Literature DB >> 30039172

Evaluation of the Pooled Cohort Risk Equations for Cardiovascular Risk Prediction in a Multiethnic Cohort From the Women's Health Initiative.

Samia Mora1, Nanette K Wenger2, Nancy R Cook1,3, Jingmin Liu4, Barbara V Howard5, Marian C Limacher6, Simin Liu7, Karen L Margolis8, Lisa W Martin9, Nina P Paynter1, Paul M Ridker1,3, Jennifer G Robinson10, Jacques E Rossouw11, Monika M Safford12, JoAnn E Manson1,3.   

Abstract

Importance: Atherosclerotic cardiovascular disease (ASCVD) kills approximately 1 in every 3 US women. Current cholesterol, hypertension, and aspirin guidelines recommend calculating 10-year risk of ASCVD using the 2013 Pooled Cohort Equations (PCE). However, numerous studies have reported apparent overestimation of risk with the PCE, and reasons for overestimation are unclear. Objective: We evaluated the predictive accuracy of the PCE in the Women's Health Initiative (WHI), a multiethnic cohort of contemporary US postmenopausal women. We evaluated the effects of time-varying treatments such as aspirin and statins, and ascertainment of additional ASCVD events by linkage with the Centers for Medicare and Medicaid Services (CMS) claims. Design, Setting, and Participants: The WHI recruited the largest number of US women (n = 161 808) with the racial/ethnic, geographic, and age diversity of the general population (1993-1998). For this study, we included women aged 50 to 79 (n = 19 995) participating in the WHI with data on the risk equation variables at baseline and who met the guideline inclusion and exclusion criteria. Median follow-up was 10 years. Main Outcomes and Measures: For this study, ASCVD was defined as myocardial infarction, stroke, or cardiovascular death.
Results: Among the 19 995 women (mean [SD] age, 64 [7.3] years; 8305 [41.5%] white, 7688 [38.5%] black, 3491 [17.5%] Hispanic, 103 [0.5%] American Indian, 321 [1.6%] Asian/Pacific Islander, and 87 [0.4%] other/unknown), a total of 1236 ASCVD events occurred in 10 years and were adjudicated through medical record review by WHI investigators. The WHI-adjudicated observed risks were lower than predicted. The observed (predicted) risks for baseline 10-year risk categories less than 5%, 5% to less than 7.5%, 7.5% to less than 10%, and 10% or more were 1.7 (2.8), 4.4 (6.2), 5.3 (8.7), and 12.4 (18.2), respectively. Small changes were noted after adjusting for time-dependent changes in statin and aspirin use. Among women 65 years or older enrolled in Medicare, WHI-adjudicated risks were also lower than predicted, but observed (predicted) risks became aligned after including events ascertained by linkage with CMS for additional surveillance for events: 3.8 (4.3), 7.1 (6.4), 8.3 (8.7), and 18.9 (18.7), respectively. Similar results were seen across ethnic/racial groups. Overall, the equations discriminated risk well (C statistic, 0.726; 95% CI, 0.714-0.738). Conclusions and Relevance: Without including surveillance for ASCVD events using CMS, observed risks in the WHI were lower than predicted by PCE as noted in several other US cohorts, but risks were better aligned after including CMS events. Trial Registration: ClinicalTrials.gov identifier: NCT00000611.

Entities:  

Mesh:

Year:  2018        PMID: 30039172      PMCID: PMC6142964          DOI: 10.1001/jamainternmed.2018.2875

Source DB:  PubMed          Journal:  JAMA Intern Med        ISSN: 2168-6106            Impact factor:   21.873


  31 in total

1.  Outcomes ascertainment and adjudication methods in the Women's Health Initiative.

Authors:  J David Curb; Anne McTiernan; Susan R Heckbert; Charles Kooperberg; Janet Stanford; Michael Nevitt; Karen C Johnson; Lori Proulx-Burns; Lisa Pastore; Michael Criqui; Sandra Daugherty
Journal:  Ann Epidemiol       Date:  2003-10       Impact factor: 3.797

2.  Validation and updating of predictive logistic regression models: a study on sample size and shrinkage.

Authors:  Ewout W Steyerberg; Gerard J J M Borsboom; Hans C van Houwelingen; Marinus J C Eijkemans; J Dik F Habbema
Journal:  Stat Med       Date:  2004-08-30       Impact factor: 2.373

3.  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

4.  Response to Comment on the reports of over-estimation of ASCVD risk using the 2013 AHA/ACC risk equation.

Authors:  Nancy R Cook; Paul M Ridker
Journal:  Circulation       Date:  2013-12-11       Impact factor: 29.690

Review 5.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

6.  An analysis of calibration and discrimination among multiple cardiovascular risk scores in a modern multiethnic cohort.

Authors:  Andrew P DeFilippis; Rebekah Young; Christopher J Carrubba; John W McEvoy; Matthew J Budoff; Roger S Blumenthal; Richard A Kronmal; Robyn L McClelland; Khurram Nasir; Michael J Blaha
Journal:  Ann Intern Med       Date:  2015-02-17       Impact factor: 25.391

7.  Design of the Women's Health Initiative clinical trial and observational study. The Women's Health Initiative Study Group.

