Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Objective This study aimed to determine the characteristics of acute poisoning patients. Design This was a prospective cohort study. Setting The study was conducted for 1 year (1 July 2023 to 30 June ...

Background Blood culture (BC) in children has relatively low diagnostic yield and high contamination rates, limiting ...

Machine learning models estimated the probability of developing sepsis in children admitted to the emergency department.

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.

Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.

Background Tobacco use among United States (US) youth and young adults has declined from historic levels, but cannabis use ...

Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may trigger challenges to capacity and to consider the implications of ...