1
|
Ruiz JM, Hughes SD, Flores M, Custer B, Ingram M, Carvajal S, Rosales C, Kamel H, Vassallo R, France CR. Neighborhood ethnic density and disparities in proximal blood donation opportunities. Transfusion 2024. [PMID: 38660952 DOI: 10.1111/trf.17847] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 04/05/2024] [Accepted: 04/07/2024] [Indexed: 04/26/2024]
Abstract
BACKGROUND Despite being the largest racial/ethnic minority group in the United States, Hispanic/Latinos (H/L) are significantly underrepresented among blood donors. A lack of proximal blood donation opportunities may be one factor contributing to these disparities. However, few studies have investigated this possibility. STUDY DESIGN AND METHODS Proprietary data on mobile blood collections in Maricopa County, Arizona, were gathered for the period of January 01, 2022 to April 30, 2022 and paired with census tract information using ArcGIS. Maricopa County encompasses the city of Phoenix with a total population of approximately 4.5 million people, including 1.5 million H/L residents. Blood drive count was regressed on H/L ethnic density and total population, and model estimates were exponentiated to obtain odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS During the specified period, approximately 27,000 red blood cell units were collected through mobile drives. Consistent with expectations, when controlling for total neighborhood population, each 10% increase in H/L ethnic density lowered the odds of having a blood drive in the corresponding neighborhood by 12% (OR = 0.88, 95% CI (0.83, 0.92), p < .001). DISCUSSION These findings provide initial evidence of fewer proximal donation opportunities in areas with greater H/L population density which may contribute to H/L underrepresentation in blood donation and the need for more inclusive collection efforts. Improved access to blood collection is modifiable and could help to increase the overall blood supply, enhance the ability to successfully match specific blood antigen needs of an increasingly diverse population, and bring about a more resilient blood system.
Collapse
Affiliation(s)
- John M Ruiz
- Department of Psychology, University of Arizona, Tucson, Arizona, USA
| | - Shana D Hughes
- Vitalant Research Institute, San Francisco, California, USA
| | - Melissa Flores
- Department of Psychology, University of Arizona, Tucson, Arizona, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
| | - Maia Ingram
- School of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Scott Carvajal
- School of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Cecilia Rosales
- School of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Hany Kamel
- Vitalant, Medical Affairs, Scottsdale, Arizona, USA
| | | | | |
Collapse
|
2
|
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.
Collapse
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
| | | | | |
Collapse
|
3
|
Yu EA, Stone M, Bravo MD, Grebe E, Bruhn RL, Lanteri MC, Townsend M, Kamel H, Jones JM, Busch MP, Custer B. Associations of Temporal Cardiometabolic Patterns and Incident SARS-CoV-2 Infection Among U.S. Blood Donors With Serologic Evidence of Vaccination. AJPM Focus 2024; 3:100186. [PMID: 38304025 PMCID: PMC10832374 DOI: 10.1016/j.focus.2024.100186] [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] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Introduction Cardiometabolic diseases are associated with greater COVID-19 severity; however, the influences of cardiometabolic health on SARS-CoV-2 infections after vaccination remain unclear. Our objective was to investigate the associations between temporal blood pressure and total cholesterol patterns and incident SARS-CoV-2 infections among those with serologic evidence of vaccination. Methods In this prospective cohort of blood donors, blood samples were collected in 2020-2021 and assayed for binding antibodies of SARS-CoV-2 nucleocapsid protein antibody seropositivity. We categorized participants into intraindividual pattern subgroups of blood pressure and total cholesterol (persistently, intermittently, or not elevated [systolic blood pressure <130 mmHg, diastolic blood pressure <80 mmHg, total cholesterol <200 mg/dL]) across the study time points. Results Among 13,930 donors with 39,736 donations representing 1,127,071 person-days, there were 221 incident SARS-CoV-2 infections among those with serologic evidence of vaccination (1.6%). Intermittent hypertension was associated with greater SARS-CoV-2 infections among those with serologic evidence of vaccination risk (adjusted incidence rate ratio=2.07; 95% CI=1.44, 2.96; p<0.01) than among participants with consistent normotension on the basis of a multivariable Poisson regression. Among men, intermittently elevated total cholesterol (adjusted incidence rate ratio=1.90; 95% CI=1.32, 2.74; p<0.01) and higher BMI at baseline (adjusted hazard ratio=1.44; 95% CI=1.07, 1.93; p=0.01; per 10 units) were associated with greater SARS-CoV-2 infections among those with serologic evidence of vaccination probability; these associations were null among women (both p>0.05). Conclusions Our findings underscore that the benefits of cardiometabolic health, particularly blood pressure, include a lower risk of SARS-CoV-2 infection after vaccination.
Collapse
Affiliation(s)
- Elaine A. Yu
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | - Mars Stone
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | | | - Eduard Grebe
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | - Roberta L. Bruhn
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | - Marion C. Lanteri
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
- Creative Testing Solutions, Tempe, Arizona
| | | | | | | | - Michael P. Busch
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
- Vitalant, Scottsdale, Arizona
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
- Vitalant, Scottsdale, Arizona
| |
Collapse
|
4
|
Faddy HM, Osiowy C, Custer B, Busch M, Stramer SL, Adesina O, van de Laar T, Tsoi WC, Styles C, Kiely P, Margaritis A, Kwon SY, Qiu Y, Deng X, Lewin A, Jørgensen SW, Erikstrup C, Juhl D, Sauleda S, Camacho Rodriguez BA, Coral LJCS, Gaviria García PA, Oota S, O'Brien SF, Wendel S, Castro E, Navarro Pérez L, Harvala H, Davison K, Reynolds C, Jarvis L, Grabarczyk P, Kopacz A, Łętowska M, O'Flaherty N, Young F, Williams P, Burke L, Chua SS, Muylaert A, Page I, Jones A, Niederhauser C, Vermeulen M, Laperche S, Gallian P, Sawadogo S, Satake M, Gharehbaghian A, Addas-Carvalho M, Blanco S, Gallego SV, Seltsam A, Weber-Schehl M, Al-Riyami AZ, Al Maamari K, Alawi FB, Pandey HC, Mbanya D, França RA, Charlewood R. International review of blood donation nucleic acid amplification testing. Vox Sang 2024; 119:315-325. [PMID: 38390819 DOI: 10.1111/vox.13592] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/01/2024] [Accepted: 01/02/2024] [Indexed: 02/24/2024]
Abstract
BACKGROUND AND OBJECTIVES Nucleic acid amplification testing (NAT), in blood services context, is used for the detection of viral and parasite nucleic acids to reduce transfusion-transmitted infections. This project reviewed NAT for screening blood donations globally. MATERIALS AND METHODS A survey on NAT usage, developed by the International Society of Blood Transfusion Working Party on Transfusion-transmitted Infectious Diseases (ISBT WP-TTID), was distributed through ISBT WP-TTID members. Data were analysed using descriptive statistics. RESULTS Forty-three responses were received from 32 countries. Increased adoption of blood donation viral screening by NAT was observed over the past decade. NAT-positive donations were detected for all viruses tested in 2019 (proportion of donations positive by NAT were 0.0099% for human immunodeficiency virus [HIV], 0.0063% for hepatitis C virus [HCV], 0.0247% for hepatitis B virus [HBV], 0.0323% for hepatitis E virus [HEV], 0.0014% for West Nile virus [WNV] and 0.00005% for Zika virus [ZIKV]). Globally, over 3100 NAT-positive donations were identified as NAT yield or solely by NAT in 2019 and over 22,000 since the introduction of NAT, with HBV accounting for over half. NAT-positivity rate was higher in first-time donors for all viruses tested except WNV. During 2019, a small number of participants performed NAT for parasites (Trypanosoma cruzi, Babesia spp., Plasmodium spp.). CONCLUSION This survey captures current use of blood donation NAT globally. There has been increased NAT usage over the last decade. It is clear that NAT contributes to improving blood transfusion safety globally; however, there is a need to overcome economic barriers for regions/countries not performing NAT.
Collapse
Affiliation(s)
- Helen M Faddy
- School of Health, University of the Sunshine Coast, Petrie, Queensland, Australia
- Research and Development, Australian Red Cross Lifeblood, Brisbane, Queensland, Australia
| | - Carla Osiowy
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Michael Busch
- Vitalant Research Institute, San Francisco, California, USA
| | - Susan L Stramer
- Scientific Affairs, American Red Cross, Gaithersburg, Maryland, USA
| | | | - Thijs van de Laar
- Department of Donor Medicine Research, Sanquin Research, Amsterdam, the Netherlands
| | - Wai-Chiu Tsoi
- Hong Kong Red Cross Blood Transfusion Service, Kowloon, Hong Kong
| | - Claire Styles
- Pathology & Clinical Governance, Australian Red Cross Lifeblood, Melbourne, Victoria, Australia
| | - Phil Kiely
- Pathology & Clinical Governance, Australian Red Cross Lifeblood, Melbourne, Victoria, Australia
| | - Angelo Margaritis
- Manufacturing & Logistics, Australian Red Cross Lifeblood, Melbourne, Victoria, Australia
| | - So-Yong Kwon
- Korean Red Cross Blood Services, Wonju, Republic of Korea
| | - Yan Qiu
- Beijing Red Cross Blood Centre, Beijing, China
| | | | - Antoine Lewin
- Medical Affairs and Innovation, Héma-Québec, Saint-Laurent, Quebec, Canada
| | | | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - David Juhl
- University Hospital of Schleswig-Holstein, Institute of Transfusion Medicine, Kiel, Germany
| | | | | | | | | | - Sineenart Oota
- National Blood Centre, Thai Red Cross Society, Bangkok, Thailand
| | | | | | - Emma Castro
- Centro de Transfusión de la Comunidad Valenciana, Valencia, Spain
| | | | - Heli Harvala
- Microbiology Services, NHS Blood and Transplant, Bristol, UK
| | - Katy Davison
- NHSBT/UKHSA Epidemiology Unit, UKHSA, London, UK
| | | | - Lisa Jarvis
- Scottish National Blood Transfusion Service, Edinburgh, Scotland, UK
| | - Piotr Grabarczyk
- Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Aneta Kopacz
- Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | | | | | - Fiona Young
- Irish Blood Transfusion Service, Dublin, Ireland
| | | | - Lisa Burke
- Irish Blood Transfusion Service, Dublin, Ireland
| | | | | | - Isabel Page
- Centro de Hemoterapia y Hemodonacion de Castilla y Leon, Valladolid, Spain
| | - Ann Jones
- Welsh Blood Service, Pontyclun, Wales, UK
| | | | - Marion Vermeulen
- The South African National Blood Service, Weltevreden Park, South Africa
| | - Syria Laperche
- Etablissement Français du Sang, La Plaine Saint Denis, Tours, France
| | - Pierre Gallian
- Etablissement Français du Sang, La Plaine Saint Denis, Tours, France
| | - Salam Sawadogo
- National Blood Transfusion Center of Burkina Faso, Ouagadougou, Burkina Faso
| | | | - Ahmad Gharehbaghian
- Laboratory Hematology & Blood Bank Department, School of Allied Medical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | | | - Sandra V Gallego
- Fundación Banco Central de Sangre, Córdoba, Argentina
- Virology Institute, School of Medicine, National University of Cordoba, Córdoba, Argentina
| | - Axel Seltsam
- Bavarian Red Cross Blood Donation Service, Wiesentheid, Germany
| | | | - Arwa Z Al-Riyami
- Sultan Qaboos University Hospital, Sultan Qaboos University, Muscat, Oman
| | - Khuloud Al Maamari
- Sultan Qaboos University Hospital, Sultan Qaboos University, Muscat, Oman
| | - Fatma Ba Alawi
- Sultan Qaboos University Hospital, Sultan Qaboos University, Muscat, Oman
| | - Hem Chandra Pandey
- Department of Transfusion Medicine, All India Institute of Medical Sciences, New Delhi, India
| | - Dora Mbanya
- National Blood Transfusion Service, Yaoundé, Cameroon
| | | | | |
Collapse
|
5
|
Lewin A, Goldman M, Busch MP, Davison K, van de Laar T, Tiberghien P, Shinar E, O'Brien SF, Lambert G, Field S, Hervig T, Tan DHS, Custer B, Drews SJ, Lanteri MC, Klochkov D, Widmer E, Domingue MP, Renaud C, Germain M. End of selection criteria based on sexual orientation: An international symposium on alternatives to donation deferral. Vox Sang 2024; 119:388-401. [PMID: 38270352 DOI: 10.1111/vox.13587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 09/01/2023] [Revised: 12/07/2023] [Accepted: 12/21/2023] [Indexed: 01/26/2024]
Abstract
BACKGROUND AND OBJECTIVES Until recently, gay, bisexual and other men who have sex with men (MSM) were deferred from donating blood for 3-12 months since the last male-to-male sexual contact. This MSM deferral has been discontinued by several high-income countries (HIC) that now perform gender-neutral donor selection. MATERIALS AND METHODS An international symposium (held on 20-04-2023) gathered experts from seven HICs to (1) discuss how this paradigm shift might affect the mitigation strategies for transfusion-transmitted infections and (2) address the challenges related to gender-neutral donor selection. RESULTS Most countries employed a similar approach for implementing a gender-neutral donor selection policy: key stakeholders were consulted; the transition was bridged by time-limited deferrals; donor compliance was monitored; and questions or remarks on anal sex and the number and/or type of sexual partners were often added. Many countries have now adopted a gender-neutral approach in which questions on pre- and post-exposure prophylaxis for human immunodeficiency virus (HIV) have been added (or retained, when already in place). Other countries used mitigation strategies, such as plasma quarantine or pathogen reduction technologies for plasma and/or platelets. CONCLUSION The experience with gender-neutral donor selection has been largely positive among the countries covered herein and seems to be acceptable to stakeholders, donors and staff. The post-implementation surveillance data collected so far appear reassuring with regards to safety, although longer observation periods are necessary. The putative risks associated with HIV antiretrovirals should be further investigated.
Collapse
Affiliation(s)
- Antoine Lewin
- Medical Affairs and Innovation, Héma-Québec, Montréal and Québec, Quebec, Canada
| | - Mindy Goldman
- Donation Policy and Studies, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Michael P Busch
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California in San Francisco, San Francisco, California, USA
| | - Katy Davison
- NHS Blood and Transplant/UK Health Security Agency (UKHSA) Epidemiology Unit, UKHSA, London, UK
| | - Thijs van de Laar
- Department of Donor Medicine Research, Sanquin Research, Amsterdam, The Netherlands
- Laboratory of Medical Microbiology, Onze Lieve Vrouwe Gasthuis, Amsterdam, The Netherlands
| | - Pierre Tiberghien
- Établissement Français du Sang, La Plaine Saint Denis, France
- UMR 1098, Inserm, Établissement Français du Sang, Université de Franche-Comté, Besançon, France
| | - Eilat Shinar
- National Blood Services, Magen David Adom, Tel Aviv, Israel
| | - Sheila F O'Brien
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Gilles Lambert
- Direction régionale de santé publique - Montréal, Montréal, Québec, Canada
- Institut national de santé publique du Québec, Montréal, Québec, Canada
| | - Stephen Field
- Irish Blood Transfusion Service, Dublin, County Dublin, Ireland
| | - Tor Hervig
- Irish Blood Transfusion Service, Dublin, County Dublin, Ireland
| | - Darrell H S Tan
- Division of Infectious Diseases, Department of Medicine, St Michael's Hospital, Toronto, Ontario, Canada
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California in San Francisco, San Francisco, California, USA
| | - Steven J Drews
- Donation Policy and Studies, Canadian Blood Services, Edmonton, Alberta, Canada
| | - Marion C Lanteri
- Department of Laboratory Medicine, University of California in San Francisco, San Francisco, California, USA
- Scientific Affairs, Creative Testing Solutions, Tempe, Arizona, USA
| | - Denis Klochkov
- Research and Development, CSL Behring, Bern, Switzerland
| | | | - Marie-Pier Domingue
- Medical Affairs and Innovation, Héma-Québec, Montréal and Québec, Quebec, Canada
- Faculté des Sciences, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Christian Renaud
- Medical Affairs and Innovation, Héma-Québec, Montréal and Québec, Quebec, Canada
| | - Marc Germain
- Medical Affairs and Innovation, Héma-Québec, Montréal and Québec, Quebec, Canada
| |
Collapse
|
6
|
Jentsch U, Vermeulen M, van den Berg K, Swanevelder R, Creel D, Jacobs G, Hemingway-Foday JJ, Nyoni C, Murphy EL, Custer B. A case-control study of risk factors for incident hepatitis B virus infection in South African blood donors. Int J Infect Dis 2024; 141:106958. [PMID: 38373648 PMCID: PMC11034725 DOI: 10.1016/j.ijid.2024.02.001] [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: 11/07/2023] [Revised: 01/19/2024] [Accepted: 02/01/2024] [Indexed: 02/21/2024] Open
Abstract
OBJECTIVES Hepatitis B virus (HBV) infection remains a global health problem. Risk factors for HBV infection are usually assessed in prevalent rather than incident infections. To identify demographic and behavioral risks associated with incident HBV among South African blood donors. METHODS A case-control study was performed between November 2014 and January 2018. Cases were blood donors testing positive for HBV DNA with or without hepatitis B surface antigen but negative for antibody to hepatitis B core antigen. Participants completed an audio computer-assisted structured interview on exposures during the previous 6 months. Sex-specific multivariable logistic regression yielded independent associations between risks and HBV infection. RESULTS 56 females and 37 males with incident HBV were compared to 438 female and 439 male controls, respectively. For females, risk factors were accepting money or goods for sex, using agents to prepare one's anus prior to anal sex, penetrating injury, non-Black race, and lower educational status. Men reporting homosexual or bisexual orientation or sex with other men, previous injury, referral for HBV testing, or lack of medical insurance were at increased risk. For both sexes, having more than two male sexual partners increased risk. CONCLUSIONS Sexual behaviors predominated over parenteral exposures as risks for incident HBV in both female and male blood donors.
Collapse
Affiliation(s)
- Ute Jentsch
- The South African National Blood Service, Johannesburg, South Africa.
| | - Marion Vermeulen
- The South African National Blood Service, Johannesburg, South Africa; University of the Free State, Bloemfontein, South Africa
| | - Karin van den Berg
- The South African National Blood Service, Johannesburg, South Africa; University of the Free State, Bloemfontein, South Africa
| | - Ronél Swanevelder
- The South African National Blood Service, Johannesburg, South Africa
| | | | - Genevieve Jacobs
- The South African National Blood Service, Johannesburg, South Africa
| | | | - Cynthia Nyoni
- The South African National Blood Service, Johannesburg, South Africa
| | - Edward L Murphy
- University of California San Francisco, San Francisco, USA; Vitalant Research Institute, San Francisco, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, USA; University of California San Francisco, San Francisco, USA
| |
Collapse
|
7
|
Faddy HM, Osiowy C, Custer B, Busch M, Stramer SL, Dean MM, Acutt J, Viennet E, van de Laar T, Tsoi WC, Styles C, Kiely P, Margaritis A, Kwon SY, Qiu Y, Deng X, Lewin A, Jørgensen SW, Erikstrup C, Juhl D, Sauleda S, Camacho Rodriguez BA, Soto Coral LJC, Gaviria García PA, Oota S, O'Brien SF, Wendel S, Castro E, Navarro Pérez L, Harvala H, Davison K, Reynolds C, Jarvis L, Grabarczyk P, Kopacz A, Łętowska M, O'Flaherty N, Young F, Williams P, Burke L, Chua SS, Muylaert A, Page I, Jones A, Niederhauser C, Vermeulen M, Laperche S, Gallian P, Satake M, Addas-Carvalho M, Blanco S, Gallego SV, Seltsam A, Weber-Schehl M, Al-Riyami AZ, Al Maamari K, Alawi FB, Pandey HC, França RA, Charlewood R. An international review of the characteristics of viral nucleic acid-amplification testing (NAT) reveals a trend towards the use of smaller pool sizes and individual donation NAT. Vox Sang 2024. [PMID: 38516962 DOI: 10.1111/vox.13617] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/19/2024] [Accepted: 03/03/2024] [Indexed: 03/23/2024]
Abstract
BACKGROUND AND OBJECTIVES Nucleic acid-amplification testing (NAT) is used for screening blood donations/donors for blood-borne viruses. We reviewed global viral NAT characteristics and NAT-yield confirmatory testing used by blood operators. MATERIALS AND METHODS NAT characteristics and NAT-yield confirmatory testing used during 2019 was surveyed internationally by the International Society of Blood Transfusion Working Party Transfusion-Transmitted Infectious Diseases. Reported characteristics are presented herein. RESULTS NAT was mainly performed under government mandate. Human immunodeficiency virus (HIV), hepatitis C virus (HCV) and hepatitis B virus (HBV) NAT was performed on all donors and donation types, while selective testing was reported for West Nile virus, hepatitis E virus (HEV), and Zika virus. Individual donation NAT was used for HIV, HCV and HBV by ~50% of responders, while HEV was screened in mini-pools by 83% of responders performing HEV NAT. Confirmatory testing for NAT-yield samples was generally performed by NAT on a sample from the same donation or by NAT and serology on samples from the same donation and a follow-up sample. CONCLUSION In the last decade, there has been a trend towards use of smaller pool sizes or individual donation NAT. We captured characteristics of NAT internationally in 2019 and provide insights into confirmatory testing approaches used for NAT-yields, potentially benefitting blood operators seeking to implement NAT.
