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dc.contributor.authorDi Gioia, María Cristina
dc.contributor.authorGallar Ruiz, Paloma
dc.contributor.authorCobo, Gabriela
dc.contributor.authorGarcia Lopez, Fernando Jose 
dc.contributor.authorAgud Aparicio, José Luis
dc.contributor.authorOliet, Aniana
dc.contributor.authorRodríguez, Isabel
dc.contributor.authorOrtega, Olimpia
dc.contributor.authorCamacho, Rosa
dc.contributor.authorHerrero, Juan Carlos
dc.contributor.authorMon, Carmen
dc.contributor.authorOrtiz, Milagros
dc.contributor.authorVigil, Ana
dc.date.accessioned2022-05-03T08:05:39Z
dc.date.available2022-05-03T08:05:39Z
dc.date.issued2014
dc.identifier.citationEnliven 2014; 1(1):1-7.es_ES
dc.identifier.issn2378-542Xes_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/14227
dc.description.abstractBackground: Overhydration, inflammation and protein-energy wasting have been related to all-cause mortality in dialysis patients, being lean mass loss, a poor prognostic factor. Objective: to monitor body composition changes (BCC) in hemodialysis (HD) patients and to relate BCC to mortality. Methods: Prospective follow up study: Bioimpedance spectroscopy (BIS) and nutritional parameters were performed every 6 months during three years. Results : Overall data show a significant loss of weight at 12m, 24m, and 36m, with decrease of lean tissue index and phase angle (PA) in each period measured. Fat tissue index (FTI) diminished in the third year’s measurements. End of first year, 41 % of patients gain weight, them at baseline had lower age, higher serum albumin, lower Extracelular/intracellular water index (ECW/ICW) and higher PA, showing a significant FTI increase. Higher baseline PA was gain weight predictor by binary logistic regression. Cox regression analyses: Age, diabetes, HD technique, albumin, ECW/ICW, and PA were mortality predictors in univariate analysis; being PA the main mortality predictor in multivariate analysis. BCC were not associated with mortality. ROC curve: PA higher than 4.85° is protective for mortality. Conclusions: Lean mass loss was the most important change during follow up; we have not observed association between BCC with mortality. PA was the main mortality predictor.es_ES
dc.language.isoenges_ES
dc.publisherEnliven Archivees_ES
dc.type.hasVersionVoRes_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectBody compositiones_ES
dc.subjectBioimpedance spectroscopyes_ES
dc.subjectHemodialysises_ES
dc.subjectMortalityes_ES
dc.titleBody Composition Changes in Hemodialysis Patients: Implications for Prognosises_ES
dc.typejournal articlees_ES
dc.rights.licenseAtribución 4.0 Internacional*
dc.format.volume1es_ES
dc.format.number1es_ES
dc.format.page1-7es_ES
dc.description.peerreviewedes_ES
dc.relation.publisherversionhttps://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.678.2318&rep=rep1&type=pdfes_ES
dc.identifier.journalEnliven: Nephrology and Renal Studieses_ES
dc.repisalud.centroISCIII::Centro Nacional de Epidemiologíaes_ES
dc.repisalud.institucionISCIIIes_ES
dc.rights.accessRightsopen accesses_ES


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Atribución 4.0 Internacional
Este Item está sujeto a una licencia Creative Commons: Atribución 4.0 Internacional