Archives of Disease in Childhood

Background: Gender-affirming medical care (GAMC) for children and adolescents in Australia has become increasingly politicized, despite care being provided in accordance with latest evidence-based international guidelines. Critics of GAMC claim that current assessment and deliberation processes are insufficient, and that too many young people are accessing medical interventions, no longer identifying as trans, and expressing treatment regret. These claims have led to widespread bans on the provision of paediatric GAMC, despite growing evidence regarding harms caused by such bans. Aim: This study sought to describe the care journeys of the young people attending Australia's largest paediatric gender service, with a focus on reporting the rates at which young people commenced medical interventions, re-identified with their birth-assigned sex, and expressed regret about their treatment. Methods: The Royal Children's Hospital Gender Service (RCHGS) is a statewide service that provides individualised multidisciplinary care to trans and gender diverse young people in Victoria, Australia. An initial extended triage appointment explores the needs and goals of the young person and their family. Some proceed to receive individualised multidisciplinary care (MDC) at RCHGS which can include psychosocial assessment and management, family support, and medical interventions including pubertal suppression (PS) and gender-affirming hormonal therapy (GAHT). We undertook a retrospective file audit of all patients who had attended at least one RCHGS appointment and been discharged between 1/1/2017-31/12/2024. For each person, key data were extracted from their electronic medical record and recorded in REDCap. Results: 1,391 patients were discharged over the 8-year study period and many different care trajectories were observed. 814 (58.5%) did not access ongoing MDC. Of the remaining 577, 353 (25.4% of total cohort) started a medical intervention ((PS: n=64/1391 (4.6%); estradiol: n=97/1391 (7.0%); testosterone: n=244/1391 (17.5%)). For those who started these medical interventions, the median duration and number of sessions from first appointment until commencement of medications was 530 (IQR: 371-693) days and 9 (IQR: 7-13) sessions. 346 of these patients (98.0%) had data on gender identity at discharge and subsequent care pathways. 7 (2.0%) re-identified with their birth-registered sex and stopped treatment: 4 did so after commencing PS (4/61=6.6% of those starting PS), 2 did so after commencing testosterone, and 1 did so after commencing estradiol (3/341=0.9% of those starting GAHT). Just one of these patients, who had been on estradiol for 1 month, expressed treatment regret given concerns about initial breast budding and future fertility. Conclusion: This study highlights varied trajectories of those referred to paediatric gender services, directly challenges claims used to justify restrictions on paediatric GAMC and underscores the importance of a person-centred approach to care.

Background Hospital outpatient departments (OPDs) deliver specialist care at scale, under close scrutiny over waiting times. Interruptions are common in this setting and are linked to error. Little is known about how they cause harm, for whom, and under what conditions. Methods Qualitative study using focus groups and interviews with 42 doctors working in UK National Health Service OPDs (19 sessions, September to November 2025). Participants were purposively sampled by clinical experience and self-reported patient complexity. Data were analysed using the Framework Method, informed by Cognitive Load Theory and Social Identity Theory, with independent double coding of 10% of transcripts (kappa = 0.97) and participant validation. Results We developed four themes. (1) Interruptions as a structural and increasingly ambiguous feature of clinical work. Interruptions were a normal part of clinical coordination, but new communication channels lacked shared norms about urgency, so each doctor had to judge what mattered. (2) The hidden cognitive cost of interruptions. The main cost came from returning to the interrupted task. This cost grew with complexity and was only partly offset by experience. (3) The social fabric of interruption burden. Transient teams weakened the norms that regulate interrupting, and approachability and hierarchy concentrated the burden on particular doctors. (4) The social amplification of cognitive burden. Understaffing multiplied cognitive costs. Doctors used familiarity and track record to decide which requests deserved attention, so concerns from junior or unfamiliar colleagues risked being discounted. Conclusions Interruptions are structural, and their impact depends on cognitive and social conditions. Reducing interruption frequency alone may miss the main risk. Interventions should support task resumption, protect capacity at busy times, rebuild shared communication norms and take account of the receiver's capacity when designing escalation.

