Donated Blood Screening for HIV, HCV and HBV by ID-NAT and the Residual Risk of Iatrogenic Transmission in a Tertiary Care Hospital Blood Bank in Puebla, Mexico
Abstract
:1. Introduction
2. Materials and Methods
2.1. Blood Donors
2.2. HIV, HCV and HBV Serology
2.3. Individual Donor-Nucleic Acid Testing (ID-NAT) for HIV, HCV and HBV
2.4. Statistics and Residual Risk Determination
2.5. Categorization of the Acute Viremia Phase (AVP) for HIV, HCV and HBV Infections
3. Results
3.1. Data Sources and Blood Donors
3.2. HIV, HCV and HBV Seroprevalence
3.3. ID-NAT Detection of HIV-RNA, HCV-RNA and HBV-DNA
3.4. Blood Donors Detected in the Acute Viremia Phase (AVP) by Association of Serological Screening and ID-NAT
3.5. Cut-Off Value of Reactive Serological Tests to Predict Viral RNA or DNA Detection with ID-NAT
3.6. Determination of Residual Risk (RR) for HIV, HCV and HBV
3.7. Blood Donors with More Than One Marker during the Study Periods
4. Discussion
Reference | |||||||||
---|---|---|---|---|---|---|---|---|---|
[11] | [8] | [9] | [17] | [18] | [10] | [46] | [21] | Total | |
Year of publication | 2009 | 2010 | 2011 | 2016 | 2017 | 2019 | 2021 | 2021 | 2009–2021 |
Study period | 2009–2010 | 2009–2010 | 2008–2009 | 2014–2015 | 2012–2015 | 2016–2019 | 2008–2018 | 2018–2019 | 2009–2019 |
Institution | INC | CETS | IMSS | CETS | ISSSTE | IMSS | INP | IMSS | 5 |
Federal entity | Mexico City | Jalisco | Jalisco | Jalisco | Mexico City | Nuevo León | Mexico City | Jalisco | 3 of 32 |
Number of BD | 19,062 | 5938 | 47,847 | 37,999 | 36,793 | 188,705 | 64,982 | 80,391 | 481,717 |
PD-NAT | Yes, pool of 6 | Yes, pool of 6 | No | Yes, pool of 6 | No | No | Yes, pool of 6 | No | 4 |
ID-NAT | No | No | Yes | No | Yes | Yes | Yes (2018) | Yes | 5 |
Prevalence by NAT, N (P%) | Mean prevalence (CI 95%) a | ||||||||
HIV | 6 (0.031) | 0 (0.0) | 16 (0.033) | 10 (0.026) | 18 (0.049) | NR | 18 (0.027) | 32 (0.039) | 0.034 (0.025–0.043) |
HCV | 8 (0.041) | 5 (0.08) | 56 (0.11) | 44 (0.11) | 22 (0.059) | NR | 22 (0.033) | 45 (0.055) | 0.069 (0.040–0.098) |
HBV | 18 (0.094) | 7 (0.11) | 26 (0.054) | 11 (0.028) | 12 (0.033) | NR | 7 (0.010) | 20 (0.025) | 0.050 (0.015–0.085) |
Blood donors in acute viremia phase, N (R) b | |||||||||
HIV | 1 (1:18,944) | 0 | 0 | 1 (1:37,933) | NR | 2 (1:94,245) | 0 | 1 (1:80,239) | 5 (1:96,343) |
HCV | 2 (1:9971) | 1 (1:5938) | 0 | 4 (1:9488) | NR | 1 (1:187,788) | 0 | 4 (1:20,001) | 12 (1:40,143) |
HBV | 1 (1:18,732) | 0 | 0 | 0 | NR | 2 (1:94,224) | 0 | 2 (1:40,105) | 5 (1:96,343) |
22 (1:21,896) | |||||||||
OBI | 0 | 0 | 0 | 0 | NR | 3 (1:66,137) | 0 | 0 (0.0) | 3 (1:160,272) |
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Virus | Years | Screening Assay | Manufacturer | vDWP (Days) | vDWP (Year) |
---|---|---|---|---|---|
HIV | 2012–2015 | ChLIA (Anti-HIV/p24Ag) | a ARCHITECT HIV Ag/Ab Combo | 16 | 0.0438 |
2017–2019 | ChLIA (Anti-HIV) | b Laison XL Murex HIV Ab/Ag | 21 | 0.0575 | |
2017–2019 | ChLIA (p24Ag) | b Laison XL Murex HIV Ab/Ag | 14 | 0.0383 | |
