Comparison of HIV prevalence among blood donors from 2018 to 2022
From 2018 to 2022, the total blood donors in the Zhejiang Province was 3 375 678 (Table 1), of which 335 were HIV positive, including 326 donors who were both HIV antibody and HIV RNA positive, and 9 donors who were HIV antibody negative but HIV RNA positive (all of them was male).
The overall HIV prevalence of blood donors is 9.9 per 100,000 donors. The distribution of HIV prevalence of blood donors from different blood services is shown in Table 1, and the difference of all blood services was not statistically significant( χ2=9.933, P=0.536). In the pairwise comparative analysis of each blood service (Table 1), only the highest( blood station of Ningbo) and the lowest(blood station of Huzhou) had statistically significant difference( χ2=4.501, P=0.034). The HIV prevalence in different blood services fluctuates in different years, as shown in Figure 1.
Table 1 The HIV prevalence of blood donors from different blood services in Zhejiang province,China
Blood services*
|
Huzhou
|
Quzhou
|
Zhoushan
|
Yiwu
|
Jiaxing
|
Jinhua
|
Lishui
|
Taizhou
|
Shaoxin
|
Hangzhou
|
Wenzhou
|
Ningbo
|
Total
|
2018
|
Number of positives
|
1
|
3
|
0
|
1
|
7
|
3
|
2
|
12
|
5
|
20
|
14
|
17
|
85
|
Number of donors
|
30368
|
23185
|
12894
|
12854
|
49599
|
50728
|
31617
|
45479
|
45404
|
150662
|
89558
|
82276
|
624624
|
Prevalence#
|
3.29
|
12.94
|
0.000
|
7.78
|
14.11
|
5.91
|
6.33
|
26.39
|
11.01
|
13.27
|
15.63
|
20.66
|
13.61
|
2019
|
Number of positives
|
3
|
2
|
1
|
1
|
4
|
8
|
6
|
1
|
1
|
13
|
12
|
10
|
62
|
Number of donors
|
30636
|
24944
|
13220
|
13074
|
53586
|
54433
|
32341
|
48553
|
47201
|
158996
|
97501
|
87681
|
662166
|
Prevalence#
|
9.79
|
8.02
|
7.56
|
7.65
|
7.46
|
14.70
|
18.55
|
2.06
|
2.12
|
8.18
|
12.31
|
11.40
|
9.36
|
2020
|
Number of positives
|
1
|
2
|
2
|
0
|
4
|
7
|
3
|
4
|
4
|
20
|
15
|
10
|
72
|
Number of donors
|
32753
|
25292
|
13005
|
14569
|
54499
|
59325
|
33408
|
45206
|
46496
|
160724
|
96126
|
89033
|
670436
|
Prevalence#
|
3.05
|
7.91
|
15.38
|
0.000
|
7.34
|
11.80
|
8.98
|
8.85
|
8.60
|
12.44
|
15.60
|
11.23
|
10.74
|
2021
|
Number of positives
|
4
|
1
|
0
|
3
|
2
|
5
|
2
|
5
|
10
|
13
|
7
|
8
|
60
|
Number of donors
|
34178
|
27015
|
14018
|
15841
|
56787
|
62710
|
33392
|
48137
|
47660
|
169929
|
98268
|
91146
|
699081
|
Prevalence#
|
11.70
|
3.70
|
0.000
|
18.94
|
3.52
|
7.97
|
5.99
|
10.39
|
20.98
|
7.65
|
7.12
|
8.78
|
8.58
|
2022
|
Number of positives
|
1
|
1
|
2
|
1
|
6
|
3
|
2
|
1
|
3
|
17
|
9
|
10
|
56
|
Number of donors
|
35861
|
28493
|
13985
|
16782
|
60512
|
63574
|
35107
|
50784
|
49694
|
171821
|
101758
|
91000
|
719371
|
Prevalence#
|
2.79
|
3.51
|
14.30
|
5.96
|
9.92
|
4.72
|
5.70
|
1.97
|
6.04
|
9.89
|
8.84
|
10.99
|
7.78
|
Total
|
Number of positives
|
10
|
9
|
5
|
6
|
23
|
26
|
15
|
23
|
23
|
83
|
57
|
55
|
335
|
Number of donors
|
163796
|
128929
|
67122
|
73120
|
274983
|
290770
|
165865
|
238159
|
236455
|
812132
|
483211
|
441136
|
3375678
|
Prevalence#
|
6.11
|
6.98
|
7.45
|
8.21
|
8.36
|
8.94
|
9.04
|
9.66
|
9.73
|
10.22
|
11.80
|
12.47
|
9.92
|
*Huzhou: blood station of Huzhou; Quzhou: blood station of Quzhou; Zhoushan: blood station of Zhoushan; Yiwu: blood station of Yiwu; Jiaxing: blood station of Jiaxing; Jinhua: blood station of Jinhua; Lishui: blood station of Lishui; Taizhou: blood station of Taizhou;Shaoxin: blood station of Shaoxin;Hangzhou: The blood center of zhejiang province;Wenzhou: blood station of Wenzhou;Ningbo:blood station of Ningbo.
