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The Association of Coronary Artery Calcium Score with Heart Failure – a Literature Review Cover

The Association of Coronary Artery Calcium Score with Heart Failure – a Literature Review

Open Access
|Dec 2025

Figures & Tables

Summary of analyzed studies

AuthorYearSample sizeMean age (years)Study designImagingStatistical analysisMain findings
Naghavi et al.2620245,83062 ± 10Prospective cohort study (MESA)Non-contrast CAC scans enhanced by Al-enabled automated cardiac chamber volumetry and calcified plaque characterization

  • Survival analysis using Cox proportional hazards regression

  • Discrimination was assessed using time-dependent ROC area under the curve (AUC) and Uno’s C-statistic

  • AUC difference calculated using inverse probability of censoring weighting (IPCW) estimator

The AI–CAC model significantly improved the prediction of all CVD events (including HF, AF, and stroke) compared to the Agatston score alone.
Sakuragi et al.28201648769 ± 11Prospective cohort studyMDCT

  • One-way AN0VA and the Kruskal–Wallis test (for continuous variables)

  • Chi-squared test (for categorical variables)

  • Kaplan–Meier analysis with the log-rank test

  • Cox proportional hazards regression

Severe CAC is an independent determinant of high N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels and a predictor of admission for HF in patients without a history of CAD or HF.
Ota et al.25202255072.5 ± 13.5Retrospective cohort studyNon-ECG-gated MDCT Invasive coronary angiography

  • Mann-Whitney U test (for continuous variables)

  • Chi-squared test (for categorical variables)

  • Kaplan–Meier analysis with the log-rank test

  • Cox proportional hazards regression

Higher CAC score detected via non-contrast chest CT is significantly associated with all-cause mortality among patients with CHF.
Carr et al.2120173,04340.3 ± 3-6Prospective cohort study (CARDIA)Non-contrast CT

  • Cox proportional hazards regression adjusted for covariates

  • Poisson regression

  • Linear regression

In younger adults, a CAC score > 0 was associated with incident all CHD and all-cause death.
Kälsch et al.820104,23059 ± 8Prospective cohort study (Heinz Nixdorf Recall Study)EBCT

  • Mann-Whitney U test (for continuous variables)

  • Chi-squared test or Fisher’s exact test (for categorical variables)

  • Multivariable analysis using logistic regression

CAC is associated with the presence of CHF. This association is partially diminished after adjusting for traditional risk factors.
Haddad et al.1720222,08250.6 ± 17.0Prospective cohort studyNon-contrast CT

  • Multidimensional analysis using maximal information coefficient (MIC) to weight edges

  • Multivariable regression analysis

  • Stepwise linear regression

CAC score was independently associated with LV diastolic function.
de la Rosa et al.1120256,66762 ± 10Prospective cohort study (MESA)Non-contrast CT EBCT

  • Cox proportional hazards models and time-dependent ROC analysis

CAC score was a significant predictor of new-onset HFrEF.
Nitta et al.18201915771 ± 8 years for patients with CAC66 ±13 years for patients without CACRetrospective cohort studyNon-contrast CT Gated SPECT for myocardial perfusion TTE

  • Chi-squared test (for categorical variables)

  • Mann-Whitney U test (for continuous variables)

  • Pearson’s correlation

  • Linear regression analysis (univariate and multivariate)

Log-transformed CAC score was significantly and independently associated with indices of impaired LV diastolic function (PFR and 1/3MFR).
Mhaimeed et al.10202566,63654.4 ± 10.6Retrospective cohort studyNon-contrast CT EBCT

  • Student’s t test and Wilcoxon signed-rank test

  • Chi-squared test

  • Subdistribution hazard ratios (SHRs)

A higher CAC score was associated with an increasing incidence of HF-related mortality in primary prevention patients.
Kitjanukit et al.29202444262.5 ± 10.4Retrospective cohort studyNon-contrast CT

  • Extended Wilcoxon rank-sum test by Cuzick (for trending variables)

  • Cox regression (to estimate HR)

  • Weighted Cohen’s Kappa (to measure disagreement

Increasing CAC score categories were associated with a significantly increased HR for MACE.
Leening et al.520121,89769.9 ± 6.5Prospective populationbased cohort study (The Rotterdam Study)EBCT

  • Cox proportional hazards models (implied by use of HR, C-statistic, and reclassification metrics) Measures included c-statistic, integrated discrimination index (IDI), and continuous net reclassification index (NRI).

