Tranexamic acid for angiotensin converting enzyme inhibitor induced angioedema: A retrospective multicenter study.

BACKGROUND: Angiotensin converting enzyme inhibitors (ACE-Is) prevent the breakdown of bradykinin and can lead to life threatening angioedema. Tranexamic acid is an antifibrinolytic that inhibits formation of precursors involved in bradykinin synthesis and, in case reports, has been described as a potential treatment for ACE-I angioedema. METHODS: This retrospective study included patients who presented to the emergency department (ED) from January 2018 to August 2021 with angioedema while taking an ACE-I. Patients who received tranexamic acid (treatment group) were compared with patients who did not receive tranexamic acid (control group). Primary outcome was length of stay (LOS). Secondary outcomes evaluated included ICU admissions, intubations, and safety events. RESULTS: A total of 262 patients were included in this study (73 treatment; 189 control). Overall, the median ED LOS was longer in the treatment group than controls (20.9 h vs 4.8 h, p < 0.001). ICU admission rates were higher in the treatment group (45% vs 16%, p < 0.001). More patients were intubated in the treatment group (12% vs 3%, p = 0.018). No difference was seen between the treatment group and the controls for return within 7 days, complications related to thrombosis, and death. In patients presenting with severe angioedema symptoms who were admitted to the hospital, median LOS was not different between the two groups (58.7 h vs 55.7 h, p = 0.61). CONCLUSIONS: Patients who received tranexamic acid had increased ED LOS, rates of ICU admission, and need for intubation. This finding may be related to the severity of presentation. Administration of tranexamic acid appears safe to use in ACE-I angioedema. Prospective randomized controlled studies should be considered to determine whether tranexamic acid is an effective treatment for ACE-I angioedema.

SilverCloud mental health feasibility study: who will it benefit the most?

Introduction: This study examines the feasibility of SilverCloud therapy for anxiety and/or depression. Findings may help determine SilverCloud effectiveness based on patients' profiles. Methods: Participants were randomly assigned to the immediate or later therapy groups. GAD-7, PHQ-9, and WHO-5 scores were measured at baseline and pre/post therapy. A mixed-methods approach was used. Results: GAD-7, PHQ-9, and WHO-5 scores improved significantly from pre- to post-therapy (p<0.05) for social, behavioral, and economic reasons for anxiety and/or depression. Conclusions: This SilverCloud study shows feasibility for participants who had moderate to severe anxiety and/or depression due to social, behavioral, or economic reasons.

Exploring the influence of behavioral factors on depression and anxiety scores during the COVID-19 pandemic: insights from the Virginia statewide COVIDsmart longitudinal study.

BACKGROUND: Amidst the COVID-19 pandemic, there has been growing concern about the declining mental health and healthy behaviors compared to pre-pandemic levels. Despite this, there is a lack of longitudinal studies that have examined the relationship between health behaviors and mental health during the pandemic. In response, the statewide COVIDsmart longitudinal study was launched. The study's main objective is to better understand the effects of the pandemic on mental health. Findings may provide a foundation for the identification of public health strategies to mitigate future negative impacts of the pandemic. METHODS: Following online recruitment in spring of 2021, adults, ages 18 to 87, filled out social, mental, economic, occupational, and physical health questionnaires on the digital COVIDsmart platform at baseline and through six monthly follow-ups. Changes in the participant's four health behaviors (e.g., tobacco and alcohol consumption, physical activity, and social media use), along with sex, age, loneliness score, and reported social and economic (SE) hardships, were analyzed for within-between group associations with depression and anxiety scores using Mixed Models Repeated Measures. RESULTS: In this study, of the 669 individuals who reported, the within-between group analysis indicated that younger adults (F = 23.81, p < 0.0001), loneliness (F = 234.60, p < 0.0001), SE hardships (F = 31.25, p < 0.0001), increased tobacco use (F = 3.05, p = 0.036), decreased physical activity (F = 6.88, p = 0.0002), and both positive and negative changes in social media use (F = 7.22, p = 0.0001) were significantly associated with worse depression scores. Additionally, females (F = 6.01, p = 0.015), younger adults (F = 32.30, p < 0.0001), loneliness (F = 154.59, p < 0.0001), SE hardships (F = 22.13, p < 0.0001), increased tobacco use (F = 4.87, p = 0.004), and both positive and negative changes in social media use (F = 3.51, p = 0.016) were significantly associated with worse anxiety scores. However, no significant changes were observed in the within-between group measurements of depression and anxiety scores over time (p > 0.05). Physical activity was not associated with anxiety nor was alcohol consumption with both depression and anxiety (p > 0.05). CONCLUSIONS: This study demonstrates the longitudinal changes in behaviors within the context of the COVID-19 pandemic. These findings may facilitate the design of preventative population-based health approaches during the COVID-19 pandemic or future pandemics.

