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Conti G, Notari EP, Dodd RY, Kessler D, Custer B, Bruhn R, Reik R, Yang H, Whitaker BI, Stramer SL. Changes in transfusion-transmissible infection prevalence and demographics among US blood donors during the COVID-19 pandemic. Transfusion 2024. [PMID: 38661249 DOI: 10.1111/trf.17851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Revised: 04/08/2024] [Accepted: 04/11/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND The COVID-19 pandemic impacted the US blood supply. We compared blood donor demography and infectious disease prevalence before and during the pandemic using a large multicenter database. METHODS Data were categorized as "Before COVID-19" (March 2018-February 2020) or "During COVID-19" (March 2020-February 2022). Donor demographics, donation frequency, and infectious marker prevalence of HIV, HBV, and HCV were compared for the two time periods. The odds of a donor testing positive for these infections among the two time periods were calculated using multivariable logistic regression. RESULTS Our study assessed a total of 26,672,213 donations including 13,430,380 before and 13,241,833 during COVID-19. There were significantly more donations from donors who were female, aged 40 and older, white, and repeat, during COVID-19. Donation frequency comparison quantified the increase in donations from donors who were white, female, older, and repeat during the pandemic. The prevalence of HIV and HCV decreased significantly during COVID-19 compared to before, but not for HBV. For HIV, the adjusted odds of infection during the pandemic did not differ but for HBV, the odds were significantly more likely during the pandemic and were significantly lower for HCV. DISCUSSION Demographics and infectious disease marker prevalence changed during the COVID-19 pandemic in the United States. Prevalence of each infection in the donor population will continue to be monitored to determine if changes were specific to the pandemic period.
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Affiliation(s)
- Galen Conti
- American Red Cross, Rockville, Maryland, USA
| | | | | | - Debra Kessler
- New York Blood Center Enterprises, New York, New York, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Roberta Bruhn
- Vitalant Research Institute, San Francisco, California, USA
| | - Rita Reik
- OneBlood, St. Petersburg, Florida, USA
| | - Hong Yang
- US Food and Drug Administration, Silver Spring, Maryland, USA
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Conti G, Notari E, Dodd RY, Kessler D, Custer B, Reik R, Lanteri MC, Hailu B, Yang H, Stramer SL. Syphilis seroprevalence and incidence in US blood donors from 2020 to 2022. Transfusion 2024; 64:325-333. [PMID: 38180267 PMCID: PMC10922865 DOI: 10.1111/trf.17707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 12/22/2023] [Accepted: 12/22/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND HIV, HBV, and HCV infections for ~60% of the US blood supply are monitored by TTIMS with syphilis added in 2020. STUDY DESIGN AND METHODS Data were compiled from October 2020 to September 2022. Syphilis prevalence was estimated for allogeneic and directed donors who were consensus positive (CP) and the subset of those with confirmed-active infections (AI). Prevalence and incidence were stratified by demographics for two consecutive 1-year periods, starting October 1, 2020 and for both years combined. Incidence was estimated for repeat donors. Associations between syphilis positivity and other infections were evaluated. RESULTS Among 14.75 million donations, syphilis prevalence was 28.4/100,000 donations and significantly higher during the second year compared to the first year. Overall, syphilis incidence for the two-year period was 10.8/100,000 person-years. The adjusted odds of a CP infection were 1.18 (95% CI: 1.11, 1.26) times higher in the second year compared to the first, and for AI, 1.22 (95% CI: 1.10, 1.35) times higher in year 2. Highest rates occurred among males, first-time, Black, and younger (ages 18-39) donors, and those in the South US Census region. Syphilis CP donors were 64 (95% CI: 46, 89) times more likely to be HIV CP, and AI donors 77 (95% CI: 52, 114) times more likely to be HIV CP than non-CP donors, when controlling for confounders. SUMMARY/CONCLUSIONS Syphilis prevalence increased over the study period mirroring national trends reported by CDC and is significantly associated with HIV CP.
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Affiliation(s)
- Galen Conti
- American Red Cross, Scientific Affairs, Rockville, MD
| | - Ed Notari
- American Red Cross, Scientific Affairs, Rockville, MD
| | - Roger Y. Dodd
- American Red Cross, Scientific Affairs, Rockville, MD
| | | | - Brian Custer
- Vitalant Research Institute, San Francisco, CA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | | | - Marion C. Lanteri
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
- Creative Testing Solutions, Tempe, AZ
| | | | - Hong Yang
- US Food and Drug Administration, Silver Spring, MD
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Elmariah H, Kim J, Reid K, Cubitt C, Lancet JE, Kuykendall AT, Komrokji R, Sallman D, Chan O, Sweet K, Ribickas A, Faramand RG, Mishra A, Khimani F, Perez LE, Kirtane K, Dormesy S, Kessler D, Hansen DK, Pidala JA, Anasetti C, Fuchs EJ, Jain MD, Locke FL, Bejanyan N, DeZern AE. Phase I Trial of CD8-Depleted Human Leukocyte Antigen (HLA) Mismatched Unrelated Donor Lymphocyte Infusion (DLI) to Achieve Remissions in Myelodysplastic Syndrome (MDS) and Secondary Acute Myeloid Leukemia (sAML). Transplant Cell Ther 2023. [DOI: 10.1016/s2666-6367(23)00334-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
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Buckman JEJ, Cohen ZD, O'Driscoll C, Fried EI, Saunders R, Ambler G, DeRubeis RJ, Gilbody S, Hollon SD, Kendrick T, Watkins E, Eley T, Peel AJ, Rayner C, Kessler D, Wiles N, Lewis G, Pilling S. Predicting prognosis for adults with depression using individual symptom data: a comparison of modelling approaches. Psychol Med 2023; 53:408-418. [PMID: 33952358 PMCID: PMC9899563 DOI: 10.1017/s0033291721001616] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 03/08/2021] [Accepted: 04/12/2021] [Indexed: 12/23/2022]
Abstract
BACKGROUND This study aimed to develop, validate and compare the performance of models predicting post-treatment outcomes for depressed adults based on pre-treatment data. METHODS Individual patient data from all six eligible randomised controlled trials were used to develop (k = 3, n = 1722) and test (k = 3, n = 918) nine models. Predictors included depressive and anxiety symptoms, social support, life events and alcohol use. Weighted sum scores were developed using coefficient weights derived from network centrality statistics (models 1-3) and factor loadings from a confirmatory factor analysis (model 4). Unweighted sum score models were tested using elastic net regularised (ENR) and ordinary least squares (OLS) regression (models 5 and 6). Individual items were then included in ENR and OLS (models 7 and 8). All models were compared to one another and to a null model (mean post-baseline Beck Depression Inventory Second Edition (BDI-II) score in the training data: model 9). Primary outcome: BDI-II scores at 3-4 months. RESULTS Models 1-7 all outperformed the null model and model 8. Model performance was very similar across models 1-6, meaning that differential weights applied to the baseline sum scores had little impact. CONCLUSIONS Any of the modelling techniques (models 1-7) could be used to inform prognostic predictions for depressed adults with differences in the proportions of patients reaching remission based on the predicted severity of depressive symptoms post-treatment. However, the majority of variance in prognosis remained unexplained. It may be necessary to include a broader range of biopsychosocial variables to better adjudicate between competing models, and to derive models with greater clinical utility for treatment-seeking adults with depression.
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Affiliation(s)
- J. E. J. Buckman
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, London, UK
- iCope – Camden & Islington Psychological Therapies Services – Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, UK
| | - Z. D. Cohen
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA
| | - C. O'Driscoll
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, London, UK
| | - E. I. Fried
- Department of Clinical Psychology, Leiden University, Leiden, The Netherlands
| | - R. Saunders
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, London, UK
| | - G. Ambler
- Statistical Science, University College London, 1-19 Torrington Place, London, UK
| | - R. J. DeRubeis
- Department of Psychology, School of Arts and Sciences, 425 S. University Avenue, Philadelphia PA, USA
| | - S. Gilbody
- Department of Health Sciences, University of York, Seebohm Rowntree Building, Heslington, York, UK
| | - S. D. Hollon
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - T. Kendrick
- Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton, UK
| | - E. Watkins
- Department of Psychology, University of Exeter, Sir Henry Wellcome Building for Mood Disorders Research, Perry Road, Exeter, UK
| | - T.C. Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - A. J. Peel
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - C. Rayner
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
| | - D. Kessler
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - N. Wiles
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK
| | - G. Lewis
- Division of Psychiatry, University College London, Maple House, London, UK
| | - S. Pilling
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, London, UK
- Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, UK
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Kubassova O, Boesen M, Pereira Da Costa C, O’lynn J, Patterson A, Kessler D. POS1127 USE OF ARTIFICIAL INTELLIGENCE AND CLOUD-BASED INFRASTRUCTURE TO IMPROVE THE SPEED AND ACCURACY OF ELIGIBILITY READS IN OSTEOARTHRITIS TRIALS. Ann Rheum Dis 2022. [DOI: 10.1136/annrheumdis-2022-eular.3815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BackgroundThe Kellgren-Lawrence grading (KLG) system is used in clinical trials of osteoarthritis (OA) to define the structural severity of the disease as part of patient eligibility assessment. However, the use of KLG system has proven to be challenging due to considerable inter-reader variability[1], [2], which may result in recruitment of sub-optimal patient cohort or delays in patient recruitment.ObjectivesThe objective of this study was to determine the impact of an AI-assisted, cloud-based data management system on the rate of adjudication and the speed of OA patient recruitment.MethodsA total of 3855 bilateral fixed-flexion posteroanterior radiographs of the tibiofemoral joints from global multi-centre trials were included in this study. Two experienced readers performed an initial KLG assessment of both knees; the adjudication was performed by a third experienced reader. A cloud-based imaging data management system was deployed, the readers could access the data simultaneously and adjudication was automatically triggered.We quantified the adjudication rate and the distribution of disagreements in KLG scores provided by the initial readers. Furthermore, the delay in delivery time of the KLG reports to the recruiting site was recorded.Results48% (1836) of the initial reads required adjudication. Approximately 70% of the disagreements affected the conventional KLG 2-3 inclusion range of OA clinical trials. Use of the cloud-based data management allowed 41% of the reports to be delivered within 24 hours, if no adjudication was required vs an average of 5 days as estimated based on the readers’ prior experience.Table 1 provides details on the distribution of disagreements resulting in adjudication reads. Figure 1 shows the delivery time for KLG with and without adjudication.Table 1.Distribution of disagreements of initial reads resulting in an adjudication read being triggered.Disagreement triggering AdjudicationNumber of CasesPercentageKLG 0 – 171327.8%KLG 1 – 282031.9%KLG 2 – 348218.7%KLG 3 – 444617.4%Other1104.3%Total2569100%Figure 1.Time to deliver eligibility reportNehrer et al. showed that assisting the readers with AI generated KLG scoring reports, the agreement rate between readers for KLG assessment increased by 21% [2]. Adding to this, 30% of the adjudications (stemming from KLG 0 –1 disagreements between readers) could be avoided when using AI generated reports.ConclusionWe assess the rate of adjudication and speed of reporting of KLG of data from multi-centre OA clinical trials. Future work is planned to assess the effect of AI-assisted OA grading systems within our cloud-based data management system on reader agreement and recruitment speed in global clinical trials.References[1]D. J. Hunter et al., “OARSI Clinical Trials Recommendations: Knee imaging in clinical trials inosteoarthritis,” Osteoarthritis and Cartilage, vol. 23, no. 5. W.B. Saunders Ltd, pp. 698–715, 2015. doi: 10.1016/j.joca.2015.03.012.[2]S. Nehrer et al., “Automated Knee Osteoarthritis Assessment Increases Physicians’ Agreement Rate and Accuracy: Data from the Osteoarthritis Initiative,” Cartilage, vol. 13, no. 1_suppl, pp. 957S-965S, Dec. 2021, doi: 10.1177/1947603519888793.Disclosure of InterestsOlga Kubassova Grant/research support from: Takeda, Lilly, Abbvie, Pfizer, Mikael Boesen Speakers bureau: Lilly, Novartis, Abbvie, Pfizer, Cristiano Pereira da Costa: None declared, Julia O’Lynn: None declared, Andrew Patterson: None declared, Dimitri Kessler: None declared
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Haynes WA, Kamath K, Bozekowski J, Baum-Jones E, Campbell M, Casanovas-Massana A, Daugherty PS, Dela Cruz CS, Dhal A, Farhadian SF, Fitzgibbons L, Fournier J, Jhatro M, Jordan G, Klein J, Lucas C, Kessler D, Luchsinger LL, Martinez B, Catherine Muenker M, Pischel L, Reifert J, Sawyer JR, Waitz R, Wunder EA, Zhang M, Iwasaki A, Ko A, Shon JC. High-resolution epitope mapping and characterization of SARS-CoV-2 antibodies in large cohorts of subjects with COVID-19. Commun Biol 2021; 4:1317. [PMID: 34811480 PMCID: PMC8608966 DOI: 10.1038/s42003-021-02835-2] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [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] [Received: 02/25/2021] [Accepted: 10/22/2021] [Indexed: 12/12/2022] Open
Abstract
As Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) continues to spread, characterization of its antibody epitopes, emerging strains, related coronaviruses, and even the human proteome in naturally infected patients can guide the development of effective vaccines and therapies. Since traditional epitope identification tools are dependent upon pre-defined peptide sequences, they are not readily adaptable to diverse viral proteomes. The Serum Epitope Repertoire Analysis (SERA) platform leverages a high diversity random bacterial display library to identify proteome-independent epitope binding specificities which are then analyzed in the context of organisms of interest. When evaluating immune response in the context of SARS-CoV-2, we identify dominant epitope regions and motifs which demonstrate potential to classify mild from severe disease and relate to neutralization activity. We highlight SARS-CoV-2 epitopes that are cross-reactive with other coronaviruses and demonstrate decreased epitope signal for mutant SARS-CoV-2 strains. Collectively, the evolution of SARS-CoV-2 mutants towards reduced antibody response highlight the importance of data-driven development of the vaccines and therapies to treat COVID-19. Using a high throughput, random bacterial peptide display approach applied to patient serum samples, Haynes, Kamath, Bozekowski et al identify the antigens and epitopes that elicit a SARS-CoV-2 humoral response. They identify differences depending on disease severity and further in silico analysis suggests decreased epitope signal for Q677P but not for D614G mutant SARSCoV-2 strains.
