FC029 : A multivariate model identifies genotype, hypertension and kidney length as independent baseline predictors of disease progression in a longitudinal autosomal dominant polycystic kidney disease patient cohort

Chen, W.C.E., Ong, A. orcid.org/0000-0002-7211-5400 and Chong, J.H. (2022) FC029 : A multivariate model identifies genotype, hypertension and kidney length as independent baseline predictors of disease progression in a longitudinal autosomal dominant polycystic kidney disease patient cohort. In: Nephrology Dialysis Transplantation. 59th ERA Congress, 19-22 May 2022, Paris, France (Online). Oxford University Press , I797-I797.

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2022 The Author(s).
Keywords: Polycystic Kidney Disease; Clinical Research; Genetics; Kidney Disease; 4.1 Discovery and preclinical testing of markers and technologies; Renal and urogenital
Dates:
  • Published: 3 May 2022
  • Published (online): 3 May 2022
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Sheffield Teaching Hospitals
Depositing User: Symplectic Sheffield
Date Deposited: 16 May 2022 11:18
Last Modified: 19 Jul 2024 11:26
Status: Published
Publisher: Oxford University Press
Refereed: Yes
Identification Number: 10.1093/ndt/gfac101.001
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Open Archives Initiative ID (OAI ID):

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