Preoperative NT-proBNP and LVEF for the prediction of acute kidney injury after noncardiac surgery: a single-centre retrospective study

Table 4 Performance metrics of the final postoperative AKI prediction model

Variables	The final postoperative AKI prediction model
Variables	aOR (95% CI)	P value
Male sex	1.397(1.017, 1.918)	0.039
Medical history
Hypertension	1.626(1.163, 2.273)	0.004
Coronary heart disease	1.649(1.045, 2.600)	0.031
Congestive heart failure	2.482(1.497, 4.113)	0.000
Use of RAAS inhibitors	1.494(1.005, 2.220)	0.047
Preoperative laboratory findings
Proteinuria (≥ 1 +)	2.131(1.297, 3.501)	0.003
Surgical characteristics
Surgery duration	1.192(1.075, 1.323)	0.001
ASA physical status
I	Reference
II	1.807(0.874, 3.737)	0.111
III	2.530(1.155, 5.540)	0.020
IV	6.494(2.039, 20.689)	0.002
ln(NT-proBNP)	1.291(1.137, 1.465)	0.000
LVEF	0.912(0.896, 0.929)	0.000

Variables including sex, ASA physical status, coronary heart disease, congestive heart failure, hypertension, the use of RAAS inhibitors,the duration of surgery, proteinuria, NT-proBNP concentrations and LVEF levels
Abbreviations: AKI Acute kidney injury, ASA American Society of Anesthesiologists, aOR Adjusted odds ratio, CI Confidence interval, NT-proBNP N-terminal pro-brain natriuretic peptide, LVEF Left ventricular ejection fraction

ISSN: 1471-2253