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Affiliation(s)
| | | | | | | | - Melissa Campbell
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Arnau Casanovas-Massana
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | | | - Charles S Dela Cruz
- Department of Medicine, Section of Pulmonary and Critical Care Medicine, Yale University School of Medicine, New Haven, CT, USA
| | | | - Shelli F Farhadian
- Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA
| | | | - John Fournier
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | | | | | - Jon Klein
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | - Carolina Lucas
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA
| | | | | | | | - M Catherine Muenker
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | - Lauren Pischel
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA.,Department of Medicine, Section of Infectious Diseases, Yale University School of Medicine, New Haven, CT, USA
| | | | | | | | - Elsio A Wunder
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
| | | | | | - Akiko Iwasaki
- Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA.,Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Albert Ko
- Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT, USA
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Jones JM, Stone M, Sulaeman H, Fink RV, Dave H, Levy ME, Di Germanio C, Green V, Notari E, Saa P, Biggerstaff BJ, Strauss D, Kessler D, Vassallo R, Reik R, Rossmann S, Destree M, Nguyen KA, Sayers M, Lough C, Bougie DW, Ritter M, Latoni G, Weales B, Sime S, Gorlin J, Brown NE, Gould CV, Berney K, Benoit TJ, Miller MJ, Freeman D, Kartik D, Fry AM, Azziz-Baumgartner E, Hall AJ, MacNeil A, Gundlapalli AV, Basavaraju SV, Gerber SI, Patton ME, Custer B, Williamson P, Simmons G, Thornburg NJ, Kleinman S, Stramer SL, Opsomer J, Busch MP. Estimated US Infection- and Vaccine-Induced SARS-CoV-2 Seroprevalence Based on Blood Donations, July 2020-May 2021. JAMA 2021; 326:1400-1409. [PMID: 34473201 PMCID: PMC8414359 DOI: 10.1001/jama.2021.15161] [Citation(s) in RCA: 127] [Impact Index Per Article: 42.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
IMPORTANCE People who have been infected with or vaccinated against SARS-CoV-2 have reduced risk of subsequent infection, but the proportion of people in the US with SARS-CoV-2 antibodies from infection or vaccination is uncertain. OBJECTIVE To estimate trends in SARS-CoV-2 seroprevalence related to infection and vaccination in the US population. DESIGN, SETTING, AND PARTICIPANTS In a repeated cross-sectional study conducted each month during July 2020 through May 2021, 17 blood collection organizations with blood donations from all 50 US states; Washington, DC; and Puerto Rico were organized into 66 study-specific regions, representing a catchment of 74% of the US population. For each study region, specimens from a median of approximately 2000 blood donors were selected and tested each month; a total of 1 594 363 specimens were initially selected and tested. The final date of blood donation collection was May 31, 2021. EXPOSURE Calendar time. MAIN OUTCOMES AND MEASURES Proportion of persons with detectable SARS-CoV-2 spike and nucleocapsid antibodies. Seroprevalence was weighted for demographic differences between the blood donor sample and general population. Infection-induced seroprevalence was defined as the prevalence of the population with both spike and nucleocapsid antibodies. Combined infection- and vaccination-induced seroprevalence was defined as the prevalence of the population with spike antibodies. The seroprevalence estimates were compared with cumulative COVID-19 case report incidence rates. RESULTS Among 1 443 519 specimens included, 733 052 (50.8%) were from women, 174 842 (12.1%) were from persons aged 16 to 29 years, 292 258 (20.2%) were from persons aged 65 years and older, 36 654 (2.5%) were from non-Hispanic Black persons, and 88 773 (6.1%) were from Hispanic persons. The overall infection-induced SARS-CoV-2 seroprevalence estimate increased from 3.5% (95% CI, 3.2%-3.8%) in July 2020 to 20.2% (95% CI, 19.9%-20.6%) in May 2021; the combined infection- and vaccination-induced seroprevalence estimate in May 2021 was 83.3% (95% CI, 82.9%-83.7%). By May 2021, 2.1 SARS-CoV-2 infections (95% CI, 2.0-2.1) per reported COVID-19 case were estimated to have occurred. CONCLUSIONS AND RELEVANCE Based on a sample of blood donations in the US from July 2020 through May 2021, vaccine- and infection-induced SARS-CoV-2 seroprevalence increased over time and varied by age, race and ethnicity, and geographic region. Despite weighting to adjust for demographic differences, these findings from a national sample of blood donors may not be representative of the entire US population.
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Affiliation(s)
- Jefferson M. Jones
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Mars Stone
- Vitalant Research Institute, San Francisco, California
| | | | | | - Honey Dave
- Vitalant Research Institute, San Francisco, California
| | | | | | | | - Edward Notari
- Scientific Affairs, American Red Cross, Rockville, Maryland
| | - Paula Saa
- Scientific Affairs, American Red Cross, Gaithersburg, Maryland
| | - Brad J. Biggerstaff
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | | | | | | | | | | | | | - Chris Lough
- LifeSouth Community Blood Centers, Gainesville, Florida
| | | | | | - Gerardo Latoni
- Banco de Sangre de Servicios Mutuos, San Juan, Puerto Rico
| | | | | | - Jed Gorlin
- Innovative Blood Resources, St Paul, Minnesota
| | - Nicole E. Brown
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Carolyn V. Gould
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Kevin Berney
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Tina J. Benoit
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Maureen J. Miller
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | | | - Alicia M. Fry
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Aron J. Hall
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Adam MacNeil
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Adi V. Gundlapalli
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Sridhar V. Basavaraju
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Susan I. Gerber
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Monica E. Patton
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California
| | | | | | - Natalie J. Thornburg
- COVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Steven Kleinman
- University of British Columbia, Vancouver, British Columbia, Canada
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Rael CT, Pierre D, Frye V, Kessler D, Duffy L, Malos N, Van Tieu H. Evaluating blood donor experiences and barriers/facilitators to blood donation in the United States using YouTube video content. Transfusion 2021; 61:2650-2657. [PMID: 34196004 DOI: 10.1111/trf.16568] [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] [Received: 03/24/2021] [Revised: 06/14/2021] [Accepted: 06/14/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Understanding donor perception of the blood donation experience is central to maintaining an adequate blood supply. Studies that use questionnaires to assess barriers/facilitators to donation may be influenced by response bias. To address this, we conducted an innovative study integrating quantitative informatic techniques with qualitative data analysis of YouTube video content to explore donor experiences and barriers and facilitators to whole blood donation. METHODS Sampling of YouTube videos was conducted using search parameters for identifying relevant videos, based on donors' language used to describe their whole blood donation experiences (e.g., blood donation, blood donor, donated blood, gave/give blood). We eliminated duplicate videos; filtered out non-English videos, those made outside the United States, and those with no transcripts; and restricted the time period during which videos were posted from 2015 to 2019. Search parameters were fed into a Python script, which downloaded video transcripts for all search results. The final sample was 102 noncommercial and 34 commercial transcripts. The subsequent transcriptions were uploaded into qualitative analysis software and coded two coders. A third coder randomly selected transcripts to review to ensure consistency. RESULTS Barriers to whole blood donation include having prior negative experiences with donation and donation-related fear. Facilitators included altruism, having a personal connection to donation, donation center incentives, and positive experiences with blood center staff. CONCLUSION Themes identified in this study were similar to those in the existing literature. This suggests that current questionnaires to address barriers/facilitators to donation are unlikely to be meaningfully impacted by response bias.
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Affiliation(s)
| | - Dominique Pierre
- National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA), New Haven, Connecticut, USA
| | - Victoria Frye
- Department of Community Health and Social Medicine, CUNY School of Medicine, New York, New York, USA.,Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, USA
| | - Debra Kessler
- Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, USA
| | - Louisa Duffy
- Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, USA
| | - Nick Malos
- Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, USA
| | - Hong Van Tieu
- Laboratory of Infectious Disease Prevention, New York Blood Center, New York, New York, USA
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Buckman JEJ, Saunders R, Stott J, Arundell LL, O'Driscoll C, Davies MR, Eley TC, Hollon SD, Kendrick T, Ambler G, Cohen ZD, Watkins E, Gilbody S, Wiles N, Kessler D, Richards D, Brabyn S, Littlewood E, DeRubeis RJ, Lewis G, Pilling S. Role of age, gender and marital status in prognosis for adults with depression: An individual patient data meta-analysis. Epidemiol Psychiatr Sci 2021; 30:e42. [PMID: 34085616 PMCID: PMC7610920 DOI: 10.1017/s2045796021000342] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2021] [Revised: 05/04/2021] [Accepted: 05/09/2021] [Indexed: 11/21/2022] Open
Abstract
AIMS To determine whether age, gender and marital status are associated with prognosis for adults with depression who sought treatment in primary care. METHODS Medline, Embase, PsycINFO and Cochrane Central were searched from inception to 1st December 2020 for randomised controlled trials (RCTs) of adults seeking treatment for depression from their general practitioners, that used the Revised Clinical Interview Schedule so that there was uniformity in the measurement of clinical prognostic factors, and that reported on age, gender and marital status. Individual participant data were gathered from all nine eligible RCTs (N = 4864). Two-stage random-effects meta-analyses were conducted to ascertain the independent association between: (i) age, (ii) gender and (iii) marital status, and depressive symptoms at 3-4, 6-8, and 9-12 months post-baseline and remission at 3-4 months. Risk of bias was evaluated using QUIPS and quality was assessed using GRADE. PROSPERO registration: CRD42019129512. Pre-registered protocol https://osf.io/e5zup/. RESULTS There was no evidence of an association between age and prognosis before or after adjusting for depressive 'disorder characteristics' that are associated with prognosis (symptom severity, durations of depression and anxiety, comorbid panic disorderand a history of antidepressant treatment). Difference in mean depressive symptom score at 3-4 months post-baseline per-5-year increase in age = 0(95% CI: -0.02 to 0.02). There was no evidence for a difference in prognoses for men and women at 3-4 months or 9-12 months post-baseline, but men had worse prognoses at 6-8 months (percentage difference in depressive symptoms for men compared to women: 15.08% (95% CI: 4.82 to 26.35)). However, this was largely driven by a single study that contributed data at 6-8 months and not the other time points. Further, there was little evidence for an association after adjusting for depressive 'disorder characteristics' and employment status (12.23% (-1.69 to 28.12)). Participants that were either single (percentage difference in depressive symptoms for single participants: 9.25% (95% CI: 2.78 to 16.13) or no longer married (8.02% (95% CI: 1.31 to 15.18)) had worse prognoses than those that were married, even after adjusting for depressive 'disorder characteristics' and all available confounders. CONCLUSION Clinicians and researchers will continue to routinely record age and gender, but despite their importance for incidence and prevalence of depression, they appear to offer little information regarding prognosis. Patients that are single or no longer married may be expected to have slightly worse prognoses than those that are married. Ensuring this is recorded routinely alongside depressive 'disorder characteristics' in clinic may be important.
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Affiliation(s)
- J. E. J. Buckman
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
- iCope – Camden & Islington NHS Foundation Trust, St Pancras Hospital, LondonNW1 0PE, UK
| | - R. Saunders
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - J. Stott
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - L.-L. Arundell
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - C. O'Driscoll
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
| | - M. R. Davies
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, LondonSE5 8AF, UK
| | - T. C. Eley
- Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology & Neuroscience, King's College London, LondonSE5 8AF, UK
| | - S. D. Hollon
- Department of Psychology, Vanderbilt University, Nashville, TN37240, USA
| | - T. Kendrick
- Faculty of Medicine, Primary Care, Population Sciences and Medical Education, University of Southampton, SouthamptonSO16 5ST, UK
| | - G. Ambler
- Statistical Science, University College London, LondonWC1E 7HB, UK
| | - Z. D. Cohen
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, 90095, USA
| | - E. Watkins
- Department of Psychology, University of Exeter, ExeterEX4 4QG, UK
| | - S. Gilbody
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | - N. Wiles
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, BristolBS8 2BN, UK
| | - D. Kessler
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - D. Richards
- Institute of Health Research, University of Exeter College of Medicine and Health, ExeterEX1 2LU, UK
- Department of Health and Caring Sciences, Western Norway University of Applied Sciences, Inndalsveien 28, 5063Bergen, Norway
| | - S. Brabyn
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | - E. Littlewood
- Department of Health Sciences, University of York, YorkYO10 5DD, UK
| | - R. J. DeRubeis
- Department of Psychology, School of Arts and Sciences, 425 S. University Avenue, PhiladelphiaPA, 19104-60185, USA
| | - G. Lewis
- Division of Psychiatry, University College London, LondonW1T 7NF, UK
| | - S. Pilling
- Research Department of Clinical, Educational & Health Psychology, Centre for Outcomes Research and Effectiveness (CORE), University College London, 1-19 Torrington Place, LondonWC1E 7HB, UK
- Camden & Islington NHS Foundation Trust, 4 St Pancras Way, LondonNW1 0PE, UK
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10
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Bakkour S, Saá P, Groves JA, Montalvo L, Di Germanio C, Best SM, Grebe E, Livezey K, Linnen JM, Strauss D, Kessler D, Bonn M, Green V, Williamson P, Kleinman S, Stramer SL, Stone M, Busch MP. Minipool testing for SARS-CoV-2 RNA in United States blood donors. Transfusion 2021; 61:2384-2391. [PMID: 34046906 DOI: 10.1111/trf.16511] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Revised: 05/03/2021] [Accepted: 05/03/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND SARS-CoV-2 RNA prevalence in blood donors from large geographic areas of high community transmission is limited. We tested residual donor plasma minipools (MPs) to determine SARS-CoV-2 RNAemia prevalence in six United States areas. STUDY DESIGN/METHODS Blood donations collected from 7 March 2020 to 25 September 2020 were tested for SARS-CoV-2 RNA (vRNA) in MP of 6 or 16 donations using the Grifols Procleix SARS-CoV-2 research-use only (RUO) transcription-mediated amplification (TMA) assay. Reactive results were confirmed using an alternate target region TMA assay. Reactive MPs were tested by TMA after serial dilution to estimate viral load. Testing for anti-SARS-CoV-2 antibodies and infectivity was performed. RESULTS A total of 17,995 MPs corresponding to approximately 258,000 donations were tested for vRNA. Three confirmed reactive MP16 were identified. The estimated prevalence of vRNA reactive donations was 1.16/100,000 (95% CI 0.40, 3.42). The vRNA-reactive samples were non-reactive for antibody, and the estimated viral loads of the (presumed single) positive donations within each MP ranged from <1000 to <4000 copies/ml. When tested, no infectivity was observed in inoculated permissive cell cultures. DISCUSSION Blood donation MP-nucleic acid testing (NAT) indicated that SARS-CoV-2 RNAemia is infrequent and, when detected, the vRNA was at low concentrations. Only one RNA-reactive MP could be tested for infectivity for operational reasons and was not infectious in cell culture. These findings support current recommendations from international and national regulatory agencies to not screen donors by NAT.
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Affiliation(s)
- Sonia Bakkour
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Paula Saá
- Scientific Affairs, American Red Cross, Gaithersburg, Maryland, USA
| | - Jamel A Groves
- Scientific Affairs, American Red Cross, Gaithersburg, Maryland, USA
| | | | | | - Sonja M Best
- Laboratory of Virology, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Hamilton, Montana, USA
| | - Eduard Grebe
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | | | | | - Donna Strauss
- New York Blood Center Enterprises, New York, New York, USA
| | - Debra Kessler
- New York Blood Center Enterprises, New York, New York, USA
| | - Mark Bonn
- Bloodworks Northwest, Seattle, Washington, USA
| | | | | | - Steve Kleinman
- University of British Columbia, Victoria, British Columbia, Canada
| | - Susan L Stramer
- Scientific Affairs, American Red Cross, Gaithersburg, Maryland, USA
| | - Mars Stone
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Michael P Busch
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
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11
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O'Driscoll C, Buckman JEJ, Fried EI, Saunders R, Cohen ZD, Ambler G, DeRubeis RJ, Gilbody S, Hollon SD, Kendrick T, Kessler D, Lewis G, Watkins E, Wiles N, Pilling S. The importance of transdiagnostic symptom level assessment to understanding prognosis for depressed adults: analysis of data from six randomised control trials. BMC Med 2021; 19:109. [PMID: 33952286 PMCID: PMC8101158 DOI: 10.1186/s12916-021-01971-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Accepted: 03/23/2021] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Depression is commonly perceived as a single underlying disease with a number of potential treatment options. However, patients with major depression differ dramatically in their symptom presentation and comorbidities, e.g. with anxiety disorders. There are also large variations in treatment outcomes and associations of some anxiety comorbidities with poorer prognoses, but limited understanding as to why, and little information to inform the clinical management of depression. There is a need to improve our understanding of depression, incorporating anxiety comorbidity, and consider the association of a wide range of symptoms with treatment outcomes. METHOD Individual patient data from six RCTs of depressed patients (total n = 2858) were used to estimate the differential impact symptoms have on outcomes at three post intervention time points using individual items and sum scores. Symptom networks (graphical Gaussian model) were estimated to explore the functional relations among symptoms of depression and anxiety and compare networks for treatment remitters and those with persistent symptoms to identify potential prognostic indicators. RESULTS Item-level prediction performed similarly to sum scores when predicting outcomes at 3 to 4 months and 6 to 8 months, but outperformed sum scores for 9 to 12 months. Pessimism emerged as the most important predictive symptom (relative to all other symptoms), across these time points. In the network structure at study entry, symptoms clustered into physical symptoms, cognitive symptoms, and anxiety symptoms. Sadness, pessimism, and indecision acted as bridges between communities, with sadness and failure/worthlessness being the most central (i.e. interconnected) symptoms. Connectivity of networks at study entry did not differ for future remitters vs. those with persistent symptoms. CONCLUSION The relative importance of specific symptoms in association with outcomes and the interactions within the network highlight the value of transdiagnostic assessment and formulation of symptoms to both treatment and prognosis. We discuss the potential for complementary statistical approaches to improve our understanding of psychopathology.