Background While overall application volume by ethnic minority doctors into UK postgraduate medical training has expanded significantly, workforce diversity varies substantially across specialties. Previous reports have suggested that doctors from certain ethnic backgrounds and international medical graduates (IMGs) experience lower likelihoods of securing training posts, but granular longitudinal evaluations across all specialty training levels and recruitment stages remained limited. Therefore, this study evaluates longitudinal trends in self-reported ethnicity and country of qualification across postgraduate medical training in England between 2021 and 2025, maps specialty representation, and tests the hypothesis that recruitment success rates differ significantly between ethnic minority and White baseline applicants. Methods We conducted a retrospective national longitudinal analysis of mandatory NHS specialty recruitment data across England from 2021 to 2025, encompassing over 300,000 applications across ST1/CT1 (entry-level) and ST3+ (higher specialty) pathways. Applicants were categorised into census-aligned broad and granular ethnic groups, alongside IMG classifications. Unadjusted odds ratios (ORs) with 95% confidence intervals were calculated using White graduates and internal sub-ethnic baselines as comparators. Specialty-level ecological correlations (Spearman's rho) were performed to evaluate whether international workforce reliance moderated ethnic recruitment disparities. Results Between 2021 and 2025, applicant volume expanded rapidly, with ethnic minority applicants and IMGs comprising numerical majorities. However, Asian and Black applicants experienced substantially lower odds of receiving training offers compared to White baseline applicants across multiple high-volume specialties (e.g., emergency medicine and anaesthetics at ST1, where Black applicants faced multi-fold reductions in success odds: OR 0.03 to 0.05, p<0.001). Granular analyses revealed notable intra-ethnic heterogeneity, including lower success among Pakistani and Bangladeshi applicants compared to Indian applicants. Furthermore, UK graduates maintained higher offer success than IMGs across most specialties. Ecological correlations demonstrated that higher international applicant reliance was moderately and significantly associated with wider recruitment disparities at higher training levels for Black applicants {rho}=-0.43, p=0.019). Conclusions Centralised medical recruitment in England exhibits some persistent ethnic and international qualification disparities despite rising application diversity. The findings highlight the necessity of disaggregating ethnic groups and addressing subjective evaluation vulnerabilities within multi-stage recruitment processes to foster equity. Trial registration: Not applicable

Background: Short birth intervals are a well-documented, modifiable risk factor for child death in low- and middle-income countries, yet nationally representative evidence from Ghana's most recent Demographic and Health Survey has not been fully examined. This study assessed the association between the preceding birth interval and under-five mortality using the 2022 Ghana Demographic and Health Survey. Methods: The analysis used the complete birth history reported by women aged 15-49 years. The cohort comprised births occurring 60-119 completed months (5-10 years) before the survey, which allowed a complete five-year observation window for under-five survival (n = 8,418; 397 deaths). Spacing models were restricted to second-or-higher-order births with a defined preceding interval (n = 6,340; 282 deaths), categorised as under 18, 18-23, 24-35 (reference), 36-47, and 48 or more months. Crude and adjusted odds ratios were estimated using survey-weighted, Taylor-linearised logistic regression, adjusting for birth order, child sex, plurality, maternal age, residence, region, maternal education, wealth quintile, and marital status. Results: Weighted under-five mortality in the cohort was 45.4 per 1,000 live births (4.54%). Among second-or-higher-order births, weighted mortality fell from 9.3% after intervals of under 18 months and 8.0% after 18-23 months to 4.2%, 3.2%, and 3.5% after 24-35, 36-47, and 48 or more months, respectively. Relative to 24-35 months, the adjusted odds of death were higher after intervals of under 18 months (adjusted odds ratio [AOR] 2.58, 95% confidence interval [CI] 1.48-4.49, p < 0.001) and 18-23 months (AOR 2.09, 95% CI 1.33-3.29, p = 0.001); longer intervals did not differ from the reference. Multiple birth (AOR 2.48, 95% CI 1.33-4.63) and having a mother who was never in union (AOR 3.25, 95% CI 1.29-8.17) were also associated with higher odds of death, and marked regional variation persisted after adjustment. Conclusion: A short preceding birth interval, particularly one of under 18 months, was independently associated with an approximately two- to two-and-a-half-fold increase in the odds of under-five death in this nationally representative sample. The findings support continued investment in postpartum family planning to help women space births at least 24 months apart, alongside closer attention to multiple births, unmarried mothers, and the regions carrying the greatest burden.

