ChatGPT Provides Misinformed Responses to Medical Questions.

Surgeons have dealt with the negative effects of misinformation from "Dr. Google" since patients starting using search engines to seek out medical information. With the advent of natural language processing software such as ChatGPT, patients may have a seemingly real conversation with AI software. However, ChatGPT provides misinformation in response to medical questions, and responds at the reading level of a college freshman, whereas US National Institute of Health recommends medical information be written at a 6th grade level. The flaw of ChatGPT is that it recycles information from the internet. It is "artificially intelligent" because of its ability to mimic natural language - not because of its ability to understand and synthesize content. It fails to understand nuance or critically analyze new inputs. Ultimately, these skills require human intelligence, while ChatGPT provides responses that are exactly what you might expect - artificial.

Evaluation of body shape as a human body composition assessment in isolated conditions and remote environments.

Individuals in isolated and extreme environments can experience debilitating side-effects including significant decreases in fat-free mass (FFM) from disuse and inadequate nutrition. The objective of this study was to determine the strengths and weaknesses of three-dimensional optical (3DO) imaging for monitoring body composition in either simulated or actual remote environments. Thirty healthy adults (ASTRO, male = 15) and twenty-two Antarctic Expeditioners (ABCS, male = 18) were assessed for body composition. ASTRO participants completed duplicate 3DO scans while standing and inverted by gravity boots plus a single dual-energy X-ray absorptiometry (DXA) scan. The inverted scans were an analog for fluid redistribution from gravity changes. An existing body composition model was used to estimate fat mass (FM) and FFM from 3DO meshes. 3DO body composition estimates were compared to DXA with linear regression and reported with the coefficient of determination (R2) and root mean square error (RMSE). ABCS participants received only duplicate 3DO scans on a monthly basis. Standing ASTRO meshes achieved an R2 of 0.76 and 0.97 with an RMSE of 2.62 and 2.04 kg for FM and FFM, while inverted meshes achieved an R2 of 0.52 and 0.93 with an RMSE of 2.84 and 3.23 kg for FM and FFM, respectively, compared to DXA. For the ABCS arm, mean weight, FM, and FFM changes were -0.47, 0.06, and -0.54 kg, respectively. Simulated fluid redistribution decreased the accuracy of estimated body composition values from 3DO scans. However, FFM stayed robust. 3DO imaging showed good absolute accuracy for body composition assessment in isolated and remote environments.

ChatGPT Responses to Common Questions About Slipped Capital Femoral Epiphysis: A Reliable Resource for Parents?

BACKGROUND: We sought to evaluate the ability of ChatGPT, an AI-powered online chatbot, to answer frequently asked questions (FAQs) regarding slipped capital femoral epiphysis (SCFE). METHODS: Seven FAQs regarding SCFE were presented to ChatGPT. Initial responses were recorded and compared with evidence-based literature and reputable online resources. Responses were subjectively rated as "excellent response requiring no further clarification," "satisfactory response requiring minimal clarification," "satisfactory response requiring moderate clarification," or "unsatisfactory response requiring substantial clarification." RESULTS: ChatGPT was frequently able to provide satisfactory responses that required only minimal clarification. One response received an excellent rating and required no further clarification, while only 1 response from ChatGPT was rated unsatisfactory and required substantial clarification. CONCLUSIONS: ChatGPT is able to frequently provide satisfactory responses to FAQs regarding SCFE while appropriately reiterating the importance of always consulting a medical professional.

ChatGPT Responses to Common Questions About Anterior Cruciate Ligament Reconstruction Are Frequently Satisfactory.

