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Matias W, suliman S, Fulcher I, Molano F, Collins S, Uceta E, Zhu J, Paxton R, Gonsalves S, Harden M, Fisher M, Meldrim J, Gabriel S, Franke M, Hung D, Smole S, Madoff L, Ivers L. 674. Evaluation of the Access Bio CareStart™ Rapid SARS-CoV-2 Antigen Test in Asymptomatic Individuals Tested at a Community Mass-testing Program in Western Massachusetts. Open Forum Infect Dis 2021. [DOI: 10.1093/ofid/ofab466.871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Point-of-care antigen-detecting rapid diagnostic tests (RDTs) to detect Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) represent a scalable tool for surveillance of active SARS-CoV-2 infections in the population. Data on the performance of these tests in real-world community settings will be paramount for their implementation to combat the COVID-19 pandemic.
Methods
We evaluated the performance characteristics of the CareStartTM COVID-19 Antigen Test (CareStart) in a community testing site in Holyoke, Massachusetts. We compared CareStart to a SARS-CoV-2 reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) reference, both using anterior nasal swab samples. We calculated the sensitivity, specificity, and the expected positive and negative predictive values at different SARS-CoV-2 prevalence estimates.
Results
We performed 666 total tests on 591 unique individuals. 573 (86%) were asymptomatic. There were 52 positive tests by RT-qPCR. The sensitivity of CareStart was 49.0% (95% Confidence Interval (CI): 34.8 – 63.4) and specificity was 99.5% (95% CI: 98.5 – 99.9). Among positive RT-qPCR tests, the median cycle threshold (Ct) was significantly lower in samples that tested positive on CareStart. Using a Ct less than or equal to 30 as a benchmark for positivity increased the sensitivity of the test to 64.9% (95% CI: 47.5 – 79.8).
Performance characteristics of CareStart test results benchmarked against the RT-qPCR gold standard (excluding undetermined results).
Examples of images of CareStart rapid test showing variable band intensities.
N2 gene RT-qPCR Cycle threshold (Ct) values corresponding to positive and negative CareStart rapid antigen test results for all RT-qPCR positive samples (n=52).
Conclusion
Our study shows that CareStart has a high specificity and moderate sensitivity. The utility of RDTs, such as CareStart, in mass implementation should prioritize use cases in which a higher specificity is more important, such as triage tests to rule-in active infections in community surveillance programs.
Disclosures
All Authors: No reported disclosures
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Affiliation(s)
| | - Sara suliman
- Brigham and Women's Hospital, Boston, Massachusetts
| | | | | | | | | | - Jack Zhu
- Massachusetts General Hospital, Boston, Massachusetts
| | - Ryan Paxton
- Holyoke Board of Health, Holyoke, Massachusetts
| | | | - Maegan Harden
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Marissa Fisher
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Jim Meldrim
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | | | | | - Deborah Hung
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Sandra Smole
- Massachusetts State Public Health Laboratory, Boston, Massachusetts
| | - Lawrence Madoff
- Massachusetts Department of Public Health, Boston, Massachusetts
| | - Louise Ivers
- Massachusetts General Hospital, Boston, Massachusetts
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Matias W, Fulcher I, Nolan C, Guillaume Y, Zhu J, Molano F, Uceta E, Collins S, Slater D, Sanchez V, Moheed S, Harris J, Charles R, Paxton R, Gonsalves S, Franke M, Ivers L. 396. Disparities in SARS-CoV-2 Antibody Prevalence: Findings from a Citywide Serosurvey in Holyoke, Massachusetts, November 2020–January 2021. Open Forum Infect Dis 2021. [PMCID: PMC8644318 DOI: 10.1093/ofid/ofab466.597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Seroprevalence studies are important tools to estimate the prevalence of prior or recent SARS-CoV-2 infections. This information is critical for identifying hotspots and high-risk groups and informing public health responses to the COVID-19 pandemic. We conducted a city-level seroprevalence study in Holyoke, Massachusetts to estimate the seroprevalence of SARS-CoV-2 antibodies and risk factors for seropositivity.
Methods
We invited inhabitants of 2,000 randomly sampled addresses to participate between November 5 and December 31, 2020. Participants completed questionnaires measuring sociodemographic and health characteristics, and COVID-19 exposure history, and provided dried blood spots for measurement of SARS-CoV-2 IgG and IgM antibodies. To calculate total and group seroprevalence estimates, inverse probability of response weights were constructed based on age, gender, race/ethnicity and census tract to ensure estimates represented the city’s population.
