Identifying Adolescent Vaping With Screening to Brief Intervention and Brief Screener for Tobacco, Alcohol, and Drugs Screening Tools.

PURPOSE: This study aimed to determine whether the modified Screening to Brief Intervention (S2BI) and Brief Screener for Tobacco, Alcohol, and Drugs (BSTAD) that included e-cigarettes/vaping as examples could identify all nicotine and cannabis use or whether additional questions specifically about vaping are needed. METHODS: Between July 2020 and February 2022, adolescents recruited from primary care or an outpatient adolescent substance use disorder program were randomized to complete S2BI or BSTAD followed by specific questions about vaping. Screen questions were updated to include "vaping" in the parenthetical examples of nicotine and cannabis use. RESULTS: Data from 502 adolescent participants who completed both the S2BI or BSTAD and vaping questions were analyzed. The S2BI and BSTAD identified 92% (23/25) and 100% (16/16) of nicotine vaping and 100% (16/16) and 95.5% (21/22) of cannabis vaping, respectively. DISCUSSION: The S2BI and BSTAD tools accurately identify nicotine and cannabis use without specific questions about vaping.

Comparing the Performance of World Mental Health Composite International Diagnostic Interview Substance Abuse Module in Adolescents to Diagnoses Made by Pediatric Addiction Medicine Specialists.

OBJECTIVES: The World Mental Health Composite International Diagnostic Interview Substance Abuse Module (WMH-CIDI-SAM) is commonly used as a criterion standard measure for substance use disorder (SUD) diagnoses, although the accuracy of this tool when used with adolescents is unknown. The objective of this study was to evaluate the agreement between SUD diagnoses for adolescents made by WMH-CIDI-SAM and those made by specialists based on Diagnostic and Statistical Manual of Mental Disorders (Fifth Edition) ( DSM-5 ) SUD criteria during an SUD evaluation. METHODS: Adolescents aged 12 to 17 years presenting to an outpatient SUD program for youth were administered the WMH-CIDI-SAM by a trained research assistant, and results were compared with diagnoses made by experienced clinicians based on DSM-5 SUD criteria during an initial SUD evaluation. Chance-corrected concordance was estimated using the κ coefficient for the comparisons. RESULTS: The level of concordance between the WMH-CIDI-SAM interview and the clinician diagnosis based on DSM-5 SUD criteria were fair to moderate for alcohol use disorder and tobacco use disorder and poor for cannabis use disorder. Three of 11 WMH-CIDI-SAM item constructs showed poor concordance with clinician diagnosis. CONCLUSIONS: Interpreting the diagnostic criteria for SUDs, particularly cannabis use disorders, is nuanced, and the meaning of the criteria may be misunderstood by adolescents. Further evaluation of the performance of the WMH-CIDI-SAM diagnostic interview for identifying cannabis use disorders in adolescents is needed.

Parent Guidance on Alcohol Use for Youth With Chronic Medical Conditions.

PURPOSE: Youth with chronic medical conditions are vulnerable to unique alcohol-related health consequences, yet there are few prevention strategies targeting this group. Youth with chronic medical conditions parents' beliefs and provision of alcohol-related guidance have not yet been explored, which limits the development of effective family-based interventions. METHODS: We evaluated baseline surveys of youth with chronic medical conditions and their parents (n = 268 dyads) enrolled in a randomized controlled trial of a psychoeducational intervention to reduce alcohol use by youth with chronic medical conditions. Surveys evaluated youth alcohol use, parent beliefs about their child's alcohol use, and parental provision of alcohol guidance, including disease-related and disease-independent (ie, "drinking and driving") topics. Paired bivariate tests (χ 2 , Fisher exact) were used to measure associations between youth with chronic medical conditions alcohol use and parent alcohol-related beliefs and provision of alcohol-related guidance. RESULTS: In this study of 268 parent-youth dyads, many parents did not provide guidance on disease-specific topics, such as mixing alcohol with medications (47.8%) or risk of flares (37.6%). Furthermore, youth with chronic medical conditions whose parents had expectant beliefs about alcohol use (ie, alcohol use is "inevitable" or "OK with supervision") were more likely to report alcohol use (all P values <0.05). DISCUSSION: These findings suggest parent beliefs may influence youth with chronic medical conditions alcohol use. Proactive, disease-specific education from medical providers to parents of youth with chronic medical conditions may help to reduce adverse consequences of alcohol use in these vulnerable youth.

