Archives of Disease in Childhood

ObjectiveAvoidable perinatal brain injury, including preventable hypoxicischaemic encephalopathy (HIE), remains a major global challenge for maternity care. In the UK, progress is hindered by weaknesses in infrastructure of routinely collected perinatal data. We sought to develop a strategy to support improvement in data relating to potentially avoidable HIE. DesignOnline survey of UK-based professionals, structured discussions with a multidisciplinary advisory group, and three workshops with patient/family representatives. SettingUnited Kingdom. Main outcome measuresCo-created recommendations for improving the consistency, comprehensiveness, linkage, quality, and practical use of routinely collected UK maternity and neonatal data related to potentially avoidable HIE. ResultsBetween 85-98% of survey participants (N=411) rated most of the data items proposed as characterising avoidable brain injury as important. They also identified data gaps, particularly for intrapartum risk factors. Participants wanted accessible, unitlevel feedback and capabilitybuilding for interpreting data, while cautioning against sharing data with families without context. The advisory group (n=35) and patient/family representatives (n=9) converged on 15 recommendations covering: definitions; a core item catalogue and shared data dictionary; electronic patient record interoperability; workflowintegrated data capture; secure individuallevel linkage with longerterm followup; strengthened audit and feedback; and improved capture and sharing of data relevant to families. ConclusionsThe recommendations offer a roadmap for developing an integrated data source that builds on existing datasets of routinely collected maternity and neonatal data. Even a basic version of this data source would already help promote actionable use of data and guide investments in digital infrastructure that enables continuous improvement cycles. Key messagesO_ST_ABSWhat is already known on this topicC_ST_ABSO_LIEfforts to reduce avoidable perinatal brain injury in the UK are hindered by fragmented maternity and neonatal data systems, including inconsistent definitions, limited linkage across datasets, duplication in data entry practices, and incomplete coverage of key data items. C_LI What this study addsO_LIThis study presents strategic recommendations for improving UK data on potentially avoidable perinatal brain injury, collaboratively developed with maternity and neonatal professionals, data specialists, and patient and family representatives. C_LIO_LIThe 15 recommendations set out ways to strengthen definitions, comprehensiveness, standardisation, linkage, quality, and practical use of routinely collected data relevant to avoidable perinatal brain injury. C_LI How this study might affect research, practice or policyO_LIThe set of recommendations offers a roadmap for developing an integrated data source that builds on existing datasets of routinely collected maternity and neonatal data. C_LIO_LIEven a basic version of an integrated data source would already help promote meaningful and actionable use of data for prevention of perinatal brain injury, and guide future investment in digital infrastructure that enables continuous improvement cycles. C_LI

ObjectiveTo evaluate the impact of equity-focused community-engagement initiatives on the uptake of five routine childhood vaccinations. DesignQuasi-experimental study within a synthetic control analysis framework. SettingPrimary care in England between April 2019 and March 2025. Childhood vaccination data were obtained from the Cover of Vaccination Evaluated Rapidly (COVER) programme. InterventionThe Health Equity Liverpool Project (HELP) is a community-engagement vaccination initiative implemented between October 2023 and June 2024 across nine sites in central and north Liverpool. Activities were co-developed with local partners and delivered in neighbourhoods with persistently low childhood vaccine coverage. Intervention practices were defined as those located within 1 km of HELP delivery sites (n=19). A weighted combination of non-intervention practices across England (n=5826) was used to construct a synthetic control group. Main outcomesQuarterly counts of vaccinated children following intervention implementation for first doses of the measles, mumps and rubella vaccine (MMR1 at 24 months and at 5 years), second dose of MMR (MMR2 at 5 years), pneumococcal conjugate vaccine (PCV at 24 months), the 6-in-1 vaccine, covering diphtheria, tetanus, pertussis, polio, haemophilus influenzae type b, and hepatitis B (at 12 months), and the rotavirus vaccine (at 12 months). ResultsFollowing HELP, rotavirus vaccine uptake increased by 10.03% (95% CI 0.37% to 24.63%), corresponding to 120 (95% CI 4 to 295) additional infants vaccinated in the intervention group compared to the synthetic control. Similarly, 6-in-1 vaccine uptake rose by 11.56% (95% CI 2.37% to 25.56% [~]143 95% CI 29 to 317 additional children vaccinated. No statistically significant changes were observed for MMR1, MMR2, or PCV. Improvements were short-lived, with uptakes returning to pre-intervention levels after approximately nine months. ConclusionsCommunity-engagement vaccination interventions may produce a modest short-term improvement in uptake of selected early life vaccines but show limited evidence of benefit for MMR uptake. Our findings suggest that such approaches are unlikely to have a sustained impact without long-term investment, integration into existing immunisation systems and addressing the wider social determinants of health. What is already known on this topic?O_LIChildhood vaccination rates in England have declined over the last decade and inequalities in uptake are persistent andwidening. C_LIO_LIChildren in socioeconomically deprived areas are less likely to receive routine vaccinations, reflecting both structural barriers and vaccine hesitancy driven by misinformation and lack of trust. C_LIO_LIInnovative community engagement interventions are recommended to address these inequalities, yet evidence of their effectiveness remains limited. C_LI What this study adds?O_LIOur study shows that hyperlocal community engagement interventions can increase uptake of early-life infant vaccines (rotavirus and 6-in-1) by around 10-12% but provides limited evidence of similar improvements for the MMR vaccine. C_LIO_LIThe observed improvements in infant vaccines were transient, returning to baseline levels after approximately nine months, suggesting that one-off initiatives may not produce sustained public health gains without tackling wider social determinants of health. C_LI

