The possibility of mass terrorism has become increasingly apparent. Accurate and relevant teaching tools are needed for healthcare givers and emergency personnel of all experience. We describe one of these tools, BODY Simulation, and its use in training caregivers to respond to chemical terrorism. We have implemented two chemical agents--cyanide and sarin, the latter a nerve agent--in a detailed whole-body model and simulation. In the simulation, each agent was administered to a healthy young adult, first without therapy, then with therapy, for a total of four runs. We recorded several variables, each appropriate to the agent used. The recorded variables included physiological variables in addition to the blood and brain concentrations of each agent and its antidotes. In addition, for cyanide, the compounds that resulted as the byproducts of therapy (methemoglobin, for example) were plotted. The results were consistent with those described in the literature, including agent concentrations and pathophysiologic changes.
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ACR Open Rheumatol
January 2025
Duke University and Duke Clinical Research Institute, Durham, North Carolina.
Objective: The objective of this study was to evaluate the preliminary effectiveness of an electronic pill bottle with automated reminders on hydroxychloroquine (HCQ) adherence in children with pediatric systemic lupus erythematosus (pSLE).
Methods: This was a self-controlled, open label, direct-to-family pilot trial. Children with pSLE treated with HCQ were recruited from the Childhood Arthritis and Rheumatology Research Alliance Registry.
Circ Genom Precis Med
January 2025
Department of Medicine, Division of Cardiology (M.P., N.J.P., N.P.S.), Duke University, Durham, NC.
Background: Established risk models may not be applicable to patients at higher cardiovascular risk with a measured Lp(a) (lipoprotein[a]) level, a causal risk factor for atherosclerotic cardiovascular disease.
Methods: This was a model development study. The data source was the Nashville Biosciences Lp(a) data set, which includes clinical data from the Vanderbilt University Health System.
Epidemiol Psychiatr Sci
January 2025
Department of Global Public Health, Karolinska Institute, Stockholm, Sweden.
Aims: Although individuals with lower socio-economic position (SEP) have a higher prevalence of mental health problems than others, there is no conclusive evidence on whether mental healthcare (MHC) is provided equitably. We investigated inequalities in MHC use among adults in Stockholm County (Sweden), and whether inequalities were moderated by self-reported psychological distress.
Methods: MHC use was examined in 31,433 individuals aged 18-64 years over a 6-month follow-up period, after responding to the General Health Questionnaire-12 (GHQ-12) in 2014 or the Kessler Six (K6) in 2021.
Eur Heart J Digit Health
January 2025
School of Life Course & Population Sciences, King's College London, SE1 1UL London, UK.
Cardiovascular disease (CVD) remains a major cause of mortality in the UK, prompting the need for improved risk predictive models for primary prevention. Machine learning (ML) models utilizing electronic health records (EHRs) offer potential enhancements over traditional risk scores like QRISK3 and ASCVD. To systematically evaluate and compare the efficacy of ML models against conventional CVD risk prediction algorithms using EHR data for medium to long-term (5-10 years) CVD risk prediction.
View Article and Find Full Text PDFBackground: Short-chain fatty acids (SCFAs), derived from the fermentation of dietary fiber by intestinal commensal bacteria, have demonstrated protective effects against acute lung injury (ALI) in animal models. However, the findings have shown variability across different studies. It is necessary to conduct a comprehensive evaluation of the efficacy of these treatments and their consistency.
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