#Prevalence: number per 100,000 donors.
Table 2 HIV Prevalence in the donors by gender, age, number of donations
Variable
|
Hangzhou
|
Wenzhou
|
Ningbo
|
Jinghua
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
Gender
|
Men
|
76
|
477773
|
1.591(1.233-1.948)
|
52
|
290223
|
1.792(1.305-2.278)
|
52
|
260808
|
1.994(1.452-2.535)
|
25
|
165799
|
1.508(0.917-2.099)
|
Women
|
7
|
334359
|
0.209(0.054-0.364)
|
5
|
192988
|
0.259(0.032-0.486)
|
3
|
180328
|
0.166(-0.022-0.355)
|
1
|
124971
|
0.08(-0.077-0.237)
|
Age
|
18-25
|
33
|
310785
|
1.062(0.700-1.424)
|
19
|
123324
|
1.541(0.848-2.233)
|
19
|
126746
|
1.499(0.825-2.173)
|
11
|
87860
|
1.252(0.512-1.992)
|
26-35
|
27
|
224408
|
1.203(0.749-1.657)
|
22
|
156510
|
1.406(0.818-1.993)
|
20
|
147069
|
1.36(0.764-1.956)
|
4
|
67619
|
0.592(0.012-1.171)
|
36-45
|
12
|
171051
|
0.702(0.305-1.098)
|
9
|
136797
|
0.658(0.228-1.088)
|
11
|
109326
|
1.006(0.412-1.601)
|
6
|
73714
|
0.814(0.163-1.465)
|
46-55
|
10
|
99554
|
1.004(0.382-1.627)
|
7
|
65164
|
1.074(0.278-1.87)
|
5
|
55642
|
0.899(0.111-1.686)
|
4
|
56712
|
0.705(0.014-1.396)
|
>55
|
1
|
6334
|
1.579(-1.516-4.673)
|
0
|
1416
|
0
|
0
|
2353
|
0
|
1
|
4865
|
2.055(-1.974-6.084)
|
Number of donations
|
1
|
54
|
400120
|
1.35(0.99-1.709)
|
41
|
237273
|
1.728(1.199-2.257)
|
36
|
206895
|
1.74(1.172-2.308)
|
14
|
128234
|
1.092(0.52-1.663)
|
≧2
|
29
|
412012
|
0.704(0.448-0.96)
|
16
|
245938
|
0.651(0.332-0.969)
|
19
|
234241
|
0.811(0.446-1.176)
|
12
|
162536
|
0.738(0.321-1.156)
|
Variable
|
Jinghua
|
Taizhou
|
Jiaxing
|
Lishui
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
Gender
|
Men
|
25
|
165799
|
1.508(0.917-2.099)
|
16
|
137186
|
1.166(0.595-1.738)
|
23
|
166158
|
1.384(0.818-1.95)
|
14
|
99652
|
1.405(0.669-2.141)
|
Women
|
1
|
124971
|
0.08(-0.077-0.237)
|
7
|
100973
|
0.693(0.18-1.207)
|
0
|
108825
|
0
|
1
|
66213
|
0.151(-0.145-0.447)
|
Age
|
18-25
|
11
|
87860
|
1.252(0.512-1.992)
|
3
|
44162
|
0.679(-0.089-1.448)
|
4
|
75285
|
0.531(0.011-1.052)
|
3
|
37002
|
0.811(-0.107-1.728)
|
26-35
|
4
|
67619
|
0.592(0.012-1.171)
|
8
|
62207
|
1.286(0.395-2.177)
|
12
|
95861
|
1.252(0.544-1.96)
|
6
|
39570
|
1.516(0.303-2.729)
|
36-45
|
6
|
73714
|
0.814(0.163-1.465)
|
7
|
72924
|
0.96(0.249-1.671)
|
6
|
65536
|
0.916(0.183-1.648)
|
3
|
47015
|
