SCAT5 baseline values, test-retest reliability, and reliable change metrics in high school athletes.

OBJECTIVE: In the United States, more than 1 million sport-related concussions afflict children annually, with many cases undetected or unreported. The Sport Concussion Assessment Tool (SCAT) is widely used to detect concussions in high school, collegiate, and professional sports. The objective of this study was to establish baseline values for the SCAT version 5 (SCAT5) in high school athletes. METHODS: Baseline SCAT5 evaluations were conducted in students (ages 14-19 years) from 19 high schools in central Illinois who were participating in various school-sponsored sports. The SCAT5 evaluations were retrospectively extracted from the electronic medical record system for analysis. Statistical analyses included the Wilcoxon rank-sum test for continuous variables and the chi-square test for categorical variables, considering significance at p < 0.05. Test-retest reliability at < 6 months, 10-14 months, and 16-20 months was computed using intraclass correlation and Spearman's rho (ρ). Reliable change indices are provided using the Iverson formula. RESULTS: A total of 2833 unique athletes were included, and the average age was 15.5 ± 1.14 (SD) years. There were 721 female (25.5%) and 2112 male (74.5%) athletes. Students ≥ 15 years old had more prior concussions (p < 0.001), and male athletes were more frequently hospitalized for head injury (p = 0.013). Female athletes exhibited a significantly higher prevalence of mood disorders (14.7% vs 4.6%, p < 0.001), whereas attention-deficit/hyperactivity disorder was more common in male athletes (5.2% vs 13.2%, p < 0.001). Symptom number and severity were significantly greater in female athletes (3.17 ± 4.39 vs 2.08 ± 3.49, p < 0.001; 5.47 ± 9.21 vs 3.52 ± 7.26, p < 0.001, respectively), with mood-related symptoms representing the largest differences. Female athletes and students ≥ 15 years old performed better on most cognitive assessments. Female athletes and students < 15 years old performed better on the modified Balance Error Scoring System (p < 0.001). Test-retest reliability was poor to moderate for most assessment components. Reliable change index cutoff values differed slightly by sex, with female athletes often having a greater cutoff value. CONCLUSIONS: This study underscores the variability of SCAT5 baseline values influenced by age, sex, and medical history among adolescent athletes. It provides a robust dataset, delineating baseline values stratified by sex and age within this demographic. Additionally, the results provide enhanced guidance to clinicians for interpretation of change and reliability of baselines.

Charting a Path to the Quintuple Aim: Harnessing AI to Address Social Determinants of Health.

The Quintuple Aim seeks to improve healthcare by addressing social determinants of health (SDOHs), which are responsible for 70-80% of medical outcomes. SDOH-related concerns have traditionally been addressed through referrals to social workers and community-based organizations (CBOs), but these pathways have had limited success in connecting patients with resources. Given that health inequity is expected to cost the United States nearly USD 300 billion by 2050, new artificial intelligence (AI) technology may aid providers in addressing SDOH. In this commentary, we present our experience with using ChatGPT to obtain SDOH management recommendations for archetypal patients in Philadelphia, PA. ChatGPT identified relevant SDOH resources and provided contact information for local organizations. Future exploration could improve AI prompts and integrate AI into electronic medical records to provide healthcare providers with real-time SDOH recommendations during appointments.

The Social Determinants of Health Industry: Two Years On.

Social determinants of health (SDOH) have been insufficiently addressed by payers and providers despite increased prioritization at the national level. This led to the development of a separate, for-profit "SDOH industry" found to have a valuation of $18.5 billion (all dollar amounts in U.S. dollars) with $2.4 billion in funding as of July 2021. The purpose of this article is to determine the growth of the industry from 2021 to 2023 and provide a multifaceted explanation for this development. The authors conducted an analysis of 57 SDOH industry companies using a third-party market research platform. Over the previous two-year period, 10 out of 57 (18%) companies were acquired, and the industry gained an additional $1.1 billion (46% increase) in funding and $13.7 billion (74% increase) in valuation. The authors propose four contributing factors to explain the nature of this industry's evolution. They include developments in national health care policy favoring SDOH, standardization of SDOH information as actionable claims data, multi-source investment in SDOH, and improved methods of industry intervention measurement. These trends appear likely to continue, requiring additional scrutiny by all relevant stakeholders to ensure maximum improvement of rampant SDOH disparities that impact millions of individuals daily.