ObjectivesAcute gastroenteritis is a leading cause of pediatric emergency department (ED) visits. While ondansetron reduces vomiting, intravenous rehydration, and hospital admissions, its efficacy when initiated at triage remains unclear. We aimed to evaluate whether triage nurse-initiated administration of ondansetron in children with suspected gastroenteritis reduces the proportion of patients requiring observation following initial physician assessment. MethodsWe conducted a randomized, double-blind, placebo-controlled trial in a tertiary pediatric ED in Canada. Children aged 6 months to 17 years presenting with morae than 3 episodes of vomiting in the preceding 24 hours (including 1 within 2 hours of arrival), were eligible. At triage, we randomized participants to receive liquid ondansetron or a color- and taste-matched placebo. The primary outcome was the proportion of patients requiring observation after the first physician evaluation. Secondary outcomes included post-intervention vomiting, ED length of stay, patient comfort, and 48-hour return visits. The trial was registered at ClinicalTrials.gov (NCT03052361). ResultsRecruitment was stopped prematurely due to the COVID-19 pandemic. Ninety-one participants were randomized to ondansetron (n= 44) or placebo (n= 47). Overall, 40 patients (45%) were discharged immediately after the initial physician assessment, with no difference between the ondansetron and placebo groups (44% vs. 45%; absolute difference -1%, 95% CI: -20% to 19%). No significant differences were observed in all secondary outcomes. ConclusionIn this trial, triage nurse-initiated ondansetron administration did not reduce the need for ED observation in children with presumed gastroenteritis. While being underpowered, this study could inform researchers planning larger clinical trials.

Objective: To compare the characteristics, management and outcomes of neurodivergent (ND) children with neurotypical (NT) children attending a chronic pain clinic. Design: An audit of all patients attending the clinic from 2010-2025 using electronic patient records. Setting: A tertiary pain centre in Scotland. Patients: 724 patients were included in the analysis, 193 (26%) were neurodivergent. Patients were included if they had a documented referral to the pain clinic and attendance to at least one clinic appointment. Patients were excluded if no pain clinic letter could be found on their records. Results: There was a significant increase in the percentage of children with neurodiversity attending the chronic pain clinic compared to neurotypical children (p = 0.004) accounting for over a third of children last seen in the period of 2023-2025. ND children were most likely to present with musculoskeletal pain compared with NT children (p = 0.033) representing over half of all ND children's presentations with pain. ND children were more likely to report being bedbound (18% ND, 13% NT, p = 0.0352) or needing a walking aid (40% ND, 25% NT, p = 0.000) due to chronic pain and had a higher number of referrals (ND median = 18.4, 1QR, NT median = 12.44, IQR10.28 p = 0.000). ND children were more likely to live in areas of deprivation (Cochran-Armitage test, Z -2.15, p = 0.0315). Conclusions: Children with neurodiversity are overrepresented in the chronic pain clinic, and more often present to tertiary services with musculoskeletal pain. They are more likely to have multiple referrals, spend longer with the pain service and less likely to be discharged due to pain improvement. These findings highlight the need for focused strategies to address chronic pain in neurodivergent children. Services should consider how best to identify and support children with neurodiversity and chronic pain. Key Messages {middle dot} What is already known on this topic: While there has been research regarding the role of neurodiversity in pain perception, there are gaps in knowledge regarding the influence of neurodiversity on the development and persistence of chronic pain in children. {middle dot} What this study adds: A growing proportion of neurodiverse children attended the pain clinic. Neurodiverse children presented with more severely impactful pain, they spent a longer duration of time within the pain clinic and were less likely to be discharged due to pain improvement. {middle dot} How this study might affect research, practice or policy: Identifying neurodiverse children as a patient group with distinct requirements may prompt adaptations in chronic pain management practices. This audit provides an initial framework for subsequent research.

