Literature DB >> 15836688

Observations and warning signs prior to cardiac arrest. Should a medical emergency team intervene earlier?

J Nurmi1, V P Harjola, J Nolan, M Castrén.   

Abstract

BACKGROUND: The Medical Emergency Team (MET) has evolved in some hospitals as a means of delivering effective treatment early enough to prevent cardiac arrests. Our aim was to analyze the effectiveness of observation practice to detect abnormalities in vital signs prior to cardiac arrest and to determine the need for a MET system in Finnish hospitals.
METHODS: The charts of patients who suffered cardiac arrest during 18 months in four hospitals were reviewed. The vital signs, symptoms and interventions during 8 h prior to arrest were recorded and analyzed against trigger criteria of the MET.
RESULTS: During the study period, 110 patients suffered cardiac arrest in hospitals, and 56 (51%) of the arrests occurred on the wards. Of those patients, 30 (54%) had an abnormal vital sign fulfilling the MET criteria, documented on average 3.8 h prior to the arrest. During this period, 13 patients did not receive any intervention (e.g. supplemental oxygen or medication), eight received intervention within 1 h and nine received intervention after more than 1 h. Response to the first intervention was not attained in any patient; nevertheless re-interventions took place in one patient only.
CONCLUSION: Significant physiological deterioration seems to be common in the hours before a cardiac arrest on the wards of Finnish hospitals, suggesting that implementation of a MET-system may be worthwhile. However, the practice of vital sign observation by the nursing staff should be improved before maximal benefit of a MET can be achieved.

Entities:  

Mesh:

Year:  2005        PMID: 15836688     DOI: 10.1111/j.1399-6576.2005.00679.x

Source DB:  PubMed          Journal:  Acta Anaesthesiol Scand        ISSN: 0001-5172            Impact factor:   2.105


  14 in total

Review 1.  [Medical emergency teams: current situation and perspectives of preventive in-hospital intensive care medicine].

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Journal:  Anaesthesist       Date:  2008-01       Impact factor: 1.041

2.  Implementation of the rapid response system in the acute care ecosystem.

Authors:  Chun Lei Tan; Chubin Goh; Tong Khee Tan
Journal:  Singapore Med J       Date:  2020-11       Impact factor: 1.858

3.  [Analysis of response reports of an in-hospital emergency team : Three years experience at a maximum medical care hospital].

Authors:  M Kumpch; T Luiz; C Madler
Journal:  Anaesthesist       Date:  2010-03       Impact factor: 1.041

4.  Risk for Cardiorespiratory Instability Following Transfer to a Monitored Step-Down Unit.

Authors:  Eliezer Bose; Lujie Chen; Gilles Clermont; Artur Dubrawski; Michael R Pinsky; Dianxu Ren; Leslie A Hoffman; Marilyn Hravnak
Journal:  Respir Care       Date:  2017-01-24       Impact factor: 2.258

Review 5.  Rapid response system.

Authors:  Tetsuro Sakai; Michael A Devita
Journal:  J Anesth       Date:  2009-08-14       Impact factor: 2.078

6.  Mature rapid response system and potentially avoidable cardiopulmonary arrests in hospital.

Authors:  Sanjay Galhotra; Michael A DeVita; Richard L Simmons; Mary Amanda Dew
Journal:  Qual Saf Health Care       Date:  2007-08

Review 7.  Bench-to-bedside review: The MET syndrome--the challenges of researching and adopting medical emergency teams.

Authors:  Augustine Tee; Paolo Calzavacca; Elisa Licari; Donna Goldsmith; Rinaldo Bellomo
Journal:  Crit Care       Date:  2008-01-23       Impact factor: 9.097

8.  The impact of the introduction of critical care outreach services in England: a multicentre interrupted time-series analysis.

Authors:  Haiyan Gao; David A Harrison; Gareth J Parry; Kathleen Daly; Christian P Subbe; Kathy Rowan
Journal:  Crit Care       Date:  2007       Impact factor: 9.097

9.  SEND: a system for electronic notification and documentation of vital sign observations.

Authors:  David Wong; Timothy Bonnici; Julia Knight; Lauren Morgan; Paul Coombes; Peter Watkinson
Journal:  BMC Med Inform Decis Mak       Date:  2015-08-13       Impact factor: 2.796

10.  Imperfect implementation of an early warning scoring system in a Danish teaching hospital: a cross-sectional study.

Authors:  Mark Niegsch; Maria Louise Fabritius; Jacob Anhøj
Journal:  PLoS One       Date:  2013-07-26       Impact factor: 3.240

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