ABSTRACT
Background/Objective: The University of Illinois at Chicago (UIC), along with many academic institutions worldwide, made significant efforts to address the many challenges presented during the COVID-19 pandemic by developing clinical staging and predictive models. Data from patients with a clinical encounter at UIC from July 1, 2019 to March 30, 2022 were abstracted from the electronic health record and stored in the UIC Center for Clinical and Translational Science Clinical Research Data Warehouse, prior to data analysis. While we saw some success, there were many failures along the way. For this paper, we wanted to discuss some of these obstacles and many of the lessons learned from the journey. Methods: Principle investigators, research staff, and other project team members were invited to complete an anonymous Qualtrics survey to reflect on the project. The survey included open-ended questions centering on participants' opinions about the project, including whether project goals were met, project successes, project failures, and areas that could have been improved. We then identified themes among the results. Results: Nine project team members (out of 30 members contacted) completed the survey. The responders were anonymous. The survey responses were grouped into four key themes: Collaboration, Infrastructure, Data Acquisition/Validation, and Model Building. Conclusion: Through our COVID-19 research efforts, the team learned about our strengths and deficiencies. We continue to work to improve our research and data translation capabilities.
ABSTRACT
BACKGROUND: In the United States, the rates of primary and secondary syphilis have increased more rapidly among men who have sex with men (MSM) than among any other subpopulation. Rising syphilis rates among MSM reflect changes in both individual behaviors and the role of sexual networks (eg, persons linked directly or indirectly by sexual contact) in the spread of the infection. Decades of research examined how sexual networks influence sexually transmitted infections (STIs) among MSM; however, few longitudinal data sources focusing on syphilis have collected network characteristics. The Centers for Disease Control and Prevention, in collaboration with 3 sites, enrolled a prospective cohort of MSM in 3 US cities to longitudinally study sexual behaviors and STIs, including HIV, for up to 24 months. OBJECTIVE: The Network Epidemiology of Syphilis Transmission (NEST) study aimed to collect data on the factors related to syphilis transmission and acquisition among MSM. METHODS: The NEST study was a prospective cohort study that enrolled 748 MSM in Baltimore, Maryland; Chicago, Illinois; and Columbus, Ohio. NEST recruitment used a combination of convenience sampling, venue-based recruitment, and respondent-driven sampling approaches. At quarterly visits, participants completed a behavioral questionnaire and were tested for syphilis, HIV, gonorrhea, and chlamydia. The participants also provided a list of their sexual partners and described their 3 most recent partners in greater detail. RESULTS: The NEST participants were enrolled in the study from July 2018 to December 2021. At baseline, the mean age of the participants was 31.5 (SD 9.1) years. More than half (396/727. 54.5%) of the participants were non-Hispanic Black, 29.8% (217/727) were non-Hispanic White, and 8.8% (64/727) were Hispanic or Latino. Multiple recruitment strategies across the 3 study locations, including respondent-driven sampling, clinic referrals, flyers, and social media advertisements, strengthened NEST participation. Upon the completion of follow-up visits in March 2022, the mean number of visits per participant was 5.1 (SD 3.2; range 1-9) in Baltimore, 2.2 (SD 1.6; range 1-8) in Chicago, and 7.2 (SD 2.9; range 1-9) in Columbus. Using a community-based participatory research approach, site-specific staff were able to draw upon collaborations with local communities to address stigma concerning STIs, particularly syphilis, among potential NEST participants. Community-led efforts also provided a forum for staff to describe the NEST study objectives and plans for research dissemination to the target audience. Strategies to bolster data collection during the COVID-19 pandemic included telehealth visits (all sites) and adaptation to self-collection of STI specimens (Baltimore only). CONCLUSIONS: Data from NEST will be used to address important questions regarding individual and partnership-based sexual risk behaviors among MSM, with the goal of informing interventions to prevent syphilis in high-burden areas. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR1-10.2196/40095.
ABSTRACT
BACKGROUND: Despite coronavirus disease 2019 (COVID-19) vaccination efforts, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infections in vaccinated individuals ("breakthrough SARS-CoV-2 infections") have emerged. Our understanding of breakthrough SARS-CoV-2 infections continues to evolve, and there is a paucity of information describing severe breakthrough SARS-CoV-2 infections. We conducted this study with the aim of describing breakthrough SARS-CoV-2 infections requiring hospitalization and exploring factors associated with severe breakthrough infection. METHODS: The study included patients within our health network who received at least one dose of a messenger RNA (mRNA) COVID-19 vaccine and required hospitalization due to breakthrough SARS-CoV-2 infection from January 1 to August 15, 2021. We performed a descriptive analysis of vaccinated patients requiring hospitalization. Multivariable logistic regression (LR) analysis was performed to explore factors associated with severe breakthrough infection. RESULTS: Out of 67,223 vaccinated individuals, 78 (0.12%) patients were hospitalized with breakthrough SARS-CoV-2 infection, of which 25 individuals (0.04% of those vaccinated, and 32% of all hospitalized) developed severe infection. The mean age of those with breakthrough infection was 72 years, the majority were White (60%), and dyspnea was the most common reason for hospital admission (53%), with bimodal peaks of hospitalization in January-February (40%) and July-August (34%). In LR analysis, male patients had 4.03 times the odds of developing severe SARS-CoV-2 infection than female patients (adjusted odds ratio (aOR): 4.03, 95% confidence interval (CI): 1.21 - 13.40), and an immunocompromising condition had 6.32 times the odds of developing severe COVID-19 disease (aOR: 6.32, 95% CI: 1.48 - 26.18). CONCLUSIONS: The rate of severe breakthrough SARS-CoV-2 infection was very low, and male sex and immunocompromising conditions were associated with severe breakthrough infection. Clinicians and health systems should continue to campaign for COVID-19 vaccination aggressively.