Skip to main content
. 2004 Apr;10(4):643–652. doi: 10.3201/eid1004.030303

Table 3. Multivariate analysis of risk factors for perinatal HIV transmission, western Kenya, 1996–2001.

Adjusted relative risks (ARR) for perinatal HIV transmissiona
All womenb, N = 454
Placental malaria–negative, n = 348
Placental malaria–positiveb, n = 107
ARR (95% CI) p ARR (95% CI) p ARR (95% CI) p
Log10 viral load
1.8 (1.6 to 2.1)
<0.001
1.7 (1.4 to 2.0)
<0.001
3.5 (2.5 to 4.8)
<0.001
Episiotomy or perineal tear
1.6 (1.2 to 2.1)
0.004


4.8 (2.3 to 9.7)
<0.001
Low birth weight


1.9 (1.1 to 3.2)
0.03


Gravidity <3 versus >3


1.8 (1.2 to 2.8)
0.003


Placental malaria status






Negative
Referencec

N/A



<10,000 parasites/μL
0.4 (0.2 to 0.6)b
<0.001
N/A

Reference

>10,000 parasites/μL 0.7 (0.3 to 21.5)b NS N/A 2.0 (1.1 to 3.9) 0.04

a–, factor was not retained in the final model; CI, confidence interval; N/A, not applicable; NS, not significant.
bA significant interaction was found between viral load and placental malaria density (p = 0.02) in these analyses. The effect of this interaction on the relative risk for placental malaria is shown in Figures 1 and 2. All relative risks given in this table do not include this interaction but give a weighted average of the placental malaria effect at various levels of viral load.
cAn alternative model, in which placental malaria was fit as a binary variable (positive or negative), showed that placental malaria was protective for perinatal HIV transmission (relative risk 0.4, 95% CI 0.3 to 0.7, p < 0.001). In that model, log10 viral load and episiotomy or perineal tear remain independent risk factors.