Use of Absorbable Dermal Staples in Bilateral Breast Reduction Surgery: Effects on Operative Times, Surgical Outcomes, and Procedure Charges.

BACKGROUND: Use of the absorbable deep dermal stapler in wound closure has become more common in plastic surgery because of its possible reduction in operative times and subsequent decrease in operative room costs. In this study, we examine the effects of this stapler on operative times and postoperative complications in bilateral reduction mammaplasties. METHODS: A retrospective, observational cohort study was conducted via electronic chart review on patients who underwent bilateral reduction mammaplasties. Patients were stratified by wound closure method. One group was closed with sutures only, and in the other group, deep dermal staples were used during closure of the inframammary fold incision. Incidences of patient comorbidities and postoperative complications were compared. In addition, a financial cost analysis was performed. RESULTS: The final patient cohort included 62 patients. Operative time was reduced by an average of 21.8 minutes when using deep dermal staples during closure, compared with when closing solely with sutures (P = 0.032). When controlling for mass of breast tissue removed and type of pedicle, deep dermal staple closure still predicted a reduction of 26.5 (SE, 9.9) minutes in operative time (P = 0.010). Postoperative complications were not affected by wound closure method (odds ratio, 4.36; 95% confidence interval, 0.91-31.7, P = 0.087). Though not statistically significant, financial charge was decreased with usage of deep dermal staples (P = 0.34). CONCLUSIONS: Use of absorbable deep dermal staples produces a significant decrease in operative time for reduction mammaplasties with no increase in postoperative complication rates.

When a Good Flap Turns Bad: A Temporal Predictive Model for Free Flap Complications.

BACKGROUND: Microsurgical cases are complex plastic surgery procedures with a significant risk of acute postoperative complications. In this study, we use a large-scale database to investigate the temporal progression of complications after microsurgical procedures and the risk imparted by acute postoperative complications on subsequent reconstructive outcomes. METHODS: Microsurgery cases were extracted from the National Surgical Quality Improvement Program database by Current Procedural Terminology codes. Postoperative complications were collected for 30 days after surgery and stratified into four temporal periods (postoperative days [PODs] 0-6, 7-13, 14-20, 21-30). Postoperative complication occurrences were incorporated into a weighted multivariate logistic regression model to identify significant predictors of adverse outcomes (p < 0.05). Separately, a regression model was calculated for the time between index operation and reoperation and additional complications. RESULTS: The final cohort comprised 19,517 patients, 6,140 (31.5%) of which experienced at least one complication in the first 30 days after surgery. The occurrence of prior complications in the postoperative period was a significant predictor of future adverse outcomes following the initial week after surgery (p < 0.001). Upon predictive analysis, overall model performance was highest in PODs 7 to 13 (71.1% accuracy and the area under a receiver operating characteristic curve 0.684); 2,578 (13.2%) patients underwent at least one reoperation within the first 2 weeks after surgery. The indication for reoperation (p < 0.001) and number of days since surgery (p = 0.0038) were significant predictors of future complications after reoperation. CONCLUSION: Prior occurrence of complications in an earlier postoperative week, as well as timing and nature of reoperation, were shown to be significant predictors of future complications.

Characterizing differential risk effects of body mass index for Asian patients in the United States undergoing breast reconstruction.

