Development of a Short Version of the ADHD Rating Scale-IV.es (sADHD-RS-IV.es).

OBJECTIVE: To develop a short version of the Spanish 18-item ADHD-Rating Scale IV.es (sADHD-RS-IV.es) to be used as a potential screening tool in pediatric population. METHODS: We recruited 652 subjects, ages 6 to 18 (mean ± SD = 11.14 ± 3.27): 518 patients with ADHD (per DSM-IV criteria); and 134 healthy controls. We performed a stepwise logistic regression to select the best subset of ADHD-RS-IV.es items to create a short-form. We calculated internal consistency reliability (Cronbach's and ordinal alphas) and diagnostic accuracy using receiver operating characteristic (ROC) curve. RESULTS: Six items were found to enter the stepwise analysis significantly. Internal consistency was high (Cronbach's alpha = 0.86; ordinal alpha = 0.90) and offered a good concordance with clinician diagnosis and a high discriminatory power (AUC = 0.98) with an optimal cut-off at a score of six points. CONCLUSIONS: This shorter questionnaire (six items) was able to discriminate ADHD cases from healthy controls.

The clinical presentation of major depressive disorder in youth with co-occurring obsessive-compulsive disorder.

BACKGROUND: Major depressive disorder (MDD) is common in youth and among the most frequent comorbid disorders in pediatric obsessive-compulsive disorder (OCD), but it is unclear whether the presence of OCD affects the symptom presentation of MDD in youth. METHODS: A sample of youth with OCD and MDD (n = 124) and a sample of youth with MDD but no OCD (n = 673) completed the Patient Health Questionnaire for Adolescents (PHQ-A). The overall and symptom-level presentation of MDD were examined using group comparisons and network analysis. RESULTS: Youth with MDD and OCD, compared to those with MDD and no OCD, had more severe MDD (Cohen's d = 0.39) and more reported moderate to severe depression (75 % vs 61 %). When accounting for demographic variables and the overall severity of MDD, those with comorbid OCD reported lower levels of anhedonia and more severe difficulties with psychomotor retardation/agitation. No significant differences in the interconnections among symptoms emerged. LIMITATIONS: Data were cross-sectional and self-reported, gold standard diagnostic tools were not used to assess OCD, and the sample size for the group with MDD and OCD was relatively small yielding low statistical power for network analysis. CONCLUSIONS: Youth with MDD and OCD have more severe MDD than those with MDD and no OCD and they experience more psychomotor issues and less anhedonia, which may relate to the behavioral activation characteristic of OCD.

Data-driven subgrouping of youths with depression reveals that resilience is associated with higher physical functioning despite high symptom burden in the Texas Youth Depression and Suicide Research Network (TX-YDSRN).

BACKGROUND: The Patient-Reported Outcomes Measurement Information System (PROMIS) measure, which assesses past week status of seven domains (physical function mobility, anxiety, depressive symptoms, fatigue, peer relationships, pain interference, and pain intensity), represents a new paradigm using patient-reported outcomes. We used a data-driven approach with PROMIS to identify subgroups of youths receiving depression treatment. METHODS: Youths (n = 721) enrolled in the Texas Youth Depression and Suicide Research Network who completed the PROMIS were analyzed. Latent class analyses (LCAs) identified subgroups and compared their baseline clinical/sociodemographic features. RESULTS: Compared to population norms, our sample had worse than average physical function, anxiety, depression, fatigue, and pain interference. Using LCA, four subgroups were identified: 1) lower symptom severity and higher physical functioning (14.6 %); 2) higher symptom burden, higher pain interference/intensity, and lower physical functioning (52.7 %); 3) higher symptom burden, higher pain interference/intensity, but with higher physical functioning (9.2 %); and 4) higher symptom burden, but lower physical functioning and pain interference/intensity (23.6 %). Group 3 demonstrated higher resilience than Group 2. In contrast, Group 2 had higher anxiety than Group 4. LIMITATIONS: Individuals may have different symptom profiles due to the observational nature of the study. Replication of these subgroups may be difficult, as future samples may differ in these characteristics. Further work may demonstrate the stability of these groups. CONCLUSIONS: A data-driven analysis identified a small but significant subgroup with high physical functioning despite high symptom burden and pain, and this group reported higher resilience. Resilience-enhancing interventions may help improve functional outcomes in depressed youth.

