Articles: sepsis.
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Objective: Extracellular purines such as adenosine triphosphate (ATP), uridine triphosphate (UTP), and uridine diphosphate (UDP) and the ATP degradation product adenosine are biologically active signaling molecules, which accumulate at sites of metabolic stress in sepsis. They have potent immunomodulatory effects by binding to and activating P1 or adenosine and P2 receptors on the surface of leukocytes. Here we assessed the levels of extracellular purines, their receptors, metabolic enzymes, and cellular transporters in leukocytes of septic patients. ⋯ Conclusion: Because CD39 degrades ATP to adenosine monophosphate (AMP), the lower ATP levels in septic individuals may be the result of increased CD39 expression. This increased degradation of ATP did not lead to increased adenosine levels, which may be explained by the decreased expression of CD73, which converts AMP to adenosine. Altogether, our results demonstrate differential regulation of components of the purinergic system in PBMCs during human sepsis.
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Acute blood loss anemia is the most common form of anemia and often results from traumatic injuries or gastrointestinal bleeding. There are limited studies analyzing outcomes associated with acute blood loss anemia in hospitalized patients. ⋯ Acute blood loss anemia is associated with adverse outcomes in hospitalized patients.
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Pediatric emergency care · Apr 2024
Association of Designated Pediatric Trauma Center and Outcomes of Severely Injured Children Who Were Mechanically Ventilated and Underwent Tracheostomy: A Propensity-Matched Analysis.
The purpose of the study is to examine the outcomes of care delivered at the pediatric trauma center (PTC) in severely injured children who were intubated, mechanically ventilated, and underwent tracheostomy. ⋯ Care at the PTC was associated with a lower occurrence of sepsis complications. A higher number of patients were discharged home without additional services when the care was provided at PTC.
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Objective : Numerous epidemiological studies have identified a potential link between sepsis and a variety of autoimmune disorders. The primary objective of this study is to delve deeper into this connection, investigating the potential causal relationship between sepsis and autoimmune disorders through the application of Mendelian randomization (MR). Methods : To assess the potential genetic impact on sepsis risk relating to susceptibility toward immune-related outcomes, we used summary data from the largest European genome-wide association studies (GWAS) on these conditions using a two-sample MR framework. ⋯ Conclusion : Our MR research, centered on a European population, does not validate a correlation between susceptibility to the majority of autoimmune disorders and sepsis risk. Associations discerned in epidemiological studies may owe partly to shared biological or environmental confounders. The risk susceptibility for primary sclerosing cholangitis does relate to sepsis risk, opening doors for personalized precision treatments in the future.
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J Clin Monit Comput · Apr 2024
Early prediction of mortality at sepsis diagnosis time in critically ill patients by using interpretable machine learning.
This study applied machine learning for the early prediction of 30-day mortality at sepsis diagnosis time in critically ill patients. Retrospective study using data collected from the Medical Information Mart for Intensive Care IV database. The data of the patient cohort was divided on the basis of the year of hospitalization, into training (2008-2013), validation (2014-2016), and testing (2017-2019) datasets. 24,377 patients with the sepsis diagnosis time < 24 h after intensive care unit (ICU) admission were included. ⋯ The calibration plot for the model revealed a slope of 1.03 (95% CI 0.94-1.12) and intercept of 0.14 (95% CI 0.04-0.25). The SHAP revealed the top three most significant features, namely age, increased red blood cell distribution width, and respiratory rate. Our study demonstrated the feasibility of using the interpretable machine learning model to predict mortality at sepsis diagnosis time.