Literature DB >> 16053678

Does earlier detection of critically ill patients on surgical wards lead to better outcomes?

C P Subbe1, E Williams, L Fligelstone, L Gemmell.   

Abstract

INTRODUCTION: Patients at risk of catastrophic deterioration are often identified too late. Delayed identification of sick patients and delayed referral to intensive care units might be associated with poor outcomes. The goal of the review is to assess the potential impact of systems that enable early detection of critically ill surgical patients.
MATERIALS AND METHODS: A Medline search was performed in September 2004. Other articles were identified using the bibliographies of papers found through Medline. All interventional trials reviewing the effect of Critical Care Outreach and Medical Emergency Teams were reviewed.
RESULTS: There is evidence that simple algorithms based on bedside observations can identify a large proportion of sick patients on general wards. Non-randomised studies have shown mixed results on impact of these interventions on mortality, cardiopulmonary arrests and intensive care admissions. The majority of studies do not specifically address surgical patients. A ward-based randomised trial from the UK seems to suggest improved mortality following the introduction of a Critical Care Outreach service with an Early Warning Score. DISCUSSION AND
CONCLUSION: The literature about Critical Care Outreach and Medical Emergency teams is characterised by methodological weaknesses. However there is a common suggestion that early detection might improve outcome of critically ill surgical patients.

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Year:  2005        PMID: 16053678      PMCID: PMC1963939          DOI: 10.1308/003588405X50921

Source DB:  PubMed          Journal:  Ann R Coll Surg Engl        ISSN: 0035-8843            Impact factor:   1.891


  7 in total

1.  Identifying infected emergency department patients admitted to the hospital ward at risk of clinical deterioration and intensive care unit transfer.

Authors:  Maura Kennedy; Nina Joyce; Michael D Howell; J Lawrence Mottley; Nathan I Shapiro
Journal:  Acad Emerg Med       Date:  2010-10       Impact factor: 3.451

Review 2.  Statistical Modeling and Aggregate-Weighted Scoring Systems in Prediction of Mortality and ICU Transfer: A Systematic Review.

Authors:  Daniel T Linnen; Gabriel J Escobar; Xiao Hu; Elizabeth Scruth; Vincent Liu; Caroline Stephens
Journal:  J Hosp Med       Date:  2019-03       Impact factor: 2.960

3.  Ambulance alerting to hospital: the need for clearer guidance.

Authors:  E Brown; A Bleetman
Journal:  Emerg Med J       Date:  2006-10       Impact factor: 2.740

Review 4.  Opportunities for machine learning to improve surgical ward safety.

Authors:  Tyler J Loftus; Patrick J Tighe; Amanda C Filiberto; Jeremy Balch; Gilbert R Upchurch; Parisa Rashidi; Azra Bihorac
Journal:  Am J Surg       Date:  2020-02-26       Impact factor: 2.565

Review 5.  Medical emergency team syndromes and an approach to their management.

Authors:  Daryl Jones; Graeme Duke; John Green; Juris Briedis; Rinaldo Bellomo; Andrew Casamento; Andrea Kattula; Margaret Way
Journal:  Crit Care       Date:  2006-02       Impact factor: 9.097

6.  Implementation of an automated early warning scoring system in a surgical ward: Practical use and effects on patient outcomes.

Authors:  Eveline Mestrom; Ashley De Bie; Melissa van de Steeg; Merel Driessen; Louis Atallah; Rick Bezemer; R Arthur Bouwman; Erik Korsten
Journal:  PLoS One       Date:  2019-05-08       Impact factor: 3.240

7.  Association of Postoperative Undertriage to Hospital Wards With Mortality and Morbidity.

Authors:  Tyler J Loftus; Matthew M Ruppert; Tezcan Ozrazgat-Baslanti; Jeremy A Balch; Philip A Efron; Patrick J Tighe; William R Hogan; Parisa Rashidi; Gilbert R Upchurch; Azra Bihorac
Journal:  JAMA Netw Open       Date:  2021-11-01
  7 in total

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