TY - JOUR
T1 - Glycated hemoglobin measurement and prediction of cardiovascular disease
AU - The Emerging Risk Factors Collaboration
AU - Di Angelantonio, Emanuele
AU - Gao, Pei
AU - Khan, Hassan
AU - Butterworth, Adam S.
AU - Wormser, David
AU - Kaptoge, Stephen
AU - Kondapally Seshasai, Sreenivasa Rao
AU - Thompson, Alex
AU - Sarwar, Nadeem
AU - Willeit, Peter
AU - Ridker, Paul M.
AU - Barr, Elizabeth L.M.
AU - Khaw, Kay Tee
AU - Psaty, Bruce M.
AU - Brenner, Hermann
AU - Balkau, Beverley
AU - Dekker, Jacqueline M.
AU - Lawlor, Debbie A.
AU - Daimon, Makoto
AU - Willeit, Johann
AU - Njølstad, Inger
AU - Nissinen, Aulikki
AU - Brunner, Eric J.
AU - Kuller, Lewis H.
AU - Price, Jackie F.
AU - Sundström, Johan
AU - Knuiman, Matthew W.
AU - Feskens, Edith J.M.
AU - Verschuren, W. M.M.
AU - Wald, Nicholas
AU - Bakker, Stephan J.L.
AU - Whincup, Peter H.
AU - Ford, Ian
AU - Goldbourt, Uri
AU - Gómez-de-la-Cámara, Agustín
AU - Gallacher, John
AU - Simons, Leon A.
AU - Rosengren, Annika
AU - Sutherland, Susan E.
AU - Björkelund, Cecilia
AU - Blazer, Dan G.
AU - Wassertheil-Smoller, Sylvia
AU - Onat, Altan
AU - Marín Ibañez, Alejandro
AU - Casiglia, Edoardo
AU - Jukema, J. Wouter
AU - Simpson, Lara M.
AU - Giampaoli, Simona
AU - Nordestgaard, Børge G.
AU - Dankner, Rachel
N1 - Publisher Copyright:
© 2014 American Medical Association. All rights reserved.
PY - 2014/3/26
Y1 - 2014/3/26
N2 - IMPORTANCE The value of measuring levels of glycated hemoglobin (HbA1c) for the prediction of first cardiovascular events is uncertain. OBJECTIVE To determine whether adding information on HbA1c values to conventional cardiovascular risk factors is associated with improvement in prediction of cardiovascular disease (CVD) risk. DESIGN, SETTING, AND PARTICIPANTS Analysis of individual-participant data available from 73 prospective studies involving 294 998 participants without a known history of diabetes mellitus or CVD at the baseline assessment. MAIN OUTCOMES AND MEASURES Measures of risk discrimination for CVD outcomes (eg, C-index) and reclassification (eg, net reclassification improvement) of participants across predicted 10-year risk categories of low (<5%), intermediate (5%to <7.5%), and high (≥7.5%) risk. RESULTS During a median follow-up of 9.9 (interquartile range, 7.6-13.2) years, 20 840 incident fatal and nonfatal CVD outcomes (13 237 coronary heart disease and 7603 stroke outcomes) were recorded. In analyses adjusted for several conventional cardiovascular risk factors, there was an approximately J-shaped association between HbA1c values and CVD risk. The association between HbA1c values and CVD risk changed only slightly after adjustment for total cholesterol and triglyceride concentrations or estimated glomerular filtration rate, but this association attenuated somewhat after adjustment for concentrations of high-density lipoprotein cholesterol and C-reactive protein. The C-index for a CVD risk prediction model containing conventional cardiovascular risk factors alone was 0.7434 (95% CI, 0.7350 to 0.7517). The addition of information on HbA1c was associated with a C-index change of 0.0018 (0.0003 to 0.0033) and a net reclassification improvement of 0.42 (−0.63 to 1.48) for the categories of predicted 10-year CVD risk. The improvement provided by HbA1c assessment in prediction of CVD risk was equal to or better than estimated improvements for measurement of fasting, random, or postload plasma glucose levels. CONCLUSIONS AND RELEVANCE In a study of individuals without known CVD or diabetes, additional assessment of HbA1c values in the context of CVD risk assessment provided little incremental benefit for prediction of CVD risk.
AB - IMPORTANCE The value of measuring levels of glycated hemoglobin (HbA1c) for the prediction of first cardiovascular events is uncertain. OBJECTIVE To determine whether adding information on HbA1c values to conventional cardiovascular risk factors is associated with improvement in prediction of cardiovascular disease (CVD) risk. DESIGN, SETTING, AND PARTICIPANTS Analysis of individual-participant data available from 73 prospective studies involving 294 998 participants without a known history of diabetes mellitus or CVD at the baseline assessment. MAIN OUTCOMES AND MEASURES Measures of risk discrimination for CVD outcomes (eg, C-index) and reclassification (eg, net reclassification improvement) of participants across predicted 10-year risk categories of low (<5%), intermediate (5%to <7.5%), and high (≥7.5%) risk. RESULTS During a median follow-up of 9.9 (interquartile range, 7.6-13.2) years, 20 840 incident fatal and nonfatal CVD outcomes (13 237 coronary heart disease and 7603 stroke outcomes) were recorded. In analyses adjusted for several conventional cardiovascular risk factors, there was an approximately J-shaped association between HbA1c values and CVD risk. The association between HbA1c values and CVD risk changed only slightly after adjustment for total cholesterol and triglyceride concentrations or estimated glomerular filtration rate, but this association attenuated somewhat after adjustment for concentrations of high-density lipoprotein cholesterol and C-reactive protein. The C-index for a CVD risk prediction model containing conventional cardiovascular risk factors alone was 0.7434 (95% CI, 0.7350 to 0.7517). The addition of information on HbA1c was associated with a C-index change of 0.0018 (0.0003 to 0.0033) and a net reclassification improvement of 0.42 (−0.63 to 1.48) for the categories of predicted 10-year CVD risk. The improvement provided by HbA1c assessment in prediction of CVD risk was equal to or better than estimated improvements for measurement of fasting, random, or postload plasma glucose levels. CONCLUSIONS AND RELEVANCE In a study of individuals without known CVD or diabetes, additional assessment of HbA1c values in the context of CVD risk assessment provided little incremental benefit for prediction of CVD risk.
UR - http://www.scopus.com/inward/record.url?scp=84896675182&partnerID=8YFLogxK
U2 - 10.1001/jama.2014.1873
DO - 10.1001/jama.2014.1873
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C2 - 24668104
AN - SCOPUS:84896675182
SN - 0098-7484
VL - 311
SP - 1225
EP - 1233
JO - JAMA
JF - JAMA
IS - 12
ER -