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Affiliation(s)
- C O'Driscoll
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK. ciaran.o'
| | - J E J Buckman
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK.
- iCope - Camden & Islington Psychological Therapies Services, Camden & Islington NHS Foundation Trust, St Pancras Hospital, London, NW1 0PE, UK.
| | - E I Fried
- Department of Clinical Psychology, Leiden University, Leiden, The Netherlands
| | - R Saunders
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - Z D Cohen
- Department of Psychiatry, University of California, Los Angeles, Los Angeles, CA, USA
| | - G Ambler
- Statistical Science, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
| | - R J DeRubeis
- School of Arts and Sciences, Department of Psychology, 425 S. University Avenue, Philadelphia, PA, 19104-60185, USA
| | - S Gilbody
- Department of Health Sciences, University of York, Seebohm Rowntree Building, Heslington, York, YO10 5DD, UK
| | - S D Hollon
- Department of Psychology, Vanderbilt University, Nashville, TN, USA
| | - T Kendrick
- Primary Care, Population Sciences and Medical Education, Faculty of Medicine, University of Southampton, Aldermoor Health Centre, Southampton, SO16 5ST, UK
| | - D Kessler
- Centre for Academic Primary Care, Population Health Sciences, Bristol Medical School, University of Bristol, Canynge Hall, Bristol, UK
| | - G Lewis
- Division of Psychiatry, University College London, Maple House, London, W1T 7NF, UK
| | - E Watkins
- Department of Psychology, University of Exeter, Sir Henry Wellcome Building for Mood Disorders Research, Perry Road, Exeter, EX4 4QG, UK
| | - N Wiles
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Oakfield House, Bristol, UK
| | - S Pilling
- Centre for Outcomes Research and Effectiveness (CORE), Research Department of Clinical, Educational & Health Psychology, University College London, 1-19 Torrington Place, London, WC1E 7HB, UK
- Camden & Islington NHS Foundation Trust, St Pancras Hospital, 4 St Pancras Way, London, NW1 0PE, UK
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12
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Gowda L, Vege S, Kessler D, Shaz B, Westhoff CM. Screening of blood donors for sickle cell trait using a DNA-based approach: Frequency in a multiethnic donor population. Transfusion 2021; 61:2008-2013. [PMID: 33929058 DOI: 10.1111/trf.16403] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 02/16/2021] [Accepted: 02/17/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Minority RBC donors are important to support the transfusion needs of patients with sickle cell disease. Testing of donors for sickle cell trait (SCT) is performed to avoid transfusion of hemoglobin S+ (HbS+) RBCs to specific patient groups and to investigate leukoreduction failures. A screening assay based on hemoglobin solubility is commonly used. The purpose of this study was to validate a DNA approach for HbS screening. METHODS Hemoglobin solubility screening (Pacific Hemostasis or SICKLEDEX) and PreciseType human erythrocyte antigen (HEA)-HbS (Immucor) targeting c.20A>T in the β-globin gene were performed according to manufacturer's directions. Resolution of differences in results included gene sequencing and high-performance liquid chromatography (HPLC). RESULTS Initial validation of HEA-HbS performed by testing 60 known samples, 20 HbS/A, A/A, and S/S, gave expected results. However, in the subsequent parallel testing phase, 4/58 samples HbS+ by solubility assay tested negative by HEA-HbS; the negative results were confirmed by β-globin gene sequencing. Samples from donors self-identifying as White testing HbS+ by solubility assay (n = 60) were retested by HEA-HbS and HPLC. The HEA-HbS assay was concordant with HPLC which is recognized as the gold standard for hemoglobin variation. CONCLUSION A DNA-based approach is an alternative to screen donors for SCT, found in approximately 7% of Black and 1.7% of our random donors. HEA-HbS correlated with HPLC results in all samples tested, supporting the use of HEA-HbS as the test of record. The method allows higher throughput screening and testing at the donor center allows association of the screening result with the donor record to avoid repeat testing.
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Affiliation(s)
- Lohith Gowda
- Immunohematology and Genomics Laboratory, New York Blood Center Enterprise, New York, New York, USA.,Section of Hematology, Yale Cancer Center, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Sunitha Vege
- Immunohematology and Genomics Laboratory, New York Blood Center Enterprise, New York, New York, USA
| | - Debra Kessler
- Immunohematology and Genomics Laboratory, New York Blood Center Enterprise, New York, New York, USA
| | - Beth Shaz
- Immunohematology and Genomics Laboratory, New York Blood Center Enterprise, New York, New York, USA
| | - Connie M Westhoff
- Immunohematology and Genomics Laboratory, New York Blood Center Enterprise, New York, New York, USA
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13
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Abi B, Albahri T, Al-Kilani S, Allspach D, Alonzi LP, Anastasi A, Anisenkov A, Azfar F, Badgley K, Baeßler S, Bailey I, Baranov VA, Barlas-Yucel E, Barrett T, Barzi E, Basti A, Bedeschi F, Behnke A, Berz M, Bhattacharya M, Binney HP, Bjorkquist R, Bloom P, Bono J, Bottalico E, Bowcock T, Boyden D, Cantatore G, Carey RM, Carroll J, Casey BCK, Cauz D, Ceravolo S, Chakraborty R, Chang SP, Chapelain A, Chappa S, Charity S, Chislett R, Choi J, Chu Z, Chupp TE, Convery ME, Conway A, Corradi G, Corrodi S, Cotrozzi L, Crnkovic JD, Dabagov S, De Lurgio PM, Debevec PT, Di Falco S, Di Meo P, Di Sciascio G, Di Stefano R, Drendel B, Driutti A, Duginov VN, Eads M, Eggert N, Epps A, Esquivel J, Farooq M, Fatemi R, Ferrari C, Fertl M, Fiedler A, Fienberg AT, Fioretti A, Flay D, Foster SB, Friedsam H, Frlež E, Froemming NS, Fry J, Fu C, Gabbanini C, Galati MD, Ganguly S, Garcia A, Gastler DE, George J, Gibbons LK, Gioiosa A, Giovanetti KL, Girotti P, Gohn W, Gorringe T, Grange J, Grant S, Gray F, Haciomeroglu S, Hahn D, Halewood-Leagas T, Hampai D, Han F, Hazen E, Hempstead J, Henry S, Herrod AT, Hertzog DW, Hesketh G, Hibbert A, Hodge Z, Holzbauer JL, Hong KW, Hong R, Iacovacci M, Incagli M, Johnstone C, Johnstone JA, Kammel P, Kargiantoulakis M, Karuza M, Kaspar J, Kawall D, Kelton L, Keshavarzi A, Kessler D, Khaw KS, Khechadoorian Z, Khomutov NV, Kiburg B, Kiburg M, Kim O, Kim SC, Kim YI, King B, Kinnaird N, Korostelev M, Kourbanis I, Kraegeloh E, Krylov VA, Kuchibhotla A, Kuchinskiy NA, Labe KR, LaBounty J, Lancaster M, Lee MJ, Lee S, Leo S, Li B, Li D, Li L, Logashenko I, Lorente Campos A, Lucà A, Lukicov G, Luo G, Lusiani A, Lyon AL, MacCoy B, Madrak R, Makino K, Marignetti F, Mastroianni S, Maxfield S, McEvoy M, Merritt W, Mikhailichenko AA, Miller JP, Miozzi S, Morgan JP, Morse WM, Mott J, Motuk E, Nath A, Newton D, Nguyen H, Oberling M, Osofsky R, Ostiguy JF, Park S, Pauletta G, Piacentino GM, Pilato RN, Pitts KT, Plaster B, Počanić D, Pohlman N, Polly CC, Popovic M, Price J, Quinn B, Raha N, Ramachandran S, Ramberg E, Rider NT, Ritchie JL, Roberts BL, Rubin DL, Santi L, Sathyan D, Schellman H, Schlesier C, Schreckenberger A, Semertzidis YK, Shatunov YM, Shemyakin D, Shenk M, Sim D, Smith MW, Smith A, Soha AK, Sorbara M, Stöckinger D, Stapleton J, Still D, Stoughton C, Stratakis D, Strohman C, Stuttard T, Swanson HE, Sweetmore G, Sweigart DA, Syphers MJ, Tarazona DA, Teubner T, Tewsley-Booth AE, Thomson K, Tishchenko V, Tran NH, Turner W, Valetov E, Vasilkova D, Venanzoni G, Volnykh VP, Walton T, Warren M, Weisskopf A, Welty-Rieger L, Whitley M, Winter P, Wolski A, Wormald M, Wu W, Yoshikawa C. Measurement of the Positive Muon Anomalous Magnetic Moment to 0.46 ppm. Phys Rev Lett 2021; 126:141801. [PMID: 33891447 DOI: 10.1103/physrevlett.126.141801] [Citation(s) in RCA: 111] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Accepted: 03/25/2021] [Indexed: 06/12/2023]
Abstract
We present the first results of the Fermilab National Accelerator Laboratory (FNAL) Muon g-2 Experiment for the positive muon magnetic anomaly a_{μ}≡(g_{μ}-2)/2. The anomaly is determined from the precision measurements of two angular frequencies. Intensity variation of high-energy positrons from muon decays directly encodes the difference frequency ω_{a} between the spin-precession and cyclotron frequencies for polarized muons in a magnetic storage ring. The storage ring magnetic field is measured using nuclear magnetic resonance probes calibrated in terms of the equivalent proton spin precession frequency ω[over ˜]_{p}^{'} in a spherical water sample at 34.7 °C. The ratio ω_{a}/ω[over ˜]_{p}^{'}, together with known fundamental constants, determines a_{μ}(FNAL)=116 592 040(54)×10^{-11} (0.46 ppm). The result is 3.3 standard deviations greater than the standard model prediction and is in excellent agreement with the previous Brookhaven National Laboratory (BNL) E821 measurement. After combination with previous measurements of both μ^{+} and μ^{-}, the new experimental average of a_{μ}(Exp)=116 592 061(41)×10^{-11} (0.35 ppm) increases the tension between experiment and theory to 4.2 standard deviations.