BackgroundEvidence to guide the choice of injectable antibiotics and supportive care for children with severe pneumonia is limited and may not reflect changes in epidemiology associated with vaccination and antimicrobial resistance. MethodsIn this pragmatic, open-label, factorial, randomized trial conducted in 16 hospitals in Kenya, children aged 2-59 months with World Health Organization-defined severe pneumonia were assigned to receive one of three injectable antibiotic regimens: benzylpenicillin plus gentamicin (standard care), ceftriaxone, or amoxicillin-clavulanic acid. Eligible children were also randomly assigned to receive nasogastric tube feeding or intravenous fluids. The primary outcome was death from any cause by day 5 after enrollment. ResultsA total of 4393 children underwent randomization to the antibiotic groups, and 1064 to the supportive care groups. By day 5, deaths occurred in 87/1463 children (6.0%) receiving benzylpenicillin plus gentamicin, 82/1458 (5.6%) receiving amoxicillin-clavulanic acid (adjusted risk ratio [aRR], 0.94; 97.5% confidence interval [CI], 0.67 to 1.31), and 81/1462 (5.5%) receiving ceftriaxone (aRR vs. benzylpenicillin plus gentamicin, 0.95; 97.5% CI, 0.68 to 1.33). Death by day 5 occurred in 30/531 children (5.7%) receiving nasogastric tube feeding and 35/532 (6.7%) receiving intravenous fluids (aRR, 1.13; 97.5% CI, 0.71 to 1.79). Secondary outcomes were similar across groups. ConclusionsAmong children hospitalized with severe pneumonia, outcomes with benzylpenicillin plus gentamicin were similar to those with ceftriaxone or amoxicillin-clavulanic acid, and nasogastric tube feeding was similar to intravenous fluids with respect to mortality and safety.

Co-designed research in paediatric HSCT is limited. We sought to determine research priorities which represent the shared priorities of patients, parents, carers, and healthcare professionals (HCP) within Australia, New Zealand, the Netherlands and United Kingdom. An international, multiphase priority-setting methodology was implemented in partnership with the James Lind Alliance and delivered over an 18-month period. Part 1: an international scoping survey asked respondents to submit their research uncertainties related to paediatric HSCT. Part 2: summarising and evidence-checking the submitted uncertainties. Part 3: interim prioritisation survey. Part 4: consensus workshop. In the first international scoping survey, 667 topic ideas were suggested (45% by consumers, 55% by HCP), which were categorized into 80 summary questions. After systematic literature review, 35 summary questions were judged to be true uncertainties (i.e. not answered by existing evidence). These 35 uncertainties were included in a second interim prioritisation survey, completed by 224 participants. From those, a shortlist of 19 questions was drawn. After a multistakeholder workshop, consensus was reached on the top 10 priorities. The PSP identified important research gaps in the management of paediatric HSCT. Priority areas included: implementing personalised medicine approaches, improving immune recovery and adjunct interventions such as exercise, nutrition and microbiome-directed strategies.

BackgroundNeonatal disorders such as post-infectious hydrocephalus exhibit a higher incidence in Africa, where the intricate relationships between genetic ancestry, environmental exposures, and other risk factors likely contribute to the increased incidence. MethodsTo start to characterize the common genetic architecture of Ugandan infants, we analyzed genome sequencing data from 1,030 Ugandan infants recruited from studies targeting neonatal sepsis and hydrocephalus. We employed genetic admixture analysis and integrated geospatial data to examine the relationships between genetic backgrounds and disease prevalence within this cohort. ResultsOur results identified four distinct genetic admixture groups, each correlating strongly with specific geographic distributions across Uganda. Notably, a predominance of one admixture group, most common in northern Uganda, was overrepresented in the participants with post-infectious hydrocephalus. ConclusionThis study underscores the importance of genetic factors in disease manifestation at the population level, and a role for such precision public health approaches in complex neonatal disorders in African populations.

BackgroundWell-child visits (WCVs) are essential for preventive care, yet missed appointments often lead to delayed interventions. We developed and validated models to predict next-visit nonattendance using routine electronic health record data. MethodsUsing data from two Chicago-area pediatric practices, Practice A (1,215 patients; 3,654 visits) and Practice B (1,271 patients; 3,044 visits), we compared regularized logistic regression, random forest, and XGBoost models. Predictors included visit context, prior utilization, and patient characteristics. Models were trained on Practice A and validated on Practice B. ResultsMissed-next-visit rates were 16.2%(A) and 20.7%(B). In external validation, performance was similar across models (AUC 0.66-0.68). At the threshold maximizing F1 score, recall ranged from 0.54-0.71. The LASSO logistic regression model identified six key predictors: timepoint, visit delay, prior no-shows, schedule lead time, new patient status, and immunization refusal. SHAP values confirmed these process measures as among the most influential features across all models. ConclusionPredicting WCV nonattendance is feasible using routine data. A simple logistic regression model performs comparably to complex algorithms, offering a practical pathway for clinical integration. By identifying at-risk families during a current appointment, this may enable clinicians to provide proactive support to support preventive care before a lapse occurs. ImpactO_LIMissed well-child visits are common, leading to an increasing number of preventable acute care visits, delayed recognition of developmental delays, and missed opportunities to initiate early intervention C_LIO_LIA multimodal approach is needed to support well-child visit attendance C_LIO_LIMachine learning is an emerging tool to predict well-child visit no show rates with implications for future interventions to support families at risk for missing well-child visits and promote positive health outcomes C_LI