Authors: 
Journal:  Control Clin Trials       Date:  1998-02

8.  Study of Cardiovascular Health Outcomes in the Era of Claims Data: The Cardiovascular Health Study.

Authors:  Bruce M Psaty; Joseph A Delaney; Alice M Arnold; Lesley H Curtis; Annette L Fitzpatrick; Susan R Heckbert; Barbara McKnight; Diane Ives; John S Gottdiener; Lewis H Kuller; W T Longstreth
Journal:  Circulation       Date:  2015-11-04       Impact factor: 29.690

9.  Use of Medicare data to identify coronary heart disease outcomes in the Women's Health Initiative.

Authors:  Mark A Hlatky; Roberta M Ray; Dale R Burwen; Karen L Margolis; Karen C Johnson; Anna Kucharska-Newton; JoAnn E Manson; Jennifer G Robinson; Monika M Safford; Matthew Allison; Themistocles L Assimes; Anthony A Bavry; Jeffrey Berger; Rhonda M Cooper-DeHoff; Susan R Heckbert; Wenjun Li; Simin Liu; Lisa W Martin; Marco V Perez; Hilary A Tindle; Wolfgang C Winkelmayer; Marcia L Stefanick
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2014-01-07

10.  Performance of the Atherosclerotic Cardiovascular Disease Pooled Cohort Risk Equations by Social Deprivation Status.

Authors:  Lisandro D Colantonio; Joshua S Richman; April P Carson; Donald M Lloyd-Jones; George Howard; Luqin Deng; Virginia J Howard; Monika M Safford; Paul Muntner; David C Goff
Journal:  J Am Heart Assoc       Date:  2017-03-17       Impact factor: 5.501

View more
  19 in total

1.  Women With Nonalcoholic Fatty Liver Disease Lose Protection Against Cardiovascular Disease: A Longitudinal Cohort Study.

Authors:  Alina M Allen; Terry M Therneau; Kristin C Mara; Joseph J Larson; Kymberly D Watt; Sharonne N Hayes; Patrick S Kamath
Journal:  Am J Gastroenterol       Date:  2019-11       Impact factor: 10.864

2.  Calibration and discrimination of the Framingham Risk Score and the Pooled Cohort Equations.

Authors:  Dennis T Ko; Atul Sivaswamy; Maneesh Sud; Gynter Kotrri; Paymon Azizi; Maria Koh; Peter C Austin; Douglas S Lee; Idan Roifman; George Thanassoulis; Karen Tu; Jacob A Udell; Harindra C Wijeysundera; Todd J Anderson
Journal:  CMAJ       Date:  2020-04-27       Impact factor: 8.262

3.  2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Donna K Arnett; Roger S Blumenthal; Michelle A Albert; Andrew B Buroker; Zachary D Goldberger; Ellen J Hahn; Cheryl Dennison Himmelfarb; Amit Khera; Donald Lloyd-Jones; J William McEvoy; Erin D Michos; Michael D Miedema; Daniel Muñoz; Sidney C Smith; Salim S Virani; Kim A Williams; Joseph Yeboah; Boback Ziaeian
Journal:  J Am Coll Cardiol       Date:  2019-03-17       Impact factor: 24.094

Review 4.  2019 ACC/AHA Guideline on the Primary Prevention of Cardiovascular Disease: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines.

Authors:  Donna K Arnett; Roger S Blumenthal; Michelle A Albert; Andrew B Buroker; Zachary D Goldberger; Ellen J Hahn; Cheryl Dennison Himmelfarb; Amit Khera; Donald Lloyd-Jones; J William McEvoy; Erin D Michos; Michael D Miedema; Daniel Muñoz; Sidney C Smith; Salim S Virani; Kim A Williams; Joseph Yeboah; Boback Ziaeian
Journal:  Circulation       Date:  2019-03-17       Impact factor: 29.690

5.  2019 AHA/ACC Clinical Performance and Quality Measures for Adults With High Blood Pressure: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures.

Authors:  Donald E Casey; Randal J Thomas; Vivek Bhalla; Yvonne Commodore-Mensah; Paul A Heidenreich; Dhaval Kolte; Paul Muntner; Sidney C Smith; John A Spertus; John R Windle; Gregory D Wozniak; Boback Ziaeian
Journal:  J Am Coll Cardiol       Date:  2019-11-26       Impact factor: 24.094

Review 6.  Cardiovascular Risk Assessment in the Older Athlete.

Authors:  Alec J Moorman; Larry S Dean; Eugene Yang; Jonathan A Drezner
Journal:  Sports Health       Date:  2021-03-18       Impact factor: 3.843

7.  Long-Term Risk Prediction for Heart Failure, Disparities, and Early Prevention.

Authors:  Steven Shea; Michael J Blaha
Journal:  Circ Res       Date:  2022-01-20       Impact factor: 23.213

8.  A 10- and 15-year performance analysis of ESC/EAS and ACC/AHA cardiovascular risk scores in a Southern European cohort.

Authors:  Cátia Santos-Ferreira; Rui Baptista; Manuel Oliveira-Santos; José Pereira Moura; Lino Gonçalves
Journal:  BMC Cardiovasc Disord       Date:  2020-06-19       Impact factor: 2.298

Review 9.  2019 AHA/ACC Clinical Performance and Quality Measures for Adults With High Blood Pressure: A Report of the American College of Cardiology/American Heart Association Task Force on Performance Measures.

Authors:  Donald E Casey; Randal J Thomas; Vivek Bhalla; Yvonne Commodore-Mensah; Paul A Heidenreich; Dhaval Kolte; Paul Muntner; Sidney C Smith; John A Spertus; John R Windle; Gregory D Wozniak; Boback Ziaeian
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2019-11-12

10.  Optimizing Atherosclerotic Cardiovascular Disease Risk Estimation for Veterans With Diabetes Mellitus.

Authors:  Sridharan Raghavan; Yuk-Lam Ho; Jason L Vassy; Daniel Posner; Jacqueline Honerlaw; Lauren Costa; Lawrence S Phillips; David R Gagnon; Peter W F Wilson; Kelly Cho
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-08-31
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.