Glycated hemoglobin measurement and prediction of cardiovascular disease
(For a complete list of authors see The Emerging Risk Factors Collaboration in the Article Information) 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 (
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Format: | Article/Letter to editor biblioteca |
Language: | English |
Subjects: | adults, diabetes-mellitus, glucose, guidelines, metaanalysis, mortality, risk score, statistical-methods, task-force, |
Online Access: | https://research.wur.nl/en/publications/glycated-hemoglobin-measurement-and-prediction-of-cardiovascular- |
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dig-wur-nl-wurpubs-4548062024-12-04 Di Angelantonio, E. Gao, P. Khan, H. Feskens, E.J.M. Article/Letter to editor JAMA: The Journal of the American Medical Association 311 (2014) 12 ISSN: 0098-7484 Glycated hemoglobin measurement and prediction of cardiovascular disease 2014 (For a complete list of authors see The Emerging Risk Factors Collaboration in the Article Information) 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 ( en application/pdf https://research.wur.nl/en/publications/glycated-hemoglobin-measurement-and-prediction-of-cardiovascular- 10.1001/jama.2014.1873 https://edepot.wur.nl/307408 adults diabetes-mellitus glucose guidelines metaanalysis mortality risk score statistical-methods task-force (c) publisher Wageningen University & Research |
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adults diabetes-mellitus glucose guidelines metaanalysis mortality risk score statistical-methods task-force adults diabetes-mellitus glucose guidelines metaanalysis mortality risk score statistical-methods task-force |
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adults diabetes-mellitus glucose guidelines metaanalysis mortality risk score statistical-methods task-force adults diabetes-mellitus glucose guidelines metaanalysis mortality risk score statistical-methods task-force Di Angelantonio, E. Gao, P. Khan, H. Feskens, E.J.M. Glycated hemoglobin measurement and prediction of cardiovascular disease |
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(For a complete list of authors see The Emerging Risk Factors Collaboration in the Article Information) 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 ( |
format |
Article/Letter to editor |
topic_facet |
adults diabetes-mellitus glucose guidelines metaanalysis mortality risk score statistical-methods task-force |
author |
Di Angelantonio, E. Gao, P. Khan, H. Feskens, E.J.M. |
author_facet |
Di Angelantonio, E. Gao, P. Khan, H. Feskens, E.J.M. |
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Di Angelantonio, E. |
title |
Glycated hemoglobin measurement and prediction of cardiovascular disease |
title_short |
Glycated hemoglobin measurement and prediction of cardiovascular disease |
title_full |
Glycated hemoglobin measurement and prediction of cardiovascular disease |
title_fullStr |
Glycated hemoglobin measurement and prediction of cardiovascular disease |
title_full_unstemmed |
Glycated hemoglobin measurement and prediction of cardiovascular disease |
title_sort |
glycated hemoglobin measurement and prediction of cardiovascular disease |
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https://research.wur.nl/en/publications/glycated-hemoglobin-measurement-and-prediction-of-cardiovascular- |
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AT diangelantonioe glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease AT gaop glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease AT khanh glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease AT feskensejm glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease |
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1819148577804386304 |