scholarly journals Detection of the omicron variant virus with the Abbott BinaxNow SARS-CoV-2 Rapid Antigen Assay

Author(s):  
James Regan ◽  
James Flynn ◽  
Manish Choudhary ◽  
Rockib Uddin ◽  
Jacob Lemieux ◽  
...  

The US Centers for Disease Control and Prevention recommends rapid testing for SARS-CoV-2 infection as a key element of epidemic control. The Abbott BinaxNow is in widespread use in the United States for self-testing and as part of public health screening campaigns, but has not been evaluated for use with the omicron variant of SARS-CoV-2. We recruited individuals testing positive for COVID-19 PCR at an academic medical center. Anterior nasal swabs were stored in viral transport media and evaluated by viral load quantification and whole genome sequencing. We created serial dilutions from 2.5x103- 2.5x105 viral copies/specimen for two delta and omicron specimens, respectively, and tested each with the BinaxNow assay per manufacturer instructions. Results were interpreted by three readers, blinded to the specimen variant and concentration. All omicron and delta specimens with concentrations of 100,000 copies/swab or greater were positive by the BinaxNow Assay, a concentration similar to previously reported limits of detection for this assay. Assay sensitivity diminished below that. This study demonstrates that Omicron variant SARS-CoV-2 infections are detected by the BinaxNow rapid antigen assay. Additional laboratory and clinical validation assessments are needed to better determine their limits of detection and performance in real-world settings.

2021 ◽  
Vol 12 ◽  
pp. 215013272199688
Author(s):  
Ajeng J. Puspitasari ◽  
Dagoberto Heredia ◽  
Elise Weber ◽  
Hannah K Betcher ◽  
Brandon J. Coombes ◽  
...  

Background: This study aimed to explore clinicians’ perspectives on the current practice of perinatal mood and anxiety disorder (PMAD) management and strategies to improve future implementation. Methods: This study had a cross-sectional, descriptive design. A 35-item electronic survey was sent to clinicians (N = 118) who treated perinatal women and practiced at several community clinics at an academic medical center in the United States. Results: Among clinicians who provided care for perinatal women, 34.7% reported never receiving PMAD management training and 66.3% had less than 10 years of experience. Out of 10 patients who reported psychiatric symptoms, 47.8% of clinicians on average reported providing PMAD management to 1 to 3 patients and 40.7% noted that they conducted screening only when patient expresses PMAD symptoms. Suggested future improvements were providing training, developing a referral list, and establishing integrated behavioral health services. Conclusions: Results from this study indicated that while PMAD screening and management was implemented, improvements are warranted to meet established guidelines. Additionally, clinicians endorsed providing PMAD management to a small percentage of perinatal patients. Suggested strategies to increase adoption and implementation of PMAD management should be explored to improve access to behavioral health services for perinatal women.


2020 ◽  
Vol 41 (S1) ◽  
pp. s84-s84
Author(s):  
Lorinda Sheeler ◽  
Mary Kukla ◽  
Oluchi Abosi ◽  
Holly Meacham ◽  
Stephanie Holley ◽  
...  