Substance Use and Educational Impacts in Youth With and Without Chronic Illness.

INTRODUCTION: Alcohol, cannabis, and nicotine are commonly used psychoactive substances that affect adolescent neurocognition. Little is known about the educational impacts of their use on measures of educational performance, participation and problems, especially among youth with a chronic illness who may use these substances to alleviate stress and symptoms. METHODS: Adolescents receiving general or subspecialty care were administered an electronic survey from 2016 to 2018. Data were analyzed in 2023. Using modified Poisson models, cross-sectional associations between past 12-month usage of alcohol, cannabis, and/or nicotine and educational impacts were estimated. RESULTS: Among 958 adolescents (mean age 16.0 years (SD 1.3), 564 (58.9%) female gender, 445 (46.5%) in subspecialty care), 294 (30.7%), 220 (23.0%), and 126 (13.2%) reported past 12-month use of alcohol, cannabis, and nicotine respectively, while 407 (42.5%) reported ≥1 educational impact, including recent lower grades 210 (21.9%), past 3-month truancy from school 164 (17.1%) or activities 170 (17.7%), and detention 82 (8.6%). Use of cannabis, but not other substances, was associated with negative educational impacts: lower grades (mostly C's/D's/F's), adjusted prevalence ratios [APR, (95% CI)] 1.54 (1.13-2.11); past 3-month truancy from school [2.16 (1.52-3.07)]; detention [2.29 (1.33-3.94)]. The association between cannabis use and any negative educational impact was stronger among adolescents with a chronic illness (p<0.001). CONCLUSIONS: Among adolescents, cannabis use was associated with a heightened risk of negative educational impacts, even after controlling for alcohol and nicotine use. Adolescents with chronic illness were especially likely to experience negative educational impacts. Findings underscore need for preventive interventions and messaging to reduce risks.

Associations Between Patient-Reported Outcome Measures of Physical and Psychological Functioning and Willingness to Share Social Media Data for Research Among Adolescents With a Chronic Rheumatic Disease: Cross-Sectional Survey.

Background: Social media data may augment understanding of the disease and treatment experiences and quality of life of youth with chronic medical conditions. Little is known about the willingness to share social media data for health research among youth with chronic medical conditions and the differences in health status between sharing and nonsharing youth with chronic medical conditions. Objective: We aimed to evaluate the associations between patient-reported measures of disease symptoms and functioning and the willingness to share social media data. Methods: Between February 2018 and August 2019, during routine clinic visits, survey data about social media use and the willingness to share social media data (dependent variable) were collected from adolescents in a national rheumatic disease registry. Survey data were analyzed with patient-reported measures of disease symptoms and functioning and a clinical measure of disease activity, which were collected through a parent study. We used descriptive statistics and multivariate logistic regression to compare patient-reported outcomes between youth with chronic medical conditions who opted to share social media data and those who did not opt to share such data. Results: Among 112 youths, (age: mean 16.1, SD 1.6 y; female: n=72, 64.3%), 83 (74.1%) agreed to share social media data. Female participants were more likely to share (P=.04). In all, 49 (43.8%) and 28 (25%) participants viewed and posted about rheumatic disease, respectively. Compared to nonsharers, sharers reported lower mobility (T-score: mean 49.0, SD 9.4 vs mean 53.9, SD 8.9; P=.02) and more pain interference (T-score: mean 45.7, SD 8.8 vs mean 40.4, SD 8.0; P=.005), fatigue (T-score: mean 49.1, SD 11.0 vs mean 39.7, SD 9.7; P<.001), depression (T-score: mean 48.1, SD 8.9 vs mean 42.2, SD 8.4; P=.003), and anxiety (T-score: mean 45.2, SD 9.3 vs mean 38.5, SD 7.0; P<.001). In regression analyses adjusted for age, sex, study site, and Physician Global Assessment score, each 1-unit increase in symptoms was associated with greater odds of willingness to share social media data, for measures of pain interference (Adjusted Odds Ratio [AOR] 1.07, 95% CI 1.001-1.14), fatigue (AOR 1.08, 95% CI 1.03-1.13), depression (AOR 1.07, 95% CI 1.01-1.13), and anxiety (AOR 1.10, 95% CI 1.03-1.18). Conclusions: High percentages of youth with rheumatic diseases used and were willing to share their social media data for research. Sharers reported worse symptoms and functioning compared to those of nonsharers. Social media may offer a potent information source and engagement pathway for youth with rheumatic diseases, but differences between sharing and nonsharing youth merit consideration when designing studies and evaluating social media-derived findings.

