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Defining Acute Kidney Injury Episodes
- Source :
- International Journal of Population Data Science, Vol 5, Iss 5 (2020), International Journal of Population Data Science, Vol 4, Iss 3 (2019)
- Publication Year :
- 2019
- Publisher :
- Swansea University, 2019.
-
Abstract
- IntroductionAcute Kidney Injury (AKI) is a common, serious condition effecting up to 20% of all hospital admissions in the UK. AKI has an agreed definition for its recognition, however there is no consensus for the duration of an AKI episode. Objectives and ApproachWe aimed to describe four different potential definitions of an AKI episode. AKI was identified using an SQL (Structured Query Language) based algorithm (an implementation of the NHS England eAlert algorithm) applied to serum creatinine (SCr) results from a South Wales population of ~518,000 people, held in the Secure Anonymised Information Linkage (SAIL) Databank. Using a person’s index AKI case, we applied four different rules to define an episode of AKI. These definitions are: ALERTS - until they no longer trigger an AKI eAlert, 90 DAYS - until 90 days post first AKI test and
- Subjects :
- medicine.medical_specialty
Information Systems and Management
medicine.medical_treatment
Population
Health Informatics
urologic and male genital diseases
chemistry.chemical_compound
medicine
education
Dialysis
Demography
First episode
Creatinine
education.field_of_study
business.industry
Gold standard
Acute kidney injury
medicine.disease
female genital diseases and pregnancy complications
chemistry
lcsh:HB848-3697
Cohort
Emergency medicine
lcsh:Demography. Population. Vital events
Transplant patient
business
Information Systems
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- International Journal of Population Data Science, Vol 5, Iss 5 (2020), International Journal of Population Data Science, Vol 4, Iss 3 (2019)
- Accession number :
- edsair.doi.dedup.....8a27f312419436ebe4113d2ad60eae2d