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Depression is one of the most common disorders encountered by mental health professionals. It is estimated that approximately 30% of all clinically depressed patients attempt suicide; half of them ultimately die by suicide. Assessment of suicidal patients is one of the main tasks for the mental health practitioner in an emergency unit. The risk of suicidal behavior is difficult to accurately predict, yet crucial to the effective prevention of suicide. This study examined the use of the Brief Symptom Inventory (BSI) as a predictor of level of care for psychiatric patients in an emergency department. A sample of 62 patients who presented for psychological evaluation participated in the study. Their ages ranged from 18 to 60 years (mean ± SD = 28.5 ± 12.5 years). Fifty-five percent of the sample was female. Most of the patients were diagnosed with depression or anxiety disorders, but a wide spectrum of conditions and severity was sampled. Participants were given the BSI following traditional interview methods in determining the necessary level of psychiatric care. The results of this study indicated that the BSI Global Symptom Index (GSI) was the clearest predictor of inpatient hospitalization. BSI scores for female participants were more distinctly separated between groups than were the scores for male participants. The participants’ level of education is inversely correlated to inpatient hospitalization. Key words: depression, suicide, brief symptom inventory

ObjectiveWe compared data from the National Collegiate Athletic Association (NCAA) Concussion Study (1999–2001) and the NCAA-Department of Defense Concussion Assessment, Research and Education (CARE) Consortium (2014–2017) to examine how clinical management, return to play (RTP) and risk of repeat concussion in collegiate football players have changed over the past 15 years.MethodsWe analysed data on reported duration of symptoms, symptom-free waiting period (SFWP), RTP and occurrence of within-season repeat concussion in collegiate football players with diagnosed concussion from the NCAA Study (n=184) and CARE (n=701).ResultsCARE athletes had significantly longer symptom duration (CARE median=5.92 days, IQR=3.02–9.98 days; NCAA median=2.00 days, IQR=1.00–4.00 days), SFWP (CARE median=6.00 days, IQR=3.49–9.00 days; NCAA median=0.98 days, IQR=0.00–4.00 days) and RTP (CARE median=12.23 days, IQR=8.04–18.92 days; NCAA median=3.00 days, IQR=1.00–8.00 days) than NCAA Study athletes (all p<0.0001). In CARE, there was only one case of repeat concussion within 10 days of initial injury (3.7% of within-season repeat concussions), whereas 92% of repeat concussions occurred within 10 days in the NCAA Study (p<0.001). The average interval between first and repeat concussion in CARE was 56.41 days, compared with 5.59 days in the NCAA Study (M difference=50.82 days; 95% CI 38.37 to 63.27; p<0.0001).ConclusionOur findings indicate that concussion in collegiate football is managed more conservatively than 15 years ago. These changes in clinical management appear to have reduced the risk of repetitive concussion during the critical period of cerebral vulnerability after sport-related concussion (SRC). These data support international guidelines recommending additional time for brain recovery before athletes RTP after SRC.

Atomic precision advanced manufacturing (APAM) offers creation of donor devices in an atomically thin layer doped beyond the solid solubility limit, enabling unique device physics. This presents an opportunity to use APAM as a pathfinding platform to investigate digital electronics at the atomic limit. Scaling to smaller transistors is increasingly difficult and expensive, necessitating the investigation of alternative fabrication paths that extend to the atomic scale. APAM donor devices can be created using a scanning tunneling microscope (STM). However, these devices are not currently compatible with industry standard fabrication processes. There exists a tradeoff between low thermal budget (LT) processes to limit dopant diffusion and high thermal budget (HT) processes to grow defect-free layers of epitaxial Si and gate oxide. To this end, we have developed an LT epitaxial Si cap and LT deposited Al2O3 gate oxide integrated with an atomically precise single-electron transistor (SET) that we use as an electrometer to characterize the quality of the gate stack. The surface-gated SET exhibits the expected Coulomb blockade behavior. However, the gate's leverage over the SET is limited by defects in the layers above the SET, including interfaces between the Si and oxide, and structural and chemical defects in the Si cap. We propose a more sophisticated gate stack and process flow that is predicted to improve performance in future atomic precision devices.

