新兴风险因素协作组：对104项心血管疾病前瞻性研究中超过110万名参与者的血脂、炎症及其他标志物的个体数据进行分析。
The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases.
作者信息
Danesh J, Erqou S, Walker M, Thompson S G, Tipping R, Ford C, Pressel S, Walldius G, Jungner I, Folsom A R, Chambless L E, Knuiman M, Whincup P H, Wannamethee S G, Morris R W, Willeit J, Kiechl S, Santer P, Mayr A, Wald N, Ebrahim S, Lawlor D A, Yarnell J W G, Gallacher J, Casiglia E, Tikhonoff V, Nietert P J, Sutherland S E, Bachman D L, Keil J E, Cushman M, Psaty B M, Tracy R P, Tybjaerg-Hansen A, Nordestgaard B G, Frikke-Schmidt R, Giampaoli S, Palmieri L, Panico S, Vanuzzo D, Pilotto L, Simons L, McCallum J, Friedlander Y, Fowkes F G R, Lee A J, Smith F B, Taylor J, Guralnik J, Phillips C, Wallace R, Blazer D, Khaw K T, Jansson J H, Donfrancesco C, Salomaa V, Harald K, Jousilahti P, Vartiainen E, Woodward M, D'Agostino R B, Wolf P A, Vasan R S, Pencina M J, Bladbjerg E M, Jorgensen T, Moller L, Jespersen J, Dankner R, Chetrit A, Lubin F, Rosengren A, Wilhelmsen L, Lappas G, Eriksson H, Bjorkelund C, Cremer P, Nagel D, Tilvis R, Strandberg T, Rodriguez B, Bouter L M, Heine R J, Dekker J M, Nijpels G, Stehouwer C D A, Rimm E, Pai J, Sato S, Iso H, Kitamura A, Noda H, Goldbourt U, Salomaa V, Salonen J T, Nyyssönen K, Tuomainen T-P, Deeg D, Poppelaars J L, Meade T, Cooper J, Hedblad B, Berglund G, Engstrom G, Döring A, Koenig W, Meisinger C, Mraz W, Kuller L, Selmer R, Tverdal A, Nystad W, Gillum R, Mussolino M, Hankinson S, Manson J, De Stavola B, Knottenbelt C, Cooper J A, Bauer K A, Rosenberg R D, Sato S, Naito Y, Holme I, Nakagawa H, Miura H, Ducimetiere P, Jouven X, Crespo C, Garcia-Palmieri M, Amouyel P, Arveiler D, Evans A, Ferrieres J, Schulte H, Assmann G, Shepherd J, Packard C, Sattar N, Cantin B, Lamarche B, Després J-P, Dagenais G R, Barrett-Connor E, Wingard D, Bettencourt R, Gudnason V, Aspelund T, Sigurdsson G, Thorsson B, Trevisan M, Witteman J, Kardys I, Breteler M, Hofman A, Tunstall-Pedoe H, Tavendale R, Lowe G D O, Ben-Shlomo Y, Howard B V, Zhang Y, Best L, Umans J, Onat A, Meade T W, Njolstad I, Mathiesen E, Lochen M L, Wilsgaard T, Gaziano J M, Stampfer M, Ridker P, Ulmer H, Diem G, Concin H, Rodeghiero F, Tosetto A, Brunner E, Shipley M, Buring J, Cobbe S M, Ford I, Robertson M, He Y, Ibanez A M, Feskens E J M, Kromhout D, Collins R, Di Angelantonio E, Kaptoge S, Lewington S, Orfei L, Pennells L, Perry P, Ray K, Sarwar N, Scherman M, Thompson A, Watson S, Wensley F, White I R, Wood A M
出版信息
Eur J Epidemiol. 2007;22(12):839-69. doi: 10.1007/s10654-007-9165-7. Epub 2007 Sep 18.
Many long-term prospective studies have reported on associations of cardiovascular diseases with circulating lipid markers and/or inflammatory markers. Studies have not, however, generally been designed to provide reliable estimates under different circumstances and to correct for within-person variability. The Emerging Risk Factors Collaboration has established a central database on over 1.1 million participants from 104 prospective population-based studies, in which subsets have information on lipid and inflammatory markers, other characteristics, as well as major cardiovascular morbidity and cause-specific mortality. Information on repeat measurements on relevant characteristics has been collected in approximately 340,000 participants to enable estimation of and correction for within-person variability. Re-analysis of individual data will yield up to approximately 69,000 incident fatal or nonfatal first ever major cardiovascular outcomes recorded during about 11.7 million person years at risk. The primary analyses will involve age-specific regression models in people without known baseline cardiovascular disease in relation to fatal or nonfatal first ever coronary heart disease outcomes. This initiative will characterize more precisely and in greater detail than has previously been possible the shape and strength of the age- and sex-specific associations of several lipid and inflammatory markers with incident coronary heart disease outcomes (and, secondarily, with other incident cardiovascular outcomes) under a wide range of circumstances. It will, therefore, help to determine to what extent such associations are independent from possible confounding factors and to what extent such markers (separately and in combination) provide incremental predictive value.
许多长期前瞻性研究报告了心血管疾病与循环脂质标志物和/或炎症标志物之间的关联。然而，这些研究通常并非旨在在不同情况下提供可靠的估计，并校正个体内部的变异性。新兴风险因素协作组建立了一个中央数据库，纳入了来自104项基于人群的前瞻性研究的110多万参与者，其中部分人群拥有脂质和炎症标志物、其他特征以及主要心血管疾病发病率和死因特异性死亡率的相关信息。已收集了约340,000名参与者的相关特征重复测量信息，以便估计和校正个体内部的变异性。对个体数据进行重新分析将得出在约1170万人年的风险期内记录的多达约69,000例首次发生的致命或非致命主要心血管结局。主要分析将涉及针对无已知基线心血管疾病的人群，建立年龄特异性回归模型，以研究首次发生的致命或非致命冠心病结局。该项目将比以往更精确、更详细地描述在广泛情况下，几种脂质和炎症标志物与首次发生的冠心病结局（其次是与其他首次发生的心血管结局）的年龄和性别特异性关联的形式和强度。因此，它将有助于确定这些关联在多大程度上独立于可能的混杂因素，以及这些标志物（单独和联合使用）在多大程度上提供额外的预测价值。
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