Literature DB >> 27349642

Cardiopulmonary resuscitation quality and beyond: the need to improve real-time feedback and physiologic monitoring.

Steve Lin1,2,3, Damon C Scales4,5,6.   

Abstract

High-quality cardiopulmonary resuscitation (CPR) has been shown to improve survival outcomes after cardiac arrest. The current standard in studies evaluating CPR quality is to measure CPR process measures-for example, chest compression rate, depth, and fraction. Published studies evaluating CPR feedback devices have yielded mixed results. Newer approaches that seek to optimize CPR by measuring physiological endpoints during the resuscitation may lead to individualized patient care and improved patient outcomes.

Entities:  

Keywords:  Cardiopulmonary resuscitation; End-tidal carbon dioxide; Feedback; Near-infrared spectroscopy; Randomized controlled trial

Mesh:

Year:  2016        PMID: 27349642      PMCID: PMC4924329          DOI: 10.1186/s13054-016-1371-9

Source DB:  PubMed          Journal:  Crit Care        ISSN: 1364-8535            Impact factor:   9.097


Background

Vahedian-Azimi et al. [1] conducted the first in-hospital randomized controlled trial (RCT) evaluating a new cardiopulmonary resuscitation (CPR) feedback device—the Cardio First Angel—in cardiac arrest patients. High-quality CPR has been shown to improve survival outcomes after cardiac arrest [2] and continues to be a focus of quality assurance and improvement programs. There are multiple feedback devices that are commercially available to improve the quality of delivered CPR, but evaluations have yielded mixed results in published RCTs and observational studies [3-6]. Appropriately, international resuscitation guidelines do not currently recommend implementing CPR feedback devices for clinical practice in isolation but rather as part of a comprehensive system of care for cardiac arrest [5, 6].

Main text

There are several important CPR process measures that currently define high-quality CPR: compression rate (100–120/minute), compression depth (5–6 cm in adults), allowing for complete chest recoil after each compression, and minimizing interruptions in compressions measured by chest compression fraction [5, 6]. These quantitative CPR process measures have been the most common targets of prior evaluations of CPR [3, 4]. Vahedian-Azimi et al. [1] instead developed two checklists to evaluate CPR: an effectiveness score (ranging from 0 to 10) and a guideline adherence score (ranging from 0 to 10). These scores assessed several aspects of CPR quality but a limitation is that assessors were unblinded to treatment allocation, increasing the potential for measurement bias. Overall, the new device improved both measures of CPR quality. The generalizability of these findings is also uncertain, especially considering that rates of cardiac arrest were markedly higher (approximately 35 %) than is typically expected among patients admitted to ICUs in other regions [7]. Chest compressions guided by CPR feedback devices to ensure adequate rate and depth are important [8]; however, their effect on patient physiology remains unclear. Indeed, current resuscitation guidelines use a “one size fits all” strategy, recommending the same compression rate and depth for all patients. Newer approaches to measuring physiology in real time during CPR may improve our ability to evaluate the quality of resuscitation in the future. Physiologic monitoring, specifically cardiac output and coronary and cerebral perfusion during resuscitation, are likely to be more sensitive to small changes that may guide resuscitative efforts, and at least in some studies have been correlated with improved clinical outcomes [9, 10]. However, these measurements are difficult to obtain during real-life cardiac arrest resuscitation, particularly in the out-of-hospital setting. Another area of active investigation is the use of end-tidal carbon dioxide (ETCO2) measurements, which are an indirect correlate of cardiac output and are readily available to rescuers performing CPR in cardiac arrest patients; however, as yet there are no recommended ETCO2 target values for CPR, and their relationship with survival remains unclear [11]. There is even less evidence for other physiologic measurements; for example, near-infrared spectroscopy to measure cerebral oximetry [12-15].

Conclusion

As the ability to monitor physiology during cardiac arrest resuscitation improves, we should be able to individualize patient care by performing goal-directed CPR with the ultimate goal of improving patient survival and functional outcomes. This will require focused research into the effectiveness of goal-directed CPR using physiologic monitoring compared to current CPR standards.

