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dc.contributor.authorContti, Mariana Moraes-
dc.contributor.authorGarcia, Paula Dalsoglio-
dc.contributor.authorKojima, Cristiane Akemi-
dc.contributor.authorNga, Hong Si-
dc.contributor.authorCordeiro de Carvalho, Maria Fernanda-
dc.contributor.authorModelli de Andrade, Luis Gustavo-
dc.date.accessioned2015-10-21T13:08:50Z-
dc.date.accessioned2016-10-25T20:59:17Z-
dc.date.available2015-10-21T13:08:50Z-
dc.date.available2016-10-25T20:59:17Z-
dc.date.issued2015-02-01-
dc.identifierhttp://link.springer.com/article/10.1007%2Fs11255-014-0896-6-
dc.identifier.citationInternational Urology And Nephrology, v. 47, n. 2, p. 405-412, 2015.-
dc.identifier.issn0301-1623-
dc.identifier.urihttp://hdl.handle.net/11449/128303-
dc.identifier.urihttp://acervodigital.unesp.br/handle/11449/128303-
dc.description.abstractNo safe ultrasound (US) parameters have been established to differentiate the causes of graft dysfunction.To define US parameters and identify the predictors of normal graft evolution, delayed graft function (DGF), and rejection at the early period after kidney transplantation.Between June 2012 and August 2013, 79 renal transplant recipients underwent US examination 1-3 days posttransplantation. Resistive index (RI), power Doppler (PD), and RI + PD (quantified PD) were assessed. Patients were allocated into three groups: normal graft evolution, DGF, and rejection.Resistive index of upper and middle segments and PD were higher in the DGF group than in the normal group. ROC curve analysis revealed that RI + PD was the index that best correlated with DGF (cutoff = 0.84). In the high RI + PD group, time to renal function recovery (6.33 +/- A 6.5 days) and number of dialysis sessions (2.81 +/- A 2.8) were greater than in the low RI + PD group (2.11 +/- A 5.3 days and 0.69 +/- A 1.5 sessions, respectively), p = 0.0001. Multivariate analysis showed that high donor final creatinine with a relative risk (RR) of 19.7 (2.01-184.7, p = 0.009) and older donor age (RR = 1.17 (1.04-1.32), p = 0.007) correlated with risk DGF.Quantified PD (RI + PD) was the best DGF predictor. PD quantification has not been previously reported .en
dc.format.extent405-412-
dc.language.isoeng-
dc.publisherSpringer-
dc.sourceWeb of Science-
dc.subjectPower Doppleren
dc.subjectResistive indexen
dc.subjectAKIen
dc.subjectDelayed graft functionen
dc.subjectRenal transplantationen
dc.titleQuantified power Doppler as a predictor of delayed graft function after renal transplantationen
dc.typeoutro-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationUniv Estadual Paulista, Dept Internal Med UNESP, BR-18618970 Sao Paulo, Brazil-
dc.description.affiliationUnespUniv Estadual Paulista, Dept Internal Med UNESP, BR-18618970 Sao Paulo, Brazil-
dc.identifier.doihttp://dx.doi.org/10.1007/s11255-014-0896-6-
dc.identifier.wosWOS:000348995500029-
dc.rights.accessRightsAcesso restrito-
dc.relation.ispartofInternational Urology And Nephrology-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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