Nversion to determine whether there were differences in ulcer occurrence by randomization group in the absence of study drug. All analyses were conducted in SAS 9.3 or Stata 12.Results Study participantsCharacteristics of the 2,499 iPrEx participants have been described previously. [13] Briefly, all participants were born male and 313 (13.0 ) identified as transgender or as women. The mean age at
No differences by randomization group in the proportion of participants with 1 STI examination during which a perianal ulcer (FTC/TDF 3.5 vs. placebo 4.7 , P = 0.37) or groin ulcer (FTC/TDF 2.5 vs. placebo 1.9 , P = 0.51) was identified; results were similar after excluding participants with a positive syphilis rapid plasma reagin test at the same visit. However, symptoms that prompted STI exam
D if the HSV-2 diagnosis occurred at or after HIV seroconversion, and ulcers were excluded if they occurred at or after HIV seroconversion. We estimated the proportion of participants with 1 ulcer AE classified as Gradeor above (i.e., moderate, severe, or potentially life-threatening), 1 STI examination during which a perianal ulcer was detected, and 1 STI examination during which a groin ulcer
N of cRAI in the past three months being reported more frequently in the placebo arm (P = 0.01). Of the 1,383 participants who tested seronegative for HSV-2 at baseline, 36 (2.6 ) did not contribute person-time to incidence analyses because they were retrospectively found to be HIVinfected at baseline, tested seropositive for HSV-2 at the enrollment visit subsequent to screening, or were lost to f
Nversion to determine whether there were differences in ulcer occurrence by randomization group in the absence of study drug. All analyses were conducted in SAS 9.3 or Stata 12.Results Study participantsCharacteristics of the 2,499 iPrEx participants have been described previously. [13] Briefly, all participants were born male and 313 (13.0 ) identified as transgender or as women. The mean age at
T among participants living in Peru (46.0 ), Brazil (37.8 ), and Ecuador (37.3 ), with lower prevalence among participants living in Thailand (6.4 ), South Africa (17.6 ), and the United States (27.1 ; P,0.001). Randomization group was not associated with HSV-2 prevalence at baseline (P = 0.44). In multivariable analysis, all factors remained significantly associated with HSV-2 prevalence with the
T among participants living in Peru (46.0 ), Brazil (37.8 ), and Ecuador (37.3 ), with lower prevalence among participants living in Thailand (6.4 ), South Africa (17.6 ), and the United States (27.1 ; P,0.001). Randomization group was not associated with HSV-2 prevalence at baseline (P = 0.44). In multivariable analysis, all factors remained significantly associated with HSV-2 prevalence with the
T among participants living in Peru (46.0 ), Brazil (37.8 ), and Ecuador (37.3 ), with lower prevalence among participants living in Thailand (6.4 ), South Africa (17.6 ), and the United States (27.1 ; P,0.001). Randomization group was not associated with HSV-2 prevalence at baseline (P = 0.44). In multivariable analysis, all factors remained significantly associated with HSV-2 prevalence with the