Literature DB >> 18329159

A new paradigm for human resuscitation research using intelligent devices.

Charles F Babbs1, Andre E Kemeny, Weilun Quan, Gary Freeman.   

Abstract

OBJECTIVES: To develop new methods for studying correlations between the performance and outcome of resuscitation efforts in real-world clinical settings using data recorded by automatic devices, such as automatic external defibrillators (AEDs), and to explore effects of shock timing and chest compression depth in the field.
METHODS: In 695 records of AED use in the pre-hospital setting, continuous compression data were recorded using AEDs capable of measuring sternal motion during compressions, together with timing of delivered shocks and the electrocardiogram. In patients who received at least one shock, putative return of spontaneous circulation (P-ROSC) was defined as a regular, narrow complex electrical rhythm > 40 beats/min with no evidence of chest compressions at the end of the recorded data stream. Transient return of spontaneous circulation (t-ROSC) was defined as the presence of a post-shock organized rhythm > 40 beats/min within 60s, and sustained > or = 30 s. 2x2 contingency tables were constructed to examine the association between these outcomes and dichotomized time of shock delivery or chest compression depth, using the Mood median test for statistical significance.
RESULTS: The probability of P-ROSC for first shocks delivered < 50 s (the median time) after the start of resuscitation was 23%, versus 11% for first shocks > 50 s (p=0.028, one tailed). Similarly, the probability of t-ROSC for shorter times to shock was 29%, compared to the 15% for delayed first shocks (p=0.016). For shocks occurring > 3 min after initiation of rescue attempts, the probability of t-ROSC with pre-shock average compression depth > 5 cm was more than double that with compression depth < 5 cm (17.7% vs. 8.3%, p=0.028). For shocks > 5 min, the effect of deeper compressions increased (23.4% versus 8.2%, p=0.008).
CONCLUSIONS: Much can be learned from analysis of performance data automatically recorded by modern resuscitation devices. Use of the Mood median test of association proved to be sensitive, valid, distribution independent, noise-resistant and also resistant to biases introduced by the inclusion of hopeless cases. Efforts to shorten the time to delivery of the first shock and to encourage deeper chest compressions after the first shock are likely to improve resuscitation success. Such refinements can be effective even after an unknown period of preceding downtime.

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Year:  2008        PMID: 18329159     DOI: 10.1016/j.resuscitation.2007.12.018

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  13 in total

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Authors:  Ian G Stiell; Siobhan P Brown; James Christenson; Sheldon Cheskes; Graham Nichol; Judy Powell; Blair Bigham; Laurie J Morrison; Jonathan Larsen; Erik Hess; Christian Vaillancourt; Daniel P Davis; Clifton W Callaway
Journal:  Crit Care Med       Date:  2012-04       Impact factor: 7.598

2.  A Method to Detect Presence of Chest Compressions During Resuscitation Using Transthoracic Impedance.

Authors:  Jason Coult; Jennifer Blackwood; Thomas D Rea; Peter J Kudenchuk; Heemun Kwok
Journal:  IEEE J Biomed Health Inform       Date:  2019-05-24       Impact factor: 5.772

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5.  Implementation of Pit Crew Approach and Cardiopulmonary Resuscitation Metrics for Out-of-Hospital Cardiac Arrest Improves Patient Survival and Neurological Outcome.

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Journal:  J Am Heart Assoc       Date:  2016-01-11       Impact factor: 5.501

6.  Detection of spontaneous pulse using the acceleration signals acquired from CPR feedback sensor in a porcine model of cardiac arrest.

Authors:  Liang Wei; Gang Chen; Zhengfei Yang; Tao Yu; Weilun Quan; Yongqin Li
Journal:  PLoS One       Date:  2017-12-08       Impact factor: 3.240

7.  Adult Basic Life Support: International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.

Authors:  Theresa M Olasveengen; Mary E Mancini; Gavin D Perkins; Suzanne Avis; Steven Brooks; Maaret Castrén; Sung Phil Chung; Julie Considine; Keith Couper; Raffo Escalante; Tetsuo Hatanaka; Kevin K C Hung; Peter Kudenchuk; Swee Han Lim; Chika Nishiyama; Giuseppe Ristagno; Federico Semeraro; Christopher M Smith; Michael A Smyth; Christian Vaillancourt; Jerry P Nolan; Mary Fran Hazinski; Peter T Morley
Journal:  Resuscitation       Date:  2020-10-21       Impact factor: 5.262

8.  A new method for feedback on the quality of chest compressions during cardiopulmonary resuscitation.

Authors:  Digna M González-Otero; Jesus Ruiz; Sofía Ruiz de Gauna; Unai Irusta; Unai Ayala; Erik Alonso
Journal:  Biomed Res Int       Date:  2014-08-28       Impact factor: 3.411

9.  A reliable method for rhythm analysis during cardiopulmonary resuscitation.

Authors:  U Ayala; U Irusta; J Ruiz; T Eftestøl; J Kramer-Johansen; F Alonso-Atienza; E Alonso; D González-Otero
Journal:  Biomed Res Int       Date:  2014-05-07       Impact factor: 3.411

10.  Feedback on the Rate and Depth of Chest Compressions during Cardiopulmonary Resuscitation Using Only Accelerometers.

Authors:  Sofía Ruiz de Gauna; Digna M González-Otero; Jesus Ruiz; James K Russell
Journal:  PLoS One       Date:  2016-03-01       Impact factor: 3.240

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