Abbreviations

CPR, cardiopulmonary resuscitation; ETCO2, end-tidal carbon dioxide; RCT, randomized controlled trial.
  15 in total

Review 1.  Part 4: Advanced Life Support: 2015 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.

Authors:  Clifton W Callaway; Jasmeet Soar; Mayuki Aibiki; Bernd W Böttiger; Steven C Brooks; Charles D Deakin; Michael W Donnino; Saul Drajer; Walter Kloeck; Peter T Morley; Laurie J Morrison; Robert W Neumar; Tonia C Nicholson; Jerry P Nolan; Kazuo Okada; Brian J O'Neil; Edison F Paiva; Michael J Parr; Tzong-Luen Wang; Jonathan Witt
Journal:  Circulation       Date:  2015-10-20       Impact factor: 29.690

2.  The sixth vital sign: prehospital end-tidal carbon dioxide predicts in-hospital mortality and metabolic disturbances.

Authors:  Christopher L Hunter; Salvatore Silvestri; George Ralls; Steven Bright; Linda Papa
Journal:  Am J Emerg Med       Date:  2013-11-04       Impact factor: 2.469

3.  Noninvasive regional cerebral oxygen saturation for neurological prognostication of patients with out-of-hospital cardiac arrest: a prospective multicenter observational study.

Authors:  Noritoshi Ito; Kei Nishiyama; Clifton W Callaway; Tomohiko Orita; Kei Hayashida; Hideki Arimoto; Mitsuru Abe; Tomoyuki Endo; Akira Murai; Ken Ishikura; Noriaki Yamada; Masahiro Mizobuchi; Hideki Anan; Kazuo Okuchi; Hideto Yasuda; Toshiaki Mochizuki; Yuka Tsujimura; Takeo Nakayama; Tetsuo Hatanaka; Ken Nagao
Journal:  Resuscitation       Date:  2014-03-05       Impact factor: 5.262

Review 4.  Incidence and outcome from adult cardiac arrest occurring in the intensive care unit: a systematic review of the literature.

Authors:  Ilmar Efendijev; Jouni Nurmi; Maaret Castrén; Markus B Skrifvars
Journal:  Resuscitation       Date:  2014-01-08       Impact factor: 5.262

Review 5.  Systematic review and meta-analysis of hemodynamic-directed feedback during cardiopulmonary resuscitation in cardiac arrest.

Authors:  A S Chopra; N Wong; C P Ziegler; L J Morrison
Journal:  Resuscitation       Date:  2016-02-11       Impact factor: 5.262

6.  The addition of voice prompts to audiovisual feedback and debriefing does not modify CPR quality or outcomes in out of hospital cardiac arrest--a prospective, randomized trial.

Authors:  Andreas Bohn; Thomas P Weber; Sascha Wecker; Ulf Harding; Nani Osada; Hugo Van Aken; Roman P Lukas
Journal:  Resuscitation       Date:  2010-12-13       Impact factor: 5.262

7.  A pilot study examining the role of regional cerebral oxygen saturation monitoring as a marker of return of spontaneous circulation in shockable (VF/VT) and non-shockable (PEA/Asystole) causes of cardiac arrest.

Authors:  Anna Ahn; Asad Nasir; Hanan Malik; Francis D'Orazi; Sam Parnia
Journal:  Resuscitation       Date:  2013-08-12       Impact factor: 5.262

Review 8.  Part 3: Adult basic life support and automated external defibrillation: 2015 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science with Treatment Recommendations.

Authors:  Gavin D Perkins; Andrew H Travers; Robert A Berg; Maaret Castren; Julie Considine; Raffo Escalante; Raul J Gazmuri; Rudolph W Koster; Swee Han Lim; Kevin J Nation; Theresa M Olasveengen; Tetsuya Sakamoto; Michael R Sayre; Alfredo Sierra; Michael A Smyth; David Stanton; Christian Vaillancourt
Journal:  Resuscitation       Date:  2015-10-15       Impact factor: 5.262

9.  Effect of real-time feedback during cardiopulmonary resuscitation outside hospital: prospective, cluster-randomised trial.

