The COVID-19 pandemic significantly disrupted schools and learning formats. Children with epilepsy are at-risk for generalized academic difficulties. We investigated the potential impact of COVID-19 on learning in those with epilepsy by comparing achievement on well-established academic measures among school-age children with epilepsy referred prior to the COVID-19 pandemic and those referred during the COVID-19 pandemic.

This study included 466 children [52% male, predominately White (76%), MAge=10.75 years] enrolled in the Pediatric Epilepsy Research Consortium Epilepsy (PERC) Surgery database project who were referred for surgery and seen for neuropsychological testing. Patients were divided into two groups based on a proxy measure of pandemic timing completed by PERC research staff at each site (i.e., “were there any changes to typical in-person administration [of the evaluation] due to COVID?”). 31% of the sample (N = 144) were identified as having testing during the pandemic (i.e., “yes” response), while 69% were identified as having testing done pre-pandemic (i.e., “no” response). Of the 31% who answered yes, 99% of administration changes pertained to in-person testing or other changes, with 1% indicating remote testing. Academic achievement was assessed by performance measures (i.e., word reading, reading comprehension, spelling, math calculations, and math word problems) across several different tests. T-tests compared the two groups on each academic domain. Subsequent analyses examined potential differences in academic achievement among age cohorts that approximately matched grade level [i.e., grade school (ages 5-10), middle school (ages 11-14), and high school (ages 15-18)].

No significant differences were found between children who underwent an evaluation before the pandemic compared to those assessed during the pandemic based on age norms across academic achievement subtests (all p’s > .34). Similarly, there were no significant differences among age cohorts. The average performance for each age cohort generally fell in the low average range across academic skills. Performance inconsistently varied between age cohorts. The youngest cohort (ages 5-10) scored lower than the other cohorts for sight-word reading, whereas this cohort scored higher than the middle cohort (ages 11-14) for math word problems and reading comprehension. There were no significant differences between the two pandemic groups on demographic variables, intellectual functioning, or epilepsy variables (i.e., age of onset, number of seizure medications, seizure frequency).

Academic functioning was generally equivalent between children with epilepsy who underwent academic testing as part of a pre-surgical evaluation prior to the pandemic compared to those who received testing during the pandemic. Additionally, academic functioning did not significantly differ between age cohorts. Children with epilepsy may have entered the pandemic with effective academic supports and/or were accustomed to school disruptions given their seizure history. Replication is needed as findings are based on a proxy measure of pandemic timing and the extent to which children experienced in-person, remote, and hybrid learning is unknown. Children tested a year into the pandemic, after receiving instruction through varying educational methods, may score differently than those tested earlier. Future research can address these gaps. Although it is encouraging that academic functioning was not disproportionately impacted during the pandemic in this sample, children with epilepsy are at-risk for generalized academic difficulties and continued monitoring of academic functioning is necessary.

Children with epilepsy are at greater risk of lower academic achievement than their typically developing peers (Reilly and Neville, 2015). Demographic, social, and neuropsychological factors, such as executive functioning (EF), mediate this relation. While research emphasizes the importance of EF skills for academic achievement among typically developing children (e.g., Best et al., 2011; Spiegel et al., 2021) less is known among children with epilepsy (Ng et al., 2020). The purpose of this study is to examine the influence of EF skills on academic achievement in a nationwide sample of children with epilepsy.

Participants included 427 children with epilepsy (52% male; MAge= 10.71), enrolled in the Pediatric Epilepsy Research Consortium (PERC) Epilepsy Surgery Database who had been referred for surgery and underwent neuropsychological testing. Academic achievement was assessed by performance measures (word reading, reading comprehension, spelling, and calculation and word-based mathematics) and parent-rating measures (Adaptive Behavior Assessment System (ABAS) Functional Academics and Child Behavior Checklist (CBCL) School Performance). EF was assessed by verbal fluency measures, sequencing, and planning measures from the Delis Kaplan Executive Function System (DKEFS), NEPSY, and Tower of London test. Rating-based measures of EF included the 'Attention Problems’ subscale from the CBCL and 'Cognitive Regulation’ index from the Behavior Rating Inventory of Executive Function (BRIEF-2). Partial correlations assessed associations between EF predictors and academic achievement, controlling for fullscale IQ (FSIQ; A composite across intelligence tests). Significant predictors of each academic skill or rating were entered into a two-step regression that included FSIQ, demographics, and seizure variables (age of onset, current medications) in the first step with EF predictors in the second step.