Background: In December of 2019, the World Health Organization reported a novel coronavirus (severe acute respiratory coronavirus virus 2 [SARS-CoV-2)]) causing severe respiratory illness originating in Wuhan, China. Since then, an increasing number of cases and the confirmation of human-to-human transmission has led to the need to develop a communication campaign at our institution. We describe the impact of the communication campaign on the number of calls received and describe patterns of calls during the early stages of our response to this emerging infection. Methods: The University of Iowa Hospitals & Clinics is an 811-bed academic medical center with >200 outpatient clinics. In response to the coronavirus disease 2019 (COVID-19) outbreak, we launched a communications campaign on January 17, 2020. Initial communications included email updates to staff and a dedicated COVID-19 webpage with up-to-date information. Subsequently, we developed an electronic screening tool to guide a risk assessment during patient check in. The screening tool identifies travel to China in the past 14 days and the presence of symptoms defined as fever >37.7°C plus cough or difficulty breathing. The screening tool was activated on January 24, 2020. In addition, university staff contacted each student whose primary residence record included Hubei Province, China. Students were provided with medical contact information, signs and symptoms to monitor for, and a thermometer. Results: During the first 5 days of the campaign, 3 calls were related to COVID-19. The number of calls increased to 18 in the 5 days following the implementation of the electronic screening tool. Of the 21 calls received to date, 8 calls (38%) were generated due to the electronic travel screen, 4 calls (19%) were due to a positive coronavirus result in a multiplex respiratory panel, 4 calls (19%) were related to provider assessment only (without an electronic screening trigger), and 2 calls (10%) sought additional information following the viewing of the web-based communication campaign. Moreover, 3 calls (14%) were for people without travel history but with respiratory symptoms and contact with a person with recent travel to China. Among those reporting symptoms after travel to China, mean time since arrival to the United States was 2.7 days (range, 0–11 days). Conclusion: The COVID-19 outbreak is evolving, and providing up to date information is challenging. Implementing an electronic screening tool helped providers assess patients and direct questions to infection prevention professionals. Analyzing the types of calls received helped tailor messaging to frontline staff.Funding: NoneDisclosures: None


Author(s):  
Nila S. Radhakrishnan ◽  
Margaret C. Lo ◽  
Rohit Bishnoi ◽  
Subhankar Samal ◽  
Robert Leverence ◽  
...  

Purpose: Traditionally, the morbidity and mortality conference (M&MC) is a forum where possible medical errors are discussed. Although M&MCs can facilitate identification of opportunities for systemwide improvements, few studies have described their use for this purpose, particularly in residency training programs. This paper describes the use of M&MC case review as a quality improvement activity that teaches system-based practice and can engage residents in improving systems of care. Methods: Internal medicine residents at a tertiary care academic medical center reviewed 347 consecutive mortalities from March 2014 to September 2017. The residents used case review worksheets to categorize and track causes of mortality, and then debriefed with a faculty member. Selected cases were then presented at a larger interdepartmental meeting and action items were implemented. Descriptive statistics and thematic analysis were used to analyze the results. Results: The residents identified a possible diagnostic mismatch at some point from admission to death in 54.5% of cases (n= 189) and a possible need for improved management in 48.0% of cases. Three possible management failure themes were identified, including failure to plan, failure to communicate, and failure to rescue, which accounted for 21.9%, 10.7 %, and 10.1% of cases, respectively. Following these reviews, quality improvement initiatives proposed by residents led to system-based changes. Conclusion: A resident-driven mortality review curriculum can lead to improvements in systems of care. This novel type of curriculum can be used to teach system-based practice. The recruitment of teaching faculty with expertise in quality improvement and mortality case analyses is essential for such a project.


2019 ◽  
Vol 76 (Supplement_3) ◽  
pp. S79-S84
Author(s):  
Hamilton Wen ◽  
Janos L Mathe ◽  
Stuart T Weinberg ◽  
Asli Ozdas Weitkamp ◽  
Scott D Nelson

Abstract Purpose A initiative at an academic medical center to create a single database of immunization-related content to inform the build and configuration of immunization-related knowledge assets across multiple clinical systems is described. Methods Semistructured expert interviews were conducted to ascertain the immunization information needs of the institution’s clinical systems. Based on those needs, an immunization domain model constructed with data available from the Centers for Disease Control and Prevention (CDC) website was developed and used to analyze and compare current immunization-related content from CDC data sources with the content of the institution’s clinical systems. Results Five identified clinical systems that used immunization-related content collectively required 22 unique information concepts, 11 of which were obtainable from CDC vaccine code sets. The proportion of vaccines designated by CDC as active products (i.e., currently available administrable vaccines) that were included in the 5 clinical systems ranged from 59% to 95%; in addition, some non–active-status vaccines were listed as active-status products in the various clinical systems. Upon further review, updates to immunization-related content in the 5 clinical systems were implemented. Conclusion Creating a single database for immunization-related content based on CDC data facilitated an explicit and tractable knowledge management process and helped ensure that clinical systems had correct and current content. The immunization domain model created has the potential to assist in the automated detection of updates and relaying those updates to the applicable clinical systems.


