Skip to main content
. Author manuscript; available in PMC: 2020 Dec 1.
Published in final edited form as: Ann Plast Surg. 2019 Dec;83(6):e15–e19. doi: 10.1097/SAP.0000000000001965

Table 3.

Multivariate logistic regression model predicting breast reconstruction. n = 12,036.

Variable OR 95% CI p
Age > median (61 years) .318 .277 – .365 < .0001
Race
 White (***) *** *** ***
 Black .778 .636 – .948 .0137
 Other .502 1.061 – 2.563 .0255
Primary payer
 Private (***) *** *** ***
 Medicaid .261 .223 – .305 < .0001
 Medicare .457 .382 – .544 < .0001
 Uninsured .205 .126 – .317 < .0001
 Tricare/VA 1.104 .741 – 1.635 .6251
 Unknown .363 .163 – .721 .0068
AJCC pathologic stage
 0 (***) ***
 I .644 .562 – .739 < .0001
 II .429 .372 – .494 < .0001
 III .206 .166 – .255 < .0001
 IV .054 .027 – .096 < .0001
 Unknown .312 .201 – .471 < .0001
Radiation used .767 .656 – .895 .0008
Appalachian status .540 .478 – .610 < .0001

AJCC, American Joint Committee on Cancer;

***

, referent category.