Background Interruptions are common in hospital outpatient departments (OPDs) and are linked to error. Many are clinically necessary, so the aim is to regulate them. Most interventions target the individual clinician. Little is known about how doctors manage interruptions in practice or what makes their strategies work. Methods Qualitative study using focus groups and interviews with 42 doctors working in UK National Health Service OPDs (19 sessions, September to November 2025). Participants were purposively sampled by clinical experience and self-reported patient complexity. Data were analysed using Framework Analysis, informed by Cognitive Load Theory and Social Identity Theory. Results We developed four themes. (1) Pre-emptive protection of attention. Doctors withdrew, signalled unavailability and set thresholds for interrupting. These depended on colleagues learning and sharing the norm, which staff rotation eroded. (2) Sharing the burden through team coordination. Designated roles and time-limited rotas moved interruptions to colleagues with capacity set aside for them and made interrupting legitimate. (3) Real-time cognitive repair. Doctors asked interrupters to wait while they secured the task, and rebuilt the consultation on return, sometimes with the patient's help. Asking a colleague to wait depended on seniority or team membership; some trainees described difficulty doing this with senior colleagues. (4) Organisational recognition as the precondition for sustainable regulation. Where supervision was built into job plans, the interruptions it generated were expected and doctors held capacity in reserve for them. Advice, vetting and telephone queries were rarely counted as work. Conclusions Each strategy served a cognitive purpose, and social and organisational conditions decided whether it was perceived to work. Interventions could make norms shared and roles explicit, count interruption work in job plans and keep routes open for junior staff to raise concerns. Evaluations should ask who is able to use them.

Objectives To examine the prevalence of interruptions during UK secondary care outpatient consultations, their association with clinician mental workload, and the strategies clinicians use to manage them. Design Nationwide cross-sectional online survey. Setting Secondary care outpatient clinics, United Kingdom. Participants A sample of 465 UK secondary care doctors across a range of grades and specialties, recruited through a medical defence organisation's network. Primary and secondary outcome measures Mental workload (NASA Task Load Index, Raw-TLX); interruption frequency; perceived cognitive impact of interruptions; task resumption difficulty; perceived social effects on colleague interactions and team cohesion; and interruption-management strategy use. Results 61.1% of clinicians reported being interrupted often or very often, and mean overall workload was high (Raw-TLX 66.2, SD 11.5). Interruption frequency, patient complexity and perceived cognitive impact were each associated with higher workload across multiple NASA-TLX subscales. In fully adjusted models, interruption frequency retained independent associations with overall workload (beta = 1.79, p = 0.004) and temporal demand (beta = 0.94, p < 0.001). Task resumption difficulty was associated with worse perceived performance (beta = -0.59, p = 0.014), while perceiving interruptions as socially positive was associated with better performance (beta = 0.75, p = 0.003) and lower frustration (beta = -1.16, p < 0.001). Years of experience showed only small effects, and self-reported strategy use (38.7%) was not consistently associated with lower workload. Exploratory natural language processing of open-text descriptions identified three strategy clusters; cognitive offloading, anticipating and preparing, and blunt responses, with distinct emotional profiles. Conclusions Interruptions were commonly reported during UK secondary care outpatient consultations and were associated with measurable cognitive and temporal burden. The perceived social framing of interruptions was independently associated with frustration and self-rated performance. Binary strategy use showed no consistent workload association, indicating a need for system-level approaches addressing interruption frequency, task resumption support and the social context of interruptions rather than reliance on individual coping.

Background Under-five mortality remains a major public health challenge in Zambia despite substantial reductions over recent decades. Demographic and Health Survey (DHS) data are commonly analysed using Cox proportional hazards models; however, violations of the proportional hazards assumption and unobserved cluster-level heterogeneity may compromise inference. This study compared advanced survival modelling approaches to determine the most appropriate framework for analysing under-five mortality using pooled Zambia DHS data. Methods We conducted a pooled secondary analysis of the 2018 and 2024 Zambia Demographic and Health Survey child recode datasets. The analysis included 9,982 children, among whom 266 died before their fifth birthday. A survey-weighted Cox proportional hazards model was fitted as the reference model and assessed using Schoenfeld residual diagnostics. To address identified methodological limitations, an extended Cox model, a shared-frailty model, and a Bayesian survival model were subsequently fitted. Model performance, assumptions, and the consistency of adjusted hazard ratio estimates were compared across modelling approaches. Results The global Schoenfeld test indicated violation of the proportional hazards assumption ({chi}2=51.26, p=0.002). In the adjusted extended Cox model, male children had higher mortality risk than females (aHR 1.95, 95% CI 1.40-2.73), while children with gestation [&ge;]9 months had lower mortality risk than those with shorter gestation (aHR 0.21, 95% CI 0.14-0.32). Average and large birth size were associated with lower mortality compared with small birth size (aHR 0.47, 95% CI 0.34-0.66 and aHR 0.57, 95% CI 0.39-0.84, respectively). Newborn health checks before discharge were associated with lower mortality (aHR 0.50, 95% CI 0.38-0.66), as was any antenatal care (aHR 0.25, 95% CI 0.09-0.75). A high-risk fertility pattern involving fourth or higher births with an interval [&ge;]24 months was also associated with lower mortality (aHR 0.57, 95% CI 0.41-0.80). The shared-frailty model produced similar estimates, including increased mortality among male children (aHR 1.39, 95% CI 1.08-1.78) and twins or multiple births (aHR 2.74, 95% CI 1.36-5.53). Bayesian estimates were broadly consistent with the extended Cox model. Conclusions Advanced survival models provided a more robust analytical framework than the conventional Cox model for evaluating under-five mortality in nationally representative DHS data. While the extended Cox model accommodated time-varying effects, the shared-frailty model captured unobserved cluster-level heterogeneity, and the Bayesian model confirmed the stability of parameter estimates. Incorporating these complementary approaches can improve the validity of survival analyses and strengthen evidence for child survival research and policy in low- and middle-income settings.

