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 |
Bibliographical note
AcknowledgmentsWe acknowledge the data management support of Grampian Data Safe Haven (DaSH) and the associated financial support of NHS Research Scotland, through NHS Grampian investment in the Grampian DaSH. SS is supported by a Clinical Research Training Fellowship from the Wellcome Trust (Ref 102729/Z/13/Z). We also acknowledge the support from The Farr Institute of Health Informatics Research. The Farr Institute is supported by a 10-funder consortium: Arthritis Research UK, the British Heart Foundation, Cancer Research UK, the Economic and Social Research Council, the Engineering and Physical Sciences Research Council, the Medical Research Council, the National Institute of Health Research, the National Institute for Social Care and Health Research (Welsh Assembly Government), the Chief Scientist Office (Scottish Government Health Directorates), and the Wellcome Trust (MRC Grant Nos: Scotland MR/K007017/1). The funders of this study had no role in study design; collection, analysis, and interpretation of data; writing the report; or the decision to submit the report for publication.
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
- School of Medicine, Medical Sciences & Nutrition, Aberdeen 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, Medical Statistics
Person: Academic Related - Research
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Simon Sawhney
- School of Medicine, Medical Sciences & Nutrition, Applied Health Sciences - Senior Clinical Lecturer
- School of Medicine, Medical Sciences & Nutrition, Aberdeen 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