CT-derived fractional flow reserve for prediction of major adverse cardiovascular events in diabetic patients

Autor: Ziting Lan, Xiaoying Ding, Yarong Yu, Lihua Yu, Wenli Yang, Xu Dai, Runjianya Ling, Yufan Wang, Wenyi Yang, Jiayin Zhang
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: Cardiovascular Diabetology, Vol 22, Iss 1, Pp 1-13 (2023)
Druh dokumentu: article
ISSN: 1475-2840
DOI: 10.1186/s12933-023-01801-y
Popis: Abstract Objectives To investigate the prognostic value of computed tomography fractional flow reserve (CT-FFR) in patients with diabetes and to establish a risk stratification model for major adverse cardiac event (MACE). Methods Diabetic patients with intermediate pre-test probability of coronary artery disease were prospectively enrolled. All patients were referred for coronary computed tomography angiography and followed up for at least 2 years. In the training cohort comprising of 957 patients, two models were developed: model1 with the inclusion of clinical and conventional imaging parameters, model2 incorporating the above parameters + CT-FFR. An internal validation cohort comprising 411 patients and an independent external test cohort of 429 patients were used to validate the proposed models. Results 1797 patients (mean age: 61.0 ± 7.0 years, 1031 males) were finally included in the present study. MACE occurred in 7.18% (129/1797) of the current cohort during follow- up. Multivariate Cox regression analysis revealed that CT-FFR ≤ 0.80 (hazard ratio [HR] = 4.534, p
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