Shared features of endothelial dysfunction between sepsis and its preceding risk factors (aging and chronic disease) [PDF]
, 2018 Acute vascular endothelial dysfunction is a central event in the pathogenesis of sepsis,increasing vascular permeability, promoting activation of the coagulation cascade, tissue edema and compromising perfusion of vital organs. Aging and chronic diseases(hypertension,dyslipidaemia,diabetes mellitus,chronic kidney disease,cardiovascular disease ...
arxiv +1 more source
Increased gene copy number of DEFA1/DEFA3 worsens sepsis by inducing endothelial pyroptosis. [PDF]
, 2019 Sepsis claims an estimated 30 million episodes and 6 million deaths per year, and treatment options are rather limited. Human neutrophil peptides 1-3 (HNP1-3) are the most abundant neutrophil granule proteins but their neutrophil content varies because ...
Chen, QiXing +12 more
core +1 more source
Effect of a machine learning-based severe sepsis prediction algorithm on patient survival and hospital length of stay: a randomised clinical trial. [PDF]
, 2017 IntroductionSeveral methods have been developed to electronically monitor patients for severe sepsis, but few provide predictive capabilities to enable early intervention; furthermore, no severe sepsis prediction systems have been previously validated in
Barton, Christopher W +4 more
core +2 more sources
Seminars in Oncology Nursing, 1999 To review infection and sepsis in patients with cancer and to provide an overview of controversies and research-based practices of infectious complications and management strategies.Research studies, review articles, web sites, and consensus documents.Traditional assumptions about infection and its optimal management are redefined by research regarding
openaire +2 more sources
Impact of neonatal intensive care bed configuration on rates of late-onset bacterial sepsis and methicillin-resistant Staphylococcus aureus colonization [PDF]
, 2015 OBJECTIVES: Infections cause significant morbidity and mortality in neonatal intensive care units (NICUs). The association between nursery design and nosocomial infections has not been delineated. We hypothesized that rates of colonization by methicillin-
Burnham, Carey-Ann D +6 more
core +2 more sources
Activity and Circadian Rhythm of Sepsis Patients in the Intensive Care Unit [PDF]
arXiv, 2017 Early mobilization of critically ill patients in the Intensive Care Unit (ICU) can prevent adverse outcomes such as delirium and post-discharge physical impairment. To date, no studies have characterized activity of sepsis patients in the ICU using granular actigraphy data.
arxiv
Sepsis Prediction and Vital Signs Ranking in Intensive Care Unit Patients [PDF]
arXiv, 2018 We study multiple rule-based and machine learning (ML) models for sepsis detection. We report the first neural network detection and prediction results on three categories of sepsis. We have used the retrospective Medical Information Mart for Intensive Care (MIMIC)-III dataset, restricted to intensive care unit (ICU) patients.
arxiv
Toward Automated Early Sepsis Alerting: Identifying Infection Patients from Nursing Notes [PDF]
arXiv, 2018 Severe sepsis and septic shock are conditions that affect millions of patients and have close to 50% mortality rate. Early identification of at-risk patients significantly improves outcomes. Electronic surveillance tools have been developed to monitor structured Electronic Medical Records and automatically recognize early signs of sepsis. However, many
arxiv
Temporal Pattern Discovery for Accurate Sepsis Diagnosis in ICU Patients [PDF]
arXiv, 2017 Sepsis is a condition caused by the body's overwhelming and life-threatening response to infection, which can lead to tissue damage, organ failure, and finally death. Common signs and symptoms include fever, increased heart rate, increased breathing rate, and confusion. Sepsis is difficult to predict, diagnose, and treat.
arxiv
DeepAISE -- An End-to-End Development and Deployment of a Recurrent Neural Survival Model for Early Prediction of Sepsis [PDF]
arXiv, 2019 Sepsis, a dysregulated immune system response to infection, is among the leading causes of morbidity, mortality, and cost overruns in the Intensive Care Unit (ICU). Early prediction of sepsis can improve situational awareness amongst clinicians and facilitate timely, protective interventions.
arxiv