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Background: Bowel trauma, encompassing injuries to the small and large intestine, represents a significant medical challenge due to its potential for morbidity and mortality. Management of bowel injuries remains surgical, but multiple factors influence the outcome in these patients. This study provides an in-depth analysis of the high-risk features of hollow visceral trauma in the ICU setting and the corresponding mortality rates, shedding light on the critical factors that influence outcomes in these cases.

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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.

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Background: COVID-19 was first identified in Wuhan, China, in December 2019, where it spread over a wide geographic area until it reached the status of a pandemic in 2020. We postulated that patients who were diagnosed with incidental COVID-19, and underwent surgery, did not have a worse outcome due to the COVID-19 virus compared to their counterparts who did not have the virus.

Methods: This retrospective study included surgical patients (COVID-19 incidentals and COVID-19 negatives) who were admitted to the surgical intensive care unit (SICU) at Tygerberg Academic Hospital between 1 May 2020 and 31 December 2021.

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With the rapid advancement of plant phenotyping research, understanding plant genetic information and growth trends has become crucial. Measuring seedling length is a key criterion for assessing seed viability, but traditional ruler-based methods are time-consuming and labor-intensive. To address these limitations, we propose an efficient deep learning approach to enhance plant seedling phenotyping analysis.

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Introduction: Methicillin-resistant (MRSA) colonization in neonatal intensive care units (NICUs) is a significant global health concern, leading to severe infections, extended hospital stays, and substantial economic burdens on health-care systems. To develop effective infection control strategies, we need to fill existing gaps in our understanding of MRSA epidemiology in neonates. The aim of this systematic review is to provide an extensive analysis of the proportion of MRSA colonizations in NICUs.

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