Literature DB >> 35875301

Retrospective Comparison of Prehospital Sustained Return of Spontaneous Circulation (ROSC) Rates Within a Single Basic Life Support Jurisdiction Using Manual vs Lund University Cardiac Assist System (LUCAS-2) Mechanical Cardiopulmonary Resuscitation.

Joshua Mastenbrook1, Kathryn E Redinger1, Duncan Vos2, Cheryl Dickson3.   

Abstract

Objective Several studies have examined the impact of mechanical cardiopulmonary resuscitation (CPR) devices among multi-jurisdictional emergency medical services (EMS) systems; however, the variability across such systems can inject bias and confounding variables. We focused our investigation on the effect of introducing the Lund University Cardiac Assist System 2 (LUCAS-2) into a single basic life support (BLS) fire department first response jurisdiction served by a single private advanced life support (ALS) agency, hypothesizing that the implementation of the device would increase prehospital return of spontaneous circulation (ROSC) rates as compared with manual CPR.  Methods A retrospective observational analysis of adult non-traumatic prehospital cardiac arrest ALS agency records was conducted. Descriptive statistics were computed, and logistic regression was used to assess the impact of CPR method, response time, age, gender, CPR initiator, witnessed status, automated external defibrillator (AED) initiator, and presence of an initial shockable rhythm on ROSC rates. A Chi-square analysis was used to compare ROSC rates among compression modalities both before and after the implementation of LUCAS-2 on July 1, 2011.  Results From an initial dataset of 857 cardiac arrest records, only 264 (74 pre-LUCAS period, 190 LUCAS-2 period) met inclusion criteria for the primary objective. The ROSC rates were 29.7% (22/74) and 29.5% (56/190), respectively, for manual-only and LUCAS-assisted CPR (p=0.9673). Logistic regression revealed a significant association between ROSC and two of the independent variables: arrest witnessed (OR 3.104; 95% CI 1.896-5.081; p<0.0001) and initial rhythm shockable (OR 2.785; 95% CI 1.492-5.199; p<0.0013).  Conclusions Analyses support the null hypothesis that there is no difference in prehospital ROSC rates among adult non-traumatic cardiac arrest patients when comparing mechanical-assisted and manual-only CPR. These results are consistent with other larger multi-jurisdictional mechanical CPR studies. Systems with limited personnel might consider augmenting their resuscitations with a mechanical CPR device, although cost and system design should be factored into the decision. Secondary analysis of independent variables suggests that prehospital cardiac arrest patients with a witnessed arrest or an initial rhythm that is shockable have a higher likelihood of attaining ROSC. The power of our primary objective was limited by the sample size. Additionally, we were not able to adequately assess the quality of CPR among the two comparison groups with a lack of consistent end-tidal carbon dioxide (EtCO2) data. .
Copyright © 2022, Mastenbrook et al.

Entities:  

Keywords:  cardiac arrest; cardiopulmonary resuscitation; chest compressions ; mechanical cpr; pre-hospital emergency medicine; rosc

Year:  2022        PMID: 35875301      PMCID: PMC9298685          DOI: 10.7759/cureus.26131

