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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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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spelling 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
institution WUR NL
collection DSpace
country Países bajos
countrycode NL
component Bibliográfico
access En linea
databasecode dig-wur-nl
tag biblioteca
region Europa del Oeste
libraryname WUR Library Netherlands
language English
topic 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
spellingShingle 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
description (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.
author_sort 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
url https://research.wur.nl/en/publications/glycated-hemoglobin-measurement-and-prediction-of-cardiovascular-
work_keys_str_mv AT diangelantonioe glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease
AT gaop glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease
AT khanh glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease
AT feskensejm glycatedhemoglobinmeasurementandpredictionofcardiovasculardisease
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