Insta-Grated Plastic Surgery Residencies: 2020 Update.

BACKGROUND: Recent evidence shows accelerating worldwide adoption of social media and suggests a commensurate increase in social media use by integrated plastic surgery residency programs in the United States. Programs nationwide are now making strides to include a longitudinal social media component in their plastic surgery curriculum. OBJECTIVES: The aim of this study was to investigate the use of Instagram by plastic surgery residency programs and to describe trends in adoption, volume, and content. METHODS: Current active Instagram accounts affiliated to integrated plastic surgery residency programs were surveyed to identify date of first post, number of posts, number of followers, number of followings, engagement rate, most-liked posts, and content of posts. All data were collected on May 12, 2020. RESULTS: Sixty-nine out of 81 (85.2%) integrated plastic surgery residency programs had Instagram accounts, totaling 5,544 posts. This represents an absolute increase in program accounts of 392% since 2018. The 100 most-liked posts were categorized as: promotion of the program/individual (46), resident life (32), promotion of plastic surgery (14), and education (8). CONCLUSIONS: Instagram use by plastic surgery residency programs has drastically increased since it was first evaluated in 2018. This trend will continue as we reach near saturation of residency programs with accounts. We remain steadfast in our belief that the advantages of social media use by plastic surgeons and trainees are far outweighed by the potential community-wide impacts of violations of good social media practice on peers, patients, and the general public.

Insta-grated Plastic Surgery Residencies: The Rise of Social Media Use by Trainees and Responsible Guidelines for Use.

BACKGROUND: Ethical guidelines for appropriate use of social media are beginning to be delineated. As social media becomes ingrained in plastic surgery culture, education of residents on appropriate use of social media is increasingly important. Recently, plastic surgery residency programs have begun to utilize social media. OBJECTIVES: This study characterized the trends and content of plastic surgery residency-associated Instagram accounts. METHODS: Active individual residency program Instagram accounts were identified for integrated plastic surgery programs. Metrics for each account were retrieved on September 16, 2017, including date of first post, number of posts, and followers. Individual posts were analyzed for content of post. RESULTS: Fourteen of 67 (21%) integrated plastic surgery programs were found to have active Instagram accounts. There has been an exponential growth of programs adopting Instagram since August 2015. A total of 806 posts were created. Thirty-two (3.97%) posts had intraoperative photos and only one (0.12%) showed a patient image. There were 4466 followers of plastic surgery residency programs. A linear correlation was found between number of posts and number of followers, while there was no correlation of number of followers and time since account start. CONCLUSIONS: Instagram use by plastic surgery integrated programs continues to grow exponentially, and programs are appropriately using the platform. Active use of the resident social media results in increased influence. Resident use of social media has many benefits. We propose social media guidelines for plastic surgery trainees and advocate for continued appropriate use and autoregulation by plastic surgery trainees.

The Top 100 Social Media Influencers in Plastic Surgery on Twitter: Who Should You Be Following?

BACKGROUND: Recent studies demonstrate that board-certified plastic surgeons are underrepresented amongst individuals posting public-directed marketing plastic surgery-related content on Instagram. However, peer-to-peer and education-based social media influence has not been studied. Twitter is a social media platform has been suggested to be useful for educating the masses and connecting with colleagues. OBJECTIVES: The purpose of this study is to identify the top influencers in plastic surgery on Twitter, characterize who they are, and relate their social media influence to academic influence. METHODS: Twitter influence scores for the topic search "plastic surgery" were collected in July 2017 using Right Relevance software. The accounts associated with the highest influencer scores were linked to individual names, status as a plastic surgeon, board certification, location, and academic h-index. RESULTS: The top 100 Twitter influencers in plastic surgery are presented. Seventy-seven percent of the top influencers are trained as plastic surgeons or facial plastic surgeons. Sixty-one percent of influencers are board-certified plastic surgeons or board-eligible/future eligible trainees. International plastic surgeons made up 16% of influencers. Other medical doctors made up another 10%. The other 13% of influencers were nonphysicians. Three-quarters of social media influencers were physically located in the United States. Academic h-index of social media influencers ranged from 0 to 62 (mean, 8.6). CONCLUSIONS: This study shows that the top plastic surgery social media influencers on Twitter are predominantly board-certified or eligible plastic surgeons and physically based in the United States. This study also provides the influencer network for other plastic surgeons to engage with to improve their own influence within the plastic surgery social media sphere.

