Table 3.

Covariates used in Multivariable Logistical Regression.

Surgery Type	PM **, OPS, M, M + R, M + I
Age	Young: <60 Older: >60 **
Race	White **, Black, Asian, Native, Unknown
Pathology	Invasive Breast Cancer Ductal Carcinoma in situ **
Admission Status	Inpatient ** or Outpatient
BMI	Underweight Normal ** OverweightObese
Pregnancy Status	Yes or No **
Smoking Status	Smoker or Non-Smoker **
Smoking Pack Per Day (PPD)	None ** 0–20 PPD 21–50 PPD 50–100 PPD >100 PPD
Steroid Use	Yes or No **
Prior Chemotherapy	Yes or No **
Prior Radiation Therapy	Yes or No **
Peri-Operative ASA Class	1 **, 2, 3, 4, 5
Operative Wound Infection	Yes or No **
Any Operation in Last 30 Days	Yes or No **
Recent Pneumonia	Yes or No **
Diabetic	Non-Diabetic Diabetic on Insulin ** Diabetic on Oral medication
Recent Weight Loss	Yes or No **
PMH of Angina	Yes or No **
PMH of Congestive Heart Failure	Yes or No **
PMH of Renal Failure	Yes or No **
PMH of COPD	Yes or No **
History of Bleeding Disorder	Yes or No **
Operating Time	Less than 1 h ** 1–2 h 2–3 h 3–5 h 5–10 h Over 10 h

* The regression model provides odds ratios compared to a baseline covariate. The asterisks ** is the baseline covariate.