Objectives To identify biomarkers of renal disease in adolescents with type 1 diabetes (T1D) and to compare findings in adults with T1D. Methods Twenty‐five serum biomarkers were measured, using a Luminex platform, in 553 adolescents (median [interquartile range] age: 13.9 [12.6, 15.2] years), recruited to the Adolescent Type 1 Diabetes Cardio‐Renal Intervention Trial. Associations with baseline and final estimated glomerular filtration rate (eGFR), rapid decliner and rapid increaser phenotypes (eGFR slopes <−3 and > 3 mL/min/1.73m2/year, respectively), and albumin‐creatinine ratio (ACR) were assessed. Results were also compared with those obtained in 859 adults (age: 55.5 [46.1, 64.4) years) from the Scottish Diabetes Research Network Type 1 Bioresource. Results In the adolescent cohort, baseline eGFR was negatively associated with trefoil factor‐3, cystatin C, and beta‐2 microglobulin (B2M) (B coefficient[95%CI]: −0.19 [−0.27, −0.12], P = 7.0 × 10−7; −0.18 [−0.26, −0.11], P = 5.1 × 10−6; −0.12 [−0.20, −0.05], P = 1.6 × 10−3), in addition to clinical covariates. Final eGFR was negatively associated with osteopontin (−0.21 [−0.28, −0.14], P = 2.3 × 10−8) and cystatin C (−0.16 [−0.22, −0.09], P = 1.6 × 10−6). Rapid decliner phenotype was associated with osteopontin (OR: 1.83 [1.42, 2.41], P = 7.3 × 10−6), whereas rapid increaser phenotype was associated with fibroblast growth factor‐23 (FGF‐23) (1.59 [1.23, 2.04], P = 2.6 × 10−4). ACR was not associated with any of the biomarkers. In the adult cohort similar associations with eGFR were found; however, several additional biomarkers were associated with eGFR and ACR. Conclusions In this young population with T1D and high rates of hyperfiltration, osteopontin was the most consistent biomarker associated with prospective changes in eGFR. FGF‐23 was associated with eGFR increases, whereas trefoil factor‐3, cystatin C, and B2M were associated with baseline eGFR.

Aims/hypothesisWe examined the hypothesis that elevation in urinary albumin creatinine ratio (ACR) in adolescents with type 1 diabetes is associated with abnormal retinal vascular geometry (RVG) phenotypes.MethodsA cross-sectional study at baseline of the relationship between ACR within the normoalbuminuric range and RVG in 963 adolescents aged 14.4 ± 1.6 years with type 1 diabetes (median duration 6.5 years) screened for participation in AdDIT. A validated algorithm was used to categorise log10 ACR into tertiles: upper tertile ACR was defined as ‘high-risk’ for future albuminuria and the lower two tertiles were deemed ‘low-risk’. RVG analysis, using a semi-automated computer program, determined retinal vascular calibres (standard and extended zones) and tortuosity. RVG measures were analysed continuously and categorically (in quintiles: Q1–Q5) for associations with log10 ACR and ACR risk groups.ResultsGreater log10 ACR was associated with narrower vessel calibres and greater tortuosity. The high-risk group was more likely to have extended zone vessel calibres in the lowest quintile (arteriolar Q1 vs Q2–Q5: OR 1.67 [95% CI 1.17, 2.38] and venular OR 1.39 [0.98, 1.99]) and tortuosity in the highest quintile (Q5 vs Q1–Q4: arteriolar OR 2.05 [1.44, 2.92] and venular OR 2.38 [1.67, 3.40]). The effects of retinal vascular calibres and tortuosity were additive such that the participants with the narrowest and most tortuous vessels were more likely to be in the high-risk group (OR 3.32 [1.84, 5.96]). These effects were independent of duration, blood pressure, BMI and blood glucose control.Conclusions/interpretationHigher ACR in adolescents is associated with narrower and more tortuous retinal vessels. Therefore, RVG phenotypes may serve to identify populations at high risk of diabetes complications during adolescence and well before onset of clinical diabetes complications.

Compares the completeness of capture of coronary procedures and acute coronary syndrome (ACS) admissions in the All New Zealand Acute Coronary Syndrome Quality Improvement (ANZACS-QI) registry, which was designed to collect data on all coronary angiograms and percutaneous coronary interventions (PCI) in New Zealand, with those recorded in the National Hospitalisation Dataset. Evaluates data quality by assessing agreement in ACS diagnoses and coronary procedures between datasets. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.

