Performance of the quick Sequential (sepsis-related) Organ Failure Assessment score as a prognostic tool in infected patients outside the intensive care unit: a …

JU Song, CK Sin, HK Park, SR Shim, J Lee - Critical Care, 2018 - Springer
Background The usefulness of the quick Sequential (Sepsis-related) Organ Failure
Assessment (qSOFA) score in providing bedside criteria for early prediction of poor …

Comparison of SIRS, qSOFA, and NEWS for the early identification of sepsis in the Emergency Department

OA Usman, AA Usman, MA Ward - The American journal of emergency …, 2019 - Elsevier
Objectives The increasing use of sepsis screening in the Emergency Department (ED) and
the Sepsis-3 recommendation to use the quick Sepsis-related Organ Failure Assessment …

Systemic inflammatory response syndrome, quick sequential organ function assessment, and organ dysfunction: insights from a prospective database of ED patients …

JM Williams, JH Greenslade, JV McKenzie, K Chu… - Chest, 2017 - Elsevier
Background A proposed revision of sepsis definitions has abandoned the systemic
inflammatory response syndrome (SIRS), defined organ dysfunction as an increase in total …

Epidemiology of sepsis and septic shock in critical care units: comparison between sepsis-2 and sepsis-3 populations using a national critical care database

M Shankar-Hari, DA Harrison… - BJA: British Journal …, 2017 - academic.oup.com
Background New sepsis and septic shock definitions could change the epidemiology of
sepsis because of differences in criteria. We therefore compared the sepsis populations …

An integrated clinico-metabolomic model improves prediction of death in sepsis

RJ Langley, EL Tsalik, JC Velkinburgh… - Science translational …, 2013 - science.org
Sepsis is a common cause of death, but outcomes in individual patients are difficult to
predict. Elucidating the molecular processes that differ between sepsis patients who survive …

Evaluation of a machine learning algorithm for up to 48-hour advance prediction of sepsis using six vital signs

C Barton, U Chettipally, Y Zhou, Z Jiang… - Computers in biology …, 2019 - Elsevier
Objective Sepsis remains a costly and prevalent syndrome in hospitals; however, machine
learning systems can increase timely sepsis detection using electronic health records. This …

Reducing patient mortality, length of stay and readmissions through machine learning-based sepsis prediction in the emergency department, intensive care unit and …

A McCoy, R Das - BMJ open quality, 2017 - bmjopenquality.bmj.com
Introduction Sepsis management is a challenge for hospitals nationwide, as severe sepsis
carries high mortality rates and costs the US healthcare system billions of dollars each year …

Usefulness of severity scores in patients with suspected infection in the emergency department: a systematic review

P Calle, L Cerro, J Valencia, F Jaimes - The Journal of emergency medicine, 2012 - Elsevier
BACKGROUND: Score systems for severity of illness and organ dysfunction have been
validated and used as tools to predict the risk of death in intensive care unit (ICU) patients …

Cutting edge: an endogenous pathway to systemic inflammatory response syndrome (SIRS)-like reactions through Toll-like receptor 4

GB Johnson, GJ Brunn, JL Platt - The Journal of Immunology, 2004 - journals.aai.org
Systemic inflammatory response syndrome (SIRS) is typically associated with trauma,
surgery, or acute pancreatitis. SIRS resembles sepsis, triggered by exogenous …

Early identification of intensive care unit-acquired infections with daily monitoring of C-reactive protein: a prospective observational study

P Póvoa, L Coelho, E Almeida, A Fernandes, R Mealha… - Critical Care, 2006 - Springer
Introduction Manifestations of sepsis are sensitive but are poorly specific of infection. Our
aim was to assess the value of daily measurements of C-reactive protein (CRP), temperature …