Addressing Financial Toxicity in Head and Neck Cancer-A Crucial Imperative.

This Viewpoint calls for consideration of the financial costs of head and neck cancer care when choosing treatment strategies for patients who may face severe financial stress or insolvency due to cancer treatment.

Modified Frailty Index Associates With Transoral Robotic Surgery Complications and Survival: A National Database Study.

OBJECTIVE: The modified frailty index (mFI-5) is a National Surgical Quality Improvement Program-derived 5-factor index that has been proven to reflect frailty and predict morbidity and mortality. We hypothesize that mFI-5 is a valid predictive measure in the transoral robotic surgery (TORS) population. METHODS: Retrospective study utilizing the TriNetX US-collaborative health records network querying for TORS patients. Cohorts were stratified by mFI-5 score which uses five ICD-10 codes: nonindependent functional status, hypertension, obstructive respiratory disease, heart failure, and diabetes mellitus. Cohorts were matched by age using propensity score matching. Outcome measures included survival, infection, pneumonia, tracheostomy dependence, and percutaneous endoscopic gastrostomy dependence. Reported odds ratios were normalized to mFI-5 = 0. RESULTS: A total of 9,081 patients were included in the final analysis. Greater mFI-5 scores predicted decreased survival and increased incidence of postoperative infection and pneumonia. Odds of 5-year mortality were 1.93 (p = 0.0003) for mFI-5 = 2 and 1.90 (p = 0.0002) for mFI-5 = 3. Odds of 2-year mortality were 1.25 (p = 0.0125) for mFI-5 = 1, 1.58 (p = 0.0002) for mFI-5 = 2, and 1.87 (p = 0.003) for mFI-5 = 3. Odds of postoperative infection were 1.51 (p = 0.02) for mFI-5 = 2 and 1.78 (p = 0.05) for mFI-5 = 3. Two-year odds of developing pneumonia were 1.69 (p = 0.0001) for mFI-5 = 2 and 2.84 (p < 0.0001) for mFI-5 = 3. Two-month odds of pneumonia were 1.50 (p = 0.0259) for mFI-5 = 2 and 2.55 (p = 0.0037) for mFI-5 = 3. mFI-5 = 4 or 5 had too few patients to analyze. Using polynomial regression to model age versus incident 5-year post-TORS death (R2 = 0.99), mFI-5 scores better predicted survival than age alone. CONCLUSION: This study demonstrates that mFI-5 predicts mortality, pneumonia, and postoperative infection independently of age. LEVEL OF EVIDENCE: 4 Laryngoscope, 2024.

The Academic Payvider Model: Care and Coverage.

The US health care system has significant room for growth to achieve the Quintuple Aim. Reforming the relationship between payers and providers is pivotal to enhancing value-based care (VBC). The Payvider model, a joint approach to care and coverage rooted in vertical integration, is a potential solution. The authors aimed to investigate academic medical institutions adopting this model, termed Academic Payviders. All Association of American Medical Colleges (AAMC)-member allopathic medical schools were evaluated to identify programs meeting the inclusion criteria of offering both medical care and insurance coverage to patients via partnership with a payer or ownership of, or by, a payer. Twenty-five Academic Payvider systems were identified from 171 total AAMC-member programs. Most programs were founded after 2009 (n = 20), utilized a provider-dominant structural model (n = 17), and offered health plans to patients via Medicare Advantage (n = 23). Passage of the Affordable Care Act, recent trends in health care consolidation, and increased political and financial prioritization of social determinants of health (SDOH) may help to explain the rise of this care and coverage model. The Academic Payvider movement could advance academic medicine toward greater acceptance of VBC via innovations in medical education, resource stewardship in residency, and the establishment of innovative leadership positions at the administrative level.

Integrating Choosing Wisely, Value-Based Care Principles, Into Undergraduate Medical Education: A Pilot Study.