BackgroundThere are concerns that glucagon-like peptide-1 receptor agonists (GLP1s) increase the risk of acute pancreatitis. MethodsWe searched Medline and clinicaltrials.gov in March 2026 for placebo-controlled randomized trials of semaglutide and tirzepatide reporting the incidence of acute pancreatitis, according to a pre-specified protocol (PROSPERO ID 1346039). The primary analysis used a fixed-effect Mantel-Haenszel odds ratio. Heterogeneity was assessed using Cochrans Q and I-squared. Results1635 studies were found, 31 placebo-controlled trials of which were included, totalling 40,274 patients. There were 59 acute pancreatitis events in GLP1 groups (of 22,841 patients) and 50 in placebo groups (of 17,433 patients). The pooled fixed-effect Mantel-Haenszel odds ratio was 0.99 (95% confidence interval 0.67 to 1.45; p=0.95). Active-treatment exposure totaled 51,346 patient-years, including 47,749 patient-years for semaglutide and 3,598 patient-years for tirzepatide. Sensitivity analysis for risk ratio, and subgroup analysis divided by drug class, disease focus, or dose, did not reveal any significant differences. ConclusionsSemaglutide and tirzepatide were not associated with an increased risk of acute pancreatitis versus placebo. These findings are reassuring, but small differences in risk cannot be fully excluded given the rarity of events. Given the rapidly-evolving nature of this field and the importance of the dataset, this review will be updated as further randomized trials are published.

Background Education outcomes predict life chances. However, poverty, ill-health and disability are barriers to achievement. We examined determinants of academic attainment of children with and without major congenital anomalies in state-funded mainstream schools at ages 11 and 16 (key stages [KS] 2 and 4). Methods and Findings Routinely collected electronic records for children born in Wales 01/01/1998-31/12/2007 until 31/12/2019 were linked in the Secure Anonymised Information Linkage (SAIL) Databank. Education outcomes were explored using logistic regression, adjusting for: anomalies, maternal and child deprivation, prescribing, hospitalisation, gestation length, childs sex, and special education needs (SEN) provision. Children with anomalies were less likely to achieve academic standards: however, attainment was more closely associated with affluence. At age 11, 81.87% (7167/8754) with and 93.80% (232,450/247,814) without anomalies passed (odds ratio [OR] 0.30, 95% confidence intervals [CI] 0.28-0.32). At age 16, 46.76% (2070/4427) with and 56.10% (69,732/124,300) without anomalies achieved 5 General Certificates of Secondary Education (GCSEs) at grades C-A* including English/Welsh, Maths and Science (EWMS) (OR 0.69, 0.65-0.73). Discrepancies narrowed in adjusted analyses, particularly when SEN provision was accounted: aOR 0.72 (0.66-0.78) at KS2, and aOR 0.93, (0.87-1.00) for 5 GCSEs C-A* with EWMS. These GCSEs were achieved by 29.65% (307/1034) children with anomalies and 38.42% (10,875/28,305) of unaffected children in the most deprived quintile{dagger}: in the most affluent quintile, figures were 67.57% (547/810) and 74.98% (16,978/22,644). Children with anomalies, receiving maximum SEN support, eligible for Free School Meals (FSM) were the least successful: 5/192 (2.6%) passed 5 GCSEs C-A* with EWMS, as did 37/354 (10.4%) ineligible for FSM. The strongest associations with these GCSEs were SEN statements (aOR 0.07, 0.06-0.07), FSM eligibility (aOR 0.39, 0.37-0.41), and epilepsy (aOR 0.60, 0.45-0.80). However, data were unavailable for 15-18% of children, mainly those educated outside mainstream schools, and some co-morbidities. Generalisation of findings to other countries rests with readers. Conclusions Many children with anomalies from affluent households succeeded. The children left behind lived with poverty and ill-health from congenital anomalies and/or epilepsy. SEN provision mitigated the impact of disadvantage, but poor children with anomalies were unlikely to succeed. {dagger}taking maternal Welsh Index of Multiple Deprivation (WIMD) 2014 at birth.

