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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Detalles Bibliográficos
Autores: 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
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
Descripción
Sumario: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/).

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