| Literature DB >> 34908757 |
Mohammad Farahmand1, Ahmad Tavakoli2,3, Saied Ghorbani2, Seyed Hamidreza Monavari2, Seyed Jalal Kiani2, Sara Minaeian4.
Abstract
BACKGROUND: Human parvovirus B19 (B19V) is one of the blood-borne viruses. The virus can be transmitted to susceptible individuals by blood or blood products. The virus is not associated with significant disease in general population, while people with underlying problems such as immunodeficiency can cause anemia and arthritis. The current systematic review and meta-analysis aimed to estimate the overall prevalence of B19V DNA, anti-B19V IgG, and anti-B19V IgM antibodies in blood donors worldwide.Entities:
Keywords: B19V DNA; blood donors; meta-analysis; parvovirus B19; seroprevalence
Year: 2021 PMID: 34908757 PMCID: PMC8628227 DOI: 10.4103/ajts.ajts_185_20
Source DB: PubMed Journal: Asian J Transfus Sci ISSN: 0973-6247
Figure 1Flowchart presenting the results of the literature search
Characteristics of the included studies in this systematic review and meta-analysis (original)
| Author, year (reference) | Location | Total sample size | Type of sample | Detection method | Molecular target | Number of positive for B19V DNA | Number of positive for anti-B19V IgM | Number of positive for anti-B19V IgG |
|---|---|---|---|---|---|---|---|---|
| Mcomish | Scotland | 2000 | Plasma | Nested PCR | NR | 6 | - | - |
| Yoto | Japan | 1000 | Serum | Nested PCR | VP1 | 6 | - | - |
| Letaïef | Belgium and Tunisia | 819 | Serum | ELISA | - | - | 11 | 572 |
| Mata Rebón | Spain | 92 | Serum | ELISA | - | - | - | 9 |
| Muñoz | Spain | 136 | Serum | ELISA | - | - | 0 | 88 |
| Thomas | Belgium | 16,859 | Plasma | Nested PCR | NS1 | 27 | - | - |
| Candotti | UK, Ghana, South Africa, and Malawi | 2440 | Plasma | Nested PCR and real-time PCR | NS1 | 25 | - | - |
| Manaresi | Italy | 446 | Serum | ELISA | - | - | - | 353 |
| Henriques | Portugal | 5025 | Plasma | Real-time PCR | NR | 6 | - | - |
| Wei | China | 184 | Serum | ELISA | - | - | - | 102 |
| Kleinman | USA | 5020 | Plasma | Real-time PCR | VP1 | 44 | - | - |
| Gaggero | Chile | 400 | Serum | ELISA | - | - | - | 219 |
| Mahmoudi | Iran | 730 | Serum | Semi-nested PCR and ELISA | NS1, NS2, VP1 | 0 | 4 | 338 |
| Johargy, 2009[ | Saudi Arabia | 578 | Serum | ELISA | - | - | - | 441 |
| O’Bryan and Wright, 2010[ | USA | 282 | Serum | ELISA | - | - | - | 162 |
| Oh | South Korea | 10,032 | Plasma | Real-time PCR | NR | 10 | - | - |
| South Korea | 928 | Plasma | ELISA | - | - | 7 | 551 | |
| Filatova | Russian federation | 1000 | Serum | Real-time PCR | NR | 10 | - | - |
| Ke | China | 3957 | Plasma | Real-time PCR | NS1 | 23 | - | - |
| China | 448 | Plasma | ELISA | - | - | 31 | 110 | |
| Mahmoodian-Shooshtari and Sharifi, 2011[ | Iran | 1640 | Serum | Semi-nested PCR and ELISA | NS1, NS2, VP1 | 0 | 8 | 676 |
| Grabarczyk | Poland | 980 | Plasma | Real-time PCR | NR | 1 | - | - |