0.638(-0.084-1.36)
|
46-55
|
4
|
56712
|
0.705(0.014-1.396)
|
4
|
55482
|
0.721(0.014-1.427)
|
1
|
36309
|
0.275(-0.264-0.815)
|
3
|
40043
|
0.749(-0.099-1.597)
|
>55
|
1
|
4865
|
2.055(-1.974-6.084)
|
1
|
3384
|
2.955(-2.838-8.746)
|
0
|
1992
|
0
|
0
|
2235
|
0
|
Number of donations
|
1
|
14
|
128234
|
1.092(0.52-1.663)
|
16
|
96677
|
1.655(0.844-2.466)
|
15
|
134167
|
1.118(0.552-1.684)
|
7
|
58547
|
1.196(0.31-2.081)
|
≧2
|
12
|
162536
|
0.738(0.321-1.156)
|
7
|
141482
|
0.495(0.128-0.861)
|
8
|
140816
|
0.568(0.174-0.962)
|
8
|
107318
|
0.745(0.229-1.262)
|
|
|
Shaoxing
|
Quzhou
|
Huzhou
|
Zhoushan
|
|
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
Gender
|
Men
|
23
|
136526
|
1.685(0.996-2.373)
|
7
|
75453
|
0.928(0.241-1.615)
|
10
|
95827
|
1.044(0.397-1.69)
|
4
|
41364
|
0.967(0.019-1.915)
|
Women
|
0
|
99929
|
0
|
2
|
53476
|
0.374(-0.144-0.892)
|
0
|
67969
|
0
|
1
|
25758
|
0.388(-0.373-1.149)
|
Age
|
18-25
|
8
|
76632
|
1.044(0.321-1.767)
|
3
|
31547
|
0.951(-0.125-2.027)
|
5
|
47380
|
1.055(0.13-1.98)
|
2
|
24518
|
0.816(-0.315-1.946)
|
26-35
|
5
|
60338
|
0.829(0.102-1.555)
|
0
|
31190
|
0
|
4
|
51578
|
0.776(0.016-1.535)
|
0
|
19161
|
0
|
36-45
|
4
|
57716
|
0.693(0.014-1.372)
|
3
|
34578
|
0.868(-0.114-1.849)
|
1
|
39837
|
0.251(-0.241-0.743)
|
2
|
14592
|
1.371(-0.529-3.27)
|
46-55
|
6
|
39124
|
1.534(0.307-2.76)
|
3
|
29234
|
1.026(-0.135-2.187)
|
0
|
23642
|
0
|
1
|
8296
|
1.205(-1.157-3.568)
|
>55
|
0
|
2645
|
0
|
0
|
2380
|
0
|
0
|
1359
|
0
|
0
|
555
|
0
|
Number of donations
|
1
|
12
|
97941
|
1.225(0.532-1.918)
|
4
|
49029
|
0.816(0.016-1.615)
|
7
|
71359
|
0.981(0.254-1.708)
|
1
|
30684
|
0.326(-0.313-0.965)
|
≧2
|
11
|
138514
|
0.794(0.325-1.263)
|
5
|
79900
|
0.626(0.077-1.174)
|
3
|
92437
|
0.325(-0.043-0.692)
|
4
|
36438
|
1.098(0.022-2.173)
|
|
|
Yiwu
|
Total
|
|
|
|
|
|
|
|
|
N*
|
donors
|
Prevalence
(95% CI)
|
N*
|
donors
|
Prevalence
(95% CI)
|
|
|
|
|
|
|
Gender
|
Men
|
6
|
41775
|
1.436(0.287-2.585)
|
308
|
1988544
|
1.549(1.376-1.722)
|
|
|
|
|
|
|
Women
|
0
|
31345
|
0
|
27
|
1387134
|
0.195(0.121-0.268)
|
|
|
|
|
|
|
Age
|
18-25
|
2
|
18820
|
1.063(-0.41-2.535)
|
112
|
1004061
|
1.115(0.909-1.322)
|
|
|
|
|
|
|
26-35
|
2
|
21195
|
0.944(-0.364-2.251)
|
110
|
976706
|
1.126(0.916-1.337)
|
|
|
|
|
|
|
36-45
|
1
|
19557
|