2012–2019; 2017–2019 | ID-NAT (HIV-RNA) | c Procleix Ultrio Assay | 8 | 0.0219 | |
HCV | 2012–2015 | ChLIA (Anti-HCV) | a ARCHITECT Anti-HCV assay | 60 | 0.1642 |
2017–2019 | ChLIA (Anti-HCV | b Laison XL Murex HCV Ab | 60 | 0.1642 | |
2012–2015; 2017–2019 | ID-NAT (HCV-RNA) | c Procleix Ultrio Assay | 5 | 0.0136 | |
HBV | 2012–2015 | ChLIA (HBsAg) | a ARCHITECT HBsAg | 42 | 0.1150 |
2017–2019 | ChLIA (HBsAg) | b Laison XL Murer HBsAg Quant | 42 | 0.1150 | |
2012–2015; 2017–2019 | ID-NAT (HBV-DNA) | c Procleix Ultrio Assay | 27 | 0.0739 |
2012–2015 | 2017–2019 | |||||
---|---|---|---|---|---|---|
Serological Test or ID-NAT | BD (+) N | BD (−) N | Prevalence (CI 95%) | BD (+) N | BD (−) N | Prevalence (CI 95%) |
HIV | ||||||
Anti-HIV/p24Ag | 62 | 49,730 | 0.124 (0.10–0.16) | NP | NP | - |
Anti-HIV | NP | NP | - | 225 | 56,108 | 0.39 (0.34–0.45) |
p24Ag | NP | NP | - | 72 | 56,261 | 0.12 (0.10–0.15) |
ID-NAT-HIV | 30 | 49,762 | 0.056 (0.04–0.08) | 35 | 56,298 | 0.062 (0.044–0.080) |
HCV | ||||||
Anti-VHC | 168 | 49,624 | 0.34 (0.28–0.38) | 309 | 55,989 | 0.54 (0.48–0.60) |
ID-NAT-HCV | 29 | 49,763 | 0.058 (0.037–0.079) | 15 | 56,318 | 0.026 (0.022–0.030) |
HBV | ||||||
HBsAg | 50 | 49,743 | 0.10 (0.071–0.12) | 584 | 55,749 | 1.03 (0.95–1.11) |
Anti-HBc | 396 | 49,396 | 0.79 (0.71–0.87) | NP | NP | - |
ID-NAT-HBV | 32 | 49,760 | 0.064 (0.042–0.086) | 25 | 56,308 | 0.044 (0.027–0.061) |
Total, serology | 675 | 49,114 | 1.36 (1.26–1.46) | 1120 | 55,213 | 1.98 (1.87–2.10) |
Total, ID-NAT | 91 | 49,701 | 0.18 (0.16–0.22) | 75 | 56,258 | 0.13 (0.10–0.16) |
2012–2015 | 2017–2019 | ||||||||
---|---|---|---|---|---|---|---|---|---|
Algorithm | BD N | Phase of Infection | Serology (S/C0) | Prevalence (%) | Algorithm | BD N | Phase of Infection | Serology (S/C0) | Prevalence (%) |
HIV | |||||||||
Anti-HIV/p24Ag Combo (−), ID-NAT HIV (+) | 1 | AVP-HIV | 0.12 | 0.002 | Anti-HIV (−), p24Ag (+), ID-NAT HIV (−) | 61 | AVP-HIV | 3.20 | 0.110 |
Anti-HIV (−), p24Ag (−), ID-NAT HIV (+) | 3 | AVP-HIV | 0.23, 0.38 | 0.005 | |||||
HCV | |||||||||
Anti-HCV (−), ID-NAT HCV (+) | 2 | AVP-HCV | 0.420 | 0.004 | Anti-HCV (−), ID-NAT-HCV (+) | 3 | AVP-HCV | 0.41 | 0.005 |
HBV | |||||||||
HBsAg (+); Anti-HBc (−); ID-NAT HBV (+) | 1 | AVP-HBV | 30.2; 0.02 | 0.001 | HBsAg (−), ID-NAT HBV (+) | 0 | AVP-HBV | 0.000 | |
HBsAg (−), Anti-HBc (−); ID-NAT HBV (+) | 0 | AVP-HBV | 0.000 | ||||||
HBsAg (−), anti-HBc (+), ID-NAT HBV (+) | 2 | OBI | 0.17; 12.10 | 0.002 |
NAT | Serological Test | Reactive Serological Tests (S/CO) | S (%) | E (%) | Serological Test Associated with Detecting RNA or DNA (S/CO) | AUC | |
---|---|---|---|---|---|---|---|
HIV | 1st period | Combo anti-HIV/p24Ag | ≥1.0 | 90 (73.5–97.9) | 94.4 (81.4–99.3) | 13.0 | 0.934 |
2nd period | Anti-HIV | ≥1.0 | 85.7 (69.7–98.4) | 98.4 (95.6–99.7) | 23.9 | 0.864 | |
HCV | 1st period | Anti-HCV | ≥1.0 | 82.1 (63.1–93.9) | 94.6 (90.4–97.4) | 4.35 | 0.832 |
2nd period | Anti-HCV | ≥1.0 | 80.2 (61.2–99.2) | 97.1 (94.2–99.6) | 4.45 | 0.791 | |
HBV | 1st period | HBsAg | ≥1.0 | 92.6 (75.7–99) | 100 (82.2–100) | 141 | 0.925 |
