Background: Breast cancer incidence in women aged 70 years is steadily increasing, and many are choosing to undergo postmastectomy breast reconstruction (PMBR). We aimed to identify factors associated with PMBR, describe reconstruction types, and assess postoperative mortality and readmission rates in women 70 years of age. Methods: The National Cancer Database (NCDB) was examined between 2004 and 2015 for women aged 70 years with breast cancer who underwent mastectomy. Statistical analysis was performed by c 2 tests and multivariate logistic regression to select the best models for predicting PMBR and if patients underwent contralateral prophylactic mastectomy (CPM) with reconstruction. Results: A total 73,973 patients met inclusion criteria and 4,552 (6.1%) underwent PMBR, of which 25% had a CPM. 48% had implant reconstruction, 36.2% underwent autologous reconstruction, and 15.1% received combination reconstruction. PMBR was more likely to be performed in patients who were White, had fewer comorbidities, were treated in the Northeast metropolitan areas, and with lower tumor stage (P < .001). CPM was more likely to be performed in patients who were White and treated in community hospitals in rural areas in the South and West. (P < .05). Although 30-day readmission rates were higher in PMBR patients (3.5% vs 2.8%, P < .001), 30 and 90-day mortality rates were lower: 0.03 and 0.2% vs 0.3 and 0.9% (P < .001).
Conclusion:Although it is understandable that intrinsic tumor characteristics influence the role of PMBR, further research and interventions should be aimed to eliminate the differences that are seen in patient race and geographic location. Readmission and postop mortality rates are overall low and comparable to that of younger patients.
To understand the relationship between perceived discrimination, allostatic load, and all-cause mortality; and to determine whether allostatic load is a mediator in the relationship between perceived discrimination and all-cause mortality among an older adult US population.Methods: Data from the was analyzed. Cox proportional hazard models were used to investigate the relationship between all-cause mortality and perceived discrimination, and all-cause mortality and allostatic load. Linear regression models were used to investigate the relationship between perceived discrimination and allostatic load. A mediation model with perceived discrimination and allostatic loads as independent variables was used to determine the association with all-cause mortality.Results: There were 5062 adults over the age of 50 included in the analysis. The relationship between perceived discrimination and allostatic load was statistically significant (b:0.14, [95%CI 0.10,0.19]; p < 0.001). The relationship between perceived discrimination and all-cause mortality was statistically significant (HR: 1.12, [95%CI 1.03,1.22]; p = 0.01). The relationship between allostatic load and all-cause mortality was statistically significant (HR: 1.11, [95%CI 1.08,1.13]; p < 0.001). The mediation model resulted in a decrease in hazard ratio and loss of statistical significance for perceived discrimination (HR: 1.09, [95%CI 0.98,1.21]; p = 0.13) when allostatic load (HR: 1.17, [95%CI 1.10,1.24]; p < 0.001) was added to the Cox regression model, indicating full mediation.Conclusions: Allostatic load fully mediates the relationship between perceived discrimination and all-cause mortality. Understanding the role of allostatic load in this relationship provides an additional implication for screening and indications for tighter control of the modifiable components of allostatic load by healthcare providers, especially among individuals who experience discrimination.
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