Collapse
Affiliation(s)
- Helen M Faddy
- School of Health, University of the Sunshine Coast, Petrie, Queensland, Australia
- Research and Development, Australian Red Cross Lifeblood, Brisbane, Queensland, Australia
| | - Carla Osiowy
- National Microbiology Laboratory, Public Health Agency of Canada, Manitoba, Canada
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, California, USA
| | - Michael Busch
- Vitalant Research Institute, San Francisco, California, USA
| | | | - Melinda M Dean
- School of Health, University of the Sunshine Coast, Petrie, Queensland, Australia
- Research and Development, Australian Red Cross Lifeblood, Brisbane, Queensland, Australia
| | - Jessika Acutt
- School of Health, University of the Sunshine Coast, Petrie, Queensland, Australia
| | - Elvina Viennet
- Research and Development, Australian Red Cross Lifeblood, Brisbane, Queensland, Australia
| | - Thijs van de Laar
- Department of Donor Medicine Research, Sanquin Research, Amsterdam, The Netherlands
| | - Wai-Chiu Tsoi
- Hong Kong Red Cross Blood Transfusion Service, Hong Kong
| | - Claire Styles
- Pathology & Clinical Governance, Australian Red Cross Lifeblood, Melbourne, Australia
| | - Phil Kiely
- Pathology & Clinical Governance, Australian Red Cross Lifeblood, Melbourne, Australia
| | - Angelo Margaritis
- Manufacturing & Logistics, Australian Red Cross Lifeblood, Melbourne, Australia
| | - So-Yong Kwon
- Korean Red Cross Blood Services, Republic of Korea
| | - Yan Qiu
- Beijing Red Cross Blood Centre, Beijing, China
| | | | | | | | | | - David Juhl
- University Hospital of Schleswig-Holstein, Institute of Transfusion Medicine, Germany
| | | | | | | | | | | | | | | | - Emma Castro
- Centro de Transfusión de la Comunidad Valenciana, Spain
| | | | - Heli Harvala
- Microbiology Services, NHS Blood and Transplant, UK
| | | | | | - Lisa Jarvis
- Scottish National Blood Transfusion Service, UK
| | - Piotr Grabarczyk
- Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | - Aneta Kopacz
- Institute of Hematology and Transfusion Medicine, Warsaw, Poland
| | | | | | - Fiona Young
- Irish Blood Transfusion Service, Dublin, Ireland
| | | | - Lisa Burke
- Irish Blood Transfusion Service, Dublin, Ireland
| | | | | | - Isabel Page
- Centro de Hemoterapia y Hemodonacion de Castilla y Leon, Spain
| | | | - Christoph Niederhauser
- Interregional Blood Transfusion SRC, Switzerland
- Institute for Infectious Diseases, University of Berne, Berne, Switzerland
| | | | - Syria Laperche
- Etablissement Français du Sang, La Plaine Saint Denis, France
| | - Pierre Gallian
- Etablissement Français du Sang, La Plaine Saint Denis, France
| | | | | | | | - Sandra V Gallego
- Fundación Banco Central de Sangre, Argentina
- Virology Institute, School of Medicine, National University of Cordoba, Argentina
| | - Axel Seltsam
- Bavarian Red Cross Blood Donation Service, Wiesentheid, Germany
| | | | - Arwa Z Al-Riyami
- Sultan Qaboos University Hospital, Sultan Qaboos University, Oman
| | | | - Fatma Ba Alawi
- Sultan Qaboos University Hospital, Sultan Qaboos University, Oman
| | - Hem Chandra Pandey
- Department of Transfusion Medicine, All India Institute of Medical Sciences, New Delhi, India
| | | | | |
Collapse
|
8
|
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.
Collapse
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
| | | | | |
Collapse
|
9
|
Roubinian NH, Greene J, Liu VX, Lee C, Mark DG, Vinson DR, Spencer BR, Bruhn R, Bravo M, Stone M, Custer B, Kleinman S, Busch MP, Norris PJ. Clinical outcomes in hospitalized plasma and platelet transfusion recipients prior to and following widespread blood donor SARS-CoV-2 infection and vaccination. Transfusion 2024; 64:53-67. [PMID: 38054619 PMCID: PMC10842807 DOI: 10.1111/trf.17616] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [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: 09/23/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 12/07/2023]
Abstract
BACKGROUND The safety of transfusion of SARS-CoV-2 antibodies in high plasma volume blood components to recipients without COVID-19 is not established. We assessed whether transfusion of plasma or platelet products during periods of increasing prevalence of blood donor SARS-CoV-2 infection and vaccination was associated with changes in outcomes in hospitalized patients without COVID-19. METHODS We conducted a retrospective cohort study of hospitalized adults who received plasma or platelet transfusions at 21 hospitals during pre-COVID-19 (3/1/2018-2/29/2020), COVID-19 pre-vaccine (3/1/2020-2/28/2021), and COVID-19 post-vaccine (3/1/2021-8/31/2022) study periods. We used multivariable logistic regression with generalized estimating equations to adjust for demographics and comorbidities to calculate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS Among 21,750 hospitalizations of 18,584 transfusion recipients without COVID-19, there were 697 post-transfusion thrombotic events, and oxygen requirements were increased in 1751 hospitalizations. Intensive care unit length of stay (n = 11,683) was 3 days (interquartile range 1-5), hospital mortality occurred in 3223 (14.8%), and 30-day rehospitalization in 4144 (23.7%). Comparing the pre-COVID, pre-vaccine and post-vaccine study periods, there were no trends in thromboses (OR 0.9 [95% CI 0.8, 1.1]; p = .22) or oxygen requirements (OR 1.0 [95% CI 0.9, 1.1]; p = .41). In parallel, there were no trends across study periods for ICU length of stay (p = .83), adjusted hospital mortality (OR 1.0 [95% CI 0.9-1.0]; p = .36), or 30-day rehospitalization (p = .29). DISCUSSION Transfusion of plasma and platelet blood components collected during the pre-vaccine and post-vaccine periods of the COVID-19 pandemic was not associated with increased adverse outcomes in transfusion recipients without COVID-19.
Collapse
Affiliation(s)
- Nareg H Roubinian
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - John Greene
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Vincent X Liu
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Catherine Lee
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Dustin G Mark
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - David R Vinson
- Kaiser Permanente Northern California Division of Research, Oakland, California, USA
| | - Bryan R Spencer
- American Red Cross, Scientific Affairs, Dedham, Massachusetts, USA
| | - Roberta Bruhn
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | | | - Mars Stone
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Steve Kleinman
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Michael P Busch
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Philip J Norris
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| |
Collapse
|
10
|
Roubinian NH, Custer B. Selected Topics From the State of the Science in Transfusion Medicine: Key Insights on Current Progress and Future Directions. Transfus Med Rev 2023; 37:150781. [PMID: 37993383 DOI: 10.1016/j.tmrv.2023.150781] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 11/24/2023]
Affiliation(s)
- Nareg H Roubinian
- Vitalant Research Institute, San Francisco, CA, USA; University of California, San Francisco, CA, USA; Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA; University of California, San Francisco, CA, USA
| |
Collapse
|
11
|
Custer B, Whitaker BI, Pollack LM, Buccheri R, Bruhn RL, Crowder LA, Stramer SL, Reik RA, Pandey S, Stone M, Di Germanio C, Buchacz K, Eder AF, Lu Y, Forshee RA, Anderson SA, Marks PW. HIV risk behavior profiles among men who have sex with men interested in donating blood: Findings from the Assessing Donor Variability and New Concepts in Eligibility study. Transfusion 2023; 63:1872-1884. [PMID: 37642154 DOI: 10.1111/trf.17515] [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: 06/23/2023] [Revised: 07/27/2023] [Accepted: 07/27/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Individual risk assessment allows donors to be evaluated based on their own behaviors. Study objectives were to assess human immunodeficiency virus (HIV) risk behaviors in men who have sex with men (MSM) and estimate the proportion of the study population who would not be deferred for higher risk HIV sexual behaviors. STUDY DESIGN AND METHODS Cross-sectional survey and biomarker assessment were conducted in eight U.S. cities. Participants were sexually active MSM interested in blood donation aged 18-39 years, assigned male sex at birth. Participants completed surveys during two study visits to define eligibility, and self-reported sexual and HIV prevention behaviors. Blood was drawn at study visit 1 and tested for HIV and the presence of tenofovir, one of the drugs in oral HIV pre-exposure prophylaxis (PrEP). Associations were assessed between HIV infection status or HIV PrEP use and behaviors, including sex partners, new partners, and anal sex. RESULTS A total of 1566 MSM completed the visit 1 questionnaire and blood draw and 1197 completed the visit 2 questionnaire. Among 1562 persons without HIV, 789 (50.4%) were not taking PrEP. Of those not taking PrEP, 66.2% reported one sexual partner or no anal sex and 69% reported no new sexual partners or no anal sex with a new partner in the past 3 months. CONCLUSION The study found that questions were able to identify sexually active, HIV-negative MSM who report lower risk sexual behaviors. About a quarter of enrolled study participants would be potentially eligible blood donors using individual risk assessment questions.
Collapse
Affiliation(s)
- Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Barbee I Whitaker
- U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, Maryland, USA
| | - Lance M Pollack
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Renata Buccheri
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Roberta L Bruhn
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Lauren A Crowder
- American Red Cross, Scientific Affairs, Rockville, Maryland, USA
| | - Susan L Stramer
- American Red Cross, Scientific Affairs, Gaithersburg, Maryland, USA
| | | | - Suchitra Pandey
- Stanford Blood Center & Stanford University, Palo Alto, California, USA
| | - Mars Stone
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Clara Di Germanio
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Kate Buchacz
- U.S. Centers for Disease Control and Prevention, HIV Research Branch, Division of HIV Prevention, Atlanta, Georgia, USA
| | - Anne F Eder
- U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, Maryland, USA
| | - Yun Lu
- U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, Maryland, USA
| | - Richard A Forshee
- U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, Maryland, USA
| | - Steven A Anderson
- U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, Maryland, USA
| | - Peter W Marks
- U.S. Food and Drug Administration, Center for Biologics Evaluation and Research, Silver Spring, Maryland, USA
| |
Collapse
|
12
|
Leblanc JF, Custer B, Van de Laar T, Drews SJ, Germain M, Lewin A. HIV Pre-Exposure Prophylaxis, Blood Donor Deferral, Occult Infection, and Risk of HIV Transmission by Transfusion: A Fine Balance Between Evidence-Based Donor Selection Criteria and Transfusion Safety. Transfus Med Rev 2023; 37:150754. [PMID: 37741792 DOI: 10.1016/j.tmrv.2023.150754] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/14/2023] [Accepted: 08/16/2023] [Indexed: 09/25/2023]
Abstract
Pre- and postexposure prophylaxis for human immunodeficiency virus (HIV) are key to reducing the transmission of this virus. Furthermore, low-toxicity, long-acting formulations provide additional clinical benefits, in particular easier adherence to treatment and prevention. However, breakthrough HIV infections can occur despite the use of pre-exposure prophylaxis (PrEP), mainly due to suboptimal adherence or multi-drug resistant HIV strains. Albeit rare, PrEP breakthrough infections have also been reported in fully adherent patients. Should such breakthrough infection occur in an eligible blood donor, PrEP might suppress viremia and delay antibody seroconversion, thereby masking the infection and increasing the risk of transfusion transmission. This possibility has raised concerns in the blood transfusion community but remains little documented. Therefore, a literature search was performed to assess the state of knowledge on the risk of PrEP breakthrough infection, with a particular focus on the risk of HIV entering the blood supply. Evidently, PrEP breakthrough infections are rare, although the risk is not zero. Moreover, a fraction of individuals - including blood donors - do not disclose PrEP use according to various surveys and measurements of HIV PrEP analytes. Additionally, viremia and seroconversion may remain undetectable or close to the limit of detection for a long time after cessation of PrEP, particularly with long-acting antiretrovirals. Therefore, current recommendations to defer donors for at least 3 months after the last dose of oral PrEP or 2 years for long-acting PrEP appear justified, as they safeguard the blood supply and public trust toward the system. These recommendations help to safeguard blood safety and public trust in the blood supply.
Collapse
Affiliation(s)
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA; Department of Laboratory Medicine, University of California, San Francisco, CA, USA
| | - Thijs Van de Laar
- Sanquin Research, Department of Donor Medicine Research, Amsterdam, The Netherlands; Onze Lieve Vrouwe Gasthuis, Laboratory of Medical Microbiology, Amsterdam, The Netherlands
| | - Steven J Drews
- Microbiology, Donation Policy and Studies, Canadian Blood Services, Edmonton, Alberta, Canada; Department of Laboratory Medicine & Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Marc Germain
- Hema-Québec, Medical Affairs and Innovation, Montréal and Québec, Québec, Canada
| | - Antoine Lewin
- Hema-Québec, Medical Affairs and Innovation, Montréal and Québec, Québec, Canada; Université de Sherbrooke, Faculty of Medicine and Health Sciences, Sherbrooke, Québec, Canada.
| |
Collapse
|
13
|
Custer B, Bloch EM, Bryant BJ, D'Alessandro A, Delaney M, Goel R, Hod EA, Josephson CD, Katz LM, Miller YM, Sayers MH, Seheult JN, Triulzi DJ, Berger J, Zou S, Hailu B, Glynn SA, Roubinian NH. Proceedings of the 2022 NHLBI and OASH state of the science in transfusion medicine symposium. Transfusion 2023; 63:1074-1091. [PMID: 37005871 DOI: 10.1111/trf.17296] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Accepted: 02/18/2023] [Indexed: 04/04/2023]
Abstract
BACKGROUND State of the Science (SoS) meetings are used to define and highlight important unanswered scientific questions. The National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health, and the Office of the Assistant Secretary for Health (OASH), Department of Health and Human Services held a virtual SoS in transfusion medicine (TM) symposium. STUDY DESIGN AND METHODS In advance of the symposium, six multidisciplinary working groups (WG) convened to define research priorities in the areas of: blood donors and the supply, optimizing transfusion outcomes for recipients, emerging infections, mechanistic aspects of components and transfusion, new computational methods in transfusion science, and impact of health disparities on donors and recipients. The overall objective was to identify key basic, translational, and clinical research questions that will help to increase and diversify the volunteer donor pool, ensure safe and effective transfusion strategies for recipients, and identify which blood products from which donors best meet the clinical needs of specific recipient populations. RESULTS On August 29-30, 2022, over 400 researchers, clinicians, industry experts, government officials, community members, and patient advocates discussed the research priorities presented by each WG. Dialogue focused on the five highest priority research areas identified by each WG and included the rationale, proposed methodological approaches, feasibility, and barriers for success. DISCUSSION This report summarizes the key ideas and research priorities identified during the NHLBI/OASH SoS in TM symposium. The report highlights major gaps in our current knowledge and provides a road map for TM research.
Collapse
Affiliation(s)
- Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- University of California, San Francisco, San Francisco, California, USA
| | - Evan M Bloch
- Johns Hopkins University, Baltimore, Maryland, USA
| | - Barbara J Bryant
- Versiti, Milwaukee, Wisconsin, USA
- Clinical Center, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Meghan Delaney
- Children's National Hospital, Washington, District of Columbia, USA
| | - Ruchika Goel
- School of Medicine, Southern Illinois University, Carbondale, Illinois, USA
| | - Eldad A Hod
- Columbia University Irving Medical Center, New York City, New York, USA
| | - Cassandra D Josephson
- Johns Hopkins University, Baltimore, Maryland, USA
- Johns Hopkins All Children's Hospital, St. Petersburg, Florida, USA
| | | | | | - Merlyn H Sayers
- Carter Blood Care, Bedford, Texas, USA
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | | | - Darrell J Triulzi
- University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA
| | - James Berger
- Department of Health and Human Services, Office of the Assistant Secretary of Health, Washington, District of Columbia, USA
| | - Shimian Zou
- National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Benyam Hailu
- National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Simone A Glynn
- National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Nareg H Roubinian
- Vitalant Research Institute, San Francisco, California, USA
- University of California, San Francisco, San Francisco, California, USA
- Kaiser Permanente Division of Research, Oakland, California, USA
| |
Collapse
|
14
|
Earley EJ, Kelly S, Fang F, Alencar CS, Rodrigues DDOW, Soares Cruz DT, Flanagan JM, Ware RE, Zhang X, Gordeuk V, Gladwin M, Zhang Y, Nouraie M, Nekhai S, Sabino E, Custer B, Dinardo C, Page GP. Genome-wide association study of early ischaemic stroke risk in Brazilian individuals with sickle cell disease implicates ADAMTS2 and CDK18 and uncovers novel loci. Br J Haematol 2023; 201:343-352. [PMID: 36602125 PMCID: PMC10155195 DOI: 10.1111/bjh.18637] [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: 09/12/2022] [Accepted: 12/21/2022] [Indexed: 01/06/2023]
Abstract
Ischaemic stroke is a common complication of sickle cell disease (SCD) and without intervention can affect 11% of children with SCD before the age of 20. Within the Trans-Omics for Precision Medicine (TOPMed), a genome-wide association study (GWAS) of ischaemic stroke was performed on 1333 individuals with SCD from Brazil (178 cases, 1155 controls). Via a novel Cox proportional-hazards analysis, we searched for variants associated with ischaemic stroke occurring at younger ages. Variants at genome-wide significance (p < 5 × 10-8 ) include two near genes previously linked to non-SCD early-onset stroke (<65 years): ADAMTS2 (rs147625068, p = 3.70 × 10-9 ) and CDK18 (rs12144136, p = 2.38 × 10-9 ). Meta-analysis, which included the independent SCD cohorts Walk-PHaSST and PUSH, exhibited consistent association for variants rs1209987 near gene TBC1D32 (p = 3.36 × 10-10 ), rs188599171 near CUX1 (p = 5.89 × 10-11 ), rs77900855 near BTG1 (p = 4.66 × 10-8 ), and rs141674494 near VPS13C (1.68 × 10-9 ). Findings from this study support a multivariant model of early ischaemic stroke risk and possibly a shared genetic architecture between SCD individuals and non-SCD individuals younger than 65 years.
Collapse
Affiliation(s)
- Eric Jay Earley
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, Durham, NC, USA
| | - Shannon Kelly
- Benioff Children’s Hospital, University of San Francisco, California, USA
- Vitalant Research Institute, San Francisco, California, USA
| | - Fang Fang
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, Durham, NC, USA
| | | | | | - Dahra Teles Soares Cruz
- Department of Hematology, Fundação de Hematologia e Hemoterapia de Pernambuco, HEMOPE, Pernambuco, Brazil
| | - Jonathan M. Flanagan
- Division of Hematology and Oncology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Russell E. Ware
- Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio, USA
| | - Xu Zhang
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Victor Gordeuk
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Mark Gladwin
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yingze Zhang
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Mehdi Nouraie
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sergei Nekhai
- Center for Sickle Cell Disease, Department of Medicine, Howard University, Washington DC, USA
| | - Ester Sabino
- Instituto de Medicina Tropical, University of São Paulo, Brazil
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, University of California, San Francisco, USA
| | - Carla Dinardo
- Instituto de Medicina Tropical, University of São Paulo, Brazil
| | - Grier P. Page
- GenOmics, Bioinformatics, and Translational Research Center, RTI International, Research Triangle Park, Durham, NC, USA
| |
Collapse
|
15
|
Cato LD, Li R, Lu HY, Yu F, Wissman M, Mkumbe BS, Ekwattanakit S, Deelen P, Mwita L, Sangeda R, Suksangpleng T, Riolueang S, Bronson PG, Paul DS, Kawabata E, Astle WJ, Aguet F, Ardlie K, de Lapuente Portilla AL, Kang G, Zhang Y, Nouraie SM, Gordeuk VR, Gladwin MT, Garrett ME, Ashley-Koch A, Telen MJ, Custer B, Kelly S, Dinardo CL, Sabino EC, Loureiro P, Carneiro-Proietti AB, Maximo C, Méndez A, Hammerer-Lercher A, Sheehan VA, Weiss MJ, Franke L, Nilsson B, Butterworth AS, Viprakasit V, Nkya S, Sankaran VG. Genetic regulation of fetal hemoglobin across global populations. medRxiv 2023:2023.03.24.23287659. [PMID: 36993312 PMCID: PMC10055601 DOI: 10.1101/2023.03.24.23287659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 05/01/2023]
Abstract
Human genetic variation has enabled the identification of several key regulators of fetal-to-adult hemoglobin switching, including BCL11A, resulting in therapeutic advances. However, despite the progress made, limited further insights have been obtained to provide a fuller accounting of how genetic variation contributes to the global mechanisms of fetal hemoglobin (HbF) gene regulation. Here, we have conducted a multi-ancestry genome-wide association study of 28,279 individuals from several cohorts spanning 5 continents to define the architecture of human genetic variation impacting HbF. We have identified a total of 178 conditionally independent genome-wide significant or suggestive variants across 14 genomic windows. Importantly, these new data enable us to better define the mechanisms by which HbF switching occurs in vivo. We conduct targeted perturbations to define BACH2 as a new genetically-nominated regulator of hemoglobin switching. We define putative causal variants and underlying mechanisms at the well-studied BCL11A and HBS1L-MYB loci, illuminating the complex variant-driven regulation present at these loci. We additionally show how rare large-effect deletions in the HBB locus can interact with polygenic variation to influence HbF levels. Our study paves the way for the next generation of therapies to more effectively induce HbF in sickle cell disease and β-thalassemia.
