ContextThe South African National Blood Service collects more than 700 000 units of blood annually from a population in which 11.4% is infected with human immunodeficiency virus 1 (HIV-1). The prevalence of HIV-1 in blood donations increased to 0.26% (1:385) in 1998, indicating that a significant number of window-period infective units were entering the blood supply (risk 3.4/100 000).ObjectivesTo determine whether the implementation of a new donor selection policy and educational program introduced in 1999 was associated with reductions in the incidence and prevalence of HIV-1 in blood donations and the reduced transmission risk.DesignWe compared the prevalence of HIV-1 in 880 534 blood donations collected from 1999 through 2000 with the 791 639 blood donations collected from 2001 through 2002. We estimated the incidence of HIV-1 in 93 378 (1999-2000) and 67 231 (2001-2002) first-time donations and the residual risk for all donations in 2001-2002 using the less-sensitive enzyme-linked immunoassay and incidence-window period model.SettingAll blood donors in the Inland region of the South African National Blood Service were analyzed.InterventionDonor clinics in high HIV prevalence areas were closed. Programs targeting repeat donors and youth were initiated and HIV risk behavior education programs were developed. Structured donor interviews and an enhanced donor self-exclusion questionnaire were institutionalized.ResultsThe prevalence of HIV-1 in blood donations declined from 0.17% in 1999-2000 to 0.08% in 2001-2002 after the implementation of the new donor selection and education policy. The number of high-risk donations collected decreased from 2.6% to 1.7% (P<.001), and the likelihood of these donations being infected decreased from 4.8% to 3.25%. The likelihood of first-time donors being recently infected with HIV-1 decreased from 18% to 14% (P = .07) and respective incidence of high-risk donations collected decreased from 2.6% to 1.7%. Donations from the majority black population declined from 6.6% to 4.2% (P<.001). Analysis of HIV-1 incidence in 2001-2002 suggests a residual risk of collecting a window period infectious unit of 2.6/100 000.ConclusionThe implementation of enhanced education and selection policies in South Africa was associated with decreased prevalence of HIV-1 in blood donations.South Africa is in the midst of an escalating human immunodeficiency virus (HIV)–AIDS pandemic with an estimated 5.3 million people infected.The prevalence of HIV-1 in women attending public antenatal care reached 27.9% in 2003, while 11.4% of the overall population is infected,predominantly through heterosexual and perinatal transmission. Although all sectors of the population are affected, there are significant associations with age, race, geography, and sex.In this environment, the South African National Blood Service (SANBS) collects more than 700 000 units of whole blood each year using internationally endorsed principles of voluntary donation, donor screening based on locally determined risk factors, and universal testing for HIV-1 and 2, hepatitis B and C, and syphilis.The 1990s witnessed a dramatic increase in HIV-1 prevalence culminating in 1998 when 0.26% (1:385) of blood donations were confirmed with positive results(SANBS, unpublished data, December 2003) (Figure 1). An analysis of 19 709 donors in 1999 estimated the residual risk of HIV-1 infection at 3.4 per 100 000 donations, implying that 24 infectious units entered the blood supply that year.These data necessitated the introduction of a structured risk-management program to minimize the impact of the escalating HIV pandemic. Enhanced donor selection, education, and product triage procedures were implemented, and rigorous standard operating procedures were enforced, with continued sensitive donor testing for HIV-1 antibodies and the p24 antigen.Figure 1.Prevalence of Human Immunodeficiency Virus 1 (HIV-1) Infection in Blood Donations and Attendees of Public Antenatal ClinicsPublic antenatal clinic attendees represent a high-risk group for HIV-1 infection in South Africa and provide the only reliable source of annual data on HIV-1 prevalence over a broad geography.The data on HIV-1 prevalence in blood donations is unpublished data from the South African National Blood Service.We report on HIV-1 prevalence in blood donations before and after implementation of these policies and estimate the residual risk for all blood donations following full program implementation. Our report forms a baseline from which alternate strategies are being implemented that may allow the majority of South Africans to donate blood while sustaining a safe and available supply.METHODSSerological Screening and Estimation of HIV