Source DB:  PubMed          Journal:  Cureus        ISSN: 2168-8184


Introduction

According to the American Heart Association, current evidence suggests that one in every 7.4 people in the United States will suffer from, and many will succumb to, sudden cardiac arrest. The incidence of out-of-hospital cardiac arrest (OHCA) remains alarmingly high, with approximately 356,000 OHCAs annually, yet there is some hope that survival rates of both in-hospital and out-of-hospital cardiac arrests continue to improve over time [1]. This is, in larger part, proposed to be due to decreasing the time to initiating chest compressions and improving the quality of chest compressions during cardiac arrest resuscitation [2]. It has been proposed that the use of an automated compression device may improve overall cardiopulmonary resuscitation (CPR) quality because of the ability to achieve consistent compression rate and depth, increase chest compression fraction, minimize rescuer fatigue, and allow for rescuers to complete other tasks [3,4]. The Lund University Cardiac Assist System 2 (LUCAS-2) is one such example, being an automated battery-powered piston-driven mechanical chest compression device (mCPR) with a suction cup at the distal end of the piston. There have been several studies published evaluating the effectiveness of mechanically delivered compressions in comparison to manual compressions, yet these have yielded mixed results [5,6,7]. In a 2018 Cochrane review, the authors reviewed 11 clinical studies comparing manual versus mechanical CPR, some citing no difference in outcomes, some with poorer outcomes, and some with improved outcomes [8]. Mechanical chest compressions are not always without harm. Adverse effects of mechanical chest compressions, including pulmonary contusions, lacerations, rib fractures, and pneumothoraces, have been reported and may be a contributing factor as to why we have not witnessed the expected improved survival rates of a mechanical device would predictively provide [3,9]. With conflicting data, the American Heart Association 2020 guidelines recommend that manual chest compressions be the foundation of CPR, but mechanical piston-driven devices may be considered in specific settings where high-quality chest compressions may be challenging or dangerous for the provider [10]. Here, we present a retrospective observational cohort study evaluating whether prehospital return of spontaneous circulation (ROSC) rates differ across CPR modalities within a single basic life support (BLS) fire department first response jurisdiction. Our hypothesis was that there would be an increase in the rate of sustained ROSC for cases utilizing the LUCAS-2 device.

Materials and methods

Design and setting This was a retrospective observational cohort study in which de-identified prehospital data were obtained from the Life Care Ambulance electronic patient care reporting (ePCR) database in Calhoun County, Michigan, to analyze all non-traumatic out-of-hospital cardiac arrests in which manual or mechanical CPR was performed from July 1, 2011, through October 18, 2017. On July 1, 2011, the Battle Creek Fire Department began utilizing the LUCAS-2 during OHCA resuscitations. The primary objective was to evaluate whether ROSC incidence differs between modalities (manual, LUCAS, LUCAS and manual) during the LUCAS period (July 1, 2011 - October 18, 2017). Secondary objectives included an evaluation of the association between patient characteristics/demographics and achieving prehospital ROSC during the LUCAS period (July 1, 2011 - October 18, 2017) and an evaluation of whether ROSC incidence differs between those given manual CPR in the pre-LUCAS period (January 24, 2008 - July 1, 2011) and those given mechanical CPR during the LUCAS-2 period (July 1, 2011 - October 18, 2017). The Battle Creek Fire Department is a full-time BLS non-transporting department with seven stations serving a population of 52,350 people spread over 44 square miles. Their emergency medical services (EMS) call volume exceeds 5,000 responses annually. The fire department jurisdiction is served by a single private advanced life support (ALS) ambulance agency, LifeCare Ambulance. This study was approved by the Western Michigan University Homer Stryker MD School of Medicine Institutional Review Board. Selection of subjects Inclusion criteria consisted of any EMS call that included the use of manual CPR, mechanical CPR (LUCAS-2), or both. Additional data elements extracted were time from dispatch to patient contact, who initiated the CPR, witnessed or unwitnessed arrest, who first applied the monitor/defibrillator/automated external defibrillator (AED), initial rhythm shockable or non-shockable, and patient age and gender. Entries missing data pertaining to the parameters listed above, cases of cardiac arrest due to presumed non-cardiac causes as documented in the ePCR (trauma, intoxication, poisoning, etc.), and pediatric cases (age <18) were excluded. Objectives and statistical analysis The outcome used for primary and secondary objectives is the incidence of return of spontaneous circulation (ROSC), defined as sustained spontaneous circulation until the transfer of care to the medical staff at the receiving hospital. For the primary objective, a Chi-square analysis was used to assess the impact of the introduction of the LUCAS-2 device by comparing the incidence of ROSC achieved in OHCAs utilizing manual chest compressions, the LUCAS device only, or both methods during the LUCAS-2 period from July 1, 2011, through October 18, 2017. For the secondary objective, a logistic regression model was utilized to assess the association of independent variables with achieving prehospital ROSC. These independent variables included method (manual, LUCAS-2, both manual and LUCAS-2), time from dispatch to patient contact, individual initiating CPR (lay bystander, medically trained bystander, first responder, EMS personnel), witnessed or unwitnessed status of the arrest, individual first applying the monitor/defib/AED (bystander, first responder/EMS), initial rhythm shockable or non-shockable, and patient age and gender. The unadjusted association for each predictor of sustained ROSC was obtained by running univariate models. Significant predictors among the univariate models were included in a multivariable model to obtain the adjusted association between the predictors and sustained ROSC. Lastly, for the secondary analysis comparing sustained ROSC rates for manual CPR in the pre-LUCAS period (January 24, 2008 - July 1, 2011) and LUCAS-2 associated CPR during the LUCAS-2 period (July 1, 2011 - October 18, 2017), a Chi-square analysis was conducted. SAS version 9.4 (SAS Institute Inc., Cary, North Carolina) was utilized for analyses. All tests were two-tailed, with significance declared at alpha = 0.05.