Novel Expanded Safe Zone for Reduction of Submental Fullness with ATX-101 Injection.

BACKGROUND: ATX-101 (deoxycholic acid injection; Kybella) provides an approved nonsurgical treatment option for reduction of submental fullness caused by submental fat. Current one-size-fits-all recommendations for the use of ATX-101 limit treatment to a central area, which may not provide complete resolution of submental fat for some patients. An expanded safe zone is described, allowing for individualized, comprehensive treatment of submental fat with ATX-101 according to each patient's anatomy and desired outcomes. METHODS: A retrospective review was conducted of patients treated with ATX-101 for excess submental fat between June of 2015 and December of 2016 at a single plastic surgery practice. The expanded safe zone was developed to isolate the distinct fat compartments of the submental area and includes a no-treatment zone to avoid the marginal mandibular nerve. The extent of ATX-101 treatment required in each zone was determined by assessment of subcutaneous adipose tissue. A 1-cm grid was used to mark the treatment area before injection of ATX-101 (2 mg/cm). Improvement (defined as decreased palpable and/or visible submental fullness) was determined at least 4 months after the final treatment. Adverse events were recorded at each visit and reported by patients by means of telephone. RESULTS: Overall, 167 patients were included in this analysis. Improvement in submental fullness was achieved in 160 of 167 patients (95.8 percent). The majority of adverse events consisted of temporary injection-site edema, numbness, and tenderness. CONCLUSION: An understanding of submental anatomy and careful assessment of each patient's submental fat allows for individualized treatment with ATX-101 beyond the central region of the neck without increased risk of adverse events. CLINICAL QUESTION/LEVEL OF EVIDENCE: Therapeutic, IV.

Who should you be following? The top 100 social media influencers in orthopaedic surgery.

BACKGROUND: Social media has been credited with the potential to transform medicine, and Twitter was recently named "an essential tool" for the academic surgeon. Despite this, peer-to-peer and educational influence on social media has not been studied within orthopaedic surgery. This knowledge is important to identify who is controlling the conversation about orthopaedics to the public. We hypothesized that the plurality of top influencers would be sports medicine surgeons, that social media influence would not be disconnected from academic productivity, and that some of the top social media influencers in orthopaedic surgery would not be orthopaedic surgeons. AIM: To identify the top 100 social media influencers within orthopaedics, characterize who they are, and relate their social media influence to academic influence. METHODS: Twitter influence scores for the topic "orthopaedics" were collected in July 2018 using Right Relevance software. The accounts with the top influence scores were linked to individual names, and the account owners were characterized with respect to specialty, subspecialty, practice setting, location, board certification, and academic Hirsch index (h-index). RESULTS: Seventy-eight percent of top influencers were orthopaedic surgeons. The most common locations included California (13%), Florida (8%), New York (7%), United Kingdom (7%), Colorado (6%), and Minnesota (6%). The mean academic h-index of the top influencers (n = 79) was 13.67 ± 4.12 (mean ± 95%CI) and median 7 (range 1-89) (median reported h-index of academic orthopaedic faculty is 5 and orthopaedic chairpersons is 13). Of the 78 orthopaedic surgeons, the most common subspecialties were sports medicine (54%), hand and upper extremity (18%), and spine (8%). Most influencers worked in private practice (53%), followed by academics (17%), privademics (14%), and hospital-based (9%). All eligible orthopaedic surgeons with publicly-verifiable board certification statuses were board-certified (n = 74). CONCLUSION: The top orthopaedic social media influencers on Twitter were predominantly board-certified, sports-medicine subspecialists working in private practice in the United States. Social media influence was highly concordant with academic productivity as measured by the academic h-index. Though the majority of influencers are orthopaedic surgeons, 22% of top influencers on Twitter are not, which is important to identify given the potential for these individuals to influence patients' perceptions and expectations. This study also provides the top influencer network for other orthopaedic surgeons to engage with on social media to improve their own social media influence.

