Predictors of Unplanned Reoperation After Gender-affirming Mastectomy: An Analysis of the NSQIP Database

Overview

Journal Plast Reconstr Surg Glob Open

Specialty General Surgery

Date 2024 Apr 25

PMID 38660334

Authors

Bashar Hassan

Claudia Taccheri

Lily Guo

Mona Ascha

John H Pang

Scott Mosser

Fan Liang

Affiliations

Soon will be listed here.

Abstract

Background: Gender-affirming mastectomy (GAM) is a gender-affirmation surgery designed to remove or reduce breast tissue, with or without nipple reconstruction. GAM is the most commonly performed gender-affirmation surgery and risk factors associated with unplanned return to the operating room and reoperation continue to be investigated. This is the largest study of transgender and nonbinary patients undergoing GAM to determine predictors of unplanned reoperation.

Methods: The National Surgical Quality Improvement Program database was queried for patients undergoing GAM from 2012 to 2020. The primary outcome was the incidence of unplanned reoperation within 30 days postoperatively. The secondary outcome was the indication for unplanned reoperation within this period. Descriptive statistics were calculated. Bivariate analysis and multivariate logistic regression were performed to determine significant predictors of reoperation after GAM.

Results: A total of 2316 patients underwent GAM, of whom 2.2% ( = 51) underwent unplanned reoperation of the chest. The most common indication for unplanned reoperation was hematoma ( = 41, 71.9%) followed by abscess ( = 5, 8.8%). Significant predictors of reoperation were corticosteroid use [adjusted odds ratio (aOR) 95% confidence interval (CI) 5.07 (1.07-23.89)] and diabetes [aOR (CI) 10.98 (3.0-40.33)]. Hispanic/Latinx ethnicity [aOR (CI) 3.19 (1.22-8.33)] and corticosteroid use [aOR (CI) 6.81 (1.45-31.98)] were significant predictors of unplanned reoperation for hematoma evacuation after GAM.

Conclusions: Diabetes mellitus and corticosteroid use were associated with unplanned reoperation after GAM. Ethnic correlations remain to be better elucidated as well as the effect of intersectionality. These findings can be used to guide patient selection and surgical decision-making.

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