PURPOSE: To evaluate ChatGPT responses to common questions patients have regarding anterior cruciate ligament (ACL) reconstruction. METHODS: Ten frequently asked questions regarding ACL tears and ACL reconstruction were chosen from the frequently asked questions found on the websites of major institutions. These were presented to ChatGPT and responses were rated as "excellent response not requiring clarification," "satisfactory requiring minimal clarification," "satisfactory requiring moderate clarification," or "unsatisfactory requiring substantial clarification." RESULTS: Four responses were satisfactory, requiring minimal clarification, 3 were satisfactory, requiring moderate clarification, 2 were unsatisfactory, and 1 was excellent, requiring no clarification. CONCLUSIONS: As hypothesized, ChatGPT provided generally accurate information to common questions around ACL reconstruction. Although clarification often was needed, responses were satisfactory for providing generalized information about ACL tears and ACL reconstruction. CLINICAL RELEVANCE: ChatGPT is a promising avenue for patients to learn about general background information regarding ACL reconstruction, although questions specific to any planned operation need to be addressed directly with an orthopaedic provider.

Generative deep learning furthers the understanding of local distributions of fat and muscle on body shape and health using 3D surface scans.

BACKGROUND: Body shape, an intuitive health indicator, is deterministically driven by body composition. We developed and validated a deep learning model that generates accurate dual-energy X-ray absorptiometry (DXA) scans from three-dimensional optical body scans (3DO), enabling compositional analysis of the whole body and specified subregions. Previous works on generative medical imaging models lack quantitative validation and only report quality metrics. METHODS: Our model was self-supervised pretrained on two large clinical DXA datasets and fine-tuned using the Shape Up! Adults study dataset. Model-predicted scans from a holdout test set were evaluated using clinical commercial DXA software for compositional accuracy. RESULTS: Predicted DXA scans achieve R2 of 0.73, 0.89, and 0.99 and RMSEs of 5.32, 6.56, and 4.15 kg for total fat mass (FM), fat-free mass (FFM), and total mass, respectively. Custom subregion analysis results in R2s of 0.70-0.89 for left and right thigh composition. We demonstrate the ability of models to produce quantitatively accurate visualizations of soft tissue and bone, confirming a strong relationship between body shape and composition. CONCLUSIONS: This work highlights the potential of generative models in medical imaging and reinforces the importance of quantitative validation for assessing their clinical utility.

Body composition, measured quantities of muscle, fat, and bone, is typically assessed through dual energy X-ray absorptiometry (DXA) scans, which requires specialized equipment, trained technicians and involves exposure to radiation. Exterior body shape is dependent on body composition and recent technological advances have made three-dimensional (3D) scanning for body shape accessible and virtually ubiquitous. We developed a model which uses 3D body surface scan inputs to generate DXA scans. When analyzed with commercial software that is used clinically, our model generated images yielded accurate quantities of fat, lean, and bone. Our work highlights the strong relationship between exterior body shape and interior composition. Moreover, it suggests that with enhanced accuracy, such medical imaging models could be more widely adopted in clinical care, making the analysis of body composition more accessible and easier to obtain.

Higher complication rates following primary total shoulder arthroplasty in patients presenting from areas of higher social deprivation.

Aims: The aim of this study was to characterize the influence of social deprivation on the rate of complications, readmissions, and revisions following primary total shoulder arthroplasty (TSA), using the Social Deprivation Index (SDI). The SDI is a composite measurement, in percentages, of seven demographic characteristics: living in poverty, with < 12 years of education, single-parent households, living in rented or overcrowded housing, households without a car, and unemployed adults aged < 65 years. Methods: Patients aged ≥ 40 years, who underwent primary TSA between 2011 and 2017, were identified using International Classification of Diseases (ICD)-9 Clinical Modification and ICD-10 procedure codes for TSA in the New York Statewide Planning and Research Cooperative System database. Readmission, reoperation, and other complications were analyzed using multivariable Cox proportional hazards regression controlling for SDI, age, ethnicity, insurance status, and Charlson Comorbidity Index. Results: A total of 17,698 patients with a mean age of 69 years (SD 9.6), of whom 57.7% were female, underwent TSA during this time and 4,020 (22.7%) had at least one complication. A total of 8,113 patients (45.8%) had at least one comorbidity, and the median SDI in those who developed complications 12 months postoperatively was significantly greater than in those without a complication (33 vs 38; p < 0.001). Patients from areas with higher deprivation had increased one-, three-, and 12-month rates of readmission, dislocation, humeral fracture, urinary tract infection, deep vein thrombosis, and wound complications, as well as a higher three-month rate of pulmonary embolism (all p < 0.05). Conclusion: Beyond medical complications, we found that patients with increased social deprivation had higher rates of humeral fracture and dislocation following primary TSA. The large sample size of this study, and the outcomes that were measured, add to the literature greatly in comparison with other large database studies involving TSA. These findings allow orthopaedic surgeons practising in under-served or low-volume areas to identify patients who may be at greater risk of developing complications.

