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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.

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Table 1 Expand

Table 2.

Source data.

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.

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Table 2 Expand

Fig 1.

CI and kidney mass.

(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.

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Fig 1 Expand

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.

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Fig 2 Expand

Fig 3.

CI and serum cystatin C.

There is no correlation between CI and serum Cystatin C in this model of ARPKD.

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Fig 3 Expand

Fig 4.

CI and BUN.

(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.

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Fig 4 Expand

Fig 5.

CI and SCr.

(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.

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Fig 5 Expand

Fig 6.

CI and urine IL-18.

(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).

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Fig 6 Expand

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.

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Table 3 Expand

Fig 7.

CI vs a biomarker pair.

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.

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Fig 7 Expand

Fig 8.

CI calculator in ARPKD.

Big data–like analysis of multiple blood and urine-based biomarkers of renal injury/dysfunction yielded a calculator for estimating CI in ARPKD.

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