Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium.
Journal
Lancet (London, England)
ISSN: 1474-547X
Titre abrégé: Lancet
Pays: England
ID NLM: 2985213R
Informations de publication
Date de publication:
14 12 2019
14 12 2019
Historique:
received:
18
07
2019
revised:
29
09
2019
accepted:
01
10
2019
pubmed:
8
12
2019
medline:
3
1
2020
entrez:
8
12
2019
Statut:
ppublish
Résumé
The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment. In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence of the coronary heart disease event or ischaemic stroke. Sex-specific multivariable analyses were computed using non-HDL cholesterol categories according to the European guideline thresholds, adjusted for age, sex, cohort, and classical modifiable cardiovascular risk factors. In a derivation and validation design, we created a tool to estimate the probabilities of a cardiovascular disease event by the age of 75 years, dependent on age, sex, and risk factors, and the associated modelled risk reduction, assuming a 50% reduction of non-HDL cholesterol. Of the 524 444 individuals in the 44 cohorts in the Consortium database, we identified 398 846 individuals belonging to 38 cohorts (184 055 [48·7%] women; median age 51·0 years [IQR 40·7-59·7]). 199 415 individuals were included in the derivation cohort (91 786 [48·4%] women) and 199 431 (92 269 [49·1%] women) in the validation cohort. During a maximum follow-up of 43·6 years (median 13·5 years, IQR 7·0-20·1), 54 542 cardiovascular endpoints occurred. Incidence curve analyses showed progressively higher 30-year cardiovascular disease event-rates for increasing non-HDL cholesterol categories (from 7·7% for non-HDL cholesterol <2·6 mmol/L to 33·7% for ≥5·7 mmol/L in women and from 12·8% to 43·6% in men; p<0·0001). Multivariable adjusted Cox models with non-HDL cholesterol lower than 2·6 mmol/L as reference showed an increase in the association between non-HDL cholesterol concentration and cardiovascular disease for both sexes (from hazard ratio 1·1, 95% CI 1·0-1·3 for non-HDL cholesterol 2·6 to <3·7 mmol/L to 1·9, 1·6-2·2 for ≥5·7 mmol/L in women and from 1·1, 1·0-1·3 to 2·3, 2·0-2·5 in men). The derived tool allowed the estimation of cardiovascular disease event probabilities specific for non-HDL cholesterol with high comparability between the derivation and validation cohorts as reflected by smooth calibration curves analyses and a root mean square error lower than 1% for the estimated probabilities of cardiovascular disease. A 50% reduction of non-HDL cholesterol concentrations was associated with reduced risk of a cardiovascular disease event by the age of 75 years, and this risk reduction was greater the earlier cholesterol concentrations were reduced. Non-HDL cholesterol concentrations in blood are strongly associated with long-term risk of atherosclerotic cardiovascular disease. We provide a simple tool for individual long-term risk assessment and the potential benefit of early lipid-lowering intervention. These data could be useful for physician-patient communication about primary prevention strategies. EU Framework Programme, UK Medical Research Council, and German Centre for Cardiovascular Research.
Sections du résumé
BACKGROUND
The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment.
METHODS
In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence of the coronary heart disease event or ischaemic stroke. Sex-specific multivariable analyses were computed using non-HDL cholesterol categories according to the European guideline thresholds, adjusted for age, sex, cohort, and classical modifiable cardiovascular risk factors. In a derivation and validation design, we created a tool to estimate the probabilities of a cardiovascular disease event by the age of 75 years, dependent on age, sex, and risk factors, and the associated modelled risk reduction, assuming a 50% reduction of non-HDL cholesterol.
FINDINGS
Of the 524 444 individuals in the 44 cohorts in the Consortium database, we identified 398 846 individuals belonging to 38 cohorts (184 055 [48·7%] women; median age 51·0 years [IQR 40·7-59·7]). 199 415 individuals were included in the derivation cohort (91 786 [48·4%] women) and 199 431 (92 269 [49·1%] women) in the validation cohort. During a maximum follow-up of 43·6 years (median 13·5 years, IQR 7·0-20·1), 54 542 cardiovascular endpoints occurred. Incidence curve analyses showed progressively higher 30-year cardiovascular disease event-rates for increasing non-HDL cholesterol categories (from 7·7% for non-HDL cholesterol <2·6 mmol/L to 33·7% for ≥5·7 mmol/L in women and from 12·8% to 43·6% in men; p<0·0001). Multivariable adjusted Cox models with non-HDL cholesterol lower than 2·6 mmol/L as reference showed an increase in the association between non-HDL cholesterol concentration and cardiovascular disease for both sexes (from hazard ratio 1·1, 95% CI 1·0-1·3 for non-HDL cholesterol 2·6 to <3·7 mmol/L to 1·9, 1·6-2·2 for ≥5·7 mmol/L in women and from 1·1, 1·0-1·3 to 2·3, 2·0-2·5 in men). The derived tool allowed the estimation of cardiovascular disease event probabilities specific for non-HDL cholesterol with high comparability between the derivation and validation cohorts as reflected by smooth calibration curves analyses and a root mean square error lower than 1% for the estimated probabilities of cardiovascular disease. A 50% reduction of non-HDL cholesterol concentrations was associated with reduced risk of a cardiovascular disease event by the age of 75 years, and this risk reduction was greater the earlier cholesterol concentrations were reduced.
INTERPRETATION
Non-HDL cholesterol concentrations in blood are strongly associated with long-term risk of atherosclerotic cardiovascular disease. We provide a simple tool for individual long-term risk assessment and the potential benefit of early lipid-lowering intervention. These data could be useful for physician-patient communication about primary prevention strategies.