Learning curves: historical trends of FDA-reported adverse events for dermal fillers.

Dermal fillers are medical devices regulated by the US Food and Drug Administration (FDA); therefore, reported adverse events (AEs) are publicly available via OpenFDA. Evaluation of historical AE data trends may help distinguish between AEs related to expected learning curves associated with a new type of filler from AEs related to inherent characteristics of a product. In this study, the full history of AE data was evaluated to establish reproducible learning curves for FDA-approved dermal fillers. Reactions to AEs for new fillers that garner FDA approval or are awarded new indications should be in response to analysis of AE rate data and determination of whether they fit on a historically normal learning curve.

Craniofacial Measurements of Donors and Recipients Correlate with Aesthetic Outcome in Virtual Face Transplantation.

BACKGROUND: Face transplantation is an increasingly feasible option for patients with severe disfigurement. Donors and recipients are currently matched based on immune compatibility, skin characteristics, age, and gender. Aesthetic outcomes of the match are not always optimal and not possible to study in actual cases due to ethical and logistical challenges. We have used a reproducible and inexpensive three-dimensional virtual face transplantation (VFT) model to study this issue. METHODS: Sixty-one VFTs were performed using reconstructed high-resolution computed tomography angiographs of male and female subjects aged 20-69 years. Twenty independent reviewers evaluated the level of disfigurement of the posttransplant models. Absolute differences in 9 soft-tissue measurements and 16 bony cephalometric measurements from each of the VFT donor and recipient pretransplant model pairs were correlated to the reviewers' evaluation of disfigurement after VFT through a multivariate logistic regression model. RESULTS: Five soft-tissue measurements and 3 bony measurements were predictive of the rating of disfigurement after VFT (odds ratio; 95% confidence interval): trichion-to-nasion facial height (1.106; 1.066-1.148), endocanthal width (1.096; 1.051-1.142), exocanthal width (1.067; 1.036-1.099), mouth/chelion width (1.064; 1.019-1.110), subnasale-to-menton facial height (1.029; 1.003-1.056), inner orbit width (1.039; 1.009-1.069), palatal plane/occlusal plane angle (1.148; 1.047-1.258), and sella-nasion/mandibular plane angle (1.079; 1.013-1.150). CONCLUSIONS: This study provides early evidence for the importance of soft-tissue and bony measurements in planning of facial transplantation. With future improvements to immunosuppressive regimens and increased donor availability, these measurements may be used as an additional criterion to optimize posttransplant outcomes.

Facial appearance transfer and persistence after three-dimensional virtual face transplantation.

BACKGROUND: Facial appearance transfer from donor to recipient in face transplantation is a concern. Previous studies of facial appearance transfer and facial appearance persistence (preservation of the recipient's facial likeness) in face transplants simulated using two-dimensional photographic manipulations found low facial appearance transfer (2.6 percent) and high facial appearance persistence (66 percent). Three-dimensional computer simulation of complex facial transplant patterns may improve the accuracy of facial appearance transfer and facial appearance persistence estimations. METHODS: Three-dimensional virtual models of human faces were generated from deidentified computed tomographic angiographs and used as "donors" or "recipients" for virtual face transplantation. Surgical planning software was used to perform 73 virtual face transplantations by creating specific facial defects (mandibular, midface, or large) in the recipient models and restoring them with allografts extracted from the donor models. Twenty independent reviewers evaluated the resemblance of each resulting posttransplant model to the donor (facial appearance transfer) and recipient (facial appearance persistence). The results were analyzed using tests for equal results with one-sample and pairwise Rao-Scott Pearson chi-square testing, correcting for clustering and multiple testing. RESULTS: Overall rates of facial appearance persistence and facial appearance transfer were high (69.2 percent) and low (32.4 percent), respectively. The mandibular pattern had the highest rates of facial appearance persistence and lowest rates of facial appearance transfer. Facial appearance persistence and transfer were similar across sexes. CONCLUSIONS: Facial appearance persistence is high and facial appearance transfer is low after virtual face transplantation. Appearance transfer and persistence after virtual face transplantation are more dependent on the anatomy than on the size of transplanted facial aesthetic units. This information may reassure recipients of partial face transplants and donor families.