Authors:  David Hostler; Siobhan Everson-Stewart; Thomas D Rea; Ian G Stiell; Clifton W Callaway; Peter J Kudenchuk; Gena K Sears; Scott S Emerson; Graham Nichol
Journal:  BMJ       Date:  2011-02-04

10.  Effect of the Cardio First Angel™ device on CPR indices: a randomized controlled clinical trial.

Authors:  Amir Vahedian-Azimi; Mohammadreza Hajiesmaeili; Ali Amirsavadkouhi; Hamidreza Jamaati; Morteza Izadi; Seyed J Madani; Seyed M R Hashemian; Andrew C Miller
Journal:  Crit Care       Date:  2016-05-17       Impact factor: 9.097

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  7 in total

1.  Automatic identification of compressions and ventilations during CPR based on the fuzzy c-means clustering and deep belief network.

Authors:  He-Hua Zhang; Li Yang; An-Hai Wei; Ao-Wen Duan; Yong-Ming Li; Ping Zhao; Yong-Qin Li
Journal:  Ann Transl Med       Date:  2020-09

2.  Use of a Real-Time Training Software (Laerdal QCPR®) Compared to Instructor-Based Feedback for High-Quality Chest Compressions Acquisition in Secondary School Students: A Randomized Trial.

Authors:  Andrea Cortegiani; Vincenzo Russotto; Francesca Montalto; Pasquale Iozzo; Roberta Meschis; Marinella Pugliesi; Dario Mariano; Vincenzo Benenati; Santi Maurizio Raineri; Cesare Gregoretti; Antonino Giarratano
Journal:  PLoS One       Date:  2017-01-05       Impact factor: 3.240

3.  Impacts of chest compression cycle length and real-time feedback with a CPRmeter® on chest compression quality in out-of-hospital cardiac arrest: study protocol for a multicenter randomized controlled factorial plan trial.

Authors:  Clément Buléon; Jean-Jacques Parienti; Elodie Morilland-Lecoq; Laurent Halbout; Eric Cesaréo; Pierre-Yves Dubien; Benoit Jardel; Christophe Boyer; Kévin Husson; Florian Andriamirado; Xavier Benet; Emmanuel Morel-Marechal; Antoine Aubrion; Catalin Muntean; Erwan Dupire; Eric Roupie; Hervé Hubert; Christian Vilhelm; Pierre-Yves Gueugniaud
Journal:  Trials       Date:  2020-07-08       Impact factor: 2.279

4.  Use of an end-tidal carbon dioxide-guided algorithm during cardiopulmonary resuscitation improves short-term survival in paediatric swine.

Authors:  Caitlin E O'Brien; Polan T Santos; Ewa Kulikowicz; Shawn Adams; Jennifer K Lee; Elizabeth A Hunt; Raymond C Koehler; Donald H Shaffner
Journal:  Resusc Plus       Date:  2021-11-11

5.  Visual attention during pediatric resuscitation with feedback devices: a randomized simulation study.

Authors:  Michael Wagner; Peter Gröpel; Felix Eibensteiner; Lisa Kessler; Katharina Bibl; Isabel T Gross; Angelika Berger; Francesco S Cardona
Journal:  Pediatr Res       Date:  2021-07-21       Impact factor: 3.953

6.  Comprehensive cardiopulmonary life support (CCLS) for cardiopulmonary resuscitation by trained paramedics and medics inside the hospital.

Authors:  Rakesh Garg; Syed Moied Ahmed; Mukul Chandra Kapoor; Ssc Chakra Rao; Bibhuti Bhusan Mishra; M Venkatagiri Kalandoor; Baljit Singh; Jigeeshu Vasishtha Divatia
Journal:  Indian J Anaesth       Date:  2017-11

7.  Is it time to consider visual feedback systems the gold standard for chest compression skill acquisition?

Authors:  Andrea Cortegiani; Vincenzo Russotto; Enrico Baldi; Enrico Contri; Santi Maurizio Raineri; Antonino Giarratano
Journal:  Crit Care       Date:  2017-07-04       Impact factor: 9.097

  7 in total

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