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Table 3 The “traditional” risk model of AKI derived through logistic regression with automated backward variable selection

From: Prediction of acute kidney injury risk after cardiac surgery: using a hybrid machine learning algorithm

Characteristics

AORs, 95% CI

β coefficient

Risk score

CARE score

1

Ref

Ref

0

2

2.32 (1.95–2.76)

 − 0.3139

 − 4

3

3.83 (3.02–4.85)

0.2756

3

4

9.64 (6.77–13.73)

1.2220

14

NYHA Functional Class

0

Ref

Ref

0

1

0.85 (0.66–1.10)

 − 0.3184

 − 4

2

1.10 (0.91–1.34)

 − 0.0781

 − 1

3

1.31 (1.08–1.59)

0.0889

1

4

1.76 (1.28–2.43)

0.4427

5

Anemia

No

Ref

Ref

0

Yes

1.60 (1.38–1.86)

0.2124

2

Redo sternotomy

No

Ref

Ref

0

Yes

1.45 (1.13–1.86)

0.2427

3

Smoking status

Never

Ref

Ref

0

Current

1.21 (0.98–1.51)

0.1007

1

Former

1.42 (1.21–1.66)

0.1146

1

BMI

1.04 (1.03–1.06)

0.0434

 

 ≤ 18

 

0.4774

 − 5

19–24

 

Ref

0

25–29

 

0.2387

3

 ≥ 30

 

0.7595

8

  1. CARE score, Cardiac Anesthesia Risk Evaluation (CARE) mortality risk score; NYHA class, New York Heart Association Classification; BMI, body mass index