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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Bibliographic Details
Main Authors: Di Angelantonio, E., Gao, P., Khan, H., Feskens, E.J.M.
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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Summary:(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 (