Incidence and Residual RiskA total of 880 534 donations of whole blood and platelets collected between January 8, 1999, and August 8, 2000, and 791 639 units between January 1, 2001, and July 4, 2002 in the Inland region of SANBS were analyzed. All donations were voluntary, nonremunerated, and screened for HIV-1 and 2 antibodies, p24 antigens, hepatitis C antibody, and hepatitis B surface antigen (Abbott Prism, Abbott Park, Ill), and syphilis (Shield Diagnostics, Dundee, Scotland). Repeatedly reactive samples for HIV-1 p24 antigen were confirmed by neutralization (INNOTEST HIV antigen mAb Neutralization, Innogenetics, Belgium) and for HIV-1 and 2 antibody were confirmed using a second enzyme-linked immunoassay (EIA) (HIV-1/HIV-2 Ab-capture, Ortho-Clinical Diagnostics, Raritan, NJ). Human immunodeficiency virus Western blotting was not routinely performed.The incidence and residual risk of an HIV-1 infectious donation (ie, the risk of collecting an HIV-1 infectious unit despite donor selection and serological screening efforts) was estimated using the incidence window period model,based on the detection of recent infection by the less-sensitive EIA testing strategy.Samples that had tested repeatedly reactive for HIV-1or 2 antibody by 2 EIAs were anonymized (ie, relabeled with a study code linked to demographic and donation information), sent to Blood Systems Research Institute (San Francisco, Calif) and tested by the Standardized Testing Algorithm for Recent HIV Seroconversion (STARHS) protocol. STARHS is based on the detection of low avidity or titer antibodies by a less-sensitive EIA(Vironostika HIV-1 Microelisa, bioMérieux, Durham, NC). Samples that tested negative or weakly reactive by less-sensitive EIA were confirmed using a sensitive EIA (Vironostika HIV-1 Microelisa) and Western blot (Calypte Biotech, Alameda, Calif) to exclude false-positives. The less-sensitive EIA and sensitive EIA are the same assay run under different operating conditions with respect to incubation periods and sample dilution. The HIV-1 incidence and residual risk are estimated using the less-sensitive EIA seroconversion period for HIV-1 clade C infections of 311 days (95% confidence interval, [CI], 217-483).All study participants gave written informed consent for infectious disease testing, including HIV-1 testing, and for inclusion in research studies relating to blood safety. The study was approved by institutional review boards at SANBS and the University of California, San Francisco.Blood Safety PolicySANBS and its predecessor blood transfusion services have historically operated as independent nonprofit organizations licensed by the South African Department of Health and entrusted with maintaining a safe and available blood supply for all South Africans. Policies and procedures are vetted by an independent board of directors elected and represented predominantly by blood donors. The SANBS Blood Safety Policy introduced in 1999 is based on procuring sufficient blood for the needs of all patients from low-risk, voluntary donors.Donor clinics in areas where HIV prevalence is high were closed and programs targeting the youth and promoting repeat donation were initiated. Risk behavior education programs were developed for staff and donors. These took the form of educational sessions at donor sites and written material given to donors before each donation.Structured donor interviews with direct oral questioning were institutionalized to ensure understanding of the self-exclusion questionnairethat included questions relating to test-seeking behavior, male sex with males, injection drug abuse, recent sexually transmitted diseases, sex with prostitutes, heterosexual exposure to multiple partners, casual sex, and sexual assault. These are universally accepted criteria for donor deferral, with the additional criteria that donors with a history of sexual assault in the prior 12 months, a history of having more than 1 sexual partner, or having casual sex in the prior 6 months are deferred from donation. All donations were triaged according to a risk profile (Figure 2) and issued according to a safety hierarchy.Figure 2.The Prevalence of Human Immunodeficiency Virus 1 (HIV-1) Infection in South African Blood DonationsA indicates Asian; B, black; L, lapsed donor; M, mixed race; N, new donor; R, repeat donor; and W, white. Based on unpublished data from the South African National Blood Service.Donation risk profiles were derived from a multivariate analysis performed in 1998 on available demographic markers from 506 953 donations collected between April 1996 and March 1997. Donor HIV-1 prevalence rates were calculated for cohorts defined by sex (male or female); donation site (mobile or fixed