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. Author manuscript; available in PMC: 2015 Sep 25.
Published in final edited form as: AIDS. 2013 Mar 13;27(5):731–737. doi: 10.1097/QAD.0b013e32835bc535

Table 2.

a. Performance of third- and fourth-generation IA, and the current and alternative laboratory HIV testing algorithms among 230 specimens from HIV-1 seroconverters
Multispot Western blot


NR R negative indeterminate positive
Third-generation screening

R n= 102 12 90 11 35 56
NAT negative 0 4 0 1 3
NAT positive 12 86 11 34 53
NR n= 128 128 0 n/d n/d n/d
Fourth-generation screening

R n=131 41 90 36 39 56
NAT negative 1 4 1 1 3
NAT positive 40 86 35 38 53
NR n=99 99 0 n/d n/d n/d
b. Number of specimens detected by the current and alternative laboratory HIV testing algorithm among 26 HIV-1 seroconverters (230 specimens)
Screening IA MS/NAT WB

Third-generation 102* ** 56**
Fourth-generation 130* ** 56**

Same specimens, and had been obtained subsequent to NAT-positive specimens from the same seroconverters

The table shows the number of specimens detected by the combination of different tests in the context of the current and alternative laboratory.

HIV testing algorithm including nucleic acid testing (NAT); n: number; n/d: not determined; NR: non-reactive; R: reactive; NAT: nucleic acid test

*

p< 0.001 (102 vs. 130);

**

p< 0.001 (102 vs. 56 and 130 vs. 56).

MS: Multispot; NAT: nucleic acid test; WB: Western blot*