2020 ◽  
Vol 11 ◽  
pp. 215013272093126
Author(s):  
Kimberly A. Siniscalchi ◽  
Marion E. Broome ◽  
Jason Fish ◽  
Joseph Ventimiglia ◽  
Julie Thompson ◽  
...  

The health issue addressed is the unmet need to universally screen and treat depression, which is one of the most common mental health disorders among adults in the United States. The US Preventive Services Task Force recommends screening adults for depression in primary care and using evidence-based protocols. This quality improvement project implemented VitalSign6, a measurement-based care program, to improve depression screening and treatment of adults in primary care at an academic medical center. A pre-post design was used to determine effectiveness of changes in screening, outcomes, and satisfaction. Of 1200 unique adult patients, 95.4% received initial screening. Providers diagnosed and administered measurement-based care to 236 patients. After 14 weeks, 27.5% returned for at least 1 follow-up. Results showed a statistically significant decrease in self-reported depression scores from baseline to follow-up. VitalSign6 was effective in improving identification and management of depression in primary care.


2020 ◽  
Vol 7 (10) ◽  
Author(s):  
Joesph R Wiencek ◽  
Carter L Head ◽  
Costi D Sifri ◽  
Andrew S Parsons

Abstract Background The novel severe acute respiratory coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID-19) originated in December 2019 and has now infected almost 5 million people in the United States. In the spring of 2020, private laboratories and some hospitals began antibody testing despite limited evidence-based guidance. Methods We conducted a retrospective chart review of patients who received SARS-CoV-2 antibody testing from May 14, 2020, to June 15, 2020, at a large academic medical center, 1 of the first in the United States to provide antibody testing capability to individual clinicians in order to identify clinician-described indications for antibody testing compared with current expert-based guidance from the Infectious Diseases Society of America (IDSA) and the Centers for Disease Control and Prevention (CDC). Results Of 444 individual antibody test results, the 2 most commonly described testing indications, apart from public health epidemiology studies (n = 223), were for patients with a now resolved COVID-19-compatible illness (n = 105) with no previous molecular testing and for asymptomatic patients believed to have had a past exposure to a person with COVID-19-compatible illness (n = 60). The rate of positive SARS-CoV-2 antibody testing among those indications consistent with current IDSA and CDC guidance was 17% compared with 5% (P < .0001) among those indications inconsistent with such guidance. Testing inconsistent with current expert-based guidance accounted for almost half of testing costs. Conclusions Our findings demonstrate a dissociation between clinician-described indications for testing and expert-based guidance and a significantly different rate of positive testing between these 2 groups. Clinical curiosity and patient preference appear to have played a significant role in testing decisions and substantially contributed to testing costs.


Author(s):  
Douglas W. Challener ◽  
Laura E. Breeher ◽  
JoEllen Frain ◽  
Melanie D. Swift ◽  
Pritish K. Tosh ◽  
...  

Abstract: Objective: Presenteeism is an expensive and challenging problem in the healthcare industry. In anticipation of the staffing challenges expected with the COVID-19 pandemic, we examined a decade of payroll data for a healthcare workforce. We aimed to determine the effect of seasonal influenza-like illness (ILI) on absences to support COVID-19 staffing plans. Design: Retrospective cohort study. Setting: Large academic medical center in the United States. Participants: Employees of the academic medical center who were on payroll between the years of 2009 and 2019. Methods: Biweekly institutional payroll data was evaluated for unscheduled absences as a marker for acute illness-related work absences. Linear regression models, stratified by payroll status (salaried vs hourly employees) were developed for unscheduled absences as a function of local ILI. Results: Both hours worked and unscheduled absences were significantly related to the community prevalence of influenza-like illness in our cohort. These effects were stronger in hourly employees. Conclusions: Organizations should target their messaging at encouraging salaried staff to stay home when ill.