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Affiliation(s)
- B Abi
- University of Oxford, Oxford, United Kingdom
| | - T Albahri
- University of Liverpool, Liverpool, United Kingdom
| | - S Al-Kilani
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - D Allspach
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - L P Alonzi
- University of Washington, Seattle, Washington, USA
| | | | - A Anisenkov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - F Azfar
- University of Oxford, Oxford, United Kingdom
| | - K Badgley
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Baeßler
- University of Virginia, Charlottesville, Virginia, USA
| | - I Bailey
- Lancaster University, Lancaster, United Kingdom
| | - V A Baranov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - E Barlas-Yucel
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - T Barrett
- Cornell University, Ithaca, New York, USA
| | - E Barzi
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Basti
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | | | - A Behnke
- Northern Illinois University, DeKalb, Illinois, USA
| | - M Berz
- Michigan State University, East Lansing, Michigan, USA
| | | | - H P Binney
- University of Washington, Seattle, Washington, USA
| | | | - P Bloom
- North Central College, Naperville, Illinois, USA
| | - J Bono
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Bottalico
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - T Bowcock
- University of Liverpool, Liverpool, United Kingdom
| | - D Boyden
- Northern Illinois University, DeKalb, Illinois, USA
| | - G Cantatore
- INFN, Sezione di Trieste, Trieste, Italy
- Università di Trieste, Trieste, Italy
| | - R M Carey
- Boston University, Boston, Massachusetts, USA
| | - J Carroll
- University of Liverpool, Liverpool, United Kingdom
| | - B C K Casey
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Cauz
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - S Ceravolo
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | | | - S P Chang
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | | | - S Chappa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Charity
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - R Chislett
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - J Choi
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - Z Chu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - T E Chupp
- University of Michigan, Ann Arbor, Michigan, USA
| | - M E Convery
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Conway
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - G Corradi
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - S Corrodi
- Argonne National Laboratory, Lemont, Illinois, USA
| | - L Cotrozzi
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - J D Crnkovic
- Brookhaven National Laboratory, Upton, New York, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- University of Mississippi, University, Mississippi, USA
| | - S Dabagov
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | | | - P T Debevec
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - P Di Meo
- INFN, Sezione di Napoli, Napoli, Italy
| | | | - R Di Stefano
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Cassino e del Lazio Meridionale, Cassino, Italy
| | - B Drendel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - A Driutti
- INFN, Sezione di Trieste, Trieste, Italy
- Università di Udine, Udine, Italy
- University of Kentucky, Lexington, Kentucky, USA
| | - V N Duginov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - M Eads
- Northern Illinois University, DeKalb, Illinois, USA
| | - N Eggert
- Cornell University, Ithaca, New York, USA
| | - A Epps
- Northern Illinois University, DeKalb, Illinois, USA
| | - J Esquivel
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Farooq
- University of Michigan, Ann Arbor, Michigan, USA
| | - R Fatemi
- University of Kentucky, Lexington, Kentucky, USA
| | - C Ferrari
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - M Fertl
- Institute of Physics and Cluster of Excellence PRISMA+, Johannes Gutenberg University Mainz, Mainz, Germany
- University of Washington, Seattle, Washington, USA
| | - A Fiedler
- Northern Illinois University, DeKalb, Illinois, USA
| | - A T Fienberg
- University of Washington, Seattle, Washington, USA
| | - A Fioretti
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - D Flay
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - S B Foster
- Boston University, Boston, Massachusetts, USA
| | - H Friedsam
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Frlež
- University of Virginia, Charlottesville, Virginia, USA
| | - N S Froemming
- Northern Illinois University, DeKalb, Illinois, USA
- University of Washington, Seattle, Washington, USA
| | - J Fry
- University of Virginia, Charlottesville, Virginia, USA
| | - C Fu
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - C Gabbanini
- INFN, Sezione di Pisa, Pisa, Italy
- Istituto Nazionale di Ottica-Consiglio Nazionale delle Ricerche, Pisa, Italy
| | - M D Galati
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - S Ganguly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - A Garcia
- University of Washington, Seattle, Washington, USA
| | - D E Gastler
- Boston University, Boston, Massachusetts, USA
| | - J George
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | | | - A Gioiosa
- INFN, Sezione di Pisa, Pisa, Italy
- Università del Molise, Campobasso, Italy
| | - K L Giovanetti
- Department of Physics and Astronomy, James Madison University, Harrisonburg, Virginia, USA
| | - P Girotti
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - W Gohn
- University of Kentucky, Lexington, Kentucky, USA
| | - T Gorringe
- University of Kentucky, Lexington, Kentucky, USA
| | - J Grange
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Michigan, Ann Arbor, Michigan, USA
| | - S Grant
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - F Gray
- Regis University, Denver, Colorado, USA
| | - S Haciomeroglu
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - D Hahn
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - D Hampai
- INFN, Laboratori Nazionali di Frascati, Frascati, Italy
| | - F Han
- University of Kentucky, Lexington, Kentucky, USA
| | - E Hazen
- Boston University, Boston, Massachusetts, USA
| | - J Hempstead
- University of Washington, Seattle, Washington, USA
| | - S Henry
- University of Oxford, Oxford, United Kingdom
| | - A T Herrod
- University of Liverpool, Liverpool, United Kingdom
| | - D W Hertzog
- University of Washington, Seattle, Washington, USA
| | - G Hesketh
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Hibbert
- University of Liverpool, Liverpool, United Kingdom
| | - Z Hodge
- University of Washington, Seattle, Washington, USA
| | - J L Holzbauer
- University of Mississippi, University, Mississippi, USA
| | - K W Hong
- University of Virginia, Charlottesville, Virginia, USA
| | - R Hong
- Argonne National Laboratory, Lemont, Illinois, USA
- University of Kentucky, Lexington, Kentucky, USA
| | - M Iacovacci
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Napoli, Napoli, Italy
| | | | - C Johnstone
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J A Johnstone
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - P Kammel
- University of Washington, Seattle, Washington, USA
| | | | - M Karuza
- INFN, Sezione di Trieste, Trieste, Italy
- University of Rijeka, Rijeka, Croatia
| | - J Kaspar
- University of Washington, Seattle, Washington, USA
| | - D Kawall
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - L Kelton
- University of Kentucky, Lexington, Kentucky, USA
| | - A Keshavarzi
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - D Kessler
- Department of Physics, University of Massachusetts, Amherst, Massachusetts, USA
| | - K S Khaw
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
- University of Washington, Seattle, Washington, USA
| | | | - N V Khomutov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - B Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Kiburg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- North Central College, Naperville, Illinois, USA
| | - O Kim
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - S C Kim
- Cornell University, Ithaca, New York, USA
| | - Y I Kim
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - B King
- University of Liverpool, Liverpool, United Kingdom
| | - N Kinnaird
- Boston University, Boston, Massachusetts, USA
| | | | - I Kourbanis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Kraegeloh
- University of Michigan, Ann Arbor, Michigan, USA
| | - V A Krylov
- Joint Institute for Nuclear Research, Dubna, Russia
| | - A Kuchibhotla
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | | | - K R Labe
- Cornell University, Ithaca, New York, USA
| | - J LaBounty
- University of Washington, Seattle, Washington, USA
| | - M Lancaster
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | - M J Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - S Lee
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - S Leo
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Li
- Argonne National Laboratory, Lemont, Illinois, USA
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - D Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - L Li
- School of Physics and Astronomy, Shanghai Jiao Tong University, Shanghai, China
| | - I Logashenko
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | | | - A Lucà
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - G Lukicov
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - G Luo
- Northern Illinois University, DeKalb, Illinois, USA
| | - A Lusiani
- INFN, Sezione di Pisa, Pisa, Italy
- Scuola Normale Superiore, Pisa, Italy
| | - A L Lyon
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - B MacCoy
- University of Washington, Seattle, Washington, USA
| | - R Madrak
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - K Makino
- Michigan State University, East Lansing, Michigan, USA
| | - F Marignetti
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Cassino e del Lazio Meridionale, Cassino, Italy
| | | | - S Maxfield
- University of Liverpool, Liverpool, United Kingdom
| | - M McEvoy
- Northern Illinois University, DeKalb, Illinois, USA
| | - W Merritt
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | | | - J P Miller
- Boston University, Boston, Massachusetts, USA
| | - S Miozzi
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
| | - J P Morgan
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - W M Morse
- Brookhaven National Laboratory, Upton, New York, USA
| | - J Mott
- Boston University, Boston, Massachusetts, USA
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - E Motuk
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Nath
- INFN, Sezione di Napoli, Napoli, Italy
- Università di Napoli, Napoli, Italy
| | - D Newton
- University of Liverpool, Liverpool, United Kingdom
| | - H Nguyen
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Oberling
- Argonne National Laboratory, Lemont, Illinois, USA
| | - R Osofsky
- University of Washington, Seattle, Washington, USA
| | - J-F Ostiguy
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - S Park
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
| | - G Pauletta
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - G M Piacentino
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
- Università del Molise, Campobasso, Italy
| | - R N Pilato
- INFN, Sezione di Pisa, Pisa, Italy
- Università di Pisa, Pisa, Italy
| | - K T Pitts
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - B Plaster
- University of Kentucky, Lexington, Kentucky, USA
| | - D Počanić
- University of Virginia, Charlottesville, Virginia, USA
| | - N Pohlman
- Northern Illinois University, DeKalb, Illinois, USA
| | - C C Polly
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Popovic
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - J Price
- University of Liverpool, Liverpool, United Kingdom
| | - B Quinn
- University of Mississippi, University, Mississippi, USA
| | - N Raha
- INFN, Sezione di Pisa, Pisa, Italy
| | | | - E Ramberg
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - N T Rider
- Cornell University, Ithaca, New York, USA
| | - J L Ritchie
- Department of Physics, University of Texas at Austin, Austin, Texas, USA
| | - B L Roberts
- Boston University, Boston, Massachusetts, USA
| | - D L Rubin
- Cornell University, Ithaca, New York, USA
| | - L Santi
- INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine, Italy
- Università di Udine, Udine, Italy
| | - D Sathyan
- Boston University, Boston, Massachusetts, USA
| | - H Schellman
- Northwestern University, Evanston, Illinois, USA
| | - C Schlesier
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
| | - A Schreckenberger
- Boston University, Boston, Massachusetts, USA
- University of Illinois at Urbana-Champaign, Urbana, Illinois, USA
- Department of Physics, University of Texas at Austin, Austin, Texas, USA
| | - Y K Semertzidis
- Center for Axion and Precision Physics (CAPP)/Institute for Basic Science (IBS), Daejeon, Republic of Korea
- Department of Physics, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea
| | - Y M Shatunov
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - D Shemyakin
- Budker Institute of Nuclear Physics, Novosibirsk, Russia
| | - M Shenk
- Northern Illinois University, DeKalb, Illinois, USA
| | - D Sim
- University of Liverpool, Liverpool, United Kingdom
| | - M W Smith
- INFN, Sezione di Pisa, Pisa, Italy
- University of Washington, Seattle, Washington, USA
| | - A Smith
- University of Liverpool, Liverpool, United Kingdom
| | - A K Soha
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Sorbara
- INFN, Sezione di Roma Tor Vergata, Roma, Italy
- Università di Roma Tor Vergata, Rome, Italy
| | - D Stöckinger
- Institut für Kern-und Teilchenphysik, Technische Universität Dresden, Dresden, Germany
| | - J Stapleton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Still
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Stoughton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - D Stratakis
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - C Strohman
- Cornell University, Ithaca, New York, USA
| | - T Stuttard
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - H E Swanson
- University of Washington, Seattle, Washington, USA
| | - G Sweetmore
- Department of Physics and Astronomy, University of Manchester, Manchester, United Kingdom
| | | | - M J Syphers
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
- Northern Illinois University, DeKalb, Illinois, USA
| | - D A Tarazona
- Michigan State University, East Lansing, Michigan, USA
| | - T Teubner
- University of Liverpool, Liverpool, United Kingdom
| | | | - K Thomson
- University of Liverpool, Liverpool, United Kingdom
| | - V Tishchenko
- Brookhaven National Laboratory, Upton, New York, USA
| | - N H Tran
- Boston University, Boston, Massachusetts, USA
| | - W Turner
- University of Liverpool, Liverpool, United Kingdom
| | - E Valetov
- Lancaster University, Lancaster, United Kingdom
- Michigan State University, East Lansing, Michigan, USA
- Tsung-Dao Lee Institute, Shanghai Jiao Tong University, Shanghai, China
| | - D Vasilkova
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | | | - V P Volnykh
- Joint Institute for Nuclear Research, Dubna, Russia
| | - T Walton
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Warren
- Department of Physics and Astronomy, University College London, London, United Kingdom
| | - A Weisskopf
- Michigan State University, East Lansing, Michigan, USA
| | - L Welty-Rieger
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
| | - M Whitley
- University of Liverpool, Liverpool, United Kingdom
| | - P Winter
- Argonne National Laboratory, Lemont, Illinois, USA
| | - A Wolski
- University of Liverpool, Liverpool, United Kingdom
| | - M Wormald
- University of Liverpool, Liverpool, United Kingdom
| | - W Wu
- University of Mississippi, University, Mississippi, USA
| | - C Yoshikawa
- Fermi National Accelerator Laboratory, Batavia, Illinois, USA
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14
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Steele WR, Dodd RY, Notari EP, Haynes J, Anderson SA, Williams AE, Reik R, Kessler D, Custer B, Stramer SL. HIV, HCV, and HBV incidence and residual risk in US blood donors before and after implementation of the 12-month deferral policy for men who have sex with men. Transfusion 2021; 61:839-850. [PMID: 33460470 DOI: 10.1111/trf.16250] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2020] [Revised: 11/17/2020] [Accepted: 11/17/2020] [Indexed: 12/19/2022]
Abstract
BACKGROUND In December 2015, the men who have sex with men (MSM) deferral was reduced to 12 months in the United States. We compared human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV) incidence and residual risk before and after this policy change using data from >50% of the US blood supply. STUDY DESIGN AND METHODS Three estimation intervals from the Transfusion-Transmissible Infections Monitoring System were compared: 15-months pre- and two consecutive, nonoverlapping 15-month post-MSM deferral implementation. Repeat, first-time, and weighted all-donor incidences were estimated. Residual risk was calculated for all incidence estimates using the incidence/window-period method. RESULTS HIV repeat donor incidence was 1.57 per 100 000 person-years (phtpy) in the second 15-month post change and not significantly different from pre-MSM incidence of 2.19 phtpy. Similar values were seen for HCV (1.49 phtpy vs 1.46 phtpy) and HBV (1.14 phtpy vs 0.97 phtpy). In some cases, higher estimated incidence, but without significant change from pre-MSM to the second post change period occurred for males and first-time donors (eg, first-time donors, second post change period: 6.12 phtpy HIV, 6.41 phtpy HCV and 5.34 phtpy HBV). Estimated per donation residual risk was 1:1.6 million for HIV, 1:2.0 million for HCV and 1:1.0 million for HBV based on weighted incidence for all donors. CONCLUSIONS Repeat, first-time, and overall donor incidence did not vary significantly comparing pre-MSM to either of the post-MSM estimation intervals. Residual risk estimates vary by study, but all yield residual risks in the United States of ≤1 per million, and thus far have not shown increasing risk with the 12-month MSM policy change.
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Affiliation(s)
| | | | | | | | | | - Alan E Williams
- U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Rita Reik
- OneBlood, St. Petersburg, Florida, USA
| | | | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
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15
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Maki JN, Gruel D, McKinney C, Ravine MA, Morales M, Lee D, Willson R, Copley-Woods D, Valvo M, Goodsall T, McGuire J, Sellar RG, Schaffner JA, Caplinger MA, Shamah JM, Johnson AE, Ansari H, Singh K, Litwin T, Deen R, Culver A, Ruoff N, Petrizzo D, Kessler D, Basset C, Estlin T, Alibay F, Nelessen A, Algermissen S. The Mars 2020 Engineering Cameras and Microphone on the Perseverance Rover: A Next-Generation Imaging System for Mars Exploration. Space Sci Rev 2020; 216:137. [PMID: 33268910 PMCID: PMC7686239 DOI: 10.1007/s11214-020-00765-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Accepted: 11/09/2020] [Indexed: 05/16/2023]
Abstract
The Mars 2020 Perseverance rover is equipped with a next-generation engineering camera imaging system that represents an upgrade over previous Mars rover missions. These upgrades will improve the operational capabilities of the rover with an emphasis on drive planning, robotic arm operation, instrument operations, sample caching activities, and documentation of key events during entry, descent, and landing (EDL). There are a total of 16 cameras in the Perseverance engineering imaging system, including 9 cameras for surface operations and 7 cameras for EDL documentation. There are 3 types of cameras designed for surface operations: Navigation cameras (Navcams, quantity 2), Hazard Avoidance Cameras (Hazcams, quantity 6), and Cachecam (quantity 1). The Navcams will acquire color stereo images of the surface with a 96 ∘ × 73 ∘ field of view at 0.33 mrad/pixel. The Hazcams will acquire color stereo images of the surface with a 136 ∘ × 102 ∘ at 0.46 mrad/pixel. The Cachecam, a new camera type, will acquire images of Martian material inside the sample tubes during caching operations at a spatial scale of 12.5 microns/pixel. There are 5 types of EDL documentation cameras: The Parachute Uplook Cameras (PUCs, quantity 3), the Descent stage Downlook Camera (DDC, quantity 1), the Rover Uplook Camera (RUC, quantity 1), the Rover Descent Camera (RDC, quantity 1), and the Lander Vision System (LVS) Camera (LCAM, quantity 1). The PUCs are mounted on the parachute support structure and will acquire video of the parachute deployment event as part of a system to characterize parachute performance. The DDC is attached to the descent stage and pointed downward, it will characterize vehicle dynamics by capturing video of the rover as it descends from the skycrane. The rover-mounted RUC, attached to the rover and looking upward, will capture similar video of the skycrane from the vantage point of the rover and will also acquire video of the descent stage flyaway event. The RDC, attached to the rover and looking downward, will document plume dynamics by imaging the Martian surface before, during, and after rover touchdown. The LCAM, mounted to the bottom of the rover chassis and pointed downward, will acquire 90 ∘ × 90 ∘ FOV images during the parachute descent phase of EDL as input to an onboard map localization by the Lander Vision System (LVS). The rover also carries a microphone, mounted externally on the rover chassis, to capture acoustic signatures during and after EDL. The Perseverance rover launched from Earth on July 30th, 2020, and touchdown on Mars is scheduled for February 18th, 2021.
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Affiliation(s)
- J. N. Maki
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - D. Gruel
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - C. McKinney
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | | | - M. Morales
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - D. Lee
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - R. Willson
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - D. Copley-Woods
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - M. Valvo
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - T. Goodsall
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - J. McGuire
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - R. G. Sellar
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | | | | | | | - A. E. Johnson
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - H. Ansari
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - K. Singh
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - T. Litwin
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - R. Deen
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - A. Culver
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - N. Ruoff
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - D. Petrizzo
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - D. Kessler
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - C. Basset
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - T. Estlin
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - F. Alibay
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - A. Nelessen
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
| | - S. Algermissen
- Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA USA
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16
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Gianni C, Al-Ahmad A, Knight B, Tzou W, Santangeli P, Edzards M, Tarzia K, Lee J, Sharma A, Stephenson J, Bailey S, Horton R, Kessler D, Natale A. A novel cardiac signal processing system for electrophysiology procedures: early insights from the pure ep 2.0 study. Eur Heart J 2020. [DOI: 10.1093/ehjci/ehaa946.0390] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Intracardiac electrogram data remain one of the primary diagnostic inputs guiding complex ablation procedures. However, the technology to collect, process, and display intracardiac signals has remained relatively unchanged for the past two decades.