The weather determines the number of cases of tick paralysis in dogs and cats in eastern Australia, caused by Ixodes holocyclus, the eastern paralysis tick.

We studied over 222,000 cases of emergency veterinary consultations in four regions along the eastern coast of Australia. We found that cases of tick paralysis (TP) caused by the eastern paralysis tick, Ixodes holocyclus, accounted for 7.5% of these cases: >16,000 cases. The season of TP and the number (prevalence) of TP cases varied among regions and over the years. Our study of the association between weather and (i) the start of the season of TP, and (ii) the number of TP cases revealed much about the intricate relationship between the weather and I. holocyclus. We studied the effect of the hypothetical availability of isoxazoline-containing tick-preventative medicines and found that an increase in the availability of these medicines had significantly contributed to the decrease in TP cases. We found that the weather in winter accounted for the time of the year the season of TP starts whereas the weather in summer accounted for the number of TP cases in the TP season. Last, through a study of the effects of shifts in the climate under four hypothetical scenarios (warmer/cooler and drier/wetter than average), we propose that the start of the season of TP depends on how soon the weather in winter becomes suitable for the activity (e.g. host-seeking) and the development of I. holocyclus nymphs, and that the number of TP cases during the TP season depends on how many engorged female ticks and their eggs survive during summer.

The Primary Cost Drivers of Outpatient Distal Radius Fracture Fixation: A Cost-Minimalization Analysis of 15,379 Cases.

Background Distal radius fractures are the most common fracture of the upper extremity. While some distal radius fractures can be managed with closed reduction and immobilization, operative treatment is the standard of care, with open reduction internal fixation (ORIF) as a predominant operative method. Questions/Purpose To investigate how patient and surgical characteristics affect the overall costs of internal fixation of distal radius fractures in adults. Patients and Methods The 2014 State Ambulatory Surgery and Services Databases for six states were used to identify cases and surgical characteristics of distal radius fracture ORIF in adult patients. Results Surgical variables that significantly increased cost were postoperative admission within 30 days, regional anesthesia, simultaneous endoscopic carpal tunnel release, and increasing operating room time. Conclusion Substantial contributors to total cost are postoperative hospital admission within 30 days of surgery, use of regional anesthesia, simultaneous endoscopic carpal tunnel release, and longer operative time. Level of Evidence Level III, retrospective cohort study.

[Preoperative chemotherapy for patients with upper tract urothelial carcinoma: Impact on renal function]. / Chimiothérapie préopératoire des tumeurs des voies excrétrices supérieures : impact sur la fonction rénale.