The many faces of microbiota-gut-brain axis in autism spectrum disorder.

The gut-brain axis is gaining more attention in neurodevelopmental disorders, especially autism spectrum disorder (ASD). Many factors can influence microbiota in early life, including host genetics and perinatal events (infections, mode of birth/delivery, medications, nutritional supply, and environmental stressors). The gut microbiome can influence blood-brain barrier (BBB) permeability, drug bioavailability, and social behaviors. Developing microbiota-based interventions such as probiotics, gastrointestinal (GI) microbiota transplantation, or metabolite supplementation may offer an exciting approach to treating ASD. This review highlights that RNA sequencing, metabolomics, and transcriptomics data are needed to understand how microbial modulators can influence ASD pathophysiology. Due to the substantial clinical heterogeneity of ASD, medical caretakers may be unlikely to develop a broad and effective general gut microbiota modulator. However, dietary modulation followed by administration of microbiota modulators is a promising option for treating ASD-related behavioral and gastrointestinal symptoms. Future work should focus on the accuracy of biomarker tests and developing specific psychobiotic agents tailored towards the gut microbiota seen in ASD patients, which may include developing individualized treatment options.

Texas Youth Depression and Suicide Research Network (TX-YDSRN) research registry and learning healthcare network: Rationale, design, and baseline characteristics.

BACKGROUND: American youth are seriously impacted by depression and suicide. The Texas Youth Depression and Suicide Research Network (TX-YDSRN) Participant Registry Study was initiated in 2020 to develop predictive models for treatment outcomes in youth with depression and/or suicidality. This report presents the study rationale, design and baseline characteristics of the first 1000 participants. METHODS: TX-YDSRN consists of the Network Hub (coordinating center), 12 medical school "Nodes" (manage/implement study), each with 1-5 primary care, inpatient, and/or outpatient Sub-Sites (recruitment, data collection). Participants are 8-20-year-olds who receive treatment or screen positive for depression and/or suicidality. Baseline data include mood and suicidality symptoms, associated comorbidities, treatment history, services used, and social determinants of health. Subsequent assessments occur every two months for 24 months. RESULTS: Among 1000 participants, 68.7 % were 12-17 years, 24.6 % were ≥ 18 years, and 6.7 % were < 12. Overall, 36.8 % were non-Hispanic Caucasian, 73.4 % were female, and 79.9 % had a primary depressive disorder. Nearly half of the sample reported ≥1 suicide attempt, with rates similar in youth 12-17 years old (49.9 %) and those 18 years and older (45.5 %); 29.9 % of children <12 reported at least one suicide attempt. Depression and anxiety scores were in the moderate-severe range for all age groups (Patient Health Questionnaire for Adolescents [PHQ-A]: 12.9 ± 6.4; Generalized Anxiety Disorder [GAD-7]: 11.3 ± 5.9). LIMITATIONS: The sample includes youth who are receiving depression care at enrollment and may not be representative of non-diagnosed, non-treatment seeking youth. CONCLUSIONS: The TX-YDSRN is one of the largest prospective longitudinal cohort registries designed to develop predictive models for outcome trajectories based on disorder heterogeneity, social determinants of health, and treatment availability.