clinics); race (white, black, Asian, and mixed race); and donation type (first-time, lapsed, and repeat). First-time donors had no donation record; lapsed donors had not donated in 12 months; and repeat donors had donated within 12 months. Race group was self-identified by the blood donor using using categories defined in the 2001 South African National Census.The significant risk indicators (P<.001) derived from the model were race group (&khgr;2 = 1172.21); sex (&khgr;2 = 58.68); location of blood collection site (&khgr;2 = 88.13); and donation type (&khgr;2 = 164.99). Risk cohorts were ranked according to HIV-1 prevalence (low <0.1%, intermediate, 0.1%-0.99%, or high risk ≥1.0%). Plasma from all donors was quarantined and only issued for transfusion after an acceptable subsequent donation. Excess plasma was used for fractionation. Cellular components were routinely prepared from low-risk donations. Cellular products from intermediate risk donations were only made available during times of blood shortages.Statistical AnalysisComparisons of prevalence rates were performed by logistic regression (version 9.1.3, SAS Institute, Cary, NC). Risk ratio (RR) and odds ratio (OR) were computed over total donations and stratified by demographic variables. Residual risks and yields were estimated using the window period/incidence rate model.Wald-type 95% confidence intervals (CIs) around estimates were computed using a Taylorseries approximation of the corresponding SE estimate.RESULTSPrevalence of HIV-1 in South African Blood Donors.Between 1991 and 1998, the prevalence of HIV-1 in blood donations increased from 0.06% (1:1666) to a peak of 0.26% (1:385)(Figure 1). In 1999, SANBS introduced a new safety policy aimed at improving the South African blood supply. The prevalence rates of HIV-1 decreased after implementation, reaching 0.05% in 2003. In the same period, the HIV-1 prevalence in patients visiting public antenatal clinics over a broad geography increased steadily from 0.7% in 1990 to 27.9% in 2003.To better understand the decline in prevalence of HIV-1 from donors, we compared the demographics of all collections in the Inland Region of SANBS in corresponding periods of 1999-2000 and 2001-2002. Demographic analysis in 1999-2000 confirmed that HIV-1 was most prevalent in first-time, female, black blood donors, aged 20 to 39 years (Table 1and Figure 2). Prevalence of HIV ranged from 0.06% to 0.33% in the 6 geographical provinces studied. Overall prevalence declined 50%, from 0.17% in 1999-2000 to 0.08% in 2001-2002 (OR, 2.0; 95% CI, 1.9-2.0; Table 1) with a reduction seen in most demographic groups. This decrease was attributable to a reduction in the proportion of intermediate (4.9% vs 3.3%, P = .001) and high-risk (2.6% vs 1.7%, P<.001) donations and decreased prevalence in these categories, as defined by sex, donation frequency, and race in our prior multivariate risk analysis (Figure 2). The low-risk group, incorporating the majority of donors (95% in 2001-2002), showed no change in prevalence.Table 1.Donor Demographics and Prevalence of Human Immunodeficiency Virus 1 Infection in the Years 1999-2000 and 2001-2002Donation PeriodComparing HIV Prevalence Between 1999-2000 and 2001-20021999-20002001-2002No. of DonationsTotal Donations, %HIV PositivePrevalence, %No. of DonationsTotal Donations, %HIV PositivePrevalence, %Odds Ratio (95% CI)Total88053414730.177916396640.082.0 (1.9-2.1)Donation frequencyFirst-time9337810.610061.08672318.53980.591.8 (1.6-2.1)Lapsed720518.22360.33672628.51590.241.4 (1.1-1.7)Repeat71510581.22310.0365715083.01070.022.0 (1.6-2.5)SexMen56033363.66620.1249769662.93190.061.8 (1.6-2.1)Women32020136.48110.2529394337.13450.122.2 (1.9-2.5)RaceBlack581696.612622.17332224.24841.461.5 (1.3-1.7)Mixed307683.51040.34241663.1630.261.3 (0.9-1.8)Asian178022.060.03185592.360.031.0 (0.3-3.2)White77379487.91010.0171569690.41110.020.8 (0.6-1.1)GeographyFree state12522914.22210.1810654613.5810.082.3 (1.8-3.0)Gauteng50619457.57600.1544151655.83660.081.8 (1.6-2.1)Mpumalanga12544114.22000.16114 26314.41110.101.6 (1.3-2.1)Northern Cape415944.7260.06371314.7220.061.1 (0.6-1.9)Northern Province49860.690.18286843.6170.063.0 (1.4-6.8)North West770908.82570.33635058.0670.113.2 (2.4-4.1)Age, y16-1912575314.31700.1410888613.8600.062.5 (1.8-3.3)20-2411768213.43290.289460212.01160.122.3 (1.8-2.6)25-2911139412.73740.349045011.41660.181.8 (1.5-2.2)30-349738011.12710.288957311.31190.132.1 (1.7-2.6)35-399431710.71640.178274810.5930.111.5 (1.2-2.0)40-449375010.6780.088523610.8510.061.4 (1.0-2.0)45-49787968.9480.06767889.7280.041.7 (1.0-2.7)50-54624737.1230.04611557.7170.031.3 (0.7-2.5)55-59452265.1110.02465095.970.021.6 (0.6-4.2)60-64288093.320.01301183.830.010.7 (0.1-4.2)≥65249542.830.01255803.240.020.8 (0.2-3.4)Risk categoryHigh231762.611294.87136851.74453.25Intermediate433154.92210.51258843.3930.36Low81404292.41230.0275206895.01260.02Abbreviations: CI, confidence interval; HIV, human immunodeficiency virus.Incidence of HIV-1 in First-Time Blood DonorsWe investigated HIV-1 incidence in first-time donors who yield the majority of infected donations (Table 1). There were 93 378 first-time donors during 1999-2000 and 67 231 in 2001/2002, representing 10.6% and 8.5%, respectively, of donations, a significant decline (P<.001). The prevalence of HIV-1 in first-time donors decreased from 1.08% to 0.59%, representing a 45% decline (OR, 1.8; 95% CI, 1.6-2.1; Table 2). All available HIV-seropositive samples from 1999-2000 (674 of 1006) and 2001-2002 (379 of 398) were anonymized and tested in the less-sensitive EIA system to detect recently infected donors. The proportions of available HIV-seropositive donations in each period were consistent across demographic subcategories, indicating no selection bias. Since each first-time donation represents an individual donor, the occurrence of new infections in the 311-day (95% CI, 217-483 days) window period of the less-sensitive EIA protocolcould be projected into an incidence rate and residual risk of HIV-1 transmission.Table 2.Human Immunodeficiency Virus 1 Prevalence, Incidence, and Residual Risk in First-Time Donors in 1999-2000 and 2001-2002Donation GroupsTotal Donations ScreenedNo. (%) of HIV-Positive DonorsSamples Available for LS-EIANo. (%) of Recent InfectionsProjected Incidence Rate per 100000 Person-Years (95% CI)Residual Risk per 100000 Donors (95% CI)Risk Ratio Between Years (95% CI)All first-time donors1999-2000933781006 (1.08)674122 (18)229 (123.5-334.6)9.4 (4.7-14.1)2.4 (1.6-3.2)2001-200267231398 (0.59)37952 (14)95 (47.1-143.7)3.9 (1.8-6.0)Sex1999-2000Men48539419 (0.86)29651 (17)175 (86.6-262.8)7.2 (3.3-11.0)2.3 (1.1-3.4)Women44839587 (1.31)37871 (19)289 (149.3-428.3)11.9 (5.7-18.0)2.5 (1.5-3.5)2001-2002Men34537176 (0.51)16521 (13)76 (30.2-122.2)3.1 (1.2-5.1)Women32692222 (0.68)21431 (14)115 (81.6-179.5)4.7 (2.0-7.5)Geography1999-2000Free state10621158 (1.49)10224 (24)411 (175.1-647.1)16.9 (6.7-27.0)4.6 (0.2-9.0)Gauteng55118513 (0.93)33855 (16)178 (89.1-266.6)7.3 (3.4-11.2)1.8 (1.0-2.6)Mpumalanga12579149 (1.18)10716 (15)208 (74.4-341.7)8.5 (2.8-14.2)1.4 (0.3-2.6)Northern Cape386416 (0.41)133 (23)112 (0-245.4)4.6 (0-10.1)2.5 (0-8.0)Northern Province14497 (0.48)69 (33)189 (0-457.4)7.8 (0-18.9)∞ (0-∞)North West9747163 (1.67)10822 (20)400 (164.9-635.2)16.4 (6.3-26.5)3.3 (0.4-6.3)2001-2002Free state690344 (0.64)425 (12)89 (2.4-175.8)3.7 (0-7.3)Gauteng39500227 (0.57)21631 (14)97 (43.3-150.4)4 (1.7-6.3)Mpumalanga770367 (0.87)649 (14)144 (31.7-255.6)5.9 (1.2-10.6)Northern Cape256613 (0.51)131 (8)46 (0-137.6)1.9 (0-5.7)Northern Province426715 (0.35)120 (0)0 (0-46.7)0 (0-1.9)North West629232 (0.51)306 (20)119 (11.6-227.3)4.9 (0.4-9.4)Race1999-2000Black15530905 (5.83)609107 (18)1202 (642.7-1762.3)49.4 (24.7-74.0)1.8 (1.2-2.5)Mixed554361 (1.10)366 (17)215 (25.2-405.6)8.8 (0.9-16.8)2.4 (0-5.9)White6906836 (0.05)278 (30)18 (3.8-32.5)0.7 (0.1-1.4)1.3 (0-2.6)Asian32374 (0.12)21 (50)73 (0-199.6)3 (0-8.2)∞ (0-∞)2001-2002Black8032321 (4.00)30543 (14)661 (316.9-1006.6)27.2 (12.2-42.2)Mixed395941 (1.04)413 (7)89 (0-196.7)3.7 (0-8.1)White5229834 (0.07)326 (19)14 (1.4-27.2)0.6 (0-1.1)Asian29412 (0.07)10 (0)0 (0-78.3)0 (0-3.2)Risk categories1999-2000High18458946 (5.13)632110 (17)1047 (561.0-1534.3)43 (21.6-64.5)1.9 (1.2-2.5)Intermediate261520 (0.76)133 (23)207 (0-449.0)8.5 (0-18.6)∞ (0-∞)Low7230540 (0.06)299 (31)20 (4.9-35.4)0.8 (0.2-1.5)1.5 (0-2.9)2001-2002High10125346 (3.42)33046 (14)559 (271.0-847.9)23 (10.4-35.5)Intermediate186616 (0.86)160 (0)0 (0-85.9)0 (0-3.5)Low5552836 (0.06)336 (18)14 (1.4-26.3)0.6 (0-1.1)Abbreviations: CI, confidence interval; LS-EIA, less-sensitive enzyme-linked immunoassay.Between 1999-2000 and 2001-2002 the incidence of HIV-1 among first-time donors declined from 229 to 95 per 100 000 person-years (RR, 2.4; 95% CI, 1.6-3.2), resulting in a 58% decrease in residual risk from 9.4 to 3.9 infectious units per 100 000 donations. The proportion of recent HIV-1 infections decreased from 18% to 14% (P = .07). Taken together, 28% fewer first-time donors were collected, these donors were 45% less likely to be infected with HIV-1, and the infections were 24% less likely to be recent. A breakdown of first-time donors into demographic categories reveals that declines in incidence rates and residual risk were seen in most categories (Table 2), achieving statistical significance in the Gauteng province, the black population, both sex groups and in the high-risk group. The white group was the only category