ArticleHeart and vessels2020
Predictive value of abdominal aortic calcification index for mid-term cardiovascular events in patients with acute coronary syndrome.
Article in Heart and vessels, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06956924 (CT-Based Abdominal Aortic Calcium Score and CAD-RADS 2.0 in Elderly Chest Pain), which is not on this map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
CT-Based Abdominal Aortic Calcium Score and CAD-RADS 2.0 in Elderly Chest Pain: A Cohort Study
Who cites it
4 citing papers in PubMed.
- Opportunistic assessment of abdominal aortic calcification using artificial intelligence (AI) predicts coronary artery disease and cardiovascular events.American heart journal · 2025Article
- Association between aortic calcification and cytokine levels in patients with peripheral artery disease.Clinical and translational science · 2024Article
- Rapid Progression of Aortic Calcification in Older Men with Low Appendicular Lean Mass and Poor Physical Function.The journal of nutrition, health & aging · 2021Article
- Role of Advanced Glycation End Products on Aortic Calcification in Patients with Type 2 Diabetes Mellitus.Journal of clinical medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The utility of abdominal aortic calcification (AAC) for prediction of cardiovascular events (CVEs) in patients with acute coronary syndrome (ACS) remains to be determined. The aim of this prospective study was to determine the predictive value of the abdominal aortic calcification index (ACI), a semi-quantitative measure of AAC, for CVEs in patients with ACS. We evaluated 314 patients with ACS. All patients underwent successful percutaneous coronary intervention to the culprit coronary vessel without in-hospital adverse events. ACI was calculated on non-contrast computed tomography images. CVEs were defined as a composite of cardiovascular death, ACS recurrence, and stroke. During a median follow-up period of 19.1 months, CVEs occurred in 29 patients (9.2%). Multivariable regression analysis after adjustment for age and gender showed a significantly higher baseline ACI in patients with CVEs than in those without [median (interquartile ranges), 42.1 (25.9-60.2) vs. 20.8 (8.8-38.6) %; P = 0.021]. The cutoff value of ACI for prediction of CVEs, estimated by receiver-operating characteristic analysis, was 29.2%, with sensitivity of 76% and specificity of 64% (area under the curve, 0.69). After adjustment for conventional cardiovascular risk factors, Cox analysis showed high ACI (≥29.2%) to be significantly associated with increased risk of CVEs (P = 0.011; hazard ratio, 1.82). Multivariate analysis identified high ACI as an independent predictor of CVEs (P = 0.012; hazard ratio, 1.80). Stepwise forward selection procedure also showed that high ACI was a significant independent determinant of CVEs (P = 0.004; R
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Registered trials
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