scholarly journals The clinical effects of CPR meter on chest compression quality: a QI project

2021 ◽  
Vol 44 (2) ◽  
pp. 9-10
Author(s):  
Christopher Picard ◽  
Richard Drew ◽  
Domhnall O'Dochartaigh ◽  
Matthew Douma ◽  
Candice Keddie ◽  
...  
Keyword(s):  
Confidence Intervals ◽  
Chest Compression ◽  
Clinical Care ◽  
Small Sample ◽  
Quality Data ◽  
Clinical Effects ◽  
Strong Positive Correlation ◽  
Chest Compressions ◽  
Target Depth ◽  
Resuscitation Attempt

The clinical effects of CPR meter on chest compression quality: a QI project. Christopher Picard, Richard Drew, Domhnall O’Dochartaigh, Matthew J Douma, Candice Keddie, Colleen Norris. Background: High-quality chest compressions are the cornerstone of resuscitation. Training guidelines require CPR feedback, and pre-clinical data shows that feedback devices improve chest compression quality; but devices are not being used in many emergency departments, and their impact on clinical care is less well understood. Some services use defibrillator generated reports for quality improvement, but these measurements may be limited in scope and have not been rigorously compared to other tools. Methods: Laerdal CPRMeter 2 chest compression feedback devices were purchased using funds made available by a zone QI initiative. Initial training for implementation consisted of staff performing one minute of blinded chest compression using the feedback device, followed by one minute of chest compression unblinded. Staff were shown the raw percentage of chest compressions meeting target depth, release, and rate under both conditions as well as overall improvement. Following initial orientation, devices were incorporated into clinical care and all subsequent staff simulation and training. Clinically, use of the feedback device and completion or QI tracking forms was not mandated but was encouraged by drawing code participant names from completed forms for a free ACLS or PALS course. Data from all codes were automatically collected by the LifePak 20, data from any resuscitation using the Laerdal CPRmeter 2 were also automatically recorded when the device was used: these data were downloaded weekly. Completed questionnaire forms were submitted to the Clinical Educators and extracted as received. Evaluation Methods: Chest compression quality data was collected in two ways: first, using a Laerdal CPRMeter2, second, by downloading and analyzing cardiac arrest data from a LifePak20 defibrillator using CodeStatTM software. Device data were matched and synthesized by an emergency department CNE using Microsoft excel and IBM SPSS 26. Descriptive statistics (mean and standard deviations) are used to describe the data. Differences in chest compression quality and duration of resuscitations between resuscitation that did or did not use a feedback device or a backboard were compared using independent t-testing. Differences in chest compressions at the target depth, release, and rate between the numbers of staff involved were assessed using ANOVA. Agreement between devices (CPRMeter2 and LifePak) used during the resuscitations were evaluated using paired t-testing, Pearson correlations, and Bland-Altman plots. All tests were two-tailed with predetermined significance levels set at a=0.05. Results: Data collection occurred between August 2019 and December 2020. There were a total of 50 cardiac arrests included, 36 had questionnaire data returned, 36 had data collected from the CPR meter 2, 24 had data collected from the LifePak, and 10 had data collected using all three methods. The average duration of resuscitation (number of chest compressions) was 1079.56 (SD=858.25); there was no difference in the duration of resuscitation (number of chest compressions) between resuscitations using versus not using CPR feedback devices (p=0.673). Resuscitations utilizing chest compression feedback had a higher percentage of chest compressions at the target rate compared to resuscitations not using feedback (74.08% vs 42.18%, p=0.007). Resuscitations that utilized a backboard had a higher percentage of chest compressions at target depth (72.92% vs 48.73%, p=0.048). There were no differences noted in the duration of resuscitation attempt (p=0.167) or percentages of chest compressions at the target depth (p=0.181), release (p=0.538), or rate (p=0.656) between resuscitations with different sized teams (4-5, 6-7, 8-9, >10 staff involved). There was a strong positive correlation (r=0.771, p=0.005, n=11) between the two measurement methods and chest compression rates, and no statistically significant difference in measured scores (p=0.999), with 100% of values falling within the Bland-Altman confidence intervals of 36.72 and -36.72, n=11. Interpretation of the levels of agreement between these two device measures methods should be done cautiously however, given the small sample size and wide confidence intervals. Implications 1) Incorporation of visual chest compression feedback and use of a backboard are fast andaffordable and significantly improved the percentage of chest compression at the target rateand depth. 2) There was no correlation between the size of the resuscitation team and the percentage ofchest compressions at the target depth, release or rate; nor was the feedback device useassociated with the duration of the resuscitation attempt. 3) The implications of improvement with the CPR meter suggests that areas or service not usingfeedback should consider implementing its use to achieve the target compression rate. 4) Compared to LifePak feedback alone the CPRMeter2 will also allow services to target depthand release targets as well as rate.

