Literature DB >> 24736237

Assessing the performance of the Framingham Stroke Risk Score in the reasons for geographic and racial differences in stroke cohort.

Leslie A McClure1, Dawn O Kleindorfer2, Brett M Kissela2, Mary Cushman2, Elsayed Z Soliman2, George Howard2.   

Abstract

BACKGROUND AND
PURPOSE: The most well-known stroke risk score is the Framingham Stroke Risk Score (FSRS), which was developed during the higher stroke risk period of the 1990s and has not been validated for blacks. We assessed the performance of the FSRS among participants in the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study to determine whether it is useful in both blacks and whites.
METHODS: Expected annualized stroke rates from the FSRS were compared with observed stroke rates overall and within strata defined by FSRS risk factors (age, sex, systolic blood pressure, use of antihypertensive medications, diabetes mellitus, smoking, atrial fibrillation, left ventricular hypertrophy, and prevalent coronary heart disease).
RESULTS: Among 27 748 participants stroke-free at baseline, 715 stroke events occurred over 5.6 years of follow-up. FSRS-estimated incidence rates of stroke were 1.6× higher than observed for black men, 1.9× higher for white men, 1.7× higher for black women, and 1.7× higher for white women. This overestimation was consistent among most subgroups of FSRS factors, although the magnitude of overestimation varied by the risk factor assessed.
CONCLUSIONS: Although higher FSRS was associated with higher stroke risk, the FSRS overestimated the observed stroke rates in this study, particularly in certain subgroups. This may be because of temporal declines in stroke rates, secular trends in prevention treatments, or differences in populations studied. More accurate estimates of event rates are critical for planning research, including clinical trials, and targeting health-care efforts.
© 2014 American Heart Association, Inc.

Entities:  

Keywords:  risk assessment; risk factors; stroke

Mesh:

Year:  2014        PMID: 24736237      PMCID: PMC4102650          DOI: 10.1161/STROKEAHA.114.004915

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  17 in total

1.  Probability of stroke: a risk profile from the Framingham Study.

Authors:  P A Wolf; R B D'Agostino; A J Belanger; W B Kannel
Journal:  Stroke       Date:  1991-03       Impact factor: 7.914

2.  Validation of the Framingham coronary heart disease prediction scores: results of a multiple ethnic groups investigation.

Authors:  R B D'Agostino; S Grundy; L M Sullivan; P Wilson
Journal:  JAMA       Date:  2001-07-11       Impact factor: 56.272

3.  A stroke prediction score in the elderly: validation and Web-based application.

Authors:  Thomas Lumley; Richard A Kronmal; Mary Cushman; Teri A Manolio; Steven Goldstein
Journal:  J Clin Epidemiol       Date:  2002-02       Impact factor: 6.437

4.  Stroke, statins, and cholesterol. A meta-analysis of randomized, placebo-controlled, double-blind trials with HMG-CoA reductase inhibitors.

Authors:  G J Blauw; A M Lagaay; A H Smelt; R G Westendorp
Journal:  Stroke       Date:  1997-05       Impact factor: 7.914

5.  Trends in the in-hospital stroke rate following carotid endarterectomy in California and Maryland.

Authors:  Susanna L Matsen; David C Chang; Bruce A Perler; Glen S Roseborough; G Melville Williams
Journal:  J Vasc Surg       Date:  2006-09       Impact factor: 4.268

6.  Prediction of ischemic stroke risk in the Atherosclerosis Risk in Communities Study.

Authors:  Lloyd E Chambless; Gerardo Heiss; Eyal Shahar; Mary Jo Earp; James Toole
Journal:  Am J Epidemiol       Date:  2004-08-01       Impact factor: 4.897

7.  Short-term predictors of incident stroke in older adults. The Cardiovascular Health Study.

Authors:  T A Manolio; R A Kronmal; G L Burke; D H O'Leary; T R Price
Journal:  Stroke       Date:  1996-09       Impact factor: 7.914

8.  Stroke risk profile: adjustment for antihypertensive medication. The Framingham Study.

Authors:  R B D'Agostino; P A Wolf; A J Belanger; W B Kannel
Journal:  Stroke       Date:  1994-01       Impact factor: 7.914

9.  Circadian rhythmicity of stroke onset. Intracerebral and subarachnoid hemorrhage.

Authors:  M A Sloan; T R Price; M A Foulkes; J R Marler; J P Mohr; D B Hier; P A Wolf; L R Caplan
Journal:  Stroke       Date:  1992-10       Impact factor: 7.914

10.  Stroke--1989. Recommendations on stroke prevention, diagnosis, and therapy. Report of the WHO Task Force on Stroke and other Cerebrovascular Disorders.