The Association of Vaping With Social/Emotional Health and Attitudes Toward COVID-19 Mitigation Measures in Adolescent and Young Adult Cohorts During the COVID-19 Pandemic.

BACKGROUND: Vaping is a major health risk behavior which often occurs socially. Limited social activity during the COVID-19 pandemic contributed to worsening social and emotional health. We investigated associations among youth vaping, and reports of worsening mental health, loneliness, and relationships with friends and romantic partners (ie, social health), as well as perceived attitudes toward COVID-19 mitigation measures. METHODS: From October 2020 to May 2021, a clinical convenience sample of adolescents and young adults (AYA) reported on their past-year substance use, including vaping, their mental health, COVID-19 related exposures and impacts, and their attitudes toward non-pharmaceutical COVID-19 mitigation interventions, via a confidential electronic survey. Multivariate logistic regressions were used to estimate associations among vaping and social/emotional health. RESULTS: Of 474 AYA (mean age = 19.3 (SD = 1.6) years; 68.6% female), 36.9% reported vaping in the prior 12 months. AYA who self-reported vaping were more likely than non-vaping AYA to report worsening: anxiety/worry (81.1%; P = .036), mood (78.9%; P = .028), eating (64.6%; P = .015), sleep (54.3%; P = .019), family discord (56.6%; P = .034), and substance use (54.9%; P < .001). Participants who vaped also reported easy access to nicotine (63.4%; P < .001) and cannabis products (74.9%; P < .001). No difference in perceived change in social wellbeing was seen between the groups. In adjusted models, vaping was associated with symptoms of depression (AOR = 1.86; 95% CI = 1.06-3.29), less social distancing (AOR = 1.82; 95% CI = 1.11-2.98), lower perceived importance of proper mask wearing (AOR = 3.22; 95% CI = 1.50-6.93), and less regular use of masks (AOR = 2.98; 95% CI = 1.29-6.84). CONCLUSIONS: We found evidence that vaping was associated with symptoms of depression and lower compliance with non-pharmaceutical COVID-19 mitigation efforts among AYA during the COVID-19 pandemic.

Assessment of Screening Tools to Identify Substance Use Disorders Among Adolescents.

Importance: Efficient screening tools that effectively identify substance use disorders (SUDs) among youths are needed. Objective: To evaluate the psychometric properties of 3 brief substance use screening tools (Screening to Brief Intervention [S2BI]; Brief Screener for Tobacco, Alcohol, and Drugs [BSTAD]; and Tobacco, Alcohol, Prescription Medication, and Other Substances [TAPS]) with adolescents aged 12 to 17 years. Design, Setting, and Participants: This cross-sectional validation study was conducted from July 1, 2020, to February 28, 2022. Participants aged 12 to 17 years were recruited virtually and in person from 3 health care settings in Massachusetts: (1) an outpatient adolescent SUD treatment program at a pediatric hospital, (2) an adolescent medicine program at a community pediatric practice affiliated with an academic institution, and (3) 1 of 28 participating pediatric primary care practices. Participants were randomly assigned to complete 1 of the 3 electronic screening tools via self-administration, followed by a brief electronic assessment battery and a research assistant-administered diagnostic interview as the criterion standard measure for Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) diagnoses of SUDs. Data were analyzed from May 31 to September 13, 2022. Main Outcomes and Measures: The main outcome was a DSM-5 diagnosis of tobacco/nicotine, alcohol, or cannabis use disorder as determined by the criterion standard World Mental Health Composite International Diagnostic Interview Substance Abuse Module. Classification accuracy of the 3 substance use screening tools was assessed by examining the agreement between the criterion, using sensitivity and specificity, based on cut points for each tool for use disorder, chosen a priori from previous studies. Results: This study included 798 adolescents, with a mean (SD) age of 14.6 (1.6) years. The majority of participants identified as female (415 [52.0%]) and were White (524 [65.7%]). High agreement between screening results and the criterion standard measure was observed, with area under the curve values ranging from 0.89 to 1 for nicotine, alcohol, and cannabis use disorders for each of the 3 screening tools. Conclusions and Relevance: These findings suggest that screening tools that use questions on past-year frequency of use are effective for identifying adolescents with SUDs. Future work could examine whether these tools have differing properties when used with different groups of adolescents in different settings.

