| Title: | World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions |
| Journal: | The Lancet Global Health |
| Published: | 2 Sep 2019 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/31488387/ |
| DOI: | https://doi.org/10.1016/s2214-109x(19)30318-3 |
| URL: | http://www.thelancet.com/article/S2214109X19303183/pdf |
Publication 13680
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
BACKGROUND: To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions.</p>
METHODS: In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40-80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance.</p>
FINDINGS: Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629-0·741) to 0·833 (0·783-0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40-64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt.</p>
INTERPRETATION: We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide.</p>
FUNDING: World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research.</p>
14 Keywords
- Adult
- Aged
- Aged, 80 and over
- Cardiovascular Diseases
- Egypt
- Female
- Humans
- Male
- Middle Aged
- Prospective Studies
- Risk Assessment
- Risk Factors
- Uganda
- World Health Organization
102 Authors
- The WHO CVD Risk Chart Working Group
- Stephen Kaptoge
- Lisa Pennells
- Dirk De Bacquer
- Marie Therese Cooney
- Maryam Kavousi
- Gretchen Stevens
- Leanne Margaret Riley
- Stefan Savin
- Taskeen Khan
- Servet Altay
- Philippe Amouyel
- Gerd Assmann
- Steven Bell
- Yoav Ben-Shlomo
- Lisa Berkman
- Joline W Beulens
- Cecilia Björkelund
- Michael Blaha
- Dan G Blazer
- Thomas Bolton
- Ruth Bonita Beaglehole
- Hermann Brenner
- Eric J Brunner
- Edoardo Casiglia
- Parinya Chamnan
- Yeun-Hyang Choi
- Rajiv Chowdry
- Sean Coady
- Carlos J Crespo
- Mary Cushman
- Gilles R Dagenais
- Ralph B D'Agostino
- Makoto Daimon
- Karina W Davidson
- Gunnar Engström
- Ian Ford
- John Gallacher
- Ron T Gansevoort
- Thomas Andrew Gaziano
- Simona Giampaoli
- Greg Grandits
- Sameline Grimsgaard
- Diederick E Grobbee
- Vilmundur Gudnason
- Qi Guo
- Hanna Tolonen
- Steve Humphries
- Hiroyasu Iso
- J Wouter Jukema
- Jussi Kauhanen
- Andre Pascal Kengne
- Davood Khalili
- Wolfgang Koenig
- Daan Kromhout
- Harlan Krumholz
- TH Lam
- Gail Laughlin
- Alejandro Marín Ibañez
- Tom W Meade
- Karel G M Moons
- Paul J Nietert
- Toshiharu Ninomiya
- Børge G Nordestgaard
- Christopher O'Donnell
- Luigi Palmieri
- Anushka Patel
- Pablo Perel
- Jackie F Price
- Rui Providencia
- Paul M Ridker
- Beatriz Rodriguez
- Annika Rosengren
- Ronan Roussel
- Masaru Sakurai
- Veikko Salomaa
- Shinichi Sato
- Ben Schöttker
- Nawar Shara
- Jonathan E Shaw
- Hee-Choon Shin
- Leon A Simons
- Eleni Sofianopoulou
- Johan Sundström
- Henry Völzke
- Robert B Wallace
- Nicholas J Wareham
- Peter Willeit
- David Wood
- Angela Wood
- Dong Zhao
- Mark Woodward
- Goodarz Danaei
- Gregory Roth
- Shanthi Mendis
- Oyere Onuma
- Cherian Varghese
- Majid Ezzati
- Ian Graham
- Rod Jackson
- John Danesh
- Emanuele Di Angelantonio
1 Application
| Application ID | Title |
|---|---|
| 26865 | Risk factors for `less-frequent` cardiovascular diseases |
Enabling scientific discoveries that improve human health