Although zero-order correlations were significant between EF predictors and academic achievement (.29 < r’s < .63 for performance; -.63 < r’s < -.50 for rating measures), partial correlations controlling for FSIQ showed fewer significant relations. For performance-based EF, only letter fluency (DKEFS Letter Fluency) and cognitive flexibility (DKEFS Trails Condition 4) demonstrated significant associations with performance-based academic achievement (r’s > .29). Regression models for performance-based academic achievement indicated that letter fluency (ß = .22, p = .017) and CBCL attention problems (ß = -.21, p =.002) were significant predictors of sight-word reading. Only letter fluency (ß = .23, p =.006) was significant for math calculation. CBCL Attention Problems were a significant predictor of spelling performance (ß = -.21, p = .009) and reading comprehension (ß = -.18, p =.039). CBCL Attention Problems (ß = -.38, p <.001 for ABAS; ß = -.34, p =.002 for CBCL School) and BRIEF-2 Cognitive Regulation difficulties (ß = -.46, p < .001 for ABAS; ß = -.46, p =.013 for CBCL School) were significant predictors of parent-rated ABAS Functional Academics and CBCL School Performance.

Among a national pediatric epilepsy dataset, performance-based and ratings-based measures of EF predicted performance academic achievement, whereas only ratings-based EF predicted parent-rated academic achievement, due at least in part to shared method variance. These findings suggest that interventions that increase cognitive regulation, reduce symptoms of attention dysfunction, and promote self-generative, flexible thinking, may promote academic achievement among children with epilepsy.

Lifetime trajectories of mental ill-health are often established during adolescence. Effective interventions to prevent the emergence of mental health problems are needed. In the current study we assessed the efficacy of the cognitive behavioural therapy (CBT)-informed Climate Schools universal eHealth preventive mental health programme, relative to a control. We also explored whether the intervention had differential effects on students with varying degrees of social connectedness.

We evaluated the efficacy of the Climate Schools mental health programme (19 participating schools; average age at baseline was 13.6) v. a control group (18 participating schools; average age at baseline was 13.5) which formed part of a large cluster randomised controlled trial in Australian schools. Measures of internalising problems, depression and anxiety were collected at baseline, immediately following the intervention and at 6-, 12- and 18-months post intervention. Immediately following the intervention, 2539 students provided data on at least one outcome of interest (2065 students at 18 months post intervention).

Compared to controls, we found evidence that the standalone mental health intervention improved knowledge of mental health, however there was no evidence that the intervention improved other mental health outcomes, relative to a control. Student's social connectedness did not influence intervention outcomes.

These results are consistent with recent findings that universal school-based, CBT-informed, preventive interventions for mental health have limited efficacy in improving symptoms of anxiety and depression when delivered alone. We highlight the potential for combined intervention approaches, and more targeted interventions, to better improve mental health outcomes.

To investigate associations between multimodal analgesia and post-operative pain among patients undergoing transoral robotic surgery for oropharyngeal squamous cell carcinoma.

Records of patients who underwent surgery from 5 September 2012 to 30 November 2016 were abstracted. Associations were assessed using multivariable analysis.

A total of 216 patients (mean age of 59.1 years, 89.4 per cent male) underwent transoral robotic surgery (92.6 per cent were human papilloma virus positive, 87.5 per cent had stage T1–T2 tumours, and 82.9 per cent had stage N0–N1 nodes). Gabapentin (n = 86) was not associated with a reduction in severe pain. Ibuprofen (n = 72) was administered less often in patients with severe pain. Gabapentin was not associated with increased post-operative sedation (p = 0.624) and ibuprofen was not associated with increased bleeding (p = 0.221). Post-operative opioid usage was not associated with surgical duration, pharyngotomy, bilateral neck dissections, tumour stage, tumour size, subsite or gabapentin.

Scheduled low-dose gabapentin was not associated with improved pain control or increased respiratory depression. Ibuprofen was not associated with an increased risk of bleeding and may be under-utilised.

Atrial septal defects are a common form of CHD and dependent on the size and nature of atrial septal defects, closure may be warranted. The paper aims to compare outcomes of transcatheter versus surgical repair of atrial septal defects.

A comprehensive electronic literature search was conducted. Primary studies were included if they compared both closure techniques. Primary outcomes included procedural success, mortality, and reintervention rate. Secondary outcomes included residual defect and mean hospital stay.

A total of 33 studies were included in meta-analysis. Mean total hospital stay was significantly shorter in the transcatheter cohort across both the adult (95% confidence interval, mean difference −4.05 (−4.78, −3.32) p < 0.00001) and paediatric populations (95% confidence interval, mean difference −4.78 (−5.97, −3.60) p < 0.00001). There were significantly fewer complications in the transcatheter group across both the adult (odds ratio 0.45, 95% confidence interval, [0.28, 0.72], p < 0.00001) and paediatric cohorts (odds ratio 0.26, 95% confidence interval, [0.14, 0.49], p < 0.00001). No significant difference in overall mortality was found between transcatheter versus surgical closure across the two groups, adult (odds ratio 0.76, 95% confidence interval, [0.40, 1.45], p = 0.41), paediatrics (odds ratio 0.62, 95% confidence interval, [0.21, 1.83], p = 0.39).

