Abstract
The extent to which renal progression after acute kidney injury (AKI) arises from an initial step drop in kidney function (incomplete recovery), or from a long-term trajectory of subsequent decline, is unclear. This makes it challenging to plan or time post-discharge follow-up. This study of 14651 hospital survivors in 2003 (1966 with AKI, 12685 no AKI) separates incomplete recovery from subsequent renal decline by using the post-discharge estimated glomerular filtration rate (eGFR) rather than the pre-admission as a new reference point for determining subsequent renal outcomes. Outcomes were sustained 30% renal decline and de novo CKD stage 4, followed from 2003-2013. Death was a competing risk. Overall, death was more common than subsequent renal decline (37.5% vs 11.3%) and CKD stage 4 (4.5%). Overall, 25.7% of AKI patients had non-recovery. Subsequent renal decline was greater after AKI (vs no AKI) (14.8% vs 10.8%). Renal decline after AKI (vs no AKI) was greatest among those with higher post-discharge eGFRs with multivariable hazard ratios of 2.29 (1.88-2.78); 1.50 (1.13-2.00); 0.94 (0.68-1.32) and 0.95 (0.64-1.41) at eGFRs of 60 or more; 45-59; 30-44 and under 30, respectively. The excess risk after AKI persisted over ten years of study, irrespective of AKI severity, or post-episode proteinuria. Thus, even if post-discharge kidney function returns to normal, hospital admission with AKI is associated with increased renal progression that persists for up to ten years. Follow-up plans should avoid false reassurance when eGFR after AKI returns to normal.
Original language | English |
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Pages (from-to) | 440-452 |
Number of pages | 13 |
Journal | Kidney International |
Volume | 92 |
Issue number | 2 |
Early online date | 14 Apr 2017 |
DOIs | |
Publication status | Published - 31 Aug 2017 |
Keywords
- acute kidney injury
- chronic kidney disease
- epidemiology
- mortality
- progression
- prognosis
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Dive into the research topics of 'Post-discharge kidney function is associated with subsequent ten-year renal progression risk among survivors of acute kidney injury'. Together they form a unique fingerprint.Datasets
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Grampian Laboratory Outcomes Morbidity and Mortality Study (GLOMMS)
Black, C. (Creator) & Marks, A. (Creator), Grampian Data Safe Haven, 2014
http://www.abdn.ac.uk/ims/research/immunology/renal-304.php
Dataset
Profiles
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Corri Black
- Aberdeen Centre For Health Data Science
- School of Medicine, Medical Sciences & Nutrition, Centre for Health Data Science
- School of Medicine, Medical Sciences & Nutrition, Applied Health Sciences - Personal Chair (Clinical)
- School of Medicine, Medical Sciences & Nutrition, Grampian Data Safe Haven (DaSH)
- School of Medicine, Medical Sciences & Nutrition, Chronic Disease Research Group
- School of Medicine, Medical Sciences & Nutrition, Farr Aberdeen
Person: Clinical Academic
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David McLernon
- School of Medicine, Medical Sciences & Nutrition, Applied Health Sciences - Senior Research Fellow
- School of Medicine, Medical Sciences & Nutrition, Grampian Data Safe Haven (DaSH)
- School of Medicine, Medical Sciences & Nutrition, Medical Statistics
Person: Academic Related - Research
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Simon Sawhney
- School of Medicine, Medical Sciences & Nutrition, Applied Health Sciences - Senior Clinical Lecturer
- Aberdeen Centre For Health Data Science
- School of Medicine, Medical Sciences & Nutrition, Centre for Health Data Science
- School of Medicine, Medical Sciences & Nutrition, Farr Aberdeen
- School of Medicine, Medical Sciences & Nutrition, Grampian Data Safe Haven (DaSH)
Person: Clinical Academic
Equipment
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Grampian Data Safe Haven (DaSH)
Katie Wilde (Manager)
Institute of Applied Health SciencesResearch Facilities: Facility