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...

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Main Authors: Sheila Bermejo, Ester González, Katia López-Revuelta, Meritxell Ibernon, Diana López, Adoración Martín-Gómez, Rosa Garcia-Osuna, Tania Linares, Montserrat Díaz, Nàdia Martín, Xoana Barros, Helena Marco, Maruja Isabel Navarro, Noemí Esparza, Sandra Elias, Ana Coloma, Nicolás Roberto Robles, Irene Agraz, Esteban Poch, Lida Rodas, Víctor Lozano, Beatriz Fernández-Fernández, Eduardo Hernández, Maria Isabel Martínez, Ramona Ionela Stanescu, José Pelayo Moirón, Núria García-Fernández, Marian Goicoechea, Francesca Calero, Josep Bonet, Fernando Liaño, Julio Pascual, Manuel Praga, Xavier Fulladosa, María José Soler
Format: Article
Language:Spanish
Published: Elsevier 2025-05-01
Series:Nefrología
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Online Access:http://www.sciencedirect.com/science/article/pii/S0211699524001231
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author Sheila Bermejo
Ester González
Katia López-Revuelta
Meritxell Ibernon
Diana López
Adoración Martín-Gómez
Rosa Garcia-Osuna
Tania Linares
Montserrat Díaz
Nàdia Martín
Xoana Barros
Helena Marco
Maruja Isabel Navarro
Noemí Esparza
Sandra Elias
Ana Coloma
Nicolás Roberto Robles
Irene Agraz
Esteban Poch
Lida Rodas
Víctor Lozano
Beatriz Fernández-Fernández
Eduardo Hernández
Maria Isabel Martínez
Ramona Ionela Stanescu
José Pelayo Moirón
Núria García-Fernández
Marian Goicoechea
Francesca Calero
Josep Bonet
Fernando Liaño
Julio Pascual
Manuel Praga
Xavier Fulladosa
María José Soler
author_facet Sheila Bermejo
Ester González
Katia López-Revuelta
Meritxell Ibernon
Diana López
Adoración Martín-Gómez
Rosa Garcia-Osuna
Tania Linares
Montserrat Díaz
Nàdia Martín
Xoana Barros
Helena Marco
Maruja Isabel Navarro
Noemí Esparza
Sandra Elias
Ana Coloma
Nicolás Roberto Robles
Irene Agraz
Esteban Poch
Lida Rodas
Víctor Lozano
Beatriz Fernández-Fernández
Eduardo Hernández
Maria Isabel Martínez
Ramona Ionela Stanescu
José Pelayo Moirón
Núria García-Fernández
Marian Goicoechea
Francesca Calero
Josep Bonet
Fernando Liaño
Julio Pascual
Manuel Praga
Xavier Fulladosa
María José Soler
author_sort Sheila Bermejo
collection DOAJ
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. Resumen: Introducción: La realización de la biopsia renal está aumentando en los pacientes diabéticos, diagnosticándose entre el 50-60% de nefropatía no-diabética (NND). Este hecho es crucial dado que se ha demostrado una mejor supervivencia y pronóstico renal en la NND comparado con la nefropatía diabética (ND). El objetivo de este estudio es proporcionar una herramienta de práctica clínica a través de un modelo predictivo de NND. Material y métodos: Estudio observacional multicéntrico español del resultado anatomo-patológico en los pacientes con diabetes y biopsia renal desde 2002 hasta el 2014. Un análisis de regresión logística y la probabilidad de presentar NND fue calculada mediante una puntuación obtenida. Resultados: Un total de 832 pacientes fueron analizados. Se desarrolló un modelo predictivo de riesgo certero para la NND con 5 variables clínicas (edad, creatinina, presencia de retinopatía diabética, microhematuria y enfermedad vascular periférica) obteniendo una puntuación para cada una que permite una predicción adecuada de NND. Conclusiones: En nuestro estudio, desarrollamos una puntuación de estratificación de riesgo para calcular la probabilidad de NND. Esto podría ser en un futuro próximo una herramienta útil para la indicación clínica de biopsia renal en los pacientes con diabetes y enfermedad renal.