BACKGROUND: Asian patient populations continue to be underrepresented in both plastic surgery research and rates of breast reconstruction. Better elucidation of reconstruction in Asian women may help guide patient-directed counseling. This study investigates the differential effect of body mass index (BMI), a well-known risk factor, for Asian patients in outcomes after breast reconstruction. METHODS: Asian and White breast reconstruction patients were identified by CPT code in the National Surgical Quality Improvement Program. Within each cohort, BMI was converted into percentile ranks for standardized comparisons between cohorts. The effects of BMI on occurrence of complications for Asian and White patients were then quantified with multivariate logistic regression models. RESULTS: The final cohort included 86,514 White patients and 4813 Asian patients, of which 9876 (11%) and 424 (8.8%) experienced at least one postoperative complication. The average BMI of White patients who experienced complications was 29.2 ± 6.3 kg/m2, a higher average than that of Asian patients, 25.6 ± 4.8 kg/m2. Higher BMI percentile was a significant predictor of increased risk of complications in White patients (OR: 1.005, 95% CI: 1.004-1.006, p < 0.001). In Asian patients, however, BMI percentile was not a significant predictor of postoperative complications (OR: 1.001, 95% CI: 0.997-1.005, p = 0.62). BMI percentile significantly predicted risk of unplanned reoperation in both cohorts (p < 0.001 and p = 0.029, respectively). CONCLUSIONS: Whereas BMI is a direct predictor of complications in White populations, this effect is held more inconsistently for Asian patients. Such trends can guide more informed interpretations of BMI in current risk algorithms.

Disaggregation of Asian American, Native Hawaiian, and Pacific Islander populations in postmastectomy breast reconstruction.

PURPOSE: Asian American, Native Hawaiian, and Pacific Islander (AANHPI) patient populations are often defined as one monolithic group in medical research despite cultural, socioeconomic, and clinical heterogeneity. Although the general AANHPI population is underrepresented in reception of postmastectomy breast reconstruction, existing literature has not characterized the disaggregation of such rates for AANHPI ethnic subgroups. METHODS: Patients who underwent mastectomy were identified in the 2007 to 2020 registries within the Surveillance, Epidemiology and End Results database. Patients were stratified by race and ethnicity, and additional demographic and oncologic variables were collected. Multivariate binary logistic regression was conducted to assess for reception of postmastectomy immediate breast reconstruction (p < 0.05). RESULTS: Among 33,422 AANHPI patients who underwent mastectomy, South Asian patients were associated with the highest breast reconstruction rates (33%) and Melanesians with the lowest (15%). Overall, AANHPI patients were associated with a lower breast reconstruction rate than non-Hispanic Whites (27% vs. 35%; p < 0.001). This difference increased from 6.4% in 2007 to 10% in 2020. After controlling for demographic and oncologic covariates, all AANHPI ethnic subgroups predicted a lower likelihood of breast reconstruction than non-Hispanic Whites (p < 0.001). Odds ratios for reconstruction ranged from 0.17 [95% confidence interval (95% CI), 0.11-0.27] for Melanesian patients to 0.45 (95% CI, 0.42-0.48) for South Asian patients. CONCLUSIONS: Disparities in the receipt of immediate breast reconstruction exist within the AANHPI patient population in the United States. This analysis supported the need for disaggregation in plastic surgery research for improved knowledge and targeted interventions.

Five-item modified frailty index does not outperform diabetes and hypertension alone in prediction of complications after breast reconstruction.

PURPOSE: Existing literature has emphasized the utility of the five-item modified frailty index (mFI-5) in predicting postoperative outcomes after surgical procedures. However, in breast reconstruction, a primarily elective post-oncologic procedure for otherwise relatively healthy patients, several components of the index may be sparse and not strongly contribute to predictive value. METHODS: Breast reconstruction cases were identified in the 2012-2022 National Surgical Quality Improvement Program. Three metrics were compared in this cohort: 1) the mFI-5, 2) a simplified two-item index comprising diabetes and/or hypertension, and 3) American Society of Anesthesiologists (ASA) class. Each metric was incorporated into three multivariate logistic regression models for occurrence of at least one postoperative complication. Predictive performance among metrics was compared over fifty iterations (p < 0.05). Performance was compared between autologous and implant-based modalities in a supplementary analysis. RESULTS: 134,983 breast reconstruction cases were identified in the final cohort. In multivariate regression, both MFI and the two-item index of diabetes and hypertension were significant predictors of postoperative complications (p < 0.001). The mFI-5 (average AUC: 0.6106) and two-item index (average AUC: 0.6105) performed without significant difference (p = 0.93). Discriminatory performance of ASA class (average AUC: 0.6115), was not significantly different from the other metrics (p > 0.05). CONCLUSIONS: In the context of a population of mainly elective breast reconstruction procedures, the five-item modified frailty index does not outperform an index of diabetes and hypertension alone. Such findings may motivate the selection of other variables that may be more useful for prediction of postoperative outcomes.