PURPOSE: Upper tract urothelial carcinoma (UTUC) are rare tumors with a poor prognosis. The standard treatment for localized disease is based on total nephroureterectomy (NUT) followed by platinum-based adjuvant chemotherapy for eligible patients at risk of recurrence. However, many patients have renal failure after surgery preventing chemotherapy. Thus, the place of preoperative chemotherapy (POC) is questioned with little information available about renal toxicity and efficacity. METHODS: A single center retrospective study was performed on patients with UTUC who received POC. RESULTS: In all, 24 patients with localized UTUC were treated with POC between 2013 and 2022. Twenty-one (91%) had secondarily NUT. In this cohort, POC did not result in degradation of median renal function (pre-POC median GFR: 70mL/min, post-POC median GFR: 77mL/min, P=0.79), unlike NUT (post-NUT median GFR: 51.5mL/min, P<0.001). In addition, the rate of complete pathological response to pathological examination was 29%. After a median follow-up of 27.4 months, the overall survival rate was 74% and the recurrence-free survival rate was 46%. CONCLUSION: POC for UTUC shows a very reassuring renal toxicity profile and encouraging histological results. These data encourage prospective studies assessing its place for UTUC management.

Accuracy and Precision of 3-dimensional Optical Imaging for Body Composition by Age, BMI, and Ethnicity.

BACKGROUND: The obesity epidemic brought a need for accessible methods to monitor body composition, as excess adiposity has been associated with cardiovascular disease, metabolic disorders, and some cancers. Recent 3-dimensional optical (3DO) imaging advancements have provided opportunities for assessing body composition. However, the accuracy and precision of an overall 3DO body composition model in specific subgroups are unknown. OBJECTIVES: This study aimed to evaluate 3DO's accuracy and precision by subgroups of age, body mass index, and ethnicity. METHODS: A cross-sectional analysis was performed using data from the Shape Up! Adults study. Each participant received duplicate 3DO and dual-energy X-ray absorptiometry (DXA) scans. 3DO meshes were digitally registered and reposed using Meshcapade. Principal component analysis was performed on 3DO meshes. The resulting principal components estimated DXA whole-body and regional body composition using stepwise forward linear regression with 5-fold cross-validation. Duplicate 3DO and DXA scans were used for test-retest precision. Student's t tests were performed between 3DO and DXA by subgroup to determine significant differences. RESULTS: Six hundred thirty-four participants (females = 346) had completed the study at the time of the analysis. 3DO total fat mass in the entire sample achieved R2 of 0.94 with root mean squared error (RMSE) of 2.91 kg compared to DXA in females and similarly in males. 3DO total fat mass achieved a % coefficient of variation (RMSE) of 1.76% (0.44 kg), whereas DXA was 0.98% (0.24 kg) in females and similarly in males. There were no mean differences for total fat, fat-free, percent fat, or visceral adipose tissue by age group (P > 0.068). However, there were mean differences for underweight, Asian, and Black females as well as Native Hawaiian or other Pacific Islanders (P < 0.038). CONCLUSIONS: A single 3DO body composition model produced accurate and precise body composition estimates that can be used on diverse populations. However, adjustments to specific subgroups may be warranted to improve the accuracy in those that had significant differences. This trial was registered at clinicaltrials.gov as NCT03637855 (Shape Up! Adults).

Monitoring body composition change for intervention studies with advancing 3D optical imaging technology in comparison to dual-energy X-ray absorptiometry.

