Publication
FGF23-klotho axis as predictive factors of fractures in type 2 diabetics with early chronic kidney disease
dc.contributor.author | Ribeiro, Ana Luisa | |
dc.contributor.author | Mendes, Filipa | |
dc.contributor.author | Carias, Eduarda | |
dc.contributor.author | Rato, Fátima | |
dc.contributor.author | Santos, Nélio | |
dc.contributor.author | Neves, Pedro Leão | |
dc.contributor.author | Silva, Ana Paula | |
dc.date.accessioned | 2020-02-18T21:01:28Z | |
dc.date.available | 2020-02-18T21:01:28Z | |
dc.date.issued | 2020 | |
dc.description.abstract | Background: The aim of our study was to evaluate the relevance of FGF23-klotho axis in the predisposition for bone fractures in type 2 diabetic patients with early chronic kidney disease. Methods: In a prospective study we included 126 type 2 diabetic patients with CKD stages 2-3 (from 2010 to 2017). We used descriptive statistics, ANOVA and chi-square test. Our population was divided into two groups according to the occurrence of a bone fracture event or not, and the groups were compared considering several biological and laboratorial parameters. We employed a multiple regression model to identify risk factors for bone fracture events and hazard ratios (HR) were calculated using a backward stepwise likelihood ratio (LR) Cox regression. Results: Patients with a fracture event displayed higher levels of FGF-23, Phosphorus, PTH, TNF-alpha, OxLDL, HOMA-IR, calcium x phosphorus product and ACR and lower levels of Osteocalcin, alpha-Klotho, 25(OH)D3 and eGFR compared with patients without a fracture event (p < 0.001). The number of patients with a fracture event was higher than expected within inclining CKD stages (chi 2, p = 0.06). The occurrence of fracture and the levels of TNF-alpha, klotho, 25(OH)D3 and OxLDL were found to predict patient entry into RRT (p < 0.05). Age, osteocalcin, alpha-Klotho and FGF-23 independently influenced the occurrence of bone fracture (p < 0.05). Conclusions: alpha-Klotho and FGF-23 levels may have a good clinical use as biomarkers to predict the occurrence of fracture events. (C) 2019 Elsevier Inc. All rights reserved. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | https://doi.org/10.1016/j.jdiacomp.2019.107476 | pt_PT |
dc.identifier.issn | 1056-8727 | |
dc.identifier.uri | http://hdl.handle.net/10400.1/13530 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.publisher | Elsevier | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Bone fracture | pt_PT |
dc.subject | Chronic kidney disease | pt_PT |
dc.subject | Diabetes | pt_PT |
dc.subject | FGF-23 | pt_PT |
dc.title | FGF23-klotho axis as predictive factors of fractures in type 2 diabetics with early chronic kidney disease | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.issue | 1 | pt_PT |
oaire.citation.startPage | 107476 | pt_PT |
oaire.citation.title | Journal of Diabetes and its Complications | pt_PT |
oaire.citation.volume | 34 | pt_PT |
person.familyName | Ribeiro Vicente | |
person.familyName | Mendes | |
person.familyName | Neves | |
person.givenName | Ana Luisa | |
person.givenName | Filipa | |
person.givenName | Pedro Leão | |
person.identifier.ciencia-id | 3313-C65E-A81B | |
person.identifier.ciencia-id | 1014-3EA2-C680 | |
person.identifier.orcid | 0000-0003-1583-3729 | |
person.identifier.orcid | 0000-0002-0329-8805 | |
person.identifier.orcid | 0000-0002-8463-0768 | |
person.identifier.scopus-author-id | 55817764700 | |
person.identifier.scopus-author-id | 7003907170 | |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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