Background And Aims: Studies carried out in different countries have shown that source of patient admission in Intensive Care Units (ICUs) is associated to death. Patients admitted from wards show a greater ICU mortality. The aim of the present study was to investigate the association between admission source and outcome in a Pediatric Intensive Care Unit (PICU).
Materials And Methods: We studied all PICU admissions that took place between January 2002 and December 2005 in a tertiary hospital in Brazil. The major outcome studied was death while in the PICU. The independent variable analyzed was admission source, defined either as pediatric emergency room (PER), wards, operating room (OR) of the same hospital or other sources.
Results: A total of 1823 admissions were studied. The overall expected mortality based on the Pediatric Index of Mortality 2 was 6.5% and the observed mortality was 10.3%. In adjusted analysis, the mortality was doubled in patients admitted from wards when compared with the PER patients.
Conclusions: Observed mortality rates were higher in patients admitted from wards within the same hospital, even after adjustment.
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http://dx.doi.org/10.4103/0972-5229.99114 | DOI Listing |
JAMIA Open
February 2025
Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, ON M5B 1T8, Canada.
Objectives: Deidentification of personally identifiable information in free-text clinical data is fundamental to making these data broadly available for research. However, there exist gaps in the deidentification landscape with regard to the functionality and flexibility of extant tools, as well as suboptimal tradeoffs between deidentification accuracy and speed. To address these gaps and tradeoffs, we develop a new Python-based deidentification software, pyDeid.
View Article and Find Full Text PDFFront Cell Infect Microbiol
January 2025
Department of Clinical Pharmacy, Children's Hospital of Fudan University, National Children's Medical Center, Shanghai, China.
Background: Sepsis is a major cause of mortality in intensive care units (ICUs) and continues to pose a significant global health challenge, with sepsis-related deaths contributing substantially to the overall burden on healthcare systems worldwide. The primary objective was to construct and evaluate a machine learning (ML) model for forecasting 28-day all-cause mortality among ICU sepsis patients.
Methods: Data for the study was sourced from the eICU Collaborative Research Database (eICU-CRD) (version 2.
Sci Rep
January 2025
Department of Trauma Surgery, University Hospital Zurich, 8091, Zurich, Switzerland.
Sepsis is a major cause of death in polytrauma patients, with delayed antibiotics increasing mortality. Although biological sex influences immune function and disease outcomes, gender-specific differences in inflammatory response and sepsis progression remain underexplored. This study examined the time-dependent behavior of C-reactive protein (CRP), procalcitonin (PCT), and white blood cell count (WBC) in male and female polytrauma patients to evaluate their predictive value for sepsis.
View Article and Find Full Text PDFIr J Med Sci
January 2025
Department of Public Health - HSE South West (Cork & Kerry), St Finbarr's Hospital, Douglas Road, Cork, Ireland.
Background: Alcohol, a significant public health concern, contributes to a substantial burden on emergency services. Identifying avoidable causes of Emergency Department (ED) presentations may reduce hospital overcrowding and benefit public health.
Aims: This prevalence study aims to provide a detailed analysis of patients presenting to the ED at Mercy University Hospital (MUH) as "Apparently Drunk" in 2022 and 2023.
Commun Med (Lond)
January 2025
Nuffield Department of Primary Health Care Sciences, University of Oxford, Oxford, UK.
Background: Sotrovimab is a neutralising monoclonal antibody (nMAB) currently available to treat extremely clinically vulnerable COVID-19 patients in England. Trials have shown it to have mild to moderate side effects, however, evidence regarding its safety in real-world settings remains insufficient.
Methods: Descriptive and multivariable logistic regression analyses were conducted to evaluate uptake, and a self-controlled case series analysis performed to measure the risk of hospital admission (hospitalisation) associated with 49 pre-specified suspected adverse outcomes in the period 2-28 days post-Sotrovimab treatment among eligible patients treated between December 11, 2021 and May 24, 2022.
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