Show simple item record

dc.contributor.authorRosberg, Victoria
dc.contributor.authorVishram-Nielsen, Julie KK
dc.contributor.authorKristensen, Anna M. Dyrvig
dc.contributor.authorPareek, Manan
dc.contributor.authorSehested, Thomas S.G.
dc.contributor.authorNilsson, Peter M
dc.contributor.authorLinneberg, Allan
dc.contributor.authorPalmieri, Luigi
dc.contributor.authorGiampaoli, Simona
dc.contributor.authorDonfrancesco, Chiara
dc.contributor.authorKee, Frank
dc.contributor.authorMancia, Giuseppe
dc.contributor.authorCesana, Giancarlo
dc.contributor.authorVeronesi, Giovanni
dc.contributor.authorGrassi, Guido
dc.contributor.authorKuulasmaa, Kari
dc.contributor.authorSalomaa, Veikko
dc.contributor.authorPalosaari, Tarja
dc.contributor.authorSans, Susana
dc.contributor.authorFerrieres, Jean
dc.contributor.authorDallongeville, Jean
dc.contributor.authorSöderberg, Stefan
dc.contributor.authorMoitry, Marie
dc.contributor.authorDrygas, Wojciech
dc.contributor.authorTamosiunas, Abdonas
dc.contributor.authorPeters, Annette
dc.contributor.authorBrenner, Hermann
dc.contributor.authorSchöttker, Ben
dc.contributor.authorGrimsgaard, Sameline
dc.contributor.authorBiering-Sørensen, Tor
dc.contributor.authorOlsen, Michael H
dc.date.accessioned2022-09-05T11:45:39Z
dc.date.available2022-09-05T11:45:39Z
dc.date.issued2022-01-27
dc.description.abstractTo assess whether anthropometric measures (body mass index [BMI], waist-hip ratio [WHR], and estimated fat mass [EFM]) are independently associated with major adverse cardiovascular events (MACE), and to assess their added prognostic value compared with serum total-cholesterol. The study population comprised 109,509 individuals (53% men) from the MORGAM-Project, aged 19–97 years, without established cardiovascular disease, and not on antihypertensive treatment. While BMI was reported in all, WHR and EFM were reported in ~52,000 participants. Prognostic importance of anthropometric measurements and total-cholesterol was evaluated using adjusted Cox proportional-hazards regression, logistic regression, area under the receiver-operatingcharacteristic curve (AUCROC), and net reclassification improvement (NRI). The primary endpoint was MACE, a composite of stroke, myocardial infarction, or death from coronary heart disease. Age interacted significantly with anthropometric measures and total-cholesterol on MACE (P ≤ 0.003), and therefore age-stratified analyses (<50 versus ≥ 50 years) were performed. BMI, WHR, EFM, and total-cholesterol were independently associated with MACE (P ≤ 0.003) and resulted in significantly positive NRI when added to age, sex, smoking status, and systolic blood pressure. Only total-cholesterol increased discrimination ability (AUCROC difference; P < 0.001). In subjects < 50 years, the prediction model with total-cholesterol was superior to the model including BMI, but not superior to models containing WHR or EFM, while in those ≥ 50 years, the model with total-cholesterol was superior to all models containing anthropometric variables, whether assessed individually or combined. We found a potential role for replacing total-cholesterol with anthropometric measures for MACE-prediction among individuals < 50 years when laboratory measurements are unavailable, but not among those ≥ 50 years.en_US
dc.identifier.citationRosberg, Vishram-Nielsen, Kristensen, Pareek, Sehested, Nilsson, Linneberg, Palmieri, Giampaoli, Donfrancesco, Kee, Mancia, Cesana, Veronesi, Grassi, Kuulasmaa, Salomaa, Palosaari, Sans, Ferrieres, Dallongeville, Söderberg, Moitry, Drygas, Tamosiunas, Peters, Brenner, Schöttker, Grimsgaard, Biering-Sørensen, Olsen. Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project. Preventive Medicine Reports. 2022;26en_US
dc.identifier.cristinIDFRIDAID 2025232
dc.identifier.doi10.1016/j.pmedr.2022.101700
dc.identifier.issn2211-3355
dc.identifier.urihttps://hdl.handle.net/10037/26640
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalPreventive Medicine Reports
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP5-LIFE QUALITY/QLG2-CT-2002-01254/EU/Genome-wide analyses of european twin and population cohorts to identify genes in common diseases/GENOMEUTWIN/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7-HEALTH/201413/EU/European Network for Genetic and Genomic Epidemiology/ENGAGE/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7-HEALTH/242244/EU/Consortium on Health and Ageing: Network of Cohorts in Europe and the United States/CHANGES/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7-HEALTH/278913/EU/Biomarker for Cardiovascular Risk Assessment in Europe/BIOMARCARE/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/SOCIETAL CHALLENGES/825903/EU/An EU-Canada joint infrastructure for next-generation multi-Study Heart research/euCanSHare/en_US
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/SOCIETAL CHALLENGES/847770/EU/DIGITAL, RISK-BASED SCREENING FOR ATRIAL FIBRILLATION IN THE EUROPEAN COMMUNITY/AFFECT-EU/en_US
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2022 The Author(s)en_US
dc.titleSimple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort projecten_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


File(s) in this item

Thumbnail

This item appears in the following collection(s)

Show simple item record