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1 ase of suicidal attempt in a woman following HIV seroconversion.
2 ytokine concentrations associated with later HIV seroconversion.
3 27, p<0.0001) in the past 6 months predicted HIV seroconversion.
4 n were reconstructed from estimated dates of HIV seroconversion.
5 in which gel users are closely monitored for HIV seroconversion.
6 imilar to the longitudinal estimate based on HIV seroconversion.
7 tic cell density, which potentially mediates HIV seroconversion.
8 d to estimate adjusted odds ratios (aORs) of HIV seroconversion.
9 The primary outcome was time to HIV seroconversion.
10 sessed how this risk changes with time since HIV seroconversion.
11 per patient were done retrospectively after HIV seroconversion.
12 en prevalent or incident HSV-2 infection and HIV seroconversion.
13 Documentation of recent HIV seroconversion.
14 up was withdrawn at the 6-month visit due to HIV seroconversion.
15 nce estimate based on prospectively observed HIV seroconversions.
16 phic factors to predict the one-year risk of HIV seroconversion: (1) membership in >=1 known "Risk Gr
18 and any detectable HPV at the visit prior to HIV seroconversion (adjusted odds ratio, 1.02; 95% confi
19 sition was not significantly associated with HIV seroconversion, after adjustment for sexual behavior
22 was observed in the first 5 years following HIV seroconversion among those infected sexually, though
24 ed long-term progression-free survival after HIV seroconversion and aimed to identify factors associa
25 HPV clearance was associated with subsequent HIV seroconversion and also with increased epidermal den
29 ty to reach persons who are at high risk for HIV seroconversion and provide them with evaluation, tre
30 lled in the present study within 6 months of HIV seroconversion and self-selected whether to initiate
31 use of BED-CEIA for the detection of recent HIV seroconversion and the calculation of incidence esti
32 incidence and mortality using the number of HIV seroconversions and deaths, respectively, divided by
33 of acute HIV infection, (2) documentation of HIV seroconversion, and (3) detection of recent HIV infe
34 HCV RNA load stabilized at 4 years after HIV seroconversion, and this point was used for analysis
35 omen's Interagency HIV Study who experienced HIV seroconversion, and used these data to characterize
36 clearance was significantly associated with HIV seroconversion (aOR, 3.25 [95% confidence interval {
38 al among HIV-positive men 5 to 6 years after HIV seroconversion, but not at 12 to 18 months, and the
41 h an estimated human immunodeficiency virus (HIV) seroconversion date, viral suppression <=400 copies
42 ected injection drug users (IDUs) with known HIV seroconversion dates from four cohort studies were p
43 portance of assessing the genetic linkage of HIV seroconversion events in HIV prevention studies invo
46 l counts after human immunodeficiency virus (HIV) seroconversion have decreased over calendar time am
47 ated risks for human immunodeficiency virus (HIV) seroconversion; however, others have reported highe
48 um specimens were selected with reference to HIV seroconversion: (i) more than 2 years prior, (ii) le
50 bserved a trend toward lower d(N)/d(S) after HIV seroconversion in 7 of 10 subjects and lower d(N)/d(
52 SETTING, AND POPULATION: Mortality following HIV seroconversion in a large multinational collaboratio
54 dy was conducted to examine risk factors for HIV seroconversion in homosexual men who became infected
55 entify a trend of lower CD4 counts following HIV seroconversion in Italy and suggest indirectly that
59 after on-site PrEP access, compared with 133 HIV seroconversions in 2860 person-years (4.65%) before
60 ticipants with human immunodeficiency virus (HIV) seroconversion in The Ring Study, a phase 3 trial o
65 lored despite being Bacteria Associated with HIV Seroconversion, Inflammation, and immune Cells (BASI
66 nd the risk of human immunodeficiency virus (HIV) seroconversion is unclear, and the genital cellular
68 raphic factors to predict the 1-year risk of HIV seroconversion: membership in >=1 known "risk group"
69 th Poisson regression to model predictors of HIV seroconversion, models that included measures of NEP
74 ction was detected in 85 percent of men with HIV seroconversion on the basis of the presence of E2 an
75 of 0.45 logs, increasing by 0.60 logs after HIV seroconversion (P < .0001), by 0.12 logs each subseq
76 igher HIV RNA levels in the first year after HIV seroconversion (P=.88) or faster rates of increase o
84 ces by geographical origin (GO) in time from HIV seroconversion (SC) to AIDS, death, and initiation o
85 thm for recent human immunodeficiency virus (HIV) seroconversion (STARHS) distinguishes between recen
86 ing a serologic testing algorithm for recent HIV seroconversion that uses both a sensitive and a less
90 panels from 155 persons identified prior to HIV seroconversion to assess antibody-based methods for
91 the time from human immunodeficiency virus (HIV) seroconversion to antiretroviral therapy (ART) init
93 2 weeks and 6 months after (early treatment) HIV seroconversion was associated with improvements in t
95 the loss of GBV-C RNA by 5 to 6 years after HIV seroconversion was associated with the poorest progn
97 nalyzed samples were from the visit in which HIV seroconversion was detected and the visit preceding
98 Using stored serum, the precise timing of HIV seroconversion was determined and the early effects
101 en early after human immunodeficiency virus (HIV) seroconversion was investigated in a cohort of 96 m
103 er, men without GBV-C RNA 5 to 6 years after HIV seroconversion were 2.78 times as likely to die as m