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Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations

The American College of Cardiology/American Heart Association developed Pooled Cohort equations to estimate atherosclerotic cardiovascular disease (ASCVD) risk. It is unclear how well the equations predict ASCVD mortality in a nationally representative cohort. We used the National Health and Nutriti...

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Autores principales: Zhang, Zefeng, Gillespie, Cathleen, Bowman, Barbara, Yang, Quanhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398528/
https://www.ncbi.nlm.nih.gov/pubmed/28426694
http://dx.doi.org/10.1371/journal.pone.0175822
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author Zhang, Zefeng
Gillespie, Cathleen
Bowman, Barbara
Yang, Quanhe
author_facet Zhang, Zefeng
Gillespie, Cathleen
Bowman, Barbara
Yang, Quanhe
author_sort Zhang, Zefeng
collection PubMed
description The American College of Cardiology/American Heart Association developed Pooled Cohort equations to estimate atherosclerotic cardiovascular disease (ASCVD) risk. It is unclear how well the equations predict ASCVD mortality in a nationally representative cohort. We used the National Health and Nutrition Examination Survey (NHANES) 1988–1994 and Linked Mortality through 2006 (n = 6,644). Among participants aged 40–79 years without ASCVD at baseline, we used Cox proportional hazard models to estimate the 10-year probability of ASCVD death by sex and race-ethnicity (non-Hispanic white (NHW), non-Hispanic black (NHB) and Mexican American (MA)). We estimated the discrimination and calibration for each sex-race-ethnicity model. We documented 288 ASCVD deaths during 62,335 person years. The Pooled Cohort equations demonstrated moderate to good discrimination for ASCVD mortality, with modified C-statistics of 0.716 (95% CI 0.663–0.770), 0.794 (0.734–0.854), and 0.733 (0.654–0.811) for NHW, NHB and MA men, respectively. The corresponding C-statistics for women were 0.781 (0.718–0.844), 0.702 (0.633–0.771), and 0.789 (CI 0.721–0.857). Modified Hosmer-Lemeshow χ(2) suggested adequate calibration for NHW, NHB and MA men, and MA women (p-values: 0.128, 0.295, 0.104 and 0.163 respectively). The calibration was inadequate for NHW and NHB women (p<0.05). In this nationally representative cohort, the Pooled Cohort equations performed adequately to predict 10-year ASCVD mortality for NHW and NHB men, and MA population, but not for NHW and NHB women.
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spelling pubmed-53985282017-05-04 Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations Zhang, Zefeng Gillespie, Cathleen Bowman, Barbara Yang, Quanhe PLoS One Research Article The American College of Cardiology/American Heart Association developed Pooled Cohort equations to estimate atherosclerotic cardiovascular disease (ASCVD) risk. It is unclear how well the equations predict ASCVD mortality in a nationally representative cohort. We used the National Health and Nutrition Examination Survey (NHANES) 1988–1994 and Linked Mortality through 2006 (n = 6,644). Among participants aged 40–79 years without ASCVD at baseline, we used Cox proportional hazard models to estimate the 10-year probability of ASCVD death by sex and race-ethnicity (non-Hispanic white (NHW), non-Hispanic black (NHB) and Mexican American (MA)). We estimated the discrimination and calibration for each sex-race-ethnicity model. We documented 288 ASCVD deaths during 62,335 person years. The Pooled Cohort equations demonstrated moderate to good discrimination for ASCVD mortality, with modified C-statistics of 0.716 (95% CI 0.663–0.770), 0.794 (0.734–0.854), and 0.733 (0.654–0.811) for NHW, NHB and MA men, respectively. The corresponding C-statistics for women were 0.781 (0.718–0.844), 0.702 (0.633–0.771), and 0.789 (CI 0.721–0.857). Modified Hosmer-Lemeshow χ(2) suggested adequate calibration for NHW, NHB and MA men, and MA women (p-values: 0.128, 0.295, 0.104 and 0.163 respectively). The calibration was inadequate for NHW and NHB women (p<0.05). In this nationally representative cohort, the Pooled Cohort equations performed adequately to predict 10-year ASCVD mortality for NHW and NHB men, and MA population, but not for NHW and NHB women. Public Library of Science 2017-04-20 /pmc/articles/PMC5398528/ /pubmed/28426694 http://dx.doi.org/10.1371/journal.pone.0175822 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Zhang, Zefeng
Gillespie, Cathleen
Bowman, Barbara
Yang, Quanhe
Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations
title Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations
title_full Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations
title_fullStr Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations
title_full_unstemmed Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations
title_short Prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations
title_sort prediction of atherosclerotic cardiovascular disease mortality in a nationally representative cohort using a set of risk factors from pooled cohort risk equations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5398528/
https://www.ncbi.nlm.nih.gov/pubmed/28426694
http://dx.doi.org/10.1371/journal.pone.0175822
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