Automated monitoring compared to standard care for the early detection of sepsis in critically ill patients-Reference-Cited by-同舟云学术

Automated monitoring compared to standard care for the early detection of sepsis in critically ill patients

Published:2018-06-25 Issue:1 Volume:2019 Page:
ISSN:1465-1858
Container-title:Cochrane Database of Systematic Reviews
language:en
Short-container-title:

Author:

Warttig Sheryl¹,Alderson Phil¹,Evans David JW²,Lewis Sharon R³,Kourbeti Irene S⁴,Smith Andrew F⁵

Affiliation:

1. National Institute for Health and Care Excellence; Level 1A, City Tower Piccadilly Plaza Manchester UK M1 4BD

2. Lancaster Medical School; Lancaster UK LA1 4YG

3. Royal Lancaster Infirmary; Lancaster Patient Safety Research Unit; Pointer Court 1, Ashton Road Lancaster UK LA1 4RP

4. Furness General Hospital; Department of Acute and Emergency Medicine; Barrow-in-Furness UK

5. Royal Lancaster Infirmary; Department of Anaesthesia; Ashton Road Lancaster Lancashire UK LA1 4RP

Publisher

Wiley

Subject

Pharmacology (medical)

Link

https://www.cochranelibrary.com/cdsr/doi/10.1002/14651858.CD012404.pub2/epdf/full

Reference51 articles.

1. Automated surveillance of modified SIRS criteria is an effective tool for detection of sepsis in the medical intensive care unit;Hooper;American Journal of Respiratory and Critical Care Medicine,2010

2. Modified SIRS criteria for detection of sepsis in the intensive care unit;Hooper;American Journal of Respiratory Critical Care Medicine,2011

3. Randomized trial of automated, electronic monitoring to facilitate early detection of sepsis in the intensive care unit;Hooper;Critical Care Medicine,2012

4. Computer versus paper system for recognition and management of sepsis in surgical intensive care;Croft;Journal of Trauma and Acute Care Surgery,2014

5. Development of a diagnostic model for early differentiation of sepsis and SIRS in pediatric patients - a data-driven approach using machine-learning algorithm;Karch;European Journal of Epidemiology,2016

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