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Acute Kidney Injury identification: use of electronic AKI alerts versus electronic health records in Hospital Episode Statistics and related patient outcomes

Safe People

Organisation name

UK Renal Registry

Applicant name(s)

Funders/ Sponsors

Safe Projects

Project ID

ILD85

Lay summary

Acute kidney injury (AKI) refers to an abrupt decline in the glomerular filtration rate (GFR) which may be associated with significant illness and mortality. Since April 2015, an automated real-time electronic alert system for AKI has been introduced in England, with alert data being sent to the UK Renal Registry (UKRR) for collation into a master patient index (MPI). Historically, the only way to routinely measure AKI incidence in hospital was to analyse the Hospital Episode Statistics (HES) where under-coding of AKI has been previously reported. The introduction of the MPI allows a comparison between AKI data from the electronic alert system and the AKI data in HES. This project aims to determine whether episodes of AKI identified in the UKRR MPI correspond to records held in HES and if there are associations between demographics and coding in HES. It also investigates how differences in clinical coding of AKI correlate with patients’ outcomes. All adults ≥18 years of age, between 01/01/2017 and 31/12/2017 with AKI alerts associated with a hospital admission will be included. We expect that from 01/01/2017 to 31/12/2017, more than 300,000 hospitalised adults received an AKI electronic alert. This study will help to identify the features associated with AKI recognition in hospital in England and can inform policies to improve its recognition.

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Safe Data

Dataset(s) name