Collapse
Affiliation(s)
- Liam D. Cato
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Rick Li
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Henry Y. Lu
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Fulong Yu
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Mariel Wissman
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Baraka S. Mkumbe
- Sickle Cell Program, Department of Hematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Department of Biochemistry, Muhimbili University of Health and Allied Science, Dar es Salaam, Tanzania
- Department of Artificial Intelligence and Innovative Medicine, Graduate School of Medicine, Tohoku University, Sendai, Japan
| | - Supachai Ekwattanakit
- Siriraj Thalassemia Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Patrick Deelen
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
- Oncode Institute, Amsterdam, the Netherlands
| | - Liberata Mwita
- Department of Pharmaceutical Microbiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Raphael Sangeda
- Sickle Cell Program, Department of Hematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Department of Pharmaceutical Microbiology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Thidarat Suksangpleng
- Siriraj Thalassemia Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Suchada Riolueang
- Siriraj Thalassemia Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Paola G. Bronson
- R&D Translational Biology, Biogen, Cambridge, Massachusetts, USA
| | - Dirk S. Paul
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
| | - Emily Kawabata
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - William J. Astle
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
- NHS Blood and Transplant, Cambridge, UK
| | - Francois Aguet
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Kristin Ardlie
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | | | - Guolian Kang
- St. Jude Children's Research Hospital, Memphis, Tennessee, USA
| | - Yingze Zhang
- Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Seyed Mehdi Nouraie
- Department of Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Victor R. Gordeuk
- Division of Hematology and Oncology, Department of Medicine, Comprehensive Sickle Cell Center, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Mark T. Gladwin
- Department of Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA
| | - Melanie E. Garrett
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Marilyn J. Telen
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
- Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, California, USA
- Division of Pediatric Hematology, UCSF Benioff Children's Hospital, Oakland, California, USA
| | - Carla Luana Dinardo
- Fundacao Pro-Sangue Hemocentro de Sao Paulo, Sao Paulo, Brazil
- Institute of Tropical Medicine, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | - Ester C. Sabino
- Institute of Tropical Medicine, Faculdade de Medicina da Universidade de Sao Paulo, Sao Paulo, Brazil
| | | | | | | | | | | | - Adriana Méndez
- Institute of Laboratory Medicine, Cantonal Hospital Aarau, 5000 Aarau, Switzerland
| | | | - Vivien A. Sheehan
- Aflac Cancer & Blood Disorders Center, Children's Healthcare of Atlanta & Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | | | - Lude Franke
- Oncode Institute, Amsterdam, the Netherlands
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Björn Nilsson
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Lund Stem Cell Center, Lund University, 221 84 Lund, Sweden
- Department of Laboratory Medicine, Lund University, 221 84 Lund, Sweden
| | - Adam S. Butterworth
- British Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
- British Heart Foundation Centre of Research Excellence, University of Cambridge, Cambridge, UK
- National Institute for Health and Care Research Blood and Transplant Research Unit in Donor Health and Behaviour, University of Cambridge, Cambridge, UK
- Health Data Research UK Cambridge, Wellcome Genome Campus and University of Cambridge, Cambridge, UK
- Heart and Lung Research Institute, University of Cambridge, Cambridge, UK
| | - Vip Viprakasit
- Siriraj Thalassemia Center, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
- Department of Pediatrics, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
| | - Siana Nkya
- Sickle Cell Program, Department of Hematology and Blood Transfusion, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Department of Biochemistry, Muhimbili University of Health and Allied Science, Dar es Salaam, Tanzania
- Tanzania Human Genetics Organisation, Tanzania
| | - Vijay G. Sankaran
- Division of Hematology/Oncology, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Harvard Stem Cell Institute, Cambridge, Massachusetts, USA
- Department of Biochemistry, Muhimbili University of Health and Allied Science
| |
Collapse
|
16
|
Belisário AR, Simões E Silva AC, Moura ICG, Carneiro-Proietti AB, Sabino EC, Loureiro P, Máximo C, Flor-Park MV, Rodrigues DDOW, Ozahata MC, Mota RA, Dinardo CL, Kelly S, Custer B. Estimated glomerular filtration rate in Brazilian adults with sickle cell disease: results from the REDS-III multicenter cohort study. Ann Hematol 2023; 102:1019-1027. [PMID: 36884065 DOI: 10.1007/s00277-023-05150-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [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: 07/07/2022] [Accepted: 02/25/2023] [Indexed: 03/09/2023]
Abstract
Chronic kidney disease (CKD) has a significant impact on sickle cell disease (SCD) morbidity and mortality. Early identification of individuals at highest risk of developing CKD may allow therapeutic intervention to prevent worse outcomes. This study aimed to evaluate the prevalence and risk factors for reduced estimated glomerular filtration rate (eGFR) among adults with SCD in Brazil. Participants in the REDS-III multicenter SCD cohort with more severe genotypes aged ≥ 18 years with at least two serum creatinine values were analyzed. The eGFR was calculated using the Jamaica Sickle Cell Cohort Study GFR equation. The eGFR categories were defined according to the K/DOQI. Participants with eGFR ≥ 90 were compared to those with those with eGFR < 90. Among the 870 participants, 647 (74.4%) had eGFR ≥ 90, 211 (24.3%) had eGFR 60 to 89, six (0.7%) had eGFR 30 to 59, and six (0.7%) had ESRD. Male sex (OR: 37.3; 95%CI: 22.4-65.1), higher age (OR: 1.04; 95%CI: 1.02-1.06), higher diastolic blood pressure (OR: 1.03; 95%CI: 1.009-1.06), lower Hb (OR: 0.80; 95%CI: 0.68-0.93), and lower reticulocytes (OR: 0.94; 95%CI: 0.89-0.99) levels were independently associated with eGFR < 90. There was a trend towards higher odds of death in participants with eGFR < 90 (OR: 1.8; 95%CI: 0.95-3.32; p = 0.065). In turn, participants with eGFR < 60 had a 12.2 (95%CI: 2.1-96.9) times higher odds for death when compared to those with eGFR ≥ 60. In this study, eGFR < 90 was observed in one-quarter of adults. Older age, male sex, higher diastolic blood pressure, lower hemoglobin, and lower reticulocyte levels were associated with occurrence of eGFR < 90. Estimated GFR < 60 increased the risk of mortality.
Collapse
Affiliation(s)
- André Rolim Belisário
- Centro de Tecidos Biológicos de Minas Gerais, Fundação Hemominas, Rua das Goiabeiras, 779, Lagoa Santa, MG, 33400-000, Brazil. .,Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil.
| | - Ana Cristina Simões E Silva
- Laboratório Interdisciplinar de Investigação Médica, Faculdade de Medicina, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil
| | | | - Anna Bárbara Carneiro-Proietti
- Centro de Tecidos Biológicos de Minas Gerais, Fundação Hemominas, Rua das Goiabeiras, 779, Lagoa Santa, MG, 33400-000, Brazil
| | - Ester Cerdeira Sabino
- Faculdade de Medicina (FMUSP) and Instituto de Medicina Tropical, Universidade de São Paulo, São Paulo, Brazil
| | - Paula Loureiro
- Fundação Hemope, Recife, PE, Brazil.,Universidade de Pernambuco, Recife, PE, Brazil
| | | | - Miriam V Flor-Park
- ITACI, Unidade de Onco-Hematologia, Instituto da Criança, HCFMUSP, São Paulo, Brazil
| | | | - Mina Cintho Ozahata
- Department of Computer Science - DCC, University of São Paulo, São Paulo, Brazil
| | - Rosimere Afonso Mota
- Centro de Tecidos Biológicos de Minas Gerais, Fundação Hemominas, Rua das Goiabeiras, 779, Lagoa Santa, MG, 33400-000, Brazil
| | | | | | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA.,Department of Laboratory Medicine, UCSF, San Francisco, CA, USA
| | | |
Collapse
|
17
|
Custer B, Grebe E, Buccheri R, Bakkour S, Stone M, Capuani L, Alencar C, Amorim L, Loureiro P, Carneiro-Proietti AB, Mendrone-Junior A, Gonçalez T, Gao K, Livezey KW, Linnen JM, Brambilla D, McClure C, Busch MP, Sabino EC. Surveillance for Zika, Chikungunya, and Dengue Virus Incidence and RNAemia in Blood Donors at 4 Brazilian Blood Centers During 2016-2019. J Infect Dis 2023; 227:696-707. [PMID: 35687888 PMCID: PMC10152499 DOI: 10.1093/infdis/jiac173] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [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: 01/27/2022] [Revised: 04/12/2022] [Accepted: 05/03/2022] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Except for public health case reports, the incidence of Zika virus (ZIKV), chikungunya virus (CHIKV), and dengue virus (DENV) infection are not available to assess the potential blood transfusion safety threat in Brazil. METHODS Pools of 6 donation samples (MP6) left over from human immunodeficiency virus, hepatitis B virus, and hepatitis C virus nucleic acid testing were combined to create MP18 pools (3 MP6 pools). Samples were tested using the Grifols triplex ZIKV, CHIKV, and DENV real-time transcription mediated amplification assay to estimate prevalence of RNAemia and incidence, and to compare these results to case reports in São Paulo, Belo Horizonte, Recife, and Rio de Janeiro, from April 2016 through June 2019. RESULTS ZIKV, CHIKV, and DENV RNAemia were found from donors who donated without overt symptoms of infection that would have led to deferral. The highest RNAemic donation prevalence was 1.2% (95% CI, .8%-1.9%) for DENV in Belo Horizonte in May 2019. Arbovirus infections varied by location and time of year, and were not always aligned with annual arbovirus outbreak seasons in different regions of the country. CONCLUSIONS Testing donations for arboviruses in Brazil can contribute to public health. Transfusion recipients were likely exposed to ZIKV, CHIKV, and DENV viremic blood components during the study period.
Collapse
Affiliation(s)
- Brian Custer
- 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.,Department of Laboratory Medicine, University of California, San Francisco, San Francisco, California, USA.,Department of Science and Innovation, National Research Foundation Centre of Excellence in Epidemiological Modelling and Analysis, Stellenbosch University, Stellenbosch, South Africa
| | | | - Sonia Bakkour
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Mars Stone
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, San Francisco, California, USA
| | - Ligia Capuani
- Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Cecilia Alencar
- Hospital das Clinicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | - Paula Loureiro
- Fundação Hemope, Recife, Brazil.,Faculdade de Medicina da Universidade de Pernambuco, Recife, Brazil
| | | | | | | | - Kui Gao
- Grifols Diagnostics Solutions, San Diego, California, USA
| | | | | | - Don Brambilla
- Research Triangle Institute International, Rockville, Maryland, USA
| | - Chris McClure
- Research Triangle Institute International, 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
| | - Ester C Sabino
- Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | |
Collapse
|
18
|
Kaidarova Z, Di Germanio C, Custer B, Norris PJ. Risk of HLA antibody generation after receipt of Mirasol versus standard platelets in the MIPLATE randomized trial. Transfusion 2023; 63:791-797. [PMID: 36840440 DOI: 10.1111/trf.17286] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 01/06/2023] [Accepted: 01/30/2023] [Indexed: 02/26/2023]
Abstract
BACKGROUND Human leukocyte antigen (HLA) alloimmunization can occur after platelet transfusion. These antibodies can complicate future platelet transfusions or organ transplantation. Animal data suggest that Mirasol pathogen reduction treatment (PRT) can prevent alloimmunization after transfusion. STUDY DESIGN AND METHODS The MIPLATE trial enrolled 330 of a planned 660 participants with hematological malignancies at risk for grade 2 or greater bleeding. The study was halted early for futility after a planned interim analysis. Participants were randomized to receive PRT versus standard control platelets. Serum samples were collected from participants at baseline (pretransfusion), weekly for the first 4 weeks, then at days 42 and 56. HLA antibody levels were determined using a commercial multianalyte bead-based assay. HLA antibody levels were analyzed using low, medium, and high cutoffs based on prior studies. RESULTS The rate of alloimmunization was low in both arms of the study, particularly at the high HLA antibody cutoff (total of 6 of 277 subjects at risk, or 2.2%). The risk of alloimmunization did not differ between study arms, nor did the risk of immune refractoriness to platelet transfusion. CONCLUSIONS The data do not support the conclusion that Mirasol exerted a protective effect against alloimmunization after platelet transfusion in the MIPLATE trial.
Collapse
Affiliation(s)
| | - Clara Di Germanio
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, California, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, California, USA
| | - Philip J Norris
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, California, USA.,Department of Medicine, University of California, San Francisco, California, USA
| |
Collapse
|
19
|
Reis de Souza V, Kelly S, Cerdeira Sabino E, Mendes de Oliveira F, Silva T, Miranda Teixeira C, Máximo C, Loureiro P, Barbara de Freitas Carneiro-Proietti A, Gomes I, Custer B, de Almeida-Neto C. Factors Associated with Leg Ulcers in Adults with Sickle Cell Disease in Brazil. Adv Skin Wound Care 2023; 36:98-105. [PMID: 36662043 DOI: 10.1097/01.asw.0000911152.41719.e5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
OBJECTIVE To define the prevalence of leg ulcers and identify the clinical and laboratory factors associated with leg ulcers in adult participants. METHODS The authors conducted a cross-sectional study of 1,109 patients who were 18 years or older with SS or Sβ0-thalassemia genotypes from a Brazilian cohort. Investigators assessed the prevalence of factors associated with leg ulcers from 2013 to 2017. RESULTS The prevalence of leg ulcers was 21%. Increasing age (odds ratio [OR], 1.07; range, 1.06-1.09), male sex (OR, 2.03; range, 1.44-2.87), treatment with chronic transfusion therapy (OR, 1.88; range, 1.15-3.03), higher indirect bilirubin levels (OR, 1.48; range, 1.02-2.16), and low hemoglobin levels (OR, 2.17; range, 1.52-3.11) were associated with leg ulcers. Participants who self-reported as Black (OR, 6.75; range, 2.63-21.32), mixed (OR, 3.91; range, 1.55-12.20), and other/unknown (OR, 3.84; range, 1.04-15.24) were more likely to have leg ulcers compared with those who self-reported as White. CONCLUSIONS The prevalence of leg ulcers in this Brazilian cohort was higher than the prevalence reported in developed countries. Known factors such as age and male sex were corroborated. The increased bilirubin level and decreased hemoglobin levels among participants with leg ulcers support the hypothesis that hemolysis is correlated with leg ulcer pathogenesis. Self-reported black skin color was an independent predictor of leg ulcers and warrants further study to understand the etiology and implications of this finding.
Collapse
Affiliation(s)
- Valquíria Reis de Souza
- Valquíria Reis de Souza, MSc, is Biologist, Instituto de Medicina Tropical, University of São Paulo, Brazil. Shannon Kelly, MD, is Associate Professor, Pediatrics, Vitalant Research Institute, San Francisco, California. Also at Instituto de Medicina Tropical, University of São Paulo, Ester Cerdeira Sabino, MD, PhD, is Associate Professor and Franciane Mendes de Oliveira, BSc, is Master's Degree Student. Tassila Silva, PhD, is Assistant Professor, Faculdade de Ciências Médicas de Minas Gerais, Belo Horizonte. Carolina Miranda Teixeira, MSc, is Biologist and Master, Faculdade de Medicina, Universidade Federal de Minas Gerais. Claudia Máximo, MD, is Hematologist at Hemorio, Hemocentro do Rio de Janeiro. Paula Loureiro, MD, PhD, is Adjunct Professor and Researcher at Hemope and Universidade de Pernambuco, Recife. Also at Fundação Hemominas, Hemocentro de Minas Gerais, Anna Barbara de Freitas Carneiro-Proietti, MD, PhD, is Senior Researcher. Isabel Gomes, PhD, is Researcher at Universidade Federal de Minas Gerais. Brian Custer, PhD, MPH, is Director, Vitalant Research Institute, San Francisco, California and Professor of Laboratory Medicine, University of California, San Francisco. Cesar de Almeida-Neto, MD, PhD, is Associate Professor at Faculdade de Medicina da Universidade de São Paulo and Chief of Apheresis Department at Fundação Pró-Sangue Hemocentro de São Paulo. Acknowledgment: This work was supported by the National Institutes of Health National Heart, Lung, and Blood Institute by grant HHSN268201100007I. Recipient Epidemiology and Donor Evaluation Study-III: International Component (Brazil), with the participation of the following centers and investigators. Brazilian participants: Instituto de Medicina Tropical de São Paulo (USP): Ester C. Sabino, Cecilia Alencar; Fundação Pró-Sangue (São Paulo): Alfredo Mendrone, Jr, Cesar de Almeida Neto, Ligia Capuani; Instituto de Tratamento do Câncer Infantil (São Paulo): Miriam Park; Faculdade de Medicina da Universidade de São Paulo (São Paulo): Paula Blatyta; Hemominas-Belo Horizonte (Minas Gerais): Anna Bárbara de Freitas Carneiro-Proietti, Andre Belisario, Carolina Miranda Teixeira, Tassila Salomon, Franciane Mendes de Oliveira, Valquíria Reis. Hemominas; Montes Claros (Minas Gerais): Rosemere Afonso Mota, José Wilson Sales; Hemominas-Juiz de Fora (Minas Gerais): Daniela de Oliveira Werneck; Fundação Hemope-Recife (Pernambuco): Paula Loureiro, Aderson Araújo, Dahra Teles Hemorio (Rio de Janeiro): Clarisse Lobo, Claudia Máximo, Luiz Amorin; Instituto de Matemática e Estatística da Universidade de São Paulo-USP (São Paulo): João Eduardo Ferreira, Márcio Katsumi Oikawa, Pedro Losco Takecian, Mina Cintho Ozahata, Rodrigo Muller de Carvalho. US Investigators: Vitalant Research Institute and University of California San Francisco: Brian Scott Custer, Michael P. Busch, and Thelma Therezinha Gonçalez; Research Triangle Institute: Donald Brambilla, Liliana R. Preiss, Christopher McClure; UCSF Benioff Children's Hospital Oakland: Shannon Kelly; National Heart, Lung, and Blood Institute-Simone A. Glynn. The authors have disclosed no other financial relationships related to this article. Submitted February 16, 2022; accepted in revised form August 12, 2022
| | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
20
|
Jacobs G, Van den Berg K, Vermeulen M, Swanevelder R, Custer B, Murphy EL. Association of ABO and RhD blood groups with the risk of HIV infection. PLoS One 2023; 18:e0284975. [PMID: 37099490 PMCID: PMC10132593 DOI: 10.1371/journal.pone.0284975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Accepted: 04/12/2023] [Indexed: 04/27/2023] Open
Abstract
Naturally occurring antibodies against ABO antigens present in human sera have been shown to neutralize ABO-expressing HIV in vitro. We investigated associations between ABO and RhD blood groups and HIV infection among blood donors from all blood collection centers in eight of South Africa's nine provinces. Whole blood donations collected from first time donors between January 2012 and September 2016 were tested for HIV RNA by nucleic acid testing and HIV antibody using third generation serology assays. ABO and RhD blood types were determined using automated technology. Odds ratios for the association between HIV positivity and ABO and RhD phenotypes were calculated using multivariable logistic regression analysis. We analyzed 515,945 first time blood donors and the overall HIV prevalence was 1.12% (n = 5790). After multivariable adjustment, HIV infection was weakly associated with RhD positive phenotype (OR = 1.15, 95% CI 1.00-1.33) but not with ABO blood group. The observed association with RhD positive phenotype was marginal and likely due to residual confounding by racial group but could serve to generate hypotheses for further studies.
Collapse
Affiliation(s)
- Genevieve Jacobs
- South African National Blood Service, Johannesburg, South Africa
| | | | - Marion Vermeulen
- South African National Blood Service, Johannesburg, South Africa
| | | | - Brian Custer
- Vitalant Research Institute, San Francisco, California, United States of America
- University of California San Francisco, San Francisco, California, United States of America
| | - Edward L Murphy
- Vitalant Research Institute, San Francisco, California, United States of America
- University of California San Francisco, San Francisco, California, United States of America
| |
Collapse
|
21
|
Lewin A, Osiowy C, Erikstrup C, Custer B, Renaud C, Tiberghien P, Russell A, Lieshout-Krikke R, O'Brien SF. Research partnerships between blood services and public health authorities: An international, cross-sectional survey. Vox Sang 2022; 117:1368-1374. [PMID: 36366797 DOI: 10.1111/vox.13374] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [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: 08/16/2022] [Revised: 10/13/2022] [Accepted: 10/14/2022] [Indexed: 11/13/2022]
Abstract
BACKGROUND AND OBJECTIVES The COVID-19 pandemic has brought to the fore how blood services can partner with public health (PH) authorities to inform decisions. Yet the scope of partnerships between blood services and PH authorities is inadequately documented. We explored how blood services partner with PH authorities outside the scope of COVID-19. MATERIALS AND METHODS On 19 January 2022, survey was sent to employees of blood services located throughout the world. Survey questions mainly pertained to partnerships with PH authorities, including how blood specimens are used and collected. RESULTS Twenty-seven recipients-4 (14.8%) in Africa, 3 (11.1%) in Asia, 9 (33.3%) in Europe, 6 (22.2%) in North America, 2 (7.4%) in Oceania and 3 (11.1%) in South America-completed the survey. Fifteen recipients (55.6%) indicated their blood service was directly or indirectly supervised by PH authorities. Twenty-four recipients (88.9%) indicated currently using or planning to use blood donor data or samples for PH research or pathogen surveillance. A substantial proportion of respondents reported using samples or results from non-routine tests for the surveillance of non-transfusion-transmitted infectious disease pathogens (n = 13 [48.1%]); samples or results of non-routine tests for PH research unrelated to pathogens (n = 10 [37.0%]); donor data for PH research unrelated to pathogens (n = 12 [44.4%]) and donor data for PH research unrelated to transfusion safety (n = 11 [40.7%]). Fourteen (51.9%) had established (or planned to establish) longitudinal cohorts and 19 (70.4%) biobanks. CONCLUSION The majority of responding blood services were already involved in or planned to be involved in PH research or pathogen surveillance.