0.511(-0.491-1.514)
|
65
|
842643
|
0.771(0.584-0.959)
|
|
|
|
|
|
|
46-55
|
1
|
12663
|
0.79(-0.758-2.338)
|
45
|
521865
|
0.862(0.61-1.114)
|
|
|
|
|
|
|
>55
|
0
|
885
|
0
|
3
|
30403
|
0.987(-0.13-2.103)
|
|
|
|
|
|
|
Number of donations
|
1
|
4
|
34734
|
1.152(0.023-2.28)
|
211
|
1545660
|
1.365(1.181-1.549)
|
|
|
|
|
|
|
≧2
|
2
|
38386
|
0.521(-0.201-1.243)
|
124
|
1830018
|
0.678(0.558-0.797)
|
|
|
|
|
|
|
Abbreviations: CI, confidence interval
HIV prevalence in the donors characterized by gender
In all blood services, the HIV prevalence of males was higher than that of females. Totally,the HIV prevalence of male blood donors was 15.49/100,000, and that of female blood donors was 1.95/100,000 (Table 2). The HIV prevalence of males was significantly higher than that of females (χ2=151.020, P<0.001).
HIV prevalence in the donors with different age
Totally,there was no significant difference in HIV prevalence among blood donors of different ages (χ2=8.334, P=0.080), but the HIV prevalence in 26 to 35 age group and 18 to 25 age group were significantly higher than that in 36 to 45 age group (χ2=5.923, P=0.015; χ2=5.656,P=0.017).
HIV Prevalence in the first-time blood donors and repeat blood donors
In all blood services, the HIV prevalence of the first-time blood donors was higher than that of the repeat blood donors except for blood station of Zhoushan. Totally, the HIV prevalence was 13.65/100,000 in the first-time blood donors and 6.78/100,000 in the repeat blood donors (Table 2), and the difference between the first-time blood donors and repeat blood donors was statistically significant (χ2=39.916, P<0.001).
HIV transmission Residual risk estimates
From 2018 to 2022, the HIV residual risk in blood transfusion transmission was 0.266/100 000 and the results are shown in table 3.
Table 3 HIV residual risk in blood transfusion transmission
|
donors
|
donations
|
positive
|
Incidence (1/100,00)
|
vDWP
|
residual risk
|
N
|
Totally Residual risk
(95% CI)
(1/1000,000)
|
First-time donors
|
1545660
|
1545660
|
211
|
/
|
0.0219
|
0.148
|
0.348
|
0.266(0.219-0.313)
|
Repeat donors
|
1830018
|
2349472
|
124
|
8.99
|
0.0219
|
0.4455
|
0.6886
|
Abbreviations: vDWP,viraemic phase of the diagnostic window period; CI, confidence interval; N,number of vDWP blood donations