BACKGROUND: Healthcare spending represents a large portion of the GDP of the United States. Value-based care (VBC) seeks to decrease waste in health care spending, yet this concept is insufficiently taught to medical students. The Choosing Wisely Students and Trainees Advocating for Resource Stewardship (STARS) campaign promotes initiatives that integrate knowledge of VBC into undergraduate medical education (UME). This study sought to determine the most effective strategy to educate medical students on key principles of VBC as taught by the STARS campaign. METHODS: Choosing Wisely principles were incorporated into the UME curriculum of an academic medical institution via the creation of eight new learning objectives (LOs) for case-based learning (CBL) sessions and lectures. Medical students completed an annual 10-question survey from 2019 to 2022 and 10 formal examination questions during the preclinical (years 1 and 2) curriculum after exposure to varying quantities of LOs. Pearson correlation, chi-square, and logistic regression were employed to determine the association between increased LOs in the curriculum and (1) campaign awareness and (2) knowledge of VBC principles. RESULTS: A total of 700 survey responses over a four-year period (2019 to 2022) were analyzed. Student awareness of the campaign and knowledge of VBC principles increased year over year during the survey period (39% to 92% and 64% to 74%, respectively). There were significant associations between increased LOs in the curriculum and (1) campaign awareness (0.828, p<0.0001) and (2) knowledge of VBC principles (0.934, p<0.001). Students also performed well on formal examination questions related to VBC principles (mean: 81.5% and mean discrimination index: 0.18). CONCLUSION: Integration of VBC-focused LOs is significantly associated with awareness of the Choosing Wisely STARS campaign and knowledge of VBC principles taught by the campaign. Collaborative initiatives to increase exposure to VBC education may improve students' knowledge of these principles during medical school.

Upper helical reconstruction during aesthetic facelift procedure: a case report.

We present a case of a two-stage reconstruction of a traumatic right upper helix deformity using a random pattern layover skin flap in conjunction with an aesthetic facelift procedure. This serves to encourage reconstructive surgeons to be mindful about seeking opportunities to address additional patient concerns when appropriate and safe.

Physician Burnout and Medical Errors: Exploring the Relationship, Cost, and Solutions.

Physician burnout has demonstrated risks to providers and patients through medical errors. This review aims to synthesize current data surrounding burnout and its impacts on quality to inform targeted interventions that benefit providers and patients. Preferred Reporting Items for Systematic Reviews and Meta-Analyses scoping review methodology was utilized to identify studies of quantitative metrics for burnout and medical errors. Three independent reviewers conducted screening, study selection, and data extraction. Of 1096 identified articles, 21 were analyzed. Overall, 80.9% used the Maslach Burnout Inventory to evaluate for burnout. Moreover, 71.4% used self-reported medical errors as their primary outcome measure. Other outcome measures included observed/identified clinical practice errors and medication errors. Ultimately, 14 of 21 studies found links between burnout and clinically significant errors. Significant associations exist between burnout and medical errors. Physician demographics, including psychological factors, well-being, and training level, modulate this relationship. Better metrics are necessary to quantify errors and their impacts on outcomes. These findings may inform novel interventions that target burnout and improve experiences.

Fat body phospholipid state dictates hunger-driven feeding behavior.

Diet-induced obesity leads to dysfunctional feeding behavior. However, the precise molecular nodes underlying diet-induced feeding motivation dysregulation are poorly understood. The fruit fly is a simple genetic model system yet displays significant evolutionary conservation to mammalian nutrient sensing and energy balance. Using a longitudinal high-sugar regime in Drosophila, we sought to address how diet-induced changes in adipocyte lipid composition regulate feeding behavior. We observed that subjecting adult Drosophila to a prolonged high-sugar diet degrades the hunger-driven feeding response. Lipidomics analysis reveals that longitudinal exposure to high-sugar diets significantly alters whole-body phospholipid profiles. By performing a systematic genetic screen for phospholipid enzymes in adult fly adipocytes, we identify Pect as a critical regulator of hunger-driven feeding. Pect is a rate-limiting enzyme in the phosphatidylethanolamine (PE) biosynthesis pathway and the fly ortholog of human PCYT2. We show that disrupting Pect activity only in the Drosophila fat cells causes insulin resistance, dysregulated lipoprotein delivery to the brain, and a loss of hunger-driven feeding. Previously human studies have noted a correlation between PCYT2/Pect levels and clinical obesity. Now, our unbiased studies in Drosophila provide causative evidence for adipocyte Pect function in metabolic homeostasis. Altogether, we have uncovered that PE phospholipid homeostasis regulates hunger response.

Accrual-Monitoring Practices for Various Disease Trials among AACI Member Cancer Centers.

