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World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions

Authors :
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 Sr
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
Source :
The Lancet Global Health, Vol 7, Iss 10, Pp e1332-e1345 (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

Summary: 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. 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. 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. 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. Funding: World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research.

Details

Language :
English
ISSN :
2214109X
Volume :
7
Issue :
10
Database :
Directory of Open Access Journals
Journal :
The Lancet Global Health
Publication Type :
Academic Journal
Accession number :
edsdoj.be6b4445261496287e2ed04c8f32089
Document Type :
article
Full Text :
https://doi.org/10.1016/S2214-109X(19)30318-3