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 objec...
| Publicado en: | Nefrología Vol. 45; no. 5; pp. 360 - 369 |
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| Autores principales: | , , , , , , , , , , , , , , , , , , , |
| Formato: | Artículo |
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Revista Nefrologia
May2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=lth&AN=184946184&site=ehost-live header: @attributes: shortDbName: lth uiTerm: 184946184 longDbName: MedicLatina uiTag: AN controlInfo: bkinfo: jinfo: jid: 02116995 50C3 jtl: Nefrología issn: 02116995 maglogo: N pubinfo: dt: May2025 vid: 45 iid: 5 pid: 39358 pub: Revista Nefrologia artinfo: ui: 184946184 10.1016/j.nefro.2024.12.007 ppf: 360 ppct: 9 formats: fmt: @attributes: type: P size: 1.3MB tig: atl: A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center study. aug: au: Bermejo, Sheila González, Ester López-Revuelta, Katia Ibernon, Meritxell López, Diana Martín-Gómez, Adoración Garcia-Osuna, Rosa Linares, Tania Díaz, Montserrat Martín, Nàdia Barros, Xoana Marco, Helena Navarro, Maruja Isabel Esparza, Noemí Elias, Sandra Coloma, Ana Robles, Nicolás Roberto Agraz, Irene Poch, Esteban Rodas, Lida affil: Nephrology Department, Hospital Vall d'Hebron, Barcelona, Spain Vall D'hebron Research Institute (VHIR), Barcelona, Spain Nephrology Department, Hospital 12 de Octubre, Madrid, Spain Nephrology Department, Hospital Universitario Fundación Alcorcón, Madrid, Spain Nephrology Department, Hospital Sant Joan Despí Moisès Broggi, Barcelona, Spain Nephrology Department, Clínica Universidad de Navarra, Pamplona, Spain Nephrology Department, Hospital de Poniente, Almería, Spain Nephrology Department, Hospital de Palamós, Girona, Spain Nephrology Department, Hospital Universitario Gregorio Marañón, Madrid, Spain Nephrology Department, Fundació Puigvert, Barcelona, Spain Nephrology Department, Hospital Universitari Josep Trueta, Girona, Spain Nephrology Department, Hospital Germans Trias i Pujol, Badalona, Spain Nephrology Department, Hospital Universitario Insular de Gran Canaria, Las Palmas de Gran Canaria, Spain Nephrology Department, Hospital Universitario Ramón y Cajal, Madrid, Spain Nephrology Department, Hospital San Pedro, Logroño, Spain Nephrology Department, Hospital de Bellvitge, Hospitalet de Llobregat, Spain Nephrology Department, Hospital Infanta Cristina, Badajoz, Spain Nephrology Department, Hospital Clínic, Barcelona, Spain IDIBAPS, Universitat de Barcelona, Spain su: Peripheral vascular diseases Diabetic nephropathies Renal biopsy Chronic kidney failure Clinical indications sug: subj: Peripheral vascular diseases Diabetic nephropathies Renal biopsy Chronic kidney failure Clinical indications keyword: Chronic kidney disease Diabetes mellitus Kidney biopsy Non-diabetic kidney disease Biopsia renal Enfermedad renal crónica Enfermedad renal no diabética ab: 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. 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 anatomopatológico 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. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Nefrología is the property of Revista Nefrologia and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Nefrología holder: Revista Nefrologia dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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