Progress in the management of rare diseases, including rare cancers, is dependent upon clinical trials; however, as many as 32% of rare-disease trials go uncompleted or unpublished due to insufficient accrual. Monitoring practices may differ between institutions. We sought to survey the regulatory standards for various trial types among major U.S. cancer centers. A 10-question survey was designed using Qualtrics assessment software. The survey was sent via email to an internal server of member institutions of the Association of American Cancer Institutes (AACI). Of 103 AACI centers, 31% completed the survey (n = 32). Respondents differed in their definitions of a rare disease, minimum expectations for rare tumor studies, and frequency of accrual monitoring by their institutional Protocol Review and Monitoring Committee. Seventy-three percent of respondents did not close trials based on low accrual. Strategies to optimize accrual included investigator incentives for high accrual and penalties for low accrual in 37% and 13% of respondents, respectively.

For Profit, but Socially Determined: The Rise of the SDOH Industry.

Social determinants of health (SDOH) are the greatest predictors of one's health status. There are clear SDOH disparities present in the United States, many of which have been especially evident during the COVID pandemic. SDOH have become a greater focus of payers, including Centers for Medicare & Medicaid Services (CMS). CMS has updated the reimbursement structure of Medicare and Medicaid to incentivize more SDOH-related interventions. Providers are also growing increasingly attentive to the SDOH needs of their patients, but often are unable to sufficiently address them outside of care settings. The combination of increased SDOH funding with inefficient mechanisms to meet patients' SDOH needs has led to the emergence of the for-profit SDOH industry. The purpose of this paper was to investigate the industry and identify its size, scope, and future implications. The authors conducted an analysis of for-profit SDOH companies using a third-party industry research platform. A collection of 58 companies was identified with $2.4 billion in funding and a total valuation of over $18.5 billion as of July, 2021. Two literature searches were conducted to support strategy recommendations for critically evaluating SDOH outcomes from these companies, and to determine the downstream effects they will have on community-based organizations also working to improve SDOH.

Cortex cis-regulatory switches establish scale colour identity and pattern diversity in Heliconius.

In Heliconius butterflies, wing colour pattern diversity and scale types are controlled by a few genes of large effect that regulate colour pattern switches between morphs and species across a large mimetic radiation. One of these genes, cortex, has been repeatedly associated with colour pattern evolution in butterflies. Here we carried out CRISPR knockouts in multiple Heliconius species and show that cortex is a major determinant of scale cell identity. Chromatin accessibility profiling and introgression scans identified cis-regulatory regions associated with discrete phenotypic switches. CRISPR perturbation of these regions in black hindwing genotypes recreated a yellow bar, revealing their spatially limited activity. In the H. melpomene/timareta lineage, the candidate CRE from yellow-barred phenotype morphs is interrupted by a transposable element, suggesting that cis-regulatory structural variation underlies these mimetic adaptations. Our work shows that cortex functionally controls scale colour fate and that its cis-regulatory regions control a phenotypic switch in a modular and pattern-specific fashion.

Heliconius butterflies have bright patterns on their wings that tell potential predators that they are toxic. As a result, predators learn to avoid eating them. Over time, unrelated species of butterflies have evolved similar patterns to avoid predation through a process known as Müllerian mimicry. Worldwide, there are over 180,000 species of butterflies and moths, most of which have different wing patterns. How do genes create this pattern diversity? And do butterflies use similar genes to create similar wing patterns? One of the genes involved in creating wing patterns is called cortex. This gene has a large region of DNA around it that does not code for proteins, but instead, controls whether cortex is on or off in different parts of the wing. Changes in this non-coding region can act like switches, turning regions of the wing into different colours and creating complex patterns, but it is unclear how these switches have evolved. Butterfly wings get their colour from tiny structures called scales, which each have their own unique set of pigments. In Heliconius butterflies, there are three types of scales: yellow/white scales, black scales, and red/orange/brown scales. Livraghi et al. used a DNA editing technique called CRISPR to find out whether the cortex gene affects scale type. First, Livraghi et al. confirmed that deleting cortex turned black and red scales yellow. Next, they used the same technique to manipulate the non-coding DNA around the cortex gene to see the effect on the wing pattern. This manipulation turned a black-winged butterfly into a butterfly with a yellow wing band, a pattern that occurs naturally in Heliconius butterflies. The next step was to find the mutation responsible for the appearance of yellow wing bands in nature. It turns out that a bit of extra genetic code, derived from so-called 'jumping genes', had inserted itself into the non-coding DNA around the cortex gene, 'flipping' the switch and leading to the appearance of the yellow scales. Genetic information contains the instructions to generate shape and form in most organisms. These instructions evolve over millions of years, creating everything from bacteria to blue whales. Butterfly wings are visual evidence of evolution, but the way their genes create new patterns isn't specific to butterflies. Understanding wing patterns can help researchers to learn how genetic switches control diversity across other species too.