Factores asociados a la adherencia al tratamiento farmacológico del trastorno por déficit de atención e hiperactividad (TDAH): revisión preliminar / Factors associated with adherence to pharmacological treatment of attention deficit hyperactivity disorder (ADHD): preliminary review

Resumen Introducción: El tratamiento del TDAH es seguro y eficaz, pero con frecuencia existen bajos niveles de adherencia al tratamiento. En este artículo describimos factores asociados a la adherencia des critos en la literatura disponible. Métodos: Realizamos una búsqueda bibliográfica no sistemática sobre artículos recientes sobre la adherencia a la medicación en niños y adolescentes con TDAH. Resultados: Hay factores asociados al propio trastorno, al paciente, al sistema de salud, factores socio-económicos, a la medicación y al entorno que pueden reducir o aumentar la adherencia a la medicación. Algunos factores que mejoran la adhe rencia incluyen: el conocimiento sobre el TDAH, la medicación y sus beneficios y efectos adversos potenciales. Regímenes de medicación sencillos, una vez al día y de liberación prolongada. Edad del paciente menor de 12 años y sexo femenino. Menos barreras de acceso al sistema de salud. Actitud positiva y proactiva de los padres respecto al TDAH y el uso de medicación. Discusión: Se podría optimizar la adherencia y por lo tanto mejorar el pronóstico a largo plazo del TDAH reforzando estos factores que aumentan la adherencia, y reduciendo los sesgos y desconocimiento sobre el TDAH.

Abstract Introduction: ADHD treatment is safe and effective, but often, adherence to t reatment is suboptimal. We studied factors associated to adherence to treatment in ADHD described in the literature. Methods: We conducted a non-systematic bibliographic search on recent articles on medication adherence in children and adolescents with ADHD. Results: There are factors associated with the disorder itself, the patient, the health system, socio-economic factors, the medication and the environment that can reduce/improve medication adherence. Some factors that improve adherence include: knowledge about ADHD, medication and its benefits and potential adverse effects. Simple, once-daily, extended-release medication regimens. Age of the patient less than 12 years and female sex. Fewer barriers to access the health system. Positive and proactive attitude of parents regarding ADHD and the use of medication. Discussion: Adherence could be optimized and therefore the long-term prognosis of ADHD improved by reinforcingfactors that increase adherence, and reducing biases and ignorance about ADHD.

Psychometric properties of Concise Associated Symptom Tracking (CAST) scale in youths and young adults: Findings from the Texas youth depression and suicide research network (TX-YDSRN).

Symptoms of irritability, anxiety, panic, and insomnia are common in patients with depression, and their worsening after antidepressant treatment initiation is associated with poorer long-term outcomes. The Concise Associated Symptom Tracking (CAST) scale was developed to measure these symptoms in adults with major depressive disorder (MDD). Here, we evaluate the psychometric properties of CAST in an ongoing community-based observational study involving children, adolescents, and young adults. Individuals from the ongoing Texas Youth Depression and Suicide Research Network (TX-YDSRN; N = 952) with CAST data available were included. Fit statistics [Goodness of Fit Index (GFI), Comparative Fit Index (CFI), and Root Mean Square Error of Approximation (RMSEA)] from confirmatory factor analyses were used to evaluate the five- and four-domain structure of CAST. Item response theory (IRT) analyses were also used. Individuals were grouped based on age (in years) as youths (8-17) and young adults (18-20). Correlations with other clinical measures were used to inform construct validity. Four-domain (irritability, anxiety, panic, and insomnia) 12-item structure of CAST (CAST-12) was optimal for youths (N = 709, GFI = 0.906, CFI = 0.919, RMSEA = 0.095) and young adults (N = 243, GFI = 0.921, CFI = 0.938, RMSEA = 0.0797) with Cronbach's alpha of 0.87 and 0.88, respectively. Slope of each item exceeded 1.0 on IRT analyses suggesting adequate discrimination for each item. Scores on irritability, anxiety, panic, and insomnia were significantly correlated with similar items on other scales. Together these findings suggest that CAST-12 is a valid self-report measure of irritability, anxiety, insomnia, and panic in youths and young adults.