Collapse
Affiliation(s)
- Antoine Lewin
- Héma-Québec, Medical Affairs and Innovation, Montreal, Canada
| | - Carla Osiowy
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Canada
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, California, USA
| | | | - Pierre Tiberghien
- Établissement Français du Sang, La Plaine Saint Denis, France.,UMR RIGHT 1098, Inserm, Etablissement Français du Sang, University of Franche-Comté, Besançon, France
| | - Alton Russell
- School of Population and Global Health, McGill University, Montreal, Quebec, Canada
| | | | - Sheila F O'Brien
- Epidemiology & Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
| | | |
Collapse
|
22
|
Jang SK, Evans L, Fialkowski A, Arnett DK, Ashley-Koch AE, Barnes KC, Becker DM, Bis JC, Blangero J, Bleecker ER, Boorgula MP, Bowden DW, Brody JA, Cade BE, Jenkins BWC, Carson AP, Chavan S, Cupples LA, Custer B, Damrauer SM, David SP, de Andrade M, Dinardo CL, Fingerlin TE, Fornage M, Freedman BI, Garrett ME, Gharib SA, Glahn DC, Haessler J, Heckbert SR, Hokanson JE, Hou L, Hwang SJ, Hyman MC, Judy R, Justice AE, Kaplan RC, Kardia SLR, Kelly S, Kim W, Kooperberg C, Levy D, Lloyd-Jones DM, Loos RJF, Manichaikul AW, Gladwin MT, Martin LW, Nouraie M, Melander O, Meyers DA, Montgomery CG, North KE, Oelsner EC, Palmer ND, Payton M, Peljto AL, Peyser PA, Preuss M, Psaty BM, Qiao D, Rader DJ, Rafaels N, Redline S, Reed RM, Reiner AP, Rich SS, Rotter JI, Schwartz DA, Shadyab AH, Silverman EK, Smith NL, Smith JG, Smith AV, Smith JA, Tang W, Taylor KD, Telen MJ, Vasan RS, Gordeuk VR, Wang Z, Wiggins KL, Yanek LR, Yang IV, Young KA, Young KL, Zhang Y, Liu DJ, Keller MC, Vrieze S. Rare genetic variants explain missing heritability in smoking. Nat Hum Behav 2022; 6:1577-1586. [PMID: 35927319 PMCID: PMC9985486 DOI: 10.1038/s41562-022-01408-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 04/28/2021] [Accepted: 06/10/2022] [Indexed: 12/11/2022]
Abstract
Common genetic variants explain less variation in complex phenotypes than inferred from family-based studies, and there is a debate on the source of this 'missing heritability'. We investigated the contribution of rare genetic variants to tobacco use with whole-genome sequences from up to 26,257 unrelated individuals of European ancestries and 11,743 individuals of African ancestries. Across four smoking traits, single-nucleotide-polymorphism-based heritability ([Formula: see text]) was estimated from 0.13 to 0.28 (s.e., 0.10-0.13) in European ancestries, with 35-74% of it attributable to rare variants with minor allele frequencies between 0.01% and 1%. These heritability estimates are 1.5-4 times higher than past estimates based on common variants alone and accounted for 60% to 100% of our pedigree-based estimates of narrow-sense heritability ([Formula: see text], 0.18-0.34). In the African ancestry samples, [Formula: see text] was estimated from 0.03 to 0.33 (s.e., 0.09-0.14) across the four smoking traits. These results suggest that rare variants are important contributors to the heritability of smoking.
Collapse
Affiliation(s)
- Seon-Kyeong Jang
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Luke Evans
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
- Department of Ecology & Evolution, University of Colorado Boulder, Boulder, CO, USA
| | | | - Donna K Arnett
- Dean's Office, University of Kentucky College of Public Health, Lexington, KY, USA
| | | | - Kathleen C Barnes
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Diane M Becker
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | | | - Meher Preethi Boorgula
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian E Cade
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Brenda W Campbell Jenkins
- Jackson Heart Study Graduate Training and Education Center, Jackson State University School of Public Health, Jackson, MS, USA
| | - April P Carson
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Sameer Chavan
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA
| | - Scott M Damrauer
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA, USA
| | - Sean P David
- Department of Family Medicine, Prtizker School of Medicine, University of Chicago, Chicago, IL, USA
- NorthShore University HealthSystem, Evanston, IL, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | | | - Tasha E Fingerlin
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Center for Genes Environment and Health, National Jewish Health, Denver, CO, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Barry I Freedman
- Section on Nephrology, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Melanie E Garrett
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Sina A Gharib
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Center for Lung Biology, Division of Pulmonary, Critical Care and Sleep Medicine, University of Washington, Seattle, WA, USA
| | - David C Glahn
- Department of Psychiatry, Boston Children's Hosptial and Harvard Medical School, Boston, MA, USA
| | - Jeffrey Haessler
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - John E Hokanson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Matthew C Hyman
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Renae Judy
- Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Anne E Justice
- Department of Population Health Sciences, Geisinger Health System, Danville, PA, USA
| | - Robert C Kaplan
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Shannon Kelly
- Department of Pediatrics, UCSF Benioff Children's Hospital Oakland, Oakland, CA, USA
| | - Wonji Kim
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Daniel Levy
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
- Framingham Heart Study, Framingham, MA, USA
| | | | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ani W Manichaikul
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Mark T Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Olle Melander
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Department of Internal Medicine, Skåne University Hospital, Malmö, Sweden
| | | | - Courtney G Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Elizabeth C Oelsner
- Division of General Medicine, Columbia University Irving Medical Center, Columbia University, New York, NY, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Marinelle Payton
- Department of Epidemiology and Biostatistics, Jackson Heart Study Graduate Training and Education Center, Jackson State University School of Public Health, Jackson, MS, USA
| | - Anna L Peljto
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Michael Preuss
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, USA
| | - Dandi Qiao
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Daniel J Rader
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Nicholas Rafaels
- Division of Biomedical Informatics & Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Robert M Reed
- University of Maryland School of Medicine, Baltimore, MD, USA
| | - Alexander P Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, School of Medicine, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - David A Schwartz
- Department of Medicine, School of Medicine, University of Colorado Denver, Aurora, CO, USA
- Department of Immunology, School of Medicine, University of Colorado Denver, Aurora, CO, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA, USA
| | - J Gustav Smith
- Wallenberg Laboratory/Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University, Gothenburg, Sweden
- Department of Cardiology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Albert V Smith
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Marilyn J Telen
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Ramachandran S Vasan
- Sections of Preventive Medicine and Epidemiology and Cardiovascular Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Victor R Gordeuk
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Zhe Wang
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Lisa R Yanek
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Ivana V Yang
- Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA
| | - Kendra A Young
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kristin L Young
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Dajiang J Liu
- Department of Public Health Sciences, Penn State College of Medicine, Hershey, PA, USA
| | - Matthew C Keller
- Institute for Behavioral Genetics, University of Colorado Boulder, Boulder, CO, USA
| | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA.
| |
Collapse
|
23
|
van den Berg K, Vermeulen M, Bakkour S, Stone M, Jacobs G, Nyoni C, Barker C, McClure C, Creel D, Grebe E, Roubinian N, Jentsch U, Custer B, Busch MP, Murphy EL. Blood Center Testing Allows the Detection and Rapid Treatment of Acute and Recent HIV Infection. Viruses 2022; 14:v14112326. [PMID: 36366424 PMCID: PMC9698357 DOI: 10.3390/v14112326] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Revised: 10/14/2022] [Accepted: 10/17/2022] [Indexed: 11/06/2022] Open
Abstract
Blood donations in South Africa are tested for HIV RNA using individual donation NAT (ID-NAT), allowing detection and rapid antiretroviral therapy (ART) of acute HIV infections. We enrolled a cohort of acute and recent HIV-infected blood donation candidates in South Africa in 2015-2018, measured HIV antibody, ID-NAT, and recency of infection <195 days (Sedia LAg) at enrollment and initiated early ART. A small cohort of HIV elite controllers was followed without treatment. HIV reservoir measurements included ultrasensitive plasma RNA, cell-associated HIV RNA, and total DNA. Enrollment of 18 Fiebig I-III and 45 Fiebig IV-VI HIV clade C subjects occurred a median of 18 days after index blood donation. ART was administered successfully and compliance with follow-up visits was excellent. There were only minimal differences in HIV reservoir between ART initiation in Fiebig stages I-III vs. IV-VI, but ART noncompliance increased HIV reservoir. In 11 untreated HIV elite controllers, HIV reservoir levels were similar to or higher than those seen in our early treated cohort. National blood services can identify acute HIV cohorts for subsequent HIV cure research studies. Among HIV clade C-infected donors, HIV reservoir differed little by Fiebig stage at treatment initiation, but was smaller than in chronically treated HIV and those with ART noncompliance.
Collapse
Affiliation(s)
| | - Marion Vermeulen
- South African National Blood Service, Johannesburg 3610, South Africa
| | - Sonia Bakkour
- Vitalant Research Institute, San Francisco, CA 94118, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Mars Stone
- Vitalant Research Institute, San Francisco, CA 94118, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Genevieve Jacobs
- South African National Blood Service, Johannesburg 3610, South Africa
| | - Cynthia Nyoni
- South African National Blood Service, Johannesburg 3610, South Africa
| | - Coreen Barker
- Clinical HIV Research Unit, University of the Witwatersr, Johannesburg 2092, South Africa
| | | | | | - Eduard Grebe
- Vitalant Research Institute, San Francisco, CA 94118, USA
- DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch 7602, South Africa
| | - Nareg Roubinian
- Vitalant Research Institute, San Francisco, CA 94118, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94143, USA
- Kaiser Permanente Northern California, Oakland, CA 94612, USA
| | - Ute Jentsch
- South African National Blood Service, Johannesburg 3610, South Africa
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA 94118, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Michael P. Busch
- Vitalant Research Institute, San Francisco, CA 94118, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94143, USA
| | - Edward L. Murphy
- Vitalant Research Institute, San Francisco, CA 94118, USA
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA 94143, USA
- 270 Masonic Avenue, San Francisco, CA 94118, USA
- Correspondence: ; Tel.: +1-415-749-6668
| | | |
Collapse
|
24
|
Flor-Park MV, Ozahata MC, Moura ICG, Blatyta P, Kelly S, Oliveira CDL, Capuani L, Belisário AR, Carneiro-Proietti ABF, Araujo AS, Loureiro P, Maximo C, Rodrigues DOW, Mota RA, Sabino E, Custer B, Rocha V. Is Severity Score Associated With Indication for Hematopoietic Stem Cell Transplantation in Individuals With Sickle Cell Anemia? Transplant Cell Ther 2022; 28:708.e1-708.e8. [PMID: 35788087 PMCID: PMC10979754 DOI: 10.1016/j.jtct.2022.06.024] [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: 02/15/2022] [Revised: 06/08/2022] [Accepted: 06/26/2022] [Indexed: 10/16/2022]
Abstract
Manifestations of sickle cell disease (SCD) begin early in childhood and cause morbidity and decreased life expectancy. Hematopoietic stem cell transplantation (HSCT) is curative but associated with risk of mortality attributable to the transplant. This risk should be counterbalanced with SCD morbidity and mortality. A severity score using a Bayesian network model was previously validated to predict the risk of death in adult individuals with SCD. The objective of this study is to calculate the severity scores of participants in a multicenter cohort of Brazilians with SCD, using a previously published Bayesian network-derived score, associated with risk of death and then compare the severity scores between participants with and without an indication for HSCT as defined by the Brazilian Ministry of Health (MoH) criteria. This is an observational, retrospective study. We analyzed 2063 individuals with sickle cell anemia from the Recipient Epidemiology and Donor Evaluation Study-III Brazil SCD cohort and applied a Bayesian network-derived score to compare candidates and non-candidates for HSCT according to the Brazilian MoH transplant criteria. Classical statistical methods were used to analyze data and make comparisons. We compared severity scores between cohort members with (n = 431) and without (n = 1632) HSCT indications according to Brazilian MoH. Scores were not different in adult participants with ≥1 HSCT indication when compared to those with no indication (mean 0.342 versus 0.292; median 0.194 versus 0.183, P = .354) and receiver operating characteristic curves did not demonstrate an obvious threshold to differentiate participants with or without HSCT indications. Severity score may predict risk of death but does not differentiate HSCT candidates. Current indications should be evaluated to ensure that patients with more severe disease who might benefit from HSCT are appropriately identified.
Collapse
Affiliation(s)
- Miriam V Flor-Park
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Instituto da Criança, São Paulo, Brazil.
| | | | | | | | - Shannon Kelly
- Vitalant Research Institute, Epidemiology, San Francisco, California; University of California San Francisco Benioff Children's Hospital, Oakland, California
| | | | - Ligia Capuani
- Departamento de Moléstias Infecciosas e Parasitárias da Faculdade de medicina da Universidade de São Paulo, Brazil
| | | | | | - Aderson S Araujo
- Department of Hematology, Fundação de Hematologia e Hemoterapia de Pernambuco, HEMOPE, Pernambuco, Brazil
| | - Paula Loureiro
- Research Department, Fundação de Hematologia e Hemoterapia de Pernambuco, HEMOPE, Pernambuco, Brazil; Research Department, Universidade de Pernambuco, Pernambuco, Brazil
| | - Claudia Maximo
- Department of Hematology, Instituto Estadual de Hematologia Arthur de Siqueira Cavalcanti-HEMORIO, Rio de Janeiro, Brazil
| | | | - Rosimere A Mota
- Department of Hematology, Hemocentro Regional de Montes Claros, Fundação HEMOMINAS, Montes Claros, Brazil
| | - Ester Sabino
- Instituto de Medicina Tropical and Departamento de Moléstias Infecciosas e Parasitárias da Faculdade de Medicina da Universidade de São Paulo, Brazil
| | - Brian Custer
- Vitalant Research Institute, Epidemiology, San Francisco, California; Department of Laboratory Medicine, University of California San Francisco, San Francisco, CA, USA
| | - Vanderson Rocha
- Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, Serviço de Hematologia, Hemoterapia e Terapia Celular, São Paulo, Brazil; Laboratory of Medical Investigation (LIM 31) in Pathogenesis and Directed Therapy in Onco-Immuno-Hematology, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil; Department of Haematology, University of Oxford, Churchill Hospital, Oxford, United Kingdom
| |
Collapse
|
25
|
Holmberg JA, Henry SM, Burnouf T, Devine D, Marschner S, Boothby TC, Burger SR, Chou ST, Custer B, Blumberg N, Siegel DL, Spitalnik SL. National Blood Foundation 2021 Research and Development summit: Discovery, innovation, and challenges in advancing blood and biotherapies. Transfusion 2022; 62:2391-2404. [PMID: 36169155 DOI: 10.1111/trf.17092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2022] [Accepted: 08/05/2022] [Indexed: 11/29/2022]
Affiliation(s)
| | - Stephen M Henry
- Centre for Kode Technology Innovation, School of Engineering, Computer and Mathematical Sciences, Faculty of Design and Creative Technologies, Auckland University of Technology, Auckland, New Zealand
| | - Thierry Burnouf
- Graduate Institute of Biomedical Materials and Tissue Engineering & International PhD Program in Biomedical Engineering, Taipei Medical University, Taipei, Taiwan
| | - Dana Devine
- Centre for Blood Research, Canadian Blood Services, University of British Columbia, Vancouver, Canada
| | | | - Thomas C Boothby
- Department of Molecular Biology, University of Wyoming, Laramie, Wyoming, USA
| | - Scott R Burger
- Advanced Cell & Gene Therapy, LLC, Chapel Hill, North Carolina, USA
| | - Stella T Chou
- Children's Hospital of Philadelphia, Perelman School of Medicine, Divisions of Hematology and Transfusion Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brian Custer
- Vitalant Research Institute and the Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Neil Blumberg
- University of Rochester Medical Center, Rochester, New York, USA
| | - Donald L Siegel
- Hospital of the University of Pennsylvania, Perelman School of Medicine, Division of Transfusion Medicine and Therapeutic Pathology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Steven L Spitalnik
- Department of Pathology & Cell Biology, Columbia University, New York, New York, USA
| |
Collapse
|
26
|
Grebe E, Yu EA, Bravo MD, Welte A, Bruhn RL, Stone M, Green V, Williamson PC, Feldstein LR, Jones JM, Busch MP, Custer B. COVID-19 vaccine effectiveness against SARS-CoV-2 infection in the United States prior to the Delta and Omicron-associated surges: a retrospective cohort study of repeat blood donors. J Infect Dis 2022; 226:1556-1561. [PMID: 35921537 PMCID: PMC9384661 DOI: 10.1093/infdis/jiac318] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Accepted: 08/01/2022] [Indexed: 11/26/2022] Open
Abstract
To inform public health policy, it is critical to monitor COVID-19 vaccine effectiveness (VE), including against acquiring infection. We estimated VE using self-reported vaccination in a retrospective cohort of repeat blood donors who donated during the first half of 2021, demonstrating a viable approach for monitoring of VE via serological surveillance. Using Poisson regression, we estimated an overall VE of 88.8% (95% CI: 86.2–91.1), adjusted for demographic covariates and variable baseline risk. Time since first reporting vaccination, age, race-ethnicity, region, and calendar time were statistically significant predictors of incident infection.
Collapse
Affiliation(s)
- Eduard Grebe
- Vitalant Research Institute, San Francisco, CA, USA.,University of California San Francisco, San Francisco, CA, USA.,South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Elaine A Yu
- Vitalant Research Institute, San Francisco, CA, USA
| | | | - Alex Welte
- South African DSI-NRF Centre of Excellence in Epidemiological Modelling and Analysis (SACEMA), Stellenbosch University, Stellenbosch, South Africa
| | - Roberta L Bruhn
- Vitalant Research Institute, San Francisco, CA, USA.,University of California San Francisco, San Francisco, CA, USA
| | - Mars Stone
- Vitalant Research Institute, San Francisco, CA, USA.,University of California San Francisco, San Francisco, CA, USA
| | | | | | | | | | - Michael P Busch
- Vitalant Research Institute, San Francisco, CA, USA.,University of California San Francisco, San Francisco, CA, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA.,University of California San Francisco, San Francisco, CA, USA
| |
Collapse
|
27
|
Busch MP, Stramer SL, Stone M, Yu EA, Grebe E, Notari E, Saa P, Ferg R, Manrique IM, Weil N, Fink RV, Levy M, Green V, Cyrus S, Williamson PC, Haynes J, Groves J, Krysztof D, Custer B, Kleinman S, Biggerstaff BJ, Opsomer JD, Jones JM. Population-Weighted Seroprevalence From Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Infection, Vaccination, and Hybrid Immunity Among US Blood Donations From January to December 2021. Clin Infect Dis 2022; 75:S254-S263. [PMID: 35684973 PMCID: PMC9214177 DOI: 10.1093/cid/ciac470] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2022] [Indexed: 01/19/2023] Open
Abstract
BACKGROUND Previous severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and coronavirus disease 2019 (COVID-19) vaccination, independently and combined ("hybrid immunity"), result in partial protection from subsequent infection and strong protection from severe disease. Proportions of the US population who have been infected, vaccinated, or have hybrid immunity remain unclear, posing a challenge for assessing effective pandemic mitigation strategies. METHODS In this serial cross-sectional study, nationwide blood donor specimens collected during January-December 2021 were tested for anti-spike and anti-nucleocapsid antibodies, and donor COVID-19 vaccination history of ≥1 dose was collected. Monthly seroprevalence induced from SARS-CoV-2 infection, COVID-19 vaccination, or both, were estimated. Estimates were weighted to account for demographic differences from the general population and were compared temporally and by demographic factors. RESULTS Overall, 1 123 855 blood samples were assayed. From January to December 2021, the weighted percentage of donations with seropositivity changed as follows: seropositivity due to vaccination without previous infection, increase from 3.5% (95% confidence interval, 3.4%-3.7%) to 64.0%, (63.5%-64.5%); seropositivity due to previous infection without vaccination, decrease from 15.6% (15.2%-16.0%) to 11.7% (11.4%-12.0%); and seropositivity due to hybrid immunity, increase from 0.7% (0.6%-0.7%) to 18.9% (18.5%-19.3%). Combined seroprevalence from infection, vaccination, or both increased from 19.8% (19.3%-20.2%) to 94.5% (93.5%-94.0%). Infection- and vaccination-induced antibody responses varied significantly by age, race-ethnicity, and region, but not by sex. CONCLUSIONS Our results indicate substantial increases in population humoral immunity from SARS-CoV-2 infection, COVID-19 vaccination, and hybrid immunity during 2021. These findings are important to consider in future COVID-19 studies and long-term pandemic mitigation efforts.
