Abstract
Background
Methods
Results
Conclusions
Keywords
Abbreviations:
A-AD (Stanford type-A aortic dissection), CA (cardiac arrest), CI (confidence interval), CC (chest compression), CPA (cardiopulmonary arrest), CPR (cardiopulmonary resuscitation), DNAR (do not attempt resuscitation), ECMO (extracorporeal membrane oxygenation), EMS (emergency medical service), IPTW (inverse probability of treatment weighting), NIRS (near-infrared spectroscopy OHCA, out-of-hospital cardiac arrest), OR (odds ratio), ROSC (return of spontaneous circulation), rSO2 (regional cerebral oxygen saturation), SAE (serious adverse events)Introduction
- Merchant R.M.
- Topjian A.A.
- Panchal A.R.
- et al.
- Takegawa R.
- Hayashida K.
- Rolston D.M.
- et al.
Methods
Patient eligibility and participating hospitals
EMS in Japan and rSO2 monitoring by NIRS during CPR
Continuous CC resuscitation algorithm with rSO2 assessment

rSO2 guided resuscitation protocol
Baseline value (%) (mean value for 1 minute) | Duration of continuous chest compression |
---|---|
≥ 50 | for 16 minutes or until by increase in rSO2 value by 10% |
≥ 40 to <50 | for 16 minutes or until by increase in rSO2 value by 20% |
< 40 | for 16 minutes or until by increase in rSO2 value by 35% |
Continuous CC and general resuscitation protocol
Data collection and outcomes
Statistical analysis
Results

All elligible patients | Patients in Sensitivity analysis 1 | Patients in Sensitivity analysis 2 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Variable | Level | Control (N=86) | TripleCPR (N=225) | p | Missing (%) | Control (N=82) | TripleCPR (N=141) | p | Missing (%) | Control (N=86) | TripleCPR (N=167) | p | Missing (%) |
Age, years (median [IQR]) | 76 [68, 84] | 77 [70, 83] | 0.96 | 0 | 76 [69, 84] | 76 [67, 83] | 0.50 | 0 | 76 [68, 84] | 77 [68, 84] | 0.91 | 0 | |
Male % (freq) | 66 (57) | 57 (129) | 0.19 | 0 | 67 (55) | 60 (85) | 0.39 | 0 | 66 (57) | 55 (92) | 0.11 | 0 | |
Witness % (freq) | 43 (37) | 42 (94) | 0.94 | 0 | 43 (35) | 40 (57) | 0.85 | 0 | 43 (37) | 43 (72) | 1.00 | 0 | |
Bystander CPR % (freq) | 42 (36) | 55 (123) | 0.06 | 0 | 42 (34) | 58 (82) | 0.02 | 0 | 42 (36) | 58 (96) | 0.03 | 0 | |
Prehospital Adrenaline (median [IQR]) (mg) | 0 [0, 0] | 0 [0, 1] | 0.003 | 1 | 0 [0, 0] | 0 [0, 0] | 0.16 | 1 | 0 [0, 0] | 0 [0, 0] | 0.07 | 1 | |
Adrenaline administration mg, % (freq) | 0 | 87 (74) | 70 (158) | 86 (70) | 79 (111) | 87 (74) | 77 (129) | ||||||
1 | 2 (2) | 7 (16) | 3 (2) | 5 (7) | 2 (2) | 5 (9) | |||||||
2 | 4 (3) | 8 (17) | 4 (3) | 4 (6) | 4 (3) | 6 (10) | |||||||
3 | 4 (3) | 7 (16) | 4 (3) | 6 (9) | 4 (3) | 5 (9) | |||||||
