TY - JOUR
T1 - The impact of ventilation rate on end-tidal carbon dioxide level during manual cardiopulmonary resuscitation
AU - Ruiz de Gauna, Sofía
AU - Gutiérrez, Jose Julio
AU - Ruiz, Jesus
AU - Leturiondo, Mikel
AU - Azcarate, Izaskun
AU - González-Otero, Digna María
AU - Corcuera, Carlos
AU - Russell, James Knox
AU - Daya, Mohamud Ramzan
N1 - Funding Information:
Authors Sofía Ruiz de Gauna, José Julio Gutiérrez, and Jesus María Ruiz received research support from the Basque Government through the grant 2019222053 (for health research), and Mikel Leturiondo through the predoctoral grant PRE-2019-2-0251.
Funding Information:
Authors Sofía Ruiz de Gauna, José Julio Gutiérrez, Jesus María Ruiz, and Mikel Leturiondo, received research support from the Spanish Ministry of Science, Innovation and Universities through the grant RTI2018-094396-B-I00 and Digna María González-Otero from the program Torres Quevedo PTQ-16-08201.
Funding Information:
Authors Sofía Ruiz de Gauna, José Julio Gutiérrez, Jesus María Ruiz, Izaskun Azcarate, and Mikel Leturiondo received research support from the Basque Government through the grant IT1087-16 (for research groups).
Publisher Copyright:
© 2020 Elsevier B.V.
PY - 2020/11
Y1 - 2020/11
N2 - Aim: Ventilation rate is a confounding factor for interpretation of end-tidal carbon dioxide (ETCO2) during cardiopulmonary resuscitation (CPR). The aim of our study was to model the effect of ventilation rate on ETCO2 during manual CPR in adult out-of-hospital cardiac arrest (OHCA). Methods: We conducted a retrospective analysis of OHCA monitor-defibrillator files with concurrent capnogram, compression depth, transthoracic impedance and ECG. We annotated pairs of capnogram segments presenting differences in average ventilation rate and average ETCO2 value but with other influencing factors (e.g. compression rate and depth) presenting similar values within the pair. ETCO2 variation as a function of ventilation rate was adjusted through curve fitting using non-linear least squares as a measure of goodness of fit. Results: A total of 141 pairs of segments from 102 patients were annotated. Each pair provided a single data point for curve fitting. The best goodness of fit yielded a coefficient of determination R2 of 0.93. Our model described that ETCO2 decays exponentially with increasing ventilation rate. The model showed no differences attributable to the airway type (endotracheal tube or supraglottic King-LT-D). Conclusion: Capnogram interpretation during CPR is challenging since many factors influence ETCO2. For adequate interpretation, we need to know the effect of each factor on ETCO2. Our model allows quantifying the effect of ventilation rate on ETCO2 variation. Our findings could contribute to better interpretation of ETCO2 during CPR.
AB - Aim: Ventilation rate is a confounding factor for interpretation of end-tidal carbon dioxide (ETCO2) during cardiopulmonary resuscitation (CPR). The aim of our study was to model the effect of ventilation rate on ETCO2 during manual CPR in adult out-of-hospital cardiac arrest (OHCA). Methods: We conducted a retrospective analysis of OHCA monitor-defibrillator files with concurrent capnogram, compression depth, transthoracic impedance and ECG. We annotated pairs of capnogram segments presenting differences in average ventilation rate and average ETCO2 value but with other influencing factors (e.g. compression rate and depth) presenting similar values within the pair. ETCO2 variation as a function of ventilation rate was adjusted through curve fitting using non-linear least squares as a measure of goodness of fit. Results: A total of 141 pairs of segments from 102 patients were annotated. Each pair provided a single data point for curve fitting. The best goodness of fit yielded a coefficient of determination R2 of 0.93. Our model described that ETCO2 decays exponentially with increasing ventilation rate. The model showed no differences attributable to the airway type (endotracheal tube or supraglottic King-LT-D). Conclusion: Capnogram interpretation during CPR is challenging since many factors influence ETCO2. For adequate interpretation, we need to know the effect of each factor on ETCO2. Our model allows quantifying the effect of ventilation rate on ETCO2 variation. Our findings could contribute to better interpretation of ETCO2 during CPR.
KW - Advanced life support (ALS)
KW - Cardiopulmonary resuscitation (CPR)
KW - End-tidal carbon dioxide (ETCO)
KW - Out-of-hospital cardiac arrest (OHCA)
KW - Ventilation
KW - Ventilation rate
KW - Waveform capnography
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U2 - 10.1016/j.resuscitation.2020.06.007
DO - 10.1016/j.resuscitation.2020.06.007
M3 - Article
C2 - 32622015
AN - SCOPUS:85087402743
SN - 0300-9572
VL - 156
SP - 215
EP - 222
JO - Resuscitation
JF - Resuscitation
ER -