Collapse
Affiliation(s)
- Michael P. Busch
- Corresponding authors Michael P. Busch, MD. PhD Vitalant Research Institute 270 Masonic Avenue San Francisco, CA 94118
| | - Susan L. Stramer
- American Red Cross, Scientific Affairs, Gaithersburg and Rockville, Maryland, USA
| | - Mars Stone
- Vitalant Research Institute, San Francisco, California, USA,University of California San Francisco, San Francisco, California, USA
| | - Elaine A. Yu
- Vitalant Research Institute, San Francisco, California, USA,University of California San Francisco, San Francisco, California, USA
| | - Eduard Grebe
- Vitalant Research Institute, San Francisco, California, USA,University of California San Francisco, San Francisco, California, USA
| | - Edward Notari
- American Red Cross, Scientific Affairs, Gaithersburg and Rockville, Maryland, USA
| | - Paula Saa
- American Red Cross, Scientific Affairs, Gaithersburg and Rockville, Maryland, USA
| | | | | | | | | | | | | | | | | | - James Haynes
- American Red Cross, Scientific Affairs, Gaithersburg and Rockville, Maryland, USA
| | - Jamel Groves
- American Red Cross, Scientific Affairs, Gaithersburg and Rockville, Maryland, USA
| | - David Krysztof
- American Red Cross, Scientific Affairs, Gaithersburg and Rockville, Maryland, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA,University of California San Francisco, San Francisco, California, USA
| | - Steve Kleinman
- Vitalant Research Institute, San Francisco, California, USA
| | | | | | | |
Collapse
|
28
|
Abstract
The aim of this study was to investigate the association of religiosity with blood donation in a representative/stratified sample of primary healthcare users of Ribeirão Preto, São Paulo, Brazil. A cross-sectional study was conducted using the Duke University Religious Index-DUREL (dimensions: organizational, non-organizational, and intrinsic religiosity). Odds ratios adjusted by sex and age were used as measures of association. A total of 1055 individuals participated (79.7% females; mean age = 40.6 years); 23.3% had previously donated blood. Most reported having a religion and grew up in a religious environment. High frequencies of religiosity were observed. Similar DUREL scores were observed among participants who donated blood and those who did not. Family members and close friends had significant influence on participants' blood donation practices. Religiosity was not directly associated with blood donation despite the high prevalence and scores of religiosity. However, possible associations between religion and blood donation should consider mediating variables in future studies.
Collapse
Affiliation(s)
- Miriane Zucoloto
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo - USP, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo, CEP 14049-900, Brazil.
| | | | - Willi McFarland
- Department of Epidemiology and Biostatistics, University of California San Francisco - UCSF, San Francisco, CA, USA
| | - Brian Custer
- Blood Systems Research Institute, San Francisco, CA, USA
| | - Edson Martinez
- Department of Social Medicine, Ribeirão Preto Medical School, University of São Paulo - USP, Avenida Bandeirantes 3900, Monte Alegre, Ribeirão Preto, São Paulo, CEP 14049-900, Brazil
| |
Collapse
|
29
|
Grégoire Y, Delage G, Custer B, Rochette S, Renaud C, Lewin A, Germain M. Cost-effectiveness of pathogen reduction technology for plasma and platelets in Québec: A focus on potential emerging pathogens. Transfusion 2022; 62:1208-1217. [PMID: 35560238 DOI: 10.1111/trf.16926] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/28/2022] [Accepted: 03/28/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND The last economic evaluation of pathogen reduction technology (PRT) in Canada was conducted in 2007. We reassessed the cost-effectiveness of PRT in the province of Québec (which has its own blood supplier) and included an evaluation of the potential impact of emerging pathogens on cost-effectiveness. STUDY DESIGN AND METHODS Decision analytic Markov models were developed to simulate the costs and quality-adjusted life-years (QALY) associated with PRT as an addition to existing safety measures for plasma and platelet products (except for bacterial culture). Models accounted for several infectious and noninfectious transfusion reactions, recipients' productivity losses ensuing from these reactions, and the impact of PRT on platelet function. Scenario analyses were conducted to evaluate the impact of a new highly contagious human immunodeficiency virus (HIV)-like or West Nile virus (WNV)-like pathogen, assuming various epidemiological scenarios. RESULTS In the base case, the incremental cost-effectiveness ratio (ICER) of PRT was estimated at $8,088,974/QALY gained. Assuming the presence of an HIV-like pathogen, the ICER was $265,209/QALY gained in the "average transmission" scenario, $1,274,445/QALY gained in the "rapid testing scenario," and $123,063/QALY gained in the "highly contagious" scenario. Assuming the presence of a WNV-like pathogen, the ICER was $7,469,167/QALY gained in the "average transmission" scenario and $6,652,769/QALY gained in the "highly contagious" scenario. CONCLUSION The cost-effectiveness of PRT may substantially improve in the event of a new, blood-borne pathogen. Given their significant impact on cost-effectiveness, the emergence of new pathogens should be considered when deciding whether to adopt PRT.
Collapse
Affiliation(s)
- Yves Grégoire
- Medical Affairs and Innovation, Héma-Québec, Québec city, Canada
| | | | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco (UCSF), San Francisco, California, USA
| | | | | | | | - Marc Germain
- Medical Affairs and Innovation, Héma-Québec, Québec city, Canada
| |
Collapse
|
30
|
Josephson CD, Glynn S, Mathew S, Birch R, Bakkour S, Baumann Kreuziger L, Busch MP, Chapman K, Dinardo C, Hendrickson J, Hod EA, Kelly S, Luban N, Mast A, Norris P, Custer B, Sabino E, Sachais B, Spencer BR, Stone M, Kleinman S. The Recipient Epidemiology and Donor Evaluation Study-IV-Pediatric (REDS-IV-P): A research program striving to improve blood donor safety and optimize transfusion outcomes across the lifespan. Transfusion 2022; 62:982-999. [PMID: 35441384 PMCID: PMC9353062 DOI: 10.1111/trf.16869] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [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: 12/05/2021] [Revised: 03/04/2022] [Accepted: 03/04/2022] [Indexed: 12/19/2022]
Abstract
BACKGROUND The Recipient Epidemiology and Donor Evaluation Study-IV-Pediatric (REDS-IV-P) is a new iteration of prior National Heart, Lung, and Blood Institute (NHLBI) REDS programs that focus on improving transfusion recipient outcomes across the lifespan as well as the safety and availability of the blood supply. STUDY DESIGN AND METHODS The US program includes blood centers and hospitals (22 including 6 free-standing Children's hospitals) in four geographic regions. The Brazilian program has 5 participating hemocenters. A Center for Transfusion Laboratory Studies (CTLS) and a Data Coordinating Center (DCC) support synergistic studies and activities over the 7-year REDS-IV-P program. RESULTS The US is building a centralized, vein-to-vein (V2V) database, linking information collected from blood donors, their donations, the resulting manufactured components, and data extracts from hospital electronic medical records of transfused and non-transfused patients. Simultaneously, the Brazilian program is building a donor, donation, and component database. The databases will serve as the backbone for retrospective and prospective observational studies in transfusion epidemiology, transfusion recipient outcomes, blood component quality, and emerging blood safety issues. Special focus will be on preterm infants, patients with sickle cell disease, thalassemia or cancer, and the effect of donor biologic variability and component manufacturing on recipient outcomes. A rapid response capability to emerging safety threats has resulted in timely studies related to Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2). CONCLUSIONS The REDS-IV-P program endeavors to improve donor-recipient-linked research with a focus on children and special populations while also maintaining the flexibility to address emerging blood safety issues.
Collapse
Affiliation(s)
- Cassandra D Josephson
- Departments of Pathology and Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Simone Glynn
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Sunitha Mathew
- Public Health and Epidemiology Practice, Westat, Rockville, Maryland, USA
| | - Rebecca Birch
- Public Health and Epidemiology Practice, Westat, Rockville, Maryland, USA
| | - Sonia Bakkour
- Vitalant Research Institute, University of California San Francisco, San Francisco, California, USA
| | | | - Michael P Busch
- Vitalant Research Institute, University of California San Francisco, San Francisco, California, USA
| | - Kathleen Chapman
- Public Health and Epidemiology Practice, Westat, Rockville, Maryland, USA
| | - Carla Dinardo
- Immunohematology, Faculdade de Medicina da Universidade de Sao and Fundacao Pro-Sangue, São Paulo, Brazil
| | - Jeanne Hendrickson
- Departments of Pediatrics and Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut, USA
| | - Eldad A Hod
- Department of Pathology & Cell Biology, Columbia University Irving Medical Center, New York, New York, USA
| | - Shannon Kelly
- Department of Pediatric Hematology & Oncology, UCSF Benioff Children's Hospital, Oakland, California, USA
| | - Naomi Luban
- Children's Research National Institute, Children's National Hospital, Washington, District of Columbia, USA
| | - Alan Mast
- Versiti Blood Research Institute, Versiti, Milwaukee, Wisconsin, USA
| | - Philip Norris
- Vitalant Research Institute, University of California San Francisco, San Francisco, California, USA
| | - Brian Custer
- Vitalant Research Institute, University of California San Francisco, San Francisco, California, USA
| | - Ester Sabino
- Department of Infectious Disease, Faculdade de Medicina da Universidade de Sao Paulo, São Paulo, Brazil
| | | | - Bryan R Spencer
- Scientific Affairs, American Red Cross, Dedham, Massachusetts, USA
| | - Mars Stone
- Vitalant Research Institute, University of California San Francisco, San Francisco, California, USA
| | - Steve Kleinman
- Department of Pathology and Laboratory Medicine, University of British Columbia, Victoria, British Columbia, Canada
| | | |
Collapse
|
31
|
Miranda C, Utsch-Gonçalves D, Piassi FCC, Loureiro P, Gomes I, Ribeiro MA, de Almeida-Neto C, Blatyta P, Amorim L, Garcia Mateos SO, Murphy EL, Custer B, Carneiro-Proietti ABF, Sabino EC. Prevalence and Risk Factors for Human T-Cell Lymphotropic Virus (HTLV) in Blood Donors in Brazil-A 10-Year Study (2007-2016). Front Med (Lausanne) 2022; 9:844265. [PMID: 35355612 PMCID: PMC8959844 DOI: 10.3389/fmed.2022.844265] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 12/27/2021] [Accepted: 02/10/2022] [Indexed: 12/12/2022] Open
Abstract
It is unknown whether HTLV-1/2 prevalence has been stable or changing with time in Brazil. We present a 10-year (2007–2016) analysis of HTLV-1/2 infection in first-time blood donors from four blood banks in Brazil. The Brazilian blood centers participating in this multicenter Recipient Epidemiology and Donor Evaluation Study (REDS) are located in Recife in the Northeast and in São Paulo, Rio de Janeiro and Belo Horizonte located in the Southeast of the country. A previous REDS study using the same database from 2007 to 2009 showed that the prevalence per 100,000 donors was 222 in Recife, 83 in Belo Horizonte and 101 in São Paulo. From 2007 to 2016, HTLV-1/2 prevalence was calculated by year, blood center and birth cohort. Covariates included age, gender, schooling, self-reported skin color and type of donation. From 1,092,174 first-blood donations, in the general analysis, HTLV-1/2 infection predominated in females, donors over 50 years of age, black skin color and less educated. The average prevalence was 228 per 100,000 donors in Recife, 222 in Rio de Janeiro, 104 in Belo Horizonte and 103 in São Paulo. In the 10-year analysis, HTLV-1/2 prevalence was stable, but a trend was observed toward an increase in HTLV-1/2 infection among younger people (p < 0.001), males (p = 0.049), those with white skin color (p < 0.001), and higher education (p = 0.014). Therefore, this 10-year surveillance of the infection showed stable HTLV-1/2 prevalence overall but a trend toward increased prevalence among the younger and more educated donors despite Brazilian policies to control sexually transmitted infections being in place for more than 10 years.
Collapse
Affiliation(s)
- Carolina Miranda
- Programa de Pós-Graduação em Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Denise Utsch-Gonçalves
- Programa de Pós-Graduação em Infectologia e Medicina Tropical, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Fabiana Chagas Camargos Piassi
- Departamento de Propedêutica Complementar, Faculdade de Medicina da Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Paula Loureiro
- Fundação Hemope, Recife, Brazil.,Department of Clinical Medicine, Universidade de Pernambuco, Recife, Brazil
| | - Isabel Gomes
- Faculdade Ciências Médicas de Minas Gerais, Belo Horizonte, Brazil
| | | | | | - Paula Blatyta
- Fundação Pró-Sangue, Hemocentro de São Paulo, São Paulo, Brazil
| | - Luiz Amorim
- Fundação Hemorio, Hemocentro do Rio de Janeiro, Rio de Janeiro, Brazil
| | | | - Edward L Murphy
- Department of Laboratory Medicine, Vitalant Research Institute, San Francisco, CA, United States.,Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States
| | - Brian Custer
- Department of Laboratory Medicine, Vitalant Research Institute, San Francisco, CA, United States.,Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, United States
| | | | - Ester C Sabino
- Faculdade de Medicina da Universidade de São Paulo, Instituto de Medicina Tropical, São Paulo, Brazil
| |
Collapse
|
32
|
Taub MA, Conomos MP, Keener R, Iyer KR, Weinstock JS, Yanek LR, Lane J, Miller-Fleming TW, Brody JA, Raffield LM, McHugh CP, Jain D, Gogarten SM, Laurie CA, Keramati A, Arvanitis M, Smith AV, Heavner B, Barwick L, Becker LC, Bis JC, Blangero J, Bleecker ER, Burchard EG, Celedón JC, Chang YPC, Custer B, Darbar D, de las Fuentes L, DeMeo DL, Freedman BI, Garrett ME, Gladwin MT, Heckbert SR, Hidalgo BA, Irvin MR, Islam T, Johnson WC, Kaab S, Launer L, Lee J, Liu S, Moscati A, North KE, Peyser PA, Rafaels N, Seidman C, Weeks DE, Wen F, Wheeler MM, Williams LK, Yang IV, Zhao W, Aslibekyan S, Auer PL, Bowden DW, Cade BE, Chen Z, Cho MH, Cupples LA, Curran JE, Daya M, Deka R, Eng C, Fingerlin TE, Guo X, Hou L, Hwang SJ, Johnsen JM, Kenny EE, Levin AM, Liu C, Minster RL, Naseri T, Nouraie M, Reupena MS, Sabino EC, Smith JA, Smith NL, Lasky-Su J, Taylor JG, Telen MJ, Tiwari HK, Tracy RP, White MJ, Zhang Y, Wiggins KL, Weiss ST, Vasan RS, Taylor KD, Sinner MF, Silverman EK, Shoemaker MB, Sheu WHH, Sciurba F, Schwartz DA, Rotter JI, Roden D, Redline S, Raby BA, Psaty BM, Peralta JM, Palmer ND, Nekhai S, Montgomery CG, Mitchell BD, Meyers DA, McGarvey ST, Mak AC, Loos RJ, Kumar R, Kooperberg C, Konkle BA, Kelly S, Kardia SL, Kaplan R, He J, Gui H, Gilliland FD, Gelb BD, Fornage M, Ellinor PT, de Andrade M, Correa A, Chen YDI, Boerwinkle E, Barnes KC, Ashley-Koch AE, Arnett DK, Albert C, Laurie CC, Abecasis G, Nickerson DA, Wilson JG, Rich SS, Levy D, Ruczinski I, Aviv A, Blackwell TW, Thornton T, O’Connell J, Cox NJ, Perry JA, Armanios M, Battle A, Pankratz N, Reiner AP, Mathias RA. Genetic determinants of telomere length from 109,122 ancestrally diverse whole-genome sequences in TOPMed. Cell Genom 2022; 2:S2666-979X(21)00105-1. [PMID: 35530816 PMCID: PMC9075703 DOI: 10.1016/j.xgen.2021.100084] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 09/03/2021] [Accepted: 12/10/2021] [Indexed: 01/16/2023]
Abstract
Genetic studies on telomere length are important for understanding age-related diseases. Prior GWAS for leukocyte TL have been limited to European and Asian populations. Here, we report the first sequencing-based association study for TL across ancestrally-diverse individuals (European, African, Asian and Hispanic/Latino) from the NHLBI Trans-Omics for Precision Medicine (TOPMed) program. We used whole genome sequencing (WGS) of whole blood for variant genotype calling and the bioinformatic estimation of telomere length in n=109,122 individuals. We identified 59 sentinel variants (p-value <5×10-9) in 36 loci associated with telomere length, including 20 newly associated loci (13 were replicated in external datasets). There was little evidence of effect size heterogeneity across populations. Fine-mapping at OBFC1 indicated the independent signals colocalized with cell-type specific eQTLs for OBFC1 (STN1). Using a multi-variant gene-based approach, we identified two genes newly implicated in telomere length, DCLRE1B (SNM1B) and PARN. In PheWAS, we demonstrated our TL polygenic trait scores (PTS) were associated with increased risk of cancer-related phenotypes.
Collapse
Affiliation(s)
- Margaret A. Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Matthew P. Conomos
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Rebecca Keener
- Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA
| | - Kruthika R. Iyer
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Joshua S. Weinstock
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Lisa R. Yanek
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - John Lane
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Tyne W. Miller-Fleming
- Department of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jennifer A. Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Laura M. Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Caitlin P. McHugh
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Deepti Jain
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Stephanie M. Gogarten
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Cecelia A. Laurie
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Ali Keramati
- Department of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Marios Arvanitis
- Department of Medicine, Division of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Albert V. Smith
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Benjamin Heavner
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Lucas Barwick
- LTRC Data Coordinating Center, The Emmes Company, LLC, Rockville, MD, USA
| | - Lewis C. Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Joshua C. Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Eugene R. Bleecker
- Department of Medicine, Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Division of Pharmacogenomics, University of Arizona, Tucson, AZ, USA
| | - Esteban G. Burchard
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
| | - Juan C. Celedón
- Division of Pediatric Pulmonary Medicine, UPMC Children’s Hospital of Pittsburgh, University of Pittsburgh, Pittsburgh, PA, USA
| | - Yen Pei C. Chang
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Lisa de las Fuentes
- Cardiovascular Division, Department of Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO, USA
| | - Dawn L. DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Barry I. Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Melanie E. Garrett
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Mark T. Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Susan R. Heckbert
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Bertha A. Hidalgo
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Marguerite R. Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Talat Islam
- Division of Environmental Health, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - W. Craig Johnson
- Department of Biostatistics, Collaborative Health Studies Coordinating Center, University of Washington, Seattle, WA, USA
| | - Stefan Kaab
- Department of Medicine I, University Hospital Munich, Ludwig-Maximilian’s University, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Lenore Launer
- Laboratory of Epidemiology and Population Science, National Institute on Aging, National Institutes of Health, Bethesda, MD, USA
| | - Jiwon Lee
- Department of Medicine, Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, MA, USA
| | - Simin Liu
- Department of Epidemiology and Brown Center for Global Cardiometabolic Health, Brown University, Providence, RI, USA
| | - Arden Moscati
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kari E. North
- Department of Epidemiology, University of North Carolina, Chapel Hill, Chapel Hill, NC, USA
| | - Patricia A. Peyser
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Nicholas Rafaels
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | | | - Daniel E. Weeks
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Fayun Wen
- Center for Sickle Cell Disease and Department of Medicine, College of Medicine, Howard University, Washington, DC 20059, USA
| | - Marsha M. Wheeler
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - L. Keoki Williams
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Ivana V. Yang
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Wei Zhao
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Paul L. Auer
- Zilber School of Public Health, University of Wisconsin, Milwaukee, Milwaukee, WI, USA
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Brian E. Cade
- Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Zhanghua Chen
- Division of Environmental Health, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Michael H. Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - L. Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
| | - Joanne E. Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Michelle Daya
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Ranjan Deka
- Department of Environmental and Public Health Sciences, University of Cincinnati, Cincinnati, OH, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Tasha E. Fingerlin
- Center for Genes, Environment, and Health, National Jewish Health, Denver, CO, USA
- Department of Biostatistics and Informatics, University of Colorado, Denver, Aurora, CO, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University, Chicago, IL, USA
| | - Shih-Jen Hwang
- Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jill M. Johnsen
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- University of Washington, Department of Medicine, Seattle, WA, USA
| | - Eimear E. Kenny
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Albert M. Levin
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Chunyu Liu
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - Ryan L. Minster
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Take Naseri
- Ministry of Health, Government of Samoa, Apia, Samoa
- Department of Epidemiology & International Health Institute, School of Public Health, Brown University, Providence, RI, USA
| | - Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | | | - Ester C. Sabino
- Instituto de Medicina Tropical da Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Jennifer A. Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Nicholas L. Smith
- Cardiovascular Health Research Unit and Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Jessica Lasky-Su
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - James G. Taylor
- Center for Sickle Cell Disease and Department of Medicine, College of Medicine, Howard University, Washington, DC 20059, USA
| | - Marilyn J. Telen
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
- Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
| | - Hemant K. Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Russell P. Tracy
- Departments of Pathology & Laboratory Medicine and Biochemistry, Larrner College of Medicine, University of Vermont, Colchester, VT, USA
| | - Marquitta J. White
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Kerri L. Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Scott T. Weiss
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Ramachandran S. Vasan
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Moritz F. Sinner
- Department of Medicine I, University Hospital Munich, Ludwig-Maximilian’s University, Munich, Germany
- German Centre for Cardiovascular Research (DZHK), partner site Munich Heart Alliance, Munich, Germany
| | - Edwin K. Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - M. Benjamin Shoemaker
- Departments of Medicine, Pharmacology, and Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Wayne H.-H. Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Frank Sciurba
- Division of Pulmonary, Allergy, and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - David A. Schwartz
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Departments of Pediatrics and Medicine, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Daniel Roden
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Susan Redline
- Division of Sleep Medicine, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Benjamin A. Raby
- Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Division of Pulmonary Medicine, Boston Children’s Hospital, Boston, MA, USA
| | - Bruce M. Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA, USA
| | - Juan M. Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Sergei Nekhai
- Center for Sickle Cell Disease and Department of Medicine, College of Medicine, Howard University, Washington, DC 20059, USA
| | - Courtney G. Montgomery
- Genes and Human Disease Research Program, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Braxton D. Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Deborah A. Meyers
- Department of Medicine, Division of Genetics, Genomics, and Precision Medicine, University of Arizona, Tucson, AZ, USA
- Division of Pharmacogenomics, University of Arizona, Tucson, AZ, USA
| | - Stephen T. McGarvey
- Department of Epidemiology & International Health Institute, School of Public Health, Brown University, Providence, RI, USA
| | | | - Angel C.Y. Mak
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Ruth J.F. Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rajesh Kumar
- Division of Allergy and Clinical Immunology, The Ann and Robert H. Lurie Children’s Hospital of Chicago, and Department of Pediatrics, Northwestern University, Chicago, IL, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Barbara A. Konkle
- Bloodworks Northwest Research Institute, Seattle, WA, USA
- University of Washington, Department of Medicine, Seattle, WA, USA
| | - Shannon Kelly
- Vitalant Research Institute, San Francisco, CA, USA
- UCSF Benioff Children’s Hospital, Oakland, CA, USA
| | - Sharon L.R. Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jiang He
- Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA
| | - Hongsheng Gui
- Center for Individualized and Genomic Medicine Research (CIGMA), Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Frank D. Gilliland
- Division of Environmental Health, Department of Population and Public Health Sciences, University of Southern California, Los Angeles, CA, USA
| | - Bruce D. Gelb
- Mindich Child Health and Development Institute, Departments of Pediatrics and Genetics & Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Patrick T. Ellinor
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mariza de Andrade
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN, USA
| | - Adolfo Correa
- Jackson Heart Study and Departments of Medicine and Population Health Science, Jackson, MS, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Eric Boerwinkle
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Kathleen C. Barnes
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Allison E. Ashley-Koch
- Department of Medicine and Duke Comprehensive Sickle Cell Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Donna K. Arnett
- College of Public Health, University of Kentucky, Lexington, KY, USA
| | - Christine Albert
- Harvard Medical School, Boston, MA, USA
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | | | | | | | - Cathy C. Laurie
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA, USA
| | - Goncalo Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | | | - James G. Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MI, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Daniel Levy
- The National Heart, Lung, and Blood Institute, Boston University’s Framingham Heart Study, Framingham, MA, USA
- The Population Sciences Branch, Division of Intramural Research, National Heart, Lung, and Blood Institute, Bethesda, MD, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Abraham Aviv
- Center of Human Development and Aging, Rutgers New Jersey Medical School, Newark, NJ, USA
| | - Thomas W. Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Timothy Thornton
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Jeff O’Connell
- Division of Endocrinology, Diabetes, and Nutrition, Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Program for Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nancy J. Cox
- Vanderbilt Genetics Institute and Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - James A. Perry
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Mary Armanios
- Department of Oncology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins Whiting School of Engineering, Baltimore, MD, USA
- Departments of Computer Science and Genetic Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine & Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Alexander P. Reiner
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Rasika A. Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| |
Collapse
|
33
|
Prioli KM, Abersone I, Kopko PM, Herman JH, Custer B, Pizzi LT. Economic implications of FDA platelet bacterial guidance compliance options: Comparison of single-step strategies. Transfusion 2022; 62:365-373. [PMID: 34997763 PMCID: PMC9303536 DOI: 10.1111/trf.16778] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 11/11/2021] [Accepted: 11/11/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND Bloodborne pathogens pose a major safety risk in transfusion medicine. To mitigate the risk of bacterial contamination in platelet units, FDA issues updated guidance materials on various bacterial risk control strategies (BRCS). This analysis presents results of a budget impact model updated to include 5- and 7-day pathogen reduced (PR) and large volumed delayed sampling (LVDS) BRCS. STUDY DESIGN AND METHODS Model base-case parameter inputs were based on scientific literature, a survey distributed to 27 US hospitals, and transfusion experts' opinion. The outputs include hospital budget and shelf-life impacts for 5- and 7-day LVDS, and 5- and 7-day PR units under three different scenarios: (1) 100% LVDS, (2) 100% PR, and (3) mix of 50% LVDS - and 50% PR. RESULTS Total annual costs from the hospital perspective were highest for 100% LVDS platelets (US$2.325M) and lowest for 100% PR-7 units (US$2.170M). Net budget impact after offsetting annual costs by outpatient reimbursements was 5.5% lower for 5-day PR platelets as compared to 5-day LVDS (US$1.663 vs. US$1.760M). A mix of 7-day LVDS and 5-day PR platelets had net annual costs that were 1.3% lower than for 100% 7-day LVDS, but 1.3% higher than for 100% 5-day PR. 7-day PR platelets had the longest shelf life (4.63 days), while 5-day LVDS had the shortest (2.00 days). DISCUSSION The model identifies opportunities to minimize transfusion center costs for 5- and 7-day platelets. Budget impact models such as this are important for understanding the financial implications of evolving FDA guidance and new platelet technologies.
