TY - JOUR
T1 - Lipid-Related Markers and Cardiovascular Disease Prediction
AU - AUTHOR GROUP
AU - Di Angelantonio, Emanuele
AU - Gao, Pei
AU - Pennells, Lisa
AU - Kaptoge, Stephen
AU - Caslake, Muriel
AU - Thompson, Alexander
AU - Butterworth, Adam S.
AU - Sarwar, Nadeem
AU - Wormser, David
AU - Saleheen, Danish
AU - Ballantyne, Christie M.
AU - Psaty, Bruce M.
AU - Sundström, Johan
AU - Ridker, Paul M.
AU - Nagel, Dorothea
AU - Gillum, Richard F.
AU - Ford, Ian
AU - Ducimetiere, Pierre
AU - Kiechl, Stefan
AU - Koenig, Wolfgang
AU - Dullaart, Robin P. F.
AU - Assmann, Gerd
AU - D'Agostino, Ralph B.
AU - Dagenais, Gilles R.
AU - Cooper, Jackie A.
AU - Kromhout, Daan
AU - Onat, Altan
AU - Tipping, Robert W.
AU - Gómez-de-la-Cámara, Agustín
AU - Rosengren, Annika
AU - Sutherland, Susan E.
AU - Gallacher, John
AU - Fowkes, F. Gerry R.
AU - Casiglia, Edoardo
AU - Hofman, Albert
AU - Salomaa, Veikko
AU - Barrett-Connor, Elizabeth
AU - Clarke, Robert
AU - Brunner, Eric
AU - Jukema, J. Wouter
AU - Simons, Leon A.
AU - Sandhu, Manjinder
AU - Wareham, Nicholas J.
AU - Khaw, Kay-Tee
AU - Kauhanen, Jussi
AU - Salonen, Jukka T.
AU - Howard, William J.
AU - Nordestgaard, Børge G.
AU - Wood, Angela M.
AU - Boekholdt, S. Matthijs
PY - 2012
Y1 - 2012
N2 - Context The value of assessing various emerging lipid-related markers for prediction of first cardiovascular events is debated. Objective To determine whether adding information on apolipoprotein B and apolipoprotein A-I, lipoprotein(a), or lipoprotein-associated phospholipase A(2) to total cholesterol and high-density lipoprotein cholesterol (HDL-C) improves cardiovascular disease (CVD) risk prediction. Design, Setting, and Participants Individual records were available for 165 544 participants without baseline CVD in 37 prospective cohorts (calendar years of recruitment: 1968-2007) with up to 15 126 incident fatal or nonfatal CVD outcomes (10 132 CHD and 4994 stroke outcomes) during a median follow-up of 10.4 years (interquartile range, 7.6-14 years). Main Outcome Measures Discrimination of CVD outcomes and reclassification of participants across predicted 10-year risk categories of low ( <10%), intermediate (10%- <20%), and high (>= 20%) risk. Results The addition of information on various lipid-related markers to total cholesterol, HDL-C, and other conventional risk factors yielded improvement in the model's discrimination: C-index change, 0.0006 (95% CI, 0.0002-0.0009) for the combination of apolipoprotein B and A-I; 0.0016 (95% CI, 0.0009-0.0023) for lipoprotein(a); and 0.0018 (95% CI, 0.0010-0.0026) for lipoprotein-associated phospholipase A(2) mass. Net reclassification improvements were less than 1% with the addition of each of these markers to risk scores containing conventional risk factors. We estimated that for 100 000 adults aged 40 years or older, 15 436 would be initially classified at intermediate risk using conventional risk factors alone. Additional testing with a combination of apolipoprotein B and A-I would reclassify 1.1%; lipoprotein(a), 4.1%; and lipoprotein-associated phospholipase A(2) mass, 2.7% of people to a 20% or higher predicted CVD risk category and, therefore, in need of statin treatment under Adult Treatment Panel III guidelines. Conclusion In a study of individuals without known CVD, the addition of information on the combination of apolipoprotein B and A-I, lipoprotein(a), or lipoprotein-associated phospholipase A(2) mass to risk scores containing total cholesterol and HDL-C led to slight improvement in CVD prediction. JAMA. 2012; 307(23):2499-2506 www.jama.com
AB - Context The value of assessing various emerging lipid-related markers for prediction of first cardiovascular events is debated. Objective To determine whether adding information on apolipoprotein B and apolipoprotein A-I, lipoprotein(a), or lipoprotein-associated phospholipase A(2) to total cholesterol and high-density lipoprotein cholesterol (HDL-C) improves cardiovascular disease (CVD) risk prediction. Design, Setting, and Participants Individual records were available for 165 544 participants without baseline CVD in 37 prospective cohorts (calendar years of recruitment: 1968-2007) with up to 15 126 incident fatal or nonfatal CVD outcomes (10 132 CHD and 4994 stroke outcomes) during a median follow-up of 10.4 years (interquartile range, 7.6-14 years). Main Outcome Measures Discrimination of CVD outcomes and reclassification of participants across predicted 10-year risk categories of low ( <10%), intermediate (10%- <20%), and high (>= 20%) risk. Results The addition of information on various lipid-related markers to total cholesterol, HDL-C, and other conventional risk factors yielded improvement in the model's discrimination: C-index change, 0.0006 (95% CI, 0.0002-0.0009) for the combination of apolipoprotein B and A-I; 0.0016 (95% CI, 0.0009-0.0023) for lipoprotein(a); and 0.0018 (95% CI, 0.0010-0.0026) for lipoprotein-associated phospholipase A(2) mass. Net reclassification improvements were less than 1% with the addition of each of these markers to risk scores containing conventional risk factors. We estimated that for 100 000 adults aged 40 years or older, 15 436 would be initially classified at intermediate risk using conventional risk factors alone. Additional testing with a combination of apolipoprotein B and A-I would reclassify 1.1%; lipoprotein(a), 4.1%; and lipoprotein-associated phospholipase A(2) mass, 2.7% of people to a 20% or higher predicted CVD risk category and, therefore, in need of statin treatment under Adult Treatment Panel III guidelines. Conclusion In a study of individuals without known CVD, the addition of information on the combination of apolipoprotein B and A-I, lipoprotein(a), or lipoprotein-associated phospholipase A(2) mass to risk scores containing total cholesterol and HDL-C led to slight improvement in CVD prediction. JAMA. 2012; 307(23):2499-2506 www.jama.com
U2 - https://doi.org/10.1001/jama.2012.6571
DO - https://doi.org/10.1001/jama.2012.6571
M3 - Article
C2 - 22797450
SN - 0098-7484
VL - 307
SP - 2499
EP - 2506
JO - JAMA
JF - JAMA
IS - 23
ER -