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Development of risk models for the prediction of new or worsening acute kidney injury on or during hospital admission: a cohort and nested study

Kalli, Maria, Billings, Jenny R., Coulton, Simon, Farmer, Christopher K., Bedford, Michael, Farr, Marc, Wheeler, Toby, Stevens, Paul, Mottishaw, Tim (2016) Development of risk models for the prediction of new or worsening acute kidney injury on or during hospital admission: a cohort and nested study. Health Services and Delivery Research, 4 (6). ISSN 2050-4349. (doi:10.3310/hsdr04060)

Abstract

This study provides valuable evidence of relationships between key variables and AKI. We have developed a clinical algorithm and risk models for risk assessment within the first 24 hours of hospital admission. However, the study has its limitations, and further analysis and testing, including continuous modelling, non-linear modelling and interaction exploration, may further refine the models. The qualitative study has highlighted the complexity regarding the implementation and delivery of alerting systems in clinical practice.

Item Type: Article
DOI/Identification number: 10.3310/hsdr04060
Subjects: R Medicine
R Medicine > RA Public aspects of medicine > RA421 Public health. Hygiene. Preventive Medicine
Divisions: Faculties > Sciences > School of Mathematics Statistics and Actuarial Science > Statistics
Depositing User: Maria Kalli
Date Deposited: 13 Nov 2019 12:23 UTC
Last Modified: 06 Feb 2020 04:20 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/78655 (The current URI for this page, for reference purposes)
Billings, Jenny R.: https://orcid.org/0000-0002-5660-9478
Coulton, Simon: https://orcid.org/0000-0002-7704-3274
Farmer, Christopher K.: https://orcid.org/0000-0003-1736-8242
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