Guidelines recommend screening for psychiatric co-morbidities in patients with congenital heart defects alongside cardiac outpatient follow-ups. These recommendations are not implemented in Denmark. This study aimed to investigate the psychiatric co-morbidities in children and adolescents with Fontan circulation in Denmark and to evaluate the feasibility of an online screening measure for psychiatric disorders.

Children, adolescents, and their families answered the Development and Well-Being Assessment questionnaire and a questionnaire about received help online. Development and Well-Being Assessment ratings present psychiatric diagnoses in accordance with ICD-10 and DSM-5. Parent-reported received psychiatric help is also presented. Feasibility data are reported as participation rate (completed Development and Well-Being Assessments) and parental/adolescent acceptability from the feasibility questionnaire.

The participation rate was 27%. Of the participating children and adolescents, 53% (ICD-10)/59% (DSM-5) met full diagnostic criteria for at least one psychiatric diagnosis. Of these, 50% had not received any psychiatric or psychological help. Only 12% of participants had an a priori psychiatric diagnosis.

We found that a large proportion of children and adolescents with Fontan circulation are underdiagnosed and undertreated for psychiatric disorders. The results from our study emphasise the need for psychiatric screening in this patient group. Development and Well-Being Assessment may be too comprehensive for online electronic screening in children and adolescents with CHD.

We aimed to compare and link the total scores of the Mini-Mental State Examination (MMSE) and Montreal Cognitive Assessment (MoCA), two common global cognitive screeners.

2,325 memory clinic patients (63.2 ± 8.6 years; 43% female) with a variety of diagnoses, including subjective cognitive decline, mild cognitive impairment, and dementia due to various etiologies completed the MMSE and MoCA concurrently. We described both screeners, including at the item level. Then, using linear regressions, we investigated how age, sex, education, and diagnosis affected total scores on both instruments. Next, in linear mixed models, we treated the two screeners as repeated measures and analyzed the influence of these characteristics on the relationship between the instruments’ total scores. Finally, we linked total scores using equipercentile equating, accounting for relevant patient characteristics.

MMSE scores (mean ± standard deviation: 25.0 ± 4.6) were higher than MoCA scores (21.2 ± 5.4), and MMSE items generally showed less variation than MoCA items. Both instruments’ scores were individually influenced by age, sex, education, and diagnosis. The relationship between the screeners was moderated by age (estimate = −0.01, 95% confidence interval = [−0.03, −0.00]), education (0.14 [0.10, 0.18]), and diagnosis. These were accounted for when producing crosswalk tables based on equipercentile equating.

Accounting for the influence of patient characteristics, we created crosswalk tables to convert MMSE scores to MoCA scores, and vice versa. These tables may facilitate collaboration between clinicians and researchers and could allow larger, pooled analyses of global cognitive functioning in older adults.

To quantify the proportion of referrals sent to Crumlin Cardiology Department for cardiac screening prior to commencement or modifying attention deficit hyperactivity disorder medication and assess the number detected with a clinically significant abnormality.

A prospective audit was performed over a 6-month period, from November 2021 to April 2022 inclusive. Referrals sent via outpatient department triage letters, electrocardiogram dept. email, and walk-in electrocardiogram service were screened for those pertaining to commencing or modifying medication for children with attention deficit hyperactivity disorder. Each referral was coded against National Institute for Health and Care Excellence guidelines to determine the degree of clinical details given. Reported abnormalities, recommended management, and correspondence were recorded.

Ninety-one referrals were received during the 6-month audit period. More than half lacked a clinical indication for referral (53/91, 58.2%), with fewer than one third (26/91, 28.5%) meeting National Institute for Health and Care Excellence criteria for referral for cardiology. Eighty (80/91) referrals had clinical outcomes available for review (missing outpatient department information and age outside of service range accounted for eleven referrals with unavailable clinical outcomes). Of the eighty clinically reviewed referrals, seventy-two (72/80, 90%) were reported as normal with no cardiology follow up required. Eight referrals (8/80, 10%) were reviewed in the Cardiology Outpatient Department prior to commencement or modifying attention deficit hyperactivity disorder medication. Of these, only one (1/80 1%) had a clinically significant abnormality which was a potential contraindication to attention deficit hyperactivity disorder medication use, and this referral was appropriate as per National Institute for Health and Care Excellence guidelines.

Routine screening prior to attention deficit hyperactivity disorder medication prescription in the absence of clinical indications (as per National Institute for Health and Care Excellence) contributed to delays in medication initiation among young people with attention deficit hyperactivity disorder. Unnecessary referrals have resource implications for cardiology clinical team. Improved adherence to National Institute for Health and Care Excellence guidelines would provide benefits for patients and clinicians.

Social determinants of health (SDOH) can contribute to disparities that negatively impact health outcomes and healthcare utilization. Comprehensive screening is frequently overlooked during inpatient clinical care. This pilot aimed to evaluate the capturability of a multi-domain SDOH screening tool during hospitalization, as well as correlation of SDOH needs to readmissions.

