A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study
Aims: Kidney biopsy is increasing in patients with diabetes and around 50-60% of patients with diabetes have non-diabetic kidney disease (NDKD). Identifying NDKD is crucial since these patients have a better renal prognosis and survival compared to patients with diabetic nephropathy (DN). The object...
| Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Barcelona |
| Repositorio: | Dipòsit Digital de la UB |
| OAI Identifier: | oai:diposit.ub.edu:2445/222096 |
| Acceso en línea: | https://hdl.handle.net/2445/222096 |
| Access Level: | acceso abierto |
| Palabra clave: | Diabetis Malalties del ronyó Diabetes Kidney diseases |
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A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center studyBermejo, SheilaGonzález, EsterLópez Revuelta, KatiaIbernón, MeritxellLópez, DianaMartín Gómez, AdoraciónGarcía Osuna, RosaLinares, TaniaDíaz, MontserratMartín, NàdiaBarros Freiría, XoanaMarco, HelenaIsabel Navarro, MarujaEsparza, NoemíElias, SandraColoma, AnaRobles, Nicolás RobertoAgraz, IrenePoch, EstebanRodas, LidaLozano, VíctorFernández Fernández, BeatrizHernández, EduardoIsabel Martínez, MariaStanescu, Ramona IonelaPelayo Moirón, JoséGarcía Fernández, NúriaGoicoechea, MarianCalero, FrancescaBonet, JosepLiaño, FernandoPascual, Julio (Pascual Santos) Praga, ManuelFulladosa, XavierJosé Soler, MaríaDiabetisMalalties del ronyóDiabetesKidney diseasesAims: Kidney biopsy is increasing in patients with diabetes and around 50-60% of patients with diabetes have non-diabetic kidney disease (NDKD). Identifying NDKD is crucial since these patients have a better renal prognosis and survival compared to patients with diabetic nephropathy (DN). The objective of this study is to provide a clinical practice tool for through a predictive model of NDKD. Material and methods: Observational and multicenter Spanish study of the pathological results of kidney biopsies in patients with diabetes from 2002 to 2014. A logistic regression analysis and the probability of presenting NDKD was calculated using a punctuation score. Results: A total of 832 patients with diabetes and renal biopsy were analyzed. An accurate risk-predictive model for NDKD was developed with five top-ranked non-invasive clinical variables (age, serum creatinine, presence of diabetic retinopathy, microhematuria and peripheral vascular disease) obtaining a score for each one allowing for a proper prediction of NDKD. Conclusions: In our study, we developed a risk-stratification score to calculate the probability of NDKD. This could be in a next future a useful tool for the clinical indication of renal biopsy in patients with diabetes and kidney disease. (c) 2024 Published by Elsevier Espana, S.L.U. on behalf of Sociedad Espanola de Nefrolog & imath;a. This is an open access article under the CC BY-NC-ND license (http://creativecommons. org/licenses/by-nc-nd/4.0/).Elsevier BV2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/222096Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1016/j.nefro.2024.12.007Nefrología, 2024, vol. 45, num. 5, p. 360-368https://doi.org/10.1016/j.nefro.2024.12.007cc by-nc-nd (c) Bermejo, Sheila et al, 2025http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/2220962026-05-27T06:46:51Z |
| dc.title.none.fl_str_mv |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study |
| title |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study |
| spellingShingle |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study Bermejo, Sheila Diabetis Malalties del ronyó Diabetes Kidney diseases |
| title_short |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study |
| title_full |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study |
| title_fullStr |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study |
| title_full_unstemmed |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study |
| title_sort |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study |
| dc.creator.none.fl_str_mv |
Bermejo, Sheila González, Ester López Revuelta, Katia Ibernón, Meritxell López, Diana Martín Gómez, Adoración García Osuna, Rosa Linares, Tania Díaz, Montserrat Martín, Nàdia Barros Freiría, Xoana Marco, Helena Isabel Navarro, Maruja Esparza, Noemí Elias, Sandra Coloma, Ana Robles, Nicolás Roberto Agraz, Irene Poch, Esteban Rodas, Lida Lozano, Víctor Fernández Fernández, Beatriz Hernández, Eduardo Isabel Martínez, Maria Stanescu, Ramona Ionela Pelayo Moirón, José García Fernández, Núria Goicoechea, Marian Calero, Francesca Bonet, Josep Liaño, Fernando Pascual, Julio (Pascual Santos) Praga, Manuel Fulladosa, Xavier José Soler, María |