BACKGROUND: Recent 3-dimensional optical (3DO) imaging advancements have provided more accessible, affordable, and self-operating opportunities for assessing body composition. 3DO is accurate and precise in clinical measures made by DXA. However, the sensitivity for monitoring body composition change over time with 3DO body shape imaging is unknown. OBJECTIVES: This study aimed to evaluate the ability of 3DO in monitoring body composition changes across multiple intervention studies. METHODS: A retrospective analysis was performed using intervention studies on healthy adults that were complimentary to the cross-sectional study, Shape Up! Adults. Each participant received a DXA (Hologic Discovery/A system) and 3DO (Fit3D ProScanner) scan at the baseline and follow-up. 3DO meshes were digitally registered and reposed using Meshcapade to standardize the vertices and pose. Using an established statistical shape model, each 3DO mesh was transformed into principal components, which were used to predict whole-body and regional body composition values using published equations. Body composition changes (follow-up minus the baseline) were compared with those of DXA using a linear regression analysis. RESULTS: The analysis included 133 participants (45 females) in 6 studies. The mean (SD) length of follow-up was 13 (5) wk (range: 3-23 wk). Agreement between 3DO and DXA (R2) for changes in total FM, total FFM, and appendicular lean mass were 0.86, 0.73, and 0.70, with root mean squared errors (RMSEs) of 1.98 kg, 1.58 kg, and 0.37 kg, in females and 0.75, 0.75, and 0.52 with RMSEs of 2.31 kg, 1.77 kg, and 0.52 kg, in males, respectively. Further adjustment with demographic descriptors improved the 3DO change agreement to changes observed with DXA. CONCLUSIONS: Compared with DXA, 3DO was highly sensitive in detecting body shape changes over time. The 3DO method was sensitive enough to detect even small changes in body composition during intervention studies. The safety and accessibility of 3DO allows users to self-monitor on a frequent basis throughout interventions. This trial was registered at clinicaltrials.gov as NCT03637855 (Shape Up! Adults; https://clinicaltrials.gov/ct2/show/NCT03637855); NCT03394664 (Macronutrients and Body Fat Accumulation: A Mechanistic Feeding Study; https://clinicaltrials.gov/ct2/show/NCT03394664); NCT03771417 (Resistance Exercise and Low-Intensity Physical Activity Breaks in Sedentary Time to Improve Muscle and Cardiometabolic Health; https://clinicaltrials.gov/ct2/show/NCT03771417); NCT03393195 (Time Restricted Eating on Weight Loss; https://clinicaltrials.gov/ct2/show/NCT03393195), and NCT04120363 (Trial of Testosterone Undecanoate for Optimizing Performance During Military Operations; https://clinicaltrials.gov/ct2/show/NCT04120363).

Addressing Hypertension Care in Africa (ADHINCRA): Study protocol for a cluster-randomized controlled pilot trial.

BACKGROUND: Uncontrolled hypertension is a major risk factor for cardiovascular disease. Evidence-based interventions to improve hypertension control in high-income countries have not been translated equally in sub-Saharan Africa (SSA). The objective of the Addressing Hypertension Care in Africa (ADHINCRA) Study was to test the feasibility and signal of efficacy of a multilevel, nurse-led, mobile health enhanced intervention in improving hypertension control in Ghana. METHODS: Using a cluster randomized controlled pilot trial design, four hospitals in Kumasi, Ghana, were randomized to the intervention arm (2 hospitals) and enhanced usual care arm (2 hospitals). A total of 240 patients with uncontrolled hypertension defined as systolic blood pressure (BP) ≥140 mmHg on their most recent visit were included (60 patients per hospital). Patients in the intervention arm received an intervention that consisted of nurse-led task-shifting and a mobile health application (Medtronic® Labs' Empower Health), and home BP monitoring. The enhanced usual care arm received usual care as determined by their providers, plus short text messages on health. The intervention was administered for six months, after which it was withdrawn, and patients were followed for six more months to assess outcomes. Feasibility measures included recruitment and dropout rates of study participants, protocol adherence in both arms. Clinical outcomes included changes in BP control status and systolic BP levels from baseline. Secondary outcomes included change in glycemic control, rates of hypertensive urgencies/emergencies, cardiovascular disease events, and medication adherence. DISCUSSION: Findings from this study will provide critical pilot data to inform the conduct of a larger scale trial and the development of scalable health system and policy interventions to improve hypertension control in low-resource settings. Trial registration NCT04010344. Registered on July 8, 2019 at ClinicalTrials.govhttps://clinicaltrials.gov/ct2/show/NCT04010344.

Social networks, perceived social support, and HbA1c in individuals with type 2 diabetes mellitus in urban Ghana.

