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Table 3 Univarable and multivariable logistic regression analyses for intraoperative coughing

From: High peak inspiratory pressure may be associated with intraoperative coughing during neurosurgery under general anesthesia without neuromuscular blockade: a retrospective study

 

Before propensity score matching

After propensity score matching

 

Univariable logistic regression analysis

Multivariable logistic regression analysis*

Univariable logistic regression analysis

Multivariable logistic regression analysis

 

OR (95% CI)

P value

OR (95% CI)

P value

OR (95% CI)

P value

OR (95% CI)

P value

Prone position

0.34 (0.12–0.98)

0.045

0.35 (0.12–1.04)

0.058

    

Surgical duration (min)

1.00 (1.00-1.01)

0.033

1.00 (1.00-1.01)

0.192

1.00 (1.00-1.01)

0.047

1.01 (1.0-1.01)

0.025

PIP > 21.6 cmH2O

3.81 (1.83–7.88)

< 0.001

3.21 (1.50–6.88)

0.003

13.81 (1.79-106.56)

0.012

14.22 (1.81-111.73)

0.012

TV/PBW (mL/kg)

1.45 (1.21–1.74)

< 0.001

1.36 (1.11–1.66)

0.003

1.34 (1.10–1.64)

0.004

1.36 (1.09–1.69)

0.006

  1. *The adjusted variables were prone position, surgical duration, PIP > 21.6 cmH2O, and TV/PBW. Nagelkerke R2 and P value of Hosmer-Lemeshow goodness of fit test were 0.096 and 0.811, respectively. The adjusted variables were surgical duration, PIP > 21.6 cmH2O, and TV/PBW. Nagelkerke R2 and P value of Hosmer-Lemeshow goodness of fit test were 0.209 and 0.950, respectively. OR, odds ratio; CI, confidence interval; PIP, peak inspiratory pressure; TV/PBW, tidal volume divided by predicted body weight