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Purpose: We present an analysis of various operational metrics for a novel compact proton therapy system, including clinical case mix, subsystems utilization, and quality assurance trends in beam delivery parameters over a period of 5 years. Materials and Methods: Patient-specific data from a total of 850 patients (25,567 fractions) have been collected and analyzed. The patient mix include a variety of simple, intermediate, and complex cases. Beam-specific delivery parameters for a total of 3585 beams were analyzed. In-room imaging system usage for off-line adaptive purpose is reported. We also report key machine performances metrics based on routine quality assurance in addition to uptime. Results: Our analysis shows that system subcomponents including gantry and patient positioning system have maintained a tight mechanical tolerance over the 5-year period. Various beam parameters were all within acceptable tolerances with no clear trends. Utilization frequency histograms of gantry and patient positioning system show that only a small fraction of all available angles was used for patient deliveries with cardinal angels as the most usable. Similarly, beam-specific metrics, such as range, modulation, and air gaps, were clustered unevenly over the available range indicating that this compact system was more than capable to treat the complex variety of tumors of our patient mix. Conclusion: Our data show that this compact system is versatile, robust, and capable of delivering complex treatments like a large full-gantry system. Utilization data show that a fraction of all subcomponents range of angular motion has been used. Compilation of beam-specific metrics, such as range and modulation, show uneven distributions with specific clustering over the entire usable range. Our findings could be used to further optimize the performance and cost-effectiveness of future compact proton systems.
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OBJECTIVE: To investigate how common modifiable exposures, including dietary factors, select toxicants, and anti-inflammatory medications, may affect Parkinson's disease. METHODS: Using surveys, a case-control study was conducted at a medical center, comparing Parkinson's disease patients (N = 149) and healthy controls (N = 105). Subjects reported exposure to red meats, vegetables, alcohol, tobacco, anti-inflammatory medications, and pesticides. The relationship between exposures and Parkinson's disease diagnosis was analyzed by logistic regression to generate odds ratio and 95% confidence interval. RESULTS: Consuming red meat "sometimes" or "always" was positively associated with Parkinson's disease as compared to eating red meats "rarely" or "never"; (odds ratio = 2.15, 95% confidence interval = 1.06, 4.39; p = 0.03) and (odds ratio = 4.47, 95% confidence interval = 1.67, 11.94; p = 0.003), respectively. Exposure to pesticides showed a positive association with Parkinson's disease (odds ratio = 2.84, 95% confidence interval = 1.34, 6.00; p = 0.007). "Always" use of aspirin was inversely associated with Parkinson's disease (odds ratio = 0.32, 95% confidence interval = 0.14, 0.70; p = 0.004). "Ever" having used anti-histamines was inversely associated with Parkinson's disease (odds ratio = 0.37, 95% confidence interval = 0.17, 0.81; p = 0.01). DISCUSSION: Our study suggests that there are modifiable external factors that are associated with Parkinson's disease. The present study can thus assist clinicians, policy makers, and people living with Parkinson's disease in improving the experience and management of Parkinson's disease.
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Doença de Parkinson , Praguicidas , Humanos , Estudos de Casos e Controles , Doença de Parkinson/tratamento farmacológico , Doença de Parkinson/complicações , Fatores de Risco , Razão de Chances , Anti-InflamatóriosRESUMO
The COVID-19 pandemic caused a large strain on the US medical system, with shortage of medical personnel being a key issue. The role of medical school students during a pandemic is not well established. Understanding the perspectives of medical students with regard to their role is essential in determining how to facilitate the use of their skills in combating the pandemic. To evaluate medical student perspectives on the COVID-19 pandemic, an anonymous online survey was distributed to medical students, primarily in the Northeastern United States. In the sample of 232 students, there were significant differences between students in different class years when assessing moral obligations to assist with the COVID-19 pandemic (p = 0.002). A higher percentage of first and second year medical students (pre-clinical training, around 48%) felt that healthcare students are morally obligated to assist as compared to third and fourth year students (clinical training, 30.43% of third years and 23.19% of fourth years). In all class years, the majority said they would regret their decision if they had chosen not to study medicine (62.32% to 79.31%) and most students did not feel their motivation to become a physician had been decreased (84.78% to 87.50%). Though the study was limited because the majority of subjects were from New York, the results provide insight into medical students' attitudes about the COVID-19 pandemic and can be used in the planning of how best to utilize medical students in this and in future situations. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s40670-021-01374-z.