Impact of Sociodemographic and Hospital Factors on Inpatient Bilateral Reduction Mammaplasty: A National Inpatient Sample Analysis.

Background: Although reduction mammaplasty remains a common procedure in plastic surgery, its interaction with sociodemographic and economic disparities has remained relatively uncharacterized on a nationwide scale. Methods: Patients who underwent reduction mammaplasty were identified within the 2016-2018 National Inpatient Sample databases. In addition to clinical comorbidities, sociodemographic characteristics, hospital-level variables, and postoperative outcomes of each patient were collected for analysis. Statistical analyses, including univariate comparison and multivariate logistic regression, were applied to the cohort to determine significant predictors of adverse outcomes, described as extended length of stay, higher financial cost, and postoperative complications. Results: The final patient cohort included 414 patients who underwent inpatient reduction mammaplasty. The average age was 45.2 ±â€…14.5 years. The average length of stay was 1.6 ±â€…1.5 days, and the average hospital charge was $53,873.81 ± $36,014.50. Sixty (14.5%) patients experienced at least one postoperative complication. Black race and treatment within a nonmetropolitan or rural county predicted postoperative complications (P < 0.01). Black race, lower relative income, and concurrent abdominal contouring procedures also predicted occurrence of extended length of stay (P < 0.01). Hospital factors, including larger bed capacity and for-profit ownership, predicted high hospital charges (P < 0.05). Severity of comorbidities, measured by a clinical index, also predicted all three outcomes (P < 0.001). Conclusion: In addition to well-described clinical variables, multiple sociodemographic and economic disparities affect outcomes in inpatient reduction mammaplasty.

Racial and ethnic disparities in reception of muscle flap closure during oncologic spinal surgery.

BACKGROUND: Racial disparities persist in surgical outcomes after spine surgery for primary and metastatic cancers. Muscle flap closure of spinal defects after oncologic resection has been shown to reduce wound complication rate with favorable cost-effectiveness. It is currently unknown whether racial disparities may affect the reception of this treatment. METHODS: Spinal surgery procedures for tumor resection and subsequent reconstruction were identified in the 2011-2022 National Surgical Quality Improvement Program databases. Cases were propensity score matched for covariates like age, comorbidities, number of vertebral levels reconstructed, and length of stay to isolate the predictive impact of race on reception of muscle flap closure (p < 0.05). RESULTS: A total of 9467 patients who underwent oncologic spine surgery and had known race and ethnicity were identified in the final cohort. Two hundred thirty-two (2.5%) cases included muscle flap closure during the index surgery. After matching (n = 4196), minority race/ethnicity was associated with lower rates of muscle flap closure (2.2%) than non-Hispanic White race/ethnicity (3.8%) (p = 0.0037). Upon weighted univariate logistic regression, minority racial and ethnic identification also predicted lower likelihood of muscle flap closure (OR: 0.57, 95% CI: 0.52-0.63, p < 0.001). Among patients who received muscle flap closure, the overall rate of all major or minor thirty-day postoperative complications was not different depending on race and ethnicity (p > 0.05). CONCLUSION: There are evident racial disparities in the reception of muscle flap closure after oncologic spine surgery. Further work may investigate the role of intersecting socioeconomic factors like insurance status and hospital characteristics. LAY SUMMARY: Muscle flap closure is a surgical technique within plastic surgery that has been associated with lower rates of complications after spine surgery to remove tumors. Our study shows that minority racial and ethnic groups are less likely on average to receive muscle flap closure.

COVID-19 and postoperative complications after plastic surgery procedures: More than just hypercoagulability.

