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Mycobacterium tuberculosis (M.tb) infection can lead to various outcomes, including active tuberculosis or latent tuberculosis infection (LTBI). Household contacts of TB cases have a high risk of acquiring LTBI.
View Article and Find Full Text PDFPrediction of mortality and prioritisation to tertiary care using the 'OUR-ARCad' risk score gleaned from the second wave of COVID-19 pandemic-A retrospective cohort study from South India.
PLoS One
January 2025
NIE-Indian Council of Medical Research-National Institute of Epidemiology, Chennai, India.
Background: Judicious utilisation of tertiary care facilities through appropriate risk stratification assumes priority, in a raging pandemic, of the nature of delta variant-predominated second wave of COVID-19 pandemic in India. Prioritisation of tertiary care, through a scientifically validated risk score, would maximise recovery without compromising individual safety, but importantly without straining the health system.
Methods: De-identified data of COVID-19 confirmed patients admitted to a tertiary care hospital in South India, between April 1, 2021 and July 31, 2021, corresponding to the peak of COVID-19 second wave, were analysed after segregating into 'survivors' or 'non-survivors' to evaluate the risk factors for COVID-19 mortality at admission and formulate a risk score with easily obtainable but clinically relevant parameters for accurate patient triaging.
Tuberculosis treatment outcomes and associated factors among patients treated at Bosaso TB Hospital, Bosaso, Somalia: A five-year retrospective study.
PLoS One
January 2025
Administration Department, Ministry of Health (Puntland), Bosaso, Puntland, Somalia.
Introduction: Tuberculosis remains a major public health problem, primarily in low- and middle-income countries. Evaluating treatment outcomes and investigating factors associated with them are essential for the treatment and control of tuberculosis. Hence, this study aims to assess the TB treatment outcomes and associated factors in Bosaso, Puntland, Somalia.
View Article and Find Full Text PDFMachine learning model to predict the adherence of tuberculosis patients experiencing increased levels of liver enzymes in Indonesia.
PLoS One
January 2025
Faculty of Psychology, Universitas Ahmad Dahlan, Yogyakarta, Indonesia.
Indonesia is still the second-highest tuberculosis burden country in the world. The antituberculosis adverse drug reaction and adherence may influence the success of treatment. The objective of this study is to define the model for predicting the adherence in tuberculosis patients, based on the increased level of liver enzymes.
View Article and Find Full Text PDFIncidence rates of tuberculosis and inflammatory bowel disease in patients with ankylosing spondylitis treated with biologics in Korea.
Rheumatology (Oxford)
January 2025
Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
Objective: To describe the incidence rates of inflammatory bowel disease (IBD) and tuberculosis (TB) in Korean patients with ankylosing spondylitis receiving biologics.
Methods: Data from a Korean claims database between 2010 and 2021 was used to calculate crude incidence rates of TB and IBD using number of events and total patient-years (PYs).
Results: Overall, 43 643 and 43 396 patients were included in TB and IBD cohorts.
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