[Factors associated with adherence to pharmacological treatment of attention deficit hyperactivity disorder (ADHD): preliminary review]. / Factores asociados a la adherencia al tratamiento farmacológico del trastorno por déficit de atención e hiperactividad (TDAH): revisión preliminar.

INTRODUCTION: ADHD treatment is safe and effective, but often, adherence to t reatment is suboptimal. We studied factors associated to adherence to treatment in ADHD described in the literature. METHODS: We conducted a non-systematic bibliographic search on recent articles on medication adherence in children and adolescents with ADHD. RESULTS: There are factors associated with the disorder itself, the patient, the health system, socio-economic factors, the medication and the environment that can reduce/improve medication adherence. Some factors that improve adherence include: knowledge about ADHD, medication and its benefits and potential adverse effects. Simple, once-daily, extended-release medication regimens. Age of the patient less than 12 years and female sex. Fewer barriers to access the health system. Positive and proactive attitude of parents regarding ADHD and the use of medication. DISCUSSION: Adherence could be optimized and therefore the long-term prognosis of ADHD improved by reinforcingfactors that increase adherence, and reducing biases and ignorance about ADHD.

Introducción: El tratamiento del TDAH es seguro y eficaz, pero con frecuencia existen bajos niveles de adherencia al tratamiento. En este artículo describimos factores asociados a la adherencia descritos en la literatura disponible. Métodos: Realizamos una búsqueda bibliográfica no sistemática sobre artículos recientes sobre la adherencia a la medicación en niños y adolescentes con TDAH. Resultados: Hay factores asociados al propio trastorno, al paciente, al sistema de salud, factores socio-económicos, a la medicación y al entorno que pueden reducir o aumentar la adherencia a la medicación. Algunos factores que mejoran la adherencia incluyen: el conocimiento sobre el TDAH, la medicación y sus beneficios y efectos adversos potenciales. Regímenes de medicación sencillos, una vez al día y de liberación prolongada. Edad del paciente menor de 12 años y sexo femenino. Menos barreras de acceso al sistema de salud. Actitud positiva y proactiva de los padres respecto al TDAH y el uso de medicación. Discusión: Se podría optimizar la adherencia y por lo tanto mejorar el pronóstico a largo plazo del TDAH reforzando estos factores que aumentan la adherencia, y reduciendo los sesgos y desconocimiento sobre el TDAH.

The management of ADHD in children and adolescents: bringing evidence to the clinic: perspective from the European ADHD Guidelines Group (EAGG).

ADHD is the most common neurodevelopmental disorder presenting to child and adolescent mental health, paediatric, and primary care services. Timely and effective interventions to address core ADHD symptoms and co-occurring problems are a high priority for healthcare and society more widely. While much research has reported on the benefits and adverse effects of different interventions for ADHD, these individual research reports and the reviews, meta-analyses and guidelines summarizing their findings are sometimes inconsistent and difficult to interpret. We have summarized the current evidence and identified several methodological issues and gaps in the current evidence that we believe are important for clinicians to consider when evaluating the evidence and making treatment decisions. These include understanding potential impact of bias such as inadequate blinding and selection bias on study outcomes; the relative lack of high-quality data comparing different treatments and assessing long-term effectiveness, adverse effects and safety for both pharmacological and non-pharmacological treatments; and the problems associated with observational studies, including those based on large national registries and comparing treatments with each other. We highlight key similarities across current international clinical guidelines and discuss the reasons for divergence where these occur. We discuss the integration of these different perspective into a framework for person/family-centered evidence-based practice approach to care that aims to achieve optimal outcomes that prioritize individual strengths and impairments, as well as the personal treatment targets of children and their families. Finally, we consider how access to care for this common and impairing disorder can be improved in different healthcare systems.

Resting-State fMRI to Identify the Brain Correlates of Treatment Response to Medications in Children and Adolescents With Attention-Deficit/Hyperactivity Disorder: Lessons From the CUNMET Study.