Results
We enrolled 280 households including 472 individuals. 328 underwent antibody testing. The citywide weighted seroprevalence of SARS-CoV-2 IgG or IgM was 13.9% (95%CI 7.8 - 21.8) compared to 9.8% based on publicly reported case counts. Seroprevalence was 16.8% (95%CI 5.7 – 28.0) among individuals identifying as Hispanic compared to 8.9% (95%CI 3.0 - 14.7) among those identifying as White. Seroprevalence was 20.7% (95%CI 2.2 – 39.2) for ages 0-19; 13.8% (95%CI 5.6 – 22) for ages 20 – 44; 9.6% (95%CI 0 – 20.5) for ages 45 – 59; 4.8% (95%CI 0 – 10.2) for ages 60 – 84; and 42.9% (95%CI 0 – 100) for ages >85.
Table 1. Seroprevalence by antibody positivity profile
Table 2. Unweighted and weighted seroprevalence by sociodemographic characteristics
Figure 1. Seroprevalence by Medical, Symptom, Testing and Exposure History.
Conclusion
The measured SARS-CoV-2 seroprevalence in Holyoke was only 13.9% during the second surge of SARS-CoV-2 in this region, far from accepted thresholds for “herd immunity” and highlighting the need for expanding vaccination. Individuals identifying as Hispanic were at high risk of prior infection. Subsequent community-level serosurveys are necessary to guide local responses to the SARS-CoV-2 pandemic.
Disclosures
All Authors: No reported disclosures
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Affiliation(s)
| | | | - Cody Nolan
- Brigham and Women’s Hospital, Boston, Massachusetts
| | | | - Jack Zhu
- Massachusetts General Hospital, Boston, Massachusetts
| | | | | | | | - Damien Slater
- Massachusetts General Hospital, Boston, Massachusetts
| | | | | | - Jason Harris
- Massachusetts General Hospital, Boston, Massachusetts
| | | | - Ryan Paxton
- Holyoke Board of Health, Holyoke, Massachusetts
| | | | | | - Louise Ivers
- Massachusetts General Hospital, Boston, Massachusetts
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3
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Eberly LA, Richterman A, Beckett AG, Wispelwey B, Marsh RH, Cleveland Manchanda EC, Chang CY, Glynn RJ, Brooks KC, Boxer R, Kakoza R, Goldsmith J, Loscalzo J, Morse M, Lewis EF, Abel S, Adams A, Anaya J, Andrews EH, Atkinson B, Avutu V, Bachorik A, Badri O, Bailey M, Baird K, Bakshi S, Balaban D, Barshop K, Baumrin E, Bayomy O, Beamesderfer J, Becker N, Berg DD, Berman AN, Blum SM, Boardman AP, Boden K, Bonacci RA, Brown S, Campbell K, Case S, Cetrone E, Charrow A, Chiang D, Clark D, Cohen AJ, Cooper A, Cordova T, Cuneo CN, de Feria AA, Deffenbacher K, DeFilippis EM, DeGregorio G, Deutsch AJ, Diephuis B, Divakaran S, Dorschner P, Downing N, Drescher C, D'Silva KM, Dunbar P, Duong D, Earp S, Eckhardt C, Elman SA, England R, Everett K, Fedotova N, Feingold-Link T, Ferreira M, Fisher H, Foo P, Foote M, Franco I, Gilliland T, Greb J, Greco K, Grewal S, Grin B, Growdon ME, Guercio B, Hahn CK, Hasselfeld B, Haydu EJ, Hermes Z, Hildick-Smith G, Holcomb Z, Holroyd K, Horton L, Huang G, Jablonski S, Jacobs D, Jain N, Japa S, Joseph R, Kalashnikova M, Kalwani N, Kang D, Karan A, Katz JT, Kellner D, Kidia K, Kim JH, Knowles SM, Kolbe L, Kore I, Koullias Y, Kuye I, Lang J, Lawlor M, Lechner MG, Lee K, Lee S, Lee Z, Limaye N, Lin-Beckford S, Lipsyc M, Little J, Loewenthal J, Logaraj R, Lopez DM, Loriaux D, Lu Y, Ma K, Marukian N, Matias W, Mayers JR, McConnell I, McLaughlin M, Meade C, Meador C, Mehta A, Messenger E, Michaelidis C, Mirsky J, Mitten E, Mueller A, Mullur J, Munir A, Murphy E, Nagami E, Natarajan A, Nsahlai M, Nze C, Okwara N, Olds P, Paez R, Pardo M, Patel S, Petersen A, Phelan L, Pimenta E, Pipilas D, Plovanich M, Pong D, Powers BW, Rao A, Ramirez Batlle H, Ramsis M, Reichardt A, Reiger S, Rengarajan M, Rico S, Rome BN, Rosales R, Rotenstein L, Roy A, Royston S, Rozansky H, Rudder M, Ryan CE, Salgado S, Sanchez P, Schulte J, Sekar A, Semenkovich N, Shannon E, Shaw N, Shorten AB, Shrauner W, Sinnenberg L, Smithy JW, Snyder G, Sreekrishnan A, Stabenau H, Stavrou E, Stergachis A, Stern R, Stone A, Tabrizi S, Tanyos S, Thomas C, Thun H, Torres-Lockhart K, Tran A, Treasure C, Tsai FD, Tsaur S, Tschirhart E, Tuwatananurak J, Venkateswaran RV, Vishnevetsky A, Wahl L, Wall A, Wallace F, Walsh E, Wang P, Ward HB, Warner LN, Weeks LD, Weiskopf K, Wengrod J, Williams JN, Winkler M, Wong JL, Worster D, Wright A, Wunsch C, Wynter JS, Yarbrough C, Yau WY, Yazdi D, Yeh J, Yialamas MA, Yozamp N, Zambrotta M, Zon R. Identification of Racial Inequities in Access to Specialized Inpatient Heart Failure Care at an Academic Medical Center. Circ Heart Fail 2019; 12:e006214. [PMID: 31658831 DOI: 10.1161/circheartfailure.119.006214] [Citation(s) in RCA: 91] [Impact Index Per Article: 18.