OBJECTIVES: Although links between social relationships and health are well established, few studies have concurrently examined the effects of compositional, structural, and functional dimensions of social networks on glycemic (HbA1c) control in low- and middle-income countries such as Ghana. In these settings where informal social relationships are critical for access to resources, evaluating the links between social network characteristics, social support, and glycemic control may provide clarity about important relationships that facilitate the well-being of individuals with type 2 diabetes mellitus (T2DM). DESIGN: In 2018, we conducted a hospital-based, cross-sectional survey of noninstitutionalized adults with T2DM in Ghana. Using data from 247 study participants, multivariable linear regression models were used to estimate associations between: 1) HbA1c and three social network characteristics (kin composition, household composition, and network density); 2) social support and the three social network characteristics; and 3) HbA1c and social support. We also examined gender differences in these associations and applied mediation techniques to determine if network characteristics operated through social support to affect HbA1c. RESULTS: Findings indicated that higher kin composition and higher household composition were each significantly associated with increased social support. Neither social support nor social network characteristics were significantly related to HbA1c, and there were no gender differences in any of these associations. CONCLUSION: Although family and household members were identified as important sources of social support for diabetes management, the ways in which they influence HbA1c control among Ghanaians require further investigation. Future studies can examine whether changes in social support over time, social support satisfaction, or other dimensions of social relationships improve T2DM outcomes in countries like Ghana.

Seasonal and diel modulation of DOM in a mangrove-dominated estuary.

Rivers and estuaries are the main links between continents and oceans. The Paraíba do Sul River is among the most important rivers of the southeastern Brazilian region, carrying an average of 0.08 Tg of dissolved organic matter (DOM) to the ocean but has been facing significant changes in river discharge. In this study, we aimed to provide insights into the sources and transformations of chromophoric dissolved organic matter (CDOM) and fluorescent dissolved organic matter (FDOM) sources across a salinity gradient under changing river discharge scenarios. Three spatial surveys were performed covering the entire salinity gradient of the main estuarine channel and surrounding mangrove waters under contrasting river discharge (178 to 1240 m3 s-1), and diel sampling was conducted in the mangrove tidal creek. The characterization of DOM through the parallel factor analysis (PARAFAC) model identified six components across the river-ocean gradient and mangrove creek: terrestrial origin (C1 - fulvic acid and C2 and C3 - humic-like), protein-like (C4), tryptophan-like (C5), and tyrosine-like (C6). Our results showed a shift in DOM composition and contribution along the salinity gradient, from terrestrial (C3) to autochthonous (C5 and C6) signatures. The October-17 dry campaign was characterized by a higher proportion of microbial protein-like component C4 and a lower contribution of humic-like components compared to February-17 and March-18 across the salinity gradient with an increase in the mixing zone. The DOM compositions of the February 17 dry and March 18 wet campaigns were similar. Additionally, the March-18 wet campaign, marked by the highest river discharge, showed higher inputs of terrestrial DOM (C1-C3 components) compared to February-17 in the estuary, which allowed DOM to be transported rather than transformed. The mangrove diel study showed that tidal fluctuations are also an important driver of carbon input to the mangrove creek with a possible impact on DOM composition in estuarine waters.

A novel comorbidity risk score for predicting postoperative 30-day complications in total shoulder arthroplasty and elucidation of potential racial disparities.

