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Table 1 Model updating methods used in the analysis

From: Using the kidney failure risk equation to predict end-stage kidney disease in CKD patients of South Asian ethnicity: an external validation study

Model

Explanation

Reason for updating

1

No change — original model

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2a — White cohort

2b — South Asian cohort

Adjustment of the baseline risk/hazard

Miscalibration in the large; overall O/E ratio is not close to 1

3a — White cohort

3b — South Asian cohort

Method 1 + adjusting the magnitude of the linear predictor

Calibration slope not close to 1 — the regression coefficients are over/under-fitted

4

Method 2 + addition of ethnicity as a predictor

A new factor is found to be important to the model

5

Re-estimation of all regression coefficients + addition of ethnicity as a predictor

The weighting of the coefficients in the original model needed to be adjusted after inclusion of a new predictor

6

Method 4 + accounting for competing risks (Fine and Gray model)

Other events (which prevent the primary event from occurring)

  1. Models 2a, 2b, 3a and 3b were created by updating the KFRE separately, using the corresponding ethnicity cohort. When developing a new model (i.e. models 5 and 6), the variables were scaled and centred, and ACR was log-transformed as according to the original KFRE to allow for comparison between the old and updated model coefficients