Predicting renal disease progression in a large contemporary cohort with type 1 diabetes mellitus

AIMS/HYPOTHESIS: The aim of this study was to provide data from a contemporary population-representative cohort on rates and predictors of renal decline in type 1 diabetes. METHODS: We used data from a cohort of 5777 people with type 1 diabetes aged 16 and older, diagnosed before the age of 50, and...

Descripción completa

Detalles Bibliográficos
Autores principales: Colombo, Marco, McGurnaghan, Stuart J., Bell, Samira, MacKenzie, Finlay, Patrick, Alan W., Petrie, John R., McKnight, John A., MacRury, Sandra, Traynor, Jamie, Metcalfe, Wendy, McKeigue, Paul M., Colhoun, Helen M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997248/
https://www.ncbi.nlm.nih.gov/pubmed/31807796
http://dx.doi.org/10.1007/s00125-019-05052-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6997248/
https://www.ncbi.nlm.nih.gov/pubmed/31807796
http://dx.doi.org/10.1007/s00125-019-05052-z

Ejemplares similares