Abstract 368: Does Filtered Rhythm Technology Lead to Increased Inappropriate Manual Defibrillation?

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_4) ◽  
Author(s):  
Jimmy To ◽  
Jenny Yang ◽  
David E Krummen ◽  
Gabriel Wardi ◽  
Rebecca E Sell
Keyword(s):  
Cardiac Arrest ◽  
Chest Compression ◽  
Heart Rhythm ◽  
Clinical Effects ◽  
Academic Hospital ◽  
Hospital System ◽  
Patient Demographics ◽  
Inappropriate Shocks ◽  
Post Shock ◽  
Resuscitation Attempt

Introduction: Defibrillation of ventricular fibrillation (VF) and pulseless ventricular tachycardia (VT) is an effective treatment for patients with cardiac arrest (CA). Identifying the rhythm during cardiopulmonary resuscitation (CPR) can be difficult with the rhythm obscured by chest compression artifact. “Rhythm” checks are usually recommended, but this interrupts the resuscitation attempt. Filtered rhythm technology such as See-Thru CPR aims to reduce these interruptions by filtering out chest compression artifact, leading to easier visualization of the underlying heart rhythm without stopping CPR. Hypothesis: While See-Thru CPR is effective at improving chest compression fraction, inappropriate shocks of non-VF/VT rhythms are still common. Methods: This is a retrospective review of an internal database of all cardiac arrests occurring within a two-hospital academic hospital system between July 2012 and September 2019. The local CPR algorithm trains responders to utilize See-Thru CPR to minimize interruptions and increase the chest compression fraction (the average chest compression fraction is > 90%). The database includes all inpatient and emergency room CA and includes patient demographics, cardiac and resuscitation data including CPR parameter data when available, and outcomes. Cardiac arrests with CPR data were reviewed and all defibrillation attempts were identified and analyzed. Pre and post-shock rhythm were identified by reviewing the preceding rhythm strip, and the rhythm following the defibrillation delivery. Results: Three hundred thirty-six patients had CA with complete CPR data containing defibrillation attempts. These 336 patients had 1199 defibrillations delivered. Between 1 - 39 shocks were delivered during each event. The majority of defibrillations were delivered correctly for VF/VT (916/1199, 76%), however 23.6% of defibrillations were inappropriate - PEA in 232 attempts (19%) and asystole in 51 (4%). Of these inappropriate shocks, 23 converted to either VF/VT or ROSC, while the rest maintained a non-VF/VT rhythm. Conclusions: Defibrillation while using See-Thru CPR for inappropriate shocks is common. Further studies will be needed to show the clinical effects of shocking non-VF/VT rhythms.

EXPRESS: Comparative effectiveness and safety of edoxaban vs warfarin in patients with atrial fibrillation: A nationwide cohort study

2021 ◽  
pp. 174749302110294
Author(s):  
Peter Nielsen ◽  
Mette Soegaard ◽  
Martin Jensen ◽  
Anne G Ording ◽  
Gregory Lip
Keyword(s):  
Atrial Fibrillation ◽  
Confidence Intervals ◽  
Stroke Prevention ◽  
Clinical Care ◽  
Bleeding Events ◽  
Inverse Probability ◽  
Standard Clinical Practice ◽  
Hazard Ratios ◽  
All Cause Mortality ◽  
Event Rates

