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Table 3 Comparison of AKI detection across each KDIGO criteria

From: Algorithm-based detection of acute kidney injury according to full KDIGO criteria including urine output following cardiac surgery: a descriptive analysis

 

Disease group

AKI stages

Characteristic

AKI (n, %)

N = 13755

AKI 1 (n, %)

N = 3707

AKI 2 (n, %)

N = 6423

AKI 3 (n, %)

N = 3625

Detection of max_AKI_stage

 Drop in urine output

10,284 (75%)

2023 (55%)

5862 (91%)

2399 (66%)

 Rise in creatinine

1845 (13%)

1272 (34%)

273 (4.3%)

300 (8.3%)

 Drop in urine output and rise in creatinine

835 (6.1%)

412 (11%)

288 (4.5%)

135 (3.7%)

 Drop in urine output and initiation of dialysis and rise in creatinine

334 (2.4%)

0 (0%)

0 (0%)

334 (9.2%)

 Drop in urine output and initiation of dialysis

313 (2.3%)

0 (0%)

0 (0%)

313 (8.6%)

 Initiation of dialysis

72 (0.5%)

0 (0%)

0 (0%)

72 (2.0%)

 Initiation of dialysis and rise in creatinine

72 (0.5%)

0 (0%)

0 (0%)

72 (2.0%)

First detection of max_AKI_stage

 Drop in urine output

11,484 (83%)

2388 (64%)

6132 (95%)

2964 (82%)

 Rise in creatinine

2032 (15%)

1319 (36%)

291 (4.5%)

422 (12%)

 Initiation of dialysis

239 (1.7%)

0 (0%)

0 (0%)

239 (6.6%)

  1. Distinction is made between the general detection of a patient’s max AKI stage and the explicit time of detection. Percentages are computed with N of each subgroup