A model to predict disease progression in patients with autosomal dominant polycystic kidney disease (ADPKD): the ADPKD Outcomes Model.

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Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/37786

Title:	A model to predict disease progression in patients with autosomal dominant polycystic kidney disease (ADPKD): the ADPKD Outcomes Model.
Authors:	McEwan, Phil Bennett Wilton, Hayley Ong, Albert C M Ørskov, Bjarne Sandford, Richard Scolari, Francesco Cabrera, Maria-Cristina V Walz, Gerd O'Reilly, Karl Robinson, Paul View more
Keywords:	Disease modelling ESRD End-stage renal disease Kidney volume Renal function decline Renal progression View more
Mesh:	Adult Aged Antidiuretic Hormone Receptor Antagonists Double-Blind Method Female Humans Male Middle Aged Polycystic Kidney, Autosomal Dominant Predictive Value of Tests Tolvaptan Treatment Outcome Disease Progression Models, Theoretical View more
Issue Date:	2018
Citation:	BMC Nephrol.2018 02;(19)1:37
Abstract:	Autosomal dominant polycystic kidney disease (ADPKD) is the leading inheritable cause of end-stage renal disease (ESRD); however, the natural course of disease progression is heterogeneous between patients. This study aimed to develop a natural history model of ADPKD that predicted progression rates and long-term outcomes in patients with differing baseline characteristics.
PMID:	29439650
URI:	https://hdl.handle.net/20.500.12530/37786
Rights:	openAccess
Appears in Collections:	Fundaciones e Institutos de Investigación > IIS H. U. La Paz > Artículos

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