Neuroimaging research seeks to identify biomarkers to improve the diagnosis, prognosis, and treatment of attention-deficit/hyperactivity disorder (ADHD), although clinical translation of findings remains distant. Resting-state functional magnetic resonance imaging (R-fMRI) is increasingly being used to characterize functional connectivity in the brain. Despite mixed results to date and multiple methodological challenges, dominant hypotheses implicate hyperconnectivity across brain networks in patients with ADHD, which could be the target of pharmacological treatments. We describe the experience and results of the Clínica Universidad de Navarra (Spain) Metilfenidato (CUNMET) pilot study. CUNMET tested the feasibility of identifying R-fMRI markers of clinical response in children with ADHD undergoing naturalistical pharmacological treatments. We analyzed cross-sectional data from 56 patients with ADHD (18 treated with methylphenidate, 18 treated with lisdexamfetamine, and 20 treatment-naive patients). Standard preprocessing and statistical analyses with attention to control for head motion and correction for multiple comparisons were performed. The only results that survived correction were noted in contrasts of children who responded clinically to lisdexamfetamine after long-term treatment vs. treatment-naive patients. In these children, we observed stronger negative correlations (anticorrelations) across nodes in six brain networks, which is consistent with higher across-network functional segregation in patients treated with lisdexamfetamine, i.e., less inter-network interference than in treatment-naive patients. We also note the lessons learned, which could help those pursuing clinically relevant multidisciplinary research in ADHD en route to eventual personalized medicine. To advance reproducible open science, our report is accompanied with links providing access to our data and analytic scripts.

Areas of Interest and Attitudes towards the Pharmacological Treatment of Attention Deficit Hyperactivity Disorder: Thematic and Quantitative Analysis Using Twitter.

We focused on tweets containing hashtags related to ADHD pharmacotherapy between 20 September and 31 October 2019. Tweets were classified as to whether they described medical issues or not. Tweets with medical content were classified according to the topic they referred to: side effects, efficacy, or adherence. Furthermore, we classified any links included within a tweet as either scientific or non-scientific. We created a dataset of 6568 tweets: 4949 (75.4%) related to stimulants, 605 (9.2%) to non-stimulants and 1014 (15.4%) to alpha-2 agonists. Next, we manually analyzed 1810 tweets. In the end, 481 (48%) of the tweets in the stimulant group, 218 (71.9%) in the non-stimulant group and 162 (31.9%) in the alpha agonist group were considered classifiable. Stimulants accumulated the majority of tweets. Notably, the content that generated the highest frequency of tweets was that related to treatment efficacy, with alpha-2 agonist-related tweets accumulating the highest proportion of positive consideration. We found the highest percentages of tweets with scientific links in those posts related to alpha-2 agonists. Stimulant-related tweets obtained the highest proportion of likes and were the most disseminated within the Twitter community. Understanding the public view of these medications is necessary to design promotional strategies aimed at the appropriate population.

Review of barriers and interventions to promote treatment engagement for pediatric attention deficit hyperactivity disorder care.

Attention deficit hyperactivity disorder (ADHD) is a common and impairing behavioral health disorder, impacting over 5% of children worldwide. There are multiple evidence-based pharmacological and psychosocial treatments for ADHD, and greater service utilization is associated with improved acute and long-term outcomes. However, long-term outcomes are suboptimal as multimodal treatments are often not accessed and most care ends prematurely. This narrative review discusses barriers to engagement for children and adolescents with ADHD and their families as well as interventions to overcome these barriers. Families face a variety of structural and attitudinal barriers, ranging from cost and access to stigma and low self-efficacy to successfully implement change. There are multiple interventions that may enhance engagement with ADHD care including psychoeducation, integration of behavioral services in general medical settings, telehealth as well as specific adaptations to existing ADHD treatments, such as the use of motivational interviewing or shared decision making. Integration of behavioral health into general medical settings and telehealth have been found in controlled studies to increase access by reducing both structural and attitudinal barriers. Adding motivational interviewing, shared decision making and other engagement interventions to evidence-based ADHD treatments has been found to reduce attitudinal barriers that translates into improved participation and satisfaction while enhancing outcomes. However, little is known about how to promote extended engagement with ADHD services even though a chronic care model for ADHD is recommended.