Collapse
Affiliation(s)
- Katherine M Prioli
- Center for Health Outcomes, Policy and Economics, Rutgers University, Piscataway, New Jersey, USA
| | - Ilze Abersone
- Center for Health Outcomes, Policy and Economics, Rutgers University, Piscataway, New Jersey, USA
| | - Patricia M Kopko
- Division of Transfusion Medicine, University of California San Diego, San Diego, California, USA
| | - Jay H Herman
- Division of Transfusion Medicine, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Laura T Pizzi
- Center for Health Outcomes, Policy and Economics, Rutgers University, Piscataway, New Jersey, USA
| |
Collapse
|
34
|
Liggett LA, Cato LD, Weinstock JS, Zhang Y, Nouraie SM, Gladwin MT, Garrett ME, Ashley-Koch A, Telen M, Custer B, Kelly S, Dinardo C, Sabino EC, Loureiro P, Carneiro-Proietti A, Maximo C, Reiner AP, Abecasis GR, Williams DA, Natarajan P, Bick AG, Sankaran VG. Clonal hematopoiesis in sickle cell disease. J Clin Invest 2022; 132:156060. [PMID: 34990411 PMCID: PMC8843701 DOI: 10.1172/jci156060] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [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: 10/21/2021] [Accepted: 01/04/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Curative gene therapies for sickle cell disease (SCD) are currently undergoing clinical evaluation. The occurrence of myeloid malignancies in these trials has prompted safety concerns. Individuals with SCD are predisposed to myeloid malignancies, but the underlying causes remain undefined. Clonal hematopoiesis (CH) is a pre-malignant condition that also confers significant predisposition to myeloid cancers. While it has been speculated that CH may play a role in SCD-associated cancer predisposition, limited data addressing this issue have been reported. METHODS Here, we leveraged 74,190 whole genome sequences to robustly study CH in SCD. Somatic mutation calling methods were used to assess CH in all samples and comparisons between individuals with and without SCD were performed. RESULTS While we had sufficient power to detect a greater than 2-fold increased rate of CH, we found no detectable variation in rate or clone properties between individuals affected by SCD and controls. The rate of CH in individuals with SCD was unaltered by hydroxyurea use. CONCLUSIONS We did not observe an increased risk for acquiring detectable CH in SCD, at least as measured by whole genome sequencing. These results should help guide ongoing efforts and further studies that seek to better define the risk factors underlying myeloid malignancy predisposition in SCD and help ensure that curative therapies can be more safely applied. FUNDING Funding was provided by the New York Stem Cell Foundation and National Institutes of Health. The funders had no role in study design or reporting.
Collapse
Affiliation(s)
- L Alexander Liggett
- Division of Hematology and Oncology, Boston Children's Hospital, Boston, United States of America
| | - Liam D Cato
- Department of Human Genetics, Broad Institute of MIT and Harvard, Cambridge, United States of America
| | - Joshua S Weinstock
- Department of Biostatistics, University of Michigan, Ann Arbor, United States of America
| | - Yingze Zhang
- Department of Medicine, University of Pittsburgh, Pittsburgh, United States of America
| | - S Mehdi Nouraie
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, United States of America
| | - Mark T Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, United States of America
| | - Melanie E Garrett
- Department of Medicine, Duke University Medical Center, Durham, United States of America
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, United States of America
| | - Marilyn Telen
- Department of Medicine, Duke University Medical Center, Durham, United States of America
| | - Brian Custer
- Department of Epidemiology and Policy Science, Vitalant Research Institute, San Francisco, United States of America
| | - Shannon Kelly
- Division of Pediatric Hematology, UCSF Benioff Children's Hospital, Oakland, United States of America
| | - Carla Dinardo
- Department of Immunohematology, Fundação Pró-Sangue Hemocentro de São Paulo, Sao Paulo, Brazil
| | - Ester C Sabino
- Institute of Tropical Medicine, Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo, Brazil, Sao Paulo, Brazil
| | - Paula Loureiro
- Pernambuco State Center of Hematology and Hemotherapy, Fundação Hemope, Recife, Brazil
| | | | | | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, United States of America
| | - Gonçalo R Abecasis
- Department of Biostatistics, University of Michigan, Ann Arbor, United States of America
| | - David A Williams
- Division of Hematology and Oncology, Boston Children's Hospital, Boston, United States of America
| | - Pradeep Natarajan
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, United States of America
| | - Alexander G Bick
- Department of Medicine, Vanderbilt University Medical Center, Nashville, United States of America
| | - Vijay G Sankaran
- Division of Hematology and Oncology, Boston Children's Hospital, Boston, United States of America
| |
Collapse
|
35
|
Saeed S, Uzicanin S, Lewin A, Lieshout-Krikke R, Faddy H, Erikstrup C, Osiowy C, Seed CR, Steele WR, Davison K, Custer B, O'Brien SF. Current challenges of severe acute respiratory syndrome coronavirus 2 seroprevalence studies among blood donors: A scoping review. Vox Sang 2021; 117:476-487. [PMID: 34862614 DOI: 10.1111/vox.13221] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [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: 05/31/2021] [Revised: 08/04/2021] [Accepted: 09/23/2021] [Indexed: 01/27/2023]
Abstract
BACKGROUND AND OBJECTIVES Blood donors are increasingly being recognized as an informative resource for surveillance. We aimed to review severe acute respiratory syndrome coronavirus 2 seroprevalence studies conducted among blood donors to investigate methodological biases and provide guidance for future research. MATERIALS AND METHODS We conducted a scoping review of peer-reviewed and preprint publications between January 2020 and January 2021. Two reviewers used standardized forms to extract seroprevalence estimates and data on methodology pertaining to population sampling, periodicity, assay characteristics, and antibody kinetics. National data on cumulative incidence and social distancing policies were extracted from publicly available sources and summarized. RESULTS Thirty-three studies representing 1,323,307 blood donations from 20 countries worldwide were included (sample sizes ranged from 22 to 953,926 donations). The majority of the studies (79%) reported seroprevalence rates <10% (ranging from 0% to 76% [after adjusting for waning antibodies]). Overall, less than 1 in 5 studies reported standardized seroprevalence rates to reflect the demographics of the general population. Stratification by age and sex were most common (64% of studies), followed by region (48%). A total of 52% of studies reported seroprevalence at a single time point. Overall, 27 unique assay combinations were identified, 55% of studies used a single assay and only 39% adjusted seroprevalence rates for imperfect test characteristics. Among the nationally representative studies, case detection was most underrepresented in Kenya (1:1264). CONCLUSION By the end of 2020, seroprevalence rates were far from reaching herd immunity. In addition to differences in community transmission and diverse public health policies, study designs and methodology were likely contributing factors to seroprevalence heterogeneity.
Collapse
Affiliation(s)
- Sahar Saeed
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Samra Uzicanin
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Antoine Lewin
- Surveillance and Biological Risk Assessment, Héma-Québec, Montreal, Québec, Canada
| | - Ryanne Lieshout-Krikke
- Department of Medical Affairs, Sanquin Blood Supply Foundation, Amsterdam, The Netherlands
| | - Helen Faddy
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Petrie, Queensland, Australia
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Carla Osiowy
- National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada
| | - Clive R Seed
- Donor and Product Safety Policy Unit, Australian Red Cross Lifeblood, Perth, Western Australia, Australia
| | - Whitney R Steele
- Epidemiology and Surveillance Group, Scientific Affairs, American Red Cross, Rockville, Maryland, USA
| | - Katy Davison
- NHS Blood and Transplant/Public Health England Epidemiology Unit, London, UK
| | - Brian Custer
- Research and Scientific Programs, Vitalant, San Francisco, California, USA
| | - Sheila F O'Brien
- Epidemiology and Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
| | | |
Collapse
|
36
|
Roubinian NH, Reese SE, Qiao H, Plimier C, Fang F, Page GP, Cable RG, Custer B, Gladwin MT, Goel R, Harris B, Hendrickson JE, Kanias T, Kleinman S, Mast AE, Sloan SR, Spencer BR, Spitalnik SL, Busch MP, Hod EA. Donor genetic and non-genetic factors affecting red blood cell transfusion effectiveness. JCI Insight 2021; 7:152598. [PMID: 34793330 PMCID: PMC8765041 DOI: 10.1172/jci.insight.152598] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [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: 06/25/2021] [Accepted: 11/17/2021] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Red blood cell (RBC) transfusion effectiveness varies due to donor, component, and recipient factors. Prior studies identified characteristics associated with variation in hemoglobin increments following transfusion. We extended these observations, examining donor genetic and non-genetic factors affecting transfusion effectiveness. METHODS This is a multicenter retrospective study of 46,705 patients, and 102,043 evaluable RBC transfusions from 2013-2016 across 12 hospitals. Transfusion effectiveness was defined as hemoglobin, bilirubin, or creatinine increments following single RBC unit transfusion. Models incorporated a subset of donors with data on single nucleotide polymorphisms associated with osmotic and oxidative hemolysis in vitro. Mixed modelling accounting for repeated transfusion episodes identified predictors of transfusion effectiveness. RESULTS Blood donor (sex, Rh status, fingerstick hemoglobin, smoking), component (storage duration, gamma irradiation, leukoreduction, apheresis collection, storage solution), and recipient (sex, body mass index, race, age) characteristics were associated with hemoglobin and bilirubin but not creatinine increments following RBC transfusions. Increased storage duration was associated with increased bilirubin and decreased hemoglobin increments, suggestive of in vivo hemolysis following transfusion. Donor G6PD-deficiency and polymorphisms in SEC14L4, HBA2, and MYO9B genes were associated with decreased hemoglobin increments. Donor G6PD-deficiency and polymorphisms in SEC14L4 were associated with increased transfusion requirements in the subsequent 48 hours. CONCLUSIONS Donor genetic and other factors, such as RBC storage duration, affect transfusion effectiveness as defined by decreased hemoglobin or increased bilirubin increments. Addressing these factors will provide a precision medicine approach to improve patient outcomes, particularly for chronically-transfused RBC recipients, who would most benefit from more effective transfusion products.
Collapse
Affiliation(s)
- Nareg H Roubinian
- Division of Research, Kaiser Permanente of Northern California, Oakland, United States of America
| | - Sarah E Reese
- Genetic Epidemiology, Westat, Silver Spring, United States of America
| | - Hannah Qiao
- Analyst, Westat, Silver Springs, United States of America
| | - Colleen Plimier
- Division of Research, Kaiser Permanente of Northern California, Oakland, United States of America
| | - Fang Fang
- Division of Biostatistics and Epidemiology, RTI International, Durham, United States of America
| | - Grier P Page
- Division of Biostatistics and Epidemiology, RTI International, Durham, United States of America
| | | | - Brian Custer
- Department of Epidemiology, Vitalant Research Institute, San Francisco, United States of America
| | - Mark T Gladwin
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, United States of America
| | - Ruchika Goel
- Department of Medicine, Southern Illinois University School of Medicine, Springfield, United States of America
| | - Bob Harris
- Westat, Rockville, United States of America
| | - Jeanne E Hendrickson
- Department of Laboratory Medicine, Yale University, New Haven, United States of America
| | - Tamir Kanias
- Vitalant Research Institute, Denver, United States of America
| | - Steve Kleinman
- Department of Pathology and Laboratory Medicine, University of British Columbia, Victoria, Canada
| | - Alan E Mast
- Department of Thrombosis, Hemostasis, and Vascular Biology, Versiti Blood Research Insitute, Milwaukee, United States of America
| | - Steven R Sloan
- Department of Pathology, Children's Hospital Boston, Harvard Medical School, Boston, United States of America
| | | | - Steven L Spitalnik
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, United States of America
| | - Michael P Busch
- Department of Medicine, Vitalant Research Institute, San Francisco, United States of America
| | - Eldad A Hod
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, United States of America
| |
Collapse
|
37
|
Russell WA, Scheinker D, Custer B. Individualized risk trajectories for iron-related adverse outcomes in repeat blood donors. Transfusion 2021; 62:116-124. [PMID: 34783364 DOI: 10.1111/trf.16740] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 09/03/2021] [Revised: 11/01/2021] [Accepted: 11/01/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND Despite a fingerstick hemoglobin requirement and 56-day minimum donation interval, repeat blood donation continues to cause and exacerbate iron deficiency. STUDY DESIGN AND METHODS Using data from the REDS-II Donor Iron Status Evaluation study, we developed multiclass prediction models to estimate the competing risk of hemoglobin deferral and collecting blood from a donor with sufficient hemoglobin but low or absent underlying iron stores. We compared models developed with and without two biomarkers not routinely measured in most blood centers: ferritin and soluble transferrin receptor. We generated and analyzed "individual risk trajectories": estimates of how each donors' risk developed as a function of the time interval until their next donation attempt. RESULTS With standard biomarkers, the top model had a multiclass area under the receiver operator characteristic curve (AUC) of 77.6% (95% CI [77.3%-77.8%]). With extra biomarkers, multiclass AUC increased to 82.8% (95% CI [82.5%-83.1%]). In the extra biomarkers model, ferritin was the single most important variable, followed by the donation interval. We identified three risk archetypes: "fast recoverers" (<10% risk of any adverse outcome on post-donation day 56), "slow recoverers" (>60% adverse outcome risk on day 56 that declines to <35% by day 250), and "chronic high-risk" (>85% risk of the adverse outcome on day 250). DISCUSSION A longer donation interval reduced the estimated risk of iron-related adverse outcomesfor most donors, but risk remained high for some. Tailoring safeguards to individual risk estimates could reduce blood collections from donors with low or absent iron stores.
Collapse
Affiliation(s)
- W Alton Russell
- Department of Management Science and Engineering, Stanford University, Stanford, California, USA.,Epidemiology and Health Policy Science, Vitalant Research Institute, San Francisco, California, USA
| | - David Scheinker
- Department of Management Science and Engineering, Stanford University, Stanford, California, USA.,Systems Design and Collaborative Research, Lucile Packard Children's Hospital Stanford, Palo Alto, California, USA.,Pediatric Endocrinology, Stanford School of Medicine, Palo Alto, California, USA.,Clinical Excellence Research Center, Stanford School of Medicine, Palo Alto, California, USA
| | - Brian Custer
- Epidemiology and Health Policy Science, Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, California, USA
| |
Collapse
|
38
|
Russell WA, Owusu-Ofori S, Owusu-Ofori A, Micah E, Norman B, Custer B. Cost-effectiveness and budget impact of whole blood pathogen reduction in Ghana. Transfusion 2021; 61:3402-3412. [PMID: 34651313 DOI: 10.1111/trf.16704] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 09/26/2021] [Accepted: 09/26/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Despite the promise of pathogen reduction for reducing transfusion-associated adverse events in sub-Saharan Africa, no health-economic assessment is publicly available. STUDY DESIGN AND METHODS We developed a mathematical risk reduction model to estimate the impact of nationwide whole blood pathogen reduction in Ghana on the incidence of six infectious and one non-infectious transfusion-associated adverse events. We estimated the lifetime direct healthcare costs and disability-adjusted life years lost for each adverse event. For HIV, HCV, and HBV, we simulated disease progression using Markov models, accounting for the likelihood and timing of clinical detection and treatment. We performed probabilistic and univariate sensitivity analysis. RESULTS Adding whole blood pathogen reduction to Ghana's blood safety portfolio would avert an estimated 19,898 (11,948-27,353) adverse events and 38,491 (16,444-67,118) disability-adjusted life years annually, primarily by averting sepsis (49%) and malaria (31%) infections. One year of pathogen reduction would cost an estimated $8,037,191 ($6,381,946-$9,880,760) and eliminate $8,656,389 ($4,462,614-$13,469,448) in direct healthcare spending on transfusion-associated adverse events. We estimate a 58% probability that the addition of pathogen reduction would reduce overall direct healthcare spending. Findings were most sensitive to uncertainty in the probability that a bacterially contaminated blood donation causes sepsis. CONCLUSION Whole blood pathogen reduction would substantially reduce the burden of known transfusion-associated adverse events in Ghana and may reduce overall healthcare spending. Additional benefits not captured by this analysis may include averting secondary transmission of infectious diseases, reducing non-medical costs, and averting new or re-emerging transfusion-transmitted infections.
Collapse
Affiliation(s)
- W Alton Russell
- Department of Management Science and Engineering, Stanford University, Stanford, California, USA.,Vitalant Research Institute, San Francisco, California, USA.,MGH Institute for Technology Assessment, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Alex Owusu-Ofori
- Laboratory Services Directorate, Komfo-Anokye Teaching Hospital, Kumasi, Ghana.,Department of Clinical Microbiology, Nkrumah University of Science and Technology, Kumasi, Ghana
| | - Eileen Micah
- Department of Medicine, Komfo-Anokye Teaching Hospital, Kumasi, Ghana
| | - Betty Norman
- Department of Medicine, Komfo-Anokye Teaching Hospital, Kumasi, Ghana
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California, San Francisco, California, USA
| |
Collapse
|
39
|
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.