Anti-HBc | ≥1.0 | 96.7 (83.3–99.9) | 82.7 (78.4–86.4) | 10.1 | |||
2nd period | HBsAg | ≥0.05 UI/mL | 100 (86.3–100) | 99.8 (99–100) | 16.4 UI/mL | 1.00 |
Donations (N) | RR per Million Donations (Combo) | RR per Million (Antibody) | RR per Million (Antigen) | RR per Million Donations (ID-NAT) | |
---|---|---|---|---|---|
HIV | |||||
2012 | 8191 | 59 | NP | NP | 20 |
2013 | 9246 | 85 | NP | NP | 25 |
2014 | 14,156 | 55 | NP | NP | 11 |
2015 | 18,199 | 43 | NP | NP | 3.4 |
2017 | 22,110 | NP | 293 | 58 | 11 |
2018 | 19,566 | NP | 199 | 48 | 15 |
2019 | 14,657 | NP | 172 | 31 | 13 |
Average | 60.2 | 221 | 45.6 | 14 | |
HCV | |||||
2012 | 8191 | NA | 740 | NA | 11.5 |
2013 | 9246 | NA | 833 | NA | 13.3 |
2014 | 14,156 | NA | 695 | NA | 10.6 |
2015 | 18,199 | NA | 462 | NA | 1.5 |
2017 | 22,110 | NA | 1127 | NA | 2.4 |
2018 | 19,566 | NA | 1064 | NA | 4.2 |
2019 | 14,657 | NA | 727 | NA | 4.6 |
Average | 806 | 6.8 | |||
HBV | |||||
2012 | 8191 | NA | NA | 121 | 31 |
2013 | 9246 | NA | NA | 1615 | 477 |
2014 | 14,156 | NA | NA | 1547 | 202 |
2015 | 18,199 | NA | NA | 547 | 43 |
2017 | 22,110 | NA | NA | 11,573 | 141 |
2018 | 19,566 | NA | NA | 9617 | 80 |
2019 | 14,657 | NA | NA | 9374 | 124 |
Average | 4913 | 156 |
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Sosa-Jurado, F.; Palencia-Lara, R.; Xicoténcatl-Grijalva, C.; Bernal-Soto, M.; Montiel-Jarquin, Á.; Ibarra-Pichardo, Y.; Rosas-Murrieta, N.H.; Lira, R.; Cortes-Hernandez, P.; Santos-López, G. Donated Blood Screening for HIV, HCV and HBV by ID-NAT and the Residual Risk of Iatrogenic Transmission in a Tertiary Care Hospital Blood Bank in Puebla, Mexico. Viruses 2023, 15, 1331. https://doi.org/10.3390/v15061331
Sosa-Jurado F, Palencia-Lara R, Xicoténcatl-Grijalva C, Bernal-Soto M, Montiel-Jarquin Á, Ibarra-Pichardo Y, Rosas-Murrieta NH, Lira R, Cortes-Hernandez P, Santos-López G. Donated Blood Screening for HIV, HCV and HBV by ID-NAT and the Residual Risk of Iatrogenic Transmission in a Tertiary Care Hospital Blood Bank in Puebla, Mexico. Viruses. 2023; 15(6):1331. https://doi.org/10.3390/v15061331
Chicago/Turabian StyleSosa-Jurado, Francisca, Roxana Palencia-Lara, Cinthia Xicoténcatl-Grijalva, Maribel Bernal-Soto, Álvaro Montiel-Jarquin, Yolanda Ibarra-Pichardo, Nora Hilda Rosas-Murrieta, Rosalia Lira, Paulina Cortes-Hernandez, and Gerardo Santos-López. 2023. "Donated Blood Screening for HIV, HCV and HBV by ID-NAT and the Residual Risk of Iatrogenic Transmission in a Tertiary Care Hospital Blood Bank in Puebla, Mexico" Viruses 15, no. 6: 1331. https://doi.org/10.3390/v15061331
APA StyleSosa-Jurado, F., Palencia-Lara, R., Xicoténcatl-Grijalva, C., Bernal-Soto, M., Montiel-Jarquin, Á., Ibarra-Pichardo, Y., Rosas-Murrieta, N. H., Lira, R., Cortes-Hernandez, P., & Santos-López, G. (2023). Donated Blood Screening for HIV, HCV and HBV by ID-NAT and the Residual Risk of Iatrogenic Transmission in a Tertiary Care Hospital Blood Bank in Puebla, Mexico. Viruses, 15(6), 1331. https://doi.org/10.3390/v15061331