Look before you LEEP: patient reported pain with IV sedation vs local analgesia

Objective: Examine the effectiveness of IV sedation in addition local analgesia compared to local analgesia alone for LEEP pain management. Methods: This quality improvement project surveyed 89 patients who underwent a LEEP procedure: 26 in the local only group and 63 in the IV + local group. Patients completed a visual analog scale and pain survey immediately following their LEEP. Results: The local analgesia + IV sedation group reported a lower average pain score compared to the local analgesia only group (2.4 ± 2.2 v 3.6 ± 2.7). However, this was not statistically significant, p 0.47. Patients found it was helpful to know what to expect prior to the LEEP and utilized various means of pain relief in addition to the primary treatments assessed. Conclusions: There is a need for high quality trials to determine best practices of pain management

A REDCap-based model for electronic consent (eConsent): Moving toward a more personalized consent

Introduction: The updated common rule, for human subjects research, requires that consents begin with a \u27concise and focused\u27 presentation of the key information that will most likely help someone make a decision about whether to participate in a study (Menikoff, Kaneshiro, Pritchard. The New England Journal of Medicine. 2017; 376(7): 613-615.). We utilized a community-engaged technology development approach to inform feature options within the REDCap software platform centered around collection and storage of electronic consent (eConsent) to address issues of transparency, clinical trial efficiency, and regulatory compliance for informed consent (Harris, et al. Journal of Biomedical Informatics 2009; 42(2): 377-381.). eConsent may also improve recruitment and retention in clinical research studies by addressing: (1) barriers for accessing rural populations by facilitating remote consent and (2) cultural and literacy barriers by including optional explanatory material (e.g., defining terms by hovering over them with the cursor) or the choice of displaying different videos/images based on participant\u27s race, ethnicity, or educational level (Phillippi, et al. Journal of Obstetric, Gynecologic, and Neonatal Nursing. 2018; 47(4): 529-534.). Methods: We developed and pilot tested our eConsent framework to provide a personalized consent experience whereby users are guided through a consent document that utilizes avatars, contextual glossary information supplements, and videos, to facilitate communication of information. Results: The eConsent framework includes a portfolio of eight features, reviewed by community stakeholders, and tested at two academic medical centers. Conclusions: Early adoption and utilization of this eConsent framework have demonstrated acceptability. Next steps will emphasize testing efficacy of features to improve participant engagement with the consent process

Extracellular superoxide production by key microbes in the global ocean

© The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Sutherland, K. M., Coe, A., Gast, R. J., Plummer, S., Suffridge, C. P., Diaz, J. M., Bowman, J. S., Wankel, S. D., & Hansel, C. M. Extracellular superoxide production by key microbes in the global ocean. Limnology and Oceanography, (2019), doi:10.1002/lno.11247.Bacteria and eukaryotes produce the reactive oxygen species superoxide both within and outside the cell. Although superoxide is typically associated with the detrimental and sometimes fatal effects of oxidative stress, it has also been shown to be involved in a range of essential biochemical processes, including cell signaling, growth, differentiation, and defense. Light‐independent extracellular superoxide production has been shown to be widespread among many marine heterotrophs and phytoplankton, but the extent to which this trait is relevant to marine microbial physiology and ecology throughout the global ocean is unknown. Here, we investigate the dark extracellular superoxide production of five groups of organisms that are geographically widespread and represent some of the most abundant organisms in the global ocean. These include Prochlorococcus, Synechococcus, Pelagibacter, Phaeocystis, and Geminigera. Cell‐normalized net extracellular superoxide production rates ranged seven orders of magnitude, from undetectable to 14,830 amol cell−1 h−1, with the cyanobacterium Prochlorococcus being the lowest producer and the cryptophyte Geminigera being the most prolific producer. Extracellular superoxide production exhibited a strong inverse relationship with cell number, pointing to a potential role in cell signaling. We demonstrate that rapid, cell‐number–dependent changes in the net superoxide production rate by Synechococcus and Pelagibacter arose primarily from changes in gross production of extracellular superoxide, not decay. These results expand the relevance of dark extracellular superoxide production to key marine microbes of the global ocean, suggesting that superoxide production in marine waters is regulated by a diverse suite of marine organisms in both dark and sunlit waters.The authors would like to acknowledge their funding sources including NASA NESSF NNX15AR62H (K.M.S.), NASA Exobiology grant NNX15AM04G to S.D.W. and C.M.H., NSF‐OCE grant 1355720 to C.M.H., NSF‐OPP 1641019 (J.S.B), and Simons Foundation SCOPE Award ID 329108 (Sallie W. Chisholm). The authors would also like to thank the Harvey lab (Skidaway Institute of Oceanography) for use of their flow cytometer in this study. We thank Stephen Giovannoni and Sallie Chisholm for providing bacteria strains and laboratory facilities. Additional thanks to Marianne Acker, Rogier Braakman, and Aldo Arellano for assistance in lab and helpful conversations

