Background: Human immunodeficiency virus (HIV) is prevalent in many countries where small-for-gestational age (SGA) and premature delivery are also common. However, the associations between maternal HIV, preterm delivery and SGA infants remain unclear. We estimate the prevalence of SGA and preterm (<37 weeks) births, their associations with antenatal maternal HIV infection and their contribution to infant mortality, in a high HIV prevalent, rural area in South Africa. Methods Data were collected, in a non-randomized intervention cohort study, on all women attending antenatal clinics (20012004), before the availability of antiretroviral treatment. Newborns were weighed and gestational age was determined (based on last menstrual period plus midwife assessment antenatally). Poisson regression with robust variance assessed risk factors for preterm and SGA birth, while Cox regression assessed infant mortality and associated factors. Results Of 2368 live born singletons, 16.6 were SGA and 21.4 were preterm. HIV-infected women (n 1189) more commonly had SGA infants than uninfected women (18.1 versus 15.1; P 0.051), but percentages preterm were similar (21.8 versus 20.9; P 0.621). After adjustment for water source, delivery place, parity and maternal height, the SGA risk in HIV-infected women was higher [adjusted relative risk (aRR) 1.28, 95 confidence interval (CI): 1.061.53], but the association between maternal HIV infection and preterm delivery remained weak and not significant (aRR: 1.07, 95 CI: 0.911.26). In multivariable analyses, mortality under 1 year of age was significantly higher in SGA and severely SGA than in appropriate-for-gestational-age infants [adjusted hazard ratio (aHR): 2.12, 95 CI: 1.183.81 and 2.77, 95 CI: 1.564.91], but no difference in infant mortality was observed between the preterm and term infants (aHR: 1.18 95 CI: 0.791.79 for 3436 weeks and 1.31, 95 CI: 0.582.94 for 100 g, a third measurement was taken and the two weights within 100 g were recorded; the mean value was calculated for this analysis (de Onis et al., 2004). Dried blood spot (DBS) samples were collected from all HIV-exposed newborn infants within 72 h of birth, and then at each scheduled clinic visit to determine their HIV status. HIV status was established by quantitative HIV RNA assay with a sensitivity of 80 copies/ml (equivalent to 1600 copies per 50 µl DBS) (Bland et al., 2010). Infants were considered to be perinatally infected if the DBS sample taken at 4–8 weeks was positive, post-natally infected if the 4–8-week sample was negative and any subsequent sample was positive or infected with ‘timing unknown’ if the first sample was taken after 8 weeks and was positive. In the antenatal period, socio-demographic and past and current pregnancy data were collected using structured questionnaires; post-natally, daily infant morbidity and feeding practices were documented at weekly intervals, and maternal weights, mid-upper arm circumference (MUAC) and height were measured (Bland et al., 2010). For these analyses, the weight and MUAC taken at 6 weeks post-delivery were used. Antenatal maternal HIV status was classified into HIV positive and negative; maternal CD4 count was measured in all HIV-positive women. LBW was defined as <2500 g (Kramer, 1987a,b). Infants were classified as preterm if the gestational age at birth was <37 completed weeks, and as SGA if below the 10th percentile of the birthweight-for-gestational age, as recommended by the WHO (WHO, 1995), with the US population-based reference used as the standard for comparability of the prevalence rates of SGA, and the potential effect of maternal HIV infection on SGA, with previous studies elsewhere in Africa (Alexander et al., 1996). To assess severely small-for-gestational-age infants, risk associations were further analyzed at a 3% cutoff (Oken et al., 2003). Size for gestational age was therefore categorized into three groups based on percentiles: AGA, ≥10%; SGA, 3 ≤ 10% and <3%, severely SGA. We only included singleton live births, given the increased risk of LBW and premature delivery for multiple birth; we also excluded stillbirths as four-fifths had missing birthweights. Place of delivery was classified into health facility and home. Parity was classified so as to compare primiparae with multiparae (Mansour et al., 2002) and was categorized as 0, 1–3 or ≥4. Based on the maternal enrollment clinic, residential area was classified as rural, peri-urban or urban, as most people in this setting are likely to attend their nearest clinic, with the median travel time of 81 min (Tanser, 2006). Neonatal mortality was defined as a death in the first 4 weeks of life (Lawn et al., 2005), while infant mortality was defined as the death by 12 months of age. Data were analysed using Stata Version 11.2 (STATA Corps, College Station, TX, USA). Differences between HIV-infected and -uninfected women were assessed using t-test for continuous variables with normal distribution, χ2 test for categorical variables and Fisher's exact test if the numbers were small. Poisson regression, with a value of one attributed to each participant's follow-up time to obtain prevalence ratio estimates (done on all subjects and then separately among the HIV-positive and HIV-negative mothers), was used to assess factors associated with SGA and preterm delivery. To minimize overestimation of the relative risk when using Poisson regression for a categorical covariate of interest, a robust variance procedure was used (Lin and Wei, 1989). This method was considered to be a better alternative than the logistic regression for analysis of cross-sectional data, with the latter producing higher estimates than the former (Coutinho et al., 2008). For ease of comparison with other studies, we repeated our analyses using the conventional binary logistic regression and found essentially similar results to those presented here using Poisson regression. Variables were considered for inclusion in the multivariable model. Goodness-of-fit tests, assessed using the likelihood-based Akaike information criteria (AIC), were used to determine the variables that significantly improved the final Poisson models' fit (Bruin, 2006). Mortality by maternal HIV status and SGA was assessed using Kaplan–Meier survival analysis. Follow-up time was computed as time from birth to withdrawal, loss to follow-up, migration or death if before the first year of life, whichever came first, allowing for child's HIV status as a time-varying variable for infant mortality analyses. Risk factors for infant mortality were assessed in univariable and multivariable Cox regression models with child HIV infection as a time-dependent variable; for the adjusted model, variables with a statistically significant association univariately were included in addition to three included (parity, maternal age and education) a priori (Ndirangu et al., 2010).
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