Background and purpose: The effectiveness and safety of edoxaban 60 mg and 30 mg for stroke prevention compared with warfarin in patients with atrial fibrillation (AF) has not been well-described in a nationwide cohort of Caucasian patients treated in standard clinical practice. Methods: We used Danish nationwide registries to identify patients with AF during June 2016 and November 2018 who were treated with edoxaban or warfarin and computed rates per 100 person-years of thromboembolic, all-cause mortality, and bleeding events using an inverse probability of treatment weighting approach to account for baseline confounding. We used weighted pooled logistic regression to compute hazard ratios (HRs) with 95% confidence intervals (CIs) comparing events between edoxaban 60 mg and warfarin users; edoxaban 30 mg was not included in formal comparisons. Results: We identified 6451 AF patients, mean age was 72 years and 40% were females. A total of 1772 patients were treated with edoxaban 60 mg, 537 with edoxaban 30 mg, and 4142 with warfarin. The median CHA2DS2-VASc score was similar between warfarin and edoxaban 60 mg with a score of 3 (interquartile range [IQR] 2-4). In the inverse probability of treatment-weighted pseudo-population, the thromboembolic event rate for edoxaban 60 mg was 0.95 and 1.0 for warfarin, corresponding weighted HR of 1.00 (95% confidence intervals [CI] 0.59, 1.71). Edoxaban 60 mg users were associated with lower rates of all-cause mortality (3.93) compared to warfarin (6.04), with a HR of 0.64 (95% CI 0.47 to 0.88). The event rates for bleeding were 3.36 and 3.14, respectively; HR 1.09 (95% CI 0.77, 1.57) Conclusion: Edoxaban 60 mg is a safe and effective treatment compared with warfarin for stroke prevention in routine clinical care for white European patients with AF, with non-significantly different risks for stroke and clinically relevant bleeding, but lower all-cause mortality. 

Chest compression efficacy of child resuscitators

2021 ◽  
Vol 13 (11) ◽  
pp. 448-455
Author(s):  
Tiffany Wai Shan Lau ◽  
Anthony Robert Lim ◽  
Kyra Anne Len ◽  
Loren Gene Yamamoto
Keyword(s):  
Blood Flow ◽  
Cardiopulmonary Resuscitation ◽  
Chest Compression ◽  
Minimum Weight ◽  
Success Rates ◽  
Compression Force ◽  
Chest Compressions ◽  
Traditional Methods ◽  
Video Review ◽  
Brief Training

Background: Chest compression efficacy determines blood flow in cardiopulmonary resuscitation (CPR) and relies on body mechanics, so resuscitator weight matters. Individuals of insufficient weight are incapable of generating a sufficient downward chest compression force using traditional methods. Aims: This study investigated how a resuscitator's weight affects chest compression efficacy, determined the minimum weight required to perform chest compressions and, for children and adults below this minimum weight, examine alternate means to perform chest compressions. Methods: Volunteers aged 8 years and above were enrolled to perform video-recorded, music-facilitated, compression-only CPR on an audible click-confirming manikin for 2 minutes, following brief training. Subjects who failed this proceeded to alternate modalities: chest compressions by jumping on the lower sternum; and squat-bouncing (bouncing the buttocks on the chest). These methods were assessed via video review. Findings: There were 57 subjects. The 30 subjects above 40kg were all able to complete nearly 200 compressions in 2 minutes. Success rates declined in those who weighed less than 40kg. Below 30 kg, only one subject (29.9 kg weight) out of 14 could achieve 200 effective compressions. Nearly all of the 23 subjects who could not perform conventional chest compressions were able to achieve effective chest compressions using alternate methods. Conclusion: A weight below 40kg resulted in a declining ability to perform standard chest compressions effectively. For small resuscitators, the jumping and squat-bouncing methods resulted in sufficient compressions most of the time; however, chest recoil and injuries are concerns.