Introduction: The TREOCAPA (Prophylactic TREatment Of the duCtus Arteriosus in Preterm infants by Acetaminophen) trial was a pan-European, multi-centre, phase II/III trial investigating the impact of prophylactic paracetamol (also known as acetaminophen) given during the first 5 days of life for children born before 29 weeks' gestational age (GA) on survival to 36 weeks' post-menstrual age without severe neonatal morbidities. However, due to time restrictions, long-term follow-up was not planned as part of the initial trial despite recommendations for neonatal trials to include endpoints measuring efficacy after discharge from the neonatal unit and on-going debate about the long-term effects of paracetamol in the neonatal period. This protocol describes a study to follow-up participants in the TREOCAPA trial at 2 years corrected age initiated after the trial's onset. Methods and analysis: The TREOCAPA Long Term (TREOCAPA-LT) study population consists of all children included in the TREOCAPA phase III trial in centres in countries participating in the follow-up study who are aged between 23.5 and 27.5 months corrected age during the study period. Families are contacted by the clinical teams and a parent or guardian is invited to complete an internet-based (online) questionnaire. The primary outcome is cognition, as measured by the non-verbal Cognitive Scale standard score from the Parent Report of Children's Abilities-Revised (PARCA-R) questionnaire. Secondary outcomes are moderate to severe neurodevelopment, health service use and costs. Data will be analysed according to the study groups to which children were randomised in the original TREOCAPA RCT. Ethics and Dissemination: The TREOCAPA-LT protocol was first approved by ethics' committees in France (the study's sponsor) and subsequently by all participating countries. Results from TREOCAPA-LT will be published in open access journals in accordance with the funder's regulations. Registration: https://clinicaltrials.gov/study/NCT06064825

Objective: to estimate reconsultation risk and trajectories after a new episode of musculoskeletal pain in children and young people (CYP), and to determine routinely recorded prognostic factors associated with reconsultation. Design: Population based retrospective cohort study. Setting: Clinical Practice Research Datalink (CPRD) Aurum, 2005-2021. Participants: CYP aged 8-18 years consulting primary care for a new musculoskeletal pain episode (no musculoskeletal consultation in prior 12-months). Main Outcome Measures: Musculoskeletal pain reconsultation within 12-months, and 3-year musculoskeletal reconsultation trajectories derived using latent class growth analysis. Prognostic factors selected from a literature search and two-year symptom histories (sample prevalence >1%) were examined using regression models (conditional logistic; multinomial). Results: Among 313,830 CYP with >12 months' follow-up, 32% reconsulted for musculoskeletal pain within 12 months. Among 240,384 CYP with >3 years' follow-up, three trajectories were observed: single episode (62%), early reconsultation (18%), and persistent reconsultation (20%). Older age; female gender; hip, knee, multisite and back pain on index; previous headache; previous abdominal pain; and analgesic prescribing were associated with higher reconsultation risk. Asian or Black ethnicity, and residing in more deprived areas, were associated with lower recorded reconsultation. Conclusion: Most CYP had no further recorded consultation, but 38% followed early or persistent reconsultation trajectories. Routinely recorded prognostic factors, particularly index pain side and prior pain/symptom history, may differentiate groups who could benefit from proactive follow-up. Lower recorded reconsultation among Asian and Black individuals, and living in more deprived areas, should not imply lower need and warrants equity-sensitive monitoring of access, health-seeking, and coding.

