7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      A Revised Framingham Stroke Risk Profile to Reflect Temporal Trends

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Age-adjusted stroke incidence has decreased over the past 50 years, likely due to changes in the prevalence and impact of various stroke risk factors. An updated version of the Framingham Stroke Risk Profile (FSRP) might better predict current risks in the Framingham Heart Study (FHS) and other cohorts. We compared the accuracy of the standard ( Old), and of a revised ( New) version of the FSRP in predicting the risk of all-stroke and ischemic stroke, and validated this new FSRP in two external cohorts, the 3 Cities (3C) and REGARDS studies.

          Methods

          We computed the old FSRP as originally described, and a new model that used the most recent epoch-specific risk factors' prevalence and hazard-ratios for persons ≥ 55 years and for the subsample ≥ 65 years (to match the age range in REGARDS and 3C studies respectively), and compared the efficacy of these models in predicting 5- and 10-year stroke risks.

          Results

          The new FSRP was a better predictor of current stroke risks in all three samples than the old FSRP (Calibration chi-squares of new/old FSRP: in men 64.0/12.1, 59.4/30.6 and 20.7/12.5; in women 42.5/4.1, 115.4/90.3 and 9.8/6.5 in FHS, REGARDS and 3C, respectively). In the REGARDS, the new FSRP was a better predictor among whites compared to blacks.

          Conclusions

          A more contemporaneous, new FSRP better predicts current risks in 3 large community samples and could serve as the basis for examining geographic and racial differences in stroke risk and the incremental diagnostic utility of novel stroke risk factors.

          Related collections

          Author and article information

          Journal
          0147763
          2979
          Circulation
          Circulation
          Circulation
          0009-7322
          1524-4539
          10 May 2017
          03 February 2017
          21 March 2017
          21 March 2018
          : 135
          : 12
          : 1145-1159
          Affiliations
          [1 ]INSERM Center 897, Bordeaux University, Bordeaux, France
          [2 ]CIC-1401 Clinical Epidemiology Branch and The Department of Public Health, Bordeaux CHU, Bordeaux, France
          [3 ]The Department of Neurology, School of Medicine, at Boston University, Boston, MA, USA
          [4 ]The Department of Biostatistics, School of Public Health at Boston University, Boston, MA, USA
          [5 ]NHLBI’s Framingham Heart Study, Framingham, MA, USA
          [6 ]Department of Biostatistics, Drexel University School of Public Health, Philadelphia, PA, USA
          [7 ]Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
          [8 ]INSERM Unit 1061, Montpellier University, Montpellier, France
          [9 ]The Department of Mathematics, at Boston University, Boston, MA, USA
          [10 ]Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA
          Author notes
          Correspondence and reprint requests to Sudha Seshadri, MD, Department of Neurology, Boston University School of Medicine, 72 East Concord Street, B-602, Boston, MA 02118-2526, Telephone: (617) 414-1337, Fax: (617) 638-8086, suseshad@ 123456bu.edu
          [*]

          The first two authors have contributed equally

          [**]

          The last two authors have contributed equally

          Article
          PMC5504355 PMC5504355 5504355 nihpa852369
          10.1161/CIRCULATIONAHA.115.021275
          5504355
          28159800
          413c5c42-ccc2-4b24-bf4c-250525154417
          History
          Categories
          Article

          Incidence,Stroke,Risk factor,Temporal trends
          Incidence, Stroke, Risk factor, Temporal trends

          Comments

          Comment on this article