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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

Bedford, Michael, Stevens, Paul, Coulton, Simon, Billings, Jenny R., Farr, Marc, Wheeler, Toby, Kalli, Maria, Mottishaw, Tim, Farmer, Christopher K. (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). pp. 1-159. ISSN 2050-4349. E-ISSN 2050-4357. (doi:10.3310/hsdr04060)

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http://dx.doi.org/10.3310/hsdr04060

Abstract

Background

Objectives

Study design

Settings and participants

Data collection

Data analysis

Main outcome measures

Findings

Conclusions

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 (General) > R858 Computer applications to medicine. Medical informatics. Medical information technology
R Medicine > RZ Other systems of medicine
Divisions: Faculties > Social Sciences > School of Social Policy Sociology and Social Research > Centre for Health Services Studies
Depositing User: Simon Coulton
Date Deposited: 02 Mar 2016 09:38 UTC
Last Modified: 10 Jun 2019 10:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/54403 (The current URI for this page, for reference purposes)
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