Application of newer technologies for the prediction and prevention of preterm birth

Abstract

<p>With an annual economic burden to society exceeding $25 billion and a 12.7% prevalence rate in the United States, preterm birth remains one of the leading factors contributing to perinatal mortality and morbidity. While obstetric care has been improving over the last decade, preterm birth rates have continued to rise. Current technologies for the assessment of risk associated with preterm birth include biophysical and biochemical factors, as well as demographic and socioeconomic factors. However, a comprehensive database encompassing all of these factors does not exist. By combining currently measureable factors with measurements from newer technologies, a better model for the assessment of risk as well as prediction of preterm birth can be achieved. Furthermore, it may provide insight regarding the underlying mechanisms associated with preterm birth, while simultaneously alleviating the economic burden and removing disparities in the rate of preterm birth among different populations of women.</p><p>This presentation occurred at the Wright State University Campus-Wide Celebration of Research, Scholarship and Creative Activities on April 16, 2010</p>