Purpose To systematically review population preferences for expanded carrier screening programmes to inform service delivery and health policy. Methods PubMed, CINAHL, and Scopus were searched from 1995 to 2025 on carrier screening for autosomal or X-linked recessive genetic conditions across adult general populations. Included studies elicited preferences on attributes regarding the design or delivery of carrier screening programs. We extracted preferences for each attribute, mapped qualitative findings to these preferences, assessed risk of bias and performed meta-analysis on the willingness-to-pay for screening using Bayesian multilevel modelling. All findings are reported in 2024 USD. Results Thirty one studies, including 16 quantitative, 11 qualitative, and 4 mixed-methods studies were included. Participants expressed preferences for which conditions to include in ECS, joint vs individual screening, the value of information provided before screening, in-person over online counselling, type of healthcare provider, and preconception testing. Willingness-to-pay was right-skewed with 9% of participants not willing to pay any amount, a median of $107 and an interquartile range between $41 and $226. Most studies demonstrated a high risk of bias. Conclusions We report preferences of the general population regarding expanded carrier screening programmes, including suggested amounts for copayment if subsidised by the health system.

BackgroundPreterm births contribute to approximately 35% of neonatal deaths globally, with an estimated 13.4 million infants born prematurely each year. Despite this substantial burden, limited evidence exists on time to discharge and its determinants among preterm neonates admitted to Neonatal Intensive Care Units (NICUs), particularly in rural Ugandan settings. This study aimed to investigate time to discharge and associated factors among preterm neonates admitted to Kiwoko Hospital in Nakaseke District, Uganda. MethodsA retrospective cohort study was conducted using secondary data from Kiwoko Hospital on preterm neonates admitted to the Neonatal Intensive Care Unit (NICU) between 2020 and 2021 (n = 847). The cumulative incidence function was used to estimate the probability of discharge within 28 days of admission, accounting for competing events. A Fine and Gray sub-distribution hazard regression model was fitted to identify factors associated with time to discharge. ResultsOf the 847 preterm admissions, 70.1% were discharged alive within 28 days. The median time to discharge was 14 days. The cumulative incidence of discharge by 28 days was 68%, accounting for competing events. During follow-up, 165 neonates did not complete the 28-day period, including 88 deaths. Factors significantly associated with time to discharge included place of delivery (SHR: 0.62; 95% CI: 0.53-0.73; p<0.001), maternal residence in other districts (SHR: 0.69; 95% CI: 0.48-0.99; p=0.044), extreme preterm (SHR: 0.05; 95% CI: 0.03-0.09; p<0.001), very preterm (SHR: 0.18; 95% CI: 0.14-0.25; p<0.001), moderate preterm (SHR: 0.59; 95% CI: 0.46-0.76; p<0.001), triplet births (SHR: 0.40; 95% CI: 0.23-0.68; p=0.001), 2-4 ANC visits (SHR: 0.70; 95% CI: 0.56- 0.87; p=0.002), [&le;]1 ANC visit (SHR: 0.64; 95% CI: 0.49-0.85; p=0.002), respiratory distress syndrome (SHR: 0.64; 95% CI: 0.48-0.74; p<0.001), and birth trauma (SHR: 2.62; 95% CI: 1.60- 4.29; p<0.001). ConclusionsRespiratory distress syndrome, fewer antenatal care visits, out-of-district residence, and higher degrees of prematurity were associated with prolonged time to discharge among preterm neonates. Strengthening antenatal care utilization and improving access to quality neonatal care in underserved areas may enhance discharge outcomes.

ObjectiveThe decline of the perinatal demise rate is slowing and demises are often unexplained. Significant research has been done regarding diagnostic yield and genetic causes of demise, but little is known about how Geneticist involvement impacts outcomes. The goal of the study was to evaluate post-mortem genetic testing practices and effects of the geneticists involvement. MethodsRetrospective data from 111 perinatal demise cases was examined, including rates of prenatal genetic counseling, post-delivery genetics consult, genetic testing, and autopsy investigation. ResultsIn this cohort 54% received genetic testing and 25% received a genetics consultation. When compared to those without, cases with genetic specialist involvement were associated with significant increases in testing uptake (p=0.007), diagnostic yield (p<0.001), and patient education (p<0.001). Second trimester stillbirths and those with fewer ultrasound (US) abnormalities were less likely to receive genetic testing (both p values <0.001) and consults (p<0.001, p=0.020). ConclusionAlthough ascertainment bias cannot be ruled out, this data demonstrates that geneticist involvement correlates with a higher rate of testing, greater diagnostic yield, and more thorough counseling. These findings underscore the importance of integrating genetics providers into perinatal postmortem healthcare teams. What is already known about this topic?- Causes of perinatal demise often are undiagnosed, but genetic and congenital anomalies are common. - ACOG recommends genetic testing for all perinatal demises What does this study add?- Genetic testing is under-offered and should be offered more frequently. - Genetic specialist involvement is associated with increased patient education, genetic testing uptake, and diagnostic yield - Time and access to genetic specialists may drive testing rate - Non-English language may be associated with decreased consultation rate

