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Increasing abdominal wall thickness predicts complications in abdominally based breast reconstruction: A review of
Lucas M Boehm1, Patrick Hettinger1, John LoGiudice1
1Medical College of Wisconsin, Department of Plastic Surgery, 1155 N. Mayfair Rd. Suite T2600 Milwaukee, Wisconsin 53226 United States.
Background:
Body mass index (BMI) has long been the proxy for patient selection in obese patients presenting for abdominally based breast reconstruction. BMI, however, fails to accurately reflect the distribution of abdominal adipose tissue. This study aims to quantify the effect of abdominal wall thickness on the incidence of post-operative complications and contrast abdominal wall thickness and BMI as predictors of post-operative morbidity.
Methods:
We performed a retrospective review of 106 consecutive patients who underwent abdominally based breast reconstruction. Abdominal wall thickness was quantified using preoperative CT angiograms. Primary outcomes included delayed wound healing (abdomen and/or breast), flap fat necrosis, return to OR in 30 days, infection, and flap loss.
Results:
Patients experiencing delayed abdominal wound healing (n=38), delayed breast wound healing (n=27), and flap fat necrosis (n=24) had significantly thicker abdominal wall measurements (p<0.0015). Of the 24 patients with palpable fat necrosis, 11 required excision. Increasing abdominal wall thickness significantly increased the odds of delayed abdominal wound healing (p=0.0005), delayed breast wound healing (p=0.0009), flap fat necrosis (p=0.0028), and infection (p=0.0198). Compared to BMI, abdominal wall thickness proved to be a more accurate predictor of delayed breast wound healing, any delayed wound healing, flap fat necrosis, and infection.
Conclusions:
Our data indicate that as abdominal wall thickness increases, so does the risk of postoperative morbidity. Abdominal wall thickness outperformed BMI as a predictor of postoperative morbidity in several areas. This suggests that objective data obtained from preoperative CT scans may allow more accurate, individualized perioperative risk assessment.
