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Medicina (Kaunas)
January 2025
Department of Emergency Medicine, University of Maryland School of Medicine, Baltimore, MD 21201, USA.
This study sought to identify predictors for peripartum patients admitted to non-intensive care wards who later upgraded to the Intensive Care Unit (ICU). This was a retrospective observational study of patients admitted to the Maternal Fetal Ward between 01/2017 and 12/2022, who later upgraded to the ICU. Upgraded patients were 1:1 propensity score matched with those who remained on the Maternal Fetal Ward (control).
View Article and Find Full Text PDFEur J Trauma Emerg Surg
January 2025
Delray Medical Center, Division of Trauma and Critical Care Services, 5352 Linton Boulevard, Delray Beach, FL, 33484, USA.
Purpose: Many patients originally transported to non-trauma centers (NTC) require transfer to a trauma center (TC) for treatment. The aim was to analyze injury characteristics and outcomes of transfer patients and investigate the secondary overtriage (SOT).
Methods: Study included 2,056 transfers to an urban level 1 TC between 01/2016 and 06/2020.
Kidney Res Clin Pract
January 2025
Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
Background: Patients with end-stage kidney disease (ESKD) frequently visit the emergency department (ED) due to complications from comorbidities and dialysis. This study aimed to investigate the clinical outcomes and patterns of ED visits, hospitalizations, and in-hospital mortality among ED visits by ESKD patients in South Korea.
Methods: This study utilized data from the National Emergency Department Information System from 2019 to 2021.
Health Serv Insights
January 2025
Spacelabs Healthcare, Snoqualmie, WA, USA.
Background: Quality improvement initiatives in the acute care setting often target reduction of mortality and length of stay (LOS). Unplanned care escalations are associated with increased mortality risk and prolonged LOS, but may be precipitated by different factors, including appropriate triage, bed availability, and post-admission deterioration.
Objectives: This work evaluates different transfer timeframes to quantify the impact of deterioration-associated unplanned transfers to intensive care (ICU) on mortality and LOS, informing evidence-based interventions to improve patient care.
Curr Cardiol Rep
January 2025
Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA.
Purpose Of Review: Artificial Intelligence (AI) technology will significantly alter critical care cardiology, from our understanding of diseases to the way in which we communicate with patients and colleagues. We summarize the potential applications of AI in the cardiac intensive care unit (CICU) by reviewing current evidence, future developments and possible challenges.
Recent Findings: Machine Learning (ML) methods have been leveraged to improve interpretation and discover novel uses for diagnostic tests such as the ECG and echocardiograms.
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