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) (KAR id:78655)
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Official URL: https://doi.org/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 |
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DOI/Identification number: | 10.3310/hsdr04060 |
Subjects: |
R Medicine R Medicine > RA Public aspects of medicine > RA421 Public health. Hygiene. Preventive Medicine |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Mathematics, Statistics and Actuarial Science |
Depositing User: | Maria Kalli |
Date Deposited: | 13 Nov 2019 12:23 UTC |
Last Modified: | 08 Jan 2024 23:09 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/78655 (The current URI for this page, for reference purposes) |
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