Purpose
We test a new platform, the PURE EP™ 2.0 system (PEP; BioSig Technologies) for signal processing and display.
Methods
Identical electrocardiographic and intracardiac signal data were recorded during 15 AF ablation procedures from the PEP system, the signal recording system, and the 3D mapping system (Figure). The collected signals underwent blinded, controlled evaluation by three independent electrophysiologist reviewers to determine whether the PEP signals are a viable alternative to conventional sources and if it provides additional or clearer diagnostic information. Reviewers were asked to record the quality of each signal sample on a scale of 1–10 and select a rationale for their rating in a dropdown menu. Each paired signal rating was collected and unblinded for the analysis. If the reviewer rated the samples in the set within 1 point of each other, the PEP sample was deemed equivalent to the control. Using a 2+1 statistical method, the ratings from the three reviewers were then compared looking for at least two positive reviews for each PEP sample.
Results
Based on the ratings for each pair of signals, a cumulative total of 29 PEP signals out of 34 (85.3%) were rated as statistically equivalent or better for this dataset. In 35.5% of samples, the reviewers selected PEP because “more signal components were visible”.
Conclusion
The PURE EP 2.0 system is able to produce reliable and high-quality signals when compared to available standard of care systems. Further studies with larger dataset across multiple sites are needed to validate these results.
Funding Acknowledgement
Type of funding source: Private company. Main funding source(s): BioSig Technologies
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Affiliation(s)
- C Gianni
- St. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, United States of America
| | - A Al-Ahmad
- St. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, United States of America
| | - B Knight
- Northwestern University, Cardiac Electrophysiology, Chicago, United States of America
| | - W Tzou
- University of Colorado, Cardiac Electrophysiology, Aurora, United States of America
| | - P Santangeli
- University of Pennsylvania, Cardiac Electrophysiology, Philadelphia, United States of America
| | - M Edzards
- BioSig Technologies, Westport, United States of America
| | - K Tarzia
- BioSig Technologies, Westport, United States of America
| | - J Lee
- BioSig Technologies, Westport, United States of America
| | - A Sharma
- BioSig Technologies, Westport, United States of America
| | - J Stephenson
- BioSig Technologies, Westport, United States of America
| | - S Bailey
- St. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, United States of America
| | - R Horton
- St. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, United States of America
| | - D Kessler
- St. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, United States of America
| | - A Natale
- St. David's Medical Center, Texas Cardiac Arrhythmia Institute, Austin, United States of America
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17
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Chang B, Heravian A, Kessler D, Olsen E. 358 Emergency Physician Tele-medicine Hours Associated With Decreased Reported Burnout Symptoms. Ann Emerg Med 2020. [DOI: 10.1016/j.annemergmed.2020.09.374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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18
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Greenwald P, Telehealth Working Group, Olsen E, Kessler D, Fenster D, Heravian A, Leyden D, Sharma R, Lame M, Kim J. 203 Telemedicine Response to COVID-19 Surge in New York City: How Emergency Department Telemedicine Changed With the Curve. Ann Emerg Med 2020. [PMCID: PMC7598364 DOI: 10.1016/j.annemergmed.2020.09.216] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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19
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Grebe E, Busch MP, Notari EP, Bruhn R, Quiner C, Hindes D, Stone M, Bakkour S, Yang H, Williamson P, Kessler D, Reik R, Stramer SL, Glynn SA, Anderson SA, Williams AE, Custer B. HIV incidence in US first-time blood donors and transfusion risk with a 12-month deferral for men who have sex with men. Blood 2020; 136:1359-1367. [PMID: 32693408 PMCID: PMC7483431 DOI: 10.1182/blood.2020007003] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Accepted: 07/07/2020] [Indexed: 12/29/2022] Open
Abstract
In 2015, the US Food and Drug Administration published revised guidance that recommended a change in blood donor deferral of men who have sex with men (MSM) from an indefinite to a 12-month deferral since the donor last had sex with a man. We assessed whether HIV incidence in first-time blood donors or associated transfusion risk increased. Donations in 4 major blood collection organizations were monitored for 15 months before and 2 years after implementation of the 12-month MSM deferral policy. HIV-positive donations were classified as recently acquired or long-term using a recent infection testing algorithm and incidence in both periods estimated. Residual transfusion transmission risk was estimated by multiplying incidence by the length of the infectious window period. The latter was estimated using a model based on infectious dose and the sensitivity of nucleic acid testing. Factors associated with incident infection in each period were assessed using Poisson regression. Overall HIV incidence in first-time donors before implementation of the 12-month MSM deferral was estimated at 2.62 cases per 100 000 person-years (105 PY) (95% credible interval [CI], 1.53-3.93 cases/105 PY), and after implementation at 2.85 cases/105 PY (95% CI, 1.96-3.93 cases/105 PY), with no statistically significant change. In male first-time donors, the incidence difference was 0.93 cases/105 PY (95% CI, -1.74-3.58 cases/105 PY). The residual risk of HIV transfusion transmission through components sourced from first-time donors was estimated at 0.32 transmissions per million (106) packed red blood cell transfusions (95% CI, 0.29-0.65 transmissions/106 transfusions) before and 0.35 transmissions/106 transfusions (95% CI, 0.31-0.65 transmissions/106 transfusions) after implementation. The difference was not statistically significant. Factors associated with incident infection were the same in each period. We observed no increase in HIV incidence or HIV transfusion transmission risk after implementation of a 12-month MSM deferral policy.
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Affiliation(s)
- Eduard Grebe
- Vitalant Research Institute, San Francisco, CA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | - Michael P Busch
- Vitalant Research Institute, San Francisco, CA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | - Edward P Notari
- Scientific Affairs, American Red Cross, Rockville and Gaithersburg, MD
| | - Roberta Bruhn
- Vitalant Research Institute, San Francisco, CA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | - Claire Quiner
- Vitalant Research Institute, San Francisco, CA
- RTI International, Research Triangle Park, NC
| | | | - Mars Stone
- Vitalant Research Institute, San Francisco, CA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | - Sonia Bakkour
- Vitalant Research Institute, San Francisco, CA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
| | - Hong Yang
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
| | | | | | | | - Susan L Stramer
- Scientific Affairs, American Red Cross, Rockville and Gaithersburg, MD
| | - Simone A Glynn
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD
| | - Steven A Anderson
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
| | - Alan E Williams
- Center for Biologics Evaluation and Research, US Food and Drug Administration, Silver Spring, MD
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA
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20
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Quiner C, Bruhn R, Grebe E, Di Germanio C, Kessler D, Reik R, Williamson P, Hampton D, Fayed R, Anderson SA, Williams AE, Glynn SA, Busch MP, Stramer SL, Custer B. Recently acquired infection among HIV-seropositive donors in the US from 2010-2018. Transfusion 2020; 60:2340-2347. [PMID: 32860262 DOI: 10.1111/trf.16032] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Revised: 08/03/2020] [Accepted: 08/03/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND Monitoring of transfusion-transmissible infections in the blood supply is essential for blood safety, as the donor population is not static, and changes in policy, donor behavior, or other factors could increase the risk of recipient infection. We assessed patterns of recently acquired HIV infection in US blood donors, including before and after the implementation of the 12-month deferral for men who have sex with men (MSM). STUDY DESIGN AND METHODS A large convenience sample of donations from donors testing HIV-1 nucleic acid testing (NAT) and serology-reactive were further tested with the Sedia HIV-1 Limiting Antigen enzyme immunoassay. Samples were analyzed across available demographic and donation data to provide an assessment of recently acquired HIV infection in US blood donors from 2010 to 2018. RESULTS Overall, 317 of 1154 (27.5%; 95% confidence interval, 24.9%-30.1%) donations from HIV NAT and serology-reactive donors had recently acquired HIV infection. There was no evidence of change in the percentages of recent HIV infection by year over the study period, either in all donors or in male donors, including after the MSM policy change. In multivariable logistic regression analysis, donors aged 24 years or younger were over 2.7 times more likely and repeat donors 2.2 times more likely to have recently acquired HIV infection compared to donors aged 55 years or older and first-time donors, respectively. CONCLUSION Patterns of recently acquired HIV infection varied by demographics but not over time. These findings suggest no impact of the MSM policy change on recently acquired HIV infection in US blood donors.
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Affiliation(s)
- Claire Quiner
- Vitalant Research Institute, San Francisco, California, USA
| | - Roberta Bruhn
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Eduard Grebe
- Vitalant Research Institute, San Francisco, California, USA
| | | | | | - Rita Reik
- OneBlood, St. Petersburg, Florida, USA
| | | | - Dylan Hampton
- Vitalant Research Institute, San Francisco, California, USA
| | - Rahima Fayed
- American Red Cross Scientific Affairs, Gaithersburg, Maryland, USA
| | | | - Alan E Williams
- U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Simone A Glynn
- National Heart, Lung and Blood Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Michael P Busch
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Susan L Stramer
- American Red Cross Scientific Affairs, Gaithersburg, Maryland, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
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21
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Whitaker BI, Walderhaug M, Hinkins S, Steele WR, Custer B, Kessler D, Leparc G, Gottschall JL, Bialkowski W, Stramer SL, Dodd RY, Crowder L, Vahidnia F, Shaz BH, Kamel H, Rebosa M, Stern M, Anderson SA. Use of a rapid electronic survey methodology to estimate blood donors' potential exposure to emerging infectious diseases: Application of a statistically representative sampling methodology to assess risk in US blood centers. Transfusion 2020; 60:1987-1997. [PMID: 32743798 PMCID: PMC7436713 DOI: 10.1111/trf.15941] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [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] [Received: 10/10/2019] [Revised: 05/14/2020] [Accepted: 05/15/2020] [Indexed: 12/24/2022]
Abstract
Risk assessments of transfusion-transmitted emerging infectious diseases (EIDs) are complicated by the fact that blood donors' demographics and behaviors can be different from the general population. Therefore, when assessing potential blood donor exposure to EIDs, the use of general population characteristics, such as U.S. travel statistics, may invoke uncertainties that result in inaccurate estimates of blood donor exposure. This may, in turn, lead to the creation of donor deferral policies that do not match actual risk. STUDY DESIGN AND METHODS This article reports on the development of a system to rapidly assess EID risks for a nationally representative portion of the U.S. blood donor population. To assess the effectiveness of this system, a test survey was developed and deployed to a statistically representative sample frame of blood donors from five blood collecting organizations. Donors were directed to an online survey to ascertain their recent travel and potential exposure to Middle East respiratory syndrome coronavirus (MERS-CoV). RESULTS A total of 7128 responses were received from 54 256 invitations. The age-adjusted estimated total number of blood donors potentially exposed to MERS-CoV was approximately 15 640 blood donors compared to a lower U.S. general population-based estimate of 9610 blood donors. CONCLUSION The structured donor demographic sample-based data provided an assessment of blood donors' potential exposure to an emerging pathogen that was 63% larger than the U.S. population-based estimate. This illustrates the need for tailored blood donor-based EID risk assessments that provide more specific demographic risk intelligence and can inform appropriate regulatory decision making.
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Affiliation(s)
- Barbee I Whitaker
- U.S. Food and Drug Administration/Center for Biologics Evaluation and Research/Office of Biostatistics and Epidemiology, Silver Spring, Maryland, USA
| | - Mark Walderhaug
- U.S. Food and Drug Administration/Center for Biologics Evaluation and Research/Office of Biostatistics and Epidemiology, Silver Spring, Maryland, USA
| | - Susan Hinkins
- NORC at the University of Chicago, Chicago, Illinois, USA
| | | | - Brian Custer
- Vitalant Research Institute, Scottsdale, Arizona, USA
| | | | | | | | - Walter Bialkowski
- Blood Research Institute, Versiti Wisconsin, Milwaukee, Wisconsin, USA
| | | | | | | | | | - Beth H Shaz
- New York Blood Center, New York, New York, USA
| | - Hany Kamel
- Vitalant Research Institute, Scottsdale, Arizona, USA
| | - Mark Rebosa
- New York Blood Center, New York, New York, USA
| | - Michael Stern
- NORC at the University of Chicago, Chicago, Illinois, USA
| | - Steven A Anderson
- U.S. Food and Drug Administration/Center for Biologics Evaluation and Research/Office of Biostatistics and Epidemiology, Silver Spring, Maryland, USA
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22
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Francis RO, D’Alessandro A, Eisenberger A, Soffing M, Yeh R, Coronel E, Sheikh A, Rapido F, La Carpia F, Reisz JA, Gehrke S, Nemkov T, Thomas T, Schwartz J, Divgi C, Kessler D, Shaz BH, Ginzburg Y, Zimring JC, Spitalnik SL, Hod EA. Donor glucose-6-phosphate dehydrogenase deficiency decreases blood quality for transfusion. J Clin Invest 2020; 130:2270-2285. [PMID: 31961822 PMCID: PMC7191001 DOI: 10.1172/jci133530] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2019] [Accepted: 01/14/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUNDGlucose-6-phosphate dehydrogenase (G6PD) deficiency decreases the ability of red blood cells (RBCs) to withstand oxidative stress. Refrigerated storage of RBCs induces oxidative stress. We hypothesized that G6PD-deficient donor RBCs would have inferior storage quality for transfusion as compared with G6PD-normal RBCs.METHODSMale volunteers were screened for G6PD deficiency; 27 control and 10 G6PD-deficient volunteers each donated 1 RBC unit. After 42 days of refrigerated storage, autologous 51-chromium 24-hour posttransfusion RBC recovery (PTR) studies were performed. Metabolomics analyses of these RBC units were also performed.RESULTSThe mean 24-hour PTR for G6PD-deficient subjects was 78.5% ± 8.4% (mean ± SD), which was significantly lower than that for G6PD-normal RBCs (85.3% ± 3.2%; P = 0.0009). None of the G6PD-normal volunteers (0/27) and 3 G6PD-deficient volunteers (3/10) had PTR results below 75%, a key FDA acceptability criterion for stored donor RBCs. As expected, fresh G6PD-deficient RBCs demonstrated defects in the oxidative phase of the pentose phosphate pathway. During refrigerated storage, G6PD-deficient RBCs demonstrated increased glycolysis, impaired glutathione homeostasis, and increased purine oxidation, as compared with G6PD-normal RBCs. In addition, there were significant correlations between PTR and specific metabolites in these pathways.CONCLUSIONBased on current FDA criteria, RBCs from G6PD-deficient donors would not meet the requirements for storage quality. Metabolomics assessment identified markers of PTR and G6PD deficiency (e.g., pyruvate/lactate ratios), along with potential compensatory pathways that could be leveraged to ameliorate the metabolic needs of G6PD-deficient RBCs.TRIAL REGISTRATIONClinicalTrials.gov NCT04081272.FUNDINGThe Harold Amos Medical Faculty Development Program, Robert Wood Johnson Foundation grant 71590, the National Blood Foundation, NIH grant UL1 TR000040, the Webb-Waring Early Career Award 2017 by the Boettcher Foundation, and National Heart, Lung, and Blood Institute grants R01HL14644 and R01HL148151.
