Simple cardiovascular risk stratification ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project
Author(s) :
Rosberg, Victoria [Auteur]
Nordsjællands Hospital [Hillerød, Denmark]
Vishram-Nielsen, Julie Kk [Auteur]
Rigshospitalet [Copenhagen]
Kristensen, Anna [Auteur]
Nordsjællands Hospital [Hillerød, Denmark]
Pareek, Manan [Auteur]
Nordsjællands Hospital [Hillerød, Denmark]
Sehested, Thomas S.G. [Auteur]
Roskilde Universitet [Roskilde]
Nilsson, Peter [Auteur]
Skane University Hospital [Malmo]
Linneberg, Allan [Auteur]
University of Copenhagen = Københavns Universitet [UCPH]
Palmieri, Luigi [Auteur]
Istituto Superiore di Sanità = National Institute of Health [ISS]
Giampaoli, Simona [Auteur]
Istituto Superiore di Sanità = National Institute of Health [ISS]
Donfrancesco, Chiara [Auteur]
Istituto Superiore di Sanità = National Institute of Health [ISS]
Kee, Frank [Auteur]
Queen's University [Belfast] [QUB]
Mancia, Giuseppe [Auteur]
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
Cesana, Giancarlo [Auteur]
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
Veronesi, Giovanni [Auteur]
Universitá degli Studi dell’Insubria = University of Insubria [Varese] [Uninsubria]
Grassi, Guido [Auteur]
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
Kuulasmaa, Kari [Auteur]
National Public Health Institute [Finland] [THL]
Salomaa, Veikko [Auteur]
National Public Health Institute [Finland] [THL]
Palosaari, Tarja [Auteur]
National Public Health Institute [Finland] [THL]
Sans, Susana [Auteur]
Ferrieres, Jean [Auteur]
Service Cardiologie [CHU Toulouse]
Dallongeville, Jean [Auteur]
Institut Pasteur de Lille
Söderberg, Stefan [Auteur]
Moitry, Marie [Auteur]
Drygas, Wojciech [Auteur]
National Institute of Cardiology [Warsaw, Poland] [NIC]
Tamosiunas, Abdonas [Auteur]
Peters, Annette [Auteur]
Institute of Epidemiology [Neuherberg] [EPI]
Brenner, Hermann [Auteur]
Schöttker, Ben [Auteur]
Grimsgaard, Sameline [Auteur]
Biering-Sørensen, Tor [Auteur]
Olsen, Michael [Auteur]
Nordsjællands Hospital [Hillerød, Denmark]
Vishram-Nielsen, Julie Kk [Auteur]
Rigshospitalet [Copenhagen]
Kristensen, Anna [Auteur]
Nordsjællands Hospital [Hillerød, Denmark]
Pareek, Manan [Auteur]
Nordsjællands Hospital [Hillerød, Denmark]
Sehested, Thomas S.G. [Auteur]
Roskilde Universitet [Roskilde]
Nilsson, Peter [Auteur]
Skane University Hospital [Malmo]
Linneberg, Allan [Auteur]
University of Copenhagen = Københavns Universitet [UCPH]
Palmieri, Luigi [Auteur]
Istituto Superiore di Sanità = National Institute of Health [ISS]
Giampaoli, Simona [Auteur]
Istituto Superiore di Sanità = National Institute of Health [ISS]
Donfrancesco, Chiara [Auteur]
Istituto Superiore di Sanità = National Institute of Health [ISS]
Kee, Frank [Auteur]
Queen's University [Belfast] [QUB]
Mancia, Giuseppe [Auteur]
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
Cesana, Giancarlo [Auteur]
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
Veronesi, Giovanni [Auteur]
Universitá degli Studi dell’Insubria = University of Insubria [Varese] [Uninsubria]
Grassi, Guido [Auteur]
Università degli Studi di Milano-Bicocca = University of Milano-Bicocca [UNIMIB]
Kuulasmaa, Kari [Auteur]
National Public Health Institute [Finland] [THL]
Salomaa, Veikko [Auteur]
National Public Health Institute [Finland] [THL]
Palosaari, Tarja [Auteur]
National Public Health Institute [Finland] [THL]
Sans, Susana [Auteur]
Ferrieres, Jean [Auteur]
Service Cardiologie [CHU Toulouse]
Dallongeville, Jean [Auteur]

Institut Pasteur de Lille
Söderberg, Stefan [Auteur]
Moitry, Marie [Auteur]
Drygas, Wojciech [Auteur]
National Institute of Cardiology [Warsaw, Poland] [NIC]
Tamosiunas, Abdonas [Auteur]
Peters, Annette [Auteur]
Institute of Epidemiology [Neuherberg] [EPI]
Brenner, Hermann [Auteur]
Schöttker, Ben [Auteur]
Grimsgaard, Sameline [Auteur]
Biering-Sørensen, Tor [Auteur]
Olsen, Michael [Auteur]
Journal title :
Preventive Medicine Reports
Pages :
101700
Publisher :
Elsevier
Publication date :
2022-01-27
ISSN :
2211-3355
English keyword(s) :
CEP
composite cardiovascular endpoint
CI
confidence interval
CV
cardiovascular
CVD
cardiovascular disease
CVM
cardiovascular mortality
Cardiovascular diseases
Chol
serum total cholesterol
Cholesterol
DBP
diastolic blood pressure
EFM
estimated fat mass
HDL-cholesterol
high density lipoprotein cholesterol
HR
hazard ratio
IQR
interquartile range
MACE
major adverse cardiovascular events
MBP
mean blood pressure
MONICA
Multi-national MONItoring of Trends and Determinants in CArdiovascular Disease
MORGAM
MOnica
Risk
Genetics
Archiving and Monograph
NRI
net reclassification improvement
NS
non-significant
PP
pulse pressure
SBP
systolic blood pressure
SCORE
Systematic COronary Risk Evaluation
WHR
waist-hip ratio
Waist-hip ratio
cNRI
continuous net reclassification improvement.
ACM
all-cause mortality
ASCVD
atherosclerotic cardiovascular disease
AUCROC
area under the receiver-operating-characteristic curve
Adipose tissue
Assessment
risk
BMI
body mass index
BP
blood pressure
Body mass index
composite cardiovascular endpoint
CI
confidence interval
CV
cardiovascular
CVD
cardiovascular disease
CVM
cardiovascular mortality
Cardiovascular diseases
Chol
serum total cholesterol
Cholesterol
DBP
diastolic blood pressure
EFM
estimated fat mass
HDL-cholesterol
high density lipoprotein cholesterol
HR
hazard ratio
IQR
interquartile range
MACE
major adverse cardiovascular events
MBP
mean blood pressure
MONICA
Multi-national MONItoring of Trends and Determinants in CArdiovascular Disease
MORGAM
MOnica
Risk
Genetics
Archiving and Monograph
NRI
net reclassification improvement
NS
non-significant
PP
pulse pressure
SBP
systolic blood pressure
SCORE
Systematic COronary Risk Evaluation
WHR
waist-hip ratio
Waist-hip ratio
cNRI
continuous net reclassification improvement.
ACM
all-cause mortality
ASCVD
atherosclerotic cardiovascular disease
AUCROC
area under the receiver-operating-characteristic curve
Adipose tissue
Assessment
risk
BMI
body mass index
BP
blood pressure
Body mass index
HAL domain(s) :
Sciences du Vivant [q-bio]/Santé publique et épidémiologie
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
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