An Evaluation of Racial Disparities in Online Marketing of Academic Plastic Surgery Practices.

BACKGROUND: Racial disparities in plastic surgery limit health care accessibility and quality. The aim of this study is to determine if racial disparities exist within patient-targeted advertising materials on academic plastic surgery practice (APSP) Web sites and if disparities are more pronounced in specific categories within plastic surgery. METHODS: Throughout May 2021, 3 independent reviewers analyzed the Web sites for APSPs and identified all photos, videos, and graphics with visible skin. For each image, the Fitzpatrick skin tone scale was used to classify the skin tone as "White" (I-III) or "non-White" (IV-VI). The images were further categorized based on the type of procedure depicted. Comparisons were made to publish US census data using χ 2 tests and linear mixed effects models. RESULTS: In total, 4615 images were analyzed from 100 APSP Web sites. Seven hundred eighty (16.9%) portrayed non-White skin tone, which was significantly less than expected based on US census data (23.7% non-White race) ( P < 0.001). Online representation had the starkest disparity in hand surgery (8.65% non-White) and adult craniofacial (9.74% non-White). The only categories that showed no significant difference between representation and demographics included implant-based breast reconstruction ( P = 0.32) and pediatric craniofacial ( P = 0.93). Overall, the marketing materials demonstrated significantly lower representation of non-White skin compared with the census demographics by an absolute difference of -4.71% ( P < 0.001). CONCLUSIONS: Non-White patients are significantly underrepresented in advertising materials published by APSPs, indicating systemic racial biases. Patient-targeted advertising can be improved to promote equality in representation for patients seeking plastic and reconstructive surgery.

Multidisciplinary Presurgical Education: Clinical Impact on Children With Orofacial Clefts Undergoing Maxillary Distraction via Rigid External Distraction.

OBJECTIVE: Treatment of severe maxillary hypoplasia is commonly addressed via distraction osteogenesis with a rigid external device (RED). While effective, this method can be socially stigmatizing in an already vulnerable patient population. To prepare children and their caregivers for life with a RED and decrease peri-operative anxiety, we instituted a multidisciplinary pre-surgical education session (MPES). This educational team involves our cleft care coordinator, child life specialist, orthodontist and plastic surgeon 2 weeks prior to surgery. We reviewed the impact of this intervention by examining clinical outcomes before and after its implementation. DESIGN: From February 2017 to February 2020, a retrospective chart review was performed to include patients with orofacial clefts and maxillary hypoplasia who underwent maxillary distraction osteogenesis with RED at our center before (28 patients) and after (29 patients) the implementation of MPES. RESULTS: MPES was associated with a significantly shorter length of stay compared to controls who did not receive MPES (3.6 vs 3.1 days, p < 0.03) and significantly decreased usage of inpatient narcotic pain medication compared to controls (16.8 morphine equivalents vs 31.8 morphine equivalents, p < 0.02). Our intervention also demonstrated a trend towards decrease in minor complications but did not achieve statistical significance p = 0.32). CONCLUSIONS: Multidisciplinary presurgical education is a beneficial adjunct in the care of patients with orofacial clefts and maxillary hypoplasia undergoing maxillary advancement with a RED.

Application of machine learning for diagnostic prediction of root caries.

OBJECTIVE: This study sought to utilise machine learning methods in artificial intelligence to select the most relevant variables in classifying the presence and absence of root caries and to evaluate the model performance. BACKGROUND: Dental caries is one of the most prevalent oral health problems. Artificial intelligence can be used to develop models for identification of root caries risk and to gain valuable insights, but it has not been applied in dentistry. Accurately identifying root caries may guide treatment decisions, leading to better oral health outcomes. METHODS: Data were obtained from the 2015-2016 National Health and Nutrition Examination Survey and were randomly divided into training and test sets. Several supervised machine learning methods were applied to construct a tool that was capable of classifying variables into the presence and absence of root caries. Accuracy, sensitivity, specificity and area under the receiver operating curve were computed. RESULTS: Of the machine learning algorithms developed, support vector machine demonstrated the best performance with an accuracy of 97.1%, precision of 95.1%, sensitivity of 99.6% and specificity of 94.3% for identifying root caries. The area under the curve was 0.997. Age was the feature most strongly associated with root caries. CONCLUSION: The machine learning algorithms developed in this study perform well and allow for clinical implementation and utilisation by dental and nondental professionals. Clinicians are encouraged to adopt the algorithms from this study for early intervention and treatment of root caries for the ageing population of the United States, and for attaining precision dental medicine.

Wrist Level Tendon Repairs Utilizing a Novel Tendon Stapler Device: An Efficiency and Biomechanical Study.

