TY - JOUR
T1 - Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures
T2 - The MORGAM prospective cohort project
AU - Rosberg, Victoria
AU - Vishram-Nielsen, Julie KK
AU - Kristensen, Anna M Dyrvig
AU - Pareek, Manan
AU - Sehested, Thomas S G
AU - Nilsson, Peter M
AU - Linneberg, Allan
AU - Palmieri, Luigi
AU - Giampaoli, Simona
AU - Donfrancesco, Chiara
AU - Kee, Frank
AU - Mancia, Giuseppe
AU - Cesana, Giancarlo
AU - Veronesi, Giovanni
AU - Grassi, Guido
AU - Kuulasmaa, Kari
AU - Salomaa, Veikko
AU - Palosaari, Tarja
AU - Sans, Susana
AU - Ferrieres, Jean
AU - Dallongeville, Jean
AU - Söderberg, Stefan
AU - Moitry, Marie
AU - Drygas, Wojciech
AU - Tamosiunas, Abdonas
AU - Peters, Annette
AU - Brenner, Hermann
AU - Schöttker, Ben
AU - Grimsgaard, Sameline
AU - Biering-Sørensen, Tor
AU - Olsen, Michael H
N1 - © 2022 The Author(s).
PY - 2022/4
Y1 - 2022/4
N2 - 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.
AB - 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.
U2 - 10.1016/j.pmedr.2022.101700
DO - 10.1016/j.pmedr.2022.101700
M3 - Article
C2 - 35141116
SN - 2211-3355
VL - 26
JO - Preventive Medicine Reports
JF - Preventive Medicine Reports
M1 - 101700
ER -