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. Author manuscript; available in PMC: 2021 Sep 12.
Published in final edited form as: Ann Surg Oncol. 2019 Dec 6;27(6):1877–1888. doi: 10.1245/s10434-019-08073-5

Table 9.

Penalized Logistic Regression Model for Odds of Post-operative Complication, by Obesity Status (Reference, Non-obese)

Complication OR (95 % CI) P
Breast Complication
 Total Flap Loss 11.21 (0.58–2143.39) 0.12
 Partial Flap Loss 0.87 (0.20– 3.34) 0.84
 Free-Flap Necrosis 0.82 (0.05 – 7.79) 0.87
 Fat Necrosis 0.77 (0.43 – 1.35) 0.36
 Mastectomy Skin-Flap Necrosis 2.87 (1.65 – 5.06) < 0.01*
 Hematoma 0.74 (0.31 – 1.67) 0.48
 Seroma 0.98 (0.27– 3.26) 0.98
 Major Infection 1.38 (0.31 – 6.61) 0.67
 Minor Infection (Cellulitis) 1.19 (0.35 – 3.83) 0.77
 Delayed Wound Healing 1.00 (0.23 – 3.87) 0.99
Donor-Site Complication
 Delayed Wound Healing 1.41 (0.55 – 3.61) 0.47
 Wound Dehiscence 5.53 (1.33 – 32.28) 0.02*
 Infection 1.40 (0.36 – 5.06) 0.61
 Seroma 1.22 (0.25 – 5.94) 0.80
 Abdominal Hernia or Bulge 1.01 (0.41 – 2.36) 0.99

OR, odds ratio; CI, confidence interval

*

Statistically significant (p < 0.05).

Each model included the following covariates: age at surgery, timing of reconstruction (immediate v. delayed), flap type (msTRAM v. perforator), laterality (unilateral v. bilateral), neoadjuvant chemotherapy, history of smoking, Charlson comorbidity index, and history of pre-operative radiation.