BACKGROUND: A novel tendon stapler device (TSD) was recently developed and FDA-approved to improve the strength and consistency of primary tendon repairs. We hypothesized this TSD would demonstrate faster and superior biomechanical properties compared to a standard suture coaptation. We also hypothesized that the TSD biomechanical properties would be consistent across participants with differing tendon repair experience. METHODS: Participants included a novice, intermediate, and expert in tendon repairs. Timed comparisons were performed in flexor zones IV-V and extensor zones VI-VII on human cadaver arms. Suture repairs were performed with a modified Kessler with a horizontal mattress. TSD repairs were performed on the matched donor arms. Biomechanical testing included 2-mm gap force, ultimate failure load, and mode of failure. RESULTS: In total, 228 tendon coaptations from 12 donor arms were performed and analyzed. TSD coaptations were three times faster and withstood nearly 50% higher forces on the 2-mm gap testing and roughly 30% higher forces on ultimate failure testing. These findings did not change when the repair times were analyzed by individual participants. The suture coaptations failed from suture pull-through, suture breakage, and knot failure. The TSD coaptation failures only occurred from device pull-through. CONCLUSION: The TSD produces significantly faster and stronger primary tendon coaptations compared to a standard 4-strand core suture repair in human donor arms. These findings also demonstrated minimal variability among participants with differing tendon repair experience. Although further investigation is needed, this device has potential to revolutionize tendon repairs.

Learning Curve of Wrist-level Tendon Repairs Using a Novel Tendon Stapler versus Traditional Suture Methods.

Numerous effective techniques for primary tendon coaptations exist. However, these techniques are complex and require a substantial amount of training to become proficient. Recently, a novel tendon stapler device (TSD) was developed that could potentially diminish the discrepancies among surgeons of varying levels of training. We hypothesized that the TSD would be easier to learn and would demonstrate improved learning curve efficiencies across participants of differing tendon repair experience compared with traditional suture methods. Participants included a novice, intermediate, and expert in tendon repairs. Comparisons were performed on wrist-level flexors and extensors from human donor arms. The suture repairs were performed with a modified Kessler with a horizontal mattress and were performed in one session on two donor arms by each participant. In a second session, each participant performed the TSD repairs on the matched, contralateral donor arms. Scatterplots fitted with Loess curves, one-way analysis of variance, Tukey pairwise comparisons, two-sided independent samples t test, and Fisher exact test were used to analyze findings. Results of our study showed that TSD repair times did not vary significantly by experience level. Suture repairs reached a stable "learned" level around repair #30, whereas the TSD repairs showed a more efficient curve that stabilized around repair #23. The TSD required less educational time, demonstrated a more efficient learning curve, and showed less variability across participants and repair order. Overall, the TSD is easy to adopt and may carry positive implications for surgeons and patients.

Hospitalization, mechanical ventilation, and case-fatality outcomes in US veterans with COVID-19 disease between years 2020-2021.

PURPOSE: Although veterans represent a significant proportion (7%) of the USA population, the COVID-19 disease impact within this group has been underreported. To bridge this gap, this study was undertaken. METHOD: A total of 419,559 veterans, who tested positive for COVID-19 disease in the Veterans Affairs hospital system from March 1st, 2020 to December 31st, 2021 with 60-days follow-up, was included in this retrospective review. Primary outcome measures included age-adjusted incidences and relative incidences of COVID-19 hospitalization, mechanical ventilation, and case-fatality outcomes. RESULTS: Of this veteran cohort with COVID-19 disease, predominately 85.7% were male, 59.1% were White veterans, 27.5% were ages 50-64, and 40.5% were obese. Although Black veterans were at 63% higher relative risk (RR) for hospitalization incidences, they had a similar risk RR for in-hospital deaths compared to the White-veteran referent. Asian, American Indian/Alaska Native races, advanced age ≥65, and the underweight were at high RR for mechanical ventilator and/or in-hospital deaths compared to respective referent groups. Veterans who are ≥85 years old had a nearly 5-fold higher incidence of death compared respective referent group. The monthly outcomes for hospitalization, ventilation, and case-fatality data showed decreasing trends with time. CONCLUSION: An increased incidence of death was associated with age ≥65 years and underweight veterans compared to the referent group. Age-adjusted data, however, did not show any increased incidence of death in Black veterans compared to White veterans. RATINGS OF THE QUALITY OF THE EVIDENCE: 3 (Case-control studies; retrospective cohort study).

Characteristics of Nonelderly Adult Health Care Persistent Super Utilizers in Utah.

In the United States, the top 1% and top 5% of health care spenders account for 23% and 50% of total health care spending, respectively. These high spenders have been coined the term super utilizers (SU). The aim of this study was to identify the characteristics associated with these patients to aid in developing public health interventions aimed at transitioning patients out of the SU category and thus ultimately helping to control health care costs. The authors utilized the Utah All-Payer Claims Database and Utah Population Database from 2013 to 2015 to identify demographics, comorbid conditions, health care utilization, and cost characteristics of persistent super utilizers (PSU) (≥3 hospitalizations per year for 3 years) of health care compared with persistent nonsuper utilizers (PNSU) (<3 hospitalizations per year for 3 years). Multivariable logistic regression was utilized to identify the characteristics associated with PSU versus PNSU. Higher outpatient/Emergency Department/noninpatient (eg, visits with imaging and Centers for Medicare & Medicaid Services preventive visits) health care utilization and spending, and prevalence of comorbid disease and psychosocial conditions were associated with PSU. In multivariable analysis, factors such as heart disease, chronic kidney disease (CKD), diabetes, alcohol abuse, and depression were statistically significantly associated with higher odds of PSU, with the most noteworthy being CKD (odds ratio [OR] 6.85, 95% confidence interval [95% CI] 5.84-8.02; P < 0.001), alcohol abuse (OR 5.90, 95% CI 4.49-7.69; P < 0.001), and heart diseases (OR 4.41, 95% CI 3.74-5.18; P < 0.001). The annual health care cost of a PSU is about 11.5 times greater than a PNSU ($54,776 vs. $4801; P < 0.001).