Results

The dataset consisted of n=663 subjects. Excluding those who were less than 18 years of age resulted in n=658 subjects. After excluding any subjects with non-presumed cardiac etiology, 553 subjects remained. After including only subjects in which mechanical or manual CPR was attempted, and excluding 36 subjects because of incomplete data, we had n=282 subjects, which was the final data set to be used for our primary analysis (Figure 1).
Figure 1

Flow chart of subject inclusion and exclusion

CPR - cardiopulmonary resuscitation; ROSC - return of spontaneous circulation

Flow chart of subject inclusion and exclusion

CPR - cardiopulmonary resuscitation; ROSC - return of spontaneous circulation One hundred ten subjects were documented as receiving only manual chest compressions, 80 received only LUCAS-2 compressions, and the remaining 92 received manual and LUCAS-2 compressions during the resuscitation. Patients that received manual only, LUCAS-2 only, and both compression modalities, were similar with respect to age, gender and time from dispatch to patient contact. Furthermore, the frequency with which cases experienced a non-shockable rhythm was similar across the three groups. The frequency with which cases experienced a shockable rhythm was similar across the three groups. In cases where both manual and LUCAS-2 compressions were initiated, there was a greater proportion in which a layperson initiated CPR. Demographic data are shown in Table 1.
Table 1

The distribution of variables of interest for subjects with Manual CPR only, LUCAS only, and both manual and LUCAS.

Categorical variables are reported as frequency (percent). Numeric variables (age, and time from dispatch to patient contact) are reported as mean (standard deviation).

CPR - cardiopulmonary resuscitation; LUCAS- Lund University Cardiac Assist System; EMS - emergency medical services; PEA - pulseless electrical activity

 Manual CPR only (n=110) LUCAS only (n=80) Both manual and LUCAS (n=92) 
Arrest   
Witnessed 57 (54.81%) 35 (44.30%) 35 (39.33%) 
Unwitnessed 47 (45.19%) 44 (55.70%) 54 (60.67%) 
Gender   
Male 69 (62.73%) 46 (58.23%) 54 (58.70%) 
Female 41 (32.27%) 33 (41.77%) 38 (41.30%) 
First defib by   
Bystander 1 (1.14%) 3 (4.05%) 
First responder or EMS 87 (98.86%) 64 (100%) 71 (95.95%) 
Who initiated CPR    
First responder 33 (30.28%) 26 (32.91%) 23 (25.27%) 
Lay person 11 (10.09%) 9 (11.39%) 16 (17.58%) 
Lay person family member 13 (11.93%) 8 (10.13%) 10 (10.99%) 
Lay person medical provider 20 (18.35%) 7 (8.86%) 19 (20.88%) 
Responding EMS personnel 28 (25.69%) 26 (32.91%) 22 (24.18%) 
Other  4 (3.67%) 3 (3.80%) 1 (1.10%) 
First arrest rhythm   
Ventricular tachycardia, ventricular fibrillation, or unknown shockable 10 (9.80%) 13 (16.25%) 11 (12.09%) 
Unknown unshockable, idioventricular/PEA, or asystole 92 (90.20%) 67 (83.75%) 80 (87.91%) 
Age (years)65.81 (15.10) 66.24 (16.62) 65.02 (15.00) 
Time from dispatch to patient contact (minutes) 6.37 (3.20) 6.35 (2.42) 6.29 (2.18) 

The distribution of variables of interest for subjects with Manual CPR only, LUCAS only, and both manual and LUCAS.

