pediatrician acknowledgment of a positive PSC-AS, documentation of a plan for further evaluation, distribution of VADRS, and completion of at least 1 VADRS). Outcomes were measured monthly in run charts compared to the pre-intervention control period, and implementation was optimized with Plan-Do-Study-Act cycles. RESULTS: PPCCs were significantly more likely to acknowledge a positive PSC-AS in the intervention versus control (65.3% vs 41.5%; p < 0.001), although this did not change documentation of a plan (70% vs 67.1%; p -value = 0.565). Significantly more children with a positive PSC-AS were distributed a parent or teacher VADRS in the intervention versus control (30.6% vs 17.7%; p -value = 0.0059), but the percentage of returned VADRS rating scales did not improve (12.9% vs 9.2%; p -value = 0.269). CONCLUSION: Our ADHD detection quality improvement initiative improved use of the PSC-AS to identify attention problems and distribution of VADRS diagnostic rating scales, but additional interventions are needed to improve the completion of ADHD evaluations in primary care to ensure that children are appropriately identified and offered evidence-based care.