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

Table 3.

Multivariable Logistic Regression Model for Pooled Major Medical Complication Risk

Variable*† Coefficient 95% Wald Confidence Limits P
Upper Limit Lower Limit
Surgical setting (PR versus OR) 0.84 0.53 1.33 0.450
Elixhauser comorbidity index variables
 Anemia 3.33 2.46 4.51 <0.0001
 Rheumatoid arthritis/collagen vascular disease 2.21 1.62 3.02 <0.0001
 Chronic pulmonary disease 2.39 1.93 2.98 <0.0001
 Diabetes 2.16 1.85 2.52 <0.0001
 Drug abuse 2.08 1.19 3.64 0.010
 Hypertension 1.80 1.56 2.08 <0.0001
 Neurologic disorders 2.16 1.46 3.19 0.000
 Psychological disorders/psychosis 1.42 1.05 1.93 0.024
 Hypothyroidism 1.46 1.10 1.92 0.008
Sex (men versus women) 1.42 1.24 1.62 <0.0001
Age category (versus 18–39)
 40–49 1.95 1.36 2.81 <0.0001
 50–59 3.25 2.32 4.56 <0.0001
 60+ 4.81 3.40 6.81 <0.0001

*Note that the following additional variables were included in the model but were eliminated through a backward term selection method: alcohol abuse, obesity, solid tumor without metastasis, and smoking. Rural (versus urban) residence, region, and insurance type were also nonsignificant.

†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.