ImportanceGuideline-concordant care for young children with attention-deficit/hyperactivity disorder (ADHD) includes recommending parent training in behavior management (PTBM) as first-line treatment. However, assessing guideline adherence through manual chart review is time-consuming and costly, limiting scalable and timely quality-of-care measurement. ObjectiveTo evaluate the accuracy and explainability of large language models (LLMs) in identifying PTBM recommendations in pediatric electronic health record (EHR) notes as a scalable alternative to manual chart review. Design, Setting, and ParticipantsThis retrospective cohort study was conducted in a community-based pediatric healthcare network in California consisting of 27 primary care clinics. The study cohort included children aged 4-6 years with [&ge;] 2 primary care visits between 2020-2024 and ICD-10 diagnoses of ADHD or ADHD symptoms (n=542 patients). Clinical notes from the first ADHD-related visit were included. A stratified subset of 122 notes, including all cases with model disagreement, was manually annotated to assess model performance in identifying PTBM recommendations and rank model explanations. ExposuresAssessment and plan sections of clinical notes were analyzed using three generative large language models (Claude-3.5, GPT-4o, and LLaMA-3.3-70B) to identify the presence of PTBM recommendations and generate explanatory rationales and documentation evidence. Main Outcomes and MeasuresModel performance in identifying PTBM recommendations (measured by sensitivity, positive predictive value (PPV), and F1-score) and qualitative explainability ratings of model-generated rationales (based on the QUEST framework). ResultsAll three models demonstrated high performance compared to expert chart review. Claude-3.5 showed balanced performance (sensitivity=0.89, PPV=0.95, and F1-score=0.92) and ranked highest in explainability. LLaMA3.3-70B achieved sensitivity=0.91, PPV=0.89, and F1-score=0.90, ranking second for explainability. GPT-4o had the highest PPV [0.97] but lowest sensitivity [0.82], with an F1-score of 0.89 and the lowest explainability ranking. Based on classifications from the best-performing model, Claude-3.5, 26.4% (143/542) of patients had documented PTBM recommendations at their first ADHD-related visit. Conclusions and RelevanceLLMs can accurately extract guideline-concordant clinician recommendations for non-pharmacological ADHD treatment from unstructured clinical notes while providing clear explanations and supporting evidence. Evaluating model explainability as part of LLM implementation for medical chart review tasks can promote transparent and scalable solutions for quality-of-care measurement.

ObjectivesThe Australian Children of the Digital Age (ACODA) study is a longitudinal cohort study investigating the digital lives of Australians during early childhood. This paper presents a comprehensive description of the study protocol and overview of childrens digital technology use in the home at the first wave of data collection. MethodsCaregivers of children aged 6-months to 5-years completed a survey that captured the availability and use of digital technology within the home, and child- and caregiver-related factors that may influence childrens digital technology use. ResultsA total of 3,388 caregivers from across all Australian states and territories completed the survey. Majority (98%) of children had digital technology and internet access within their homes. Most children (93%) used at least one device in the last year, with televisions, tablets, and mobile phones most frequently used (89%, 47%, 42%, respectively). Digital technology use started early, with 61% of children aged <1-year having used a television. A greater proportion of older children used devices, and for longer durations than younger children. Across all ages, daily time was longest on televisions (M = 1:20, SD = 1:14), tablets (M = 1:06, SD = 1:36), and mobile phones (M = 0:30, SD = 1:05). Digital technology was used most for entertainment and learning activities, and was used typically with a caregiver and in lounge/living rooms. ConclusionsThe ACODA study is the first longitudinal study to describe the digital technology use of Australians during early childhood and the context of this use. Data indicated that Australian children frequently used digital technology for entertainment and with their caregivers. Also, older children used digital technology more than younger children. Future waves allow for exploration of changes in childrens digital technology use over time, and associations with factors that may influence childrens digital technology use.

Bubble continuous positive airway pressure (bCPAP) is a low-cost respiratory support device that has demonstrated different outcomes for children with severe pneumonia in different settings. Some differences in outcomes may be attributable to implementation factors (e.g., patient monitoring and feeding practices). We aimed to characterize bCPAP reach, implementation fidelity, and safety outcomes for children with severe pneumonia in Pakistan. We conducted a prospective cohort study at Aga Khan University Hospital and Abbasi Shaheed Hospital from February through May 2025. We enrolled children 1-59 months who met WHO criteria for severe pneumonia within 24 hours of presentation to the emergency department. Participants were followed daily via chart review, caregiver survey, and physical exam through discharge, transfer, or death. We reported the proportion of children receiving bCPAP ("reach") and constructed a mixed-effects, multinomial logistic regression model with robust standard errors to report: fidelity (child location in a highly monitored area, continuous monitoring, avoidance of unplanned disruptions to bCPAP, and avoidance of oral feeding); safety (aspiration events and pneumothorax); bCPAP failure (death, respiratory support escalation, or leaving against medical advice); and in-hospital mortality. Of 165 children with severe pneumonia, 88 (53%) received bCPAP over 141 bCPAP days. The average predicted probabilities (95% CI) of our fidelity measures were: 85% (78-92%) for location in a highly monitored area; 56% (51-60%) for continuous monitoring; 66% (57-75%) for continuous bCPAP without disruptions; 46% (36-55%) for avoidance of oral feeding while on bCPAP. Among children receiving bCPAP, 9 (10%) experienced an aspiration event, 1 (2.2%) experienced a pneumothorax; 19 (22%) experienced bCPAP treatment failure. One child (1.1%) died; 6 (6.8%) required respiratory support escalation; 14 (16%) left against medical advice. We identified several gaps in bCPAP reach and fidelity. These may be modifiable by individual-and team-targeted strategies to reduce bCPAP-related complications and pneumonia-related child deaths.

