Simple cardiovascular risk stratification ...
Type de document :
Compte-rendu et recension critique d'ouvrage
Titre :
Simple cardiovascular risk stratification by replacing total serum cholesterol with anthropometric measures: The MORGAM prospective cohort project
Auteur(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]
Titre de la revue :
Preventive Medicine Reports
Pagination :
101700
Éditeur :
Elsevier
Date de publication :
2022-01-27
ISSN :
2211-3355
Mot(s)-clé(s) en anglais :
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
Discipline(s) HAL :
Sciences du Vivant [q-bio]/Santé publique et épidémiologie
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Vulgarisation :
Non
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