Expiratory flow limitation during mechanical ventilation: real-time detection and physiological subtypes

dc.contributor.authorJunhasavasdikul D.
dc.contributor.authorKasemchaiyanun A.
dc.contributor.authorTassaneyasin T.
dc.contributor.authorPetnak T.
dc.contributor.authorBezerra F.S.
dc.contributor.authorMellado‐Artigas R.
dc.contributor.authorChen L.
dc.contributor.authorSutherasan Y.
dc.contributor.authorTheerawit P.
dc.contributor.authorBrochard L.
dc.contributor.correspondenceJunhasavasdikul D.
dc.contributor.otherMahidol University
dc.date.accessioned2024-05-27T18:42:44Z
dc.date.available2024-05-27T18:42:44Z
dc.date.issued2024-12-01
dc.description.abstractBackground: Tidal expiratory flow limitation (EFLT) complicates the delivery of mechanical ventilation but is only diagnosed by performing specific manoeuvres. Instantaneous analysis of expiratory resistance (Rex) can be an alternative way to detect EFLT without changing ventilatory settings. This study aimed to determine the agreement of EFLT detection by Rex analysis and the PEEP reduction manoeuvre using contingency table and agreement coefficient. The patterns of Rex were explored. Methods: Medical patients ≥ 15-year-old receiving mechanical ventilation underwent a PEEP reduction manoeuvre from 5 cmH2O to zero for EFLT detection. Waveforms were recorded and analyzed off-line. The instantaneous Rex was calculated and was plotted against the volume axis, overlapped by the flow-volume loop for inspection. Lung mechanics, characteristics of the patients, and clinical outcomes were collected. The result of the Rex method was validated using a separate independent dataset. Results: 339 patients initially enrolled and underwent a PEEP reduction. The prevalence of EFLT was 16.5%. EFLT patients had higher adjusted hospital mortality than non-EFLT cases. The Rex method showed 20% prevalence of EFLT and the result was 90.3% in agreement with PEEP reduction manoeuvre. In the validation dataset, the Rex method had resulted in 91.4% agreement. Three patterns of Rex were identified: no EFLT, early EFLT, associated with airway disease, and late EFLT, associated with non-airway diseases, including obesity. In early EFLT, external PEEP was less likely to eliminate EFLT. Conclusions: The Rex method shows an excellent agreement with the PEEP reduction manoeuvre and allows real-time detection of EFLT. Two subtypes of EFLT are identified by Rex analysis. Trial registration: Clinical trial registered with www.thaiclinicaltrials.org (TCTR20190318003). The registration date was on 18 March 2019, and the first subject enrollment was performed on 26 March 2019.
dc.identifier.citationCritical Care Vol.28 No.1 (2024)
dc.identifier.doi10.1186/s13054-024-04953-9
dc.identifier.eissn1466609X
dc.identifier.issn13648535
dc.identifier.scopus2-s2.0-85193633873
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/98508
dc.rights.holderSCOPUS
dc.subjectMedicine
dc.titleExpiratory flow limitation during mechanical ventilation: real-time detection and physiological subtypes
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85193633873&origin=inward
oaire.citation.issue1
oaire.citation.titleCritical Care
oaire.citation.volume28
oairecerif.author.affiliationKeenan Research Centre for Biomedical Science
oairecerif.author.affiliationHospital Clinic Barcelona
oairecerif.author.affiliationUniversidade Federal de Ouro Preto
oairecerif.author.affiliationUniversity of Toronto Faculty of Medicine
oairecerif.author.affiliationFaculty of Medicine Ramathibodi Hospital, Mahidol University

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