In:
Annals of Plastic Surgery, Ovid Technologies (Wolters Kluwer Health), Vol. 88, No. 5 ( 2022-6), p. S481-S484
Abstract:
Minority patients and those from low socioeconomic backgrounds are faced with barriers to care regarding breast reconstruction. With this study, we seek to elucidate variances in demographics to determine predictors of complications in implant-based breast reconstruction. Methods Patients who underwent breast reconstruction with either direct to implant or immediate expander reconstruction by 1 surgeon were identified using the preoperative Breast-Q. Current income statistics available from the US Census Bureau by self-reported zip code were used to determine the median household income (MHI) to stratify differing socioeconomic backgrounds. Demographics were compared with body mass index, comorbidities, overall rate of postoperative complications, rate of implant infection, and type of reconstruction. Results Two hundred ninety-five patients met inclusion criteria. Overall rate of complications and rate of breast implant infection was higher for MHI of less than $50,000 compared with greater than $50,000 ( P = 0.043 overall complications 40.20% vs 28.8%) ( P = 0.04 implant infection 14.4% vs 7.1%). African American patients had higher body mass index ( P = 〈 0.001), rates of HTN ( P = 〈 0.001), and diabetes ( P = 0.001), and were more likely to have a lower income ( P = 〈 0.001). There was, however, no difference in overall complications ( P = 0.26), implant infection rate ( P = 0.994), or capsular contracture (0.367) based on race. There was no difference in rate of comorbidities between low and high socioeconomic areas. Conclusion This cohort demonstrates a higher rate of overall complications and infection in patients with a lower MHI and no difference based on race despite having higher risk factors for complications. Socioeconomic status is a multifaceted barrier to care that must be addressed in the perioperative period to decrease breast implant associated complications.
Type of Medium:
Online Resource
ISSN:
1536-3708
,
0148-7043
DOI:
10.1097/SAP.0000000000003124
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2022
detail.hit.zdb_id:
2063013-X
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