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Affiliation(s)
- Richard O. Francis
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Angelo D’Alessandro
- University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado, USA
| | | | - Mark Soffing
- Department of Nuclear Medicine, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Randy Yeh
- Department of Nuclear Medicine, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Esther Coronel
- Department of Nuclear Medicine, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Arif Sheikh
- Division of Nuclear Medicine and Molecular Imaging, Icahn School of Medicine at Mount Sinai Hospital, New York, New York, USA
| | - Francesca Rapido
- Department of Anesthesia and Critical Care Medicine, Montpellier University Hospital Gui de Chauliac, Montpellier, France
| | - Francesca La Carpia
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Julie A. Reisz
- University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado, USA
| | - Sarah Gehrke
- University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado, USA
| | - Travis Nemkov
- University of Colorado Denver-Anschutz Medical Campus, Aurora, Colorado, USA
| | - Tiffany Thomas
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Joseph Schwartz
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Chaitanya Divgi
- Department of Nuclear Medicine, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | | | | | - Yelena Ginzburg
- Division of Hematology Oncology, Icahn School of Medicine at Mount Sinai Hospital, New York, New York, USA
| | - James C. Zimring
- Carter Immunology Center, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Steven L. Spitalnik
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
| | - Eldad A. Hod
- Department of Pathology and Cell Biology, Columbia University Vagelos College of Physicians and Surgeons and NewYork-Presbyterian Hospital, New York, New York, USA
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23
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France CR, France JL, Kowalsky JM, Conatser R, Duffy L, Barnofsky N, Kessler D, Shaz B. A randomized controlled trial of a tablet‐based intervention to address predonation fears among high school donors. Transfusion 2020; 60:1450-1453. [DOI: 10.1111/trf.15790] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 03/16/2020] [Accepted: 03/16/2020] [Indexed: 01/21/2023]
Affiliation(s)
| | | | | | | | - Louisa Duffy
- New York Blood Center Enterprises New York New York USA
| | | | - Debra Kessler
- New York Blood Center Enterprises New York New York USA
| | - Beth Shaz
- New York Blood Center Enterprises New York New York USA
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24
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Sheinerman K, Tsivinsky V, Mathur A, Kessler D, Shaz B, Umansky S. Age- and sex-dependent changes in levels of circulating brain-enriched microRNAs during normal aging. Aging (Albany NY) 2019; 10:3017-3041. [PMID: 30383539 PMCID: PMC6224262 DOI: 10.18632/aging.101613] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2018] [Accepted: 10/19/2018] [Indexed: 12/19/2022]
Abstract
Aging is a major risk factor for many common and life-threatening pathologies. The development of reliable biomarkers of aging should lead to a better understanding of aging-associated processes and facilitate the development of therapeutic regimens that delay aging. Levels of 38 brain-enriched microRNAs (miRNA) circulating in plasma were measured by quantitative RT-PCR in two age groups: 26-35 and 56-65 years old. An miRNA-pair approach was used for data normalization and determination of effective miRNA biomarker ratios. Nineteen miRNAs, comprising miRNA pairs and pair combinations (classifiers) that effectively differentiated the age and sex (individual pairs: 74-95% and 68-95%, respectively; classifiers: up to 100% accuracy) groups, were selected for further analysis of plasma samples from 5 donor age groups: 26-35, 36-45, 46-55, 56-65 and 66-75 years old. Dynamic changes in the plasma concentrations of certain miRNAs occurred at different ages in females and males, with peaks in the 46-55-year-old and 56-65-year-old groups, respectively. This finding suggests that the changes in miRNA levels can reflect centrally regulated processes, including changes in hormone levels during menopause. Certain miRNAs and miRNA pairs correlated with age in the sex-stratified groups at different ages and should be investigated further as potentially promising biomarkers of brain aging.
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Affiliation(s)
| | | | | | | | - Beth Shaz
- , New York Blood Center, New York, NY 10065, USA
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25
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Barnes MC, Kessler D, Archer C, Wiles N. Prioritising physical and psychological symptoms: what are the barriers and facilitators to the discussion of anxiety in the primary care consultation? BMC Fam Pract 2019; 20:106. [PMID: 31351467 PMCID: PMC6660691 DOI: 10.1186/s12875-019-0996-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 07/15/2019] [Indexed: 11/11/2022]
Abstract
Background Anxiety is under-recorded and under-treated in the UK and is under-represented in research compared with depression. Detecting anxiety can be difficult because of co-existing conditions. GPs can be reluctant to medicalise anxiety symptoms and patients can be reluctant to disclose them, for a variety of reasons. This research addresses the gap in evidence of real-life consultations of patients with anxiety and explores how physical and psychological symptoms are discussed and prioritised by patients and GPs in primary care consultations. Methods A mixed methods study using a baseline questionnaire, video-recorded primary care consultations and interview data with patients and GPs. Results Seventeen patients with anxiety symptoms (GAD-7 score ≥ 10) completed a questionnaire, had their consultation video-recorded and took part in a semi-structured interview. Four GPs were interviewed. The main themes that emerged from GP and patients accounts as barriers and facilitators to discussing anxiety mostly mirrored each other. The GP/patient relationship and continuity of care was the main facilitator for the discussion of anxiety in the consultation. The main barriers were: attribution of or unacknowledged symptoms; co-morbidities; and time constraints. GPs overcame these barriers by making repeat appointments and employing prioritising techniques; patients by choosing an empathetic GP. Conclusions The findings add to the evidence base concerning the management of anxiety in primary care. The findings suggest that the discussion around anxiety is a process negotiated between the patient and the GP influenced by a range of barriers and facilitators. Co-existing depression and health anxieties can mask anxiety symptoms in patients. Good practice techniques such as bringing back patients for appointments to foster continuity of care and understanding can help disclosure and detection of anxiety symptoms. Future research could investigate this longitudinally and should include a wider range of GPs practices and GPs. Electronic supplementary material The online version of this article (10.1186/s12875-019-0996-6) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- M C Barnes
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
| | - D Kessler
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - C Archer
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - N Wiles
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
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26
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Goel R, Kessler D, Nandi V, Ortiz C, Hillyer CD, Shaz BH. Donor incentives improve cardiovascular disease risk profile and donation rates. Transfusion 2018; 59:250-258. [PMID: 30408199 DOI: 10.1111/trf.14989] [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] [Received: 04/07/2018] [Revised: 09/12/2018] [Accepted: 09/12/2018] [Indexed: 11/29/2022]
Abstract
BACKGROUND Blood centers may offer point-based reward systems or cardiovascular disease (CVD) screening to incentivize donors. However, combining these incentives to improve CVD risk and blood donation rates has not been studied. STUDY DESIGN AND METHODS Study was a three-arm prospective controlled trial: Group 1, control (routine points, no CVD screening); Group 2, CVD screening with routine points; and Group 3, CVD screening plus incentive double points. The primary objective was to determine if double versus routine incentive points led to improvement or maintenance of CVD risk profile assessed using self-reported changes in 1) reading food labels for calorie and fat content, 2) exercising daily, 3) reduced fat intake, and 4) increase in eating fruits and vegetables. Outcomes were compared at first and final (2-year) follow-up visits. As secondary outcome, median blood donation rates before enrollment and during study were compared. RESULTS A total of 570 donors (290 in Group 1, 134 in Group 2, 146 Group 3) were selected. At first follow-up visit, 71.4% in Group 3 versus 62.0% in Group 2 subjects reported at least one of four positive behavioral changes (p < 0.001). Increase in reading food labels for calorie and fat content was the most common change and higher in Group 3 (Group 3 from 60.9% to 79.1%; Group 2 from 67.6% to 77.5%; p < 0.001). Final evaluation showed significant increase in self-reported exercise in Group 3 only (from baseline 52.9% to 68.3%; p < 0.05). Group 3 reported higher increase in median number of donations/year during study enrollment (6.8 [IQR, 4.3-12] vs. baseline 4.6 [IQR, 3.2-7.1] donations/year) than Group 2 (5.6 [IQR, 4.2-10.5] vs. baseline 4.9 [IQR, 3.5-10.2]) and Group 1 (4.4 [IQR, 2.7-8.0] vs. baseline 4.4 [IQR, 2.5-6.0] donations/year; p < 0.001). CONCLUSION Positive donor reinforcement (double vs. routine points) resulted in better self-reported health maintenance behavior and increased donation rates.
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Affiliation(s)
- Ruchika Goel
- Division of Hematology/Oncology, Simmons Cancer Institute at SIU School of Medicine, Springfield, Illinois.,Division of Transfusion Medicine, Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, Maryland
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27
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Jimenez A, Shaz BH, Kessler D, Bloch EM. How do we manage blood donors and recipients after a positive Zika screening result? Transfusion 2017; 57:2077-2083. [PMID: 28734023 DOI: 10.1111/trf.14252] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 06/10/2017] [Accepted: 06/11/2017] [Indexed: 12/28/2022]
Abstract
Zika virus (ZIKV) is a mosquito-borne flavivirus that is the focus of an ongoing pandemic. ZIKV is notable for its severe neurologic sequelae in babies born to infected mothers. High rates of subclinical infection, as evidenced by the finding of ZIKV RNA in asymptomatic donors, raise concerns of risk to the blood supply. To date, a total of four suspected cases of transfusion-transmitted ZIKV have been reported (all in Brazil), none of which were associated with clinical infection in the transfusion recipients. In 2016, the US Food and Drug Administration issued a guidance mandating national blood donor screening for ZIKV in the United States. Five days after implementation of donor screening at our facility, we encountered a ZIKV-positive donor. We provide a practical approach to donor, recipient, and blood product management in the setting of a positive donor ZIKV result. Such has been informed by the challenges we faced in the workup of a ZIKV-reactive donation and recipient lookback.
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Affiliation(s)
| | - Beth H Shaz
- New York Blood Center, New York, New York.,Columbia University Medical Center, New York, New York
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28
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Bachegowda LS, Timm B, Dasgupta P, Hillyer CD, Kessler D, Rebosa M, France CR, Shaz BH. Impact of predictive scoring model and e-mail messages on African American blood donors. Transfusion 2017; 57:1515-1521. [DOI: 10.1111/trf.14113] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 02/04/2017] [Accepted: 02/04/2017] [Indexed: 11/28/2022]
Affiliation(s)
| | - Brad Timm
- Hindsait, Inc.; Hackensack New Jersey
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29
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Sharma RR, Lozano M, Fearon M, Bigham M, Djoudi R, Gallian P, Woimant G, Lee C, Leung JNS, Tsoi WC, Marwaha N, Sachdev S, Tadokoro K, Tani Y, Matsukura H, Shantseva N, Zhiburt E, Hindawi S, Chay J, Huang T, Teo D, Moleli N, Oyonarte S, Jayasekara SBA, Bokhorst A, van den Burg P, Hewitt P, Bianco C, Kessler D. Vox Sanguinis International Forum on donor notification and counselling strategies for markers of transfusion-transmissible infections. Vox Sang 2017; 112:e1-e21. [PMID: 28318012 DOI: 10.1111/vox.12508] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Affiliation(s)
| | | | - M Fearon
- Medical Microbiology, Canadian Blood Services, 67 College Street, Toronto, ON, Canada
| | - M Bigham
- Canadian Blood Services, 4750 Oak Street, Vancouver, BC, V6H 2N9, Canada
| | - R Djoudi
- Etablissement Français du Sang, 20, avenue du stade de France, 93218, La Plaine Saint Denis Paris, France
| | - P Gallian
- Etablissement Français du Sang, Qualification Biologique du Don, 149 Boulevard Baille, Marseille, 13005, France
| | - G Woimant
- Etablissement Français du Sang, Médecine, la Recherche et l'Innovation, La Plaine Saint-Denis Île-de-France, France
| | - C Lee
- Hong Kong Red Cross Blood Transfusion Service, 15, King's Park Rise, Kowloon Hong Kong, China
| | - J N S Leung
- Hong Kong Red Cross Blood Transfusion Service, Blood Collection and Donor Recruitment Department, 15 King's Park Rise, Kowloon, Hong Kong, China
| | - W C Tsoi
- Hong Kong Red Cross Blood Transfusion Service, Laboratory Department, 15 King's Park Rise, Kowloon Hong Kong, China
| | - N Marwaha
- Department of Transfusion Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India
| | - S Sachdev
- Department of Transfusion Medicine, Postgraduate Institute of Medical Education and Research, Chandigarh, 160012, India
| | - K Tadokoro
- Japanese Red Cross Blood Service, 1-1-3 Shiba Daimon Minato-ku, Tokyo, 105-8521, Japan
| | - Y Tani
- Japanese Red Cross Osaka Blood Center, 2-4-43 Morinomiya Joto-ku, Osaka, 536-8505, Japan
| | - H Matsukura
- Japanase Red Cross Kinki Block Blood Center, 7-5-17 Saito Asagi, Ibaraki, 567-0085, Japan
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- State Health Care Facility Sverdlovsk Regional Blood Transfusion Station, 8 Palmyro Tolyatti Street, Ekaterinburg, 620000, Russia
| | - N Shantseva
- Laboratory Diagnosis' Department, 7A, Lenin Street, Apt. 50, Pervouralsk, Sverdlovsk Reg, 623111, Russsia
| | - E Zhiburt
- Blood Transfusion Department, Pirogov National Medical Surgical Center, 70, Nizhnyaya Pervomayskaya ul., Moscow, 105203, Russia
| | - S Hindawi
- Blood Transfusion Services, King Abdulaziz University, PO Box 80215, Jeddah, 21589, Saudi Arabia
| | - J Chay
- Blood Services Group, Health Sciences Authority, 11 Outram Road, Singapore, 169078, Singapore
| | - T Huang
- Blood Services Group, Health Sciences Authority, 11 Outram Road, Singapore, 169078, Singapore
| | - D Teo
- Blood Services Group, 11 Outram Road, Singapore, 169078, Singapore
| | - N Moleli
- South African National Blood Service, 1 Constantia Boulevard, Constantia Kloof Ext 22, 1709, Gauteng, South Africa
| | - S Oyonarte
- Blood Transfusion Center, Seville, Spain
| | - S B A Jayasekara
- National Blood Centre, 555/5D, Elvitigala Mawatha, Narahenpita Colombo 05, Sri Lanka
| | - A Bokhorst
- Sanquin Blood Supply, 1066 CX, Amsterdam, The Netherlands
| | - P van den Burg
- Transfusion Medicine, Sanquin Blood Supply, Plesmanlaan 125, 1066 CX, Amsterdam, The Netherlands
| | - P Hewitt
- NHS Blood and Transplant, London, UK
| | - C Bianco
- International Society of Blood Transfusion, 6524 Elgin Lane, Bethesda, MD, 20817, USA
| | - D Kessler
- New York Blood Center, 310 East 67th Street, New York, NY, 10065, USA
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Sharma RR, Lozano M, Fearon M, Bigham M, Djoudi R, Gallian P, Woimant G, Lee C, Leung JNS, Tsoi WC, Marwaha N, Sachdev S, Tadokoro K, Tani Y, Matsukura H, Shantseva N, Zhiburt E, Hindawi S, Chay J, Huang T, Teo D, Moleli N, Oyonarte S, Jayasekara SBA, Bokhorst A, van den Burg P, Hewitt P, Bianco C, Kessler D. Vox Sanguinis International Forum on donor notification and counselling strategies for markers of transfusion-transmissible infections: summary. Vox Sang 2017; 112:388-396. [DOI: 10.1111/vox.12469] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- R. R. Sharma
- Department of Transfusion Medicine; Postgraduate Institute of Medical Education and Research; Sector 12 Chandigarh 160012 India
| | - M. Lozano
- Department of Hemotherapy and Hemostasis; University Clinic Hospital; Villaroel 170 Barcelona 08036 Spain
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Bachegowda L, Kessler D, France C, Dasgupta P, Timm B, Shaz B. Impact of Predictive Scoring Model and Email Messaging on African American Blood Donors. Am J Clin Pathol 2017. [DOI: 10.1093/ajcp/aqw191.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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Trigolet M, Boureau-Voultoury A, Ghazali A, Auerbach M, Kessler D, Oriot D. Performance et stress lors de PL sur mannequin et nourrissons. Arch Pediatr 2016. [DOI: 10.1016/j.arcped.2016.09.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Trigolet M, Boureau-Voultoury A, Ghazali A, Auerbach M, Kessler D, Oriot D. Performance et stress lors de ponctions lombaires (PL) sur mannequin et nourrissons. Arch Pediatr 2016. [DOI: 10.1016/j.arcped.2016.08.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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34
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Vahidnia F, Stramer SL, Kessler D, Shaz B, Leparc G, Krysztof DE, Glynn SA, Custer B. Recent viral infection in US blood donors and health-related quality of life (HRQOL). Qual Life Res 2016; 26:349-357. [DOI: 10.1007/s11136-016-1392-5] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/11/2016] [Indexed: 01/16/2023]
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35
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Vahidnia F, Stramer SL, Kessler D, Gonçalez TT, Shaz BH, Leparc G, Krysztof DE, Dodd RY, Glynn SA, Custer B. Motivations for donating and attitudes toward screening policies in US blood donors with viral infection. Transfusion 2016; 56:2013-20. [PMID: 27351292 DOI: 10.1111/trf.13678] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2016] [Revised: 04/11/2016] [Accepted: 04/21/2016] [Indexed: 11/26/2022]
Abstract
BACKGROUND Differences in motivating factors that contribute to the decision to donate blood between infected and uninfected donors may help to identify areas for improving donor education. STUDY DESIGN AND METHODS As part of a risk factor study, confirmed-positive donors (cases) based on serology-only (human T-lymphotropic virus [HTLV]) or serology and nucleic acid testing (NAT) or NAT-only (human immunodeficiency virus [HIV], hepatitis B virus [HBV], hepatitis C virus [HCV]), and serology-unconfirmed, NAT-negative false-positive donors (controls) were asked about motivations and opinions toward blood donation. "Test seeking" was inferred if a donor answered "yes" to "I wanted to get my test results" and one of the following: "blood center testing is confidential," "free," "more accurate than other test centers," or "tests will identify problems with my blood." Cases were compared to controls using descriptive and multivariable analyses. RESULTS Whether a case or control, the most common donation reason was "to help someone in need" (>90% in each group). After adjusting for demographic characteristics, test seeking was not significantly associated with infection status. Test seeking was more common in first-time, younger males and nonwhite, non-Hispanic donors. Of donors with HIV, 13% considered selection policies to be unfair, compared with 1, 2, 0.5, and 6% of donors with HBV, HCV, and HTLV and controls, respectively (adjusted odds ratio for HIV cases vs. controls, 3.9; 95% confidence interval, 2.3-6.7). CONCLUSIONS Most donors give to help those in need, including HIV-positive donors. Our results establish a baseline from which additional studies can be compared focused on alternate ways to reduce noncompliance and improved messaging to ensure that high-risk potential donors understand the reasons for blood donor screening policies.
