A prospective cohort study of biomarkers of prenatal tobacco smoke exposure: the correlation between serum and meconium and their association with infant birth weight

<p>Abstract</p> <p>Background</p> <p>The evaluation of infant meconium as a cumulative matrix of prenatal toxicant exposure requires comparison to established biomarkers of prenatal exposure.</p> <p>Methods</p> <p>We calculated the frequency of detection and concentration of tobacco smoke metabolites measured in meconium (nicotine, cotinine, and trans-3'-hydroxycotinine concentrations) and three serial serum cotinine concentrations taken during the latter two-thirds of pregnancy among 337 mother-infant dyads. We estimated the duration and intensity of prenatal tobacco smoke exposure using serial serum cotinine concentrations and calculated geometric mean meconium tobacco smoke metabolite concentrations according to prenatal exposure. We also compared the estimated associations between these prenatal biomarkers and infant birth weight using linear regression.</p> <p>Results</p> <p>We detected nicotine (80%), cotinine (69%), and trans-3'-hydroxycotinine (57%) in most meconium samples. Meconium tobacco smoke metabolite concentrations were positively associated with serum cotinine concentrations and increased with the number of serum cotinine measurements consistent with secondhand or active tobacco smoke exposure. Like serum cotinine, meconium tobacco smoke metabolites were inversely associated with birth weight.</p> <p>Conclusions</p> <p>Meconium is a useful biological matrix for measuring prenatal tobacco smoke exposure and could be used in epidemiological studies that enroll women and infants at birth. Meconium holds promise as a biological matrix for measuring the intensity and duration of environmental toxicant exposure and future studies should validate the utility of meconium using other environmental toxicants.</p

Predicting respiratory syncytial virus hospitalisation in Australian children

Background: There is limited information on respiratory syncytial virus infections among Australians, particularly those of Indigenous descent.\ud \ud Aim: This study identifies groups of infants at risk of hospitalisation with respiratory syncytial virus-positive lower respiratory tract infection who may be targeted for prevention with palivizumab.\ud \ud Methods: Case control study: the case notes of 271 children with cases of respiratory syncytial virus-positive lower respiratory tract infection admitted to The Townsville Hospital were studied for risk factors. Controls were chosen randomly from babies born in The Townsville Hospital during that period. Multiple logistic regression analysis and classification and regression tree analysis were used to identify risk factors.\ud \ud Results: Multiple logistic regression analysis identified birthweight <2500 g, maternal parity and marital status to be independent predictors of hospitalisation with respiratory syncytial virus-positive lower respiratory tract infection. Classification and regression tree analysis identified babies born weighing <2500 g who possessed older siblings to be at highest risk. Single mothers and smoking were additional risk factors. Indigenous babies were significantly more likely to be exposed to all of the identified risk factors.\ud \ud Conclusion: Babies born weighing <2500 g (especially with siblings) could be targeted for prevention. All Indigenous babies should be considered at high risk because of their exposure to multiple risk factors