Both transcatheter and surgical approaches are safe and effective techniques for atrial septal defect closure. Our study has demonstrated the benefits of transcatheter closure in terms of lower complication rates and mean hospital stay. However, surgery still has a place for more complex closure and, as we have demonstrated, shows no difference in mortality.

In this study, we examined the relationship between polygenic liability for depression and number of stressful life events (SLEs) as risk factors for early-onset depression treated in inpatient, outpatient or emergency room settings at psychiatric hospitals in Denmark.

Data were drawn from the iPSYCH2012 case-cohort sample, a population-based sample of individuals born in Denmark between 1981 and 2005. The sample included 18 532 individuals who were diagnosed with depression by a psychiatrist by age 31 years, and a comparison group of 20 184 individuals. Information on SLEs was obtained from nationwide registers and operationalized as a time-varying count variable. Hazard ratios and cumulative incidence rates were estimated using Cox regressions.

Risk for depression increased by 35% with each standard deviation increase in polygenic liability (p < 0.0001), and 36% (p < 0.0001) with each additional SLE. There was a small interaction between polygenic liability and SLEs (β = −0.04, p = 0.0009). The probability of being diagnosed with depression in a hospital-based setting between ages 15 and 31 years ranged from 1.5% among males in the lowest quartile of polygenic liability with 0 events by age 15, to 18.8% among females in the highest quartile of polygenic liability with 4+ events by age 15.

These findings suggest that although there is minimal interaction between polygenic liability and SLEs as risk factors for hospital-treated depression, combining information on these two important risk factors could potentially be useful for identifying high-risk individuals.

The prevalence of congenital heart disease (CHD) in adults is rising necessitating a greater understanding of acquired diseases such as community-acquired pneumonia, which remains a leading cause of age-related mortality and morbidity in the general population. We hypothesise that the CHD population, given cardiopulmonary mechanics and altered immune function, bears a uniquely high risk for pneumonia-related hospitalisations and mortality.

A countrywide cohort study was performed to calculate the relative risk and cumulative incidence of pneumonia hospitalisations and resultant 30-day mortality amongst the adult CHD population, matched 1:10 with non-CHD persons by gender, age, and adjusted for comorbidities. Cox proportional hazard regression quantified the impact of CHD severity and extracardiac defects.

The CHD cohort includes 17,162 adults. The majority demonstrate mild/moderate CHD complexity. The cumulative incidence of pneumonia hospitalisation was higher for adults with CHD (hazard ratio 1.90; 95% confidence interval: 1.74–2.06) than the comparison cohort. This risk was increased for those with extracardiac defects or a syndrome (hazard ratio: 4.34; 95% confidence interval: 3.39–5.54). Additionally, CHD individuals with severe/univentricular subtypes demonstrate a heightened risk compared to the non-CHD cohort (hazard ratio: 2.35; 95% confidence interval: 1.94–2.84), as well as compared to those with mild/moderate CHD (hazard ratio: 1.28; 95% confidence interval: 1.07–1.53). In addition, pneumonia hospitalisation mortality was elevated above the comparison population with a 30-day mortality rate ratio of 1.31 (95% confidence interval: 1.00–1.73).

Adults with CHD are at elevated risk of pneumonia hospitalisations and pneumonia-associated mortality. This risk is further elevated in those with severe CHD and extracardiac defects.

Research in schizophrenia and pregnancy has traditionally been conducted in small samples. More recently, secondary analysis of routine healthcare data has facilitated access to data on large numbers of women with schizophrenia.

To discuss four scientific advances using data from Canada, Denmark and the UK from population-level health registers and clinical data sources.

Narrative review of research from these three countries to illustrate key advances in the area of schizophrenia and pregnancy.

Health administrative and clinical data from electronic medical records have been used to identify population-level and clinical cohorts of women with schizophrenia, and follow them longitudinally along with their children. These data have demonstrated that fertility rates in women with schizophrenia have increased over time and have enabled documentation of the course of illness in relation with pregnancy, showing the early postpartum as the time of highest risk. As a result of large sample sizes, we have been able to understand the prevalence of and risk factors for rare outcomes that would be difficult to study in clinical research. Advanced pharmaco-epidemiological methods have been used to address confounding in studies of antipsychotic medications in pregnancy, to provide data about the benefits and risks of treatment for women and their care providers.

Use of these data has advanced the field of research in schizophrenia and pregnancy. Future developments in use of electronic health records include access to richer data sources and use of modern technical advances such as machine learning and supporting team science.