4 | 0 (0) | 4 (8) | 0 (0) | 1 (1) | 0 (0) | 1 (1) | |||||||
5 | 4 (3) | 2 (5) | 4 (3) | 3 (4) | 4 (3) | 2 (4) | |||||||
6 | 0 (0) | 1 (3) | 0 (0) | 1 (2) | 0 (0) | 2 (3) | |||||||
7 | 0 (0) | 1 (2) | 0 (0) | 1 (1) | 0 (0) | 1 (2) | |||||||
Prehospital Defibrillation (median [IQR]) (freq) | 0 [0, 0] | 0 [0, 0] | 0.92 | 1 | 0 [0, 0] | 0 [0, 0] | 0.85 | 1 | 0 [0, 0] | 0 [0, 0] | 0.69 | 1 | |
Number of Defibrillation, % (freq) | 0 | 92 (78) | 92 (206) | 91 (74) | 91 (128) | 92 (78) | 90 (151) | ||||||
1 | 4 (3) | 2 (4) | 4 (3) | 2 (3) | 4 (3) | 2 (3) | |||||||
2 | 2 (2) | 4 (8) | 3 (2) | 4 (5) | 2 (2) | 4 (7) | |||||||
3 | 2 (2) | 3 (6) | 3 (2) | 3 (4) | 2 (2) | 3 (5) | |||||||
4 | 0 (0) | 0 (1) | 0 (0) | 1 (1) | 0 (0) | 1 (1) | |||||||
Initial rhythm on hospital arrival % (freq) | PEA | 29 (25) | 31 (69) | 0.89 | 0 | 29 (24) | 31 (43) | 0.97 | 0 | 29 (25) | 32 (53) | 0.77 | 0 |
Asystole | 71 (61) | 69 (156) | 71 (58) | 70 (98) | 71 (61) | 68 (114) | |||||||
Baseline rSO2 value (median [IQR]) | 45.1 [37.1, 50.0] | 42.7 [37.9, 48.4] | 0.42 | 0 | 45.2 [38.1, 50.2] | 44.2 [40.0, 49.4] | 0.55 | 0 | 45.1 [37.1, 50.0] | 43.7 [39.5, 49.3] | 0.52 | 0 | |
rSO2 initial type % (freq) | Init < 40 | 38 (33) | 36 (82) | 37 (30) | 25 (35) | 38 (33) | 27 (45) | ||||||
40 ≤ Init <50 | 36 (31) | 45 (101) | 37 (30) | 53 (75) | 36 (31) | 53 (88) | |||||||
Init ≥ 50 | 26 (22) | 19 (42) | 27 (22) | 22 (31) | 26 (22) | 20 (34) | |||||||
Stanford type-A aortic dissection % (freq) | 5 (4) | 16 (26) | 0 (0) | 0 (0) | 5 (4) | 16 (26) |
Odds Ratio | ||||
---|---|---|---|---|
Method | Estimate | Lower | Upper | P-value |
Primary analysis; All eligible patients | ||||
TripleCPR vs. historical cohort | 0.91 | 0.64 | 1.29 | 0.60 |
Sensitivity analysis 1; excluded A-AD | ||||
TripleCPR vs. historical cohort | 1.63 | 1.22 | 2.17 | <0.001 |
Sensitivity analysis 2; included A-AD | ||||
TripleCPR vs. historical cohort | 1.25 | 0.95 | 1.63 | 0.11 |
Discussion
Main findings
Detection of ROSC by NIRS and future direction
Mechanical CC devices in continuous CC
Study limitations
Zoll Company. X Series Operator's Guide. (Accessed 12 June 2021, at https://www.accessdata.fda.gov/cdrh_docs/pdf16/P160022C.pdf)
NIHON KOHDEN. TEC-5600 Series. (Accessed 12 June 2021, at https://ae.nihonkohden.com/sites/default/files/u21/t7846_TEC5600_En_S.pdf)
Stryker. cprINSIGHT Analysis Technology. (Accessed 12 June 2021, at https://www.strykeremergencycare.com/globalassets/assets/hosted-docs/cprinsight-analysis-technology-whitepaper-1.pdf)
- Takegawa R.
- Hayashida K.
- Rolston D.M.
- et al.