BACKGROUND: Although plastic surgery procedures generally demonstrate less than 2% incidence of venous thromboembolism (VTE) outcomes, the post-COVID era data remain elusive. This study sought to elucidate the relationship between COVID-19 infection and the risk of VTE outcomes across plastic surgery procedures. METHODS: Plastic surgery procedures were identified in the 2012-2022 National Surgical Quality Improvement Program databases. The outcomes of interest were the postoperative occurrence of VTE, defined as deep vein thrombosis (DVT) or pulmonary embolism (PE), and postoperative complication. Propensity score matching was used to 1) compare overall rates of VTE between the pre-pandemic era and pandemic era cohorts and 2) compare rates of VTE and overall postoperative complications in cases with and without COVID-19 diagnosis in the years 2021-2022 (p < 0.05). RESULTS: Overall, 269,006 plastic surgery cases were identified, comprising general breast (76%) and trunk (9.4%) procedures. Non-breast free tissue transfer cases were associated with the highest rates of DVT (1.3%) and trunk procedures with the highest rates of PE (0.7%). After propensity score matching, the overall rate of VTE after the onset of the COVID-19 pandemic was not significantly different from the pre-pandemic era (p = 0.40). In a separately matched cohort, COVID-19 diagnosis did not significantly predict the risk for VTE (p = 0.48) but did significantly predict the risk for overall postoperative complications (p < 0.001). CONCLUSIONS: Although COVID-19 diagnosis itself did not predict the risk of VTE in matched analysis, it significantly predicted the overall postoperative complications. Future studies may further investigate the effects of COVID-19 infection over longer periods of follow-up.

Existing Psychiatric Diagnoses Among Breast Cancer Patients Interact with Outcomes After Autologous and Implant-Based Bilateral Breast Reconstruction: A Propensity Score Matched Analysis.

BACKGROUND: Breast reconstruction is an integral postoncologic procedure that has been associated with improved mental health and psychological outcomes. The possible interaction between existing psychiatric diagnoses hospital courses and postoperative complications warrants further exploration. METHODS: Bilateral breast reconstruction patients were identified from the 2016 to 2018 Healthcare Cost and Utilization Project-National Inpatient Sample (HCUP - NIS). Number and type of psychiatric diagnoses within the cohort were then evaluated using a host of ICD-10 codes. A propensity score analysis was applied to control for confounding variables such as demographics, existing comorbidities, and hospital characteristics. A binary logistic regression model was then used to identify the prediction value of psychiatric diagnosis and its interaction with modality of reconstruction for objective outcomes like length of hospital stay, treatment charge, and postoperative complications. RESULTS: A total of 10,114 patients were identified as the final cohort of breast reconstruction patients. 2621 (25.9%) patients possessed an average of 1.4 ± 0.6 existing psychiatric diagnoses. Presence of at least 1 psychiatric diagnosis was a strong predictor alone for extended length of stay (OR: 1.34, 95% CI: 1.28-1.41, P < .001) and occurrence of postoperative complications (OR: 1.31, 95% CI: 1.21-1.41, P < .001). Psychiatric diagnosis displayed a significant interaction with modality of breast reconstruction and conferred a lower increase in risk of extended length of stay in autologous reconstruction when compared to implant-based reconstruction (OR: 0.80, 95% CI: 0.72-0.89, P < .001). CONCLUSION: Existing psychiatric diagnoses were shown to strongly predict and modulate risk of adverse postoperative outcomes depending on modality of reconstruction.

Predictors of extended length of stay following outpatient reduction mammaplasty.

