Table 1.
CI and renal variables/biomarkers.
CI was correlated with kidney mass, kidney to body mass ratio and serum and/or urine-based renal biomarkers including neutrophil gelatinase-associated lipocalin (NGAL), Kidney Injury Molecule-1 (KIM-1), Cystatin C, interleukin (IL)-18, serum creatinine (SCr), blood urea nitrogen (BUN), proteinuria and microalbuminuria. The n represents the number of datapoints available for a given biomarker and corresponding CI pair.
Table 2.
Data from a published study [9] were used as the source data for identifying and quantitating potential relationships between CI and renal biomarkers. NA = not available.
Fig 1.
(Top) CI tracks renal mass across a broad range of values. (Bottom) A linear correlation is also observed between these 2 variables across the CI spectrum.
Fig 2.
CI and kidney to body mass ratio.
(Top) CI tracks kidney to body mass ratio across a broad range of values. (Bottom) A linear correlation is also observed between these 2 variables across the CI spectrum.
Fig 3.
There is no correlation between CI and serum Cystatin C in this model of ARPKD.
Fig 4.
(Top) CI tracks BUN across a broad range of values. (Bottom) A linear correlation is also observed between these 2 variables across the CI spectrum.
Fig 5.
(Top) CI tracks SCr across a broad range of values. (Bottom) A linear correlation is also observed between these 2 variables across the CI spectrum.
Fig 6.
(Top) CI tracks 24 hr urine IL-18 across a broad range of values. (Bottom) A linear correlation is also observed between these 2 variables across the CI spectrum).
Table 3.
CI as a function of biomarkers.
CI can be computed using any member of a family of equations. In these equations, the variables driving CI are BUN, SCr and 24 hr urine IL-18.
Fig 7.
A 3-dimensional scattergram showing CI as a function of SCr and BUN. A robust linear correlation is observed. Including urine IL-18 in this plot would have required an additional spatial dimension.
Fig 8.
Big data–like analysis of multiple blood and urine-based biomarkers of renal injury/dysfunction yielded a calculator for estimating CI in ARPKD.