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Table 2 Logistic regression model for the prediction of postoperative hypoxemia

From: Nomogram for the prediction of postoperative hypoxemia in patients with acute aortic dissection

Variables

Odds ratio

Lower limit of 95% CI

Upper limit of 95% CI

P value

BMI

1.32

1.15

1.54

< 0.001

PF

0.99

0.99

1.00

0.011

Stanford (A as reference)

0.22

0.06

0.66

0.011

WBC

1.21

1.06

1.40

0.008

Age

1.03

0.99

1.08

0.128

HCT

0.89

0.80

0.98

0.016

CBP time

0.99

0.98

1.00

0.031

pH

0.0002

2*10−8

0.74

0.048

  1. Note: The logistic regression model was selected by using stepwise forward selection procedure, AIC was used to decide the inclusion of a variable. The odds ratio was reported for each one unit increase for each variable
  2. Abbreviations: CI confidence interval, WBC white blood cell count, PF PaO2/FiO2, BMI body mass index, CBP cardiopulmonary bypass, HCT hematocrit