Authors: 
Journal:  Stroke       Date:  1989-10       Impact factor: 7.914

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  14 in total

1.  Revised Framingham Stroke Risk Score, Nontraditional Risk Markers, and Incident Stroke in a Multiethnic Cohort.

Authors:  Peter Flueckiger; Will Longstreth; David Herrington; Joseph Yeboah
Journal:  Stroke       Date:  2018-01-08       Impact factor: 7.914

2.  Revised Framingham Stroke Risk Profile to Reflect Temporal Trends.

Authors:  Carole Dufouil; Alexa Beiser; Leslie A McLure; Philip A Wolf; Christophe Tzourio; Virginia J Howard; Andrew J Westwood; Jayandra J Himali; Lisa Sullivan; Hugo J Aparicio; Margaret Kelly-Hayes; Karen Ritchie; Carlos S Kase; Aleksandra Pikula; Jose R Romero; Ralph B D'Agostino; Cécilia Samieri; Ramachandran S Vasan; Genevieve Chêne; George Howard; Sudha Seshadri
Journal:  Circulation       Date:  2017-02-03       Impact factor: 29.690

Review 3.  A systematic review of the status and methodological considerations for estimating risk of first ever stroke in the general population.

Authors:  Wei Xu; Jiuyi Huang; Qingsong Yu; Hongfan Yu; Yang Pu; Qiuling Shi
Journal:  Neurol Sci       Date:  2021-03-30       Impact factor: 3.307

4.  Cost-effectiveness of Antihypertensive Medication: Exploring Race and Sex Differences Using Data From the REasons for Geographic and Racial Differences in Stroke Study.

Authors:  Gabriel S Tajeu; Stephen Mennemeyer; Nir Menachemi; Robert Weech-Maldonado; Meredith Kilgore
Journal:  Med Care       Date:  2017-06       Impact factor: 2.983

5.  US Mortality: Influence of Race, Geography and Cardiovascular Risk Among Participants in the Population-Based REGARDS Cohort.

Authors:  Nita A Limdi; Virginia J Howard; John Higginbotham; Jason Parton; Monika M Safford; George Howard
Journal:  J Racial Ethn Health Disparities       Date:  2015-11-05

6.  Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score.

Authors:  Agni Orfanoudaki; Emma Chesley; Christian Cadisch; Barry Stein; Amre Nouh; Mark J Alberts; Dimitris Bertsimas
Journal:  PLoS One       Date:  2020-05-21       Impact factor: 3.240

7.  Effects of Neighborhood-level Data on Performance and Algorithmic Equity of a Model That Predicts 30-day Heart Failure Readmissions at an Urban Academic Medical Center.

Authors:  Gary E Weissman; Stephanie Teeple; Nwamaka D Eneanya; Rebecca A Hubbard; Shreya Kangovi
Journal:  J Card Fail       Date:  2021-05-26       Impact factor: 6.592

8.  The Stroke Riskometer(TM) App: validation of a data collection tool and stroke risk predictor.

Authors:  Priya Parmar; Rita Krishnamurthi; M Arfan Ikram; Albert Hofman; Saira S Mirza; Yury Varakin; Michael Kravchenko; Michael Piradov; Amanda G Thrift; Bo Norrving; Wenzhi Wang; Dipes Kumar Mandal; Suzanne Barker-Collo; Ramesh Sahathevan; Stephen Davis; Gustavo Saposnik; Miia Kivipelto; Shireen Sindi; Natan M Bornstein; Maurice Giroud; Yannick Béjot; Michael Brainin; Richie Poulton; K M Venkat Narayan; Manuel Correia; António Freire; Yoshihiro Kokubo; David Wiebers; George Mensah; Nasser F BinDhim; P Alan Barber; Jeyaraj Durai Pandian; Graeme J Hankey; Man Mohan Mehndiratta; Shobhana Azhagammal; Norlinah Mohd Ibrahim; Max Abbott; Elaine Rush; Patria Hume; Tasleem Hussein; Rohit Bhattacharjee; Mitali Purohit; Valery L Feigin
Journal:  Int J Stroke       Date:  2014-12-10       Impact factor: 5.266

9.  Medical complications experienced by first-time ischemic stroke patients during inpatient, tertiary level stroke rehabilitation.

Authors:  Gul Mete Civelek; Ayce Atalay; Nur Turhan
Journal:  J Phys Ther Sci       Date:  2016-02-29

10.  A PheWAS study of a large observational epidemiological cohort of African Americans from the REGARDS study.

Authors:  Xueyan Zhao; Xin Geng; Vinodh Srinivasasainagendra; Ninad Chaudhary; Suzanne Judd; Virginia Wadley; Orlando M Gutiérrez; Henry Wang; Ethan M Lange; Leslie A Lange; Daniel Woo; Frederick W Unverzagt; Monika Safford; Mary Cushman; Nita Limdi; Rakale Quarells; Donna K Arnett; Marguerite R Irvin; Degui Zhi
Journal:  BMC Med Genomics       Date:  2019-01-31       Impact factor: 3.063

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