Categorical variables are reported as frequency (percent). Numeric variables (age, and time from dispatch to patient contact) are reported as mean (standard deviation). CPR - cardiopulmonary resuscitation; LUCAS- Lund University Cardiac Assist System; EMS - emergency medical services; PEA - pulseless electrical activity Primary objective: CPR method and sustained ROSC There were 110 subjects who underwent manual-only CPR, and of those, 31 (28.18%) attained sustained ROSC. There were 80 subjects who underwent mechanical-only CPR, and of those, 25 (31.25%) attained sustained ROSC. There were also 92 subjects who had both manual and mechanical CPR documented, with 24 (26.09%) achieving sustained ROSC (Table 2). Comparing the incidence of ROSC between these three groups revealed a p-value of 0.7541, indicating no statistically significant difference in the incidence of ROSC between the three groups. Furthermore, when comparing the mCPR-only group and the manual-only CPR group, there was not a significant difference (p=0.6470) in the sustained ROSC rate.
Table 2

Analysis of the sustained ROSC rates for those that received manual CPR only (n=110), those that received LUCAS only (n=80), and those that received both LUCAS and manual (n=92)

Analysis shows that during the LUCAS period, there is not a statistically significant difference (p=0.7541) between the three groups. Furthermore, when looking only at the LUCAS-only group and the manual CPR-only group, there is not a significant difference (p=0.6470) in the sustained ROSC rates.

CPR - cardiopulmonary resuscitation; LUCAS - Lund University Cardiac Assist System; ROSC - return of spontaneous circulation

Method Sustained ROSC 
No Yes Total 
Both 68 (73.91%) 24 (26.09%) 92 
Manual CPR only 79 (71.82%) 31 (28.18%) 110 
LUCAS only 55 (68.75%) 25 (31.25%) 80 
Total 202 80 282 

Analysis of the sustained ROSC rates for those that received manual CPR only (n=110), those that received LUCAS only (n=80), and those that received both LUCAS and manual (n=92)

Analysis shows that during the LUCAS period, there is not a statistically significant difference (p=0.7541) between the three groups. Furthermore, when looking only at the LUCAS-only group and the manual CPR-only group, there is not a significant difference (p=0.6470) in the sustained ROSC rates. CPR - cardiopulmonary resuscitation; LUCAS - Lund University Cardiac Assist System; ROSC - return of spontaneous circulation Secondary objective: demographics and characteristics associated with ROSC Logistic regression was used to assess the association between independent variables and sustained ROSC. The variable of a witnessed OHCA was found to have a significant univariate association (p<.0001) with sustained ROSC. Specifically, subjects in which the cardiac arrest was witnessed are 4.1 (95% CI 2.3, 7.3) times more likely to have sustained ROSC than those OHCA cases that were unwitnessed. Additionally, the variable, first arrest rhythm of the patient, was found to have a significant univariate association (p=0.0029) with sustained ROSC. Specifically, subjects in which the first arrest rhythm was ventricular tachycardia, ventricular fibrillation, or unknown shockable rhythm were 3.1 (95% CI 1.5, 6.3) times more likely to have sustained ROSC than are those with non-shockable rhythms. Mechanical CPR (p=0.6471), gender (p=0.4009), individual who initiated CPR (p=0.5266), and time from dispatch to patient contact (p=0.9205) were not significant in univariate logistic regression with predicting sustained ROSC. Additionally, using this model, patient age was found to be a significant univariate with a p=0.0405. The average age of those patients with sustained ROSC was 68.5 (95% CI 59.5, 80.5), while the average age of those who did not have sustained ROSC was 64 (95% CI 55, 78). The multivariable model yielded moderate prediction power of sustained ROSC (c=0.719). Arrest witnessed, shockable rhythm, and patient age were found to be significant univariate predictors of sustained ROSC. When included in a multivariable model together, shockable rhythm is no longer significant. Cases in which arrests are witnessed have 3.7 times greater odds of achieving sustained ROSC while accounting for shockable rhythm and patient age (Table 3).
Table 3

