Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project

To 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...

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Published inPreventive medicine reports Vol. 26; p. 101700
Main Authors Rosberg, Victoria, Vishram-Nielsen, Julie KK, Kristensen, Anna M. Dyrvig, Pareek, Manan, Sehested, Thomas S.G., Nilsson, Peter M, Linneberg, Allan, Palmieri, Luigi, Giampaoli, Simona, Donfrancesco, Chiara, Kee, Frank, Mancia, Giuseppe, Cesana, Giancarlo, Veronesi, Giovanni, Grassi, Guido, Kuulasmaa, Kari, Salomaa, Veikko, Palosaari, Tarja, Sans, Susana, Ferrieres, Jean, Dallongeville, Jean, Söderberg, Stefan, Moitry, Marie, Drygas, Wojciech, Tamosiunas, Abdonas, Peters, Annette, Brenner, Hermann, Schöttker, Ben, Grimsgaard, Sameline, Biering-Sørensen, Tor, Olsen, Michael H
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.04.2022
Elsevier
Subjects
PP
NRI
NS
HR
EFM
BP
DBP
MBP
BMI
SBP
WHR
CI
ACM
IQR
CEP
CVD
CV
CVM
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Summary:To 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-operating-characteristic 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.
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Preventive Medicine Reports
Equal contribution as co-first authors.
ISSN:2211-3355
2211-3355
DOI:10.1016/j.pmedr.2022.101700