PURPOSE: Reduction mammaplasty has transitioned into a largely outpatient procedure in the United States. Following planned outpatient procedures, patients may still be admitted for additional inpatient care, incurring clinical and economic burden. Prior literature has not explored the preoperative and perioperative determinants of extended lengths of stay (LOS) after breast reduction surgery. METHODS: Patients who underwent scheduled outpatient reduction mammaplasty were identified via current procedural terminology code from the 2013 to 2021 National Surgical Quality Improvement Program databases. The primary outcome was extended LOS, defined as an LOS greater than 1 day. The most significant predictor variables were identified through bivariate association, and a binary logistic regression model was used to characterize predictive associations (p < 0.05). RESULTS: In this study, 33,924 patients were included in the final cohort of planned outpatient reduction mammaplasty cases. Among them 325 (1.0%) patients had extended LOS. Concurrent liposuction, body contouring, and increased operative time were the most significant predictors of extended LOS (p < 0.001), followed by older age, higher body mass index, bleeding disorder, history of diabetes, higher American Society of Anesthesiologists class, and White race (p < 0.05). When adjusted for other confounding variables, extended LOS was also a significant predictor of increased risk of postoperative complications after discharge (OR: 1.85, 95% confidence intervals: 1.27-2.69, p = 0.0012). CONCLUSION: Extended LOS after planned outpatient reduction mammaplasty is associated with specific comorbidities, and is a significant predictor of postoperative complications following hospital discharge. DATA AVAILABILITY STATEMENT: The data that support the findings of this study are publicly available.

Disparities in pathways to reduction mammaplasty: A single institution review of 425 women with macromastia.

BACKGROUND: Reduction mammaplasty improves the quality of life by providing functional and aesthetic benefits to women with macromastia. This study contributes to the existing literature on socioeconomic and clinical barriers to referral for plastic surgery procedures by focusing specifically on reduction mammaplasty. METHODS: Patients with macromastia were identified via a chart review in a single institution from 2021-2022. The treatment pathway for each patient was characterized by reception of referral, completion of plastic surgery consultation, and eventual reception of surgery. After controlling for clinical covariates, multivariate logistic regression was applied to quantify the independent impact of race, insurance, and language status on the completion of surgery (p < 0.05). RESULTS: The final patient cohort included 425 women with macromastia. Among the 151 patients who were first seen by a primary care physician, 64 (42%) completed an initial plastic surgery consultation. Among all patients, 160 (38%) eventually underwent reduction mammaplasty. Multivariate regression predictions indicated a lower likelihood of completing breast reduction surgery in patients with current smoking history (OR: 0.08, 95% CI: 0.01-0.59) and higher body mass index (BMI) (OR: 0.94, 95% CI: 0.90-0.97) (p < 0.05). Minority race and ethnicity, private insurance status, and primary language status were not significant predictors of this outcome (p > 0.05). CONCLUSIONS: In this study, the socioeconomic variables were not independent predictors of breast reduction surgery completion. However, the association of minority race and ethnicity and nonprivate insurance status with the most common reasons for breast reduction deferral suggest an indirect influence of socioeconomic status on the treatment pathway.

Applying unsupervised machine learning approaches to characterize autologous breast reconstruction patient subgroups: an NSQIP analysis of 14,274 patients.

BACKGROUND: Autologous breast reconstruction is composed of diverse techniques and results in a variety of outcome trajectories. We propose employing an unsupervised machine learning method to characterize such heterogeneous patterns in large-scale datasets. METHODS: A retrospective cohort study of autologous breast reconstruction patients was conducted through the National Surgical Quality Improvement Program database. Patient characteristics, intraoperative variables, and occurrences of acute postoperative complications were collected. The cohort was classified into patient subgroups via the K-means clustering algorithm, a similarity-based unsupervised learning approach. The characteristics of each cluster were compared for differences from the complementary sample (p < 2 ×10-4) and validated with a test set. RESULTS: A total of 14,274 female patients were included in the final study cohort. Clustering identified seven optimal subgroups, ordered by increasing rate of postoperative complication. Cluster 1 (2027 patients) featured breast reconstruction with free flaps (50%) and latissimus dorsi flaps (40%). In addition to its low rate of complications (14%, p < 2 ×10-4), its patient population was younger and with lower comorbidities when compared with the whole cohort. In the other extreme, cluster 7 (1112 patients) almost exclusively featured breast reconstruction with free flaps (94%) and possessed the highest rates of unplanned reoperations, readmissions, and dehiscence (p < 2 ×10-4). The reoperation profile of cluster 3 was also significantly different from the general cohort and featured lower proportions of vascular repair procedures (p < 8 ×10-4). CONCLUSIONS: This study presents a novel, generalizable application of an unsupervised learning model to organize patient subgroups with associations between comorbidities, modality of breast reconstruction, and postoperative outcomes.