Background: Vitamin B12 is essential for one-carbon metabolism, deoxyribonucleic acid (DNA) synthesis, and myelination, and inadequate maternal status during pregnancy may influence fetal growth and child neurodevelopment. Objective: To evaluate the association between maternal vitamin B12 status and perinatal and child neurodevelopmental outcomes. Methods: We conducted a systematic review and meta-analysis of observational studies and randomized clinical trials. The main outcomes were preterm birth, low birth weight, small for gestational age (SGA), and cognitive/global development. For binary outcomes, the natural logarithm of the relative risk (logRR) was the primary analytical effect measure; for neurodevelopment, Hedges g was used. Random-effects models were fitted, between-study variance was estimated by restricted maximum likelihood (REML), and inference used Knapp-Hartung (KH) adjustment. Results: For preterm birth, nine estimates yielded a pooled logRR of 0.190 (95% confidence interval [95% CI] KH: -0.046 to 0.427; p = 0.101; I2 = 19.2%). For low birth weight, nine estimates yielded a pooled logRR of 0.136 (95% CI KH: -0.013 to 0.286; p = 0.069; I2 = 4.8%). For SGA, six estimates yielded a pooled logRR of 0.047 (95% CI KH: -0.083 to 0.177; p = 0.397; I2 = 0%). Cognitive/global development, assessed in five independent studies, showed a pooled Hedges g of 0.266 (95% CI KH: 0.034 to 0.499; p = 0.034; I2 = 55.7%). Conclusions: logRR estimates for preterm birth and low birth weight were directionally compatible with higher risk among mothers with lower vitamin B12 availability, but their 95% CIs included the null. No consistent association was observed for SGA. Higher maternal vitamin B12 availability or supplementation was associated with a small favorable effect on cognitive/global development, with moderate heterogeneity.

Background Population-level administrative data cohorts hold huge potential for generating evidence to improve child health. Understanding the quality of these data is critical to enabling us to fully realise this potential. We aimed to evaluate linkage between children's health, education and social care administrative records (ECHILD) to identify possible sources of bias. Methods We created four cohorts to understand the drivers of inclusion/exclusion within ECHILD. For each cohort, we calculated the linkage rate by counting the total number of eligible individuals who appeared in the ECHILD linkage spine and any of the corresponding hospital/school component datasets. We then assessed whether linkage rates varied according to sociodemographic characteristics (year of birth, sex, ethnicity, region). Results ECHILD currently captures 34.2 million patients and 25.3 million pupils born between September 1984 and March 2023, aged 0-38 years. Over 90% of children with hospital birth records linked to a school record (rising to 93% for those born from 2014 onwards); 88% of children attending school in 2001/02 linked to a patient record (rising to 96% for those born in 2019/20), resulting in a total of 21 million linked individuals. Substantial variation existed between sociodemographic groups, with those living in London, residing in more deprived areas, or with recorded ethnicity other than White being less likely to be included. Conclusions Population-level datasets such as ECHILD often under-represent specific groups. Irrespective of the mechanisms by which individuals are excluded (e.g. opt outs, linkage errors or not interacting with services), those in minoritised ethnic groups and those living in more deprived areas are most affected. Linkage evaluations are critical for understanding who is and who is not included in analyses of these data so that researchers can account for potential sources of bias within analyses.

Perinatal asphyxia is a leading cause of neonatal death in Mozambique and the main cause of early neonatal death in the referral hospitals of Gaza Province. Where blood gas analysis is unavailable, a low five-minute Apgar score remains a key marker of intrapartum compromise. This study aimed to identify maternal, obstetric, fetal and institutional factors associated with a low five-minute Apgar score at Xai-Xai Provincial Hospital, Mozambique. We conducted a secondary analysis of the records of 471 newborns delivered between January 2016 and December 2018, drawn from a matched case-control study of early neonatal death. The outcome was a five-minute Apgar score below 7. Associations were estimated with bivariate and multivariable conditional logistic regression and are reported as odds ratios with 95% confidence intervals. Of the 471 newborns, 76 (16.1%) had a low five-minute Apgar score. In the multivariable model, a gestational age of 42 weeks or more (adjusted odds ratio 4.04; 95% confidence interval 1.18-13.82) and ruptured membranes on admission (adjusted odds ratio 3.69; 95% confidence interval 1.37-9.96) were associated with higher odds of a low score, whereas partograph use during labour was associated with lower odds (adjusted odds ratio 0.07; 95% confidence interval 0.01-0.31). The association with preterm birth was attenuated after adjustment for birth weight. Post-term birth and ruptured membranes on admission were associated with a low five-minute Apgar score, and partograph use with lower odds. Because the sample was drawn from a study of early neonatal death, these associations should be confirmed in unselected birth cohorts. They nonetheless support strengthening intrapartum monitoring in Mozambican referral maternities.

