| Literature DB >> 34194265 |
Heloise Skiavine Madeira1, Claudinei Mesquita da Silva1,2, Neila Cristina Scapini3, Leyde Daiane de Peder1,4, Jorge Juarez Vieira Teixeira4.
Abstract
OBJECTIVES: To compare the results of conventional serological tests and molecular technology (NAT, Nucleic Acid Amplification Test), identify donors in the diagnostic window period, and determine the prevalence of hepatitis B virus (HBV), hepatitis C virus (HCV), and human immunodeficiency virus (HIV) among the samples of blood donors blocked by serological screening.Entities:
Keywords: Blood donors; HBV; HCV; HIV; Molecular biology; Serology
Year: 2021 PMID: 34194265 PMCID: PMC8233538 DOI: 10.1016/j.jsps.2021.04.019
Source DB: PubMed Journal: Saudi Pharm J ISSN: 1319-0164 Impact factor: 4.330
Fig. 1Prevalence of blood donors with bags collected by Health Regions in Paraná, 2018 to 2019.
Epidemiological profile of blood donors unfit for HBV, HCV and HIV in serological screening at Blood Centers in Parana, 2018–2019.
| 16–25 | 338 (22.6) | <0.001 |
| 26–35 | 451 (30.2) | |
| 36–45 | 394 (26.3) | |
| 46–55 | 234 (15.6) | |
| 56–65 | 73 (4.9) | |
| 66–69 | 06 (0.4) | |
| Feminine | 677 (45.3) | 0.395 |
| Male | 819 (54.8) | |
| First donation | 1050 (70.2) | <0.001 |
| Repeat donation | 446 (29.8) | |
| Spontaneous/voluntary | 1099 (73.5) | <0.001 |
| Linked/replenishment | 397 (26.5) | |
| Married | 662 (44.3) | <0.001 |
| Divorced | 44 (2.9) | |
| Single | 575 (38.4) | |
| Widower | 13 (0.9) | |
| Uninformed | 202 (13.5) | |
| ≤8 years of study | 544 (36.4) | 0.008 |
| >8 years of study | 952 (63.6) | |
| Yellow | 08 (0.5) | <0.001 |
| White | 881 (58.9) | |
| Black | 42 (2.8) | |
| Brown | 72 (4.8) | |
| Uninformed | 493 (33.0) | |
| A type | 538 (36.0) | <0.001 |
| AB type | 42 (2.8) | |
| B type | 164 (11.0) | |
| O type | 752 (50.3) | |
| Negative | 207 (13.8) | <0.001 |
| Positive | 1289 (86.2) | |
Characteristics of blood donors unfit for HBV, HCV and HIV (Serology+ and NAT+) in serological screening at Blood Centers in Paraná, 2018 to 2019.
| HBV | HCV | HIV | |||||
|---|---|---|---|---|---|---|---|
| n (%) | p Value | n (%) | p Value | n (%) | p Value | p Value | |
| 16–39 | 96 (53.9) | 0.496 | 03 (30.0) | <0.001 | 55 (62.5) | 0.016 | 0.003 |
| 40–69 | 82 (46.1) | 07 (70.0) | 33 (37.5) | 0.004 | |||
| Feminine | 49 (27.5) | <0.001 | 02 (20.0) | <0.001 | 24 (27.3) | <0.001 | 0.480 |
| Male | 129 (72.5) | 08 (80.0) | 64 (72.7) | 0.784 | |||
| First donation | 175 (98.3) | <0.001 | 10 (100) | <0.001 | 79 (89.8) | <0.001 | 0.732 |
| Repeat donation | 03 (1.7) | 0 | 09 (10.2) | 0.029 | |||
| Spontaneous/voluntary | 104 (58.4) | 0.269 | 07 (70.0) | <0.001 | 69 (78.4) | <0.001 | 0.231 |
| Linked/replenishment | 74 (41.6) | 03 (30.0) | 19 (21.6) | 0.038 | |||
| Married | 83 (46.6) | 0.016 | 06 (60.0) | <0.001 | 18 (20.4) | <0.001 | <0.001 |
| 51 (28.7) | 03 (30.0) | 52 (59.2) | <0.001 | ||||
| Uninformed | 44 (24.7) | 01 (10.0) | 18 (20.4) | ||||
| ≤8 years | 92 (51.7) | 0.810 | 07 (70.0) | <0.001 | 36 (40.9) | 0.085 | 0.018 |
| >8 years | 86 (48.3) | 03 (30.0) | 52 (59.1) | 0.008 | |||
| White | 75 (42.1) | 0.138 | 04 (40.0) | <0.001 | 43 (48.9) | 0.904 | 0.609 |
| 103 (57.9) | 06 (60.0) | 45 (51.1) | 0.681 | ||||
| 178 (100) | 10 (100) | 88 (100) | |||||
n, number of donors.