The Protocol for Responding to and Assessing Patients’ Assets, Risks and Experiences (PRAPARE) screening tool was implemented on admission with adult inpatients at an academic tertiary medical center in central Pennsylvania. A total of 80 patients were screened over an 8-week period using the PRAPARE tool.

43.7% of participants were identified as having at least one SDOH need and 21.2% were identified as having two or more needs. Of the participants identified as having at least one SDOH need through PRAPARE screening, 42.5% experienced a readmission within 30 days, compared to 15% readmissions among participants with no identified SDOH needs. For each additional SDOH need a patient had, the odds they experienced a readmission increased by 2.2 times.

The study findings suggest that utilization of the PRAPARE screening tool has the ability to capture significant SDOH needs among hospitalized patients. This study also suggests that higher SDOH needs correlate to increased odds of experiencing a hospital readmission.

Obstructive sleep apnea (OSA) is associated with worse outcomes in stroke, Alzheimer’s disease (AD) and Parkinson’s disease (PD), but diagnosis is challenging in these groups. We aimed to compare the prevalence of high risk of OSA based on commonly used questionnaires and self-reported OSA diagnosis: 1. within groups with stroke, AD, PD and the general population (GP); 2. Between neurological groups and GP.

Individuals with stroke, PD and AD were identified in the Canadian Longitudinal Study of Aging (CLSA) by survey. STOP, STOP-BAG, STOP-B28 and GOAL screening tools and OSA self-report were compared by the Chi-squared test. Logistic regression was used to compare high risk/self-report of OSA, in neurological conditions vs. GP, adjusted for confounders.

We studied 30,097 participants with mean age of 62.3 years (SD 10.3) (stroke n = 1791; PD n = 175; AD n = 125). In all groups, a positive GOAL was the most prevalent, while positive STOP was least prevalent among questionnaires. Significant variations in high-risk OSA were observed between different questionnaires across all groups. Under 1.5% of individuals self-reported OSA. While all questionnaires suggested a higher prevalence of OSA in stroke than the GP, for PD and AD, there was heterogeneity depending on questionnaire.

The wide range of prevalences of high risk of OSA resulting from commonly used screening tools underscores the importance of validating them in older adults with neurological disorders. OSA was self-reported in disproportionately small numbers across groups, suggesting that OSA is underdiagnosed in older adults or underreported by patients, which is concerning given its increasingly recognized impact on brain health.

Most evidence supporting screening for undernutrition is for children aged 6–59 months. However, the highest risk of mortality and highest incidence of wasting occurs in the first 6 months of life. We evaluated relationships between neonatal anthropometric indicators, including birth weight, weight-for-age Z-score (WAZ), weight-for-length Z-score (WLZ), length-for-age Z-score (LAZ) and mid-upper arm circumference (MUAC) and mortality and growth at 6 months of age among infants in Burkina Faso.

Data arose from a randomised controlled trial evaluating neonatal azithromycin administration for the prevention of child mortality. We evaluated relationships between baseline anthropometric measures and mortality, wasting (WLZ < –2), stunting (LAZ < –2) and underweight (WAZ < –2) at 6 months of age were estimated using logistic regression models adjusted for the child’s age and sex.

Five regions of Burkina Faso.

Infants aged 8–27 d followed until 6 months of age.

Of 21 832 infants enrolled in the trial, 7·9 % were low birth weight (<2500 g), 13·3 % were wasted, 7·7 % were stunted and 7·4 % were underweight at enrolment. All anthropometric deficits were associated with mortality by 6 months of age, with WAZ the strongest predictor (WAZ < –2 to ≥ –3 at enrolment v. WAZ ≥ –2: adjusted OR, 3·91, 95 % CI, 2·21, 6·56). Low WAZ was also associated with wasting, stunting, and underweight at 6 months.

Interventions for identifying infants at highest risk of mortality and growth failure should consider WAZ as part of their screening protocol.

We investigated the missed treatment opportunities affecting programmes using mid-upper arm circumference (MUAC) as the sole anthropometric criterion for identification and monitoring of children suffering from severe acute malnutrition (SAM).

Alongside MUAC, we assessed weight-for-height Z-score (WHZ) in children screened and treated according to the national MUAC only protocol in Pakistan. Besides, we collected parents’ perceptions regarding the treatment received by their children through qualitative interviews.

Data were collected from October to December 2021 in Tando Allah Yar District, Sindh.

All children screened in the health facilities (n 8818) and all those discharged as recovered (n 686), throughout the district, contributed to the study. All children screened in the community in the catchment areas of five selected health facilities also contributed (n 8459). Parents of forty-one children randomly selected from these same facilities participated in the interviews.

Overall, 80·3 % of the SAM cases identified during community screening and 64·1 % of those identified in the health facilities presented a ‘WHZ-only’ diagnosis. These figures reached 93·9 % and 84·5 %, respectively, in children aged over 24 months. Among children treated for SAM and discharged as recovered, 25·3 % were still severely wasted according to WHZ. While parents positively appraised the treatment received by their children, they also recommended to extend eligibility to other malnourished children in their neighbourhood.

In this context, using MUAC as the sole anthropometric criterion for treatment decisions (referral, admission and discharge) resulted in a large number of missed opportunities for children in need of timely and adequate care.