Socioeconomic disparities in reception of limb-sparing surgery versus amputation for lower extremity sarcoma.

BACKGROUND: In lower extremity sarcoma treatment, limb salvage approaches present superior alternatives to amputation due to reduced postoperative morbidity and improved quality of life. This study provides a novel analysis of socioeconomic disparities that may affect reception of limb-sparing surgery. METHODS: Patients with lower extremity bone or soft tissue sarcoma who received either limb-sparing surgery or amputation from 2007 to 2021 were identified in the Surveillance, Epidemiology and End Results (SEER) database. Demographic, socioeconomic, and oncologic variables were collected for each patient. Multivariate binary logistic regression was conducted to assess preoperative demographic and oncologic risk factors for amputation (p < 0.05). RESULTS: A total of 6465 patients were identified in the final cohort, 586 (9.1%) of whom received amputation. After controlling for tumor size, stage, and neoadjuvant therapy administration, non-Hispanic American Indian/Alaskan Native race/ethnicity predicted the highest odds of amputation (OR: 1.78, 95% CI: 1.12-2.85, p = 0.015). Nonmetropolitan residence (OR: 1.69, 95% CI: 1.43-2.00, p < 0.001) also conferred higher risk of amputation compared with residence in a large metropolitan area. Overall, amputation was associated with a higher risk of ten-year cancer-specific mortality (p < 0.001) even when controlled by sociodemographic and clinical characteristics. CONCLUSIONS: There are significant disparities in limb-sparing surgery and amputation rates in lower extremity sarcoma management, even when accounting for differences in baseline oncologic characteristics. Further study into socioeconomic drivers of these trends will allow the development of initiatives that improve disparities in reconstructive outcomes.

Systematic under-ascertainment of anaplastic large cell lymphoma cases in cancer registries: report from a comprehensive cancer center.

INTRODUCTION: Breast implant-associated anaplastic large cell lymphoma (ALCL) has been rapidly rising in the US and around the world, leading to a mandated "black-box" label on all silicone- and saline-filled implants by the Food and Drug Administration (FDA). Because regulatory decisions in the US and around the world have been influenced primarily by risk estimates derived from cancer registries, it is important to determine their validity in identifying cases of ALCL. METHOD: We reviewed all cases of ALCL submitted to the New York State Cancer Registry from a large comprehensive cancer center in New York City from 2007 to 2019. To determine the possibility of misdiagnosis or under-diagnosis of ALCL cases reported to cancer registries, we accessed the sensitivity and specificity of the ICD-O-3 codes 9714 (ALCL) and 9702 (Mature T-cell lymphoma, not otherwise specified [T-NOS]) to identify pathologically-proven ALCL. RESULTS: We reviewed 2286,164 pathology reports from 47,466 unique patients with primary cancers. Twenty-eight cases of histologically-proven ALCL were identified. The sensitivity and specificity of the ICD-O-3 code 9714 (ALCL) were 82% and 100%, respectively. The sensitivity of the combined codes 9714/9702 (ALCL/T-NOS) was 96% and the specificity was 44%. CONCLUSION: Previous epidemiological studies that influenced regulatory decisions by the FDA may have systematically underestimated the risk of ALCL by at least 20%. We encourage updated global risk estimates of breast ALCL using methods that ensure adequate case ascertainment.

Inferior altitudinal visual loss and mask-wearing practices: A case series.

Face mask-wearing practices and their impact on the visual field bear particular importance in the coronavirus disease 2019 (COVID-19) pandemic era. This case series examines 10 participants with no history of ocular impairment or visual field defects who underwent age-corrected visual field testing in both eyes with different types of face masks. Wearing duckbill N95 masks was consistently associated with increased accuracy errors in the inferior altitudinal visual field when compared to wearing surgical masks or no masks. These findings support public health guidance that has previously attributed the risks of falls and accidents to face mask wearing.