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dc.contributor.authorGutiérrez Ruiz, José Julio ORCID
dc.contributor.authorLeturiondo Sota, Mikel ORCID
dc.contributor.authorRuiz de Gauna Gutiérrez, Sofía ORCID
dc.contributor.authorRuiz Ojeda, Jesús María ORCID
dc.contributor.authorAzcarate Blanco, Izaskun
dc.contributor.authorGonzález Otero, Digna María ORCID
dc.contributor.authorUrtusagasti, Juan Francisco
dc.contributor.authorRussell, James Knox
dc.contributor.authorDaya, Mohamud Ramzan
dc.date.accessioned2021-06-18T08:00:48Z
dc.date.available2021-06-18T08:00:48Z
dc.date.issued2021-05-18
dc.identifier.citationPlos One 16(5) : (2021) // Article ID e0251511es_ES
dc.identifier.issn1932-6203
dc.identifier.urihttp://hdl.handle.net/10810/51928
dc.description.abstractBackground 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 settingses_ES
dc.description.sponsorshipAuthors 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-16-08201es_ES
dc.language.isoenges_ES
dc.publisherPublic Library Of Sciencees_ES
dc.relationinfo:eu-repo/grantAgreement/MICINN/RTI2018- 094396-B-I00es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectcardiopulmonary resuscitationes_ES
dc.subjectwaveform capnographyes_ES
dc.subjectchest compression pauseses_ES
dc.titleAssessment of the Evolution of End-Tidal Carbon Dioxide within Chest Compression Pauses to Detect Restoration of Spontaneous Circulationes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holderThis is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www-proquest-com.ehu.idm.oclc.org/docview/2528873155/abstract/893D8D92E0944083PQ/1?accountid=17248es_ES
dc.identifier.doi10.1371/journal.pone.0251511
dc.departamentoesIngeniería de comunicacioneses_ES
dc.departamentoesMatemática aplicadaes_ES
dc.departamentoeuKomunikazioen ingeniaritzaes_ES
dc.departamentoeuMatematika aplikatuaes_ES


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This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0)
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