Effects of a Patient-Centered Intervention to Reduce Alcohol Use Among Youth With Chronic Medical Conditions.

PURPOSE: Alcohol poses unique risks for youth with chronic medical conditions (YCMC) yet many drink. Preventive interventions targeting YCMC are scarce. METHODS: YCMC with type 1 diabetes, juvenile idiopathic arthritis, systemic lupus erythematosus, or inflammatory bowel disease were recruited and randomized to trial the effects of a self-administered condition-tailored psychoeducational intervention on frequency in days of past 3-month alcohol use, alcohol-related risk perceptions, and knowledge. Changes in outcomes over time were measured and compared by treatment arm using multivariate mixed effects models. RESULTS: Among N = 418 participants (average age 16.0 years, 52.2% female, 84.7% white, 90.7% non-Hispanic), 24.2% reported past-year alcohol use at baseline. Alcohol-related knowledge increased overall and was greater for the intervention group (adjusted improvement in knowledge score +7.70, 95% confidence interval [CI] 2.92-12.48). By 6-month follow-up, the percentage of youth reporting any alcohol use is risky/dangerous increased among intervention arm participants from 41.5% to 45.4% at baseline and decreased from 38.9% to 37.4% among controls (adjusted intervention effect odds ratio 1.79, 95% confidence interval 1.02-3.13). Overall, frequency of drinking increased over time from 3.72 to 4.52 days on average, with no differences by treatment group. Among female drinkers, the predicted mean frequency of drinking days declined in the intervention group (4.11-3.33) and increased among controls (2.82-4.55) (adjusted intervention effect rate ratio .50, 95% confidence interval .25-.99). CONCLUSIONS: Exposure to a chronic illness-tailored psychoeducational intervention targeting alcohol use increased knowledge and perceived risk and, among females, reduced alcohol use. Promising results merit future work to optimize the model for both males and females.

Pediatric Subspecialist Alcohol Screening Rates and Concerns About Alcohol and Cannabis Use Among Their Adolescent Patients.

PURPOSE: Pediatric specialty care provides an opportunity to screen for and address patient substance use; however, little is known about providers' screening rates, their opinions regarding substance use harms, or the potential marijuana to be used as a medication. METHODS: We surveyed national convenience samples of pediatric endocrinologists (N = 142) and rheumatologists (N = 83) and used descriptive statistics and multivariate logistic regression to examine alcohol screening rates, barriers, and for medical use of marijuana, differences between subspecialist concerns. RESULTS: In all, 36.4% of providers reported screening adolescent patients annually or more, and a majority expressed concerns about impacts on disease management (80.0%/80.0%) and symptom management (69.3%/53.3%) from alcohol and marijuana, respectively. Nearly equal proportions disagreed (30.2%), were neutral (34.7%), or agreed (35.1%) that some patients would benefit from medical marijuana, although majorities were not comfortable recommending marijuana (62.7%) and did not believe marijuana is standardized enough to be used as medication (57.8%). DISCUSSION: Fewer than half of the subspecialists in our study routinely screen their adolescent patients for substance use, although many have concerns regarding the impacts of alcohol and marijuana use on their patients. Education and training on best practice could help to increase screening rates. There is agreement that marijuana is not standardized enough to be used as a medication. There is also a broad range of opinions regarding the pharmaceutical potential of marijuana and concerns about the impact of marijuana on underlying chronic medical conditions, which should be considered as marijuana policy continues to evolve.

Association of Screening and Brief Intervention With Substance Use in Massachusetts Middle and High Schools.

