Literature DB >> 19157652

Validation of 3 termination of resuscitation criteria for good neurologic survival after out-of-hospital cardiac arrest.

Michael L Ruygrok1, Richard L Byyny, Jason S Haukoos.   

Abstract

STUDY
OBJECTIVE: Several termination of resuscitation criteria have been proposed to identify patients who will not survive to hospital discharge after out-of-hospital cardiac arrest. However, only 1 set has been derived to specifically predict survival to hospital discharge with good neurologic function. The objectives of this study were to externally validate the basic life support (BLS) termination of resuscitation, advanced life support (ALS) termination of resuscitation, and neurologic termination of resuscitation criteria and compare their abilities to predict survival to hospital discharge with good neurologic function after out-of-hospital cardiac arrest.
METHODS: This was a secondary analysis of the Denver Cardiac Arrest Registry. Consecutive adult nontraumatic cardiac arrest patients in Denver County from January 1, 2003, through December 31, 2004, were included in the study. The BLS termination of resuscitation, ALS termination of resuscitation, and neurologic termination of resuscitation criteria were applied to the cohort, and their predictive proportions and 95% confidence intervals (CIs) were calculated for each set of criteria.
RESULTS: Of the 715 patients included in this study, the median age was 65 years (interquartile range 52 to 78 years), and 69% were male patients. In addition, 223 (31%) had return of spontaneous circulation, 175 (24%) survived to hospital admission, 58 (8%) survived to hospital discharge, and 42 (6%) survived to hospital discharge with good neurologic function. The proportion of patients with good neurologic survival to hospital discharge correctly identified for continued resuscitation was 100% (95% CI 92% to 100%) for all 3 termination of resuscitation criteria. The proportion of patients with poor neurologic survival to hospital discharge or no survival to hospital discharge correctly identified as eligible for termination of resuscitation was 36% (95% CI 32% to 40%) with the BLS termination of resuscitation criteria, 25% (95% CI 22% to 29%) with the ALS termination of resuscitation criteria, and 6% (95% CI 4% to 8%) with the neurologic termination of resuscitation criteria. Use of the BLS termination of resuscitation criteria would have reduced transport of the largest number of patients.
CONCLUSION: All 3 termination of resuscitation criteria had equally high abilities to identify patients requiring continued resuscitation. The BLS termination of resuscitation criteria, however, had the best combined ability to predict good neurologic survival and poor neurologic survival or death. These findings and the relative simplicity of the BLS termination of resuscitation criteria support their use.

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Year:  2009        PMID: 19157652     DOI: 10.1016/j.annemergmed.2008.11.012

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  7 in total

Review 1.  [Prognostic assessment as the basis for limiting therapy in unconscious patients after cardiopulmonary resuscitation].

Authors:  H-R Arntz; H-C Mochmann
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2.  [Comments on the 2010 guidelines on cardiopulmonary resuscitation of the European Resuscitation Council].

Authors:  V Wenzel; S G Russo; H R Arntz; J Bahr; M A Baubin; B W Böttiger; B Dirks; U Kreimeier; M Fries; C Eich
Journal:  Anaesthesist       Date:  2010-12       Impact factor: 1.041

3.  The scene time interval and basic life support termination of resuscitation rule in adult out-of-hospital cardiac arrest.

Authors:  Tae Han Kim; Sang Do Shin; Yu Jin Kim; Chu Hyun Kim; Jeong Eun Kim
Journal:  J Korean Med Sci       Date:  2014-12-23       Impact factor: 2.153

4.  Applying the termination of resuscitation rules to out-of-hospital cardiac arrests of both cardiac and non-cardiac etiologies: a prospective cohort study.

Authors:  Masahiro Kashiura; Yuichi Hamabe; Akiko Akashi; Atsushi Sakurai; Yoshio Tahara; Naohiro Yonemoto; Ken Nagao; Arino Yaguchi; Naoto Morimura
Journal:  Crit Care       Date:  2016-03-01       Impact factor: 9.097

5.  Factors associated with initiation of medical advanced cardiac life support after out-of-hospital cardiac arrest.

Authors:  Jean-Christophe Orban; Didier Giolito; Jordan Tosi; Franck Le Duff; Nicolas Boissier; Christophe Mamino; Emmanuelle Molinatti; Thai Se Ung; Yassine Kabsy; Nicolas Fraimout; Julie Contenti; Jacques Levraut
Journal:  Ann Intensive Care       Date:  2016-02-11       Impact factor: 6.925

6.  A stepped-wedge randomised-controlled trial assessing the implementation, impact and costs of a prospective feedback loop to promote appropriate care and treatment for older patients in acute hospitals at the end of life: study protocol.

Authors:  Xing J Lee; Alison Farrington; Hannah Carter; Carla Shield; Nicholas Graves; Steven M McPhail; Gillian Harvey; Ben P White; Lindy Willmott; Magnolia Cardona; Ken Hillman; Leonie Callaway; Adrian G Barnett
Journal:  BMC Geriatr       Date:  2020-07-29       Impact factor: 3.921

7.  The predictive performance of current termination-of-resuscitation rules in patients following out-of-hospital cardiac arrest in Asian countries: A cross-sectional multicentre study.

Authors:  Shu-Hsien Hsu; Jen-Tang Sun; Edward Pei-Chuan Huang; Tatsuya Nishiuchi; Kyoung Jun Song; Benjamin Leong; Nik Hisamuddin Nik Ab Rahman; Pairoj Khruekarnchana; G Y Naroo; Ming-Ju Hsieh; Shu-Hui Chang; Wen-Chu Chiang; Matthew Huei-Ming Ma
Journal:  PLoS One       Date:  2022-08-10       Impact factor: 3.752

  7 in total

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