Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11110%2F17%3A10361936" target="_blank" >RIV/00216208:11110/17:10361936 - isvavai.cz</a>

Alternative codes found

RIV/00023001:_____/17:00060288 RIV/00064190:_____/17:N0000066

Result on the web

<a href="http://dx.doi.org/10.1016/S2213-8587(17)30015-3" target="_blank" >http://dx.doi.org/10.1016/S2213-8587(17)30015-3</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/S2213-8587(17)30015-3" target="_blank" >10.1016/S2213-8587(17)30015-3</a>

Result language

angličtina

Original language name

Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys

Original language description

Background: Worldwide implementation of risk-based cardiovascular disease (CVD) prevention requires risk prediction tools that are contemporarily recalibrated for the target country and can be used where laboratory measurements are unavailable. We present two cardiovascular risk scores, with and without laboratory-based measurements, and the corresponding risk charts for 182 countries to predict 10-year risk of fatal and non-fatal CVD in adults aged 40-74 years. Methods: Based on our previous laboratory-based prediction model (Globorisk), we used data from eight prospective studies to estimate coefficients of the risk equations using proportional hazard regressions. The laboratory-based risk score included age, sex, smoking, blood pressure, diabetes, and total cholesterol; in the non-laboratory (office-based) risk score, we replaced diabetes and total cholesterol with BMI. We recalibrated risk scores for each sex and age group in each country using country-specific mean risk factor levels and CVD rates. We used recalibrated risk scores and data from national surveys (using data from adults aged 40-64 years) to estimate the proportion of the population at different levels of CVD risk for ten countries from different world regions as examples of the information the risk scores provide; we applied a risk threshold for high risk of at least 10% for high-income countries (HICs) and at least 20% for low-income and middle-income countries (LMICs) on the basis of national and international guidelines for CVD prevention. We estimated the proportion of men and women who were similarly categorised as high risk or low risk by the two risk scores. Interpretation: Our risk charts provide risk assessment tools that are recalibrated for each country and make the estimation of CVD risk possible without using laboratory-based measurements.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

30201 - Cardiac and Cardiovascular systems

Project

—

Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

The Lancet: Diabetes &amp; Endocrinology

ISSN

2213-8587

e-ISSN

—

Volume of the periodical

5

Issue of the periodical within the volume

3

Country of publishing house

GB - UNITED KINGDOM

Number of pages

18

Pages from-to

196-213

UT code for WoS article

000396338600013

EID of the result in the Scopus database

2-s2.0-85010190596