Objective: Readmissions to the PICU are associated with increased morbidity and mortality. A prediction model that can identify children at risk of readmission at the time of transfer can allow providers to intervene and potentially improve patient outcomes. The objective of this study was to derive and validate machine learning models to predict PICU readmission at the time of transfer. Design: Retrospective observational cohort study Setting: Three quaternary care PICUs in the city of Chicago Patients: All children admitted to the PICU between 2012 and 2019. Measurements: The primary outcome was unplanned readmission to the PICU within 48 hours of transfer to the inpatient ward. Predictor variables included vital signs, patient characteristics, and laboratory results. We developed and externally validated four models to predict PICU readmission: logistic regression, elastic net, random forest, and XGBoost. Main Results: This study included 35,601 patients, with readmission rates ranging from 2.2-3.7% by site. The performance of models during internal validation was consistent at the three sites, with the area under the receiver operating characteristic (AUC) values between 0.70 and 0.73 and no difference across the four models. Model performance decreased significantly during external validation (AUCs of 0.60-0.69). The variables most important to the prediction differed at each site. Conclusion: Machine learning models for predicting readmissions to the PICU have limited generalizability. Locally derived models demonstrated modest performance in our study and could potentially inform provider decision-making if prospectively validated. Externally developed models are unlikely to perform well at predicting PICU readmissions.

ObjectivesIt is not known which clinical features optimally differentiate type 1 and 2 diabetes at diagnosis. We aimed to determine which clinical features differentiate adult-onset type 1 and 2 diabetes at diagnosis and develop classification models combining these features with and without islet-autoantibodies. DesignA prospective cohort study with prediction model development and validation. SettingUK primary and secondary care. Participants1800 adults ([&ge;]18 years) diagnosed with diabetes in the previous 12 months, excluding known secondary or monogenic diabetes. Main outcome measuresType 1 and 2 diabetes defined by a combination of insulin treatment and endogenous insulin production (measured using C-peptide) assessed [&ge;]three years after diabetes diagnosis. ResultsEleven clinical features and routinely measured biomarkers discriminated type 1 from type 2 diabetes independently of diagnosis age and BMI. Lower age-at-diagnosis, BMI and waist-hip ratio, unintentional weight-loss, and higher presentation HbA1c or glucose were the most discriminative features, with other features only weakly discriminative. Models integrating clinical features with and without islet-autoantibodies, developed in those age 18-50 years at diabetes diagnosis, had high performance in internal validation (clinical features only: AUCROC (95% CI) 0.94 (0.93, 0.96), clinical features and islet-autoantibodies: AUCROC 0.97 (0.96, 0.98)), and maintained high discrimination in older adults (age >50 at diagnosis; clinical features only: AUCROC 0.93 (0.90, 0.96), clinical features and islet-autoantibodies: AUCROC 0.97 (0.94, 0.99)). Simplifying the models to a point-based score (the StartRight Score) resulted in similar performance. These models had higher performance than current clinical guidance. In UK primary care data models were strongly predictive of outcomes associated with type 1 diabetes, including in those initially treated as type 2 diabetes. ConclusionsLower age-at-diagnosis, BMI, and wait-hip ratio, unintentional weight-loss and high presentation glycaemia are the most discriminative features for diagnosis of type 1 diabetes in adults. Models combining routine clinical features, with or without islet-autoantibodies, have high accuracy and could assist clinical classification and prioritisation of classification biomarker testing. Study registrationhttps://clinicaltrials.gov/study/NCT03737799 Summary boxesO_ST_ABSSection 1: What is already known on this topicC_ST_ABSO_LIMost type 1 diabetes occurs in adults, but differentiating it from type 2 diabetes, which is much more common, is challenging, and misclassification is common. C_LIO_LIAge-at-diagnosis and BMI are currently the only clinical features robustly shown to distinguish between type 1 and type 2 diabetes at diagnosis; many other features included in textbooks and guidelines have little supporting evidence. C_LIO_LIGuideline bodies, including the UK National Institute for Health and Care Excellence (NICE), have identified a need for evidence on what features discriminate type 1 and 2 diabetes in adults, and how these features can be combined to improve diagnosis. C_LI Section 2: What this study addsO_LIThis is the first study to prospectively assess the utility of clinical features for diabetes subtype at diagnosis. C_LIO_LIThe five most discriminative routine clinical features for distinguishing type 1 from type 2 diabetes at diagnosis are age-at-diagnosis, BMI, waist-hip ratio, pre-diagnosis unintentional weight-loss, and presentation glycaemia (HbA1c or glucose). C_LIO_LIMany features included in current guidelines were only very weakly discriminative of subtype, and no single clinical feature was able to adequately differentiate between type 1 and type 2 diabetes alone. C_LIO_LIA clinical prediction model combining ten routinely available clinical features, with or without islet-autoantibodies, as both a prototype calculator and a points-based score (the StartRight Score), had high accuracy in differentiating type 1 from type 2 diabetes and outperforms current clinical guidance and islet-autoantibody assessment alone. C_LI

