Abstract

BackgroundOutcomes after acute kidney injury (AKI) are well described, but not for those already under nephrology clinic care. This is where discussions about kidney failure risk are commonplace. We evaluated whether the established kidney failure risk equation (KFRE) should account for previous AKI episodes when used in this setting.MethodsThis observational cohort study included 7491 people referred for nephrology clinic care in British Columbia in 2003–09 followed to 2016. Predictors were previous Kidney Disease: Improving Global Outcomes–based AKI, age, sex, proteinuria, estimated glomerular filtration rate (eGFR) and renal diagnosis. Outcomes were 5-year kidney failure and death. We developed cause-specific Cox models (AKI versus no AKI) for kidney failure and death, stratified by eGFR (</≥30 mL/min/1.73 m2). We also compared prediction models comparing the 5-year KFRE with two refitted models, one with and one without AKI as a predictor.ResultsAKI was associated with increased kidney failure (33.1% versus 26.3%) and death (23.8% versus 16.8%) (P < 0.001). In Cox models, AKI was independently associated with increased kidney failure in those with an eGFR ≥30 mL/min/1.73 m2 {hazard ratio [HR] 1.35 [95% confidence interval (CI) 1.07–1.70]}, no increase in those with eGFR <30 mL/min/1.73 m2 ([HR 1.05 95% CI 0.91–1.21)] and increased mortality in both subgroups [respective HRs 1.89 (95% CI 1.56–2.30) and 1.43 (1.16–1.75)]. Incorporating AKI into a refitted kidney failure prediction model did not improve predictions on comparison of receiver operating characteristics (P = 0.16) or decision curve analysis. The original KFRE calibrated poorly in this setting, underpredicting risk.ConclusionsAKI carries a poorer long-term prognosis among those already under nephrology care. AKI may not alter kidney failure risk predictions, but the use of prediction models without appreciating the full impact of AKI, including increased mortality, would be simplistic. People with kidney diseases have risks beyond simply kidney failure. This complexity and variability of outcomes of individuals is important.

Highlights

  • Acute kidney injury (AKI) is a serious condition [1] with established risk factors [age, chronic kidney disease (CKD) and vascular comorbidities] [2]. It is associatied with increased longterm renal replacement therapy (RRT) [3], mortality [4] and CKD progression even when post-acute kidney injury (AKI) kidney function returns to ‘normal’ [5]

  • A breakdown of AKI by definition criteria, severity stage and recurrence of AKI episodes is provided in Supplementary data, Table S1

  • In subgroup analyses (Supplementary data, Tables S3–S5) we found a similar pattern of a large excess risk of death and small excess risk of kidney failure even when our definition of AKI was restricted to a criterion involving small creatinine changes (>26 mmol/L) within 48 h

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Summary

Introduction

Acute kidney injury (AKI) is a serious condition [1] with established risk factors [age, chronic kidney disease (CKD) and vascular comorbidities] [2]. There are limited data regarding the impact of episodes of AKI among people already under the care of nephrologists [6] Those under the regular care of nephrologists are a prioritized group, often with a known underlying renal diagnosis. Outcomes after acute kidney injury (AKI) are well described, but not for those already under nephrology clinic care. This is where discussions about kidney failure risk are commonplace.

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