Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/69959
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dc.contributor.authorGarcía Cantón, Césaren_US
dc.contributor.authorRodenas, Anaen_US
dc.contributor.authorLopez-Aperador, Celiaen_US
dc.contributor.authorRivero, Yaizaen_US
dc.contributor.authorAnton, Gloriaen_US
dc.contributor.authorMonzon, Taniaen_US
dc.contributor.authorDiaz, Noaen_US
dc.contributor.authorVega Díaz, Nicanor Jesúsen_US
dc.contributor.authorLoro Ferrer, Juan Franciscoen_US
dc.contributor.authorSantana del Pino, Ángeloen_US
dc.contributor.authorEsparza, Noemien_US
dc.date.accessioned2020-02-05T12:51:34Z-
dc.date.available2020-02-05T12:51:34Z-
dc.date.issued2019en_US
dc.identifier.issn0886-022Xen_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/69959-
dc.description.abstractBackground: Frailty is an aging-associated state of increased vulnerability, which raises the risk of adverse outcomes. Chronic kidney disease is associated with higher prevalence of frailty. Our aim was to estimate frailty prevalence in a hemodialysis population and its influence on short-term outcomes. Design: Observational prospective longitudinal study of 277 prevalent hemodialysis patients. Frailty was estimated through the Edmonton Frail Scale (EFS). Demographic and clinical data, comorbidity index, and laboratory parameters were recorded. A 29-month follow-up was conducted on mortality, including hospitalization, and visits to hospital emergency services in the first 12 months of this period. Results: According to the EFS, 82 patients (29.6%) were frail, 53 (19.1%) were vulnerable, and 142 (51.3%) were non-frail. During follow-up, 58.5% frail patients, 30.2% vulnerable, and 16.2% non-frail ones died (p <.005). In the analysis of survival using an adjusted Cox model, a higher hazard of mortality was observed in frail than in non-frail patients (HR 2.34; 95% CI 1.39–3.95; p =.001). During follow-up the hospitalization rate was 852 episodes/1000 patient-years for frail patients, 784 episodes/1000 patient-years for vulnerable patients, and 417 episodes/1000 patient-years for non-frail patients (p =.0005). The incidence ratio of visits to emergency services was 3216, 1735, and 1545 visits/1000 patient-years for each group (p <.001). Conclusions: Hemodialysis patients present high frailty prevalence. Frailty is associated with poor short-term outcomes and higher rates of mortality, visits to hospital emergency services, and hospitalization.en_US
dc.languageengen_US
dc.relation.ispartofRenal Failureen_US
dc.sourceRenal Failure [ISSN 0886-022X], v. 41 (1), p. 567-575en_US
dc.subject320506 Nefrologíaen_US
dc.subject.otherFrailtyen_US
dc.subject.otherHemodialysisen_US
dc.subject.otherHospitalizationen_US
dc.subject.otherMortalityen_US
dc.subject.otherOutcomeen_US
dc.titleFrailty in hemodialysis and prediction of poor short-term outcome: mortality, hospitalization and visits to hospital emergency servicesen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/0886022X.2019.1628061
dc.identifier.scopus85068790650-
dc.identifier.isi000472731400001
dc.contributor.authorscopusid6603127359-
dc.contributor.authorscopusid57209793373-
dc.contributor.authorscopusid57195455809-
dc.contributor.authorscopusid57208407969-
dc.contributor.authorscopusid57194380288-
dc.contributor.authorscopusid57194377585-
dc.contributor.authorscopusid57195462107-
dc.contributor.authorscopusid7004040121-
dc.contributor.authorscopusid6507389169-
dc.contributor.authorscopusid57209802095-
dc.contributor.authorscopusid6602079055-
dc.description.lastpage575-
dc.identifier.issue1-
dc.description.firstpage567-
dc.relation.volume41-
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.contributor.daisngid1915819
dc.contributor.daisngid19496475
dc.contributor.daisngid10134930
dc.contributor.daisngid9887630
dc.contributor.daisngid5669795
dc.contributor.daisngid3507425
dc.contributor.daisngid11123844
dc.contributor.daisngid29879392
dc.contributor.daisngid29163246
dc.contributor.daisngid4213964
dc.contributor.daisngid907846
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Garcia-Canton, C
dc.contributor.wosstandardWOS:Rodenas, A
dc.contributor.wosstandardWOS:Lopez-Aperador, C
dc.contributor.wosstandardWOS:Rivero, Y
dc.contributor.wosstandardWOS:Anton, G
dc.contributor.wosstandardWOS:Monzon, T
dc.contributor.wosstandardWOS:Diaz, N
dc.contributor.wosstandardWOS:Vega, N
dc.contributor.wosstandardWOS:Loro, JF
dc.contributor.wosstandardWOS:Santana, A
dc.contributor.wosstandardWOS:Esparza, N
dc.date.coverdateEnero 2019
dc.identifier.ulpgces
dc.description.sjr0,571
dc.description.jcr1,985
dc.description.sjrqQ2
dc.description.jcrqQ3
dc.description.scieSCIE
item.fulltextCon texto completo-
item.grantfulltextopen-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.deptGIR IUIBS: Bioquímica-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Ciencias Clínicas-
crisitem.author.deptGIR Estadística-
crisitem.author.deptDepartamento de Matemáticas-
crisitem.author.orcid0000-0002-0517-8209-
crisitem.author.orcid0000-0002-6513-4814-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgDepartamento de Matemáticas-
crisitem.author.fullNameGarcía Cantón, César-
crisitem.author.fullNameVega Díaz, Nicanor Jesús-
crisitem.author.fullNameLoro Ferrer, Juan Francisco-
crisitem.author.fullNameSantana Del Pino, Ángelo-
Colección:Artículos
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