that tended toward an increased HIV-1 prevalence (from 0.05% to 0.07%; P = .40) that was offset by a 37% reduction in recent infections (30% vs 19%).Residual Risk of Collecting an Infectious HIV-1 Window Period UnitIn 2001-2002, 8.5% of donations each were from first-time and lapsed donors; these donations had a 36-fold and a 15-fold higher prevalence of HIV-1 infection than repeat donations, respectively (Table 3). Available HIV-1 positive samples from all donations were anonymized and subjected to less-sensitive EIA analysis. As shown in Table 3, 83 (78%) of 107 repeat, 35 (23%) of 155 lapsed, and 52 (14%) of 379 first-time donations were likely collected from donors with recent seroconversion, emphasizing that when HIV-1 infection is detected in repeat or lapsed donors, it is more likely to represent a recently acquired infection compared with seropositive units from first-time donors.Table 3.HIV Prevalence, Incidence, Residual Risk of Infection, and Projected IDNAT Yields for All Donations in 2001-2002Donation FrequencyTotal Donations ScreenedNo. (%) of HIV-Positive DonationsNo. of Samples Available for LS-EIANo. (%) of Recent InfectionsHIV Incidence Rate per 100000 Donation-Years (95% CI)*Residual Risk byScreening Strategy per 100000 Donations (95% CI)Project Yield of Implementing IDNAT per 100000 Donationsp24 Antigen†IDNAT†IDNAT to p24 Antigen‡IDNAT to HIV Antibody‡First time67231398 (0.59)37952 (14)95.4 (47.1-143.7)3.9 (1.8-6.0)1.5 (0.7-2.2)2.5 (1.1-3.8)3.7 (1.7-5.8)Lapsed67262159 (0.24)15535 (23)62.7 (28.8-96.6)2.6 (1.1-4.0)1 (0.4-1.5)1.6 (0.7-2.6)2.5 (1.0-3.9)Repeat657150107 (0.02)10783 (78)60.9 (49.4-72.4)2.5 (1.8-3.2)0.9 (0.7-1.2)1.6 (1.1-2.1)2.4 (1.7-3.1)All791643664 (0.08)641170 (26)64 (53.2-74.8)2.6 (2.0-3.3)1 (0.8-1.2)1.6 (1.1-2.1)2.5 (1.8-3.2)Abbreviations: CI, confidence interval; HIV, human immunodeficiency virus; IDNAT, individual donation nucleic acid testing; LS-EIA, less-sensitive enzyme-linked immunoassay.*First-time and lapsed donor incidence rate is estimated by the proportion of recent infections divided by the mean LS-EIA window period of 311 days (SE 68 days), as derived from Fang et al.Repeat donor incidence rate is estimated by incident infections divided by person-time (ie, 107/[657, 150 × 97]), where the average interdonation interval was 97 days (data not shown). The overall incidence rate is the weighted (weighted by total donations screened) average of the donor type incidence rates.†Assuming the mean (SE) window period from first HIV viremia to p24 antigen positivity is 15.0 (1.4) days to IDNAT positivity is 5.6 (0.4) days.‡Assuming the mean (SE) window period from IDNAT positivity to p24 positivity is 9.4 (1.2) days and to antibody positivity is 14.7 (1.5) days.Although repeat donors contributed the largest number of high-risk recently acquired HIV-1 infections (83 vs 52) from first-time and 35 from lapsed donors), these donors represented the lowest overall frequency (12.6 per 100 000 donations). The residual risk of HIV-1 transmission was derived using the time ratio method developed by Busch et al.Using the current HIV-1 screening regimen, the residual risk of collecting an HIV-1 window-period unit is estimated at 2.6 (95% CI, 2.0-3.3) per 100 000 donations, with the highest rate of 3.9 (95% CI, 1.8-6.8) in first-time donations and the lowest, 2.5 (95% CI, 1.8-3.2) per 100 000, in repeat donations. These data were used to predict that the introduction of universal individual donation nucleic acid testing (IDNAT) would reduce the overall risk by 63%, to 1.0 (95% CI, 0.8-1.2) per 100 000 donations, and with annual collections of 700 000 units, would detect an additional 11.2 (95% CI, 7.7-14.7) viremic antibody-negative donations per year.COMMENTSouth Africa is being ravaged by a growing epidemic of HIV/AIDS that is spreading through every demographic group and now infects over 5 million individuals.In 2003 the rates of infection in young women attending public antenatal clinics in a wide geographic distribution ranged from 13.1% to 37.5%.The prevalence of HIV-1 in this high-risk group provides an annual indicator of HIV-1 expansion in South Africa, given the absence of other reliable population infection data (Figure 1). In this milieu, SANBS has strived to maintain a safe and sufficient blood supply for all South Africans.The World Health Organization (WHO) estimates that 5% to 10% of HIV/AIDS cases continue to be acquired from infected blood transfusionsand advocates that each country adopt a national blood policy that embraces voluntary nonremunerated donation by a donor pool that is selected for low risk. Donors should be screened for risk factors, educated to avoid risk behaviors, and encouraged to donate repeatedly, and all