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Predicting the risk of acute kidney injury in primary care: derivation and validation of STRATIFY-AKI.

Constantinos KoshiarisLucinda ArcherSarah Lay-FlurrieKym I E SnellRichard D RileyRichard StevensAmitava BanerjeeJuliet A Usher-SmithAndrew CleggRupert A PayneMargaret OgdenFd Richard HobbsRichard J McManusJames Peter Sheppard
Published in: The British journal of general practice : the journal of the Royal College of General Practitioners (2023)
This clinical prediction model enables GPs to accurately identify patients at high risk of AKI, which will aid treatment decisions. As the vast majority of patients were at low risk, such a model may provide useful reassurance that most antihypertensive treatment is safe and appropriate while flagging the few for whom this is not the case.
Keyphrases
  • primary care
  • acute kidney injury
  • blood pressure
  • ejection fraction
  • end stage renal disease
  • newly diagnosed
  • patient reported outcomes
  • replacement therapy