» Articles » PMID: 37632466

Global Effect of Modifiable Risk Factors on Cardiovascular Disease and Mortality

Overview
Journal N Engl J Med
Specialty General Medicine
Date 2023 Aug 26
PMID 37632466
Authors
Affiliations
Soon will be listed here.
Abstract

Background: Five modifiable risk factors are associated with cardiovascular disease and death from any cause. Studies using individual-level data to evaluate the regional and sex-specific prevalence of the risk factors and their effect on these outcomes are lacking.

Methods: We pooled and harmonized individual-level data from 112 cohort studies conducted in 34 countries and 8 geographic regions participating in the Global Cardiovascular Risk Consortium. We examined associations between the risk factors (body-mass index, systolic blood pressure, non-high-density lipoprotein cholesterol, current smoking, and diabetes) and incident cardiovascular disease and death from any cause using Cox regression analyses, stratified according to geographic region, age, and sex. Population-attributable fractions were estimated for the 10-year incidence of cardiovascular disease and 10-year all-cause mortality.

Results: Among 1,518,028 participants (54.1% of whom were women) with a median age of 54.4 years, regional variations in the prevalence of the five modifiable risk factors were noted. Incident cardiovascular disease occurred in 80,596 participants during a median follow-up of 7.3 years (maximum, 47.3), and 177,369 participants died during a median follow-up of 8.7 years (maximum, 47.6). For all five risk factors combined, the aggregate global population-attributable fraction of the 10-year incidence of cardiovascular disease was 57.2% (95% confidence interval [CI], 52.4 to 62.1) among women and 52.6% (95% CI, 49.0 to 56.1) among men, and the corresponding values for 10-year all-cause mortality were 22.2% (95% CI, 16.8 to 27.5) and 19.1% (95% CI, 14.6 to 23.6).

Conclusions: Harmonized individual-level data from a global cohort showed that 57.2% and 52.6% of cases of incident cardiovascular disease among women and men, respectively, and 22.2% and 19.1% of deaths from any cause among women and men, respectively, may be attributable to five modifiable risk factors. (Funded by the German Center for Cardiovascular Research (DZHK); ClinicalTrials.gov number, NCT05466825.).

Citing Articles

The effect of a smartphone-based application on the self-efficacy of heart valve surgery patients and their family caregivers` burden: a randomized clinical trial.

Zarei M, Sarmadi S, Boozaripour M, Sanaie N BMC Nurs. 2025; 24(1):265.

PMID: 40065346 PMC: 11895213. DOI: 10.1186/s12912-025-02909-0.


Cardiovascular disease in the Americas: optimizing primary and secondary prevention of cardiovascular disease series: cardiovascular disease in the Americas.

Schwalm J, Joseph P, Leong D, Lopez-Lopez J, Onuma O, Bhatt P Lancet Reg Health Am. 2025; 42:100964.

PMID: 40034111 PMC: 11873640. DOI: 10.1016/j.lana.2024.100964.


Cardiovascular disease in the Americas: the epidemiology of cardiovascular disease and its risk factors.

Joseph P, Lanas F, Roth G, Lopez-Jaramillo P, Lonn E, Miller V Lancet Reg Health Am. 2025; 42:100960.

PMID: 40034110 PMC: 11873637. DOI: 10.1016/j.lana.2024.100960.


Association between Hp infection and serum uric acid to high-density lipoprotein cholesterol ratio in adults.

Qin Z, Fang Y, Liu Y, Zhang L, Zhang R, Zhang S Front Med (Lausanne). 2025; 12:1509269.

PMID: 40018350 PMC: 11866119. DOI: 10.3389/fmed.2025.1509269.


Clinically Accessible Liver Fibrosis Association with CT Scan Coronary Artery Disease Beyond Other Validated Risk Predictors: The ICAP Experience.

Garcia Izquierdo B, Martinez-Urbistondo D, Guadalix S, Pastrana M, Bajo Buenestado A, Colina I J Clin Med. 2025; 14(4).

PMID: 40004749 PMC: 11856594. DOI: 10.3390/jcm14041218.


References
1.
Pencina M, DAgostino Sr R, Larson M, Massaro J, Vasan R . Predicting the 30-year risk of cardiovascular disease: the framingham heart study. Circulation. 2009; 119(24):3078-84. PMC: 2748236. DOI: 10.1161/CIRCULATIONAHA.108.816694. View

2.
. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J. 2021; 42(25):2439-2454. PMC: 8248998. DOI: 10.1093/eurheartj/ehab309. View

3.
Yusuf S, Joseph P, Rangarajan S, Islam S, Mente A, Hystad P . Modifiable risk factors, cardiovascular disease, and mortality in 155 722 individuals from 21 high-income, middle-income, and low-income countries (PURE): a prospective cohort study. Lancet. 2019; 395(10226):795-808. PMC: 8006904. DOI: 10.1016/S0140-6736(19)32008-2. View

4.
Evans A, Salomaa V, Kulathinal S, Asplund K, Cambien F, Ferrario M . MORGAM (an international pooling of cardiovascular cohorts). Int J Epidemiol. 2004; 34(1):21-7. DOI: 10.1093/ije/dyh327. View

5.
Joseph P, Leong D, Mckee M, Anand S, Schwalm J, Teo K . Reducing the Global Burden of Cardiovascular Disease, Part 1: The Epidemiology and Risk Factors. Circ Res. 2017; 121(6):677-694. DOI: 10.1161/CIRCRESAHA.117.308903. View