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Affiliation(s)
| | | | | | | | | | | | | | - Roger Y Dodd
- American Red Cross, Holland Laboratory, Rockville, Maryland
| | - Simone A Glynn
- National Heart, Lung, and Blood Institute, Bethesda, Maryland
| | - Brian Custer
- Blood Systems Research Institute, San Francisco, California.,University of California at San Francisco, San Francisco, California
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36
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Levin AE, Williamson PC, Bloch EM, Clifford J, Cyrus S, Shaz BH, Kessler D, Gorlin J, Erwin JL, Krueger NX, Williams GV, Penezina O, Telford SR, Branda JA, Krause PJ, Wormser GP, Schotthoefer AM, Fritsche TR, Busch MP. Serologic screening of United States blood donors for Babesia microti using an investigational enzyme immunoassay. Transfusion 2016; 56:1866-74. [PMID: 27224258 PMCID: PMC6007971 DOI: 10.1111/trf.13618] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [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] [Received: 01/12/2016] [Revised: 03/07/2016] [Accepted: 03/09/2016] [Indexed: 01/28/2023]
Abstract
BACKGROUND The tick-borne pathogen Babesia microti has become recognized as the leading infectious risk associated with blood transfusion in the United States, yet no Food and Drug Administration-licensed screening tests are currently available to mitigate this risk. The aim of this study was to evaluate the performance of an investigational enzyme immunoassay (EIA) for B. microti as a screening test applied to endemic and nonendemic blood donor populations. STUDY DESIGN AND METHODS The study aimed to test 20,000 blood donors from areas of the United States considered endemic for B. microti and 10,000 donors from a nonendemic area with the investigational B. microti EIA. Repeat-reactive samples were retested by polymerase chain reaction (PCR), blood smear, immunofluorescent assay (IFA), and immunoblot assay. In parallel, serum samples from symptomatic patients with confirmed babesiosis were tested by EIA, IFA, and immunoblot assays. RESULTS A total of 38 of 13,757 (0.28%) of the donors from New York, 7 of 4583 (0.15%) from Minnesota, and 11 of 8363 (0.13%) from New Mexico were found repeat reactive by EIA. Nine of the 56 EIA repeat-reactive donors (eight from New York and one from Minnesota) were positive by PCR. The specificity of the assay in a nonendemic population was 99.93%. Among IFA-positive clinical babesiosis patients, the sensitivity of the assay was 91.1%. CONCLUSION The B. microti EIA detected PCR-positive, potentially infectious blood donors in an endemic population and exhibited high specificity among uninfected and unexposed individuals. The EIA promises to provide an effective tool for blood donor screening for B. microti in a format amenable to high-throughput and cost-effective screening.
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Affiliation(s)
| | | | - Evan M Bloch
- Blood Systems Research Institute, San Francisco, California.,Johns Hopkins University School of Medicine, Baltimore, Maryland
| | | | | | | | | | - Jed Gorlin
- Innovative Blood Resources/Memorial Blood Centers, St Paul, Minnesota
| | | | | | | | | | - Sam R Telford
- Tufts University Cummings School of Veterinary Medicine, North Grafton, Massachusetts
| | - John A Branda
- Massachusetts General Hospital, Boston, Massachusetts
| | - Peter J Krause
- Yale School of Public Health and Yale School of Medicine, New Haven, Connecticut
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37
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Bloch EM, Levin AE, Williamson PC, Cyrus S, Shaz BH, Kessler D, Gorlin J, Bruhn R, Lee TH, Montalvo L, Kamel H, Busch MP. A prospective evaluation of chronic Babesia microti infection in seroreactive blood donors. Transfusion 2016; 56:1875-82. [PMID: 27184253 DOI: 10.1111/trf.13617] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2016] [Revised: 03/07/2016] [Accepted: 03/09/2016] [Indexed: 01/30/2023]
Abstract
BACKGROUND Babesia microti is the foremost infectious risk to the US blood supply for which a Food and Drug Administration (FDA)-licensed test is unavailable for donation screening. Characterization of the antibody response to B. microti and correlation with parasitemia is necessary to guide screening and donor management policies. STUDY DESIGN AND METHODS During an FDA licensure trial, blood donors were prospectively screened (July-November 2013) using a B. microti-specific antibody enzyme immunoassay (EIA, Immunetics) in highly endemic (New York [NY]; n = 13,688), moderately endemic (Minnesota [MN]; n = 4583), and nonendemic (New Mexico [NM]; n = 8451) regions. Blood donors with repeat-reactive (RR) results participated in a 12-month prospective cohort study using B. microti EIA, immunofluorescent assay, polymerase chain reaction (PCR), blood smear, and clinical questionnaire. RESULTS Thirty-seven (61.67%; 24 NY, seven MN, six NM) of 60 eligible RR donors enrolled in the study; 20 of 37 (54%) completed the 12-month follow-up visit of which 15 (75%) were still seroreactive. Nine PCR-positive donors were identified during index screening; five participated in the follow-up study, three were PCR positive at 6 months, and two remained positive at final follow-up (378 and 404 days). Most RR donors displayed low-level seroreactivity that was either stable or waning during follow-up. The level and pattern of reactivity correlated poorly with PCR positivity. CONCLUSION The findings indicate prolonged seropositivity in blood donors. Although rare, asymptomatic, persistent PCR positivity supports the current policy of indefinite deferral for donors with a history of babesiosis or positive test results. Repeat testing by PCR and serology will be necessary if reinstatement is to be considered.
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Affiliation(s)
- Evan M Bloch
- School of Medicine, Johns Hopkins University, Baltimore, Maryland.,Blood Systems Research Institute, San Francisco, California
| | | | | | | | | | | | - Jed Gorlin
- Innovative Blood Resources/Memorial Blood Center, St Paul, Minnesota
| | - Roberta Bruhn
- Blood Systems Research Institute, San Francisco, California
| | - Tzong-Hae Lee
- Blood Systems Research Institute, San Francisco, California
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38
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Li H, Condon F, Kessler D, Nandi V, Rebosa M, Westerman M, Shaz BH, Ginzburg Y. Evidence of relative iron deficiency in platelet- and plasma-pheresis donors correlates with donation frequency. J Clin Apher 2016; 31:551-558. [PMID: 26915437 DOI: 10.1002/jca.21448] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2015] [Revised: 01/06/2016] [Accepted: 01/11/2016] [Indexed: 12/31/2022]
Abstract
BACKGROUND The loss of iron stores and resulting iron deficiency is well documented in whole blood or red blood cell donors. We hypothesized that relative iron deficiency also occurs as a result of more frequent platelet- and plasma-pheresis (apheresis) donation. MATERIALS AND METHODS To test this hypothesis, we proposed a pilot cross-sectional study to analyze erythropoiesis- and iron-related parameters in white male apheresis donors: (1) relative to controls, (2) in correlation with apheresis donation frequency, and (3) in correlation with pre-donation platelet count. RESULTS Fifty eligible apheresis donors and eight controls were enrolled in the study. Apheresis donors were found to have a lower serum ferritin and serum hepcidin and exhibited evidence of iron restricted erythropoiesis relative to controls. Furthermore, among donors, lower MCV, CHr , hepcidin concentration, and serum ferritin were observed in more frequent apheresis donors. Correlations between donation frequency and hepcidin and ferritin were noted in apheresis donors. CONCLUSIONS This pilot study demonstrates that apheresis donors are relatively iron deficient compared to controls and supports the premise that frequent apheresis donation correlates with relatively iron restricted erythropoiesis. An analysis of iron- and erythropoiesis-related parameters in a broader population of frequent apheresis donors (i.e., female and non-white donors) may demonstrate larger deficits and an even greater potential benefit of iron replacement. J. Clin. Apheresis 31:551-558, 2016. © 2015 Wiley Periodicals, Inc.
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Affiliation(s)
- Huihui Li
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Frances Condon
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Debra Kessler
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Vijay Nandi
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Mark Rebosa
- Blood Operations, New York Blood Center, New York, New York
| | | | - Beth H Shaz
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
| | - Yelena Ginzburg
- Lindsley F. Kimball Research Institute, New York Blood Center, New York, New York
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39
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Custer B, Kessler D, Vahidnia F, Leparc G, Krysztof DE, Shaz B, Kamel H, Glynn S, Dodd RY, Stramer SL. Risk factors for retrovirus and hepatitis virus infections in accepted blood donors. Transfusion 2014; 55:1098-107. [PMID: 25470984 DOI: 10.1111/trf.12951] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 10/13/2014] [Accepted: 10/13/2014] [Indexed: 01/14/2023]
Abstract
BACKGROUND Risk factor surveillance among infected blood donors provides information on the effectiveness of eligibility assessment and is critical for reducing risk of transfusion-transmitted infection. STUDY DESIGN AND METHODS American Red Cross, Blood Systems, Inc., New York Blood Center, and OneBlood participated in a case-control study from 2010 to 2013. Donors with serologic and nucleic acid testing (NAT) or NAT-only confirmed human immunodeficiency virus (HIV), hepatitis B virus (HBV), hepatitis C virus (HCV), or serology-confirmed human T-lymphotropic virus (HTLV) infections (cases) and donors with false-positive results (controls) were interviewed for putative behavioral and demographic risks. Frequencies and adjusted odds ratios (AORs) from multivariable logistic regression analyses for each exposure in cases compared to controls are reported. RESULTS In the study, 196 HIV, 292 HBV, 316 HCV, and 198 HTLV cases, and 1587 controls were interviewed. For HIV, sex with an HIV+ person (AOR, 132; 95% confidence interval [CI], 27-650) and male-male sex (AOR, 62; 95% CI, 27-140) were primary risk factors. For HBV, first-time donor status (AOR, 16; 95% CI, 10-27), sex with an injection drug user (IDU; AOR, 11; 95% CI, 5-28), and black race (AOR, 11; 95% CI, 6-19) were primary. For HCV, IDU (AOR, 42; 95% CI, 13-136), first time (AOR, 18; 95% CI, 10-30), and a family member with hepatitis (AOR, 15; 95% CI, 6-40) were primary. For HTLV, sex with an IDU (AOR, 22; 95% CI, 10-48), 55 years old or more (AOR, 21; 95% CI, 8-52], and first time (AOR, 15; 95% CI, 9-24) were primary. CONCLUSIONS Despite education efforts and risk screening, individuals with deferrable risks still donate; they may fail to understand or ignore or do not believe they have risk. Recipients have potential transfusion-transmitted infection risk because of nondisclosure by donors.
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Affiliation(s)
- Brian Custer
- Blood Systems Research Institute, San Francisco, California.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | | | | | | | - David E Krysztof
- Scientific Support Office, American Red Cross, Gaithersburg, Maryland
| | - Beth Shaz
- New York Blood Center, New York, New York
| | - Hany Kamel
- Blood Systems, Inc., Scottsdale, Arizona
| | - Simone Glynn
- National Heart, Lung and Blood Institute, National Institutes of Health, Rockville, Maryland
| | - Roger Y Dodd
- Holland Laboratory, American Red Cross, Rockville, Maryland
| | - Susan L Stramer
- Scientific Support Office, American Red Cross, Gaithersburg, Maryland
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40
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Levin AE, Williamson PC, Erwin JL, Cyrus S, Bloch EM, Shaz BH, Kessler D, Telford SR, Krause PJ, Wormser GP, Ni X, Wang H, Krueger NX, Caglioti S, Busch MP. Determination of Babesia microti seroprevalence in blood donor populations using an investigational enzyme immunoassay. Transfusion 2014; 54:2237-44. [PMID: 24995863 PMCID: PMC4163072 DOI: 10.1111/trf.12763] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [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] [Received: 03/12/2014] [Revised: 05/19/2014] [Accepted: 05/19/2014] [Indexed: 12/13/2022]
Abstract
BACKGROUND Transfusion-transmitted babesiosis caused by Babesia microti has emerged as a significant risk to the US blood supply. This study estimated the prevalence of B. microti antibodies in blood donors using an investigational enzyme immunoassay (EIA). STUDY DESIGN AND METHODS A peptide-based EIA that detects both immunoglobulin (Ig)G and IgM antibodies to B. microti was developed and validated. Donor samples randomly selected from areas defined as high-risk endemic, lower-risk endemic, and nonendemic for B. microti were deidentified and tested using the investigational EIA. Samples that were EIA repeat reactive were further tested by B. microti immunofluorescent assay (IFA), polymerase chain reaction (PCR) on red blood cell lysates, and peripheral blood smear examination. A random subset of 1272 samples from high-risk endemic areas was tested by IFA, PCR, and peripheral blood smear in parallel with EIA. RESULTS Among 15,000 donations tested with the investigational B. microti EIA, EIA repeat-reactive rates were 1.08% (54/5000) in a high-risk endemic area, 0.74% (37/5000) in a lower-risk area, and 0.40% (20/5000) in a nonendemic area. After application of a revised cutoff, these values were reduced to 0.92%, (46/5000), 0.54% (27/5000), and 0.16% (8/5000). Overall concordance between EIA and IFA among donor samples was 99.34%. One seropositive sample was positive by PCR. CONCLUSION The seroprevalence of B. microti in blood donors in a high-risk area measured by an investigational EIA was approximately 1%. The EIA shows promise as an efficient high-throughput blood donor screening assay for B. microti.
