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http://dx.doi.org/10.1016/S0140-6736(05)61686-8 | DOI Listing |
Ann Intensive Care
January 2025
Department of Anaesthesia, Intensive Care Medicine and Pain Medicine, Division of General Anaesthesia and Intensive Care Medicine, Medical University of Vienna, Vienna, Austria.
Background: Acute respiratory distress syndrome (ARDS) associated with coronavirus infectious disease (COVID)-19 has been a challenge in intensive care medicine for the past three years. Dysregulation of the renin-angiotensin system (RAS) is linked to COVID-19, but also to non-COVID-19 ARDS. It is still unclear whether changes in the RAS are associated with prognosis of severe COVID-19.
View Article and Find Full Text PDFSci Rep
January 2025
Division of Epidemiology and Biostatistics, Faculty of Medicine, and Health Sciences, Stellenbosch University, Cape Town, South Africa.
South Africa was the most affected country in Africa by the coronavirus disease 2019 (COVID-19) pandemic, where over 4 million confirmed cases of COVID-19 and over 102,000 deaths have been recorded since 2019. Aside from clinical methods, artificial intelligence (AI)-based solutions such as machine learning (ML) models have been employed in treating COVID-19 cases. However, limited application of AI for COVID-19 in Africa has been reported in the literature.
View Article and Find Full Text PDFJ Intensive Care Med
January 2025
Department of Critical Care Medicine, Extracorporeal Life Support Unit (USVEC), Fundación Clínica Shaio, Bogotá D.C., Colombia.
Acute Kidney Injury (AKI) is a common complication in patients with Acute Respiratory Distress Syndrome (ARDS) receiving VV-ECMO support, carrying a high risk of progression to Renal Replacement Therapy (RRT). Both AKI and RRT are linked to an increased risk of mortality. This study aims to evaluate the risk factors associated with the need for RRT in patients undergoing VV-ECMO.
View Article and Find Full Text PDFJ Transl Med
January 2025
Department of Critical Care Medicine, Peking University Third Hospital, Beijing, 100191, China.
Background: Acute respiratory distress syndrome (ARDS) is a prevalent complication among critically ill patients, constituting around 10% of intensive care unit (ICU) admissions and mortality rates ranging from 35 to 46%. Hence, early recognition and prediction of ARDS are crucial for the timely administration of targeted treatment. However, ARDS is frequently underdiagnosed or delayed, and its heterogeneity diminishes the clinical utility of ARDS biomarkers.
View Article and Find Full Text PDFJ Inflamm Res
January 2025
Department of Intensive Care Unit, Hebei General Hospital, Shijiazhuang, Hebei, People's Republic of China.
Background: Acute respiratory distress syndrome (ARDS) is a severe form of organ dysfunction and a common postoperative complication. This study aims to develop a predictive model for ARDS in postoperative patients with gastrointestinal perforation to facilitate early detection and effective prevention.
Methods: In this single-center retrospective study, clinical data were collected from postoperative patients with gastrointestinal perforation admitted to the ICU in Hebei Provincial People's Hospital from October 2017 to May 2024.
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