Conclusion
Funding
Declaration of Competing Interest
Acknowledgments
Author statement
Appendix A. Supplementary material
- Supplementary data 1
- Supplementary data 2
- Supplementary data 3
- Supplementary data 4
- Supplementary data 5
References
- Part 1: Executive Summary: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care.Circulation. 2020; 142https://doi.org/10.1161/CIR.0000000000000918
- Heart Disease and Stroke Statistics-2020 Update: A Report From the American Heart Association.Circulation. 2020; 141: e139-e596
- Executive Summary 2020 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.Resuscitation. 2020; 156: A1-A22
- Adult Basic Life Support: International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.Resuscitation. 2020; 156: A35-A79
- Delaying defibrillation to give basic cardiopulmonary resuscitation to patients with out-of-hospital ventricular fibrillation: a randomized trial.JAMA. 2003; 289: 1389https://doi.org/10.1001/jama.289.11.1389
- Defibrillation or cardiopulmonary resuscitation first for patients with out-of-hospital cardiac arrests found by paramedics to be in ventricular fibrillation? A randomised control trial.Resuscitation. 2008; 79: 424-431
- Part 3: Adult basic life support and automated external defibrillation: 2015 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science with Treatment Recommendations.Resuscitation. 2015; 95: e43-e69
- Adverse hemodynamic effects of interrupting chest compressions for rescue breathing during cardiopulmonary resuscitation for ventricular fibrillation cardiac arrest.Circulation. 2001; 104: 2465-2470
- Feasibility of absolute cerebral tissue oxygen saturation during cardiopulmonary resuscitation.Crit Care. 2013; 17: R36https://doi.org/10.1186/cc12546
- Cerebral oximetry and return of spontaneous circulation after cardiac arrest: a systematic review and meta-analysis.Resuscitation. 2015; 94: 67-72
- Near-infrared spectroscopy monitoring during cardiac arrest: a systematic review and meta-analysis.Acad Emerg Med. 2016; 23: 851-862
- Regional cerebral oxygen saturation during cardiopulmonary resuscitation as a predictor of return of spontaneous circulation and favourable neurological outcome - A review of the current literature.Resuscitation. 2018; 125: 39-47
- Near-infrared spectroscopy assessments of regional cerebral oxygen saturation for the prediction of clinical outcomes in patients with cardiac arrest: a review of clinical impact, evolution, and future directions.Front Med (Lausanne). 2020; 7https://doi.org/10.3389/fmed.2020.58793010.3389/fmed.2020.587930.s001
- Usefulness of cerebral rSO2 monitoring during CPR to predict the probability of return of spontaneous circulation.Resuscitation. 2019; 139: 201-207
- Brain monitoring using near-infrared spectroscopy to predict outcome after cardiac arrest: a novel phenotype in a rat model of cardiac arrest.J Intensive Care. 2021; 9: 4
- Part 1: Executive Summary: 2015 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.Circulation. 2015; 132: S2-S39
- Part 4: Advanced Life Support: 2015 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.Circulation. 2015; 132: S84-S145
- Pediatric Life Support: 2020 International Consensus on Cardiopulmonary Resuscitation and Emergency Cardiovascular Care Science With Treatment Recommendations.Resuscitation. 2020; 156: A120-A155
- Association of intra-arrest transport vs continued on-scene resuscitation with survival to hospital discharge among patients with out-of-hospital cardiac arrest.JAMA. 2020; 324: 1058https://doi.org/10.1001/jama.2020.14185
- Chest compliance is altered by static compression and decompression as revealed by changes in anteroposterior chest height during CPR using the ResQPUMP in a human cadaver model.Resuscitation. 2017; 116: 56-59
- The risk versus benefit of LUCAS: is it worth it?.Anesthesiology. 2014; 120: 797-798
- Effects of cardiopulmonary resuscitation time on chest wall compliance in patients with cardiac arrest.Resuscitation. 2017; 117: e1https://doi.org/10.1016/j.resuscitation.2017.05.010
Zoll Company. X Series Operator's Guide. (Accessed 12 June 2021, at https://www.accessdata.fda.gov/cdrh_docs/pdf16/P160022C.pdf)
NIHON KOHDEN. TEC-5600 Series. (Accessed 12 June 2021, at https://ae.nihonkohden.com/sites/default/files/u21/t7846_TEC5600_En_S.pdf)
Stryker. cprINSIGHT Analysis Technology. (Accessed 12 June 2021, at https://www.strykeremergencycare.com/globalassets/assets/hosted-docs/cprinsight-analysis-technology-whitepaper-1.pdf)
- Electrocardiographic analysis during uninterrupted cardiopulmonary resuscitation.Crit Care Med. 2008; 36: S409-S412
- Analyzing the heart rhythm during chest compressions: Performance and clinical value of a new AED algorithm.Resuscitation. 2021; 162: 320-328
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- Is the writing on the skull?ResuscitationVol. 169
- PreviewPeter Safar, together with others, established the basic treatment of cardiac arrest in the 1950s and 1960s by introducing the Airway, Breathing and Circulation sequence, which became the Basic Life Support algorithm.1,2 This was later transformed into Advanced Life Support by adding drugs and early defibrillation during cardiopulmonary resuscitation (CPR). Looking back on the fundamental studies leading to these developments, they were performed in laboratory or operating room settings with invasive blood pressure monitoring.
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