Abstract 17334: The Detrimental Effect of Chest Compression Interruptions on Coronary Perfusion Pressure Dynamics

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Norman A Paradis ◽  
Karen L Moodie ◽  
Christopher L Kaufman ◽  
Joshua W Lampe
Keyword(s):  
Blood Flow ◽  
Chest Compression ◽  
Detrimental Effect ◽  
Perfusion Pressure ◽  
Vena Cava ◽  
Coronary Perfusion Pressure ◽  
Right Atrial ◽  
Coronary Perfusion ◽  
Chest Compressions ◽  
Over Time

Introduction: Guidelines for treatment of cardiac arrest recommend minimizing interruptions in chest compressions based on research indicating that interruptions compromise coronary perfusion pressure (CPP) and blood flow and reducing the likelihood of successful defibrillation. We investigated the dynamics of CPP before, during, and after compression interruptions and how they change over time. Methods: CPR was performed on domestic swine (~30 Kg) using standard physiological monitoring. Blood flow was measured in the abdominal aorta (AAo), the inferior vena cava, the right common carotid and external jugular. Ventricular fibrillation (VF) was electrically induced. Mechanical chest compressions (CC) were started after four minutes of VF. CC were delivered at a rate of 100 compressions per minute (cpm) and at a depth of 2” for a total of 12 min. CPP was calculated as the difference between aortic and right atrial pressure at end-diastole per Utstein guidelines. CPP was determined for 5 compressions prior to the interruption, every 2 seconds during the CC interruption, and for 7 compressions after the interruption. Per protocol, 12 interruptions occurred at randomized time points. Results: Across 12 minutes of CPR, averaged CPP prior to interruption was significantly greater than the averaged CPP after the interruption (22.4±1.0 vs. 15.5±0.73 mmHg). As CPR continued throughout the 12 minutes, CPP during compressions decreased (First 6 min = 24.1±1.4 vs. Last 6 min = 20.1±1.3 mmHg, p=0.05), but the effect of interruptions remained constant resulting in a 20% drop in CPP for every 2 seconds irrespective of the prior CPP. The increase (slope) of CPP after resumption of compressions was significantly reduced over time (First 6 min = 1.47±0.18 vs. Last 6 min = 0.82±0.13 mmHg/compression). Conclusions: Chest compression interruptions have a detrimental effect on coronary perfusion and blood flow. The magnitude of this effect increases over time as a resuscitation effort continues. These data confirm the importance of providing uninterrupted CPR particularly in long duration resuscitations.

SMALL SAMPLE SIZE SCIENTIST

PEDIATRICS ◽  
1989 ◽  
Vol 83 (3) ◽  
pp. A72-A72
Author(s):  
Student
Keyword(s):  
Sample Size ◽  
Confidence Intervals ◽  
Causal Explanation ◽  
Small Sample Size ◽  
Small Sample ◽  
Small Samples ◽  
High Expectations ◽  
Sampling Variation ◽  
The Law ◽  
The Stability

The believer in the law of small numbers practices science as follows: 1. He gambles his research hypotheses on small samples without realizing that the odds against him are unreasonably high. He overestimates power. 2. He has undue confidence in early trends (e.g., the data of the first few subjects) and in the stability of observed patterns (e.g., the number and identity of significant results). He overestimates significance. 3. In evaluating replications, his or others', he has unreasonably high expectations about the replicability of significant results. He underestimates the breadth of confidence intervals. 4. He rarely attributes a deviation of results from expectations to sampling variability, because he finds a causal "explanation" for any discrepancy. Thus, he has little opportunity to recognize sampling variation in action. His belief in the law of small numbers, therefore, will forever remain intact.

Abstract 20: Peripheral Intravenous Analysis Detects Return of Spontaneous Circulation Without Interruption of Chest Compressions in a Rat Model of Cardiopulmonary Resuscitation

Circulation ◽  
2019 ◽  
Vol 140 (Suppl_2) ◽  
Author(s):  
Claudius Balzer ◽  
Franz J Baudenbacher ◽  
Antonio Hernandez ◽  
Michele M Salzman ◽  
Matthias L Riess ◽  
...  
Keyword(s):  
Mechanical Ventilation ◽  
Cardiopulmonary Resuscitation ◽  
Chest Compression ◽  
Venous Pressure ◽  
Fold Increase ◽  
Spontaneous Circulation ◽  
Arterial Line ◽  
Chest Compressions ◽  
Waveform Data ◽  
Return Of Spontaneous Circulation

