Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium.
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| Title: | Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium. |
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| Authors: | Brunner, Fabian J (AUTHOR), Waldeyer, Christoph (AUTHOR), Ojeda, Francisco (AUTHOR), Salomaa, Veikko (AUTHOR), Kee, Frank (AUTHOR), Sans, Susana (AUTHOR), Thorand, Barbara (AUTHOR), Giampaoli, Simona (AUTHOR), Brambilla, Paolo (AUTHOR), Tunstall-Pedoe, Hugh (AUTHOR), Moitry, Marie (AUTHOR), Iacoviello, Licia (AUTHOR), Veronesi, Giovanni (AUTHOR), Grassi, Guido (AUTHOR), Mathiesen, Ellisiv B (AUTHOR), Söderberg, Stefan (AUTHOR), Linneberg, Allan (AUTHOR), Brenner, Hermann (AUTHOR), Amouyel, Philippe (AUTHOR), Ferrières, Jean (AUTHOR) |
| Source: | Lancet. 12/14/2019, Vol. 395 Issue 10215, p2173-2183. 11p. |
| Subjects: | Cardiovascular diseases, Comparative studies, Low density lipoproteins, Research methodology, Medical cooperation, Research, Risk assessment, Evaluation research |
| Geographic Terms: | Australia, Europe, United States |
| Abstract: | |
| Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Psychology and Behavioral Sciences Collection |
| FullText | Text: Availability: 0 |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 141118426 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Brunner%2C+Fabian+J%22">Brunner, Fabian J</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Waldeyer%2C+Christoph%22">Waldeyer, Christoph</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ojeda%2C+Francisco%22">Ojeda, Francisco</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Salomaa%2C+Veikko%22">Salomaa, Veikko</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kee%2C+Frank%22">Kee, Frank</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sans%2C+Susana%22">Sans, Susana</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Thorand%2C+Barbara%22">Thorand, Barbara</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Giampaoli%2C+Simona%22">Giampaoli, Simona</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brambilla%2C+Paolo%22">Brambilla, Paolo</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tunstall-Pedoe%2C+Hugh%22">Tunstall-Pedoe, Hugh</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moitry%2C+Marie%22">Moitry, Marie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Iacoviello%2C+Licia%22">Iacoviello, Licia</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Veronesi%2C+Giovanni%22">Veronesi, Giovanni</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grassi%2C+Guido%22">Grassi, Guido</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mathiesen%2C+Ellisiv+B%22">Mathiesen, Ellisiv B</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Söderberg%2C+Stefan%22">Söderberg, Stefan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Linneberg%2C+Allan%22">Linneberg, Allan</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Brenner%2C+Hermann%22">Brenner, Hermann</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Amouyel%2C+Philippe%22">Amouyel, Philippe</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ferrières%2C+Jean%22">Ferrières, Jean</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Lancet%22">Lancet</searchLink>. 12/14/2019, Vol. 395 Issue 10215, p2173-2183. 11p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Cardiovascular+diseases%22">Cardiovascular diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Comparative+studies%22">Comparative studies</searchLink><br /><searchLink fieldCode="DE" term="%22Low+density+lipoproteins%22">Low density lipoproteins</searchLink><br /><searchLink fieldCode="DE" term="%22Research+methodology%22">Research methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+cooperation%22">Medical cooperation</searchLink><br /><searchLink fieldCode="DE" term="%22Research%22">Research</searchLink><br /><searchLink fieldCode="DE" term="%22Risk+assessment%22">Risk assessment</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+research%22">Evaluation research</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Australia%22">Australia</searchLink><br /><searchLink fieldCode="DE" term="%22Europe%22">Europe</searchLink><br /><searchLink fieldCode="DE" term="%22United+States%22">United States</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: <bold>Background: </bold>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.<bold>Methods: </bold>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.<bold>Findings: </bold>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.<bold>Interpretation: </bold>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.<bold>Funding: </bold>EU Framework Programme, UK Medical Research Council, and German Centre for Cardiovascular Research. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Lancet is the property of Lancet and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/S0140-6736(19)32519-X Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 2173 Subjects: – SubjectFull: Cardiovascular diseases Type: general – SubjectFull: Comparative studies Type: general – SubjectFull: Low density lipoproteins Type: general – SubjectFull: Research methodology Type: general – SubjectFull: Medical cooperation Type: general – SubjectFull: Research Type: general – SubjectFull: Risk assessment Type: general – SubjectFull: Evaluation research Type: general – SubjectFull: Australia Type: general – SubjectFull: Europe Type: general – SubjectFull: United States Type: general Titles: – TitleFull: Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Brunner, Fabian J – PersonEntity: Name: NameFull: Waldeyer, Christoph – PersonEntity: Name: NameFull: Ojeda, Francisco – PersonEntity: Name: NameFull: Salomaa, Veikko – PersonEntity: Name: NameFull: Kee, Frank – PersonEntity: Name: NameFull: Sans, Susana – PersonEntity: Name: NameFull: Thorand, Barbara – PersonEntity: Name: NameFull: Giampaoli, Simona – PersonEntity: Name: NameFull: Brambilla, Paolo – PersonEntity: Name: NameFull: Tunstall-Pedoe, Hugh – PersonEntity: Name: NameFull: Moitry, Marie – PersonEntity: Name: NameFull: Iacoviello, Licia – PersonEntity: Name: NameFull: Veronesi, Giovanni – PersonEntity: Name: NameFull: Grassi, Guido – PersonEntity: Name: NameFull: Mathiesen, Ellisiv B – PersonEntity: Name: NameFull: Söderberg, Stefan – PersonEntity: Name: NameFull: Linneberg, Allan – PersonEntity: Name: NameFull: Brenner, Hermann – PersonEntity: Name: NameFull: Amouyel, Philippe – PersonEntity: Name: NameFull: Ferrières, Jean IsPartOfRelationships: – BibEntity: Dates: – D: 14 M: 12 Text: 12/14/2019 Type: published Y: 2019 Identifiers: – Type: issn-print Value: 01406736 Numbering: – Type: volume Value: 395 – Type: issue Value: 10215 Titles: – TitleFull: Lancet Type: main |
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