Collapse
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
| | | | | | | |
Collapse
|
40
|
Pederzoli PRMP, Costa LA, Martins MC, Cruz NG, Andrade RK, Libânio MRIS, Prata KL, Custer B, Belisário AR. CARACTERÍSTICAS ASSOCIADAS AO SUCESSO NA MOBILIZAÇÃO EM CANDIDATOS AO TRANSPLANTE DE MEDULA ÓSSEA DO ESTADO DE MINAS GERAIS. Hematol Transfus Cell Ther 2021. [DOI: 10.1016/j.htct.2021.10.426] [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] Open
|
41
|
Belisário AR, Silva ACSE, Moura ICG, Carneiro-Proietti AB, Sabino EC, Loureiro P, Máximo C, Flor-Park MV, Rodrigues DOW, Ozahata MC, Mota RA, Dinardo CL, Kelly S, Custer B. CHRONIC KIDNEY DISEASE IN BRAZILIAN ADULTS WITH SICKLE CELL DISEASE: RESULTS FROM THE REDS-III MULTICENTER COHORT STUDY. Hematol Transfus Cell Ther 2021. [DOI: 10.1016/j.htct.2021.10.033] [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] Open
|
42
|
Aubé E, Lewin A, O'Brien SF, Grégoire Y, Pillonel J, Steele WR, Custer B, Davison KL, Germain M, Seed CR, Camirand Lemyre F. HIV residual risk in Canada for apheresis source plasma donation without deferral for men who have sex with men. Vox Sang 2021; 117:201-207. [PMID: 34268781 DOI: 10.1111/vox.13176] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [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: 03/10/2021] [Revised: 06/16/2021] [Accepted: 06/16/2021] [Indexed: 12/29/2022]
Abstract
BACKGROUND AND OBJECTIVES In Canada, men having sex with men (MSM) are deferred for 3 months from last sexual contact to reduce human immunodeficiency virus (HIV) risk to recipients. The aim of this paper was to model the Canadian residual risk of HIV-positive source plasma incorporating pathogen inactivation (PI) under no MSM deferral scenarios for apheresis plasma donations. MATERIALS AND METHODS A combined Bayesian network (BN) and Monte Carlo approach were implemented to estimate the HIV residual risk under 3-month deferral compared with no deferral without quarantine scenarios for MSM donors. Models involve the stochastic generation of donation and its infection status based on its corresponding simulated donor profile. Viral load reduction conferred by PI used by source plasma fractionators was simulated. Model parameters were derived from Héma-Québec and Canadian Blood Services data, viral loads in a large sample of HIV-positive US blood donors, CSL Behring documentation and from published data. RESULTS In the most likely scenario for the 3-month deferral model, there were 2.71 positive donations per 1,000,000 donations (95% confidence interval [CI] 2.63-2.78). For the no-deferral model, there were 3.01 positive donations per 1,000,000 donations (95% CI 2.94-3.09). For both scenarios, the risk of having an infectious pool was 0 in 300,000 pools (95% CI 0-0.0000123) after consideration of PI. CONCLUSION Based on simulation results, there would be a negligible HIV residual risk associated with the removal of a time-based MSM deferral without quarantine for source plasma incorporating PI.
Collapse
Affiliation(s)
- Eliana Aubé
- Department of Mathematics, Université de Sherbrooke, Sherbrooke, Quebec, Canada.,Medical Affairs and Innovation, Héma-Québec, Montreal, Quebec, Canada
| | - Antoine Lewin
- Medical Affairs and Innovation, Héma-Québec, Montreal, Quebec, Canada.,Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, Quebec, Canada
| | - Sheila F O'Brien
- Epidemiology & Surveillance, Canadian Blood Services, Ottawa, Ontario, Canada
| | - Yves Grégoire
- Medical Affairs and Innovation, Héma-Québec, Quebec City, Quebec, Canada
| | - Josiane Pillonel
- Direction des Maladies Infectieuses, Santé Publique France, St. Maurice, France
| | - Whitney R Steele
- Scientific Affairs, American Red Cross, Rockville, Maryland, USA
| | - Brian Custer
- Epidemiology and Health Policy Science, Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| | - Katy L Davison
- Immunisation, Hepatitis & Blood Safety, Health Protection Agency, London, UK
| | - Marc Germain
- Medical Affairs and Innovation, Héma-Québec, Quebec City, Quebec, Canada
| | - Clive R Seed
- Donor and Product Safety (DAPS) Policy Unit, Australian Red Cross Lifeblood, Perth, Western Australia, Australia
| | - Félix Camirand Lemyre
- Department of Mathematics, Université de Sherbrooke, Sherbrooke, Quebec, Canada.,Centre de recherche, Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, Quebec, Canada
| | | |
Collapse
|
43
|
Lewin A, Drews SJ, Lieshout-Krikke R, Erikstrup C, Saeed S, Fady H, Uzicanin S, Custer B, O'Brien SF. An international comparison of anti-SARS-COV-2 assays used for seroprevalence surveys from blood component providers. Vox Sang 2021; 116:946-954. [PMID: 33914918 PMCID: PMC8242559 DOI: 10.1111/vox.13100] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [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: 01/22/2021] [Revised: 02/25/2021] [Accepted: 02/28/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND OBJECTIVES Access to large pools of healthy adult donors advantageously positions blood component providers to undertake anti-SARS-CoV-2 seroprevalence studies. While numerous seroprevalence reports have been published by blood operators during the COVID-19 pandemic, details on the assay used has not been well documented. The objectives of this study were to evaluate the diversity of assays being used by blood operators and assess how this may affect seroprevalence estimates. MATERIALS AND METHODS We surveyed 49 blood component providers from 39 countries. Questionnaire included information on the number and identity of assays used, the detected immunoglobulin(s) and target antigen, and performance characteristics (sensitivity, specificity). RESULTS Thirty-eight of the 49 contacted blood suppliers provided at least partial responses. The results indicate that 19 commercial and five in-house serology assays have been used by surveyed blood operators. The Abbott SARS-CoV-2 IgG assay was the most commonly used kit and utilized by 15 blood suppliers. Two assays did not detect IgG, but detected either IgM/IgA or IgM. 68·2% of assays targeted the spike protein and 50% the nucleocapsid protein, while 18·2% targeted both viral proteins. The sensitivity and specificity of IgG-specific assays ranged from 71·9% to 100% and from 96·2% to 100%, respectively. As of 18 October 2020, the seroprevalence was below 5% in 10 of 14 countries reporting. CONCLUSION Our results highlight the diversity of assays being used. Analyses comparing blood donor seroprevalence across countries should consider assay characteristics with optimization of signal/cut-off ratios and consistent methodology to adjust for waning antibody.
Collapse
Affiliation(s)
- Antoine Lewin
- Medical Affairs & Innovation, Héma-Québec, Montreal, QC, Canada
| | - Steven J Drews
- Microbiology, Canadian Blood Services, Edmonton, AB, Canada
| | | | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Sahar Saeed
- Epidemiology & Surveillance, Canadian Blood Services, Ottawa, ON, Canada
| | - Helen Fady
- School of Health and Behavioural Sciences, University of the Sunshine Coast, Petrie, QLD, Australia
| | - Samra Uzicanin
- Epidemiology & Surveillance, Canadian Blood Services, Ottawa, ON, Canada
| | - Brian Custer
- Research & Scientific Programs, Vitalant, San Francisco, CA, USA
| | - Sheila F O'Brien
- Epidemiology & Surveillance, Canadian Blood Services, Ottawa, ON, Canada
| | | |
Collapse
|
44
|
Bick AG, Weinstock JS, Nandakumar SK, Fulco CP, Bao EL, Zekavat SM, Szeto MD, Liao X, Leventhal MJ, Nasser J, Chang K, Laurie C, Burugula BB, Gibson CJ, Niroula A, Lin AE, Taub MA, Aguet F, Ardlie K, Mitchell BD, Barnes KC, Moscati A, Fornage M, Redline S, Psaty BM, Silverman EK, Weiss ST, Palmer ND, Vasan RS, Burchard EG, Kardia SLR, He J, Kaplan RC, Smith NL, Arnett DK, Schwartz DA, Correa A, de Andrade M, Guo X, Konkle BA, Custer B, Peralta JM, Gui H, Meyers DA, McGarvey ST, Chen IYD, Shoemaker MB, Peyser PA, Broome JG, Gogarten SM, Wang FF, Wong Q, Montasser ME, Daya M, Kenny EE, North KE, Launer LJ, Cade BE, Bis JC, Cho MH, Lasky-Su J, Bowden DW, Cupples LA, Mak ACY, Becker LC, Smith JA, Kelly TN, Aslibekyan S, Heckbert SR, Tiwari HK, Yang IV, Heit JA, Lubitz SA, Johnsen JM, Curran JE, Wenzel SE, Weeks DE, Rao DC, Darbar D, Moon JY, Tracy RP, Buth EJ, Rafaels N, Loos RJF, Durda P, Liu Y, Hou L, Lee J, Kachroo P, Freedman BI, Levy D, Bielak LF, Hixson JE, Floyd JS, Whitsel EA, Ellinor PT, Irvin MR, Fingerlin TE, Raffield LM, Armasu SM, Wheeler MM, Sabino EC, Blangero J, Williams LK, Levy BD, Sheu WHH, Roden DM, Boerwinkle E, Manson JE, Mathias RA, Desai P, Taylor KD, Johnson AD, Auer PL, Kooperberg C, Laurie CC, Blackwell TW, Smith AV, Zhao H, Lange E, Lange L, Rich SS, Rotter JI, Wilson JG, Scheet P, Kitzman JO, Lander ES, Engreitz JM, Ebert BL, Reiner AP, Jaiswal S, Abecasis G, Sankaran VG, Kathiresan S, Natarajan P. Author Correction: Inherited causes of clonal haematopoiesis in 97,691 whole genomes. Nature 2021; 591:E27. [PMID: 33707633 DOI: 10.1038/s41586-021-03280-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Affiliation(s)
- Alexander G Bick
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA.,Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Harvard Medical School, Boston, MA, USA.,Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Joshua S Weinstock
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Satish K Nandakumar
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Charles P Fulco
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA
| | - Erik L Bao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.,Health Sciences and Technology Program, Harvard Medical School, Boston, MA, USA
| | - Seyedeh M Zekavat
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Yale School of Medicine, New Haven, CT, USA
| | - Mindy D Szeto
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Medical Scientist Training Program, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Xiaotian Liao
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | | | - Joseph Nasser
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Kyle Chang
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Cecelia Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | | | - Abhishek Niroula
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Amy E Lin
- Division of Cardiovascular Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | | | | | - Braxton D Mitchell
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.,Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.,Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Arden Moscati
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Myriam Fornage
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan Redline
- Harvard Medical School, Boston, MA, USA.,Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.,Department of Epidemiology, University of Washington, Seattle, WA, USA.,Department of Health Services, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Edwin K Silverman
- Harvard Medical School, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Scott T Weiss
- Harvard Medical School, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Ramachandran S Vasan
- Departments of Medicine and Epidemiology, Boston University School of Medicine, Boston, MA, USA
| | - Esteban G Burchard
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA.,Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, USA
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jiang He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.,Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA.,Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, Seattle, WA, USA
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA.,Seattle Epidemiologic Information and Research Center, Department of Veterans Affairs, Office of Research and Development, Seattle, WA, USA
| | - Donna K Arnett
- College of Public Health, University of Kentucky, Lexington, KY, USA
| | | | - Adolfo Correa
- Departments of Medicine and Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Mariza de Andrade
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN, USA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences, Department of Pediatrics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Barbara A Konkle
- Bloodworks Northwest, Seattle, WA, USA.,Department of Medicine, University of Washington, Seattle, WA, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA.,Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Juan M Peralta
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Hongsheng Gui
- Center for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Deborah A Meyers
- Division of Genetics, Genomics and Precision Medicine, University of Arizona, Tucson, AZ, USA
| | - Stephen T McGarvey
- Department of Epidemiology and International Health Institute, Brown University School of Public Health, Providence, RI, USA
| | - Ida Yii-Der Chen
- Medical Genetics, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - M Benjamin Shoemaker
- Division of Cardiology, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Jai G Broome
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Fei Fei Wang
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - May E Montasser
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Eimear E Kenny
- Institute for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Lenore J Launer
- Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, MD, USA
| | - Brian E Cade
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Joshua C Bis
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | - Michael H Cho
- Harvard Medical School, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Jessica Lasky-Su
- Harvard Medical School, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - L Adrienne Cupples
- Departments of Biostatistics and Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Angel C Y Mak
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Lewis C Becker
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA.,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Tanika N Kelly
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.,Tulane University Translational Science Institute, New Orleans, LA, USA
| | - Stella Aslibekyan
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Hemant K Tiwari
- Department of Biostatistics, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ivana V Yang
- Department of Medicine, University of Colorado, Aurora, CO, USA
| | - John A Heit
- Division of Cardiovascular Diseases, Mayo Clinic, Rochester, MN, USA
| | - Steven A Lubitz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Harvard Medical School, Boston, MA, USA.,Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Jill M Johnsen
- Bloodworks Northwest, Seattle, WA, USA.,Department of Medicine, University of Washington, Seattle, WA, USA
| | - Joanne E Curran
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Sally E Wenzel
- Department of Environmental and Occupational Health, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel E Weeks
- Departments of Human Genetics and Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Dabeeru C Rao
- Division of Biostatistics, Washington University School of Medicine, St Louis, MO, USA
| | - Dawood Darbar
- Division of Cardiology, University of Illinois at Chicago, Chicago, IL, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
| | - Russell P Tracy
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Erin J Buth
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Nicholas Rafaels
- Colorado Center for Personalized Medicine, School of Medicine, University of Colorado, Aurora, CO, USA
| | - Ruth J F Loos
- Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.,Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter Durda
- Department of Pathology and Laboratory Medicine, Larner College of Medicine, University of Vermont, Burlington, VT, USA
| | - Yongmei Liu
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Jiwon Lee
- Division of Sleep and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Priyadarshini Kachroo
- Harvard Medical School, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Daniel Levy
- Framingham Heart Study, Framingham, MA, USA.,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - James E Hixson
- Department of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston School of Public Health, Houston, TX, USA
| | - James S Floyd
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.,Department of Epidemiology, University of Washington, Seattle, WA, USA.,Department of Medicine, University of Washington, Seattle, WA, USA
| | - Eric A Whitsel
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.,Department of Medicine, School of Medicine, University of North Carolina, Chapel Hill, NC, USA
| | - Patrick T Ellinor
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Harvard Medical School, Boston, MA, USA.,Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Tasha E Fingerlin
- Center for Genes Environment and Health, National Jewish Health, Denver, CO, USA
| | - Laura M Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
| | | | - Marsha M Wheeler
- Department of Genome Science, University of Washington, Seattle, WA, USA
| | - Ester C Sabino
- Instituto de Medicina Tropical, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - John Blangero
- Department of Human Genetics and South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - L Keoki Williams
- Center for Individualized and Genomic Medicine Research, Department of Internal Medicine, Henry Ford Health System, Detroit, MI, USA
| | - Bruce D Levy
- Harvard Medical School, Boston, MA, USA.,Division of Pulmonary and Critical Care Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Wayne Huey-Herng Sheu
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Taichung Veterans General Hospital, Taichung, Taiwan
| | - Dan M Roden
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Pharmacology, Vanderbilt University Medical Center, Nashville, TN, USA.,Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Eric Boerwinkle
- Human Genetics Center, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.,Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - JoAnn E Manson
- Harvard Medical School, Boston, MA, USA.,Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.,Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA
| | - Rasika A Mathias
- GeneSTAR Research Program, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Pinkal Desai
- Department of Medicine, Weill Cornell Medical School, New York, NY, USA
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA.,Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Andrew D Johnson
- Framingham Heart Study, Framingham, MA, USA.,Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Paul L Auer
- Joseph J. Zilber School of Public Health, University of WisconsinMilwaukee, Milwaukee, WI, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Thomas W Blackwell
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Albert V Smith
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Hongyu Zhao
- Department of Biostatistics, School of Public Health, Yale University, New Haven, CT, USA.,Computational Biology and Bioinformatics Program, Yale University, New Haven, CT, USA
| | - Ethan Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Leslie Lange
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Stephen S Rich
- Department of Public Health Sciences, Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA.,Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA.,Department of Cardiology, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Paul Scheet
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Jacob O Kitzman
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA.,Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Eric S Lander
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Department of Systems Biology, Harvard Medical School, Boston, MA, USA.,Department of Biology, MIT, Cambridge, MA, USA
| | - Jesse M Engreitz
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Harvard Society of Fellows, Harvard University, Cambridge, MA, USA
| | - Benjamin L Ebert
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Harvard Medical School, Boston, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.,Howard Hughes Medical Institute, Boston, MA, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA.,Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Siddhartha Jaiswal
- Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA
| | - Gonçalo Abecasis
- Center for Statistical Genetics, Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.,Regeneron Pharmaceuticals, Tarrytown, NY, USA
| | - Vijay G Sankaran
- Broad Institute of MIT and Harvard, Cambridge, MA, USA.,Harvard Medical School, Boston, MA, USA.,Division of Hematology/Oncology, Boston Children's Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Sekar Kathiresan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Harvard Medical School, Boston, MA, USA. .,Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA. .,Verve Therapeutics, Cambridge, MA, USA.
| | - Pradeep Natarajan
- Broad Institute of MIT and Harvard, Cambridge, MA, USA. .,Harvard Medical School, Boston, MA, USA. .,Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.
| |
Collapse
|
45
|
Moreira CHV, Salomon T, Alencar CS, Gonçalez TT, Sabino EC, Preiss L, Loureiro P, Lopes ME, Teixeira CM, Mundim M, Carneiro-Proietti AB, de Almeida-Neto C, Custer B. HIV primary drug resistance and associated HIV risk factors among HIV positive blood donors in Brazil from 2007 to 2017. Transfus Med 2021; 31:104-112. [PMID: 33665900 DOI: 10.1111/tme.12766] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Revised: 02/12/2021] [Accepted: 02/16/2021] [Indexed: 10/22/2022]
Abstract
BACKGROUND Acquisition of HIV primary drug resistant (PDR) infection can lead to poor virologic and clinical outcomes in individuals and hampers public health efforts in epidemic control. Monitoring PDR in HIV-positive blood donors can be used to inform nationwide trends in the spread of drug-resistant HIV strains. METHODS We conducted a cross-sectional study using genetic sequence analysis to assess HIV pol sequences, PDR, and risk factors for infection using audio computer-assisted structured interviews in four large blood centers in Brazil from 2007 to 2017. RESULTS Of 716 HIV-positive blood donors, 504 (70.4%) were successfully sequenced. HIV clade B (73.2%) was the most prevalent subtype, followed by a mix of non-B (21.2%) sub-types. A twofold increase (from 4% to 8%) in recombinants prevalence was observed during the study period. Sixty-four (12.7%) presented PDR. Overall, HIV PDR prevalence remained stable during the study period. Drug resistance mutations for non-nucleoside reverse transcriptase inhibitors were found in 39 (7.7%) donors, while for nucleoside reverse transcriptase inhibitors were found in 26 (5.1%), and for protease inhibitors in 24 (4.8%) of HIV-infected donors. We did not find statistically significant differences in demographics, behavioural risk factors, or HIV genotypes when comparing volunteers with and without PDR. CONCLUSION The HIV PDR rate among donors remained stable during the study period. HIV-positive blood donors can be an informative population to monitor primary HIV resistance and ultimately may help to increase the knowledge and awareness of HIV risk factors and PDR.
Collapse
Affiliation(s)
- Carlos Henrique Valente Moreira
- Instituto de Infectologia "Emílio Ribas", São Paulo, Brazil.,Instituto de Medicina Tropical de São Paulo, Faculdade de Medicina (FMUSP) da Universidade de São Paulo, São Paulo, Brazil
| | - Tassila Salomon
- Instituto de Medicina Tropical de São Paulo, Faculdade de Medicina (FMUSP) da Universidade de São Paulo, São Paulo, Brazil
| | - Cecília S Alencar
- Laboratório de Medicina Laboratorial LIM 03- HCFMUSP, São Paulo, Brazil
| | | | - Ester C Sabino
- Instituto de Medicina Tropical de São Paulo, Faculdade de Medicina (FMUSP) da Universidade de São Paulo, São Paulo, Brazil
| | - Liliana Preiss
- RTI - Research Triangle Institute, Durham, North Carolina, USA
| | | | | | | | | | | | - Cesar de Almeida-Neto
- Departamento de Aféreses, Fundação Pró-Sangue, Hemocentro de São Paulo, Sao Paulo, Brazil.,Disciplina de Ciências Médicas, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, UCSF, San Francisco, California, USA
| |
Collapse
|
46
|
Russell WA, Custer B, Brandeau ML. Optimal portfolios of blood safety interventions: test, defer or modify? Health Care Manag Sci 2021; 24:551-568. [PMID: 33666808 DOI: 10.1007/s10729-021-09557-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 08/23/2020] [Accepted: 02/09/2021] [Indexed: 01/13/2023]
Abstract
A safe supply of blood for transfusion is a critical component of the healthcare system in all countries. Most health systems manage the risk of transfusion-transmissible infections (TTIs) through a portfolio of blood safety interventions. These portfolios must be updated periodically to reflect shifting epidemiological conditions, emerging infectious diseases, and new technologies. However, the number of available blood safety portfolios grows exponentially with the number of available interventions, making it impossible for policymakers to evaluate all feasible portfolios without the assistance of a computer model. We develop a novel optimization model for evaluating blood safety portfolios that enables systematic comparison of all feasible portfolios of deferral, testing, and modification interventions to identify the portfolio that is preferred from a cost-utility perspective. We present structural properties that reduce the state space and required computation time in certain cases, and we develop a linear approximation of the model. We apply the model to retrospectively evaluate U.S. blood safety policies for Zika and West Nile virus for the years 2017, 2018, and 2019, defining donor groups based on season and geography. We leverage structural properties to efficiently find an optimal solution. We find that the optimal portfolio varies geographically, seasonally, and over time. Additionally, we show that for this problem the approximated model yields the same optimal solution as the exact model. Our method enables systematic identification of the optimal blood safety portfolio in any setting and any time period, thereby supporting decision makers in efforts to ensure the safety of the blood supply.