Secondary analysis of independent variables

The table shows the frequency (percent) of sustained ROSC for CPR method, arrest witnessed, shockable rhythm, whom CPR was initiated by, whom the defibrillator was applied by, and patient gender. The median (interquartile) range is reported for patient age and time from dispatch to patient contact. The odds ratio (95% CI) and p-value are reported for each of the univariate logistic regression models.  Variables found to be significant predictors of sustained ROSC in the univariate logistic regression model at alpha=.05 were included in the multivariable logistic regression model.  

CPR - cardiopulmonary resuscitation; LUCAS - Lund University Cardiac Assist System; EMS - emergency medical services; ROSC - return of spontaneous circulation

 Sustained ROSC achieved Univariate models Multivariable model 
 Yes  (n=80) No  (n=202) OR (95% CI) p-value OR (95% CI) p-value 
CPR method      
Both manual & LUCAS 24 (26.09%) 68 (73.91%) 0.9 (0.5, 1.7) p=.7391   
LUCAS only  25 (31.25%) 55 (68.75%) 1.2 (0.6, 2.2) p=.6471   
Manual only (ref) 31 (28.18%) 79 (71.82%) 
Arrest witnessed      
Witnessed 54 (42.52%) 73 (57.48%) 4.1 (2.3, 7.3) p < .0001 3.7 (1.8, 7.4) p=.0003 
Unwitnessed (ref) 22 (15.17%) 123 (84.83%) 
Shockable rhythm      
Yes 17 (50.00%) 17 (50.00%) 3.1 (1.5, 6.3) p=.0029 2.4 (0.9, 5.7) p=.0546 
No (ref) 59 (24.69%) 180 (75.31%) 
CPR initiated by      
First responder or EMS 42 (26.58%) 116 (73.42%) 0.8 (0.5, 1.4) p=.5266   
Lay individual (ref) 34 (30.09%) 79 (69.61%) 
Defib. first applied by      
Bystander 4 (100.00%)     
First responder or EMS 63 (28.38%) 159 (71.62%)     
Patient gender      
Male  45 (26.63%) 124 (73.37%) 0.8 (.47, 1.35) p=.4009   
Female (ref) 35 (31.25%) 77 (68.75%) 
Patient age (years)68.5 (59.5, 80.5) 64 (55, 78) 1.02 (1.00, 1.04) p=.0405 1.02 (1.00, 1.05) p=.0479 
Time from dispatch to patient contact (minutes)6.2 (4.6, 8.1) 6.0 (4.4, 8.2) 1.0 (0.9, 1.1) p=.9205   

Secondary analysis of independent variables

The table shows the frequency (percent) of sustained ROSC for CPR method, arrest witnessed, shockable rhythm, whom CPR was initiated by, whom the defibrillator was applied by, and patient gender. The median (interquartile) range is reported for patient age and time from dispatch to patient contact. The odds ratio (95% CI) and p-value are reported for each of the univariate logistic regression models.  Variables found to be significant predictors of sustained ROSC in the univariate logistic regression model at alpha=.05 were included in the multivariable logistic regression model. CPR - cardiopulmonary resuscitation; LUCAS - Lund University Cardiac Assist System; EMS - emergency medical services; ROSC - return of spontaneous circulation