Simulation-based power and sample size calculation for designing interrupted time series analyses of count outcomes in evaluation of health policy interventions

Objective: The purpose of this study was to present the design, model, and data analysis of an interrupted time series (ITS) model applied to evaluate the impact of health policy, systems, or environmental interventions using count outcomes. Simulation methods were used to conduct power and sample size calculations for these studies. Methods: We proposed the models and analyses of ITS designs for count outcomes using the Strengthening Translational Research in Diverse Enrollment (STRIDE) study as an example. The models we used were observation-driven models, which bundle a lagged term on the conditional mean of the outcome for a time series of count outcomes. Results: A simulation-based approach with ready-to-use computer programs was developed to calculate the sample size and power of two types of ITS models, Poisson and negative binomial, for count outcomes. Simulations were conducted to estimate the power of segmented autoregressive (AR) error models when autocorrelation ranged from -0.9 to 0.9, with various effect sizes. The power to detect the same magnitude of parameters varied largely, depending on the testing level change, the trend change, or both. The relationships between power and sample size and the values of the parameters were different between the two models. Conclusion: This article provides a convenient tool to allow investigators to generate sample sizes that will ensure sufficient statistical power when the ITS study design of count outcomes is implemented

SARS-CoV-2 seroprevalence and risk factors among meat packing, produce processing, and farm workers

Meat packing, produce processing, and farm workers are known to have an elevated risk of COVID-19, but occupational risk factors in this population are unclear. We performed an observational cohort study of meat packing, produce processing, and farm workers in North Carolina in fall 2020. Blood, saliva, and nasal turbinate samples were collected to assess for SARS-CoV-2 seropositivity. Risk factors for SARS-CoV-2 seropositivity were investigated using chi-square tests, two-sample t-tests, and adjusted risk ratio analyses. Among 118 enrolled workers, the baseline SARS-CoV-2 seroprevalence was 50.0%. Meat packing plant workers had the highest SARS-CoV-2 seroprevalence (64.6%), followed by farm workers (45.0%) and produce processing workers (10.0%), despite similar sociodemographic characteristics. Compared to SARS-CoV-2 seronegative workers, seropositive workers were more likely to work in loud environments that necessitated yelling to communicate (RR: 1.83, 95% CI: 1.25–2.69), work in cold environments (RR: 1.58, 95% CI: 1.12–2.24), or continue working despite developing symptoms at work (RR: 1.63, 95% CI: 1.14–2.32). After adjusting for age and working despite symptoms, high occupational noise levels were associated with a 1.72 times higher risk of SARS-CoV-2 seropositivity (95% CI: 1.16–2.55). Half of food processing workers showed evidence of past SARS-CoV-2 infection, a prevalence five times higher than most of the United States population at the time of the study. Work environments with loud ambient noise may pose elevated risks for SARS-CoV-2 transmission. Our findings also highlight the disproportionate burden of COVID-19 among underserved and economically disadvantaged Latinx communities in the United States

Seroepidemiology and risk factors for SARS-CoV-2 infection among household members of food processing and farm workers in North Carolina