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BACKGROUND: COVID-19 has quickly spread throughout the world, necessitating assessment of effective containment methods. The purpose of this study was to examine the impact of government mandated school closures, stay at home orders and mask requirements METHODS: Cumulative incidence rates were calculated at 14-day intervals until the day of the first vaccine administration in the country. Rate ratios were calculated using negative binomial regression while investigating the effects of adjusting for several sociodemographic and medical factors RESULTS: Faster implementation of mask mandates was consistently shown to be protective. States with mask mandates made at three to six months had a 1.61 times higher rate than those who implemented within one month (adjusted rate ratioâ¯=â¯1.61, 95% confidence interval: 1.23-2.10, P = .001). States with mask mandates made after 6 months or with no mandate had a 2.16 times higher rate than those who implemented within 1 month (adjusted rate ratioâ¯=â¯2.16, 95% confidence interval: 1.64-2.88, P < .0001). In contrast, both stay at home orders and school closures had no significant influence on disease trajectory. DISCUSSION: The benefits of mask mandates are apparent, especially when mandates were issued within a month. The impact of school closing and stay at home orders were less clear. CONCLUSIONS: Our results suggest that of the different physical distancing measures implemented by the government, mask mandates are the most important.
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COVID-19 , Pandemias , Humanos , SARS-CoV-2 , Instituições Acadêmicas , Estados Unidos , VacinaçãoRESUMO
Growth hormone (GH) has long been known to stimulate lipolysis and insulin resistance; however, the molecular mechanisms underlying these effects are unknown. In the present study, we demonstrate that GH acutely induces lipolysis in cultured adipocytes. This effect is secondary to the reduced expression of a negative regulator of lipolysis, fat-specific protein 27 (FSP27; aka Cidec) at both the mRNA and protein levels. These effects are mimicked in vivo as transgenic overexpression of GH leads to a reduction of FSP27 expression. Mechanistically, we show GH modulation of FSP27 expression is mediated through activation of both MEK/ERK- and STAT5-dependent intracellular signaling. These two molecular pathways interact to differentially manipulate peroxisome proliferator-activated receptor gamma activity (PPARγ) on the FSP27 promoter. Furthermore, overexpression of FSP27 is sufficient to fully suppress GH-induced lipolysis and insulin resistance in cultured adipocytes. Taken together, these data decipher a molecular mechanism by which GH acutely regulates lipolysis and insulin resistance in adipocytes.
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Adipócitos/metabolismo , Hormônio do Crescimento/fisiologia , Lipólise , Proteínas/metabolismo , Células 3T3-L1 , Animais , Regulação da Expressão Gênica , Sistema de Sinalização das MAP Quinases , Camundongos , PPAR gama/metabolismo , Fator de Transcrição STAT5/metabolismoRESUMO
The study aim was to evaluate the association between genetics referrals, training in medical school, residency, or continuing medical education and physician knowledge of hereditary breast and ovarian cancer (HBOC). A survey of 55 questions was administered to 140 physicians evaluating knowledge and practice patterns regarding HBOC. Physicians with genetics training during residency were more likely to recognize that most instances of ovarian cancer are not hereditary (odds ratio (OR) = 3.16; 95 % confidence interval (CI) 1.32, 7.58). Physicians with continuing medical education (CME) training on genetics were more likely to identify that screening can be improved for those with a hereditary mutation (OR = 4.28; 95 % CI 1.32, 13.90). Primary care physicians who frequently referred for genetics were more likely to recognize that maternal history is not more important than paternal history (OR = 2.51; 95 % CI 1.11, 5.66), that screening can be improved for those with hereditary risk (OR = 4.06; 95 % CI 1.08, 15.22), and that females with a hereditary breast cancer risk would have different recommendations for screening than someone without this risk (OR = 4.91; 95 % CI 1.04, 23.25). Our data suggest that training and frequency of genetics referrals may be associated with knowledge of general risk assessment for HBOC.