Retrovirus Epidemiology Donor Study-II (REDS II) Molecular Surveillance (MS)
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Accession Number
HLB00961212a
Study Type
Epidemiology Study
Collection Type
Open BioLINCC Study
See bottom of this webpage for request information
Study Period
2006 - 2009
NHLBI Division
DBDR
Dataset(s) Last Updated
January 3, 2018
Clinical Trial URLs
https://clinicaltrials.gov/ct2/show/NCT00097006
Primary Publication URLs
https://www.ncbi.nlm.nih.gov/pubmed/22293432
Consent
Commercial Use Data Restrictions No
Data Restrictions Based On Area Of Research No
Objectives
The objective of the study was to conduct a genetic analysis of incident and prevalent strains of HIV, HCV and HBV by testing blood specimens from HIV, HCV or HBV positive blood donors who gave blood at REDS-II centers, as well as at UBS, NYBC and ARC blood centers between 2006 and 2009.
Background
Genetic variations of human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B virus (HBV) can affect diagnostic assays and therapeutic interventions. Recent changes in prevalence of subtypes/genotypes and drug/immune-escape variants were characterized by comparing recently infected vs. more remotely infected blood donors.
Participants
This study included qualifying donations from 1 January 2006 through 31 December 31 2009 from 3 Retrovirus Epidemiology Donor Study-II (REDS-II) blood centers (Blood Centers of the Pacific, Blood Center of Wisconsin, and Hoxworth Blood Center/University of Cincinnati), all American Red Cross Blood Services regions, United Blood Services regions and the New York Blood Center. Together, these centers account for approximately 70% of the US blood supply.
Design
Infected donors were identified among approximately 34 million US blood donations, 2006–2009 based on screening and confirmatory tests for HIV and HCV nucleic acid testing, HIV and HCV antibody, HBsAg, and anti-HBV core antibody; incident infections were defined as having no or low antiviral antibody titers. Viral genomes were partially sequenced.
Conclusions
Viral genetic variant distribution in blood donors was similar to that seen in high-risk US populations. Blood-borne viruses detected through large-scale routine screening of blood donors can complement molecular surveillance studies of highly exposed populations. (Delwart et. al. 2012)
Additional Details
12118
Frequency | Percent | |
---|---|---|
16-20 | 1442 | 11.90 |
21-25 | 897 | 7.40 |
26-30 | 877 | 7.24 |
31-35 | 815 | 6.73 |
36-40 | 1038 | 8.57 |
41-45 | 1429 | 11.79 |
46-50 | 2002 | 16.52 |
51-55 | 1856 | 15.32 |
56-60 | 1035 | 8.54 |
61-65 | 379 | 3.13 |
66-70 | 179 | 1.48 |
71-75 | 93 | 0.77 |
76-80 | 49 | 0.40 |
81-85 | 16 | 0.13 |
>=86 | 11 | 0.09 |
Frequency | Percent | |
---|---|---|
NOT AVAILABLE | 3 | 0.02 |
FEMALE | 4366 | 36.03 |
MALE | 7749 | 63.95 |
Frequency | Percent | |
---|---|---|
REFUSED | 4 | 0.03 |
NOT AVAILABLE | 2621 | 21.63 |
ASIAN | 966 | 7.97 |
BLACK | 1823 | 15.04 |
HISPANIC | 918 | 7.58 |
NATIVE AMERICAN | 91 | 0.75 |
WHITE | 5352 | 44.17 |
MORE THAN ONE RACE | 57 | 0.47 |
OTHER | 286 | 2.36 |
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Resources Available
Study Datasets OnlyStudy Documents
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