CAC has a clear and graded association with the risk of developing HF in the elderly population, independent of traditional cardiovascular risk factors and incident overt CHD
Fathala et al.6201920448 ± 13Retrospective cohort studyContrast CT ICA

  • Descriptive statistics

  • Pearson’s Chi-squared test

  • Independent samples t-test or ANOVA

  • Multivariate logistic regression

The mean CAC score was significantly higher in the CAD HF group compared to the non-CAD HF group.
Choi et al.19202515,19355.8 ± 8.6Longitudinal cohort studyNon-contrast CT Echocardiography

  • Linear regression models

  • Log-binomial regression

  • Linear mixed models

CAC ≥ 100 significantly affects the progression of DD independently of other clinical factors.
Singh et al.3020241,988DM cohort: 63.4 ± 8.9 Non-DM cohort: 60.3 ± 9.6Prospective cohort studyContrast CT

  • t-tests and p-tests (for categorical variables)

  • Survival analysis metrics including c-index and hazard ratio (HR)

  • Cox proportional hazard models with elastic net regularization

  • 5-f0ld cross-validation with bootstrap iterations

  • Kaplan–Meier curves

Models leveraging radiomic features of calcium-omics and epicardial adipose tissue (fat-omics) extracted via deep learning from CTCS scans showed competitive or superior performance in predicting incident HF compared to traditional models.
Wakaki et al.22202535368.6 ± 12.7Retrospective cohort studyNon-ECG-gated CT ICA

  • One-way ANOVA Kruskal–Wallis test

  • Chi-squared test

  • Log-rank test

  • Kaplan–Meier method

  • Univariable and multivariable analysis

The CAC score significantly predicted cardiovascular events (including CHF).
Hashimoto et al.23202110874 ±13Retrospective observational studyNon-contrast CT I-BMIPP SPECT

  • Chi-squared test

  • Kaplan–Meier method

  • Univariable and multivariable analysis

Increased CAC scores were associated with all-cause mortality in patients with CHF.
Tian et al.2720251,31056.5 ± 11.8Prospective cohort study (Chronic Renal Insufficiency Cohort)

  • t test and chi-squared test

  • Multiple imputation

  • Comparison of models using Akaike’s information criterion

  • Schoenfeld residuals to confirm proportional hazard assumptions

  • Survival analysis using methods appropriate for competing risks

Progression of CAC is associated with a higher risk of atherosclerotic CVD and all-cause mortality, but not with CHF.
Ahmad et at.1520256,59262 ± 10Prospective cohort study (MESA)Non-contrast CT EBCTChi-squared testANOVAKruskal–Wallis testKaplan–Meier plot and log-rank testMultivariable Cox proportional hazard models Proportional hazards assumption evaluated using Schoenfeld residuals and formal testing Benjamin-Hochberg (BH) adjusted p value.The combination of elevated IL-6 and CAC > 0 was associated with a higher risk of HFrEF, showing significant additive and multiplicative interactions. There was an antagonistic interaction for HFpEF.
Wada et al.20202398264.7 ± 6.6Prospective cohort study (NADESICO)Non-contrast CTUnivariable and multivariable analysis Cox proportional hazard models C-statistic analysisAdding the CAC score to the conventional cardiovascular risk factors (Suita score) significantly improved the predictive ability for future MACE in Japanese patients.
Elnagar et al.31202443548.04 ± 7.19 (Group I: CAC <400)and 49·77 ± 7.15 (Group II: CAC >400).Retrospective cohort studyContrast CTIndependent sample t-test Chi-squared test Multivariate logistic regression analysisCAC scores ≥ 400 predict MACE.
Sharma et al.1220175,28262 ± 10Prospective cohort study (MESA)Non-contrast CT EBCTCox proportional hazard models Proportional hazard assumption Test for trendThe CAC score was positively associated with incident HFpEF risk in women, but not in men.
Abunassar et al.3220114,394No prior HF/LV dysfunction: 51.7 ± 10.3 HF and abnormal EF: 58.8 ± 11.7 High-risk CAD: 62.1 ± 9.7Retrospective cohort studyContrast CTWilcoxon rank-sum test Fisher’s exact testCAC = 0 excludes ischemic cardiomyopathy in patients presenting with HF.
Lehmann et al.3320183,28158.7 ± 7·5Prospective cohort study (Heinz Nixdorf Recall study)EBCTChi-squared testMann-Whitney U test Univariate and multivariable logistic regressionMultivariable Cox proportional hazards regressionNet reclassification indexIntegrated discrimination indexThe CAC score is associated with CHF in persons without clinically overt CAD, but in longitudinal progression analysis, the predictive value of CAC progression has reduced risk prediction for CVDE when compared to the most recent CAC value.
DOI: https://doi.org/10.2478/jce-2025-0023 | Journal eISSN: 2457-5518 | Journal ISSN: 2457-550X
Language: English
Page range: 137 - 147
Submitted on: Oct 1, 2025
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Accepted on: Dec 13, 2025
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Published on: Dec 27, 2025
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2025 Daniel Stirbu, Grigore Tinica, Liviu Moraru, Klara Brînzaniuc, Bogdan Suciu, Raluca Ozana Chistol, Raluca Moraru, Cristina Furnica, published by Asociatia Transilvana de Terapie Transvasculara si Transplant KARDIOMED
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.