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. 2018 Jul 27;2(6):400–410. doi: 10.1002/bjs5.86

Table 3.

Multivariable model for prediction of acute kidney injury in the derivation cohort

Odds ratio P
Age (years) < 0·001
30 0·51 (0·38, 0·69)
50 0·72 (0·62, 0·83)
70 1·00 (reference)
90 1·40 (1·21, 1·62)
Sex 0·002
M 1·00 (reference)
F 0·76 (0·63, 0·90)
eGFR (ml per min per 1·73 m2) < 0·001
30 2·20 (1·74, 2·79)
60 1·00 (reference)
90 0·77 (0·69, 0·87)
120 1·02 (0·76, 1·36)
ASA grade < 0·001
1 1·00 (reference)
2 1·26 (0·92, 1·73)
3 1·45 (1·03, 2·03)
4–5 2·81 (1·80, 4·40)
Planned surgical approach < 0·001
Open surgery 1·00 (reference)
Laparoscopic surgery 0·76 (0·64, 0·90)
Preoperative ACEi/ARB 0·009
No 1·00 (reference)
Yes 1·30 (1·07, 1·59)

Values in parentheses are 95 per cent confidence intervals. Age and estimated glomerular filtration rate (eGFR) were modelled as continuous variables; therefore odds ratios are given for a selection of values compared with a baseline value. ACEi, angiotensin‐converting enzyme inhibitor; ARB, angiotensin II receptor blocker.