Is routine hospital episode data sufficient for identifying individuals with chronic kidney disease? : A comparison study with laboratory data

© The Author(s) 2014. Acknowledgements We thank the Information Services Division, Scotland, who provided the SMR01 data, and NHS Grampian, who provided the biochemistry data. We also thank the University of Aberdeen’s Data Management Team. Funding This work was supported by the Chief Scientists Office for Scotland (grant no. CZH/4/656).

Looking to the future : Predicting renal replacement outcomes in a large community cohort with chronic kidney disease

Peer reviewed

Looking to the future : Predicting renal replacement outcomes in a large community cohort with chronic kidney disease

Peer reviewed

Altered fibrinolysis in autosomal dominant thrombomodulin associated coagulopathy

The NIHR BioResource-Rare Diseases and the ThromboGenomics sequencing projects are supported by the National Institute for Health Research (NIHR; http://www.nihr.ac.uk). KB is an NIHR academic clinical fellow. SKW is supported by a Medical Research Council (MRC) Clinical Training Fellowship (MR/K023489/1). KS and ET are supported by the NIHR BioResource Rare Diseases. CSW and NJM are supported by the British Heart Foundation (FS/11/2/28579). ADM is supported by the NIHR Bristol Cardiovascular Biomedical Research Unit.

Looking to the future : Predicting renal replacement outcomes in a large community cohort with chronic kidney disease

Peer reviewed

Long term effects of gestational hypertension and pre-eclampsia on kidney function : Record linkage study

This research was funded by the Chief Scientists Office, Scotland (CZH/4/659).