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spelling doaj-art-4a6ca8a44a74493d9bb3398b9cfc770b2025-08-20T02:18:46ZspaElsevierNefrología0211-69952025-05-0145536036810.1016/j.nefro.2024.12.007A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center studySheila Bermejo0Ester González1Katia López-Revuelta2Meritxell Ibernon3Diana López4Adoración Martín-Gómez5Rosa Garcia-Osuna6Tania Linares7Montserrat Díaz8Nàdia Martín9Xoana Barros10Helena Marco11Maruja Isabel Navarro12Noemí Esparza13Sandra Elias14Ana Coloma15Nicolás Roberto Robles16Irene Agraz17Esteban Poch18Lida Rodas19Víctor Lozano20Beatriz Fernández-Fernández21Eduardo Hernández22Maria Isabel Martínez23Ramona Ionela Stanescu24José Pelayo Moirón25Núria García-Fernández26Marian Goicoechea27Francesca Calero28Josep Bonet29Fernando Liaño30Julio Pascual31Manuel Praga32Xavier Fulladosa33María José Soler34Nephrology Department, Hospital Vall d’Hebron, Barcelona, Spain; Vall D’hebron Research Institute (VHIR), Barcelona, Spain; Corresponding authors.Nephrology Department, Hospital 12 de Octubre, Madrid, SpainNephrology Department, Hospital Universitario Fundación Alcorcón, Madrid, SpainNephrology Department, Hospital Sant Joan Despí Moisès Broggi, Barcelona, SpainNephrology Department, Clínica Universidad de Navarra, Pamplona, SpainNephrology Department, Hospital de Poniente, Almería, SpainNephrology Department, Hospital de Palamós, Girona, SpainNephrology Department, Hospital Universitario Gregorio Marañón, Madrid, SpainNephrology Department, Fundació Puigvert, Barcelona, SpainNephrology Department, Hospital Universitari Josep Trueta, Girona, SpainNephrology Department, Hospital Universitari Josep Trueta, Girona, SpainNephrology Department, Hospital Germans Trias i Pujol, Badalona, SpainNephrology Department, Hospital Germans Trias i Pujol, Badalona, SpainNephrology Department, Hospital Universitario Insular de Gran Canaria, Las Palmas de Gran Canaria, SpainNephrology Department, Hospital Universitario Ramón y Cajal, Madrid, SpainNephrology Department, Hospital San Pedro, Logroño, Spain; Nephrology Department, Hospital de Bellvitge, Hospitalet de Llobregat, SpainNephrology Department, Hospital Infanta Cristina, Badajoz, SpainNephrology Department, Hospital Vall d’Hebron, Barcelona, Spain; Vall D’hebron Research Institute (VHIR), Barcelona, SpainNephrology Department, Hospital Clínic, Barcelona, Spain; IDIBAPS, Universitat de Barcelona, SpainNephrology Department, Hospital Clínic, Barcelona, Spain; IDIBAPS, Universitat de Barcelona, SpainNephrology Department, Hospital Clínic, Barcelona, Spain; IDIBAPS, Universitat de Barcelona, SpainNephrology Department, Fundación Jiménez Díaz, Madrid, SpainNephrology Department, Hospital 12 de Octubre, Madrid, SpainNephrology Department, Hospital Universitario Fundación Alcorcón, Madrid, SpainNephrology Department, Hospital Universitario Fundación Alcorcón, Madrid, SpainNephrology Department, Clínica Universidad de Navarra, Pamplona, SpainNephrology Department, Clínica Universidad de Navarra, Pamplona, SpainNephrology Department, Hospital Universitario Gregorio Marañón, Madrid, SpainNephrology Department, Fundació Puigvert, Barcelona, SpainNephrology Department, Hospital Germans Trias i Pujol, Badalona, SpainInstituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), GLOSEN, GLOMCAT, GEENDIAB, SpainNephrology Department, Hospital del Mar, Barcelona, SpainNephrology Department, Hospital 12 de Octubre, Madrid, SpainNephrology Department, Hospital de Bellvitge, Hospitalet de Llobregat, SpainNephrology Department, Hospital Vall d’Hebron, Barcelona, Spain; Vall D’hebron Research Institute (VHIR), Barcelona, Spain; Corresponding authors.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. Resumen: Introducción: La realización de la biopsia renal está aumentando en los pacientes diabéticos, diagnosticándose entre el 50-60% de nefropatía no-diabética (NND). Este hecho es crucial dado que se ha demostrado una mejor supervivencia y pronóstico renal en la NND comparado con la nefropatía diabética (ND). El objetivo de este estudio es proporcionar una herramienta de práctica clínica a través de un modelo predictivo de NND. Material y métodos: Estudio observacional multicéntrico español del resultado anatomo-patológico en los pacientes con diabetes y biopsia renal desde 2002 hasta el 2014. Un análisis de regresión logística y la probabilidad de presentar NND fue calculada mediante una puntuación obtenida. Resultados: Un total de 832 pacientes fueron analizados. Se desarrolló un modelo predictivo de riesgo certero para la NND con 5 variables clínicas (edad, creatinina, presencia de retinopatía diabética, microhematuria y enfermedad vascular periférica) obteniendo una puntuación para cada una que permite una predicción adecuada de NND. Conclusiones: En nuestro estudio, desarrollamos una puntuación de estratificación de riesgo para calcular la probabilidad de NND. Esto podría ser en un futuro próximo una herramienta útil para la indicación clínica de biopsia renal en los pacientes con diabetes y enfermedad renal.http://www.sciencedirect.com/science/article/pii/S0211699524001231Biopsia renalDiabetes mellitusEnfermedad renal crónicaEnfermedad renal no diabética
spellingShingle Sheila Bermejo
Ester González
Katia López-Revuelta
Meritxell Ibernon
Diana López
Adoración Martín-Gómez
Rosa Garcia-Osuna
Tania Linares
Montserrat Díaz
Nàdia Martín
Xoana Barros
Helena Marco
Maruja Isabel Navarro
Noemí Esparza
Sandra Elias
Ana Coloma
Nicolás Roberto Robles
Irene Agraz
Esteban Poch
Lida Rodas
Víctor Lozano
Beatriz Fernández-Fernández
Eduardo Hernández
Maria Isabel Martínez
Ramona Ionela Stanescu
José Pelayo Moirón
Núria García-Fernández
Marian Goicoechea
Francesca Calero
Josep Bonet
Fernando Liaño
Julio Pascual
Manuel Praga
Xavier Fulladosa
María José Soler
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study
Nefrología
Biopsia renal
Diabetes mellitus
Enfermedad renal crónica
Enfermedad renal no diabética
title 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_short A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study
title_sort predictive model of non diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease a spanish multi center study
topic Biopsia renal
Diabetes mellitus
Enfermedad renal crónica
Enfermedad renal no diabética
url http://www.sciencedirect.com/science/article/pii/S0211699524001231
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