Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/42394
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dc.contributor.authorAntón-Pérez, Gloriaen_US
dc.contributor.authorSantana-del-Pino, Angeloen_US
dc.contributor.authorHenríquez-Palop, Fernandoen_US
dc.contributor.authorMonzón, Taniaen_US
dc.contributor.authorSánchez, Ana Y.en_US
dc.contributor.authorValga, Franciscoen_US
dc.contributor.authorMorales-Umpierrez, Adelaidaen_US
dc.contributor.authorGarcía-Cantón, Cesaren_US
dc.contributor.authorRodríguez-Pérez, Jose C.en_US
dc.contributor.authorCarrero, Juan J.en_US
dc.date.accessioned2018-11-08T10:53:39Z-
dc.date.available2018-11-08T10:53:39Z-
dc.date.issued2018en_US
dc.identifier.issn1051-2276en_US
dc.identifier.urihttp://hdl.handle.net/10553/42394-
dc.description.abstractObjective To study whether the score proposed by the International Society of Renal Nutrition and Metabolism to define the protein energy wasting (PEW) syndrome has diagnostic validity in patients undergoing dialysis. Design and methods Cross-sectional study including 468 prevalent hemodialysis patients from Canary Islands, Spain. Individual PEW syndrome criteria and the number of PEW syndrome categories were related to other objective markers of PEW using linear and logistic regression analyses: subjective global assessment, handgrip strength, bioimpedance-assessed body composition, and levels of high-sensitivity C-reactive protein. Results Study participants (34% women) had a median age of 66 years, 37 months of maintenance dialysis, and 50% were diabetics. About 23% of patients had PEW (≥3 PEW categories), and 68% were at risk of PEW (1-2 PEW categories). Low prealbumin was the most frequently found derangement (52% of cases), followed by low albumin (46%), and low protein intake (35%). Across higher number of PEW syndrome categories, patients showed a longer dialysis vintage and had lower creatinine, triglycerides, and transferrin (P for trend < .001 for all). All nutritional assessments not included in the PEW definition worsened across higher number of PEW categories. In multivariable regression analyses, there was a linear inverse relationship between muscle and fat mass as well as handgrip strength with the number of PEW syndrome categories. Likewise, the proportion of subjective global assessment-defined malnutrition and serum concentration of C-reactive protein gradually increased despite adjustment for confounders (P for trend < .05 for all). Conclusion The PEW score reflects systemic inflammation, malnutrition and wasting among dialysis patients and may thus be used for diagnostic purposes.en_US
dc.languageengen_US
dc.publisher1051-2276-
dc.relation.ispartofJournal of Renal Nutritionen_US
dc.sourceJournal of Renal Nutrition[ISSN 1051-2276],v. 28, p. 428-434en_US
dc.subject320506 Nefrologíaen_US
dc.subject120903 Análisis de datosen_US
dc.subject240401 Bioestadísticaen_US
dc.subject.otherChronic Kidney-Disease
dc.subject.otherSubjective Global Assessment
dc.subject.otherNutritional-Status
dc.subject.otherAnthropometric Parameters
dc.subject.otherMortality
dc.subject.otherAssociations
dc.subject.otherInflammation
dc.subject.otherPopulation
dc.subject.otherDialysis
dc.subject.otherCriteria
dc.titleDiagnostic usefulness of the protein energy wasting score in prevalent hemodialysis patientsen_US
dc.typeinfo:eu-repo/semantics/Articlees
dc.typeArticlees
dc.identifier.doi10.1053/j.jrn.2018.05.002
dc.identifier.scopus85049341442
dc.identifier.isi000447776300010
dc.contributor.authorscopusid54405300300
dc.contributor.authorscopusid56554207500
dc.contributor.authorscopusid20734270400
dc.contributor.authorscopusid57194377585
dc.contributor.authorscopusid57213795915
dc.contributor.authorscopusid55481530500
dc.contributor.authorscopusid6505908446
dc.contributor.authorscopusid6603127359
dc.contributor.authorscopusid7005446255
dc.contributor.authorscopusid16834646800
dc.description.lastpage434-
dc.identifier.issue6-
dc.description.firstpage428-
dc.relation.volume28-
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.contributor.daisngid7463633
dc.contributor.daisngid2332689
dc.contributor.daisngid29153731
dc.contributor.daisngid3507425
dc.contributor.daisngid29057708
dc.contributor.daisngid3748844
dc.contributor.daisngid24046090
dc.contributor.daisngid1915819
dc.contributor.daisngid4337946
dc.contributor.daisngid41853
dc.contributor.wosstandardWOS:Anton-Perez, G
dc.contributor.wosstandardWOS:Santana-del-Pino, A
dc.contributor.wosstandardWOS:Hennquez-Palop, F
dc.contributor.wosstandardWOS:Monzon, T
dc.contributor.wosstandardWOS:Sanchez, AY
dc.contributor.wosstandardWOS:Valga, F
dc.contributor.wosstandardWOS:Morales-Umpierrez, A
dc.contributor.wosstandardWOS:Garcia-Canton, C
dc.contributor.wosstandardWOS:Rodriguez-Perez, JC
dc.contributor.wosstandardWOS:Carrero, JJ
dc.date.coverdateNoviembre 2018
dc.identifier.ulpgces
dc.description.sjr1,018
dc.description.jcr2,75
dc.description.sjrqQ1
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.deptGIR IUIBS: Patología médica-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.orcid0000-0002-6513-4814-
crisitem.author.orcid0000-0003-0023-1063-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.fullNameSantana Del Pino, Ángelo-
crisitem.author.fullNameGarcía Cantón, César-
crisitem.author.fullNameRodríguez Pérez,José Carlos-
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