Assessment of the Evolution of End-Tidal Carbon Dioxide within Chest Compression Pauses to Detect Restoration of Spontaneous Circulation
| Autor: | Mohamud Daya, Digna M. González-Otero, José Julio Gutiérrez, Juan Francisco Urtusagasti, Sofía Ruiz de Gauna, James K. Russell, Jesus Ruiz, Mikel Leturiondo, Izaskun Azcarate |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Resuscitation Critical Care and Emergency Medicine medicine.medical_treatment Social Sciences Electrocardiography Medicine and Health Sciences Cardiac Arrest Psychology Medicine Capnography Multidisciplinary medicine.diagnostic_test Eukaryota Middle Aged Plants Legumes Compression (physics) End tidal Chemistry Bioassays and Physiological Analysis chest compression pauses Physical Sciences Cardiology Engineering and Technology Female Sensory Perception Research Article Statistical Distributions medicine.medical_specialty Science Early detection waveform capnography Research and Analysis Methods cardiopulmonary resuscitation Internal medicine Psychophysics Humans Cardiopulmonary resuscitation Aged Retrospective Studies business.industry Electrophysiological Techniques Organisms Peas Chemical Compounds Cognitive Psychology Biology and Life Sciences Carbon Dioxide Probability Theory Advanced life support Signal Processing Cognitive Science Perception Cardiac Electrophysiology business Out-of-Hospital Cardiac Arrest Mathematics Neuroscience |
| Zdroj: | PLoS ONE, Vol 16, Iss 5, p e0251511 (2021) Addi. Archivo Digital para la Docencia y la Investigación instname Addi: Archivo Digital para la Docencia y la Investigación Universidad del País Vasco PLoS ONE |
| Popis: | Background Measurement of end-tidal CO2 (ETCO2) can help to monitor circulation during cardiopulmonary resuscitation (CPR). However, early detection of restoration of spontaneous circulation (ROSC) during CPR using waveform capnography remains a challenge. The aim of the study was to investigate if the assessment of ETCO2 variation during chest compression pauses could allow for ROSC detection. We hypothesized that a decay in ETCO2 during a compression pause indicates no ROSC while a constant or increasing ETCO2 indicates ROSC. Methods We conducted a retrospective analysis of adult out-of-hospital cardiac arrest (OHCA) episodes treated by the advanced life support (ALS). Continuous chest compressions and ventilations were provided manually. Segments of capnography signal during pauses in chest compressions were selected, including at least three ventilations and with durations less than 20 s. Segments were classified as ROSC or non-ROSC according to case chart annotation and examination of the ECG and transthoracic impedance signals. The percentage variation of ETCO2 between consecutive ventilations was computed and its average value, ΔETavg, was used as a single feature to discriminate between ROSC and non-ROSC segments. Results A total of 384 segments (130 ROSC, 254 non-ROSC) from 205 OHCA patients (30.7% female, median age 66) were analyzed. Median (IQR) duration was 16.3 (12.9,18.1) s. ΔETavg was 0.0 (-0.7, 0.9)% for ROSC segments and -11.0 (-14.1, -8.0)% for non-ROSC segments (p < 0.0001). Best performance for ROSC detection yielded a sensitivity of 95.4% (95% CI: 90.1%, 98.1%) and a specificity of 94.9% (91.4%, 97.1%) for all ventilations in the segment. For the first 2 ventilations, duration was 7.7 (6.0, 10.2) s, and sensitivity and specificity were 90.0% (83.5%, 94.2%) and 89.4 (84.9%, 92.6%), respectively. Our method allowed for ROSC detection during the first compression pause in 95.4% of the patients. Conclusion Average percent variation of ETCO2 during pauses in chest compressions allowed for ROSC discrimination. This metric could help confirm ROSC during compression pauses in ALS settings Authors JJG, JMR, IA, and SRG received research support from the Basque Government through the grant IT1087-16 (for research groups), and author ML through the predoctoral grant PRE2019-2-0251. https://www.euskadi.eus Authors JJG, JMR, ML, and SRG received research support from the Spanish Ministry of Science, Innovation and Universities through the grant RTI2018- 094396-B-I00 and author DMGO from the program Torres Quevedo PTQ-16-08201 |
| Databáze: | OpenAIRE |
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