Collapse
Affiliation(s)
- W Alton Russell
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA. .,Vitalant Research Institute, San Francisco, CA, USA.
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA.,The University of California, San Francisco, San Francisco, CA, USA
| | - Margaret L Brandeau
- Department of Management Science and Engineering, Stanford University, Stanford, CA, USA
| |
Collapse
|
47
|
Russell WA, Grebe E, Custer B. Factors driving availability of COVID-19 convalescent plasma: Insights from a demand, production, and supply model. Transfusion 2021; 61:1370-1376. [PMID: 33590906 PMCID: PMC8013336 DOI: 10.1111/trf.16317] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [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: 10/25/2020] [Revised: 01/04/2021] [Accepted: 01/04/2021] [Indexed: 12/31/2022]
Abstract
Background COVID‐19 Convalescent Plasma (CCP) is a promising treatment for COVID‐19. Blood collectors have rapidly scaled up collection and distribution programs. Methods We developed a detailed simulation model of CCP donor recruitment, collection, production, and distribution processes. We ran our model using varying epidemic trajectories from 11 U.S. states and with key input parameters drawn from wide ranges of plausible values to identify key drivers of ability to scale collections capacity and meet demand for CCP. Results Utilization of available CCP collections capacity followed increases in COVID‐19 hospital discharges with a lag. Utilization never exceeded 75% of available capacity in most simulations. Demand was met for most of the simulation period in most simulations, but a substantial portion of demand went unmet during early, sharp increases in hospitalizations. For epidemic trajectories that included multiple epidemic peaks, second wave demand could generally be met due to stockpiles established during the decline from an earlier peak. Apheresis machine capacity (number of machines) and probability that COVID‐19 recovered individuals are willing to donate were the most important supply‐side drivers of ability to meet demand. Recruitment capacity was important in states with early peaks. Conclusions Epidemic trajectory was the most important determinant of ability to meet demand for CCP, although our simulations revealed several contributing operational drivers of CCP program success.
Collapse
Affiliation(s)
- W Alton Russell
- Vitalant Research Institute, San Francisco, California, USA.,Department of Management Science and Engineering, Stanford University, Stanford, California, USA
| | - Eduard Grebe
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA.,Department of Laboratory Medicine, University of California San Francisco, San Francisco, California, USA
| |
Collapse
|
48
|
Taliun D, Harris DN, Kessler MD, Carlson J, Szpiech ZA, Torres R, Taliun SAG, Corvelo A, Gogarten SM, Kang HM, Pitsillides AN, LeFaive J, Lee SB, Tian X, Browning BL, Das S, Emde AK, Clarke WE, Loesch DP, Shetty AC, Blackwell TW, Smith AV, Wong Q, Liu X, Conomos MP, Bobo DM, Aguet F, Albert C, Alonso A, Ardlie KG, Arking DE, Aslibekyan S, Auer PL, Barnard J, Barr RG, Barwick L, Becker LC, Beer RL, Benjamin EJ, Bielak LF, Blangero J, Boehnke M, Bowden DW, Brody JA, Burchard EG, Cade BE, Casella JF, Chalazan B, Chasman DI, Chen YDI, Cho MH, Choi SH, Chung MK, Clish CB, Correa A, Curran JE, Custer B, Darbar D, Daya M, de Andrade M, DeMeo DL, Dutcher SK, Ellinor PT, Emery LS, Eng C, Fatkin D, Fingerlin T, Forer L, Fornage M, Franceschini N, Fuchsberger C, Fullerton SM, Germer S, Gladwin MT, Gottlieb DJ, Guo X, Hall ME, He J, Heard-Costa NL, Heckbert SR, Irvin MR, Johnsen JM, Johnson AD, Kaplan R, Kardia SLR, Kelly T, Kelly S, Kenny EE, Kiel DP, Klemmer R, Konkle BA, Kooperberg C, Köttgen A, Lange LA, Lasky-Su J, Levy D, Lin X, Lin KH, Liu C, Loos RJF, Garman L, Gerszten R, Lubitz SA, Lunetta KL, Mak ACY, Manichaikul A, Manning AK, Mathias RA, McManus DD, McGarvey ST, Meigs JB, Meyers DA, Mikulla JL, Minear MA, Mitchell BD, Mohanty S, Montasser ME, Montgomery C, Morrison AC, Murabito JM, Natale A, Natarajan P, Nelson SC, North KE, O'Connell JR, Palmer ND, Pankratz N, Peloso GM, Peyser PA, Pleiness J, Post WS, Psaty BM, Rao DC, Redline S, Reiner AP, Roden D, Rotter JI, Ruczinski I, Sarnowski C, Schoenherr S, Schwartz DA, Seo JS, Seshadri S, Sheehan VA, Sheu WH, Shoemaker MB, Smith NL, Smith JA, Sotoodehnia N, Stilp AM, Tang W, Taylor KD, Telen M, Thornton TA, Tracy RP, Van Den Berg DJ, Vasan RS, Viaud-Martinez KA, Vrieze S, Weeks DE, Weir BS, Weiss ST, Weng LC, Willer CJ, Zhang Y, Zhao X, Arnett DK, Ashley-Koch AE, Barnes KC, Boerwinkle E, Gabriel S, Gibbs R, Rice KM, Rich SS, Silverman EK, Qasba P, Gan W, Papanicolaou GJ, Nickerson DA, Browning SR, Zody MC, Zöllner S, Wilson JG, Cupples LA, Laurie CC, Jaquish CE, Hernandez RD, O'Connor TD, Abecasis GR. Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program. Nature 2021; 590:290-299. [PMID: 33568819 PMCID: PMC7875770 DOI: 10.1038/s41586-021-03205-y] [Citation(s) in RCA: 801] [Impact Index Per Article: 267.0] [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] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 01/07/2021] [Indexed: 02/08/2023]
Abstract
The Trans-Omics for Precision Medicine (TOPMed) programme seeks to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases. The initial phases of the programme focused on whole-genome sequencing of individuals with rich phenotypic data and diverse backgrounds. Here we describe the TOPMed goals and design as well as the available resources and early insights obtained from the sequence data. The resources include a variant browser, a genotype imputation server, and genomic and phenotypic data that are available through dbGaP (Database of Genotypes and Phenotypes)1. In the first 53,831 TOPMed samples, we detected more than 400 million single-nucleotide and insertion or deletion variants after alignment with the reference genome. Additional previously undescribed variants were detected through assembly of unmapped reads and customized analysis in highly variable loci. Among the more than 400 million detected variants, 97% have frequencies of less than 1% and 46% are singletons that are present in only one individual (53% among unrelated individuals). These rare variants provide insights into mutational processes and recent human evolutionary history. The extensive catalogue of genetic variation in TOPMed studies provides unique opportunities for exploring the contributions of rare and noncoding sequence variants to phenotypic variation. Furthermore, combining TOPMed haplotypes with modern imputation methods improves the power and reach of genome-wide association studies to include variants down to a frequency of approximately 0.01%.
Collapse
Affiliation(s)
- Daniel Taliun
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Daniel N Harris
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Michael D Kessler
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Jedidiah Carlson
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Zachary A Szpiech
- Department of Biology, Pennsylvania State University, University Park, PA, USA
- Institute for Computational and Data Sciences, Pennsylvania State University, University Park, PA, USA
| | - Raul Torres
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Sarah A Gagliano Taliun
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | | | - Hyun Min Kang
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | - Jonathon LeFaive
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Seung-Been Lee
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Xiaowen Tian
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Brian L Browning
- Department of Medicine, Division of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Sayantan Das
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | | | | | - Douglas P Loesch
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Amol C Shetty
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Thomas W Blackwell
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Albert V Smith
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Quenna Wong
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Xiaoming Liu
- USF Genomics, College of Public Health, University of South Florida, Tampa, FL, USA
| | - Matthew P Conomos
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Dean M Bobo
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - François Aguet
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Alvaro Alonso
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | | | - Dan E Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | | | - Paul L Auer
- Zilber School of Public Health, University of Wisconsin Milwaukee, Milwaukee, WI, USA
| | | | - R Graham Barr
- Department of Medicine, Columbia University Medical Center, New York, NY, USA
- Department of Epidemiology, Columbia University Medical Center, New York, NY, USA
| | | | | | - Rebecca L Beer
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Emelia J Benjamin
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | - Lawrence F Bielak
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - John Blangero
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Michael Boehnke
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer A Brody
- Department of Medicine, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Esteban G Burchard
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Brian E Cade
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - James F Casella
- Department of Pediatrics, Johns Hopkins University, Baltimore, MD, USA
- Division of Pediatric Hematology, Johns Hopkins University, Baltimore, MD, USA
| | - Brandon Chalazan
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Michael H Cho
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | | | - Mina K Chung
- Department of Cardiovascular Medicine, Heart & Vascular Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Cardiovascular and Metabolic Sciences, Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
- Department of Molecular Medicine, Cleveland Clinic Lerner College of Medicine, Case Western Reserve University, Cleveland, OH, USA
| | - Clary B Clish
- Metabolomics Platform, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Adolfo Correa
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, MS, USA
- Department of Population Health Science, University of Mississippi Medical Center, Jackson, MS, USA
| | - Joanne E Curran
- Department of Human Genetics, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
- South Texas Diabetes and Obesity Institute, University of Texas Rio Grande Valley School of Medicine, Brownsville, TX, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, CA, USA
- Department of Laboratory Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Dawood Darbar
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Michelle Daya
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Dawn L DeMeo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Susan K Dutcher
- McDonnell Genome Institute, Washington University, St Louis, MO, USA
- Department of Genetics, Washington University, St Louis, MO, USA
| | - Patrick T Ellinor
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Leslie S Emery
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Diane Fatkin
- Molecular Cardiology Division, Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Kensington, New South Wales, Australia
- Cardiology Department, St Vincent's Hospital, Darlinghurst, New South Wales, Australia
| | - Tasha Fingerlin
- National Jewish Health, Center for Genes, Environment and Health, Denver, CO, USA
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | - Myriam Fornage
- Institute of Molecular Medicine, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Christian Fuchsberger
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
| | - Stephanie M Fullerton
- Department of Bioethics & Humanities, University of Washington School of Medicine, Seattle, WA, USA
| | | | - Mark T Gladwin
- Pittsburgh Heart, Lung, Blood and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Daniel J Gottlieb
- VA Boston Healthcare System, Boston, MA, USA
- Division of Sleep and Circadian Disorders, Brigham and Women's Hospital, Boston, MA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Michael E Hall
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Jiang He
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
- Tulane University Translational Science Institute, Tulane University, New Orleans, LA, USA
| | - Nancy L Heard-Costa
- Framingham Heart Study, Framingham, MA, USA
- Department of Neurology, Boston University School of Medicine, Boston, MA, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | - Marguerite R Irvin
- Department of Epidemiology, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jill M Johnsen
- Department of Medicine, University of Washington, Seattle, WA, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
| | - Andrew D Johnson
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA, USA
| | - Robert Kaplan
- Albert Einstein College of Medicine, New York, NY, USA
| | - Sharon L R Kardia
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Tanika Kelly
- Department of Epidemiology, Tulane University, New Orleans, LA, USA
| | - Shannon Kelly
- Department of Epidemiology, Vitalant Research Institute, San Francisco, CA, USA
- Department of Pediatrics, UCSF Benioff Children's Hospital, Oakland, CA, USA
- Division of Pediatric Hematology, UCSF Benioff Children's Hospital, Oakland, CA, USA
| | - Eimear E Kenny
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Douglas P Kiel
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Robert Klemmer
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Barbara A Konkle
- Department of Medicine, University of Washington, Seattle, WA, USA
- Bloodworks Northwest Research Institute, Seattle, WA, USA
| | - Charles Kooperberg
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
- Institute of Genetic Epidemiology, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany
| | - Leslie A Lange
- Department of Medicine, University of Colorado at Denver, Aurora, CO, USA
| | - Jessica Lasky-Su
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Daniel Levy
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA, USA
| | - Xihong Lin
- Biostatistics and Statistics, Harvard University, Boston, MA, USA
| | - Keng-Han Lin
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Chunyu Liu
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Ruth J F Loos
- The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- The Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Lori Garman
- Department of Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | | | | | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Angel C Y Mak
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA
| | - Ani Manichaikul
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Alisa K Manning
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Metabolism Program, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - David D McManus
- Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA, USA
| | - Stephen T McGarvey
- International Health Institute, Brown University, Providence, RI, USA
- Department of Epidemiology, Brown University, Providence, RI, USA
- Department of Anthropology, Brown University, Providence, RI, USA
| | - James B Meigs
- Division of General Internal Medicine, Massachusetts General Hospital, Harvard Medical School, The Broad Institute of MIT and Harvard, Boston, MA, USA
| | | | - Julie L Mikulla
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Mollie A Minear
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Braxton D Mitchell
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Geriatrics Research and Education Clinical Center, Baltimore Veterans Administration Medical Center, Baltimore, MD, USA
| | - Sanghamitra Mohanty
- Texas Cardiac Arrhythmia Institute, St David's Medical Center, Austin, TX, USA
- Department of Internal Medicine, Dell Medical School, Austin, TX, USA
| | - May E Montasser
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Courtney Montgomery
- Department of Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
| | - Alanna C Morrison
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Joanne M Murabito
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | - Andrea Natale
- Texas Cardiac Arrhythmia Institute, St David's Medical Center, Austin, TX, USA
| | - Pradeep Natarajan
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, The Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Sarah C Nelson
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Kari E North
- Department of Epidemiology, University of North Carolina, Chapel Hill, NC, USA
| | - Jeffrey R O'Connell
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Gina M Peloso
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Patricia A Peyser
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Jacob Pleiness
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Wendy S Post
- Division of Cardiology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Bruce M Psaty
- Department of Medicine, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - D C Rao
- Division of Biostatistics, Washington University in St Louis, St Louis, MO, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Dan Roden
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Sebastian Schoenherr
- Institute of Genetic Epidemiology, Department of Genetics and Pharmacology, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Jeong-Sun Seo
- Precision Medicine Center, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Macrogen Inc, Seoul, Republic of Korea
- Gong Wu Genomic Medicine Institute, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Sudha Seshadri
- Framingham Heart Study, Framingham, MA, USA
- Glenn Biggs Institute for Alzheimer's and Neurodegenerative Diseases, University of Texas Health Sciences Center at San Antonio, San Antonio, TX, USA
| | - Vivien A Sheehan
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
- Aflac Cancer and Blood Disorders Center, Children's Healthcare of Atlanta, Atlanta, GA, USA
| | - Wayne H Sheu
- Taichung Veterans General Hospital Taiwan, Taichung City, Taiwan
| | | | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA, USA
| | - Jennifer A Smith
- Department of Epidemiology, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, University of Washington, Seattle, WA, USA
| | - Adrienne M Stilp
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation, Harbor-UCLA Medical Center, Torrance, CA, USA
| | | | | | - Russell P Tracy
- Department of Pathology & Laboratory Medicine, University of Vermont Larner College of Medicine, Burlington, VT, USA
| | - David J Van Den Berg
- Center for Genetic Epidemiology, Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Ramachandran S Vasan
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
- Framingham Heart Study, Framingham, MA, USA
| | | | - Scott Vrieze
- Department of Psychology, University of Minnesota, Minneapolis, MN, USA
| | - Daniel E Weeks
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Bruce S Weir
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Scott T Weiss
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | | | - Cristen J Willer
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
- Department of Internal Medicine-Cardiology, University of Michigan, Ann Arbor, MI, USA
- Department of Human Genetics, University of Michigan, Ann Arbor, MI, USA
| | - Yingze Zhang
- Pittsburgh Heart, Lung, Blood and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, USA
- Pulmonary, Allergy and Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA
| | - Xutong Zhao
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Donna K Arnett
- Department of Epidemiology, University of Kentucky, Lexington, KY, USA
| | - Allison E Ashley-Koch
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Kathleen C Barnes
- Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Eric Boerwinkle
- University of Texas Health Science Center at Houston, Houston, TX, USA
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Stacey Gabriel
- The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Richard Gibbs
- Baylor College of Medicine Human Genome Sequencing Center, Houston, TX, USA
| | - Kenneth M Rice
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
| | - Edwin K Silverman
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Pankaj Qasba
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Weiniu Gan
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - George J Papanicolaou
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
- Northwest Genomics Center, Seattle, WA, USA
- Brotman Baty Institute, Seattle, WA, USA
| | - Sharon R Browning
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Sebastian Zöllner
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, USA
| | - L Adrienne Cupples
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA.
- Framingham Heart Study, Framingham, MA, USA.
| | - Cathy C Laurie
- Department of Biostatistics, University of Washington, Seattle, WA, USA.
| | - Cashell E Jaquish
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.
| | - Ryan D Hernandez
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.
- Department of Human Genetics, McGill University, Montreal, Quebec, Canada.
- Quantitative Biosciences Institute, University of California, San Francisco, San Francisco, CA, USA.
- Institute for Human Genetics, University of California, San Francisco, San Francisco, CA, USA.
- Bakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, CA, USA.
| | - Timothy D O'Connor
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
- Program in Personalized and Genomic Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
- Department of Medicine, University of Maryland School of Medicine, Baltimore, MD, USA.
| | - Gonçalo R Abecasis
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA.
| |
Collapse
|
49
|
Dinardo CL, Oliveira TGM, Kelly S, Ashley-Koch A, Telen M, Schmidt LC, Castilho S, Melo K, Dezan MR, Wheeler MM, Johnsen JM, Nickerson DA, Jain D, Custer B, Pereira AC, Sabino EC. Diversity of variant alleles encoding Kidd, Duffy, and Kell antigens in individuals with sickle cell disease using whole genome sequencing data from the NHLBI TOPMed Program. Transfusion 2021; 61:603-616. [PMID: 33231305 DOI: 10.1111/trf.16204] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/17/2020] [Accepted: 10/18/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Genetic variants in the SLC14A1, ACKR1, and KEL genes, which encode Kidd, Duffy, and Kell red blood cell antigens, respectively, may result in weakened expression of antigens or a null phenotype. These variants are of particular interest to individuals with sickle cell disease (SCD), who frequently undergo chronic transfusion therapy with antigen-matched units. The goal was to describe the diversity and the frequency of variants in SLC14A1, ACKR1, and KEL genes among individuals with SCD using whole genome sequencing (WGS) data. STUDY DESIGN AND METHODS Two large SCD cohorts were studied: the Recipient Epidemiology and Donor Evaluation Study III (REDS-III) (n = 2634) and the Outcome Modifying Gene in SCD (OMG) (n = 640). Most of the studied individuals were of mixed origin. WGS was performed as part of the National Heart, Lung, and Blood Institute's Trans-Omics for Precision Medicine (TOPMed) program. RESULTS In SLC14A1, variants included four encoding a weak Jka phenotype and five null alleles (JKnull ). JKA*01N.09 was the most common JKnull . One possible JKnull mutation was novel: c.812G>T. In ACKR1, identified variants included two that predicted Fyx (FY*X) and one corresponding to the c.-67T>C GATA mutation. The c.-67T>C mutation was associated with FY*A (FY*01N.01) in four participants. FY*X was identified in 49 individuals. In KEL, identified variants included three null alleles (KEL*02N.17, KEL*02N.26, and KEL*02N.04) and one allele predicting Kmod phenotype, all in heterozygosity. CONCLUSIONS We described the diversity and distribution of SLC14A1, ACKR1, and KEL variants in two large SCD cohorts, comprising mostly individuals of mixed ancestry. This information may be useful for planning the transfusion support of patients with SCD.
Collapse
Affiliation(s)
- Carla L Dinardo
- Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, Brazil
- Institute of Tropical Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| | | | - Shannon Kelly
- Vitalant Research Institute, San Francisco, California, USA
| | - Allison Ashley-Koch
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Marilyn Telen
- Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | | | | | | | - Marcia R Dezan
- Fundação Pró-Sangue Hemocentro de São Paulo, São Paulo, Brazil
| | - Marsha M Wheeler
- Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Jill M Johnsen
- University of Washington, Seattle, Washington, USA
- Bloodworks, Research Institute, Seattle, USA
| | - Deborah A Nickerson
- Department of Genome Sciences, School of Medicine, University of Washington, Seattle, Washington, USA
| | - Deepti Jain
- University of Washington, Seattle, Washington, USA
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California, USA
| | - Alexandre C Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), São Paulo, Brazil
| | - Ester C Sabino
- Institute of Tropical Medicine, Faculdade de Medicina da Universidade de São Paulo, São Paulo, Brazil
| |
Collapse
|
50
|
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.
Collapse
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
| | | | | |
Collapse
|