PurposeTo examine the association between BMI-for-age z-score (BAZ) and BMI status with refractive error prevalence, incidence, subtypes, and quantitative refraction in Vietnamese schoolchildren. MethodsWe retrospectively analyzed body mass index and refractive error data from annual school health checks in three Vietnamese cities, 2022 to 2024. The main analysis set was restricted to children age 6 and older (49,415 examinations, 31,522 children). Refractive error subtypes and quantitative refraction came from a Hanoi autorefractor sub-cohort (13,059 examinations). We used sex-stratified Poisson models with generalized estimating equations, adjusted for age, city, and year, plus linear mixed models for quantitative outcomes. ResultsAny refractive error followed a U shaped curve across BAZ in both sexes, significant in girls (prevalence ratio 1.01 per 1-SD BAZ, p = 0.027) but not boys (p = 0.099). Obesity was associated with higher any refractive error prevalence in girls (adjusted prevalence ratio 1.05, p = 0.017). Astigmatism was associated with BAZ in both sexes (p < 0.001), anisometropia in boys only (p < 0.001), with no association for myopia or hyperopia. Spherical equivalent shifted slightly toward hyperopia, not myopia, with higher BAZ. A supplementary check over 1 to 2 years found no evidence that prior BAZ predicted new refractive error onset (prevalence ratio 1.02, p > 0.6 in both sexes), and the nonlinear pattern did not reappear. ConclusionsAdiposity relates cross-sectionally to refractive error in a nonlinear, sex specific way concentrated in astigmatism and anisometropia rather than myopia, though this did not hold up short term.

Background Temperature instability during neonatal transport contributes to adverse outcomes in preterm and low birth weight infants. Hypothermia in this population is associated with increased risk of intraventricular haemorrhage (IVH), sepsis, and death. Current transport temperature management is reactive and manually controlled. The Heating On Transport WitH prEtErm and Low birth weight neonates using Servocontrol patient temperature management system (HOTWHEELS) trial aims to determine whether automated, servo-controlled thermoregulation provides superior thermal stability compared to standard care and reduces hypothermia-associated adverse outcomes. Methods This prospective, randomised, superiority trial is conducted by the Newborn Emergency Transport Service of Western Australia. Infants with a gestational age of less than or equal to 34 weeks and/or weight of 1500 g requiring transport are randomised to serve-controlled or standard thermal care. The primary outcome is the proportion of infants with a temperature between 36.5 and 37.5 degrees Celsius on arrival at the receiving neonatal unit. Secondary outcomes include the incidence of IVH in the first 7 days, mortality before discharge, the incidence of moderate (<36.0) and severe (<35.0) hypothermia for greater than 15 minutes and the temperature change during transport. Trial registration: ANZCTR12624000503527. Impact HOTWHEELS is the first randomised trial in neonatal transport to evaluate servo-controlled temperature control. We believe the findings will inform standards of temperature control during transport for preterm and low birth weight infants.

Background: Vitamin D modulates innate and adaptive immunity and has been investigated for preventing pediatric respiratory infections. Objective: To assess the effects of vitamin D supplementation on respiratory tract infections (RTIs), including upper RTIs, lower RTIs/recurrent pneumonia, and hospitalization/clinical severity in children and adolescents. Methods: Systematic review and random-effects meta-analysis of 16 publications, of which 13 contributed to quantitative synthesis. Twenty-four effect estimates were pooled, eight per outcome. The odds ratio (OR) was analyzed on its natural logarithmic scale (logOR), using restricted maximum likelihood (REML) estimation and Knapp-Hartung (KH) adjusted inference. Where necessary, risk ratios (RRs), hazard ratios (HRs), and incidence rate ratios (IRRs) were approximated on the logOR scale. Results: For respiratory infection/upper RTI, pooled logOR was -0.284 (KH-adjusted 95% confidence interval [CI]: -0.678 to 0.110; OR 0.753; p = 0.132; I2 = 97.2%). For lower RTI/recurrent pneumonia, logOR was -0.445 (95% CI: -0.987 to 0.097; OR 0.641; p = 0.093; I2 = 89.5%). For hospitalization/clinical severity, logOR was -0.609 (95% CI: -1.134 to -0.083; OR 0.544; p = 0.029; I2 = 78.3%). Conclusions: Pooled estimates favored supplementation in direction for all three groups, although confidence intervals included the null for the first two. Heterogeneity was substantial, and the results are limited by approximations among effect measures, clinically diverse endpoints, and potentially correlated effects from individual studies.

