Results of logistic regression model to predict postoperative pulmonary complications (PPC) and assigned points based on regression coefficient to develop the PPC scoring index.

A multivariable analysis using a logistic regression model was conducted with backward step-wise selection with p<0.05 for inclusion of variables and p>0.10 for removal of variables from all variables used for Univariable analysis and only significant variables in a multivariable analysis were indicated in the table.
PPC, postoperative pulmonary complications; OR, odds ratio; CI, confidence interval; CHF, congestive heart failure; ASA, American Society of Anesthesiologists.
Hosmer-Lemeshow test, χ2 = 7.653, p = 0.468.
Results of logistic regression model to predict postoperative pulmonary complications (PPC) and assigned points based on regression coefficient to develop the PPC scoring index.