donations should be tested for major pathogens. Despite the adoption of these measures in South Africa, the 1990s saw a rapidly rising prevalence of HIV in blood donations, increasing from 0.06% in 1991 to 0.26% in 1998. An analysis of a representative sample of 19 709 donations in 1999 using IDNAT and less-sensitive EIA testing, suggested that 1:29 400 whole blood collections might be contaminated with HIV-1.In response to this threat, the SANBS adopted a standardized blood safety policy that includes the closure of donation sites with high HIV prevalence, implementation of direct oral questioning using a stringent self-exclusion questionnaire that incorporates questions about heterosexual and homosexual contacts, and intravenous drug abuse, HIV risk behaviors, and a product triage system based on donation risk profiling. Prevalence of HIV in the donor population declined progressively reaching 0.05% in 2003, in contrast with the persistent increase documented in antenatal clinic attendees (Figure 1).Comparison of the demographic features underpinning the decrease in HIV-1 prevalence showed that fewer first-time donations and fewer high- and intermediate-risk category donations were collected. First-time donors were also less likely to be HIV-1 infected or to have been recently exposed. Our data cannot address whether these declines were predominantly due to better selection or education of donors.Residual risk for collecting an HIV-1 window-period infectious unit in 2001-2002 was 2.6 per 100 000 donations, an approximate 24% decrease in window-period risk from that estimated in 1999 by Fang et al,despite an 18% increase in HIV-1 prevalence in antenatal clinic attendees over that period (Figure 1). Prevalence of HIV-1 in blood donations decreased from 0.19% in 1999to 0.08% in 2001-2002 (a 56% decline) suggesting that SANBS policies were more effective at preventing the collection of donors with established HIV-1 infections that are readily detected using serological tests than recently infected donors who may represent a window-period risk. These estimates are based on the calculated 311-day (95% CI, 217-483 days) window period for the less-sensitive EIA as determined in a relatively small number of donations by Fang et al.The advent of universal IDNAT testing in South Africa now provides an opportunity to validate these estimates and verify the true risks of HIV-1 transmission.The risk to patients was likely further reduced by SANBS product triage policy that prevented the routine transfusion of cellular products from the high- and intermediate-risk donation categories that yielded 438 (81%) of 664 donations that tested positive for HIV-1 (Table 1). However, our finding that repeat donations, generally considered to be from individuals at low risk of HIV infection, contributed 83 (48%) of 170 (Table 3) of recent infections, suggests that future risk models should be based on HIV-1 incidence, not prevalence rates. Currently SANBS confirms HIV-1 transfusion transmission in 1 to 2 recipients each year (data not shown).From a global perspective, South Africa has maintained a safe blood supply by maximizing collections from an ever diminishing repeat donor pool. Average donor frequency increased from 1.8 donations per year in 1998 to 2.8 in 2001, with 65 296 donors supplying half of the 586 089 units collected in the Inland Region of SANBS in 2001.The effect of closing donation sites in high-risk regions has been to skew the donor pool severely so that black individuals who comprise 79% of the populationcontributed only 4.2% of the blood supply in 2001-2002, down from 10% in 1999.Although these donor selection and product triage policies are effective, they are not sustainable given recent demographic trends. Moreover, concern has been raised with respect to equity, given that cellular products were used selectively and that closing blood donation sites effectively denies donation to blacks who do not indulge in high-risk behavior but donate at clinics located in high-risk areas.These policies have been justified on the basis that safe blood is distributed to all South Africans equally, with the majority black population receiving most (>80%) of the benefit of a safe blood supply, and that all donors can contribute to the blood supply in some way. Even high-risk donors can contribute plasma for transfusion if they are found to be acceptable on a subsequent donation.There has nevertheless been a strong motivation to develop donor screening systems that identify heterosexual behaviors that place prospective donors at increased HIV-1 risk and to end the practice of donation risk profiling using race as a marker. Risk markers described in other African countries include