Discussion

Out-of-hospital cardiac arrest scenes may be chaotic and contain many variables that combine to determine the likelihood of survival. It has been well demonstrated that good quality CPR is a major contributor to better overall survival rates. It has also been suggested that mechanical CPR devices may be able to provide superior chest compressions and that their resulting ability to improve vascular pressures and, in turn, coronary and cerebral perfusion may portend a survival benefit when used in the prehospital setting [2,11]. Data presented herein are similar to national cardiac arrest data from the CARES network for 2013-2017 [12], which reports 61.4% male, 50.7% unwitnessed arrest, 80.4% with unknown unshockable, idioventricular/pulseless electrical activity (PEA), or asystole, median age 64 years, and sustained ROSC rate of 32.3%. We observed 87.5% with first arrest rhythm of unknown unshockable, idioventricular/PEA, or asystole, which compares nationally to CARES data from 2013-2017 reporting 81.4% of similar first arrest rhythm. Although our study was underpowered to detect differences based on gender, the observed distribution of gender (60.14% male) is similar to national data from the CARES registry from 2013 to 2017 of 61.4% male. In our study, there was not sufficient evidence to declare a difference in ROSC rates among adult non-traumatic OHCA patients when comparing mechanical-assisted and manual-only CPR. With a greater sample size in a future study, there may be sufficient power to determine equivalence or non-inferiority. As a single system study, the sample size was relatively small; however, these results are consistent with other larger multi-jurisdictional mechanical CPR studies [13]. The mechanical CPR device did not produce superior ROSC rates as compared to cases using manual compressions and does require significant capital investment and system design considerations. Therefore, when deciding whether to introduce a mechanical chest compression device into an EMS system, the benefit of the mechanical CPR device might not be on the survival advantage to the patient but in that it allows the team to focus their attention on other aspects of the resuscitation, such as airway management, vascular access and addressing reversible causes of the arrest, especially in systems with limited personnel. In our secondary objective analysis of out-of-hospital cardiac arrests during the LUCAS period, patients with a witnessed arrest or an initial shockable rhythm had a higher likelihood of sustained ROSC. This is consistent with the literature in that survival from out-of-hospital cardiac arrest is more likely among those with witnessed arrests and those found in ventricular tachycardia or ventricular fibrillation [14]. As one cannot alter the presenting rhythm of the cardiac arrest patient, EMS systems looking to improve survival of out-of-hospital cardiac arrest should focus their efforts and investments on timely delivery of interventions. Limitations As a retrospective observational study, we were not able to randomize subjects and noted there was a lack of consistently reported end-tidal carbon dioxide data that could have served as a proxy for CPR quality. This study was also subject to selection bias, as the decision to utilize the mechanical CPR device was left to the first responders. Additionally, our primary endpoint focused on prehospital sustained ROSC rather than hospital discharge cerebral performance category scores; therefore, inferences into long-term (good neurological) survival are lacking. We observed a small clinical difference in sustained ROSC rate between manual CPR (28.18%) and LUCAS-2 CPR (31.25%); however, our study was not sufficiently powered to detect this difference. Post-hoc power analysis indicated that to truly determine whether these two rates differ with a power of 0.8, a sample size of n=3,542 cases per group would be required. Non-inferiority could be determined with a 5% equivalence margin given a total sample size of n=2894. Additionally, documentation of the utilization of the LUCAS-2 and/or manual-only CPR may be inconsistent. The documented frequency of manual CPR administration was n=110 or 39% of our included cases; however, it is unclear whether manual-only compressions were administered for these patients or if LUCAS-2 compressions were also administered and not documented. Nonetheless, the secondary analysis revealed that there was not a significant difference detected (p=.9673) in the sustained ROSC rate before and after the LUCAS-2 device was introduced into this EMS system on July 1, 2011.

Conclusions

In this single agency small study, the use of the LUCAS-2 mechanical CPR device was not associated with better or worse sustained ROSC rates when compared to manual chest compressions. The benefit of using a mechanical CPR device may be more related to the reduction of the cognitive and physical workload of the team, allowing devoted attention to other aspects of the resuscitation. The presence of a witnessed arrest or the first rhythm being identified as shockable appears to afford a short-term survival benefit with improved chances of achieving sustained ROSC.
  13 in total

Review 1.  Predictors of survival from out-of-hospital cardiac arrest: a systematic review and meta-analysis.