| author |
Bermejo, Sheila |
| author_facet |
Bermejo, Sheila González, Ester López Revuelta, Katia Ibernón, Meritxell López, Diana Martín Gómez, Adoración García Osuna, Rosa Linares, Tania Díaz, Montserrat Martín, Nàdia Barros Freiría, Xoana Marco, Helena Isabel Navarro, Maruja Esparza, Noemí Elias, Sandra Coloma, Ana Robles, Nicolás Roberto Agraz, Irene Poch, Esteban Rodas, Lida Lozano, Víctor Fernández Fernández, Beatriz Hernández, Eduardo Isabel Martínez, Maria Stanescu, Ramona Ionela Pelayo Moirón, José García Fernández, Núria Goicoechea, Marian Calero, Francesca Bonet, Josep Liaño, Fernando Pascual, Julio (Pascual Santos) Praga, Manuel Fulladosa, Xavier José Soler, María |
| author_role |
author |
| author2 |
González, Ester López Revuelta, Katia Ibernón, Meritxell López, Diana Martín Gómez, Adoración García Osuna, Rosa Linares, Tania Díaz, Montserrat Martín, Nàdia Barros Freiría, Xoana Marco, Helena Isabel Navarro, Maruja Esparza, Noemí Elias, Sandra Coloma, Ana Robles, Nicolás Roberto Agraz, Irene Poch, Esteban Rodas, Lida Lozano, Víctor Fernández Fernández, Beatriz Hernández, Eduardo Isabel Martínez, Maria Stanescu, Ramona Ionela Pelayo Moirón, José García Fernández, Núria Goicoechea, Marian Calero, Francesca Bonet, Josep Liaño, Fernando Pascual, Julio (Pascual Santos) Praga, Manuel Fulladosa, Xavier José Soler, María |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Diabetis Malalties del ronyó Diabetes Kidney diseases |
| topic |
Diabetis Malalties del ronyó Diabetes Kidney diseases |
| description |
Aims: Kidney biopsy is increasing in patients with diabetes and around 50-60% of patients with diabetes have non-diabetic kidney disease (NDKD). Identifying NDKD is crucial since these patients have a better renal prognosis and survival compared to patients with diabetic nephropathy (DN). The objective of this study is to provide a clinical practice tool for through a predictive model of NDKD. Material and methods: Observational and multicenter Spanish study of the pathological results of kidney biopsies in patients with diabetes from 2002 to 2014. A logistic regression analysis and the probability of presenting NDKD was calculated using a punctuation score. Results: A total of 832 patients with diabetes and renal biopsy were analyzed. An accurate risk-predictive model for NDKD was developed with five top-ranked non-invasive clinical variables (age, serum creatinine, presence of diabetic retinopathy, microhematuria and peripheral vascular disease) obtaining a score for each one allowing for a proper prediction of NDKD. Conclusions: In our study, we developed a risk-stratification score to calculate the probability of NDKD. This could be in a next future a useful tool for the clinical indication of renal biopsy in patients with diabetes and kidney disease. (c) 2024 Published by Elsevier Espana, S.L.U. on behalf of Sociedad Espanola de Nefrolog & imath;a. This is an open access article under the CC BY-NC-ND license (http://creativecommons. org/licenses/by-nc-nd/4.0/). |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://hdl.handle.net/2445/222096 |
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https://hdl.handle.net/2445/222096 |
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Inglés |
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Inglés |
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Reproducció del document publicat a: https://doi.org/10.1016/j.nefro.2024.12.007 Nefrología, 2024, vol. 45, num. 5, p. 360-368 https://doi.org/10.1016/j.nefro.2024.12.007 |
| dc.rights.none.fl_str_mv |
cc by-nc-nd (c) Bermejo, Sheila et al, 2025 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ info:eu-repo/semantics/openAccess |
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cc by-nc-nd (c) Bermejo, Sheila et al, 2025 http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
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openAccess |
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application/pdf |
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Elsevier BV |
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Elsevier BV |
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Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) reponame:Dipòsit Digital de la UB instname:Universidad de Barcelona |
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Universidad de Barcelona |
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Dipòsit Digital de la UB |
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Dipòsit Digital de la UB |
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