Single, this variable includes single, divorced and widowed.
Others include yellow, black, brown and unreported.
Chi-square calculated considering the values between HBV, HCV and HIV.
Prevalence of blood donors unfit for HBV, HCV and HIV according to serology and concordant and discrepant NAT in serological screening by Regional Health, per year analyzed.
| 2 (0.07) | 0 (0.00) | 0 (0.00) | 4 (0.15) | 7 (0.26) | 4 (0.15) | 17 (0.63) | 2 (0.07) | 0 (0.00) | 1 (0.04) | 1 (0.04) | 5 (0.18) | 4 (0.14) | 13 (0.46) | ||
| 7 (0.02) | 1 (0.00) | 13 (0.04) | 39 (0.11) | 95 (0.27) | 38 (0.11) | 193 (0.55) | 6 (0.02) | 1 (0.00) | 3 (0.01) | 22 (0.06) | 37 (0.11) | 43 (0.13) | 112 (0.33) | ||
| 0 (0.00) | 0 (0.00) | 2 (0.02) | 11 (0.09) | 23 (0.18) | 24 (0.19) | 60 (0.47) | 1 (0.01) | 0 (0.00) | 2 (0.02) | 9 (0.08) | 12 (0.11) | 10 (0.09) | 34 (0.30) | ||
| 0 (0.00) | 0 (0.00) | 1 (0.04) | 1 (0.04) | 8 (0.30) | 2 (0.08) | 12 (0.45) | 3 (0.12) | 0 (0.00) | 1 (0.04) | 2 (0.08) | 4 (0.16) | 2 (0.08) | 12 (0.49) | ||
| 5 (0.07) | 1 (0.01) | 2 (0.03) | 11 (0.14) | 28 (0.37) | 10 (0.13) | 57 (0.75) | 2 (0.03) | 0 (0.00) | 1 (0.01) | 5 (0.07) | 13 (0.17) | 8 (0.11) | 29 (0.39) | ||
| 0 (0.00) | 0 (0.00) | 1 (0.03) | 4 (0.12) | 12 (0.35) | 9 (0.26) | 26 (0.76) | 0 (0.00) | 0 (0.00) | 0 (0.00) | 4 (0.11) | 8 (0.21) | 5 (0.13) | 17 (0.45) | ||
| 10 (0.13) | 0 (0.00) | 0 (0.00) | 13 (0.16) | 16 (0.20) | 13 (0.16) | 52 (0.65) | 8 (0.13) | 0 (0.00) | 2 (0.03) | 7 (0.11) | 7 (0.11) | 4 (0.06) | 28 (0.45) | ||
| 11 (0.16) | 0 (0.00) | 1 (0.01) | 10 (0.14) | 16 (0.23) | 10 (0.14) | 48 (0.69) | 13 (0.19) | 0 (0.00) | 0 (0.00) | 13 (0.19) | 3 (0.04) | 10 (0.14) | 39 (0.56) | ||
| 13 (0.10) | 0 (0.00) | 7 (0.05) | 9 (0.07) | 22 (0.17) | 9 (0.07) | 60 (0.46) | 14 (0.11) | 0 (0.00) | 3 (0.02) | 5 (0.04) | 26 (0.20) | 14 (0.11) | 62 (0.47) | ||
| 19 (0.14) | 1 (0.01) | 4 (0.03) | 18 (0.13) | 35 (0.25) | 19 (0.14) | 96 (0.69) | 16 (0.11) | 1 (0.01) | 2 (0.01) | 11 (0.07) | 16 (0.11) | 16 (0.11) | 62 (0.42) | ||