Background: Efficient and effective preoperative identification of those patients with elevated risk may allow for more cost-effective interventions, accurate bundled payment adjustments, and overall improved patient care. Few comorbidity indices have provided clinical utility and adequate discriminative ability in the setting of complications after shoulder arthroplasty (SA). Methods: The American College of Surgeons National Surgical Quality Improvement Program database was queried for anatomic and/or reverse SA procedures between 2010 and 2019. A subset of comorbidities were utilized including end-stage renal disease, history of hypertension, chronic obstructive pulmonary disease, functional status, history of bleeding disorder, and disseminated cancer. Results: A total of 25,927 patients with an average age of 69.2 (standard deviation ±9.5) years were included in the study. Patients with a comorbidity risk score (CRS) at or above 2 were indicated to have at least a 29.6% 30-day postoperative complication rate after undergoing total shoulder arthroplasty, significantly higher than the described average of approximately 15%. The area under receiver operator curve for the novel CRS scoring system was 0.595, indicating fair discriminative ability to predict 30-day postoperative complications after SA. This illustrates a discriminative ability similar to that of the American Society of Anesthesiologists classification (0.584, confidence interval [CI] 0.578-0.589), modified Charlson Comorbidity Index (0.567, CI 0.561-0.573), and modified Frailty Index (0.534, CI 0.529-0.539), each of which are common comorbidity indices used for the National Surgical Quality Improvement Program database. The average CRS for the population was 0.8537 (CI 0.8011-0.8150; P < .05) while that for the Black demographic was 1.08 (CI 1.03-1.13; P < .001). Our results suggest that if the disparity in CRS among races was corrected, the average complication rate would be decreased by 2.0%. Discussion and Conclusion: A higher CRS score resulted in higher rates of 30-day postoperative complications following SA. Black patients had a higher average CRS than all other races illustrating a racial disparity in comorbidity risk. Although the average complication rate of each race would still be unequal, this could mitigate some of the racial disparities observed and decrease the overall 30-day complication rate in SA. With the rise of bundled payments further increasing the need to preoperatively identify patients at high risk for costly complications, the CRS is based on easily identified, relevant comorbidities that may be an advantageous tool to identify patients at increased risk of complications following SA.

Trends in operative duration of total shoulder arthroplasty from 2008 to 2018: a national database study.

Background: As total shoulder arthroplasty has emerged as the fastest growing joint replacement performed, optimizing surgical efficiency and patient outcomes is essential. The goals of the current study were to identify trends and factors affecting the operative time of total shoulder arthroplasty over a 10-year period. Methods: The National Surgical Quality Improvement Program database was analyzed to determine the operative time and 30-day complications of total shoulder arthroplasty from 2008 to 2018. Factors affecting total shoulder arthroplasty operative time were also assessed. Multivariable linear regression was used to analyze operative time over years studied while controlling for patient demographics and comorbidities. Results: A total of 20,587 total shoulder arthroplasty cases from 2008 to 2018 were included. Mean operative time in 2008 was 139.0 min, while in 2018, mean operative time decreased to 105.6 min (P < .001). Male sex, outpatient surgery, increased body mass index, and low preoperative hematocrit were associated with longer operative times, while elevated international normalized ratio, resident involvement, and elective surgeries were associated with decreased operative duration. Discussion: Operative time for total shoulder arthroplasty has decreased from 2008 to 2018. Patient factors and comorbidities are associated with operative time, and such factors are important to consider in operative planning to ensure appropriate patient and surgeon expectations.

Social and Demographic Factors Impact Shoulder Stabilization Surgery in Anterior Glenohumeral Instability.

Purpose: To assess independent predictors of surgery after an emergency department visit for shoulder instability, including patient-related and socioeconomic factors. Methods: Patients presenting to the emergency department were identified in the New York Statewide Planning and Research Cooperative System database from 2015 to 2018 by International Classification of Diseases, Tenth Revision, Clinical Modification diagnosis codes for anterior shoulder dislocation or subluxation. All shoulder stabilization procedures in the outpatient setting were identified using Current Procedural Terminology codes (23455, 23460, 23462, 23466, and 29806). A multivariable logistic regression was performed to assess the impact of patient factors on the likelihood of receiving surgery. The variables included in the analysis were age, sex, race, social deprivation, Charlson Comorbidity Index, recurrent dislocation, and primary insurance type. Results: In total, 16,721 patients with a shoulder instability diagnosis were included in the analysis and 1,028 (6.1%) went on to have surgery. Patients <18 years old (odds ratio [OR] 8.607, P < .0001), those with recurrent dislocations (OR 2.606, P < .0001), or worker's compensation relative to private insurance (OR 1.318, P = .0492) had increased odds of receiving surgery. Hispanic (OR 0.711, P = .003) and African American (OR 0.63, P < .0001) patients had decreased odds of surgery compared with White patients. Patients with Medicaid (OR 0.582, P < .0001) or self-pay (OR 0.352, P < .0001) insurance had decreased odds of undergoing surgery relative to privately insured patients. Patients with greater levels of social deprivation (OR 0.993, P < .0001) also were associated with decreased odds of surgery. Conclusions: Anterior glenohumeral instability and subsequent stabilization surgery is associated with disparities among patient race, primary insurance, and social deprivation. Clinical Relevance: Considering the relationship between differential care and health disparities, it is critical to define and increase physician awareness of these disparities to help ensure equitable care.

