Results 31 to 40 of about 604,208 (156)
Detection of sepsis during emergency department triage using machine learning [PDF]
arXiv, 2022 Sepsis is a life-threatening condition with organ dysfunction and is a leading cause of death and critical illness worldwide. Even a few hours of delay in the treatment of sepsis results in increased mortality. Early detection of sepsis during emergency department triage would allow early initiation of lab analysis, antibiotic administration, and other
arxiv
Glucocorticoids in Sepsis: To Be or Not to Be
Frontiers in Immunology, 2020 Sepsis is a highly lethal syndrome resulting from dysregulated immune and metabolic responses to infection, thereby compromising host homeostasis. Activation of the hypothalamic-pituitary-adrenal (HPA) axis and subsequently adrenocortical glucocorticoid (GC) production during sepsis are important regulatory processes to maintain homeostasis.
Jolien Vandewalle +3 more
openaire +4 more sources
Frontiers in Immunology, 2020 Sepsis is a severe state of infection with high mortality. Pathogen-associated molecular patterns and damage-associated molecular patterns (DAMPs) initiate dysregulated systemic inflammation upon binding to pattern recognition receptors. Exosomes are endosome-derived vesicles, which carry proteins, lipids and nucleic acids, and facilitate intercellular
Atsushi Murao +6 more
openaire +4 more sources
Proteomic and epigenomic markers of sepsis-induced delirium (SID) [PDF]
, 2015 In elderly population sepsis is one of the leading causes of intensive care unit (ICU) admissions in the United States. Sepsis-induced delirium (SID) is the most frequent cause of delirium in ICU (Martin et al., 2010). Together delirium and SID represent
Adonis eSfera +5 more
core +2 more sources
Disparities in Social Determinants among Performances of Mortality Prediction with Machine Learning for Sepsis Patients [PDF]
arXiv, 2021 Background Sepsis is one of the most life-threatening circumstances for critically ill patients in the US, while a standardized criteria for sepsis identification is still under development. Disparities in social determinants of sepsis patients can interfere with the risk prediction performances using machine learning.
arxiv
Circulating Biologically Active Adrenomedullin Predicts Organ Failure and Mortality in Sepsis [PDF]
, 2019 BACKGROUND: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to infection. Biologically active adrenomedullin (bio-ADM) is an emerging biomarker for sepsis.
Bergmann, A. +4 more
core +1 more source
, 2003 1. Hyperthermie (>38,5 °C) oder Hypothermie (2SD über der altersentsprechenden Norm) oder Bradykardie (Herzfrequenz 10 % unreife Neutrophile), 5. Nachweis oder Verdacht auf eine Infektion;
Hufnagel, M., Schmitt, H. -J.
openaire +1 more source
Multi-Subset Approach to Early Sepsis Prediction [PDF]
arXiv, 2023 Sepsis is a life-threatening organ malfunction caused by the host's inability to fight infection, which can lead to death without proper and immediate treatment. Therefore, early diagnosis and medical treatment of sepsis in critically ill populations at high risk for sepsis and sepsis-associated mortality are vital to providing the patient with rapid ...
arxiv
Sepsis biomarkers in unselected patients on admission to intensive or high-dependency care [PDF]
, 2013 Although many sepsis biomarkers have shown promise in selected patient groups, only C-reactive protein and procalcitonin (PCT) have entered clinical practice.
Berger, Mario +10 more
core +2 more sources
Takotsubo cardiomyopathy and sepsis: a systematic review [PDF]
, 2017 Takotsubo cardiomyopathy (TTC) is characterized by a systolic dysfunction localized in the apical and medial aspect of the left ventricle. It is usually related to physical or emotional stress.
Agarwal V +15 more
core +1 more source