Predicting kidney failure risk after acute kidney injury among people receiving nephrology clinic care. Issue 5 (15th October 2018)

• Record Type: Journal Article
• Authors: Sawhney, Simon; Beaulieu, Monica; Black, Corri; Djurdjev, Ognjenka; Espino-Hernandez, Gabriela; Marks, Angharad; McLernon, David J; Sheriff, Zainab; Levin, Adeera
• Is Part Of: Nephrology dialysis transplantation. Volume 35:Issue 5(2020)
• Page Start: 836
• Page End: 845
• Publication Date: 2018-10-15
• Subjects: acute kidney injury -- epidemiology -- kidney failure -- prediction -- prognosis; Nephrology -- Periodicals; Hemodialysis -- Periodicals; Kidneys -- Transplantation -- Periodicals; Hemodialysis; Kidneys -- Transplantation; Nephrology; Periodicals; 616.61
• DOI: 10.1093/ndt/gfy294
• Languages: English
• ISSNs: 0931-0509

Abstract

Abstract: Background: 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. We evaluated whether the established kidney failure risk equation (KFRE) should account for previous AKI episodes when used in this setting. Methods: This 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 m 2 ). We also compared prediction models comparing the 5-year KFRE with two refitted models, one with and one without AKI as a predictor. Results: AKI 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 m 2 {hazard ratio [HR] 1.35 [95% confidence interval (CI) 1.07–1.70]}, no increase in those with eGFR <30 mL/min/1.73 m 2 ([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. Conclusions: AKI 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.