FUNDING
EU Framework Programme, UK Medical Research Council, and German Centre for Cardiovascular Research.
Identifiants
pubmed: 31810609
pii: S0140-6736(19)32519-X
doi: 10.1016/S0140-6736(19)32519-X
pmc: PMC6913519
pii:
doi:
Substances chimiques
Cholesterol, LDL
0
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2173-2183Subventions
Organisme : Medical Research Council
ID : G0601463
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/K023241/1
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/13/16/30528
Pays : United Kingdom
Organisme : British Heart Foundation
ID : RG/19/4/34452
Pays : United Kingdom
Investigateurs
Tanja Zeller
(T)
Jukka Kontto
(J)
Satu Männistö
(S)
Andres Metspalu
(A)
Karl Lackner
(K)
Philipp Wild
(P)
Annette Peters
(A)
Christa Meisinger
(C)
Chiara Donfrancesco
(C)
Stefano G Signorini
(SG)
Maris Alver
(M)
Mark Woodward
(M)
Francesco Gianfagna
(F)
Simona Costanzo
(S)
Tom Wilsgaard
(T)
Mats Eliasson
(M)
Torben Jørgensen
(T)
Henry Völzke
(H)
Marcus Dörr
(M)
Matthias Nauck
(M)
Ben Schöttker
(B)
Thiess Lorenz
(T)
Nataliya Makarova
(N)
Raphael Twerenbold
(R)
Jean Dallongeville
(J)
Annette Dobson
(A)
Sofia Malyutina
(S)
Andrzej Pajak
(A)
Gunnar Engström
(G)
Martin Bobak
(M)
Börge Schmidt
(B)
Tuija Jääskeläinen
(T)
Teemu Niiranen
(T)
Pekka Jousilahti
(P)
Graham Giles
(G)
Allison Hodge
(A)
Jens Klotsche
(J)
Dianna J Magliano
(DJ)
Magnus N Lyngbakken
(MN)
Kristian Hveem
(K)
Christos Pitsavos
(C)
Emelia J Benjamin
(EJ)
Stephan J L Bakker
(SJL)
Peter Whincup
(P)
M Kamran Ikram
(MK)
Martin Ingelsson
(M)
Wolfgang Koenig
(W)
Commentaires et corrections
Type : CommentIn
Type : ErratumIn
Type : CommentIn
Type : ErratumIn
Informations de copyright
Copyright © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.
Références
Lancet. 2007 Dec 1;370(9602):1829-39
pubmed: 18061058
Int J Epidemiol. 2005 Feb;34(1):21-7
pubmed: 15561751
Am J Epidemiol. 2004 Sep 1;160(5):407-20
pubmed: 15321837
JAMA. 2016 Sep 27;316(12):1289-97
pubmed: 27673306
J Clin Epidemiol. 2010 Jan;63(1):46-55
pubmed: 19595575
Circulation. 2007 Oct 16;116(16):1832-44
pubmed: 17938300
N Engl J Med. 2017 May 4;376(18):1713-1722
pubmed: 28304224
Lancet. 2016 Nov 19;388(10059):2532-2561
pubmed: 27616593
J Am Coll Cardiol. 2014 Jul 1;63(25 Pt B):2935-2959
pubmed: 24239921
JAMA. 2005 Jul 20;294(3):326-33
pubmed: 16030277
Arterioscler Thromb Vasc Biol. 2007 Mar;27(3):661-70
pubmed: 17170368
Eur Heart J. 2017 Aug 21;38(32):2459-2472
pubmed: 28444290
J Am Heart Assoc. 2018 Oct 16;7(20):e009778
pubmed: 30371276
Circulation. 2009 Jun 23;119(24):3078-84
pubmed: 19506114
JAMA. 2009 Nov 11;302(18):1993-2000
pubmed: 19903920
Circulation. 2019 Jun 18;139(25):e1082-e1143
pubmed: 30586774
J Am Coll Cardiol. 2012 Dec 25;60(25):2631-9
pubmed: 23083789
Clin Chem. 1990 Jan;36(1):15-9
pubmed: 2297909
Eur Heart J. 2013 Dec;34(45):3478-90a
pubmed: 23956253
J Am Coll Cardiol. 2013 Aug 20;62(8):732-9
pubmed: 23524048
Eur Heart J. 2016 Jul 01;37(25):1985-92
pubmed: 26941200
PLoS One. 2008 Aug 20;3(8):e2986
pubmed: 18714375
Eur Heart J. 2016 Aug 1;37(29):2315-2381
pubmed: 27222591
Circulation. 2018 Nov 20;138(21):2315-2325
pubmed: 30571575
Eur Heart J. 2003 Jun;24(11):987-1003
pubmed: 12788299
J Am Coll Cardiol. 2019 Jul 9;74(1):70-79
pubmed: 31272554
Eur J Epidemiol. 2014 Oct;29(10):777-90
pubmed: 25238720
Circulation. 2005 Nov 29;112(22):3375-83
pubmed: 16316964
Eur Heart J. 2020 Jan 1;41(1):111-188
pubmed: 31504418
Stat Med. 2014 Aug 15;33(18):3191-203
pubmed: 24668611
BMJ. 2010 Dec 09;341:c6624
pubmed: 21148212
Ann Intern Med. 1979 Jan;90(1):85-91
pubmed: 217290
Circulation. 2015 Feb 3;131(5):451-8
pubmed: 25623155
Heart. 2019 Jul;105(13):975-981
pubmed: 30988003
J Cardiovasc Nurs. 2018 Nov/Dec;33(6):E17-E23
pubmed: 30273261
Circulation. 2010 Apr 20;121(15):1768-77
pubmed: 20404268
Lancet. 2010 Nov 13;376(9753):1670-81
pubmed: 21067804