<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors></authors><secondary-authors><author><style face="normal" font="default" size="100%">Leong, Tora</style></author><author><style face="normal" font="default" size="100%">Haffner, Steven M.</style></author></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Risk Assessment: Metabolic Syndrome and Obesity</style></title><secondary-title><style face="normal" font="default" size="100%">MD Conference Express</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2006</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2006-04-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">28-28</style></pages><abstract><style  face="normal" font="default" size="100%">Two presentations in a series on risk assessment in diabetes and metabolic syndrome (MetS) focused on data that strengthened the case for CVD risk prediction. Both presenters acknowledged the foundation provided by the landmark INTERHEART study which established the importance of 9 key risk factors in &gt;90% of acute myocardial infarction patients.</style></abstract><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">6</style></volume></record></records></xml>