Introduction: Tuberculosis (TB) continues to be an important public health problem throughout much of the world. Drug treatment is the only effective treatment method, but adverse drug events (ADEs) and adverse drug reactions (ADRs) can affect medication adherence. As the number of drug-resistant TB patients and the number of anti-TB drugs have increased, it is necessary to explore the risk factors for ADEs/ADRs to reduce their occurrence. This study aims to build a home-based anti-TB treatment cohort and to recognise the incidences, prognosis and risk factors of anti-TB drug-induced ADEs/ADRs in real-world experiences.
Methods And Analysis: This study is a multicentre, prospective observational cohort study. The study population will consist of 3200 newly diagnosed TB patients between January 2019 and December 2020. After initiating the anti-TB treatment, all patients will be followed up until finishing treatment unless they withdraw, and we will record personal drug use and signs and/or symptoms of discomfort. Patients will receive scheduled laboratory tests in designated hospitals every 2 weeks during the first 2 months, and the residual blood sample after conducting the laboratory tests will be preserved. The ADEs/ADRs will be placed into eight categories: liver dysfunction, gastrointestinal reactions, drug allergy, arthralgia or muscle pain, nervous system disorders, haematological system disorders, renal impairment and others.
Ethics And Dissemination: This study protocol has been approved by the ethics committees of Nanjing Medical University. All patients will give written informed consent before enrollment. The findings of the study will be published in peer-reviewed journals and will be presented at national and international conferences.
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http://dx.doi.org/10.1136/bmjopen-2018-027321 | DOI Listing |
JMIR Med Educ
January 2025
Centre for Digital Transformation of Health, University of Melbourne, Carlton, Australia.
Background: Learning health systems (LHS) have the potential to use health data in real time through rapid and continuous cycles of data interrogation, implementing insights to practice, feedback, and practice change. However, there is a lack of an appropriately skilled interprofessional informatics workforce that can leverage knowledge to design innovative solutions. Therefore, there is a need to develop tailored professional development training in digital health, to foster skilled interprofessional learning communities in the health care workforce in Australia.
View Article and Find Full Text PDFSAGE Open Med
January 2025
Department of Pathology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China.
Background: To investigate the trends in Burkitt lymphoma incidence, mortality, and disability-adjusted life-years, considering sex and age, from 1990 to 2021, with a 20-year forecast.
Method: Data regarding Burkitt lymphoma were extracted from the Global Burden of Disease study for the year 2021.
Results: Globally, there were 19,072 incident cases of Burkitt lymphoma in 2021.
World J Gastrointest Endosc
January 2025
Department of Anesthesiology, Baoding First Central Hospital, Baoding 071000, Hebei Province, China.
Background: Administering anesthesia to elderly patients undergoing gastroenteroscopy necessitates careful attention due to age-related physiological changes and an increased risk of complications.
Aim: To analyze the research trends in anesthesia management for elderly patients undergoing gastroenteroscopy.
Methods: We performed a literature search using the Web of Science database to identify articles published between 2004 and 2023.
Front Public Health
January 2025
Department of Computer Science, College of Engineering and Computer Science, Jazan University, Jazan, Saudi Arabia.
Introduction: The growing demand for real-time, affordable, and accessible healthcare has underscored the need for advanced technologies that can provide timely health monitoring. One such area is predicting arterial blood pressure (BP) using non-invasive methods, which is crucial for managing cardiovascular diseases. This research aims to address the limitations of current healthcare systems, particularly in remote areas, by leveraging deep learning techniques in Smart Health Monitoring (SHM).
View Article and Find Full Text PDFIndian Dermatol Online J
December 2024
Department of Experimental and Clinical Medicine, DISM, Institute of Dermatology Udine, Udine, Italy.
Introduction: Ultraviolet-induced fluorescence dermoscopy (UVF dermoscopy) is a novel diagnostic technique for identifying and diagnosing numerous skin tumors, inflammatory dermatoses, and infectious diseases. The ultraviolet (UV) band has a wavelength ranging from 10 to 400 nm. When intense UV radiation with shorter wavelengths strikes a target chromophore, visible light (VL) with a longer wavelength and lower energy is produced in the skin.
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