Publication:
Artery Wall Assessment Helps Predict Kidney Transplant Outcome.

dc.contributor.authorHernández, Domingo
dc.contributor.authorTriñanes, Javier
dc.contributor.authorSalido, Eduardo
dc.contributor.authorPitti, Sergio
dc.contributor.authorRufino, Margarita
dc.contributor.authorGonzález-Posada, José Manuel
dc.contributor.authorTorres, Armando
dc.contributor.authoraffiliation[Hernández,D] Nephrology Department, Carlos Haya Regional University Hospital and University of Málaga (IBIMA), REDinREN, Málaga, Spain. [Triñanes,J; Salido,E] Research Unit, Hospital Universitario de Canarias, Tenerife, Spain. [Pitti,S] Radiology Department, Hospital Universitario de Canarias, Tenerife, Spain. [Rufino,M; González-Posada,JM; Torres,A] Nephrology Department, Hospital Universitario de Canarias, CIBICAN, University of La Laguna, Instituto Reina Sofía de Investigación Renal (IRSIN), Tenerife, Spain.
dc.date.accessioned2024-01-15T18:17:41Z
dc.date.available2024-01-15T18:17:41Z
dc.date.issued2015-06-12
dc.description.abstractBACKGROUND: Kidney transplant recipients have high cardiovascular risk, and vascular inflammation may play an important role. We explored whether the inflammatory state in the vessel wall was related to carotid intima-media thickness (c-IMT) and patient survival following kidney transplantation. METHODS: In this prospective observational cohort study we measured c-IMT and expression of proinflammatory cytokines and adhesion molecules in the inferior epigastric artery in 115 kidney transplant candidates. Another c-IMT measurement was done 1-year post-transplantation in 107. By stepwise multiple regression analysis we explored factors associated with baseline c-IMT and their changes over time. Multivariate Cox regression analysis was constructed to identify risk factors for mortality. RESULTS: A worse cardiovascular profile (older age, smoker, diabetic, carotid plaque, systolic blood pressure and vascular calcification) and higher VCAM-1 levels were found in patients in the highest baseline c-IMT tertile, who also had a worse survival. Factors independently related to baseline c-IMT were age (β=0.369, P<0.0001), fasting glucose (β=0.168, P=0.045), smoking (β=0.228, P=0.003) and VCAM-1 levels (β=0.244, P=0.002). Independent factors associated with c-IMT measurement 1-year post-transplantation were baseline c-IMT (β=-0.677, P<0.0001), post-transplant diabetes (β=0.225, P=0.003) and triglycerides (β=0.302, P=0.023). Vascular VCAM-1 levels were associated with increased risk of mortality in bivariate and multivariate Cox regression. Notably, nearly 50% of patients showed an increase or maintenance of high c-IMT 1 year post-transplantation and these patients experienced a higher mortality (13 versus 3.5%; P=0.021). CONCLUSION: A worse cardiovascular profile and a higher vascular VCAM-1 protein levels at time of KT are related to subclinical atheromatosis. This could lead to a higher post-transplant mortality. Pre-transplant c IMT, post-transplant diabetes and triglycerides at 1-year post-transplantation may condition a high c-IMT measurement post-transplantation, which may decrease patient survival.
dc.description.sponsorshipThis study was supported by the Spanish Ministry of Education and Science (grant SAF2007-60314) and in part by grants from the Instituto de Salud Carlos III and Fondos Europeos para el Desarrollo Regional (FEDER); the REDinREN RD12/0021/0015, RD12/0021/008; ICI14/00016 from the Spanish Ministry of Economy and Competitiveness; and by grant PI-0590/2012 (in part) from the Consejería de Salud del Gobierno de Andalucía.
dc.identifier.doi10.1371/journal.pone.0129083
dc.identifier.e-issn1932-6203es_ES
dc.identifier.journalPloS Onees_ES
dc.identifier.otherhttp://hdl.handle.net/10668/2325
dc.identifier.pubmedID26066045es_ES
dc.identifier.urihttp://hdl.handle.net/20.500.12105/17094
dc.language.isoeng
dc.publisherPublic Library of Science (PLOS)
dc.relation.publisherversionhttp://journals.plos.org/plosone/article?id=10.1371/journal.pone.0129083es
dc.rights.accessRightsopen accesses_ES
dc.rights.licenseAttribution 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/*
dc.subjectAterosclerosis
dc.subjectPresión sanguínea
dc.subjectEnfermedades cardiovasculares
dc.subjectMoléculas de adhesión celular
dc.subjectEstudios de cohortes
dc.subjectCitocinas
dc.subjectDiabetes mellitus
dc.subjectArterias epigástricas
dc.subjectAyuno
dc.subjectInflamación
dc.subjectTrasplante de riñón
dc.subjectFactores de riesgo
dc.subjectHábito de fumar
dc.subjectTriglicéridos
dc.subjectCalcificación vascular
dc.subject.meshAtherosclerosis
dc.subject.meshBlood Pressure
dc.subject.meshCardiovascular Diseases
dc.subject.meshCarotid Intima-Media Thickness
dc.subject.meshCell Adhesion Molecules
dc.subject.meshCohort Studies
dc.subject.meshCytokinesis
dc.subject.meshDiabetes Mellitus
dc.subject.meshEpigastric Arteries
dc.subject.meshFasting
dc.subject.meshGlucose
dc.subject.meshHumans
dc.subject.meshInflammation
dc.subject.meshKidney
dc.subject.meshKidney Transplantation
dc.subject.meshProspective Studies
dc.subject.meshRegression Analysis
dc.subject.meshRisk Factors
dc.subject.meshHabits
dc.subject.meshTriglycerides
dc.subject.meshVascular Calcification
dc.subject.meshVascular Cell Adhesion Molecule-1
dc.titleArtery Wall Assessment Helps Predict Kidney Transplant Outcome.
dc.typeresearch article
dc.type.hasVersionVoR
dspace.entity.typePublication
relation.isPublisherOfPublicationa2759e3d-0d58-4e8a-9fcd-c6130ee333d1
relation.isPublisherOfPublication.latestForDiscoverya2759e3d-0d58-4e8a-9fcd-c6130ee333d1

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