Evaluating the Impact of a Medical School Student-Run Research Organization on Scholarly Activity.

Introduction The United States Medical Licensing Examination Step 1 change to Pass/Fail scoring has motivated medical students to pursue more research opportunities. To support students, a student-led organization was created at an allopathic medical school, offering initiatives such as workshops, mentorship, and research projects. Here, we evaluate its impact on medical student research. Methods An observational survey study was conducted to assess students' research involvement and productivity and their sense of support, confidence, and comfort in pursuing research at an institution during the first two years of medical school. These variables were compared between three contiguous classes of students and between club members and non-members. Analyses included t-tests, Chi-square tests, and ANOVA, among others. Results Findings revealed that organization membership was associated with an increased number of research projects. Club members (M= 4.49) reported a significantly greater number of projects compared to non-members (M= 4.49) (p= 0.002). Students who had access to the organization during their preclinical years (M= 4.38) reported significantly more projects compared to students whose preclinical years were before the organization's conception (M= 2.21) (p= 0.041). However, research productivity and feelings of support and confidence in research did not differ by class or club membership.  Conclusions Club members engaged in a greater number of research projects as compared to non-members and students who had access to the organization during their preclinical years. The implementation of similar organizations at every medical school can allow more students to engage in scholarly work.

A Digital Health Initiative (COVIDsmart) for Remote Data Collection and Study of COVID-19's Impact on the State of Virginia: Prospective Cohort Study.

BACKGROUND: The COVID-19 pandemic has affected people's lives beyond severe and long-term physical health symptoms. Social distancing and quarantine have led to adverse mental health outcomes. COVID-19-induced economic setbacks have also likely exacerbated the psychological distress affecting broader aspects of physical and mental well-being. Remote digital health studies can provide information about the pandemic's socioeconomic, mental, and physical impact. COVIDsmart was a collaborative effort to deploy a complex digital health research study to understand the impact of the pandemic on diverse populations. We describe how digital tools were used to capture the effects of the pandemic on the overall well-being of diverse communities across large geographical areas within the state of Virginia. OBJECTIVE: The aim is to describe the digital recruitment strategies and data collection tools applied in the COVIDsmart study and share the preliminary study results. METHODS: COVIDsmart conducted digital recruitment, e-Consent, and survey collection through a Health Insurance Portability and Accountability Act-compliant digital health platform. This is an alternative to the traditional in-person recruitment and onboarding method used for studies. Participants in Virginia were actively recruited over 3 months using widespread digital marketing strategies. Six months of data were collected remotely on participant demographics, COVID-19 clinical parameters, health perceptions, mental and physical health, resilience, vaccination status, education or work functioning, social or family functioning, and economic impact. Data were collected using validated questionnaires or surveys, completed in a cyclical fashion and reviewed by an expert panel. To retain a high level of engagement throughout the study, participants were incentivized to stay enrolled and complete more surveys to further their chances of receiving a monthly gift card and one of multiple grand prizes. RESULTS: Virtual recruitment demonstrated relatively high rates of interest in Virginia (N=3737), and 782 (21.1%) consented to participate in the study. The most successful recruitment technique was the effective use of newsletters or emails (n=326, 41.7%). The primary reason for contributing as a study participant was advancing research (n=625, 79.9%), followed by the need to give back to their community (n=507, 64.8%). Incentives were only reported as a reason among 21% (n=164) of the consented participants. Overall, the primary reason for contributing as a study participant was attributed to altruism at 88.6% (n=693). CONCLUSIONS: The COVID-19 pandemic has accelerated the need for digital transformation in research. COVIDsmart is a statewide prospective cohort to study the impact of COVID-19 on Virginians' social, physical, and mental health. The study design, project management, and collaborative efforts led to the development of effective digital recruitment, enrollment, and data collection strategies to evaluate the pandemic's effects on a large, diverse population. These findings may inform effective recruitment techniques across diverse communities and participants' interest in remote digital health studies.