| He | China | 92 | Plasma | Real-time PCR and ELISA | NS1 | 0 | - | 30 |
| Slavov | Brazil | 47 | Plasma | Real-time PCR and ELISA | VP1 | 0 | - | 27 |
| Slavov | Brazil | 100 | Plasma | Real-time PCR and ELISA | VP1 | 1 | - | 60 |
| Kumar | India | 1633 | Serum | ELISA | - | - | 123 | - |
| Iheanacho | Nigeria | 150 | Serum | ELISA | - | - | 2 | 99 |
| Juhl | Germany | 23,889 | Plasma | Real-time PCR | NR | 157 | - | - |
| Han | China | 5030 | Plasma | Real-time PCR | NR | 3 | - | - |
| Ou | China | 10,452 | Plasma | Real-time PCR | NR | 6 | - | - |
| China | 1078 | Plasma | ELISA | - | - | 50 | 181 | |
| Slavov | Brazil | 91 | Plasma | Real-time PCR | VP1 | 1 | - | - |
| Zhang | China | 96 | Plasma | Real-time PCR and ELISA | NS1 | 0 | 2 | 21 |
| Osman | Sudan | 110 | Plasma | Nested PCR | VP1 | 8 | - | - |
| Omer | Sudan | 180 | Serum | ELISA | - | - | - | 114 |
| Chirambo-Kalolekesha | Zambia | 192 | Serum | ELISA | - | - | 30 | - |
| Faddy | Australia | 2221 | Plasma | ELISA | - | - | - | 1360 |
| Göral | Turkey | 988 | Serum | ELISA | - | - | 39 | 582 |
| Raturi | India | 800 | Serum | ELISA | - | - | 11 | 273 |
| Silva | Brazil | 89 | Serum | Real-time PCR and ELISA | VP1 | 0 | - | 54 |
| Zadsar | Iran | 500 | Plasma | Nested PCR and ELISA | VP2 | 6 | 13 | 138 |
| Francois | South Africa | 1500 | Plasma | Real-time PCR | NS1 | 14 | - | - |
| South Africa | 90 | Plasma | ELISA | - | - | 0 | 56 | |
| Slavov | Brazil | 477 | Plasma | Real-time PCR | VP1 | 1 | - | - |
| Slavov | Brazil | 480 | Plasma | Real-time PCR and ELISA | VP1 | 9 | - | 258 |
PCR=Polymerase chain reaction, ELISA=Enzyme-linked immunosorbent assay
Figure 2Forest plot of the prevalence of B19V DNA among blood donors
Subgroup analysis of the prevalence of B19V DNA in blood donors
| Characteristics | Categories | Number of studies | Pooled prevalence (%) (95% CI) | Heterogeneity test ( | Differences between subgroups; Chi-square test ( |
|---|---|---|---|---|---|
| Overall | - | 26 | 0.4 (0.3-0.6) | 89.7, <0.01 | - |
| Sample type | Serum | 5 | 0.4 (0.1-1.1) | 56.0, 0.04 | |
| Plasma | 21 | 0.4 (0.2-0.7) | 91.4, <0.01 | ||
| Detection method | Real-time PCR | 18 | 0.4 (0.2-0.6) | 86.6, <0.01 | |
| Nested PCR | 6 | 0.8 (0.2-2.3) | 95.4, <0.01 | ||
| Semi-nested PCR | 2 | 0.05 (0.01-0.3) | 0, 0.69 | ||
| Detection index | VP1 | 9 | 1.1 (0.5-2.4) | 79.1, <0.01 | |
| NS1 | 6 | 0.5 (0.2-1.2) | 90.8, <0.01 | ||
| NS1 and NS2 | 2 | 0.05 (0.01-0.3) | 0, 0.69 | ||
| VP2 | 1 | 1.2 (0.5-2.6) | 0, NA | ||
| Study location | Brazil | 6 | 1.3 (0.7-2.3) | 1.1, 0.41 | |
| China | 5 | 0.2 (0.05-0.8) | 88.5, <0.01 | ||
| Iran | 3 | 0.2 (0.01-2.4) | 78.7, <0.01 | ||
| South Africa | 2 | 0.8 (0.5-1.4) | 0, 0.49 | ||
| Belgium | 1 | 0.1 (0.1-0.2) | 0, NA | ||
| Germany | 1 | 0.6 (0.5-0.7) | 0, NA | ||
| Ghana | 1 | 1.3 (0.7-2.2) | 0, NA | ||
