OBJECTIVE: The main purpose of this study was to identify possible associations between medicines used in pregnancy and preterm deliveries using data mining as a screening tool. SETTINGS: Prospective cohort study. METHODS: We used data mining to identify possible correlates between @entity3152 and medicines used by 92,235 pregnant Danish @entity1 who took part in the Danish National Birth Cohort (DNBC). We then evaluated the association between one of the identified exposures (vaccination) and the risk for @entity600 by using logistic regression. The @entity1 were classified into groups according to their exposure to vaccination. The regression analyses were adjusted for the following covariates: parity, @entity1 's gender, maternal Body-Mass Index (BMI), age, smoking, drinking, job, number of inhabitants in the place of residence, @entity281 , @entity6 , @entity101 and @entity1468 . MAIN OUTCOME MEASURE: Preterm birth, a delivery occurring before the 259th day of gestation (i.e., less than 37 full weeks). RESULTS: Data mining had indicated that maternal vaccination (among other factors) might be related to @entity600 . The following regression analysis showed that, the @entity1 who reported being vaccinated shortly before or during gestation had a slightly higher risk of giving @entity600 (O.R. = 1.14; 95% CI 1.04-1.25) as compared to the non-vaccinated group. CONCLUSION: Whether the association between maternal vaccination and the risk for @entity600 found here is causal or not deserves further studies. Data mining, especially with additional refinements, may be a valuable and very efficient tool to screen large databases for relevant information which can be used in clinical and public health research.

Maternal vaccination and XXXX : using data mining as a screening tool.

@entity1 :: ('9606', 'Species') :: ['women', 'infant'] @entity3152 :: ('MESH:D007752', 'Disease') :: ['preterm delivery'] @entity101 :: ('MESH:D006973', 'Disease') :: ['high blood pressure'] @entity6 :: ('MESH:D003920', 'Disease') :: ['diabetes'] @entity600 :: ('MESH:D000014', 'Disease') :: ['preterm birth'] @entity281 :: ('MESH:D007239', 'Disease') :: ['infections'] @entity1468 :: ('MESH:D011225', 'Disease') :: ['preeclampsia']
@entity600 :: (MESH:D000014,Disease) :: ['preterm birth']
