| Literature DB >> 33511562 |
Lili Zhang1, Kui Jin1, Feng Sun2, Jun Xu3, Xuezhong Yu4, Huadong Zhu1, Yangyang Fu1, Danyu Liu1, Shanshan Yu1.
Abstract
We aimed to evaluate a volumetric capnography (Vcap)-derived parameter, the volume of CO2 eliminated per minute and per kg body weight (VCO2/kg), as an indicator of the quality of chest compression (CC) and to predict the return to spontaneous circulation (ROSC) under stable ventilation status. Twelve male domestic pigs were utilized for the randomized crossover study. After 4 min of untreated ventricular fibrillation (VF), mechanical cardiopulmonary resuscitation and ventilation were administered. Following 5-min washout periods, each animal underwent two sessions of experiments: three types of CC quality for 5 min stages in the first session, followed by advanced life support, consecutively in two sessions. Different CC quality had a significant effect on the partial pressure of end-tidal carbon dioxide (PetCO2), VCO2/kg, aortic pressure (mean), aortic systolic pressure, aortic diastolic pressure, right atrial pressure (mean), and carotid blood flow (P < 0.05). With the improvement in CC quality, the values of PetCO2 and VCO2/kg also increased, and the difference between the groups was statistically significant (P < 0.05). The Spearman rank test revealed a significant correlation between the Vcap-derived parameters and hemodynamics. PetCO2 and VCO2/kg have similar capabilities for discriminating survivors from non-survivors, and the area under the curve for both was 0.97. VCO2/kg had similar performance as PetCO2 in reflecting the quality of CC and prediction of achieving ROSC under stable ventilation status in a porcine model of VF-related cardiac arrest. However, VCO2/kg requires a longer time to achieve a stable state after adjusting for quality of CC than PetCO2.Entities:
Keywords: Cardiac arrest; Cardiopulmonary resuscitation; Chest compression; Partial pressure of end-tidal CO2; Volume of CO2 eliminated per minute; Volumetric capnography
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Year: 2021 PMID: 33511562 DOI: 10.1007/s10877-020-00637-1
Source DB: PubMed Journal: J Clin Monit Comput ISSN: 1387-1307 Impact factor: 2.502