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Performance of computerized self-reported medical history taking and HEAR score for safe early rule-out of cardiac events in acute chest pain patients: the CLEOS-CPDS prospective cohort study.
Eur Heart J Digit Health
January 2025
Division of Cardiovascular Medicine, Department of Clinical Sciences, Danderyd Hospital, Karolinska Institutet, SE-182 88 Stockholm, Sweden.
Aims: A simplified version of the history, electrocardiogram, age, risk factors, troponin (HEART) score, excluding troponin, has been proposed to rule-out major adverse cardiac events (MACEs). Computerized history taking (CHT) provides a systematic and automated method to obtain information necessary to calculate the HEAR score. We aimed to evaluate the efficacy and diagnostic accuracy of CHT in calculating the HEAR score for predicting MACE.
View Article and Find Full Text PDFLevelling up the Study of Animal Gameplay.
Neurosci Biobehav Rev
January 2025
School of Psychological Science, University of Bristol, Bristol BS8 1TU, United Kingdom. Electronic address:
Play in humans and other animals is widespread and intuitive to recognise. Creative, unstructured play is difficult to quantify, but games direct play towards a specific goal and have defined rules, mechanics and rewards. To date, games have been under-utilised in human and animal behavioural neuroscience.
View Article and Find Full Text PDFOperative and non-operative management of acute appendicitis during pregnancy: a population-based study.
Arch Gynecol Obstet
January 2025
Laboratory of Healthcare Research and Pharmacoepidemiology, Division of Biostatistics, Epidemiology and Public Health, Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Via Bicocca degli Arcimboldi, 8 (Building U7), 20126, Milan, Italy.
Purpose: Acute appendicitis during pregnancy poses unique challenges due to altered anatomical and physiological dynamics and concern about foetal well-being. This study aimed to assess management strategies and outcomes of acute appendicitis during pregnancy, focusing on non-operative management versus surgical intervention.
Methods: The study is based on the computerized healthcare utilization database of Lombardy.
Developing a digital phenotype to subdivide adult immunosuppressed COVID-19 outcomes within the English Primary Care Sentinel Network.
Front Immunol
December 2024
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Background: Adults classified as immunosuppressed have been disproportionately affected by the COVID-19 pandemic. Compared to the immunocompetent, certain patients are at increased risk of suboptimal vaccine response and adverse health outcomes if infected. However, there has been insufficient work to pinpoint where these risks concentrate within the immunosuppressed spectrum; surveillance efforts typically treat the immunosuppressed as a single entity, leading to wide confidence intervals.
View Article and Find Full Text PDFComputerized Decision Support System and Fuzzy Logic Rules for Early Diagnosis of Pesticide-Induced Diseases.
Crit Rev Biomed Eng
November 2024
ITMO University Kronverksky, St. Petersburg, Russia.
Article Synopsis
- Many reflexologists rely on outdated concepts that conflict with current medical science, hampering proper diagnoses and treatment.
- This study develops a fuzzy mathematical model that uses reflex diagnostics and acupuncture points to improve medical care for workers exposed to pesticides, predicting nervous system issues with over 85% accuracy.
- Despite the interest in reflex diagnostics and ancient therapies, the lack of a solid theoretical framework and the exaggeration of acupuncture benefits challenge their broader application in modern healthcare.
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