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Assessment of a new volumetric capnography-derived parameter to reflect compression quality and to predict return of spontaneous circulation during cardiopulmonary resuscitation in a porcine model
- Source :
- Journal of Clinical Monitoring and Computing. 36:199-207
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
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
- Subjects :
- Male
medicine.medical_specialty
Swine
medicine.medical_treatment
Sus scrofa
Hemodynamics
Health Informatics
Return of spontaneous circulation
Critical Care and Intensive Care Medicine
law.invention
03 medical and health sciences
0302 clinical medicine
Capnography
030202 anesthesiology
law
Internal medicine
Animals
Humans
Medicine
Cardiopulmonary resuscitation
Cross-Over Studies
business.industry
Central venous pressure
030208 emergency & critical care medicine
Blood flow
Carbon Dioxide
Cardiopulmonary Resuscitation
Heart Arrest
Anesthesiology and Pain Medicine
Blood pressure
Ventilation (architecture)
Aortic pressure
Cardiology
Return of Spontaneous Circulation
business
Subjects
Details
- ISSN :
- 15732614 and 13871307
- Volume :
- 36
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Monitoring and Computing
- Accession number :
- edsair.doi.dedup.....52565141e77254a4cb2c450ab001bef8
- Full Text :
- https://doi.org/10.1007/s10877-020-00637-1