Comparing foot and hand cardiopulmonary resuscitation: a non-inferiority, crossover, randomised controlled simulation study

Background: High-quality chest compression is crucial during cardiopulmonary resuscitation. The present simulation study aimed to evaluate whether the chest compression method using the foot is comparable to that using the hand. Methods: This was a prospective, crossover, non-inferiority, randomised controlled simulation study. Non-inferiority tests were conducted for chest compression depth and rate. To determine non-inferiority, the lower limit of the confidence interval was compared to a pre-specified inferiority margin of −5 mm for chest compression depth. The compression rate was analysed in the same manner, with −17 compressions/min as the inferiority margin. Results: Seventy-two participants were enrolled in this study. The mean chest compression depth was 53.3 (±5.6) mm with foot chest compression (FCC) and 51.5 (±5.8) mm with hand chest compression (HCC). The mean difference between FCC and HCC was 1.8 (95% confidence interval (CI), −0.1 to 3.7) and FCC was not inferior to HCC in compression depth. The mean chest compression rates were 107.6/min and 112/min for FCC and HCC, respectively. The mean difference between FCC and HCC was −4.5/min (95% CI, −1.6 to −7.3) and FCC was not inferior to HCC for the chest compression rate. Conclusions: The results suggest that chest compression using the foot showed non-inferior performance regarding compression depth and rate compared with chest compression using the hand after brief training. Clinical Trial Registration: NCT06719401.

Publication Details

Journal
Signa Vitae
Published
2025-01-01
DOI
https://doi.org/10.22514/sv.2025.008
Citations
1
Primary Topic
Cardiac Arrest and Resuscitation
Type
article
Field-Weighted Citation Impact
2.25

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparing foot and hand cardiopulmonary resuscitation: a non-inferiority, crossover, randomised controlled simulation study

1 citations
Signa Vitae
Cardiac Arrest and Resuscitation
2.25
article

Comparing foot and hand cardiopulmonary resuscitation: a non-inferiority, crossover, randomised controlled simulation study

article en
1 citations

Abstract

Background: High-quality chest compression is crucial during cardiopulmonary resuscitation. The present simulation study aimed to evaluate whether the chest compression method using the foot is comparable to that using the hand. Methods: This was a prospective, crossover, non-inferiority, randomised controlled simulation study. Non-inferiority tests were conducted for chest compression depth and rate. To determine non-inferiority, the lower limit of the confidence interval was compared to a pre-specified inferiority margin of −5 mm for chest compression depth. The compression rate was analysed in the same manner, with −17 compressions/min as the inferiority margin. Results: Seventy-two participants were enrolled in this study. The mean chest compression depth was 53.3 (±5.6) mm with foot chest compression (FCC) and 51.5 (±5.8) mm with hand chest compression (HCC). The mean difference between FCC and HCC was 1.8 (95% confidence interval (CI), −0.1 to 3.7) and FCC was not inferior to HCC in compression depth. The mean chest compression rates were 107.6/min and 112/min for FCC and HCC, respectively. The mean difference between FCC and HCC was −4.5/min (95% CI, −1.6 to −7.3) and FCC was not inferior to HCC for the chest compression rate. Conclusions: The results suggest that chest compression using the foot showed non-inferior performance regarding compression depth and rate compared with chest compression using the hand after brief training. Clinical Trial Registration: NCT06719401.

Signa VitaeVol. 21(1)
National Research Foundation, National Research Foundation of Korea
Gender equality
Openalex Percentile: Top 19%
Cardiac Arrest and Resuscitation
2.25
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.