In:
Circulation, Ovid Technologies (Wolters Kluwer Health), Vol. 142, No. Suppl_3 ( 2020-11-17)
Abstract:
Introduction: Coronary artery calcifications (CAC) Agatston score has shown an excellent prognostic value and particularly in diabetic patients, with a very low rate of cardiovascular (CV) events in patients with zero CAC score. Recent studies have suggested that high-sensitive cardiac troponin I (hs-cTnI) and brain natriuretic peptide (BNP) may be useful to detect subclinical atherosclerosis. Hypothesis: To assess the predictive value of hs-cTnI and BNP to predict zero CAC score in diabetic patients. Methods: Between 2015 and 2019, CAC score was performed in consecutive patients with diabetes mellitus. Patients with symptoms, coronary artery disease or atrial fibrillation were excluded. Within 24h from CT examination, blood samples were taken to measure hs-cTnI and BNP. The relationship between hs-cTnI/BNP concentrations and zero CAC score was evaluated using univariate and multivariate binomial models, and nested models associated with Chi-squared test of independence. Results: Among 844 diabetic patients (61±7 years, 57% men, duration of diabetes 18 years), 35% had zero CAC score, 30% a score from 1-100, 19% from 101-400, and 16% 〉 400. Hs-cTnI/BNP were associated with zero CAC score (OR 2.63, 95%CI[1.51-5.01]; p 〈 0.001; OR 1.09, 95%CI[1.01-1.22]; p=0.03 respectively). In multivariate analysis, hs-cTnI/BNP were associated with zero CAC score (OR 2.38, 95%CI[1.51-4.76] ; p=0.009; OR 1.18, 95%CI[1.07-1.32]; p=0.001 respectively). Among 77 variables, the multivariate model including age, gender, smoking, dyslipidaemia, duration of the diabetes, hypertension, diabetic neuropathy, hs-cTnI and BNP significantly discriminated the zero CAC score (AUC=0.81; p 〈 0.001). In nested models, both hs-cTnI and BNP brought information to this multivariate model to predict zero CAC score (p 〈 0.001). Conclusions: Biomarkers hs-cTnI and BNP are associated with zero CAC score in diabetic patients.
Type of Medium:
Online Resource
ISSN:
0009-7322
,
1524-4539
DOI:
10.1161/circ.142.suppl_3.13887
Language:
English
Publisher:
Ovid Technologies (Wolters Kluwer Health)
Publication Date:
2020
detail.hit.zdb_id:
1466401-X