Prevalence and Clinical Impact of Incidental Findings on Preoperative 3D Planning Computed Tomography for Total Shoulder Arthroplasty.

INTRODUCTION: 3D planning software for shoulder arthroplasty recently emerged for aiding in intraoperative determination of native glenoid. These protocols often require increased scan resolution, however, raising the question of an increased prevalence and clinical impact of incidental findings (IFs) from preoperative imaging. METHODS: A retrospective review of preoperative shoulder CT reports was conducted for 333 consecutive patients planning anatomic or reverse total shoulder arthroplasties. Patients with thin-sliced CT scans (1.25 mm) were compared with those with standard CT scans (2.5 mm). Poisson regression was performed with baseline characteristics and potentially pathologic IFs (PPIFs). RESULTS: IFs were present in 131 of the 333 scans (39.3%), and 38 of the 333 scans (11.4%) included PPIFs. Only 8 of the 333 scans (2.4%) required workup, with 2 of the 333 (0.6%) leading to new cancer diagnoses. Thin-sliced CT scans detected a higher mean number of IFs (1.12 versus 0.22, P < 0.001) while the mean number of PPIFs remained similar (0.13 versus 0.10, P = 0.43). CONCLUSION: IFs are frequent; however, only 0.6% scans led to new cancer diagnoses. Comparison of thin-sliced with standard CT scans revealed a higher frequency of IFs but similar PPIFs, indicating increased burden of IFs without the benefit of identifying additional malignancies. As demand rises for shoulder arthroplasties, surgeons should consider the potential hidden costs of IFs when using 3D planning programs.

Three-dimensional optical body shape and features improve prediction of metabolic disease risk in a diverse sample of adults.

OBJECTIVE: This study examined whether body shape and composition obtained by three-dimensional optical (3DO) scanning improved the prediction of metabolic syndrome (MetS) prevalence compared with BMI and demographics. METHODS: A diverse ambulatory adult population underwent whole-body 3DO scanning, blood tests, manual anthropometrics, and blood pressure assessment in the Shape Up! Adults study. MetS prevalence was evaluated based on 2005 National Cholesterol Education Program criteria, and prediction of MetS involved logistic regression to assess (1) BMI, (2) demographics-adjusted BMI, (3) 85 3DO anthropometry and body composition measures, and (4) BMI + 3DO + demographics models. Receiver operating characteristic area under the curve (AUC) values were generated for each predictive model. RESULTS: A total of 501 participants (280 female) were recruited, with 87 meeting the criteria for MetS. Compared with the BMI model (AUC = 0.819), inclusion of age, sex, and race increased the AUC to 0.861, and inclusion of 3DO measures further increased the AUC to 0.917. The overall integrated discrimination improvement between the 3DO + demographics and the BMI model was 0.290 (p < 0.0001) with a net reclassification improvement of 0.214 (p < 0.0001). CONCLUSIONS: Body shape measures from an accessible 3DO scan, adjusted for demographics, predicted MetS better than demographics and/or BMI alone. Risk classification in this population increased by 29% when using 3DO scanning.