first-time donation, age older than 25 years, being married, paying for sex, recruitment venue, sexually transmitted disease or genital ulcer history, condom use, incarceration, and multiple sex partners.Many of these markers are included in the current self-exclusion questionnaire but have been ineffective at preventing high-risk donations to date.In December 2004, the use of race as a risk indicator was found to be unacceptable by the South African Department of Health. Negotiations between SANBS and the Minister of Health led to the implementation in October 2005 of a new Donor Status Risk Management Policy underpinned by IDNAT testing. This policy continues to use stringent donor selection, universal testing, and product triage to ensure blood safety; however, race and sex are no longer criteria for including or excluding blood donors.To identify behavioral risk profiles while collecting blood in populations known to harbor HIV-1 risk, HIV-1 incident infections must be identified in real time. To this end, and to interdict window-phase units, SANBS implemented IDNAT testing for HIV-1 and hepatitis B and C of all donations in early October 2005 and concurrently began to promote repeated blood donation in the black population. At the time of implementation, IDNAT is expected to yield an additional 11.2 (95% CI, 7.7-14.7) viremic, seronegative donations per year and to reduce window period risk by at least 63% to 1.0 infective unit per 100 000 transfused components (assuming 100% transmission by units collected during the 5.6-day residual infectious window period preceding the IDNAT detection threshold). This risk may increase as the donor base is broadened, with IDNAT yield moderating increased HIV-1 incidence.Under the new triage policy, fresh frozen plasma is quarantined and only released for transfusion if the subsequent donation tests negative for infectious markers as before. Platelet components are made only from donors who have donated on 4 or more occasions in the prior 24 months. Red blood cells from first-time donors are segregated and used only when there is a shortage of blood. Prevalence of HIV-1, incidence, and residual risk will be closely monitored and reported as changes are implemented. It is likely that further refinements to both the donor selection and product triage policies will be made as risks are identified.In the long term, we believe that education of blood donors will be a key factor for ongoing blood safety. There is a need for a structured program that is culturally attuned and presented in the multiple languages in common use.SANBS has been awarded funding under the President's Emergency Plan for AIDS Relief to work with the Centers for Disease Control and Prevention, the American Association of Blood Banks, and the American Red Cross to this end. It will be important to link this initiative to a broader national HIV/AIDS program and to promote blood donation as part of a safe lifestyle to prevent the spread of HIV through blood transfusions and high-risk behaviors.Corresponding Author:Anthon du P. Heyns, DSc, MD, FCPath(SA), South African National Blood Service, Private Bag X14, Weltevreden Park 1715, South Africa (firstname.lastname@example.org).Author Contributions:Drs Benjamin, Heyns, and Busch had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.Study concept and design: Heyns, Busch, Crookes.Acquisition of data: Swanevelder, Pappalardo.Analysis and interpretation of data: Benjamin, Wright, Busch.Drafting of the manuscript: Heyns, Benjamin, Swanevelder, Laycock.Critical revision of the manuscript for important intellectual content: Pappalardo, Crookes, Wright, Busch.Statistical analysis: Benjamin, Swanevelder, Laycock, Wright, Busch.Obtained funding: Heyns.Administrative, technical, or material support: Heyns, Laycock, Pappalardo, Crookes, Busch.Study supervision: Heyns.Financial Disclosures:Dr Busch is the recipient of an unrestricted research grant from Chiron Corp and has received speaking honoraria from Chiron and Gen-Probe. Dr Busch is a member of Scientific Advisory Boards of Chiron Corp and Gen-Probe Inc, the manufacturers of the IDNAT assays. No other authors reported disclosures.Funding/Support:This study was supported in part by an unrestricted research grant from Blood Systems Foundation, Scottsdale, Ariz, and a grant from the South African National Blood Service.Role of the Sponsor:Blood Systems Foundation played no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; nor in preparation, review, or approval of the manuscript.REFERENCESUNAIDS/World Health OrganizationAIDS Epidemic Update 2003.Available at: http://www.unaids.org/en/. Accessed December 7, 2005HGKustnerJPSwanevelderAVan MiddelkoopNational HIV