Literature DB >> 30262553

Temporal trends in cardiovascular risk factors and performance of the Framingham Risk Score and the Pooled Cohort Equations.

Susanne Rospleszcz1, Barbara Thorand1, Tonia de Las Heras Gala1, Christa Meisinger1,2, Rolf Holle3, Wolfgang Koenig4,5,6, Ulrich Mansmann7, Annette Peters1,6,8.   

Abstract

BACKGROUND: The Framingham Risk Score (FRS) and the Pooled Cohort Equations (PCE) are established tools for the prediction of cardiovascular disease (CVD) risk. In the Western world, decreases in incidence rates of CVD were observed over the last 30 years. Thus, we hypothesise that there are also temporal trends in the risk prediction performance of the FRS and PCE from 1990 to 2000.
METHODS: We used data from n=7789 men and women aged 40-74 years from three prospective population-based cohort studies enrolled in Southern Germany in 1989/1990, 1994/1995 and 1999/2000. 10-year CVD risk was calculated by recalibrated equations of the FRS or PCE. Calibration was evaluated by percentage of overestimation and Hosmer-Lemeshow tests. Discrimination performance was assessed by receiver operating characteristic (ROC) curves and corresponding area under the curve (AUC).
RESULTS: Across the three studies, we found significant temporal trends in risk factor distributions and predicted risks by both risk scores (men: 18.0%, 15.4%, 14.9%; women: 8.7%, 11.2%, 10.8%). Furthermore, also the discrimination performance evolved differently for men (AUC PCE: 76.4, 76.1, 72.8) and women (AUC PCE: 75.9, 79.5, 80.5). Both risk scores overestimated actual CVD risk.
CONCLUSION: There are temporal trends in the performance of the FRS and PCE. Although the overall performance remains adequate, sex-specific trends have to be taken into account for further refinement of risk prediction models. © Author(s) (or their employer(s)) 2019. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  cardiovascular disease; epidemiology; longitudinal studies; medical statistics

Mesh:

Year:  2018        PMID: 30262553     DOI: 10.1136/jech-2018-211102

Source DB:  PubMed          Journal:  J Epidemiol Community Health        ISSN: 0143-005X            Impact factor:   3.710


  3 in total

1.  Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis.

Authors:  Johanna A Damen; Romin Pajouheshnia; Pauline Heus; Karel G M Moons; Johannes B Reitsma; Rob J P M Scholten; Lotty Hooft; Thomas P A Debray
Journal:  BMC Med       Date:  2019-06-13       Impact factor: 8.775

2.  Validation of the 30-Year Framingham Risk Score in a German Population-Based Cohort.

Authors:  Susanne Rospleszcz; Fabian Starnecker; Birgit Linkohr; Moritz von Scheidt; Christian Gieger; Heribert Schunkert; Annette Peters
Journal:  Diagnostics (Basel)       Date:  2022-04-12

Review 3.  Cardiovascular Risk Prediction Models and Scores in the Era of Personalized Medicine.

Authors:  Areti Sofogianni; Nikolaos Stalikas; Christina Antza; Konstantinos Tziomalos
Journal:  J Pers Med       Date:  2022-07-20
  3 in total

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