| 6 (0.07) | 0 (0.00) | 0 (0.00) | 9 (0.11) | 17 (0.21) | 13 (0.16) | 45 (0.56) | 5 (0.07) | 0 (0.00) | 3 (0.04) | 2 (0.03) | 6 (0.08) | 8 (0.11) | 24 (0.32) | ||
| 1 (0.01) | 0 (0.00) | 1 (0.01) | 6 (0.08) | 28 (0.38) | 2 (0.03) | 38 (0.52) | 5 (0.08) | 0 (0.00) | 2 (0.03) | 7 (0.12) | 8 (0.13) | 14 (0.23) | 36 (0.60) | ||
| 2 (0.04) | 0 (0.00) | 3 (0.06) | 0 (0.00) | 3 (0.06) | 0 (0.00) | 8 (0.16) | 2 (0.06) | 0 (0.00) | 3 (0.09) | 1 (0.03) | 0 (0.00) | 0 (0.00) | 6 (0.18) | ||
| 3 (0.04) | 0 (0.00) | 1 (0.01) | 4 (0.05) | 16 (0.20) | 13 (0.17) | 37 (0.47) | 2 (0.03) | 0 (0.00) | 4 (0.05) | 4 (0.05) | 8 (0.11) | 7 (0.09) | 25 (0.33) | ||
| 3 (0.03) | 2 (0.02) | 2 (0.02) | 1 (0.01) | 2 (0.02) | 0 (0.00) | 10 (0.08) | 2 (0.02) | 0 (0.00) | 8 (0.06) | 0 (0.00) | 1 (0.01) | 0 (0.00) | 11 (0.09) | ||
| 1 (0.01) | 0 (0.00) | 2 (0.03) | 2 (0.03) | 24 (0.32) | 16 (0.21) | 45 (0.60) | 4 (0.08) | 0 (0.00) | 4 (0.08) | 1 (0.02) | 7 (0.14) | 9 (0.17) | 25 (0.48) | ||
| 2 (0.06) | 0 (0.00) | 2 (0.06) | 4 (0.12) | 7 (0.22) | 9 (0.28) | 24 (0.75) | 1 (0.02) | 1 (0.02) | 1 (0.02) | 2 (0.05) | 7 (0.17) | 3 (0.07) | 15 (0.37) | ||
| 0 (0.00) | 0 (0.00) | 0 (0.00) | 4 (0.14) | 8 (0.28) | 3 (0.11) | 15 (0.52) | 0 (0.00) | 0 (0.00) | 1 (0.03) | 4 (0.11) | 6 (0.16) | 4 (0.11) | 15 (0.41) | ||
| 5 (0.08) | 1 (0.02) | 1 (0.02) | 6 (0.10) | 23 (0.39) | 16 (0.27) | 52 (0.88) | 2 (0.05) | 1 (0.02) | 3 (0.07) | 4 (0.09) | 4 (0.09) | 6 (0.14) | 20 (0.46) | ||
| 0 (0.00) | 0 (0.00) | 0 (0.00) | 5 (0.31) | 5 (0.31) | 4 (0.25) | 14 (0.86) | 0 (0.00) | 0 (0.00) | 1 (0.05) | 1 (0.05) | 0 (0.00) | 1 (0.05) | 3 (0.15) | ||
n: number of donors.
Total: prevalence considering all infections, disregarding the difference between serology and NAT, by Health Region, per year.
Fig. 2Prevalence of infection in donors who are reagent for Serology and NAT for HBV, HCV and HIV in serological screening at the Health Regions in Paraná, 2018–2019.