Systematic Review: Medication Effects on Brain Intrinsic Functional Connectivity in Patients With Attention-Deficit/Hyperactivity Disorder.

OBJECTIVE: Resting-state functional magnetic resonance imaging (R-fMRI) studies of the neural correlates of medication treatment in attention-deficit/hyperactivity disorder (ADHD) have not been systematically reviewed. Our objective was to systematically identify, assess and summarize within-subject R-fMRI studies of pharmacological-induced changes in patients with ADHD. We critically appraised strengths and limitations, and provide recommendations for future research. METHOD: Systematic review of published original reports in English meeting criteria in pediatric and adult patients with ADHD up to July 1, 2020. A thorough search preceded selection of studies matching prespecified criteria. Strengths and limitations of selected studies, regarding design and reporting, were identified based on current best practices. RESULTS: We identified and reviewed 9 studies (5 pediatric and 4 adult studies). Sample sizes were small-medium (16-38 patients), and included few female participants. Medications were methylphenidate, amphetamines, and atomoxetine. Wide heterogeneity was observed in designs, analyses and results, which could not be combined quantitatively. Qualitatively, the multiplicity of brain regions and networks identified, some of which correlated with clinical improvements, do not support a coherent mechanistic hypothesis of medication effects. Overall, reports did not meet current standards to ensure reproducibility. CONCLUSION: In this emerging field, the few studies using R-fMRI to analyze the neural correlates of medications in patients with ADHD suggest a potential modulatory effect of stimulants and atomoxetine on several intrinsic brain activity metrics. However, methodological heterogeneity and reporting issues need to be addressed in future research to validate findings which may contribute to clinical care. Such a goal is not yet at hand.

Clinical and Neuropsychological Predictors of Methylphenidate Response in Children and Adolescents with ADHD: A Naturalistic Follow-up Study in a Spanish Sample.

BACKGROUND: Methylphenidate (MPH) is the most commonly used medication for Attention-Deficit/Hyperactivity Disorder (ADHD), but to date, there are neither consistent nor sufficient findings on conditions differentiating responsiveness to MPH response in ADHD. OBJECTIVE: To develop a predictive model of MPH response, using a longitudinal and naturalistic follow-up study, in a Spanish sample of children and adolescents with ADHD. METHODS: We included all children and adolescents with ADHD treated with MPH in our outpatient Clinic (2005 to 2015), evaluated with the K-SADS interview. We collected ADHD-RS-IV.es and CGI-S scores at baseline and at follow up, and neuropsychological testing (WISC-IV, Continuous Performance Test (CPT-II) & Stroop). Clinical response was defined as >30% reduction from baseline of total ADHD-RS-IV.es score and CGI-S final score of 1 or 2 maintained for the previous 3 months. RESULTS: We included 518 children and adolescents with ADHD, mean (SD) age of patients was 11.4 (3.3) years old; 79% male; 51.7% had no comorbidities; and 75.31% had clinical response to a mean MPH dose of 1.2 mg/kg/day. Lower ADHD-RS-IV.es scores, absence of comorbidities (oppositional-defiant symptoms, depressive symptoms and alcohol/cannabis use), fewer altered neuropsychological tests, higher total IQ and low commission errors in CPT-II, were significantly associated with a complete clinical response to methylphenidate treatment. CONCLUSION: Oppositional-defiant symptoms, depressive symptoms, and a higher number of impaired neuropsychological tests are associated with worse clinical response to methylphenidate. Other stimulants or non-stimulants treatment may be considered when these clinical and neuropsychological variables converged in the first clinical interview.