Background: Genetic conditions are common in congenital heart disease (CHD) and affect care, but are often missed or diagnosed late. We asked whether routine clinical data can shortlist the most likely genetic conditions. Methods: Retrospective single-center cohort of children with CHD and an echocardiogram who had either a confirmed genetic diagnosis or negative cytogenetic testing and CHD gene sequencing. Echocardiogram images and serial medical record data were added as model inputs in the order they become clinically available. Class balanced logistic regression (LR) and a multimodal deep learning fusion network were fitted to the same inputs at each step. The primary metric was balanced top-3 accuracy (correct diagnosis among the top three, averaged across conditions), with bootstrap intervals. Results: The cohort included 1,720 children (988 with common CHD-associated genetic conditions, 231 rare diagnoses, 501 negative testing). Using only inputs generated at the echocardiogram visit, LR reached a balanced top-3 accuracy 0.758 (chance 0.429). Serial records, radiology notes and ICD-10 codes, raised this to 0.809. Multimodal fusion performed similarly at each stage. With a genetic condition withheld from training, the fusion embedding placed affected children nearest to others sharing a gene group in 0.37 of cases versus 0.10 without the embedding (+0.268 [95% CI +0.242, +0.295]). Conclusions: Routine clinical data available at first echocardiogram can help identify likely genetic diagnoses, and later coded inputs ceiling. Multimodal fusion added no accuracy over LR, but places children sharing a genetic cause near one another, making nearest-neighbor retrieval informative for undiagnosed children.

Background Adverse childhood experiences are major determinants of mental disorders, health-risk behaviours and non-communicable diseases across the life course, but evidence from India remains limited. This study aims to estimate the prevalence and patterns of adverse childhood experiences among Indian adolescents, examine their associations with mental health and non-communicable disease risk factors, and evaluate a culturally adapted school-based intervention integrating trauma-informed care and social-emotional learning. Methods A sequential mixed-methods study will be conducted among approximately 1,632 adolescents in 16 public and private schools in Chandigarh and Mohali, India. Phase I is a cross-sectional survey of adverse childhood experiences, mental health, perceived stress, sleep, screen time and behavioural and biological risk factors for non-communicable diseases. Phase II comprises focus group discussions and key informant interviews with students, parents, teachers, counsellors and mental health professionals to inform intervention development. In Phase III, findings from both phases will guide development of the intervention using the ADDIE (Analysis, Design, Development, Implementation and Evaluation) instructional design framework. In Phase IV, adolescents reporting ACE exposure will participate in a school-based intervention delivered over 8-12 weeks by trained psychologists, comprising trauma-informed social-emotional learning sessions, individual counselling sessions for high-risk adolescents (at least six sessions), school-wide awareness activities and parental sensitization. Effectiveness will be evaluated using a quasi-experimental pre-post design. The primary outcome will be change in emotional and behavioural difficulties measured by the Strengths and Difficulties Questionnaire (SDQ). Secondary outcomes will include changes in depressive symptoms (Patient Health Questionnaire-9), perceived stress, sleep quality, school functioning, and behavioural risk factors for NCDs. Recruitment began in April 2026 and is ongoing; data collection is expected to be complete by June 2028, and no results have yet been generated.

