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Table 3 Logistic regression analyses on clinical outcome for preoperative Se levels

From: Preoperative serum selenium predicts acute kidney injury after adult cardiac surgery

 

Univariate analyses

Multivariate analyses

OR (95% CI)

P value

OR (95% CI)

P value

Age (years)

1.01 (0.99–1.03)

0.073

1.00 (0.99–1.01)

0.783

Female sex, n (%)

1.76 (1.19–2.60)

0.005

1.26 (0.76–2.10)

0.375

BMI (kg/m2)

1.07 (1.03–1.12)

0.001

1.06 (1.00-1.11)

0.036

Smoking, n (%)

0.82 (0.50–1.33)

0.421

  

Hypertension, n (%)

0.95 (0.63–1.41)

0.781

1.22 (0.72–2.05)

0.456

Diabetes, n (%)

1.11 (0.72–1.71)

0.629

1.11 (0.63–1.95)

0.723

Chronic heart failure, n (%)

6.93 (4.48–10.71)

< 0.001

4.30 (2.51–7.37)

< 0.001

Atrial fibrillation, n (%)

7.90 (4.17–14.94)

< 0.001

5.05 (2.35–10.85)

< 0.001

COPD, n (%)

1.49 (0.40–5.64)

0.555

  

CABG vs. Valve surgery

1.07 (0.72–1.58)

0.750

  

Anesthesia time (min)

1.00 (0.99–1.01)

0.653

  

CPB time (min)

1.02 (1.01–1.03)

< 0.001

1.01 (1.00-1.02)

0.009

Serum creatinine (µmol/L)

1.03 (1.01–1.05)

0.003

1.04 (1.01–1.06)

0.008

Hemoglobin (g/dL)

0.93 (0.91–0.96)

< 0.001

0.93 (0.90–0.96)

< 0.001

Albumin (g/dL)

0.60 (0.48–0.75)

< 0.001

0.65 (0.49–0.85)

0.002

Preoperative Se (µg/L)

    

Q1

Ref

 

Ref

 

Q2

0.37 (0.21–0.64)

< 0.001

0.20 (0.10–0.40)

< 0.001

Q3

0.30 (0.17–0.52)

< 0.001

0.22 (0.11–0.43)

< 0.001

Q4

0.39 (0.22–0.67)

< 0.001

0.17 (0.08–0.34)

< 0.001

P for trend*

 

< 0.001

 

< 0.001

Per 1 unit

0.94 (0.91–0.97)

< 0.001

0.91 (0.87–0.99)

< 0.001

  1. *P for trend: calculated by treating quartiles as a continuous variable in each model