2 results match your criteria: "MA ‡Center for Public Health Research (CSISP-FISABIO[Affiliation]"
Prenatal exposure to mixtures of xenoestrogens and repetitive element DNA methylation changes in human placenta.
Environ Int
October 2014
Laboratory of Environmental Epigenetics, Exposure Epidemiology and Risk Program, Department of Environmental Health, Harvard School of Public Health, Boston, MA, USA.
Background: Prenatal exposure to endocrine disrupting compounds (EDCs) has previously shown to alter epigenetic marks.
Objectives: In this work we explore whether prenatal exposure to mixtures of xenoestrogens has the potential to alter the placenta epigenome, by studying DNA methylation in retrotransposons as a surrogate of global DNA methylation.
Methods: The biomarker total effective xenoestrogen burden (TEXB) was measured in 192 placentas from participants in the longitudinal INMA Project.
Did HEDIS get it right? Evaluating the quality of a quality measure: adherence to β-blockers and cardiovascular outcomes after myocardial infarction.
Med Care
July 2014
*Department of Medicine, Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women's Hospital and Harvard Medical School †Department of Epidemiology, Harvard School of Public Health, Boston, MA ‡Center for Public Health Research (CSISP-FISABIO, REDISSEC), Valencia, Spain §Aetna, Hartford, CT ∥CVS Caremark, Wooksocket, RI.
Background: As an example of the process that could be used to evaluate and optimize the performance of quality measures in routine practice, we evaluated whether the Healthcare Effectiveness Data and Information Set (HEDIS) measure assessing the "persistence of β-blocker treatment after a heart attack" correlates with post-myocardial infarction (MI) outcomes and whether or not there are alternative specifications of this construct which are better predictors and/or may be more easily applied.
Research Design: The study included a retrospective cohort of 8672 post-MI patients 18 years old and above. We assessed the strength of the association between the different adherence measures and the composite clinical outcome using multivariable Cox models.