2018 ◽  
Vol 9 (9) ◽  
pp. 523-533 ◽  
Author(s):  
Alec W. Petersen ◽  
Avantika S. Shah ◽  
Sandra F. Simmons ◽  
Matthew S. Shotwell ◽  
J. Mary Lou Jacobsen ◽  
...  

Background: Polypharmacy is common in hospitalized older adults. Deprescribing interventions are not well described in the acute-care setting. The objective of this study was to describe a hospital-based, patient-centered deprescribing protocol (Shed-MEDS) and report pilot results. Methods: This was a pilot study set in one academic medical center in the United States. Participants consisted of a convenience sample of 40 Medicare-eligible, hospitalized patients with at least five prescribed medications. A deprescribing protocol (Shed-MEDS) was implemented among 20 intervention and 20 usual care control patients during their hospital stay. The primary outcome was the total number of medications deprescribed from hospital enrollment. Deprescribed was defined as medication termination or dose reduction. Enrollment medications reflected all prehospital medications and active in-hospital medications. Baseline characteristics and outcomes were compared between the intervention and usual care groups using simple logistic or linear regression for categorical and continuous measures, respectively. Results: There was no significant difference between groups in mean age, sex or Charlson comorbidity index. The intervention and control groups had a comparable number of medications at enrollment, 25.2 (±6.3) and 23.4 (±3.8), respectively. The number of prehospital medications in each group was 13.3 (±4.6) and 15.3 (±4.6), respectively. The Shed-MEDS protocol compared with usual care significantly increased the mean number of deprescribed medications at hospital discharge and reduced the total medication burden by 11.6 versus 9.1 ( p = 0.032) medications. The deprescribing intervention was associated with a difference of 4.6 [95% confidence interval (CI) 2.5–6.7, p < 0.001] in deprescribed medications and a 0.5 point reduction (95% CI −0.01 to 1.1) in the drug burden index. Conclusions: A hospital-based, patient-centered deprescribing intervention is feasible and may reduce the medication burden in older adults.


2020 ◽  
pp. 10.1212/CPJ.0000000000000906 ◽  
Author(s):  
Roy E. Strowd ◽  
Lauren Strauss ◽  
Rachel Graham ◽  
Kristen Dodenhoff ◽  
Allysen Schreiber ◽  
...  

ABSTRACTObjective:To describe rapid implementation of telehealth during the COVID-19 pandemic and assess for disparities in video visit implementation in the Appalachian region of the United States.Methods:A retrospective cohort of consecutive patients seen in the first four weeks of telehealth implementation was identified from the Neurology Ambulatory Practice at a large academic medical center. Telehealth visits defaulted to video and when unable phone-only visits were scheduled. Patients were divided into two groups based on the telehealth visit type: video or phone-only. Clinical variables were collected from the electronic medical record including age, sex, race, insurance status, indication for visit, and rural-urban status. Barriers to scheduling video visits were collected at the time of scheduling. Patient satisfaction was obtained by structured post-visit telephone call.Results:Of 1011 telehealth patient-visits, 44% were video and 56% phone-only. Patients who completed a video visit were younger (39.7 vs 48.4 years, p<0.001), more likely to be female (63% vs 55%, p<0.007), be White or Caucasian (p=0.024), and not have Medicare or Medicaid insurance (p<0.001). The most common barrier to scheduling video visits was technology limitations (46%). While patients from rural and urban communities were equally likely to be scheduled for video visits, patients from rural communities were more likely to consider future telehealth visits (55% vs 42%, p=0.05).Conclusion:Rapid implementation of ambulatory telemedicine defaulting to video visits successfully expanded video telehealth. Emerging disparities were revealed, as older, male, black patients with Medicare or Medicaid insurance were less likely to adopt video visits.


Sign in / Sign up

Export Citation Format

Share Document