surveillance–South Africa, 1990-1992.S Afr Med J1994841952007974040CConnollyOShisanaMColvinDStokerEpidemiology of HIV in South Africa - results of a national, community-based survey.S Afr Med J20049477678115487845CTFangSPFieldMPBuschHeyns AdP. Human immunodeficiency virus-1 and hepatitis C virus RNA among South African blood donors: estimation of residual transfusion risk and yield of nucleic acid testing.Vox Sang20038591912823725GBSchreiberMPBuschSHKleinmanJJKorelitzThe risk of transfusion-transmitted viral infections. The Retrovirus Epidemiology Donor Study.N Engl J Med1996334168516908637512EMLackritzGASattenJAberle-GrasseEstimated risk of transmission of the human immunodeficiency virus by screened blood in the United States.N Engl J Med1995333172117257491134SKleinmanMPBuschJJKorelitzGBSchreiberThe incidence/window period model and its use to assess the risk of transfusion-transmitted human immunodeficiency virus and hepatitis C virus infection.Transfus Med Rev1997111551729243769RYDoddEPNotariSLStramerCurrent prevalence and incidence of infectious disease markers and estimated window-period risk in the American Red Cross blood donor population.Transfusion20024297597912385406SAGlynnSHKleinmanDJWrightMPBuschInternational application of the incidence rate/window period model.Transfusion20024296697212385404MPBuschSAGlynnSLStramerA new strategy for estimating risks of transfusion-transmitted viral infections based on rates of detection of recently infected donors.Transfusion20054525426415660836SAGlynnSHKleinmanGBSchreiberTrends in incidence and prevalence of major transfusion-transmissible viral infections in US blood donors, 1991 to 1996.JAMA200028422923510889598SLStramerSAGlynnSHKleinmanDetection of HIV-1 and HCV infections among antibody-negative blood donors by nucleic acid-amplification testing.N Engl J Med200435176076815317889RSJanssenGASattenSLStramerNew testing strategy to detect early HIV-1 infection for use in incidence estimates and for clinical and prevention purposes.JAMA199828042489660362SLStramerSCagliotiDMStrongNAT of the United States and Canadian blood supply.Transfusion2000401165116811061850Dde ConingFinding blood donors: challenges facing donor recruitment in South Africa.Vox Sang200487(suppl 2)16817115209909AHeynsJPSwanevelderSafe Blood Supplies.Cambridge, England: Cambridge University Press; 2005Dde ConingChallenges facing donor recruitment in South Africa.Vox Sang200283(suppl 1)237231World Health OrganizationAide-memoire for National Blood Programmes.Available at: http://www.who.int/bloodsafety/transfusion_services/en/Blood_Safety_Eng.pdf. Accessed December 7, 2005South African National Blood ServiceDonor Self- Exclusion Questionnaire.Available at: http://www.sanbs.org.za/forms/Donor%20SEQ.pdf. Accessed December 7, 2005Statistics South AfricaMid-year Population Estimates, South Africa 2004.Available at: http://www.statssa.gov.za/Publications/P0302/P03022004.pdf. Accessed December 7, 2005JBKaplanTBennettUse of race and ethnicity in biomedical publication.JAMA20032892709271612771118RGMillerThe Delta Method.New York, NY: Wiley; 1981National Department of HealthNational HIV and Syphilis Antenatal Sero-prevalence Survey in South Africa 2004.Available at: http://www.doh.gov.za/docs/reports/2004/hiv-syphilis.pdf. Accessed December 7, 2005SPFieldDonation in populations with high endemic virus infection.Vox Sang200487(suppl 2)192115209871South African National Blood ServiceHaemovigilance Annual Report: Blood Transfusion South Africa 2003.Available at: http://www.sanbs.org.za/forms/Final%20Report%202003.pdf. Accessed December 7, 2005CBatemanBlood on the racial walls.S Afr Med J20059520220615889839WMcFarlandJGKahnDAKatzensteinDMvereRShamuDeferral of blood donors with risk factors for HIV infection saves lives and money in Zimbabwe.J Acquir Immune Defic Syndr Hum Retrovirol199591831927749797WMcFarlandDMvereDKatzensteinRisk factors for prevalent and incident HIV infection in a cohort of volunteer blood donors in Harare, Zimbabwe: implications for blood safety.AIDS199711(suppl 1)S97S1029376107WMcFarlandDMvereRShamuDKatzensteinRisk factors for HIV seropositivity among first-time blood donors in Zimbabwe.Transfusion1998382792849563408WMcFarlandDMvereWShanderaAReingoldEpidemiology and prevention of transfusion-associated human immunodeficiency virus transmission in sub-Saharan Africa.Vox Sang19977285929088075DMvereRShamuRMakoniSLloydENhauWMcFarlandStrong preference “to donate” among HIV-positive blood donors in Zimbabwe.Lancet19963479028622417SOkwareAOpioJMusinguziPWaibaleFighting HIV/AIDS: is success possible?Bull World Health Organ2001791113112011799443
JAMA – American Medical Association
Published: Feb 1, 2006
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