Importance: Screening and brief intervention (SBI) programs in schools have the potential to provide substance use prevention messages to large numbers of adolescents. This study evaluated the association between exposure to a school-based SBI program and reductions in substance use among youths after enactment of a law that required Massachusetts schools to provide SBI to all students. Objective: To estimate the association between exposure to a school-based SBI program and changes in substance use among youths. Design, Setting, and Participants: In this mixed-method quality improvement study using an effectiveness-implementation hybrid design, stakeholder interviews were conducted to describe the operations, timing, and impressions of SBI implementation at 14 intervention schools in Massachusetts. Repeated cross-sectional surveys of youths in intervention and comparison groups were administered between December 19, 2017, and May 22, 2019, to assess substance use and associated measures of perceived risk, knowledge, and adult support before and approximately 3 months after SBI implementation among exposed groups. A difference-in-differences framework was used to estimate substance use outcomes associated with SBI exposure among students in middle school (grades 7 and 8) and high school (grades 9 and 10) using adjusted overlap-weighted generalized models to account for covariate imbalance between exposed and unexposed school grades. In addition, 14 school staff members were interviewed about implementation. Exposures: Exposure vs nonexposure to a school-based SBI program. Main Outcomes and Measures: Frequency of alcohol, cannabis, and e-cigarette use (measured in days) and any binge drinking in the past 3 months. Results: Between December 2017 and May 2019, 8771 survey responses were collected from 4587 students in grades 7 through 10 who were attending one of 23 participating school districts. The median (IQR) age was 13 (13-14) years (range, 12-17 years); 2226 students self-identified as female (48.5%), 2206 (48.1%) as male, and 155 (3.4%) as transgender or preferred not to answer. Overall, 163 students (3.6%) identified their race as Asian, 146 (3.2%) as Black or African American, 2952 (64.4%) as White, and 910 (19.8%) as mixed or other race (including American Indian or Alaska Native and Native Hawaiian or Pacific Islander); 416 students (9.1%) preferred not to answer or were missing data on race. A total of 625 students (13.6%) identified their ethnicity as Hispanic and 3962 (86.4%) as non-Hispanic. Cannabis use increased over time in both the SBI group (middle school: marginal estimated probability, 0.73 [95% CI, 0.21-2.51] at baseline vs 2.01 [95% CI, 0.60-6.70] at follow-up; high school: marginal estimated probability, 2.86 [95% CI, 0.56-14.56] at baseline vs 3.10 [95% CI, 0.57-16.96] at follow-up) and the control group (middle school: marginal estimated probability, 0.24 [95% CI, 0.05-1.03] at baseline vs 3.38 [95% CI, 0.81-14.18] at follow-up; high school: marginal estimated probability, 1.30 [95% CI, 0.27-6.29] at baseline vs 1.72 [95% CI, 0.34-8.66] at follow-up). e-cigarette use also increased over time in both the SBI group (middle school: marginal estimated probability, 0.81 [95% CI, 0.22-3.01] at baseline vs 1.94 [95% CI, 0.53-7.02] at follow-up; high school: marginal estimated probability, 3.82 [95% CI, 0.72-20.42] at baseline vs 3.51 [95% CI, 0.55-22.59] at follow-up) and the control group (middle school: marginal estimated probability, 0.51 [95% CI, 0.12-2.30] at baseline vs 3.40 [95% CI, 0.72-16.08] at follow-up; high school: marginal estimated probability, 2.29 [95% CI, 0.41-12.65] at baseline vs 3.53 [95% CI, 0.62-20.16] at follow-up). Exposure to SBI was associated with a significantly smaller increase in the rate of cannabis use among middle school students (adjusted rate ratio [aRR], 0.19; 95% CI, 0.04-0.86) and significantly smaller increases in the rates of cannabis and e-cigarette use among all female students (cannabis use: aRR, 0.17 [95% CI, 0.03-0.96]; e-cigarette use: aRR, 0.16 [95% CI, 0.03-0.82]) compared with nonexposure. No other significant differences were observed among students in grades 7 and 8, and no differences were found in any comparison between groups in grades 9 and 10. Conclusions and Relevance: In this quality improvement study, exposure to a school-based SBI program was associated with a significantly smaller increase in the rate of cannabis use among middle school students and significantly smaller increases in the rates of cannabis and e-cigarette use among all female students. These findings suggest that implementation of SBI programs in schools may help to reduce substance use among middle school and female students, and further study of these programs is warranted.

Feasibility and Efficacy of Online Strategies to Recruit Parents of Children With Rheumatic Diseases for Research.

