Skip to main content
. 2019 Dec 23;35(3):662–671. doi: 10.3904/kjim.2018.266

Table 3.

Univariate and multivariate analyses for predicting renal replacement therapy

Variable Univariate analysis
Multivariate analysis
OR (95% CI) p value OR (95% CI) p value
Age 2.28 (0.18–28.71) 0.523
Sex 0.153 (0.023–1.036) 0.054 0.198 (0.039–1.011) 0.072
DM 0.355 (0.052–2.404) 0.289
HTN 1.991 (0.532–7.449) 0.305
CKD 8.257 (0.868–78.532) 0.066
Severity of AKI (vs. stage 1 and stage 2)
 KDIGO stage 3 25.11 (1.86–58.05) 0.001 17.86 (1.20–265.49) < 0.005
Baseline eGFR 1.049 (0.971–1.010) 0.941
Baseline serum creatinine 1.039 (0.737–1.464) 0.829
Admission serum creatinine 1.512 (1.094–2.090) 0.012
Urine NGAL/Cr 1.035 (1.003–1.067) 0.030
Urine KIM-1/Cr 1.008 (0.996–1.021) 0.208
Urine TIMP-2/IGFBP7 (vs. 1st and 2nd quartile group)
 3rd Quartile group 8.48 (0.735–97.77) 0.087 5.75 (0.67–49.48) 0.011
 4th Quartile group 79.75 (5.19–1,225.37) 0.002 44.98 (4.40–460.29) 0.001

In the multivariate analysis model, a backward (LR) selection approach was adopted.

OR, odds ratio; CI, confidence interval; DM, diabetes mellitus; HTN, hypertension; CKD, chronic kidney disease; AKI, acute kidney injury; KDIGO, Kidney Disease Improving Global Outcomes; eGFR, estimate glomerular filtration rate; NGAL, neutrophil gelatinase-associated lipocalin; Cr, creatinine; KIM-1, kidney injury molecule 1; TIMP-2, tissue inhibitor of metalloproteinase-2; IGFBP7, insulin-like growth factor-binding protein 7.