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| http://dx.doi.org/10.1111/pai.13766 | DOI Listing |
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Kounis syndrome following COVID-19 vaccination: Clinical manifestations, mechanisms and management.
Hum Vaccin Immunother
December 2024
Department of Pediatrics, The Third Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Kounis syndrome is an acute coronary syndrome triggered by allergic mediators that induce coronary vasoconstriction and thrombosis, leading to further myocardial damage and anaphylactic shock. Kounis syndrome is also a rare but severe adverse reaction to the COVID-19 vaccine, a phenomenon that underscores the importance of collecting and analyzing similar cases to improve treatment and prognosis. Through comprehensive searches of the Web of Science, Embase, and PubMed databases, this study aimed to gather detailed patient data on patients who developed Kounis syndrome after receiving the COVID-19 vaccine and to further investigate the possible underlying mechanisms using currently available studies.
View Article and Find Full Text PDFInterpretable machine learning for allergic rhinitis prediction among preschool children in Urumqi, China.
Sci Rep
September 2024
Department of Pathophysiology, School of Basic Medical Science, Xinjiang Medical University, Urumqi, 830000, Xinjiang, China.
This study aimed to investigate the advantages and applications of machine learning models in predicting the risk of allergic rhinitis (AR) in children aged 2-8, compared to traditional logistic regression. The study analyzed questionnaire data from 7131 children aged 2-8, which was randomly divided into training, validation, and testing sets in a ratio of 55:15:30, repeated 100 times. Predictor variables included parental allergy, medical history during the child's first year (cfy), and early life environmental factors.
View Article and Find Full Text PDFGeographic variability of Medicaid acceptance among allergists in the US.
Am J Manag Care
August 2024
Center for Food Allergy and Asthma Research, Northwestern University Feinberg School of Medicine, 750 N Lake Shore Dr, Floor 6, Room 676, Chicago, IL 60611. Email:
Objective: To determine the geographic variability of Medicaid acceptance among allergists in the US.
Study Design: Geospatial analysis predicted Medicaid acceptance across space, and a multivariable regression identified area-level population demographic variables associated with acceptance.
Methods: We used the National Plan & Provider Enumeration System database to identify allergists.
Potential Use of ChatGPT for the Treatment of Infectious Diseases in Vulnerable Populations.
Ann Biomed Eng
December 2024
Institute of Therapeutic Innovations and Outcomes, College of Pharmacy, The Ohio State University, Columbus, OH, USA.
Background: ChatGPT could be a useful tool in the infectious disease field. However, the application of ChatGPT for the treatment of infectious diseases in vulnerable population has not been determined.
Methods: We designed questions about antibiotic use, including the choice of antibiotics, dose, and treatment duration for prevalent infectious disease in vulnerable populations.
Respiratory problems in rowers: outcomes from a systematic assessment of an elite squad.
Br J Sports Med
August 2024
British Rowing, London, UK.
Objectives: To characterise the respiratory health of elite rowers using a systematic screening approach to assess respiratory health (SARAH) and identify the associations between SARAH findings and acute respiratory illness (ARI) and chest wall injury (CWI).
Methods: A systematic screening approach was conducted in a cohort of elite rowers. The assessment employed validated respiratory questionnaires and multiple physiological measures.
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