A Nationwide Analysis Evaluating the Safety of Using Acellular Dermal Matrix with Tissue Expander-Based Breast Reconstruction.

Background In March 2021, the United States Food and Drug Administration (FDA) safety communication cautioned against the use of acellular dermal matrix (ADM) products in breast reconstruction and reiterated that the FDA does not approve ADM use in breast surgery. This study aims to assess the safety of ADM use in breast reconstruction. Methods Women who underwent ADM and non-ADM assisted tissue expander (TE)-based breast reconstruction were identified using the National Surgical Quality Improvement Program database (2012-2019). Trends of ADM use over time, and 30-day outcomes of surgical site infection (SSI), dehiscence, and unplanned reoperation were assessed. Results Of the 49,049 TE-based breast reconstructive cases, 42.4% were ADM assisted and 57.6% non-ADM assisted. From 2012 to 2019, the use of ADM increased from 26.1 to 55.6% (relative risk [RR] =1.10; p < 0.01). Higher rates of SSI (3.9 vs. 3.4%; p = 0.003) and reoperation (7.4 vs. 6.0%; p < 0.001) were seen in the ADM cohort. There was no significant difference seen in dehiscence rates (0.7 vs. 0.7%; p = 0.73). The most common reoperation within 30 days for the ADM group (17.6%) was removal of TE without insertion of implant (current procedural terminology: 11,971). ADM-assisted breast reconstruction was associated with increased relative risk of SSI by 10% (RR = 1.10, confidence interval [CI]: 1.01-1.21; p = 0.03) and reoperation by 15% (RR = 1.15, CI: 1.08-1.23; p < 0.001). Conclusions ADM-assisted breast reconstruction more than doubled from 2012 to 2019. There are statistically higher complication rates of SSI (0.5%) and reoperation (1.4%) with ADM use in TE-based breast reconstruction, suggesting that reconstruction without ADM is safe when comparing immediate postoperative outcomes.

Using Machine Learning to Predict 30-Day Hospital Readmissions in Patients with Atrial Fibrillation Undergoing Catheter Ablation.

Atrial fibrillation (AF) cases are expected to increase over the next several decades, due to the rise in the elderly population. One promising treatment option for AF is catheter ablation, which is increasing in use. We investigated the hospital readmissions data for AF patients undergoing catheter ablation, and used machine learning models to explore the risk factors behind these readmissions. We analyzed data from the 2013 Nationwide Readmissions Database on cases with AF, and determined the relative importance of factors in predicting 30-day readmissions for AF with catheter ablation. Various machine learning methods, such as k-nearest neighbors, decision tree, and support vector machine were utilized to develop predictive models with their accuracy, precision, sensitivity, specificity, and area under the curve computed and compared. We found that the most important variables in predicting 30-day hospital readmissions in patients with AF undergoing catheter ablation were the age of the patient, the total number of discharges from a hospital, and the number of diagnoses on the patient's record, among others. Out of the methods used, k-nearest neighbor had the highest prediction accuracy of 85%, closely followed by decision tree, while support vector machine was less desirable for these data. Hospital readmissions for AF with catheter ablation can be predicted with relatively high accuracy, utilizing machine learning methods. As patient age, the total number of hospital discharges, and the total number of patient diagnoses increase, the risk of hospital readmissions increases.

Oral health as a gateway to overall health and well-being: Surveillance of the geriatric population in the United States.

AIMS: Little evidence exists to confirm that better oral health is associated with better overall health and well-being. The present study aimed to examine the impact of oral health on the overall health of the population greater than 65-year old in the entire United States. METHODS AND RESULTS: Data from National Health and Nutrition Examination Survey (NHANES) 2015-2016 were used. Variables included demographics and perceptions of oral health and overall health and well-being. Weighted prevalence estimates were calculated using mean, standard deviation, and percentage as appropriate. Chi-square tests and logistic regressions were performed to examine the association of oral health with physical health, mental health, general health, and systemic disease conditions. Analyses showed statistically significant relationships between oral health, physical, mental and general health, energy levels, work limitation, depression, and appetite. Out of the 10 systemic diseases being investigated, six of them were directly related to oral health outcome. CONCLUSION: This study provided strong empirical evidence that oral health is directly associated with different disease conditions and contributes largely to an individual's general health, particularly in the elderly. In the current landscape of patient-centered and value-based care, addressing the oral health needs of the elderly, who generally find themselves with limited access to care, should be a priority.