Authors:  Comilla Sasson; Mary A M Rogers; Jason Dahl; Arthur L Kellermann
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2.  Pneumothoraces Post Mechanical Cardiopulmonary Resuscitation: A Case Series.

Authors:  Sean Dooley; Mohamed Mohsen Mansour
Journal:  Respir Care       Date:  2015-01-13       Impact factor: 2.258

Review 3.  Mechanical devices for chest compression: to use or not to use?

Authors:  Keith Couper; Mike Smyth; Gavin D Perkins
Journal:  Curr Opin Crit Care       Date:  2015-06       Impact factor: 3.687

Review 4.  Heart Disease and Stroke Statistics-2018 Update: A Report From the American Heart Association.

Authors:  Emelia J Benjamin; Salim S Virani; Clifton W Callaway; Alanna M Chamberlain; Alexander R Chang; Susan Cheng; Stephanie E Chiuve; Mary Cushman; Francesca N Delling; Rajat Deo; Sarah D de Ferranti; Jane F Ferguson; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Pamela L Lutsey; Jason S Mackey; David B Matchar; Kunihiro Matsushita; Michael E Mussolino; Khurram Nasir; Martin O'Flaherty; Latha P Palaniappan; Ambarish Pandey; Dilip K Pandey; Mathew J Reeves; Matthew D Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Uchechukwu K A Sampson; Gary M Satou; Svati H Shah; Nicole L Spartano; David L Tirschwell; Connie W Tsao; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner
Journal:  Circulation       Date:  2018-01-31       Impact factor: 29.690

5.  No Benefit in Neurologic Outcomes of Survivors of Out-of-Hospital Cardiac Arrest with Mechanical Compression Device.

Authors:  Ryan Newberry; Ted Redman; Elliot Ross; Rachel Ely; Clayton Saidler; Allyson Arana; David Wampler; David Miramontes
Journal:  Prehosp Emerg Care       Date:  2018-01-18       Impact factor: 3.077

6.  Early cardiopulmonary resuscitation in out-of-hospital cardiac arrest.

Authors:  Ingela Hasselqvist-Ax; Gabriel Riva; Johan Herlitz; Mårten Rosenqvist; Jacob Hollenberg; Per Nordberg; Mattias Ringh; Martin Jonsson; Christer Axelsson; Jonny Lindqvist; Thomas Karlsson; Leif Svensson
Journal:  N Engl J Med       Date:  2015-06-11       Impact factor: 91.245

7.  The impact of a new CPR assist device on rate of return of spontaneous circulation in out-of-hospital cardiac arrest.

Authors:  Michael Casner; David Andersen; S Marshal Isaacs
Journal:  Prehosp Emerg Care       Date:  2005 Jan-Mar       Impact factor: 3.077

8.  Part 3: Adult Basic and Advanced Life Support: 2020 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care.

Authors:  Ashish R Panchal; Jason A Bartos; José G Cabañas; Michael W Donnino; Ian R Drennan; Karen G Hirsch; Peter J Kudenchuk; Michael C Kurz; Eric J Lavonas; Peter T Morley; Brian J O'Neil; Mary Ann Peberdy; Jon C Rittenberger; Amber J Rodriguez; Kelly N Sawyer; Katherine M Berg
Journal:  Circulation       Date:  2020-10-21       Impact factor: 29.690

9.  Prehospital randomised assessment of a mechanical compression device in cardiac arrest (PaRAMeDIC) trial protocol.

Authors:  Gavin D Perkins; Malcolm Woollard; Matthew W Cooke; Charles Deakin; Jessica Horton; Ranjit Lall; Sarah E Lamb; Chris McCabe; Tom Quinn; Anne Slowther; Simon Gates
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2010-11-05       Impact factor: 2.953

10.  Haemodynamic outcomes during piston-based mechanical CPR with or without active decompression in a porcine model of cardiac arrest.

Authors:  Mikkel T Steinberg; Jan-Aage Olsen; Morten Eriksen; Andres Neset; Per Andreas Norseng; Jo Kramer-Johansen; Bjarne Madsen Hardig; Lars Wik
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2018-04-24       Impact factor: 2.953

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