Caloric restriction following early-life high fat-diet feeding represses skeletal muscle TNF in male rats.

Chronic metabolic diseases are on the rise worldwide and their etiology is multifactorial. Among them, inflammatory components like Tumor Necrosis Factor (TNF), contribute to whole-body metabolic impairment. Caloric Restriction (CR) combats metabolic diseases, but how it reduces inflammation remains understudied. We aimed to evaluate the impact of chronic CR on muscle inflammation, in particular TNF. In our study, 4-week old male Sprague-Dawley rats were fed a high-fat diet (HF, 45% Kcal of fat from lard) ad libitum for 3 months. After estimation of their energy requirement (1 month), they were then divided into three groups: HF ad libitum (OL), weight maintenance with AIN93M (9.5% Kcal from fat; ML, 100% of energy requirement), and caloric restriction (CR, AIN93M with 75% of energy requirement). This dietary intervention continued for six months. At this point, rats were sacrificed and gastrocnemius muscle was collected. CR induced a profound shift in fat and lean mass, and decreased growth factor IGF-1. Muscle qPCR analysis showed a marked decrease in inflammation and TNF (premRNA, mRNA, and protein) by CR, accompanied by Tnf promoter DNA hypermethylation. CR increased expression of histone deacetylase Sirt6 and decreased methyltransferase Suv39h1, together with decreased Tnf promoter and coding region binding of NF- κB and C/EBP-ß. Following miRNA database mining, qPCR analysis revealed that CR downregulated the proinflammatory miR-19b and increased the anti-inflammatory miR-181a and its known targets. Chronic CR is able to regulate muscle-specific inflammation by targeting the NF-κB pathway as well as transcriptional and post-transcriptional regulation of Tnf gene.

Model for Mitigation of Workplace Transmission of COVID-19 Through Population-Based Testing and Surveillance.

The coronavirus disease-2019 (COVID-19) pandemic is having a widespread impact on societies across the globe. As part of the effort to control transmission in the United States, many businesses either closed or instituted nonpharmaceutical control measures and allowed only essential workers on-site. During summer and fall of 2020, employers began formulating "return to work" strategies designed to mitigate the risk of transmission among employees. On a population level, several countries implemented national testing and surveillance strategies that proved effective in mitigating citizen-to-citizen transmission and contributed to suppressing COVID-19. A crucial component of many such strategies is population-based testing to identify and engage individuals with asymptomatic or presymptomatic infection, which also is relevant to return-to-work strategies. The authors describe an approach that multisite employers might use to help mitigate transmission of COVID-19 in the workplace. This approach leverages a bioinformatics platform informed by real-time PCR test data at the county and subcounty (eg, Public Use Microdata Area) level, allowing for population-based testing to be selectively targeted for employees in geographies with elevated SARS-CoV-2 positivity. A "Command Center" application integrates data from multiple sources (eg, local infection trends, employee symptom diaries, Bluetooth thermometers) in real time, which can be used to inform decisions regarding surveillance and employee self-isolation or quarantine; a mobile phone-based application provides for rapid, secure communication with employees. This overview is based on peer-reviewed literature and the early experience of a large employer with implementing bioinformatics tools to mitigate the impact of the pandemic on the workplace.

Return to Work: Managing Employee Population Health During the COVID-19 Pandemic.

Coronavirus disease-2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has abruptly transformed the outlook of employer health benefits plans for 2020 and 2021. Containing the spread of the virus and facilitating care of those infected have quickly emerged as immediate priorities. Employers have adjusted health benefits coverage to make COVID-19 testing and treatment accessible and remove barriers to care in order to facilitate the containment of the disease. Employers also are introducing strategies focused on testing, surveillance, workplace modifications, and hygiene to keep workforces healthy and workplaces safe. This paper is intended to provide evidence-based perspectives for self-insured employers for managing population health during the COVID-19 pandemic. Such considerations include (1) return to work practices focused on mitigating the spread of COVID-19 through safety practices, testing and surveillance; and (2) anticipating the impact of COVID-19 on health benefits and costs (including adaptations in delivery of care, social and behavioral health needs, and managing interrupted care for chronic conditions).