Skip to main content
. 2021 Jul 12;9(7):e3685. doi: 10.1097/GOX.0000000000003685

Table 5.

Multivariable Logistic Regression Model for Pooled Surgical Site Complication Risk

Variable*† Coefficient 95% Wald Confidence Limits P
Upper Limit Lower Limit
Surgical setting (PR versus OR) 0.69 0.38 1.22 0.200
Elixhauser comorbidity index variables
 Chronic pulmonary disease 1.67 1.21 2.30 0.002
 Diabetes 1.64 1.33 2.03 <0.0001
 Obesity 1.53 1.23 1.89 0.000
 Psychological disorders/psychosis 1.64 1.15 2.33 0.007
 Solid tumor 2.60 1.57 4.30 0.000
Region (versus South)
 North central 0.82 0.68 0.98 0.032
 North east 0.85 0.67 1.08 0.173
 West 1.17 0.92 1.51 0.205
Gender (men versus women) 1.32 1.13 1.56 0.001
Smoking 1.36 1.10 1.69 0.004

*Note that the following additional variables were included in the model but were eliminated through a backward term selection method: age, depression, hypertension, hypothyroidism, and neurologic disorders.

†Note that the following Elixhauser comorbidity variables were not analyzed in this model due to insignificance in univariate analysis (P > 0.20) or due to counts < 5: AIDS, chronic blood loss anemia, congestive heart failure, coagulopathy, depression, liver disease, lymphoma, fluid and electrolyte disorders, metastatic cancer, paralysis, peripheral vascular disease, pulmonary circulation disease, renal failure, valvular disease, and weight loss. Rural (versus urban) residence and insurance type were also nonsignificant.