Evaluation of the Chest Compression Landmarks According to the 2010 American Heart Association (AHA) Guideline For Cardiopulmonary Resuscitation (CPR) by Using Computed Tomography (CT) Examinations for Infants

2012 ◽  
Vol 43 (5) ◽  
pp. 915
Author(s):  
J.E. Han ◽  
H.J. Yang ◽  
E.Y. Kim
PEDIATRICS ◽  
1994 ◽  
Vol 93 (6) ◽  
pp. 1026-1027
Author(s):  
◽  

The 1985 American Heart Association National Conference for Emergency Cardiac Care (ECC) recommendations for neonatal cardiopulmonary resuscitation included a chest compression rate of 120/minute accompanied by ventilation at a rate of 40 to 60/minute.1 There was no attempt to coordinate ventilation and compression. Rescuers providing chest compression and those providing ventilation were taught to perform their tasks independently, resulting in frequent simultaneous compression and ventilation. At the time, much of the available data indicated that simultaneous compression and ventilation (SVC-CPR) resulted in improved blood flow.2-6


2015 ◽  
Vol 2015 ◽  
pp. 1-5
Author(s):  
Ahmad Jaafar ◽  
Mohammad Abdulwahab ◽  
Eman Al-Hashemi

Background and Objectives. The quality of cardiopulmonary resuscitation (CPR) is an important factor in determining its overall outcome. This study aims to test the association between rescuers’ gender, Body Mass Index (BMI), and the accuracy of chest compressions (CC) as well as ventilation, according to American Heart Association (AHA) 2010 resuscitation guidelines. Methods. The study included 72 participants of both genders. All the participants received CPR training according to AHA 2010 resuscitation guidelines. One week later, an assessment of their CPR was carried out. Moreover, the weight and height of the participants were measured in order to calculate their BMI. Results. Our analysis showed no significant association between gender and the CC depth (P=0.53) as well as between gender and ventilation (P=0.42). Females were significantly faster than males in CC (P=0.000). Regarding BMI, participants with a BMI less than the mean BMI of the study sample tended to perform CC with the correct depth (P=0.045) and to finish CC faster than those with a BMI more than the mean (P=0.000). On the other hand, no significant association was found between BMI and ventilation (P=0.187). Conclusion. CPR can be influenced by factors such as gender and BMI, as such the individual rescuer and CPR training programs should take these into account in order to maximize victims’ outcome.


Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Joseph L Sullivan ◽  
Robert G Walker ◽  
Isabelle L Banville ◽  
Thomas D Rea ◽  
Fred W Chapman

Background : Pauses in cardiopulmonary resuscitation (CPR) for Automatic External Defibrillator (AED) ECG analysis may adversely affect cardiac arrest resuscitation. Thus, approaches that analyze the ECG rhythm during CPR may improve outcomes. We developed and tested an Analysis During CPR (ADC) algorithm to determine if it would meet the American Heart Association recommended 90% sensitivity for coarse (>0.2 mV peak-peak) ventricular fibrillation (VF) and 95% specificity for non-shockable rhythms. Methods : Defibrillator ECG and impedance recordings from 162 patients were retrospectively gathered from 3 EMS systems. 1047 15-second CPR-artifacted segments (274 coarse VF + 773 non-shockable) were identified for analysis; their artifact and rhythm distributions reflect those found in the 162 patients. Each CPR artifacted segment was paired with an adjacent segment free of CPR artifact for reference. Independent reviewers manually annotated and verified Shock/No-Shock rhythm designations blinded to the ADC determination. The ADC algorithm automatically classified each segment into categories of Shock/No Shock/Pause CPR For Clean Analysis, where the last category is segments recognized by the ADC as too noisy for accurate Shock/No Shock determination. In those situations the device would revert to the current approach of a CPR pause for AED rhythm analysis. Results : Of the 1047 CPR-artifacted segments, the ADC recommended to “Pause CPR For Clean Analysis” in 10% (n=109), including 4.4% of VF segments (12/274) and 12% (97/773) of non-shockable segments. Of the 938 remaining segments, the ADC correctly identified VF in 97% (sensitivity: 255/262) and correctly identified nonshockable rhythms in 96% (specificity: 650/676). Corresponding positive and negative predictive values were 91% and 99% respectively. Conclusions : The ADC is the first algorithm for automated ECG rhythm analysis during ongoing CPR that has been demonstrated to meet the existing AHA sensitivity and specificity recommendations designed for traditional rhythm analysis during hands-off pauses. Incorporation of this algorithm into an AED may eliminate about 90% of analysis pauses without compromising analysis accuracy and in turn may improve the likelihood of resuscitation.


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