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Background: There is controversy on whether allergic contact dermatitis (ACD) is associated with atopy. Research on eczema and the risk of ACD is mixed, and there is sparse literature on other atopic conditions. Objective: Our study examined the prevalence of several atopic conditions, including allergic rhinitis, eczema, asthma, and food allergies in patients with ACD, and compared these to patients without ACD. Methods: We retrospectively reviewed adult patients ages ≥ 18 years with ACD (n = 162) with positive patch testing results and documented any history of atopy, including childhood eczema, asthma, allergic rhinitis, and immunoglobulin E-mediated food allergy. The prevalence of atopic conditions was compared between our ACD cohort and controls without ACD (n = 163) from our electronic medical records system (age and gender matched). Results: Among our patients with ACD, 53 (33%) had allergic rhinitis, 22 (14%) had childhood eczema, 32 (20%) had asthma, and 8 (5%) had food allergies. We observed that the odds of atopy overall (n = 76) in the ACD group compared with the control group were increased (odds ratio [OR] 1.88; p = 0.007). Allergic rhinitis was the highest risk factor (n = 53) with an OR of 12.64 (p < 0.001). Childhood eczema (n = 22) was also increased in the ACD group (OR 2.4; p = 0.026). The odds of asthma and food allergy in the ACD group were also increased; however, the difference was not statistically significant from the control group (OR 1.76 [p = 0.071] and OR 2.76 [p = 0.139], respectively). Conclusion: Patients with ACD had increased odds of eczema, allergic rhinitis, and atopic conditions overall. Asthma and food allergies were not found to have a statistically significant correlation. Larger studies that delve into atopic risk factors in ACD would be important to confirm these findings.

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BACKGROUND: Recent Food and Drug Administration approvals of glucagon-like peptide 1 (GLP-1) receptor agonists linked to substantial weight loss have generated interest in demand projections. However, a longitudinal analysis in a large, diverse, current, real-world database has not been published. OBJECTIVES: The study objective was to determine user frequency of GLP-1 receptor agonist products overall and by type 2 diabetes (T2D), cardiovascular disease (CVD), and overweight or obese status. Secondary objective was monthly growth rate estimation by product since first appearance in University of California Health. METHODS: This retrospective cohort study included patients who were dispensed a GLP-1 receptor agonist from 2014 to 2022 in the University of California Health Data Warehouse. Exponential growth rates were estimated using a log-linear regression model. RESULTS: Between 2014 and 2018, only Trulicity and Victoza exceeded 5000 annual users. Ozempic users increased from 569 in 2019 to 7667 in 2020. Use accelerated with more than 13,310 users in 2021 to surpass Trulicity. Ozempic count was 22,891 in 2022. Wegovy rose from 989 in 2021 to 2992 in 2022. Mounjaro increased to 1508 users in 2022. Although generally similar trends were observed for T2D, CVD, and overweight or obese subgroups, the ascent of Ozempic as most frequently used was more apparent in the overweight or obese group. The monthly growth rates were 83.9% for Ozempic, 119.2% for Wegovy, 84.8% for Rybelsus, 53.3% for Saxenda, 12.9% for Adlyxin, 78.8% for Trulicity, and 254.3% for Mounjaro. CONCLUSION: This first cohort study of weight loss-associated GLP-1 receptor agonists in a large, diverse, state-wide health system demonstrated a rapid increased use that represents a clear and likely durable transition in utilization for this category. Informed decision making and longitudinal studies are needed to ensure evidence-concordant prescribing and supply stability.

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Although epinephrine autoinjectors (EAIs) are crucial for the management of anaphylaxis, patient carriage frequency of EAI is as low as 57% and usage of EAIs is erroneous 35%-43% of the time. Our objective was to improve patient carrying frequency of EAI and understanding of EAI usage.We implemented a quality improvement initiative using consistent closed-loop education, redesigned clinic workflow, electronic medical record reminder-based interventions, and educational materials to improve patient EAI carriage compliance and understanding of EAI indications and proper technique.The percentage of our patients who carried the EAI at all times increased from 55% to 93% in 6 months. Participants knowledge of EAI indications also improved from 22% to 91%. Patient demonstration scores of the EAI device improved from 21% to 91% as well.Our quality improvement interventions demonstrated a significant improvement>80% in EAI carriage frequency, knowledge of indications, and proper device technique.

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Background: Understanding medication use patterns for patients with COVID-19 will provide needed insight into the evolution of COVID-19 treatment over the course of the SARS-CoV-2 pandemic and aid clinical management considerations. Objectives: To systematically determine most frequently used medications among COVID-19 patients overall and by hospitalization status. Secondary objective was use measurement of medications considered potential therapeutic options. Methods: Retrospective cohort study was performed using data from the University of California COVID Research Data Set (UC CORDS) patients between March 10, 2020, and December 31, 2020. Main outcomes were percentages of patients prescribed medications, overall, by age group, and by comorbidity based on hospitalization status for COVID-19 patients. Use percentage by month of COVID-19 diagnosis was measured. Cumulative count of potential therapeutic options was measured over time. Results: Dataset included 22 896 unique patients with COVID-19 (mean [SD] age, 42.4 [20.4] years; 12 154 [53%] women). Most frequently used medications in patients overall were acetaminophen (21.2%), albuterol (14.9%), ondansetron (13.9%), and enoxaparin (10.8%). Dexamethasone use increased from fewer than 50 total hospitalized patients through April who had received the medication, to more than 500 patients by mid-August. Cumulative count of enoxaparin users was the largest throughout the study period. Conclusion and Relevance: In this retrospective cohort study, across age and comorbidity groups, predominant utilization was for supportive care therapy. Dexamethasone and remdesivir experienced large increases in use. Conversely, hydroxychloroquine and azithromycin use markedly dropped. Medication utilization rapidly shifted toward more evidence-concordant treatment of patients with COVID-19 as rigorous study findings emerged.

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INTRODUCTION: Participant retention is important to maintaining statistical power, minimizing bias, and preventing scientific error in Alzheimer disease and related dementias research. METHODS: We surveyed representative investigators from NIH-funded Alzheimer's Disease Research Centers (ADRC), querying their use of retention tactics across 12 strategies. We compared survey results to data from the National Alzheimer's Coordinating Center for each center. We used a generalized estimating equation with independent working covariance model and empirical standard errors to assess relationships between survey results and rates of retention, controlling for participant characteristics. RESULTS: Twenty-five (83%) responding ADRCs employed an average 42 (SD=7) retention tactics. In a multivariable model that accounted for participant characteristics, the number of retention tactics used by a center was associated with participant retention (odds ratio=1.68, 95% confidence interval: 1.42, 1.98; P<0.001 for the middle compared with the lowest tertile survey scores; odds ratio=1.59, 95% confidence interval: 1.30, 1.94; P<0.001 for the highest compared with the lowest tertile survey scores) at the first follow-up visit. Participant characteristics such as normal cognition diagnosis, older age, higher education, and Caucasian race were also associated with higher retention. CONCLUSIONS: Retention in clinical research is more likely to be achieved by employing a variety of tactics.

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