Ontology highlight
ABSTRACT:
SUBMITTER: Paige E
PROVIDER: S-EPMC5860526 | biostudies-literature | 2017 Oct
REPOSITORIES: biostudies-literature
Paige Ellie E Barrett Jessica J Pennells Lisa L Sweeting Michael M Willeit Peter P Di Angelantonio Emanuele E Gudnason Vilmundur V Nordestgaard Børge G BG Psaty Bruce M BM Goldbourt Uri U Best Lyle G LG Assmann Gerd G Salonen Jukka T JT Nietert Paul J PJ Verschuren W M Monique WMM Brunner Eric J EJ Kronmal Richard A RA Salomaa Veikko V Bakker Stephan J L SJL Dagenais Gilles R GR Sato Shinichi S Jansson Jan-Håkan JH Willeit Johann J Onat Altan A de la Cámara Agustin Gómez AG Roussel Ronan R Völzke Henry H Dankner Rachel R Tipping Robert W RW Meade Tom W TW Donfrancesco Chiara C Kuller Lewis H LH Peters Annette A Gallacher John J Kromhout Daan D Iso Hiroyasu H Knuiman Matthew M Casiglia Edoardo E Kavousi Maryam M Palmieri Luigi L Sundström Johan J Davis Barry R BR Njølstad Inger I Couper David D Danesh John J Thompson Simon G SG Wood Angela A
American journal of epidemiology 20171001 8
The added value of incorporating information from repeated blood pressure and cholesterol measurements to predict cardiovascular disease (CVD) risk has not been rigorously assessed. We used data on 191,445 adults from the Emerging Risk Factors Collaboration (38 cohorts from 17 countries with data encompassing 1962-2014) with more than 1 million measurements of systolic blood pressure, total cholesterol, and high-density lipoprotein cholesterol. Over a median 12 years of follow-up, 21,170 CVD eve ...[more]