Acute kidney injury risk assessment at the hospital front door: what is the best measure of risk?

Roberts, Gareth, Phillips, Dafydd, McCarthy, Rowan, Bolusani, Hemanth, Mizen, Paul, Hassan, Mohamed, Hooper, Rachel, Saddler, Kimberly, Hu, Mo, Lodhi, Sonal, Toynton, Ella, Geen, John, Lodhi, Vikas, Grose, Catherine and Phillips, Aled ORCID: https://orcid.org/0000-0001-9744-7113 2015. Acute kidney injury risk assessment at the hospital front door: what is the best measure of risk? Clinical Kidney Journal 8 (6) , pp. 673-680. 10.1093/ckj/sfv080

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Abstract

Background We examined the prevalence of acute kidney injury (AKI) risk factors in the emergency medical unit, generated a modified risk assessment tool and tested its ability to predict AKI. Methods A total of 1196 patients admitted to medical admission units were assessed for patient-associated AKI risk factors. Subsequently, 898 patients were assessed for a limited number of fixed risk factors with the addition of hypotension and sepsis. This was correlated to AKI episodes. Results In the first cohort, the prevalence of AKI risk factors was 2.1 ± 2.0 per patient, with a positive relationship between age and the number of risk factors and a higher number of risk factors in patients ≥65 years. In the second cohort, 12.3% presented with or developed AKI. Patients with AKI were older and had a higher number of AKI risk factors. In the AKI cohort, 72% of the patients had two or more AKI risk factors compared with 43% of the cohort with no AKI. When age ≥65 years was added as an independent risk factor, 84% of those with AKI had two or more AKI risk factors compared with 55% of those with no AKI. Receiver operating characteristic analysis suggests that the use of common patient-associated known AKI risk factors performs no better than age alone as a predictor of AKI. Conclusions Detailed assessment of well-established patient-associated AKI risk factors may not facilitate clinicians to apportion risk. This suggests that additional work is required to develop a more sensitive validated AKI-predictive tool that would be useful in this clinical setting.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Medicine
Subjects:	R Medicine > R Medicine (General)
Uncontrolled Keywords:	acute tubular necrosis AKI chronic renal failure chronic renal insufficiency epidemiology
Publisher:	Oxford University Press
ISSN:	2048-8505
Date of First Compliant Deposit:	23 November 2016
Date of Acceptance:	3 August 2015
Last Modified:	05 May 2023 23:58
URI:	https://orca.cardiff.ac.uk/id/eprint/96395

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