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41
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Haase AR, Kerber MA, Kessler D, Kronenbitter J, Krüger H, Lutz O, Müller M, Nolle A. Nuclear Magnetic Shielding and Quadrupole Coupling of 133Cs in Cesium Salt Powders. ACTA ACUST UNITED AC 2014. [DOI: 10.1515/zna-1977-0907] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Abstract
NMR signals of 133Cs have been measured in CsI, CsBr, CsCl, Cs2CO3, Cs2SO4, CsNO3 and Cs2CrO4 powders relative to a 0.5 molal aqueous solution of CsCl. Combining these results with the shielding constant of the solution, which has been determined in former measurements, the nuclear magnetic shielding of 133Cs in the crystalline powders can be given in an atomic reference scale. The theoretical values of the shielding constant of 133Cs in CsCl, CsBr and Csl agree only in the order of magnitude with the experimental ones. For 133Cs in Cs2SO4 a first-order quadrupole pattern has been observed.
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Affiliation(s)
- A. R. Haase
- Physikalisches Institut der Universität Tübingen, Germany
| | - M. A. Kerber
- Physikalisches Institut der Universität Tübingen, Germany
| | - D. Kessler
- Physikalisches Institut der Universität Tübingen, Germany
| | | | - H. Krüger
- Physikalisches Institut der Universität Tübingen, Germany
| | - O. Lutz
- Physikalisches Institut der Universität Tübingen, Germany
| | - M. Müller
- Physikalisches Institut der Universität Tübingen, Germany
| | - A. Nolle
- Physikalisches Institut der Universität Tübingen, Germany
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42
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Gauß W, Günther S, Haase AR, Kerber M, Kessler D, Kronenbitter J, Krüger H, Lutz O, Nolle A, Schrade P, Schüle M, Siegloch GE. NMR Spectra of Alkali and Halogen Nuclei in Alkali and Halogen Salts. ACTA ACUST UNITED AC 2014. [DOI: 10.1515/zna-1978-0811] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
NMR signals of 7Li, 23Na, 35Cl, 39K, 79Br, 87Rb and 127I have been measured in various alkali and halogen salt powders relative to well defined aqueous solutions. With the known shielding constants of some of these solutions the nuclear magnetic shielding constants of the alkali and chlorine nuclei in crystalline powders were evaluated in the atomic reference scale. The theoretical values of the shielding constants in alkali halides do not agree even in the order of magnitude with the experimental ones in some cases.
For 23Na first-order and second-order quadrupole patterns have been observed and the quadrupole coupling constants are given.
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Affiliation(s)
- W. Gauß
- Physikalisches Institut der Universität Tübingen
| | - S. Günther
- Physikalisches Institut der Universität Tübingen
| | - A. R. Haase
- Physikalisches Institut der Universität Tübingen
| | - M. Kerber
- Physikalisches Institut der Universität Tübingen
| | - D. Kessler
- Physikalisches Institut der Universität Tübingen
| | | | - H. Krüger
- Physikalisches Institut der Universität Tübingen
| | - O. Lutz
- Physikalisches Institut der Universität Tübingen
| | - A. Nolle
- Physikalisches Institut der Universität Tübingen
| | - P. Schrade
- Physikalisches Institut der Universität Tübingen
| | - M. Schüle
- Physikalisches Institut der Universität Tübingen
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43
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Ginzburg Y, Kessler D, Kang S, Shaz B, Wormser GP. Why hasBorrelia burgdorferinot been transmitted by blood transfusion? Transfusion 2013; 53:2822-6. [DOI: 10.1111/trf.12116] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2012] [Revised: 12/04/2012] [Accepted: 12/04/2012] [Indexed: 11/26/2022]
Affiliation(s)
- Yelena Ginzburg
- Medical Programs and Services; New York Blood Center; New York New York
- Pathology Department; SUNY Downstate Medical Center; Brooklyn New York
- Division of Infectious Diseases; New York Medical College; Valhalla New York
| | - Debra Kessler
- Medical Programs and Services; New York Blood Center; New York New York
- Pathology Department; SUNY Downstate Medical Center; Brooklyn New York
- Division of Infectious Diseases; New York Medical College; Valhalla New York
| | - Steven Kang
- Medical Programs and Services; New York Blood Center; New York New York
- Pathology Department; SUNY Downstate Medical Center; Brooklyn New York
- Division of Infectious Diseases; New York Medical College; Valhalla New York
| | - Beth Shaz
- Medical Programs and Services; New York Blood Center; New York New York
- Pathology Department; SUNY Downstate Medical Center; Brooklyn New York
- Division of Infectious Diseases; New York Medical College; Valhalla New York
| | - Gary P. Wormser
- Medical Programs and Services; New York Blood Center; New York New York
- Pathology Department; SUNY Downstate Medical Center; Brooklyn New York
- Division of Infectious Diseases; New York Medical College; Valhalla New York
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Ginzburg Y, Kessler D, Narici M, Caltabiano M, Rebosa M, Strauss D, Shaz B. How do I provide leukapheresis products? Blood center experience and evidence for process improvement. Transfusion 2012; 53:2123-9. [PMID: 23113726 DOI: 10.1111/j.1537-2995.2012.03938.x] [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] [Received: 07/11/2012] [Revised: 09/11/2012] [Accepted: 09/12/2012] [Indexed: 11/28/2022]
Abstract
BACKGROUND The past few decades have seen a resurgence of interest in leukapheresis products to improve the survival of infected patients with neutropenia. These products have a short shelf life and require donor stimulation with dexamethasone before collection. Additionally, a system with good communications and logistical support is essential. A recent survey of blood centers in North America revealed that the majority of centers collecting leukapheresis products use steroid-stimulated donors. The survey results suggested that an analysis of the process and potential process improvement would be of interest to the transfusion medicine community. STUDY DESIGN AND METHODS Data from 2008 to 2011 regarding donor selection, donor dexamethasone stimulation, leukapheresis collection, and correlations between potentially pertinent variables for process improvement were analyzed. Results from an analysis of cost are also included. RESULTS We evaluate 432 leukapheresis donations and demonstrate correlations between 1) pre- and poststimulation white blood cell (WBC) count (p<0.0001), 2) interval (donor stimulation to collection) and poststimulation WBC count (p<0.0001), and 3) poststimulation WBC count and leukapheresis product granulocyte yield (p<0.0001). CONCLUSIONS Significant improvement in granulocyte quality and yield can be accomplished in dexamethasone-stimulated donors, by selecting eligible donors with relatively high normal prestimulation WBC counts and/or previously good responses to dexamethasone, increasing the duration between dexamethasone stimulation and granulocyte collection, and maintaining optimal hematocrit (5%-10%) in granulocyte collections. Because the majority of surveyed blood centers collecting stimulated granulocytes use steroids alone, modifications presented here may prove useful. Further assessment of correlation between granulocyte yield and clinical outcome will await results of additional studies.
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Abstract
BACKGROUND Blacks have significantly lower blood donation rates than whites. Many views, experiences, and behaviors associated with blood donation are unique to black culture. Evidence suggests that culturally tailored health promotion programs help with increasing black blood donation. To be effective, tailored interventions should be based on valid and reliable measures. The Transtheoretical Model's (TTM) Processes of Change (POC) construct provides an assessment of participants' covert and overt activities and experiences in blood donation. This study describes development and validation of POC for increasing blood donation tailored to blacks. STUDY DESIGN AND METHODS Cross-sectional measure development with online survey dissemination was used in 566 blacks in the Northeastern United States. Factor analytic structural modeling procedures were used to examine validity of the POC measure. Blood donation POC were examined in participants representing a range of blood donation history and intentions (nondonors, sometimes donors, regular donors) based on an established algorithm. RESULTS Confirmatory analyses replicated the theoretically expected structure of POC scales which is a 10-factor, fully correlated best-fit model. Expected POC patterns by Stages of Change based on theoretical and empirical predictions were confirmed. The range of effect sizes for 10 POC were η(2) = 0.04 to 0.25, indicating that TTM POC are strong strategies in blood donation decision making for blacks and can be applied to interventions to increase blood donation for a minority population. CONCLUSION POC measure was internally and externally valid in a sample of blacks. Interventions can utilize the POC measure to guide stage-matched interventions to encourage use of relevant experiential and behavioral strategies to increase blood donation.
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Affiliation(s)
- Nicole R Amoyal
- Cancer Prevention Research Center, University of Rhode Island, Kingston, Rhode Island 02881, USA.
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Kessler D, Grun G, Heider D, Morgner J, Jendrossek V. 468 Concerted Action of Rab11 and Rab25 in Vesicle Trafficking During Cell Migration. Eur J Cancer 2012. [DOI: 10.1016/s0959-8049(12)71141-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Bould H, Panicker V, Kessler D, Durant C, Lewis G, Dayan C, Evans J. Investigation of thyroid dysfunction is more likely in patients with high psychological morbidity. Fam Pract 2012; 29:163-7. [PMID: 21890841 DOI: 10.1093/fampra/cmr059] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Mild or subclinical hypothyroidism [raised thyroid-stimulating hormone (TSH) but normal free thyroxine (T4)] affects 5-10% of adults. Symptoms are non-specific and TSH levels are needed for diagnosis. OBJECTIVES We explore the relationship between thyroid function and psychological distress and investigate the usefulness of an expert-designed Thyroid Symptom Questionnaire (TSQ) in identifying hypothyroidism. METHODS DEPTH (DEPression and THyroid) is a cross-sectional study of 325 patients recruited from general practices in Bristol, for whom thyroid function tests were requested by the GP. Subjects completed the TSQ, General Health Questionnaire (GHQ-12) and Patient Health Questionnaire (PHQ) and had blood tests for TSH and free T4. RESULTS The mean age was 45.7 years; 252 subjects (78%) were female; median TSH was 1.6. Psychological morbidity in this population is high: 54.2% have a GHQ-12 score >3, indicating psychological distress. We found no relationship between TSH and psychological distress [adjusted odds ratio 1.02 (95% confidence interval 0.91-1.13), P = 0.78]. The prevalence of hypothyroidism was 6.2% (95% confidence interval 3.8-9.5%). We found no evidence of an unadjusted association between TSQ score and subclinical hypothyroidism [adjusted odds ratio of 1.09 (95% confidence interval 0.95-1.24), P = 0.23]. CONCLUSIONS Those referred for thyroid function tests, although no more likely than others to have hypothyroidism, have high rates of psychological distress. When mild (subclinical) hypothyroidism is detected in patients with psychological distress, it is important that GPs are aware that this is likely to be coincidental rather than causal and offer appropriate treatment.
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Affiliation(s)
- H Bould
- Academic Unit of Psychiatry, School of Social and Community Medicine, University of Bristol, Oakfield Grove, Bristol, UK.
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Delwart E, Slikas E, Stramer SL, Kamel H, Kessler D, Krysztof D, Tobler LH, Carrick DM, Steele W, Todd D, Wright DJ, Kleinman SH, Busch MP. Genetic diversity of recently acquired and prevalent HIV, hepatitis B virus, and hepatitis C virus infections in US blood donors. J Infect Dis 2012; 205:875-85. [PMID: 22293432 DOI: 10.1093/infdis/jir862] [Citation(s) in RCA: 53] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
BACKGROUND Genetic variations of human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV) can affect diagnostic assays and therapeutic interventions. Recent changes in prevalence of subtypes/genotypes and drug/immune-escape variants were characterized by comparing recently infected vs more remotely infected blood donors. METHODS Infected donors were identified among approximately 34 million US blood donations, 2006-2009; incident infections were defined as having no or low antiviral antibody titers. Viral genomes were partially sequenced. RESULTS Of 321 HIV strains (50% incident), 2.5% were non-B HIV subtypes. Protease and reverse transcriptase (RT) inhibitor resistance mutations were found in 2% and 11% of infected donors, respectively. Subtypes in 278 HCV strains (31% incident) yielded 1a>1b>3a>2b>2a>4a>6d, 6e: higher frequencies of 3a in incident cases vs higher frequencies of 1b in prevalent cases were found (P = .04). Twenty subgenotypes among 193 HBV strains (26% incident) yielded higher frequencies of A2 in incident cases and higher frequencies of A1, B2, and B4 in prevalent cases (P = .007). No HBV drug resistance mutations were detected. Six percent of incident vs 26% of prevalent HBV contained antibody neutralization escape mutations (P = .01). CONCLUSIONS Viral genetic variant distribution in blood donors was similar to that seen in high-risk US populations. Blood-borne viruses detected through large-scale routine screening of blood donors can complement molecular surveillance studies of highly exposed populations.
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Affiliation(s)
- Eric Delwart
- Blood Systems Research Institute, San Francisco, CA, USA.
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Roth WK, Busch MP, Schuller A, Ismay S, Cheng A, Seed CR, Jungbauer C, Minsk PM, Sondag-Thull D, Wendel S, Levi JE, Fearon M, Delage G, Xie Y, Jukic I, Turek P, Ullum H, Tefanova V, Tilk M, Reimal R, Castren J, Naukkarinen M, Assal A, Jork C, Hourfar MK, Michel P, Offergeld R, Pichl L, Schmidt M, Schottstedt V, Seifried E, Wagner F, Weber-Schehl M, Politis C, Lin CK, Tsoi WC, O'Riordan J, Gottreich A, Shinar E, Yahalom V, Velati C, Satake M, Sanad N, Sisene I, Bon AH, Koppelmann M, Flanagan P, Flesland O, Brojer E, Lętowska M, Nascimento F, Zhiburt E, Chua SS, Teo D, Stezinar SL, Vermeulen M, Reddy R, Park Q, Castro E, Eiras A, Gonzales Fraile I, Torres P, Ekermo B, Niederhauser C, Chen H, Oota S, Brant LJ, Eglin R, Jarvis L, Mohabir L, Brodsky J, Foster G, Jennings C, Notari E, Stramer S, Kessler D, Hillyer C, Kamel H, Katz L, Taylor C, Panzer S, Reesink HW. International survey on NAT testing of blood donations: expanding implementation and yield from 1999 to 2009. Vox Sang 2011; 102:82-90. [PMID: 21933190 DOI: 10.1111/j.1423-0410.2011.01506.x] [Citation(s) in RCA: 146] [Impact Index Per Article: 11.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Abstract
Blood centers have a central role in the community through recruitment and donation, and these community interactions enable blood centers to have a critical role in public health. Some public health initiatives are inherent in the blood center, such as providing human immunodeficiency virus educational material, whereas other initiatives have been actively created, such as cardiovascular screening, as a means to increase blood donor rates and increase the blood center's community interaction. These public health initiatives have been inconsistently practiced by blood collection centers over many years. An understanding of the current literature and exploring the potential role of blood centers in public health, while considering cost and value of these programs, are necessary for blood centers to evaluate the value of implementing these programs. The studies do not support a significant improvement in donor health or significant increase in donation rates through these public health initiatives. However, no study published thus far has been comprehensive enough or carried out long enough to adequately evaluate the value of providing health initiatives to donors.
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Affiliation(s)
- Beth H Shaz
- New York Blood Center, 310 E 67 St, New York, NY 10065, USA.
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