Page 23 - Read Online
P. 23

Table 5: Body mass index as a predictor of outcomes following prosthetic breast reconstruction, multivariate
           analysis
           BMI category      Surgical Complications        Medical Complications            Reoperation
                         OR         95% CI       P      OR       95% CI       P     OR       95% CI        P
           < 18.5        0.53    0.07    3.93   0.54   0.46    0.06   3.36   0.44   0.57   0.26   1.33    0.25
           18.5‑29.99         Reference                      Reference                   Reference
           30‑34.99     1.348    0.812  2.238   0.249  2.752  1.289  5.873  0.009*  0.983  0.585  1.653   0.949
           35‑39.99     2.032    1.113   3.71  0.021*  2.13   0.746  6.082   0.158  2.018  1.154  3.528  0.014*
           > 40         3.308    1.709  6.403  < 0.001*  0.591  0.075  4.654  0.617  1.893  0.914  3.921  0.086
           *Denotes significant value, P < 0.05. BMI: body mass index; OR: odds ratio; CI: confidence interval
           Table 6: Body mass index as a predictor of outcomes following autologous breast reconstruction, multivariate
           analysis
           BMI              Surgical Complications          Medical Complications            Reoperation
           category
                        OR        95% CI         P      OR        95% CI        P     OR       95% CI       P
           < 18.5      2.48    0.85     6.88    0.07   0.66    0.23    2.33    0.44   0.72   0.17    3.14  0.68
           18.5‑29.99        Reference                       Reference                     Reference
           30‑34.99    1.808   1.127    2.9    0.014*  1.203  0.787   1.839   0.394  1.319   0.835  2.082  0.235
           35‑39.99    3.357   1.902   5.925  < 0.001*  1.699  0.974  2.964   0.062  2.237   1.269  3.943  0.005*
           > 40        5.552   2.748   11.218  < 0.001*  1.857  0.868  3.97   0.111  4.144   2.038  8.427 < 0.001*
           *Denotes significant value, P < 0.05. BMI: body mass index; OR: odds ratio; CI: confidence interval

           increased, although differences were more exaggerated in   all forms of breast reconstruction are safe in underweight
           the autologous reconstruction group [Tables 3 and 4]. This   patients. Additionally, there does not appear to be a role for
           finding was confirmed on both univariate and multivariate   the “obesity paradox” in breast reconstruction.
           analysis.
                                                               In conclusion, this study represents the only review to date
           Multiple medical complications increased as patient weight   of post-mastectomy breast reconstruction, using a weight-
           increased, in both reconstructive groups. Specifically,   stratification system. Increasing obesity is associated with
           bleeding  requiring  transfusion  and DVT  were  elevated in   significantly increased risk of adverse events (AE’s) in the
           the prosthetic group; and PE, acute renal failure, and sepsis/  first 30 days following breast reconstruction. The added risks
           septic  shock were  elevated  in  the  autologous group.  On   translate into higher rates of overall morbidity, regardless of
           multivariate analysis, while medical complication rates were   reconstructive  modality.  On  multivariable  analysis  of over
           elevated, data only reached significance for the prosthetic   4,600 patients, there were no significant differences in the
           in moderate obesity group (OR 2.752, P = 0.009). Finally,   rates of adverse events between underweight patients (BMI
           reoperation rates were significantly elevated in both   < 18.5) and their reference-weight counterparts, in spite of
           stratified obesity cohorts, with a stronger relationship in the   a significant increase in surgical and medical complication
           autologous reconstruction group.                    rates in underweight patients on univariate analysis. Based
                                                               on the overall analysis, we conclude that while obese patients
           Previous literature has suggested that underweight patients   are at greater risk when undergoing breast reconstruction,
           suffer from elevated rates of surgical complications, and   with appropriate counseling breast reconstruction should
           specific catastrophic medical complications (including   continue to be offered to these patients.
           death). While we found  elevated rates of surgical
           complications in the autologous reconstruction group and   Financial support and sponsorship
           medical complications in  the  prosthetic  reconstruction   Nil.
           group, we  otherwise  found a  decreased  incidence of
           surgical and medical complications, reoperation and death   Conficts of interest
           in underweight patients. However, none of these findings   There are no conflicts of interest.
           were significant on multivariate analysis. These findings
           suggest that, as with previous studies, patient groups may
           be  too small to yield significant  differences.  Given the   REFERENCES
           relatively  small size  of underweight  breast  reconstruction   1.   World Health Organization. Fact sheet No 311: Obesity and overweight.
           patients captured in NSQIP, it is not possible to discern   Geneva: World Health Organization. 2012.
           between patients with lean muscle mass, versus those with   2.   Ogden  CL,  Carroll  MD,  Kit  BK,  Flegal  KM.  Prevalence  of  obesity  in  the
           chronic disease and multiple comorbidities. As the dataset   United States, 2009-2010. NCHS Data Brief 2012;(82):1-8.
           continues to grow,  it  will be  possible to separate these   3.   Russell GV, Pierce CW, Nunley L. Financial implications of obesity. Orthop Clin
                                                                  North Am 2011;42:123-7.
           groups, thus increasing the value of data extracted from   4.   Arterburn,  DE,  Maciejewski  ML Tsevat  J.  Impact  of  morbid  obesity  on
           the dataset. However, at this time, our findings suggest that   medical expenditures in adults. Int J Obes (Lond) 2005;29:334-9.
           Plast Aesthet Res || Vol 3 || Issue 1  || Jan 15, 2016                                              13
   18   19   20   21   22   23   24   25   26   27   28