Phenomenology and diagnostic stability of paediatric bipolar disorder in a Spanish sample.

BACKGROUND: Paediatric bipolar disorder (BD) has gained validity, and substantial research in the last 20 years has dissipated the controversy surrounding it. However, data on the prevalence, prodromes, phenomenology, and longitudinal stability of paediatric BD are still required. METHODS: We reviewed the medical records of all patients (n = 72) with DSM-IV BD evaluated over a 15-year period. We assessed the most frequently present symptoms prior to and at the time of diagnosis, the diagnostic stability of the disorder and its subtypes (I, II and NOS). RESULTS: Patients [75% boys, median age (interquartile range, IQR) at diagnosis 12.6 (9.6-15.7) years] underwent follow up for a median period of 3.86 (1.8-5.9) years. There was a median delay from symptom onset to diagnosis of 2.3 (1.2-4.8) years. At the time of diagnosis, 37.5% had BD-I, 8.3% BD-II, and 54.2% BD-NOS. At follow-up, 62.5% had BD-I, 8.3% had BD-II, and 23.6% had BD-NOS, whereas 4.2% no longer met the DSM-IV criteria for BD. LIMITATIONS: Our sample size limited the BD subtype analyses. Some of information was collected retrospectively. CONCLUSION: 95.8% of our sample retained a BD diagnosis after a median follow-up period of 3.86 years. BD-I patients maintained their diagnosis and subtype of BD. Half of all patients with baseline BD-NOS maintained their BD subtype, but most of the other half showed conversion to BP-I at follow up. Only 4.2% of the sample (all with BD-NOS at baseline) did not meet criteria for BD at follow up, and these patients were stable.

Normative ADHD-RS-Preschool Data in a Community Sample in Spain.

OBJECTIVE: The objective was to obtain normalized data from the ADHD Rating Scale-IV-Preschool Version (ADHD-RS-IV-P) in a Spanish sample. METHOD: We translated and adapted the ADHD-RS-IV to our culture to obtain normalized data from a random representative sample of 1,426 Spanish preschool children (3 to <7 years old; 49.7% males). To analyze differences between evaluators, we used MANOVA. Internal consistency was assessed via Cronbach's alpha. RESULTS: The mean age was 4.7 years old. There was a significant sex effect. The questionnaire had an internal consistency between .86 and .96 according to subscale and evaluator. CONCLUSION: To evaluate ADHD in preschool children, it is necessary to use scores standardized by sex. Using a validated scale in schools and primary care centers may be useful for early detection of ADHD.

Risk of poisoning in children and adolescents with ADHD: a systematic review and meta-analysis.

Poisoning, a subtype of physical injury, is an important hazard in children and youth. Individuals with ADHD may be at higher risk of poisoning. Here, we conducted a systematic review and meta-analysis to quantify this risk. Furthermore, since physical injuries, likely share causal mechanisms with those of poisoning, we compared the relative risk of poisoning and injuries pooling studies reporting both. As per our pre-registered protocol (PROSPERO ID CRD42017079911), we searched 114 databases through November 2017. From a pool of 826 potentially relevant references, screened independently by two researchers, nine studies (84,756 individuals with and 1,398,946 without the disorder) were retained. We pooled hazard and odds ratios using Robust Variance Estimation, a meta-analytic method aimed to deal with non-independence of outcomes. We found that ADHD is associated with a significantly higher risk of poisoning (Relative Risk = 3.14, 95% Confidence Interval = 2.23 to 4.42). Results also indicated that the relative risk of poisoning is significantly higher than that of physical injuries when comparing individuals with and without ADHD (Beta coefficient = 0.686, 95% Confidence Interval = 0.166 to 1.206). These findings should inform clinical guidelines and public health programs aimed to reduce physical risks in children/adolescents with ADHD.