Background Racial and ethnic minorities have borne a disproportionate burden from COVID-19. Certain essential occupations, including food processing and farm work, employ large numbers of Hispanic migrant workers and have been shown to carry an especially high risk of infection. Methods We conducted an observational cohort study measuring the seroprevalence of SARS-CoV-2 and assessing risk factors for seropositivity among North Carolina food processing and farm workers and members of their households. Participants completed questionnaires and we collected blood samples and used an enzyme-linked immunosorbent assay to assess SARS-CoV-2 seropositivity. Univariate and multivariate analyses were carried out to identify risk factors associated with seropositivity, using generalized estimating equations to account for household clustering. Findings Among the 218 participants, 94.5% were Hispanic, and SARS-CoV-2 seropositivity was 50.0%. Most seropositive individuals did not report a history of illness compatible with COVID-19. Attending church, having a prior history of COVID-19, having a seropositive household member, and speaking Spanish as one's primary language were associated with SARS-CoV-2 seropositivity, while preventive behaviors were not. Interpretation These findings underscore the substantial burden of COVID-19 among a population of mostly Hispanic essential workers and their households in rural North Carolina. Our study contributes to a large body of evidence showing that Hispanic Americans have suffered a disproportionate COVID-19 burden. We also highlight the epidemiologic importance of viral transmission within the household

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

Brief of Amici Curiae 56 Professors of Law and Economics in Support of Petition of Writ of Certiorari

28 U.S.C. § 1400(b) provides that a defendant in a patent case may be sued where the defendant is incorporated or has a regular and established place of business and has infringed the patent. This Court made clear in Fourco Glass Co. v. Transmirra Prods. Corp., 353 U.S. 222, 223 (1957), that those were the only permissible venues for a patent case. But the Federal Circuit has rejected Fourco and the plain meaning of § 1400(b), instead permitting a patent plaintiff to file suit against a defendant anywhere there is personal jurisdiction over that defendant. The result has been rampant forum shopping, particularly by patent trolls. 44% of 2015 patent lawsuits were filed in a single district: the Eastern District of Texas, a forum with plaintiff-friendly rules and practices, and where few of the defendants are incorporated or have established places of business. And an estimated 86% of 2015 patent cases were filed somewhere other than the jurisdictions specified in the statute. Colleen V. Chien & Michael Risch, Recalibrating Patent Venue, Santa Clara Univ. Legal Studies Research Paper No. 10-1 (Sept. 1, 2016), Table 3. This Court should grant certiorari to review the meaning of 28 U.S.C. § 1400(b) because the Federal Circuit’s dubious interpretation of the statute plays an outsized and detrimental role, both legally and economically, in the patent system

Brief of Amici Curiae 56 Professors of Law and Economics in Support of Petition of Writ of Certiorari

28 U.S.C. § 1400(b) provides that a defendant in a patent case may be sued where the defendant is incorporated or has a regular and established place of business and has infringed the patent. This Court made clear in Fourco Glass Co. v. Transmirra Prods. Corp., 353 U.S. 222, 223 (1957), that those were the only permissible venues for a patent case. But the Federal Circuit has rejected Fourco and the plain meaning of § 1400(b), instead permitting a patent plaintiff to file suit against a defendant anywhere there is personal jurisdiction over that defendant. The result has been rampant forum shopping, particularly by patent trolls. 44% of 2015 patent lawsuits were filed in a single district: the Eastern District of Texas, a forum with plaintiff-friendly rules and practices, and where few of the defendants are incorporated or have established places of business. And an estimated 86% of 2015 patent cases were filed somewhere other than the jurisdictions specified in the statute. Colleen V. Chien & Michael Risch, Recalibrating Patent Venue, Santa Clara Univ. Legal Studies Research Paper No. 10-1 (Sept. 1, 2016), Table 3. This Court should grant certiorari to review the meaning of 28 U.S.C. § 1400(b) because the Federal Circuit’s dubious interpretation of the statute plays an outsized and detrimental role, both legally and economically, in the patent system