| Japan | 1 | 0.6 (0.2-1.3) | 0, NA | ||
| Malawi | 1 | 1.2 (0.2-8.3) | 0, NA | ||
| Poland | 1 | 0.1 (0.01-0.7) | 0, NA | ||
| Portugal | 1 | 0.1 (0.05-0.2) | 0, NA | ||
| Russian Federation | 1 | 1.0 (0.5-1.8) | 0, NA | ||
| Scotland | 1 | 0.3 (0.1-0.6) | 0, NA | ||
| South Korea | 1 | 0.1 (0.05-0.2) | 0, NA | ||
| Sudan | 1 | 7.2 (3.6-13.8) | 0, NA | ||
| United Kingdom | 1 | 0.9 (0.47-1.72) | 0, NA | ||
| USA | 1 | 0.9 (0.6-1.1) | 0, NA |
PCR=Polymerase chain reaction, CI=Confidence interval, NA=Not available
Figure 3Forest plot of the seroprevalence of anti-B19V IgM among blood donors
Subgroup analysis of the seroprevalence of anti-B19V IgM in blood donors (original)
| Characteristics | Categories | Number of studies | Pooled prevalence (%) (95% CI) | Heterogeneity test ( | Differences between subgroups; Chi-square test ( |
|---|---|---|---|---|---|
| Overall | - | 16 | 2.2 (1.3-3.7) | - | |
| Study location | Iran | 3 | 0.9 (0.2-3.0) | 88.2, <0.01 | |
| China | 3 | 5.1 (3.4-7.7) | 60.7, 0.08 | ||
| India | 2 | 3.3 (0.6-16.2) | 96.8, <0.01 | ||
| Belgium | 1 | 0.9 (0.3-2.3) | 0, NA | ||
| Nigeria | 1 | 1.3 (0.3-5.1) | 0, NA | ||
| South Africa | 1 | 0.5 (0.03-8.1) | 0, NA | ||
| South Korea | 1 | 0.7 (0.3-1.5) | 0, NA | ||
| Spain | 1 | 0.3 (0.02-5.5) | 0, NA | ||
| Tunisia | 1 | 1.8 (0.8-3.8) | 0, NA | ||
| Turkey | 1 | 3.9 (2.9-5.3) | 0, NA | ||
| Zambia | 1 | 15.6 (11.1-21.4) | 0, NA | ||
| Sample type | Serum | 9 | 2.0 (0.9-4.3) | 95.4, | |
| Plasma | 6 | 2.6 (1.4-5.0) | 86.2, |
CI=Confidence interval, NA=Not available
Figure 4Forest plot of the seroprevalence of anti-B19V IgG among blood donors
Subgroup analysis of the seroprevalence of anti-B19V IgG in blood donors (original)
| Characteristics | Categories | Number of studies | Pooled prevalence (%) (95% CI) | Heterogeneity test ( | Differences between subgroups; |
|---|---|---|---|---|---|
| Overall | - | 26 | 50.1 (43.1-57.1) | 98.2, <0.01 | - |
| Study location | China | 5 | 28.8 (17.3-44.0) | 96.7, <0.01 | |
| Brazil | 4 | 55.7 (52.0-59.3) | 0, 0.49 | ||
| Iran | 3 | 38.1 (29.5-47.5) | 95.5, <0.01 | ||
| Spain | 2 | 31.1 (2.7-87.8) | 98.1, <0.01 | ||
| Australia | 1 | 61.2 (59.1-63.2) | 0, NA | ||
| Belgium | 1 | 73.9 (69.6-77.8) | 0, NA | ||
| Chile | 1 | 54.7 (49.8-59.5) | 0, NA | ||
| India | 1 | 34.1 (30.9-37.4) | 0, NA | ||
| Italy | 1 | 79.1 (75.1-82.6) | 0, NA | ||
| Nigeria | 1 | 66.0 (58.0-73.1) | 0, NA | ||
| Saudi Arabia | 1 | 76.3 (72.6-79.5) | 0, NA | ||
| South Africa | 1 | 62.2 (51.8-71.6) | 0, NA | ||
| South Korea | 1 | 59.3 (56.1-62.4) | 0, NA | ||
| Sudan | 1 | 63.3 (56.0-70.0) | 0, NA | ||
| Tunisia | 1 | 56.0 (60.1-69.7) | 0, NA | ||
| Turkey | 1 | 58.9 (55.8-61.9) | 0, NA | ||
| USA | 1 | 57.4 (51.6-63.0) | 0, NA | ||
| Sample type | Serum | 15 | 56.1 (48.0-64.0) | 97.7, <0.01 | |
| Plasma | 11 | 42.0 (30.0-55.0) | 98.7, <0.01 |
CI=Confidence interval, NA=Not available