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Traumatic limb amputations in polytrauma ICU admissions.
S Afr J Surg
December 2024
Department of Surgical Sciences, Nelson R Mandela School of Clinical Medicine, University of KwaZulu-Natal, South Africa.
Background: KwaZulu-Natal bears a significant trauma burden, with polytrauma patients often experiencing traumatic limb amputations. This study investigates traumatic limb amputations in the subgroup of severely injured polytrauma patients admitted to the trauma ICU in KwaZulu-Natal. This study aims to describe the management and outcomes of traumatic limb amputations in polytrauma patients at the trauma ICU.
View Article and Find Full Text PDFHeart in Focus: Advancing Pericardial Effusion Diagnosis With Point-of-Care Ultrasound.
Cureus
December 2024
Emergency, Hospital de Braga, Braga, PRT.
Pericardial effusion refers to the accumulation of fluid within the pericardial sac, the double-layered membrane surrounding the heart. It can be caused by various medical conditions and may lead to serious complications if not diagnosed and managed promptly. Point-of-care ultrasound (POCUS) has emerged as a valuable tool in the clinical evaluation of pericardial effusions, offering real-time visualization and aiding in the assessment of its size, characteristics, and potential hemodynamic impact.
View Article and Find Full Text PDFAlcohol Use Disorder and Alcohol-Associated Liver Disease: New Definitions, Screening, and Treatment.
Gastroenterol Hepatol (N Y)
November 2024
Division of Gastroenterology and Hepatology, Weill Cornell Medicine, New York, New York.
Alcohol-associated liver disease (ALD) poses a significant global health burden and is a leading cause of liver-related morbidity and mortality. ALD encompasses a spectrum of disease states ranging from asymptomatic steatosis to acute hepatitis and cirrhosis. Alcohol use disorder (AUD) significantly increases the risk of developing ALD, and insight into AUD can provide a more complete understanding of ALD and the patients affected by these interrelated diseases.
View Article and Find Full Text PDFFrom prediction to practice: mitigating bias and data shift in machine-learning models for chemotherapy-induced organ dysfunction across unseen cancers.
BMJ Oncol
November 2024
Department of Computer Science, Durham University, Durham, UK.
Objectives: Routine monitoring of renal and hepatic function during chemotherapy ensures that treatment-related organ damage has not occurred and clearance of subsequent treatment is not hindered; however, frequency and timing are not optimal. Model bias and data heterogeneity concerns have hampered the ability of machine learning (ML) to be deployed into clinical practice. This study aims to develop models that could support individualised decisions on the timing of renal and hepatic monitoring while exploring the effect of data shift on model performance.
View Article and Find Full Text PDFObjectives: Pneumonia is a major cause of morbidity and mortality among patients in the intensive care unit (ICU). Timely and accurate diagnosis is crucial for effective treatment, but lower respiratory tract sampling techniques vary in sensitivity and specificity. This study aims to compare the diagnostic accuracy of endotracheal aspirate (ETA) with mini bronchoalveolar lavage (mBAL) in detecting bacterial pneumonia in intubated patients, assessing sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of ETA against mBAL, the gold standard.
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