US-Mexico binational COVID-19 cases in southern California border counties, California, February-June 2020.

Background: COVID-19 has had a significant public health impact on both the United States and Mexico. Cross-border mobility between southern California and Mexico raises questions of transmission trends between these jurisdictions. The objective of this project was to describe binational cases amongst California US-Mexico border county COVID-19 cases and compare incidence trends to cross-border Mexico jurisdictions. Methods: Interview data from persons with confirmed SARS-CoV-2 infections in San Diego County, CA and Imperial County, CA from February to June 2020 were reviewed for binational cases; demographics and connection to COVID-19 outbreaks were assessed. Graphs of COVID-19 incidence in San Diego County and Imperial County were compared to incidence graphs in cross-border Mexico jurisdictions of Tijuana and Mexicali. Results: Persons with COVID-19 and a binational case were older, more likely to be Hispanic, and reside in a border ZIP code than those without. Binational cases were a small proportion and tracked with overall cases during the study period. Conclusions: Binational cases had different trends than non-binational cases of SARS-CoV-2 in San Diego and Imperial counties from February to June 2020. Findings could inform SARS-CoV-2 mitigation strategies specific to the US-Mexico land border, particularly recommendations regarding cross-border land travel.

Point prevalence survey to evaluate the seropositivity for coronavirus disease 2019 (COVID-19) among high-risk healthcare workers.

Among 1,770 healthcare workers serving in high-risk care areas for coronavirus disease 2019 (COVID-19), 39 (2.2%) were seropositive. Exposure to severe acute respiratory coronavirus virus 2 (SARS-CoV-2) in the community was associated with being seropositive. Job or unit type and percentage of time working with COVID-19 patients were not associated with positive antibody tests.

Identifying individuals for primary cardiovascular disease prevention in UK general practice: priorities and resource implications.

Targeted cardiovascular disease prevention relies on risk-factor information held in primary care records. A risk algorithm, the 'e-Nudge', was applied to data from a population of >or=50-year-olds in 19 West Midlands practices, to identify those individuals at risk of cardiovascular disease. Altogether, 5.9% were identified aged 50-74 years at >or=20% 10-year risk based on existing data, and a further 26.4% were potentially at risk but had missing risk-factor information; 9.2% of patients aged over 50 years with established cardiovascular disease had at least one modifiable risk factor outside the audit target of the Quality and Outcomes Framework. Implications for resource allocation are discussed.

Automated electronic reminders to facilitate primary cardiovascular disease prevention: randomised controlled trial.

BACKGROUND: Primary care databases contain cardiovascular disease risk factor data, but practical tools are required to improve identification of at-risk patients. AIM: To test the effects of a system of electronic reminders (the 'e-Nudge') on cardiovascular events and the adequacy of data for cardiovascular risk estimation. DESIGN OF STUDY: Randomised controlled trial. SETTING: Nineteen general practices in the West Midlands, UK. METHOD: The e-Nudge identifies four groups of patients aged over 50 years on the basis of estimated cardiovascular risk and adequacy of risk factor data in general practice computers. Screen messages highlight individuals at raised risk and prompt users to complete risk profiles where necessary. The proportion of the study population in the four groups was measured, as well as the rate of cardiovascular events in each arm after 2 years. RESULTS: Over 38 000 patients' electronic records were randomised. The intervention led to an increase in the proportion of patients with sufficient data who were identifiably at risk, with a difference of 1.94% compared to the control group (95% confidence interval [CI] = 1.38 to 2.50, P<0.001). A corresponding reduction occurred in the proportion potentially at risk but requiring further data for a risk estimation (difference = -3.68%, 95% CI = -4.53 to -2.84, P<0.001). No significant difference was observed in the incidence of cardiovascular events (rate ratio = 0.96, 95% CI = 0.85 to 1.10, P = 0.59). CONCLUSION: Automated electronic reminders using routinely collected primary care data can improve the adequacy of cardiovascular risk factor information during everyday practice and increase the visibility of the at-risk population.

Protocol for the 'e-Nudge trial': a randomised controlled trial of electronic feedback to reduce the cardiovascular risk of individuals in general practice [ISRCTN64828380].

BACKGROUND: Cardiovascular disease (including coronary heart disease and stroke) is a major cause of death and disability in the United Kingdom, and is to a large extent preventable, by lifestyle modification and drug therapy. The recent standardisation of electronic codes for cardiovascular risk variables through the United Kingdom's new General Practice contract provides an opportunity for the application of risk algorithms to identify high risk individuals. This randomised controlled trial will test the benefits of an automated system of alert messages and practice searches to identify those at highest risk of cardiovascular disease in primary care databases. DESIGN: Patients over 50 years old in practice databases will be randomised to the intervention group that will receive the alert messages and searches, and a control group who will continue to receive usual care. In addition to those at high estimated risk, potentially high risk patients will be identified who have insufficient data to allow a risk estimate to be made. Further groups identified will be those with possible undiagnosed diabetes, based either on elevated past recorded blood glucose measurements, or an absence of recent blood glucose measurement in those with established cardiovascular disease. OUTCOME MEASURES: The intervention will be applied for two years, and outcome data will be collected for a further year. The primary outcome measure will be the annual rate of cardiovascular events in the intervention and control arms of the study. Secondary measures include the proportion of patients at high estimated cardiovascular risk, the proportion of patients with missing data for a risk estimate, and the proportion with undefined diabetes status at the end of the trial.

Dendrotoxin poisoning in a neurobiochemist.

BACKGROUND: Dendrotoxin is a highly potent blocker of KV1.1, KV1.2, and KV1.6 potassium channels that is derived from the venom of the green mamba (Dendroaspis angusticeps). It is commonly used to inhibit the function of whole nerve preparations in vitro. Despite the widespread use and potency of this compound, neurotoxicity in humans has not been described from refined toxin. We report a case of dendrotoxin toxicity from dermal exposure. CASE REPORT: A healthy 40-year-old female neurobiochemist presented with complaints of progressive numbness of the left malar region and lateral orbit that progressed to include the medial orbit and tongue. One hour prior to presentation she used her bare hands to remove residual petroleum jelly from a dish that had previously contained 500 nanoliters of 500 nanomolar dendrotoxin. She recalled rubbing her left eye prior to the onset of symptoms. Before touching the dish, she had washed it with running water and then 70% ethanol while using latex gloves. Physical examination was remarkable only for weakness to superior gaze and some mild tongue fasciculations. Within 12 hours of exposure, she was completely asymptomatic. CONCLUSION: Dendrotoxin is a highly potent neurotoxin that can cause localized impairment of nerve function after mucous membrane exposure.