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. Author manuscript; available in PMC: 2018 Aug 1.
Published in final edited form as: Am J Surg. 2017 Feb 9;214(2):312–317. doi: 10.1016/j.amjsurg.2017.02.009

Table 3.

Multivariable logistic regression models predicting one-year clinical outcomes following breast reconstruction by self-reported race and ethnicity

Any complication Major complication Reconstruction failure

Variable OR 95% CI P-Value OR 95% CI P-Value OR 95% CI P-Value
White Reference Reference Reference
Black or African-American 0.80 0.53–1.19 .261 0.80 0.51–1.25 .325 0.95 0.46–1.95 .885
Hispanic or Latina 0.52 0.32–0.84 .008 0.53 0.30–0.94 .028 0.41 0.12–1.35 .143
Other* 0.78 0.51–1.18 .234 0.52 0.30–0.89 .018 0.76 0.27–2.17 .613

OR, odds ratio; CI, confidence interval

Adjusted for age, body mass index, annual household income, education, smoking status, procedure type, laterality of reconstruction, prophylactic mastectomy, diabetes, radiation therapy

*

Other category includes Asian, Native American//Alaska Native, Native Hawaiian, or other Pacific Islander