OBJECTIVE: We aimed to determine the feasibility and efficacy of online strategies to recruit parents of children with pediatric rheumatic diseases (PRDs) for research and to evaluate the degree to which known features of various rheumatic disease groups were present in the online cohort. METHODS: We studied two cohorts; the first was composed of respondents from a cross-sectional parental survey of children with PRDs contacted through patient support groups and social media platforms, and the second cohort was composed of participants from the Childhood Arthritis and Rheumatology Research Alliance (CARRA) legacy clinical registry. RESULTS: In the social media cohort, 712 complete surveys were analyzed. Most (65.9%) were referred from Facebook. The most common rheumatic disease was juvenile idiopathic arthritis (JIA) (27.1%), followed by juvenile dermatomyositis (22.1%). In the CARRA registry cohort, 7985 records were included. JIA was the largest disease group (70.3%), followed by systemic lupus erythematosus (12.0%). The age at disease onset for most PRDs was similar between those in the social media and CARRA registry cohorts (mean difference = 1.3 years). CONCLUSION: Recruitment through Facebook was the most fruitful. The clinical characteristics of the social media cohort were similar to those of patients recruited through a clinical registry, suggesting the utility of online recruitment for engaging disease-relevant cohorts. Parents of children with rare PRDs were overrepresented in the social media cohort, perhaps reflecting the increased need of those parents to find online information and receive emotional support. Social media recruitment for research studies may help expand the number and diversity of participants in clinical research, especially by including those with rare diseases.

Pediatric acquired demyelinating syndrome (ADS) in inpatient hospital settings: The hospitalization rate, costs, and outcomes in the US.

BACKGROUND: Although relatively rare among pediatric patients, acquired demyelinating syndromes of the central nervous system (ADS) is a potentially disabling condition that warrants hospitalization and long-term follow-up. As such, a better understanding of the epidemiology and hospital utilization for this condition could provide critical information for health care planning and resource allocation. OBJECTIVE: To evaluate the trends of hospital utilization and resource use associated with pediatric ADS in the US. METHOD: We conducted a serial cross-sectional trend analysis with complex sampling and weighting using nationally representative hospital discharge records, from the Kids´ Inpatient Database (KID), Healthcare Cost and Utilization Project (HCUP), Agency for Healthcare Research and Quality coded with International Classification of Diseases (Healthcare Cost and Utilization Project (HCUP) 2018), Ninth Revision (ICD-9-CM) for the years 2003, 2006, 2009, and 2012. We also conducted a cross-sectional study for the KID2016 dataset coded with ICD10-CM to estimate the pediatric ADS-related hospital utilization for the year. EXCLUDING TRANSFERRING DISCHARGES: we evaluated the discharge records for those aged 0 to 19 years diagnosed with any of ADS of central nervous systems including multiple sclerosis (MS), neuromyelitis optica spectrum disorder (NMOSD), acute disseminated encephalomyelitis (ADEM), optic neuritis (ON), transverse myelitis (TM) and demyelinating disease not specified (DDNS). For the trend analysis, we used variance-weighted regression and Poisson regression for the annual hospitalization rate, total hospital charges and hospital days associated with the ADS hospitalizations for the year 2003 to 2012. RESULTS: We estimated a total of 1,292 ADS-related hospitalizations (95%CI: 1127-1,458) in 2003, 2104 hospitalizations (95%CI: 1823-2385) in 2006, 2851 hospitalizations (95%CI: 2499-3203) in 2009, and 3501 hospitalizations (95%CI: 3058-3945) in 2012 among those aged 19 years or younger with diagnoses of ADS. There was an increase in the proportion of the inpatient hospital cost attributed to ADS from 0.06% in 2003 to 0.20% in 2012. The annual hospitalization rates relative to pediatric ADS were 1.59/100,000 (95%CI: 1.51-1.68) in 2003 and 4.21/100,000 (95%CI: 4.07-4.35) in 2012. In the cross-sectional analysis for the year 2016 coded by ICD10-CM, the number of pediatric ADS related hospitalizations were 4,568, constituting 0.30% of the total pediatric hospitalization cost. The annual hospitalization rate for the year 2016 was estimated to be 5.51/100,000. CONCLUSION: Hospital utilization by pediatric patients with ADS increased during the period 2003 through 2012. The cross-sectional analysis for the year 2016 indicated that the trend could be ongoing, although the direct comparison was not feasible due to the changes in the coding system of the dataset from ICD9-CM to ICD10-CM. Although relatively rare, pediatric ADS warrant long-term follow-ups and hospitalizations, impacting the developmental trajectory of the affected children and the lives of their family members. Th potentially increasing trend of pediatric ADS hospital utilization should be acknowledged when allocating and planning future resources and supporting programs.