Understanding whether there are racial and ethnic and residential disparities in prenatal telehealth uptake is necessary for ensuring equitable access and guiding implementation of future hybrid (ie, both telehealth and in-person) prenatal care. To assess temporal changes in individuals using hybrid prenatal care before and during the COVID-19 public health emergency (PHE) by race and ethnicity and residence location in the US. This retrospective cohort study analyzed electronic health record data of prenatal care visits from the National COVID Cohort Collaborative Data Enclave, comprising data from 75 health systems and freestanding institutes in all 50 US states. Data were analyzed on 349 682 nationwide pregnancies among 349 524 people who gave birth from June 1, 2018, through May 31, 2022. Multivariable generalized estimating equations were used to examine variations in receiving hybrid vs only in-person prenatal care. Data phenotyping and analysis occurred from June 13, 2023, to September 27, 2024. Prenatal period overlap (never, partially, or fully overlapping) with the COVID-19 PHE, maternal race and ethnicity, and urban or rural residence. Hybrid vs in-person-only prenatal care. Of 349 682 pregnancies (mean [SD] age, 29.4 [5.9] years), 59 837 (17.1%) were in Hispanic or Latino individuals, 14 803 (4.2%) in non-Hispanic Asian individuals, 65 571 (18.8%) in non-Hispanic Black individuals, 162 677 (46.5%) in non-Hispanic White individuals, and 46 794 (13.4%) in non-Hispanic individuals from other racial and ethnic groups. A total of 31 011 participants (8.9%) resided in rural communities. Hybrid prenatal care increased from nearly none before March 2020 to a peak of 8.1% telehealth visits in November 2020, decreasing slightly to 6.2% by March 2022. Among the fully overlapping group, urban residents had nearly 2-fold odds of hybrid prenatal care compared with rural people (adjusted odds ratio [AOR], 1.98; 95% CI, 1.84-2.12). Hispanic or Latino people (AOR, 1.48; 95% CI, 1.41-1.56), non-Hispanic Asian people (AOR, 1.47; 95% CI, 1.35-1.59), and non-Hispanic Black people (AOR, 1.18; 95% CI, 1.12-1.24) were more likely to receive hybrid prenatal care than non-Hispanic White people. In this cohort study, hybrid prenatal care increased substantially during the COVID-19 PHE, but pregnant people living in rural areas had lower levels of hybrid care than urban people, and individuals who belonged to racial and ethnic minority groups were more likely to have hybrid care than White individuals. These findings suggest that strategies that improve equitable access to telehealth for people who live in rural areas and people in some minority racial and ethnic groups may be useful.

Describes the ‘patient delay’ - the time from symptom onset to first medical contact (FMC) - and ‘system delay’ - the time from FMC until reperfusion therapy (primary percutaneous coronary intervention (PCI) or fibrinolysis) - in patients who receive acute reperfusion therapy for ST-elevation myocardial infarction (STEMI) in New Zealand. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.

Atomic precision advanced manufacturing (APAM) offers creation of donor devices in an atomically thin layer doped beyond the solid solubility limit, enabling unique device physics. This presents an opportunity to use APAM as a pathfinding platform to investigate digital electronics at the atomic limit. Scaling to smaller transistors is increasingly difficult and expensive, necessitating the investigation of alternative fabrication paths that extend to the atomic scale. APAM donor devices can be created using a scanning tunneling microscope (STM). However, these devices are not currently compatible with industry standard fabrication processes. There exists a tradeoff between low thermal budget (LT) processes to limit dopant diffusion and high thermal budget (HT) processes to grow defect-free layers of epitaxial Si and gate oxide. To this end, we have developed an LT epitaxial Si cap and LT deposited Al2O3 gate oxide integrated with an atomically precise single-electron transistor (SET) that we use as an electrometer to characterize the quality of the gate stack. The surface-gated SET exhibits the expected Coulomb blockade behavior. However, the gate's leverage over the SET is limited by defects in the layers above the SET, including interfaces between the Si and oxide, and structural and chemical defects in the Si cap. We propose a more sophisticated gate stack and process flow that is predicted to improve performance in future atomic precision devices.

The application of semantic technologies to the integration of biological data and the interoperability of bioinformatics analysis and visualization tools has been the common theme of a series of annual BioHackathons hosted in Japan for the past five years. Here we provide a review of the activities and outcomes from the BioHackathons held in 2011 in Kyoto and 2012 in Toyama. In order to efficiently implement semantic technologies in the life sciences, participants formed various sub-groups and worked on the following topics: Resource Description Framework (RDF) models for specific domains, text mining of the literature, ontology development, essential metadata for biological databases, platforms to enable efficient Semantic Web technology development and interoperability, and the development of applications for Semantic Web data. In this review, we briefly introduce the themes covered by these sub-groups. The observations made, conclusions drawn, and software development projects that emerged from these activities are discussed.