Introduction: A higher chest compression fraction (CCF) or percentage of time providing chest compressions is associated with improved survival after cardiac arrest (CA). Pauses in chest compression duration during cardiopulmonary resuscitation (CPR) to palpate a pulse can reduce the CCF. Peripheral Intravenous Analysis (PIVA) is a novel method for determining cardiac and volume status using waveforms from a standard peripheral intravenous (IV) line. We hypothesize that PIVA will demonstrate the onset of return of spontaneous circulation (ROSC) without interruption of CPR. Methods: Eight Zucker Diabetic Fatty (ZDF) rats (4 lean, 4 diabetic) were intubated, ventilated, and cannulated with a 24g IV in the tail vein and a 22g IV in the femoral artery, each connected to a TruWave pressure transducer. Mechanical ventilation was discontinued to achieve CA. After 8 minutes, CPR began with mechanical ventilation, IV epinephrine, and chest compressions using 1.5 cm at 200 times per minute until mean arterial pressure (MAP) increased to 120 mmHg per arterial line. All waveforms were recorded and analyzed in LabChart. PIVA was measured using a Fourier transform of the peripheral venous waveform. Data are mean ± SD. Statistics: Unpaired student’s t-test (two-tailed), α = 05. Results: CA and ROSC were achieved in all 8 rats. Within 1 minute of CPR, there was a 70 ± 35 fold increase/decrease in PIVA during CPR that was temporally associated with ROSC. Within 8 ± 13 seconds of a reduction in PIVA, there was a rapid increase in end-tidal CO 2 . In all rats, ROSC occurred within 38 ± 9 seconds of the maximum PIVA value. Peripheral venous pressure decreased by 1.2 ± 0.9 mmHg during resuscitation and ROSC, which was not significant different at p=0.05. Conclusion: In this pilot study, PIVA detected ROSC without interrupting CPR. Use of PIVA may obviate the need pause CPR for pulse checks, and may result in a higher CCF and survival. Future studies will focus on PIVA and CPR efficacy.

Confidence intervals for a difference between lognormal means in cluster randomization trials

2014 ◽  
Vol 26 (2) ◽  
pp. 598-614 ◽  
Author(s):  
Julia Poirier ◽  
GY Zou ◽  
John Koval
Keyword(s):  
Confidence Intervals ◽  
Community Acquired Pneumonia ◽  
Small Sample ◽  
Cluster Randomization ◽  
Critical Pathway ◽  
Arithmetic Means ◽  
Multiple Parameters ◽  
The Difference ◽  
Using Data ◽  
Small Sample Sizes

Cluster randomization trials, in which intact social units are randomized to different interventions, have become popular in the last 25 years. Outcomes from these trials in many cases are positively skewed, following approximately lognormal distributions. When inference is focused on the difference between treatment arm arithmetic means, existent confidence interval procedures either make restricting assumptions or are complex to implement. We approach this problem by assuming log-transformed outcomes from each treatment arm follow a one-way random effects model. The treatment arm means are functions of multiple parameters for which separate confidence intervals are readily available, suggesting that the method of variance estimates recovery may be applied to obtain closed-form confidence intervals. A simulation study showed that this simple approach performs well in small sample sizes in terms of empirical coverage, relatively balanced tail errors, and interval widths as compared to existing methods. The methods are illustrated using data arising from a cluster randomization trial investigating a critical pathway for the treatment of community acquired pneumonia.

Feasibility of performing chest compressions at a target depth of 5, 6 and 7cm supported by visual feedback: A manikin study

Resuscitation ◽  
2015 ◽  
Vol 96 ◽  
pp. 63
Author(s):  
Nathalie Kegels ◽  
Laura Wuyts ◽  
Frederik Vandereyken ◽  
Bert Blyweert ◽  
Alain Kalmar ◽  
...  
Keyword(s):  
Visual Feedback ◽  
Chest Compressions ◽  
Manikin Study ◽  
Target Depth
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