Publication:
Bioimpedance analysis versus lung ultrasonography for optimal risk prediction in hemodialysis patients

dc.contributor.coauthorSiriopol, Dimitrie
dc.contributor.coauthorVoroneanu, Luminita
dc.contributor.coauthorHogas, Simona
dc.contributor.coauthorApetrii, Mugurel
dc.contributor.coauthorGramaticu, Angelica
dc.contributor.coauthorDumea, Raluca
dc.contributor.coauthorBurlacu, Alexandru
dc.contributor.coauthorSascau, Radu
dc.contributor.coauthorCovic, Adrian
dc.contributor.departmentSchool of Medicine
dc.contributor.kuauthorKanbay, Mehmet
dc.contributor.schoolcollegeinstituteSCHOOL OF MEDICINE
dc.date.accessioned2024-11-09T22:48:46Z
dc.date.issued2016
dc.description.abstractFluid overload is associated with adverse outcomes in hemodialysis (HD) patients. Two bedside methods are increasingly utilized to evaluate objectively fluid status-bioimpedance and lung ultrasonography, but there is no available direct, head-to-head comparison of their prognostic significance. Importantly, their predictive abilities have never been tested in a HD population, alongside those of a classic model that also incorporates established echocardiographic parameters of increased mortality risk. Between 26 May 2011 and 26 October 2012, we included in the study 173 patients undergoing chronic HD treatment for at least 3 months in a single dialysis unit. Relative fluid overload (RFO) and B-lines score (BLS) were used as candidate predictors. From Cox survival analysis we evaluated the increase in the predictive abilities for all-cause mortality of adding continuous RFO or BLS to a model including conventional predictors . 31 patients (17.9 %) died during a median follow-up of 21.3 (interquartile range 19.9-30.3) months. All Cox models showed good calibration. The C statistic for the all-cause mortality prediction increased significantly when the RFO was included into the baseline model (Delta C statistics 0.058 95 %CI = 0.003-0.114), but not when the BLS was included into the baseline model. Only the model that incorporated RFO showed significantly better risk reclassification abilities than the baseline model (IDI = 3.6 % and continuous NRI = 24.8 %). Fluid overload, as assessed by bioimpedance, and not by lung ultrasonography, improves risk prediction for death, beyond classical and echocardiographic-based risk prediction scores/parameters.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.indexedbyPubMed
dc.description.issue2
dc.description.openaccessNO
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipUniversity of Medicine and Pharmacy Iasi [IDEI-PCE 2011, PN-II-ID-PCE-2011-3-0637] This study was partially funded by the University of Medicine and Pharmacy Iasi, Grant number IDEI-PCE 2011, PN-II-ID-PCE-2011-3-0637.
dc.description.volume32
dc.identifier.doi10.1007/s10554-015-0768-x
dc.identifier.eissn1573-0743
dc.identifier.issn1569-5794
dc.identifier.quartileQ3
dc.identifier.scopus2-s2.0-84957433104
dc.identifier.urihttps://doi.org/10.1007/s10554-015-0768-x
dc.identifier.urihttps://hdl.handle.net/20.500.14288/6386
dc.identifier.wos369810300006
dc.keywordsLung ultrasonography
dc.keywordsBioimpedance
dc.keywordsFluid status
dc.keywordsEchocardiography
dc.keywordsHemodialysis
dc.keywordsSurvival
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofInternational Journal of Cardiovascular Imaging
dc.subjectCardiac and cardiovascular systems
dc.subjectRadiology
dc.subjectNuclear medicine
dc.subjectMedical imaging
dc.titleBioimpedance analysis versus lung ultrasonography for optimal risk prediction in hemodialysis patients
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorKanbay, Mehmet
local.publication.orgunit1SCHOOL OF MEDICINE
local.publication.orgunit2School of Medicine
relation.isOrgUnitOfPublicationd02929e1-2a70-44f0-ae17-7819f587bedd
relation.isOrgUnitOfPublication.latestForDiscoveryd02929e1-2a70-44f0-ae17-7819f587bedd
relation.isParentOrgUnitOfPublication17f2dc8e-6e54-4fa8-b5e0-d6415123a93e
relation.isParentOrgUnitOfPublication.latestForDiscovery17f2dc8e-6e54-4fa8-b5e0-d6415123a93e

Files