Am. Downs et al., PROBABILITY OF HETEROSEXUAL TRANSMISSION OF HIV - RELATIONSHIP TO THENUMBER OF UNPROTECTED SEXUAL CONTACTS, Journal of acquired immune deficiency syndromes and human retrovirology, 11(4), 1996, pp. 388-395
The objective of this study was to investigate the relationship betwee
n the number of unprotected heterosexual contacts with an HIV-infected
person and the probability of HIV transmission. Data from a European
study involving 563 heterosexual partners of HIV-infected subjects wer
e analyzed. The number of unprotected contacts could be estimated for
525 couples (377 with male index case, 148 with female index case) fro
m the reported frequency of unprotected contacts and an estimate of th
e length of the period during which transmission could have occurred.
Nonparametric (isotonic regression) and parametric (Bernoulli model) a
nalyses were performed on data at study entry and on follow-up data (1
21 couples). The nonparametric analysis resulted in several exposure g
roups, with the proportion of infected partners increasing with the nu
mber of contacts. For example, the percentage of female partners infec
ted ranged from 10%, among those with <10 unprotected contacts with an
infected male, to 23% after 2,000 unprotected contacts. The parametri
c estimates of (assumed constant) per-contact infectivity were higher
for male-to-female than for female-to-male transmission, but not signi
ficantly so. However, in comparison with nonparametric estimates, the
model assuming constant infectivity appears to seriously underestimate
the risk after very few contacts and to seriously overestimate the ri
sk associated with a large number of contacts. Our results suggest tha
t the association between the number of unprotected sexual contacts an
d the probability of infection is weak and highly inconsistent with co
nstant per-contact infectivity. Probable explanations for these findin
gs include large variability in infectivity between couples and within
individuals over time. Estimates based on partner study data under th
e hypothesis of constant infectivity can, therefore, be highly mislead
ing at a public health level, particularly when extrapolated to multip
le casual contacts.