Aim: To systematically evaluate evidence on the effects of post-discharge early developmental intervention programs (EI) on behavioral development, quality of life, participation, executive functioning, parent-child interaction, and use of medical services from infancy through adolescence in children born preterm. Method: Four bibliographic databases and one trial registry were systematically searched for randomized controlled trials up to April 23, 2024. Two reviewers independently screened studies and extracted data. In clinically and methodologically comparable studies, random-effects meta-analysis were performed. Risk of bias was assessed with the Cochrane RoB 2 tool, and certainty of evidence with the GRADE approach. Results: Twenty-six studies met inclusion criteria, eleven studies including 2,315 preterm born infants reported relevant outcomes, and seven contributed to meta-analyses. Most reported results showed some concerns or high risk of bias; certainty of evidence ranged from very low to moderate across outcomes. EI may offer small benefits for selective attention, behavioral problems and parent-child interaction. Little to no effect was found for special educational needs, language skills, executive functioning and the use of medical services. No included studies evaluated the effect of EI on ADHD, quality of life, or participation related to mobility or leisure activities. Interpretation: EI may improve problems typically seen in preterm children and should be offered especially to those with additional medical or social risk factors. High-quality, contemporary trials are needed to establish reliable clinical recommendations regarding EI strategies and complementary interventions throughout childhood.

Background: 48,XXYY syndrome is a rare sex chromosome aneuploidy (SCA) characterized by neurodevelopmental deficits and medical comorbidities. The limited information available in the literature is almost exclusively limited to postnatally diagnosed cases. This study aims to describe the early medical and developmental features of prenatally identified 48,XXYY infants, with comparisons to 47,XYY, 47,XXY cohorts, and typical populations, as well as previously reported postnatally diagnosed 48,XXYY cases. Methods: The eXtraordinarY Babies Study prospectively follows children prenatally identified to be at high risk for SCA with annual medical and neurodevelopmental evaluations. Data presented herein include the prevalence of medical conditions, developmental milestones, developmental and adaptive functioning assessment scores, and therapy utilization in participants confirmed to have 48,XXYY. Comparisons were made between this cohort and the typical population, infants with 47,XYY and 47,XXY also enrolled in the eXtraordinarY Babies Study, and a 2008 cohort of individuals postnatally identified 48,XXYY. Results: Infants with 48,XXYY exhibited a range of early medical features, including high rates of feeding and GI disorders (breastfeeding difficulties, gastroesophageal reflux, and eosinophilic esophagitis), allergic disorders (food allergies and environmental allergies), and hypotonia. Developmental and adaptive functioning scores indicated delays in motor, communication, and social domains, with nearly all infants receiving speech therapy, physical and/or occupational therapy. Comparisons with the 47,XYY and 47,XXY cohorts revealed more medical and developmental challenges in the 48,XXYY group, however there was variability and some overlap with both the general population and sex chromosome trisomy conditions. Additionally, comparison to the 2008 postnatally identified 48,XXYY cohort indicated that while prenatal diagnosis allowed for earlier intervention, developmental outcomes in the first years of life were similar between the two groups. Conclusions: 48,XXYY diagnosed prenatally facilitates early monitoring, anticipatory guidance, and proactive referrals for medical evaluations and intervention, given developmental delays and medical challenges are more common in infancy and early childhood compared to the general population and trisomy SCAs. These findings provide valuable insights for genetic counselors and healthcare providers, emphasizing the spectrum of medical and developmental findings and importance of early and proactive care to support individual outcomes. Prospective study of this prenatally identified cohort will provide important natural history and phenotypic variability in XXYY, as well as identification of predictors of health and developmental outcomes.