Literature DB >> 23789991

Human immunodeficiency virus prevalence, incidence, and residual transmission risk in first-time and repeat blood donations in Zimbabwe: implications on blood safety.

Tonderai Mapako1, David A Mvere, McLeod E Chitiyo, Simbarashe Rusakaniko, Maarten J Postma, Marinus van Hulst.   

Abstract

BACKGROUND: National Blood Service Zimbabwe human immunodeficiency virus (HIV) risk management strategy includes screening and discarding of first-time donations, which are collected in blood packs without an anticoagulant (dry pack). To evaluate the impact of discarding first-time donations on blood safety the HIV prevalence, incidence, and residual risk in first-time and repeat donations (wet packs) were compared. STUDY DESIGN AND METHODS: Donor data from 2002 to 2010 were retrieved from a centralized national electronic donor database and retrospectively analyzed. Chi-square test was used to compare HIV prevalence with relative risk (RR), and the RR point estimates and 95% confidence interval (CI) are reported. Trend analysis was done using Cochran-Armitage trend test. HIV residual risk estimates were determined using published residual risk estimation models.
RESULTS: Over the 9 years the overall HIV prevalence estimates are 1.29% (n = 116,058) and 0.42% (n = 434,695) for first-time and repeat donations, respectively. The overall RR was 3.1 (95% CI, 2.9-3.3; p < 0.0001). The overall mean residual transmission risk of HIV window phase donations in first-time was 1:7384 (range, 1:11,308-1:5356) and in repeat donors it was 1:5496 (range, 1:9943-1:3347).
CONCLUSION: The significantly high HIV prevalence estimates recorded in first-time over repeat donations is indicative of the effectiveness of the HIV risk management strategy. However, comparable residual transmission risk estimates in first-time and repeat donors point to the need to further review the risk management strategies. Given the potential wastage of valuable resources, future studies should focus on the cost-effectiveness and utility of screening and discarding first-time donations.
© 2013 American Association of Blood Banks.

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Year:  2013        PMID: 23789991     DOI: 10.1111/trf.12311

Source DB:  PubMed          Journal:  Transfusion        ISSN: 0041-1132            Impact factor:   3.157


  7 in total

1.  A comparison of methods for estimating the incidence of human immunodeficiency virus infection in repeat blood donors.

Authors:  Donald J Brambilla; Michael P Busch; Roger Y Dodd; Simone A Glynn; Steven H Kleinman
Journal:  Transfusion       Date:  2016-12-01       Impact factor: 3.157

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Journal:  PLoS One       Date:  2022-04-28       Impact factor: 3.752

4.  Within-Gender Changes in HIV Prevalence among Adults between 2005/6 and 2010/11 in Zimbabwe.

Authors:  Elizabeth Gonese; Tonderai Mapako; Janet Dzangare; Simbarashe Rusakaniko; Peter H Kilmarx; Maarten J Postma; Stella Ngwende; John Mandisarisa; Ponesai Nyika; David A Mvere; Owen Mugurungi; Mufuta Tshimanga; Marinus van Hulst
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Authors:  Benjamin Seri; Albert Minga; Delphine Gabillard; Bamori Dembele; Seidou Konate; Jérôme Le Carrou; Lambert Dohoun; Yao Abo; Sophie Karcher; Patrick Coffie; Thérèse N'Dri-Yoman; Alain Attia; Serge P Eholié; Christine Danel; Karine Lacombe; Xavier Anglaret; Anders Boyd
Journal:  Open Forum Infect Dis       Date:  2018-03-16       Impact factor: 3.835

7.  Guidance for the procurement of COVID-19 convalescent plasma: differences between high- and low-middle-income countries.

Authors:  Evan M Bloch; Ruchika Goel; Silvano Wendel; Thierry Burnouf; Arwa Z Al-Riyami; Ai Leen Ang; Vincenzo DeAngelis; Larry J Dumont; Kevin Land; Cheuk-Kwong Lee; Adaeze Oreh; Gopal Patidar; Steven L Spitalnik; Marion Vermeulen; Salwa Hindawi; Karin Van den Berg; Pierre Tiberghien; Hans Vrielink; Pampee Young; Dana Devine; Cynthia So-Osman
Journal:  Vox Sang       Date:  2020-07-20       Impact factor: 2.996

  7 in total

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