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Racial inequities for patients with heart failure (HF) have been widely documented. HF patients who receive cardiology care during a hospital admission have better outcomes. It is unknown whether there are differences in admission to a cardiology or general medicine service by race. This study examined the relationship between race and admission service, and its effect on 30-day readmission and mortality Methods: We performed a retrospective cohort study from September 2008 to November 2017 at a single large urban academic referral center of all patients self-referred to the emergency department and admitted to either the cardiology or general medicine service with a principal diagnosis of HF, who self-identified as white, black, or Latinx. We used multivariable generalized estimating equation models to assess the relationship between race and admission to the cardiology service. We used Cox regression to assess the association between race, admission service, and 30-day readmission and mortality. RESULTS Among 1967 unique patients (66.7% white, 23.6% black, and 9.7% Latinx), black and Latinx patients had lower rates of admission to the cardiology service than white patients (adjusted rate ratio, 0.91; 95% CI, 0.84-0.98, for black; adjusted rate ratio, 0.83; 95% CI, 0.72-0.97 for Latinx). Female sex and age >75 years were also independently associated with lower rates of admission to the cardiology service. Admission to the cardiology service was independently associated with decreased readmission within 30 days, independent of race. CONCLUSIONS Black and Latinx patients were less likely to be admitted to cardiology for HF care. This inequity may, in part, drive racial inequities in HF outcomes.
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Affiliation(s)
- Lauren A Eberly
- University of Pennsylvania, Department of Medicine, Division of Cardiovascular Medicine, Philadelphia, PA (L.A.E.)
| | - Aaron Richterman
- Department of Medicine (A.R., A.G.B., B.W., K.C.B., R.K., J.L., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Anne G Beckett
- Department of Medicine (A.R., A.G.B., B.W., K.C.B., R.K., J.L., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Bram Wispelwey
- Department of Medicine (A.R., A.G.B., B.W., K.C.B., R.K., J.L., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Regan H Marsh
- Department of Emergency Medicine (R.H.M., E.C.C.M., C.Y.C), Brigham and Women's Hospital, Boston, MA
| | | | - Cindy Y Chang
- Department of Emergency Medicine (R.H.M., E.C.C.M., C.Y.C), Brigham and Women's Hospital, Boston, MA.,Harvard Medical School, Boston, MA (C.Y.C)
| | - Robert J Glynn
- Division of Preventive Medicine, Department of Medicine (R.J.G.), Brigham and Women's Hospital, Boston, MA.,Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA (R.J.G)
| | - Katherine C Brooks
- Department of Medicine (A.R., A.G.B., B.W., K.C.B., R.K., J.L., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Robert Boxer
- Division of General Internal Medicine, Department of Medicine (R.B.), Brigham and Women's Hospital, Boston, MA
| | - Rose Kakoza
- Department of Medicine (A.R., A.G.B., B.W., K.C.B., R.K., J.L., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Jennifer Goldsmith
- Division of Global Health Equity, Department of Medicine (J.G., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Joseph Loscalzo
- Department of Medicine (A.R., A.G.B., B.W., K.C.B., R.K., J.L., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Michelle Morse
- Department of Medicine (A.R., A.G.B., B.W., K.C.B., R.K., J.L., M.M.), Brigham and Women's Hospital, Boston, MA.,Division of Global Health Equity, Department of Medicine (J.G., M.M.), Brigham and Women's Hospital, Boston, MA
| | - Eldrin F Lewis
- Division of Cardiovascular Medicine, and Department of Medicine (E.F..L.), Brigham and Women's Hospital, Boston, MA
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