23 research outputs found
Supplementary Material for: Addition of eGFR and Age Improves the Prognostic Absolute Renal Risk-Model in 1,134 Norwegian Patients with IgA Nephropathy
<p><b><i>Background:</i></b> Predicting outcome in individual patients
with IgA nephropathy (IgAN) is difficult but important. For this
purpose, the absolute renal risk (ARR) model has been developed in a
French cohort to calculate the risk of end-stage renal disease (ESRD)
and death. ARR (0-3) is scored in individual IgAN patients based on the
presence of proteinuria ≥1 g/24 h, hypertension, and severe
histopathological lesions (1 point per risk factor). We have validated
the ARR model in a Norwegian cohort of IgAN patients and tested whether
adding data on initial estimated glomerular filtration rate (eGFR) and
age improved prediction. <b><i>Methods:</i></b> IgAN patients diagnosed
between 1988 and 2012 were identified in the Norwegian Kidney Biopsy
Registry, and endpoints were identified by record linkage with the
Norwegian Renal Registry (ESRD) and the Population Registry (deaths). <b><i>Results:</i></b>
We identified 1,134 IgAN patients. The mean duration of follow-up was
10.2 years (range 0.0 to 25.7 years). Two hundred and fifty one patients
developed ESRD and there were 69 pre-ESRD deaths. The ARR model
significantly stratified the IgAN cohort according to risk of
ESRD/death. The inclusion of eGFR and age significantly improved the ARR
prognostic model; in the receiver operator characteristics (ROC)
analysis, area under the curve (AUC) at 10-years of follow-up increased
from 0.79 to 0.89, p < 0.001. <b><i>Conclusions:</i></b> ARR is a
suitable prognostic model for stratifying IgAN patients according to the
risk of ESRD or death. Including initial eGFR and age in the model
substantially improved its accuracy in our nationwide cohort.</p