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http://dx.doi.org/10.1111/j.0954-6820.1972.tb05839.x | DOI Listing |
J Surg Res
January 2025
Center for Injury Science, University of Alabama at Birmingham, Birmingham, Alabama.
Introduction: Previous studies suggested that type O blood may be associated with increased mortality and/or thrombotic complications among trauma patients. The purpose of this analysis was to evaluate the relationship between endogenous blood type, mortality, and complications among patients receiving massive transfusions, using data from the Pragmatic Randomized Optimal Platelet and Plasma Ratios trial.
Materials And Methods: This was a secondary analysis of the Pragmatic Randomized Optimal Platelet and Plasma Ratios trial that included patients with the reported blood type (A, AB, B, or O) data.
Thromb Res
January 2025
Institute for Experimental Biomedicine I, University Hospital Würzburg, Würzburg, Germany.
J 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 PDFStroke
January 2025
Stroke Research Group, Department of Clinical Neurosciences, University of Cambridge, United Kingdom. (Z.S., E.L.H., H.S.M.).
Background: Endothelial dysfunction and inflammation have been implicated in the pathophysiology of cerebral small vessel disease (SVD). However, whether they are causal, and if so which components of the pathways represent potential treatment targets, remains uncertain.
Methods: Two-sample Mendelian randomization (MR) was used to test the association between the circulating abundance of 996 proteins involved in endothelial dysfunction and inflammation and SVD.
Adv Appl Bioinform Chem
January 2025
Department of Information Technology, Mutah University, Al-Karak, Jordan.
Purpose: The incidence of cancer, which is a serious public health concern, is increasing. A predictive analysis driven by machine learning was integrated with haematology parameters to create a method for the simultaneous diagnosis of several malignancies at different stages.
Patients And Methods: We analysed a newly collected dataset from various hospitals in Jordan comprising 19,537 laboratory reports (6,280 cancer and 13,257 noncancer cases).
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