Skip to main content
Have a personal or library account? Click to login
Improved ASCVD Screening in Diabetes: a Focus on Scoring Models and Detection Techniques Cover

Figures & Tables

Figure 1.

Relationship between diabetes and atherosclerosis.

Figure 2.

Pathways leading to endothelial dysfunction in diabetes mellitus.

Table 1

Overview of prognostic scoring models: populations, variables, and clinical utility

Scoring ModelPopulationVariables includedEndpointAdvantagesLimitations
Framingham Risk Score (FRS) [28]General PopulationAge, sex, smoking, systolic BP, total cholesterol, HDL cholesterol, diabetes10-year risk of coronary heart disease (CHD)Simple, widely used, easy to calculateLimited applicability to non-caucasian populations
Pooled Cohort Equations (PCE) [28]General Population (Including African Americans)Age, sex, total cholesterol, HDL cholesterol, systolic BP, smoking, diabetes, race10-year ASCVD risk (MI, Stroke, CHD death)More inclusive, accounts for racial differencesUnderestimates risk in younger and diabetic individuals
UKPDS Risk Engine [32]Type 2 Diabetes MellitusAge, sex, diabetes duration, HbA1c, total cholesterol, systolic BP, smokingRisk of CHD and stroke in diabetic patientsSpecific for diabetics, includes glycemic controlLacks imaging and novel biomarkers
ADVANCE Risk Score [32]Type 2 Diabetes MellitusAge, sex, diabetes duration, smoking, systolic BP, cholesterol, prior CVD, medication use5-year risk of major cardiovascular events in diabeticsIncorporates prior CVD and treatment factorsShort-term risk prediction (5 years), lacks imaging integration
SCORE2-Diabetes [37]Type 2 Diabetes MellitusAge at diabetes diagnosis, HbA1c, eGFR, total cholesterol, BP10-year risk of cardiovascular disease (CVD) in diabeticsRefined model for diabetics, considers renal functionLimited validation outside European populations
Polygenic Risk Scores (PRS) [29]General Population (Genetic-based Risk)Polygenic risk factors (genetic variants linked to ASCVD)Lifetime genetic risk for ASCVDEarly risk detection, independent of traditional risk factorsLimited clinical integration, performance varies across ethnic groups

[i] ASCVD, atherosclerotic cardiovascular disease; BP, blood pressure; CHD, coronary heart disease; CVD, cardiovascular disease; eGFR, estimated glomerular filtration rate; FRS, Framingham Risk Score; HbA1c, glycated hemoglobin; MI, myocardial infarction; PCE, Pooled Cohort Equations; PRS, Polygenic Risk Scores.

Figure 3.

Prevalence of macrovascular and microvascular complications of diabetes.

DOI: https://doi.org/10.2478/rjim-2025-0009 | Journal eISSN: 2501-062X (formerly 1220-4749) | Journal ISSN: 1220-4749
Language: English, Romanian
Page range: 127 - 144
Submitted on: Jan 15, 2025
Published on: Apr 25, 2025
Published by: N.G. Lupu Internal Medicine Foundation
In partnership with: Paradigm Publishing Services

© 2025 Răzvan-Liviu Zanfirescu, Larisa Anghel, Bogdan-Sorin Tudurachi, Alexandra-Mihaela Clement, Alexandra Zăvoi, Laura-Cătălina Benchea, Manuela Ciocoiu, Radu Andy Sascău, Cristian Stătescu, Rodica Radu, published by N.G. Lupu Internal Medicine Foundation
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.