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: | , , |
|---|---|
| Tipo de documento: | artigo |
| Estado: | Versão publicada |
| Data de publicação: | 2025 |
| País: | España |
| Recursos: | Universitat Pompeu Fabra |
| Repositório: | Repositorio Digital de la UPF |
| OAI Identifier: | oai:dnet:rdupf_______::b485db0f562e3750f2e856207b9cb147 |
| Acesso em linha: | https://hdl.handle.net/10230/73252 http://dx.doi.org/10.1016/j.nefroe.2025.04.004 |
| Access Level: | Acceso aberto |
| Palavra-chave: | Chronic kidney disease Diabetes mellitus Kidney biopsy Non-diabetic kidney disease |
| id |
ES_10f9dbfacbd3776ddf7a4e91028786e9 |
|---|---|
| oai_identifier_str |
oai:dnet:rdupf_______::b485db0f562e3750f2e856207b9cb147 |
| network_acronym_str |
ES |
| network_name_str |
España |
| repository_id_str |
|
| spelling |
A predictive model of non-diabetic kidney disease in patients with diabetes mellitus and chronic kidney disease. A Spanish multi-center studyBermejo García, SheilaPascual, Julio (Pascual Santos)Soler, María JoséChronic kidney diseaseDiabetes mellitusKidney biopsyNon-diabetic kidney diseaseAims: 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.Elsevier2026202620252026info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/10230/73252http://dx.doi.org/10.1016/j.nefroe.2025.04.004reponame:Repositorio Digital de la UPFinstname:Universitat Pompeu FabraInglésNefrologia. 2025;45(5):360-8© The Author(s) 2025. Published by Elsevier España, S.L.U. on behalf of Sociedad Española de Nefrología. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:rdupf_______::b485db0f562e3750f2e856207b9cb1472026-06-12T07:21:37Z |
| 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 García, Sheila Chronic kidney disease Diabetes mellitus Kidney biopsy Non-diabetic kidney disease |
| 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 García, Sheila Pascual, Julio (Pascual Santos) Soler, María José |
| author |
Bermejo García, Sheila |
| author_facet |
Bermejo García, Sheila Pascual, Julio (Pascual Santos) Soler, María José |
| author_role |
author |
| author2 |
Pascual, Julio (Pascual Santos) Soler, María José |
| author2_role |
author author |
| dc.subject.none.fl_str_mv |
Chronic kidney disease Diabetes mellitus Kidney biopsy Non-diabetic kidney disease |
| topic |
Chronic kidney disease Diabetes mellitus Kidney biopsy Non-diabetic kidney disease |
| 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. |
| publishDate |
2025 |
| dc.date.none.fl_str_mv |
2025 2026 2026 2026 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
https://hdl.handle.net/10230/73252 http://dx.doi.org/10.1016/j.nefroe.2025.04.004 |
| url |
https://hdl.handle.net/10230/73252 http://dx.doi.org/10.1016/j.nefroe.2025.04.004 |
| dc.language.none.fl_str_mv |
Inglés |
| language_invalid_str_mv |
Inglés |
| dc.relation.none.fl_str_mv |
Nefrologia. 2025;45(5):360-8 |
| dc.rights.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| dc.format.none.fl_str_mv |
application/pdf application/pdf |
| dc.publisher.none.fl_str_mv |
Elsevier |
| publisher.none.fl_str_mv |
Elsevier |
| dc.source.none.fl_str_mv |
reponame:Repositorio Digital de la UPF instname:Universitat Pompeu Fabra |
| instname_str |
Universitat Pompeu Fabra |
| reponame_str |
Repositorio Digital de la UPF |
| collection |
Repositorio Digital de la UPF |
| repository.name.fl_str_mv |
|
| repository.mail.fl_str_mv |
|
| _version_ |
1869403540027342848 |
| score |
15.811543 |