Background Neonatal sepsis remains a major cause of neonatal morbidity and mortality, particularly in low- and middle-income countries. Its management is increasingly complicated by antimicrobial resistance (AMR), while limited facility-specific data on causative bacterial pathogens and susceptibility patterns often necessitate empirical antibiotic treatment. This study assessed the prevalence of neonatal sepsis, bacterial pathogens and antimicrobial resistance patterns, and maternal, neonatal and clinical factors associated with neonatal sepsis among neonates admitted to the Neonatal Intensive Care Unit (NICU) at Livingstone University Teaching Hospital (LUTH), Zambia. Methods A retrospective cross-sectional record review was conducted among neonates admitted to the NICU at LUTH from 2020 to 2025. A total of 150 neonatal records were analysed. Neonatal, maternal, clinical, blood culture and antimicrobial susceptibility data were analysed using descriptive statistics, chi-square tests and logistic regression. Missing information was treated as missing and was not imputed; denominators were reported according to the records available for each analysis. Results Neonatal sepsis was identified in 52/150 neonates, giving a prevalence of 34.7% (95% CI: 27.5%-42.6%). Among the 52 sepsis cases, 20 had positive blood cultures, corresponding to a culture positivity rate of 38.5% (95% CI: 26.5%-52.0%); this represented 13.3% of the full study sample. Maternal fever during labour (aOR=6.822; 95% CI: 2.032-22.905; p=0.002) and caesarean delivery (aOR=2.245; 95% CI: 1.050-4.801; p=0.037) were independently associated with neonatal sepsis, while increasing birth weight was protective (aOR=0.891 per 100 g; 95% CI: 0.817-0.973; p=0.010). Escherichia coli was the most frequent isolate (5/20; 25.0%), followed by Klebsiella pneumoniae (4/20; 20.0%) and Staphylococcus aureus (4/20; 20.0%). Resistance was highest to ampicillin (15/19; 78.9%), followed by gentamicin and ceftriaxone (10/19; 52.6% each), while all 19 isolates tested against meropenem were susceptible. Conclusion The findings indicate that empirical management of neonatal sepsis at LUTH should be informed by local microbiological surveillance rather than reliance on historical first-line susceptibility assumptions. Routine blood culture and susceptibility testing, a regularly updated facility antibiogram, strengthened infection prevention and antimicrobial stewardship are required to improve treatment decisions and preserve effective antibiotics. Interpretation should consider the retrospective single-centre design, incomplete routine records and the small number of culture-positive isolates.

Objectives: Using a nationally representative database of U.S. hospitalizations, we aimed to (1) characterize contemporary trends in hypoxic-ischemic encephalopathy (HIE) prevalence by severity, therapeutic hypothermia (TH) utilization, and associated in-hospital mortality; and (2) examine the association between TH and mortality by HIE severity and gestational age (GA), focusing on 35- and 36-weeks GA. Methods: We analyzed newborn hospitalizations from the National Inpatient Sample, 2016-2023. Unspecified, mild, moderate, and severe HIE were identified using ICD-10-CM diagnosis codes P91.60-P91.63; and 35- and 36-weeks GA using codes P07.38-P07.39. TH was identified using ICD-10-PCS codes 6A4Z0ZZ and 6A4Z1ZZ. Survey-weighted multivariable generalized linear models with marginal standardization were used to estimate adjusted mortality risk differences (RD) with surprisal (S) values, and assess whether associations between TH and mortality differed by HIE severity across GA strata. Results: Among 29,767,238 hospital discharges, HIE was identified in 66,535 neonates (2.24 per 1,000), and TH used in 19.2% of HIE cases. In-hospital mortality was 9.74% among all HIE cases and 6.65% among TH-treated neonates. From 2016-23, HIE prevalence nearly doubled (1.58 to 3.01 per 1,000; p-for-trend <0.001) and TH utilization more than doubled (0.33 to 0.74 per 1,000; p-for-trend <0.001), while TH use as a proportion of HIE remained stable (17.8%-20.8%; p-for-trend=0.39). HIE severity distribution was: mild (15%), moderate (29.4%), severe (18.3%), and unspecified (37.3%), with moderate HIE increasing over time (22.3%-33.5%). Crude mortality was consistently highest for severe HIE (range: 33.65%-35.25%). Among infants with severe HIE, TH was associated with reduced mortality overall (RD -10.12%; 95% CI -14.86, -5.39; p<0.001; S=15.12), and specifically at 36-weeks GA (RD -21.98%; 95% CI -35.85, -8.12; p=0.002; S=9.06), but not at 35-weeks (RD -1.83%; 95% CI -21.2, 17.55; p=0.86; S=0.22). Conclusions: TH was associated with mortality reduction in severe HIE overall and at 36-weeks GA, but this benefit remains uncertain at 35-weeks GA.

Youth are increasingly engaging with generative AI beyond its use as a productivity tool, with a growing share turning to AI for social interaction and emotional support. This leads to unknown risks for their well-being and development. Online community discussions reveal that youth already perceive risks that caregivers have not recognized.