Prognostic value of coronary computer tomography fractional flow reserve for major adverse cardiac events in suspected coronary artery disease patients with low to intermediate Framingham Risk Score

Abstract Background: The purpose was to assess the prognostic value of coronary computed tomography fractional flow reserve (CT-FFR) to major adverse cardiac events (MACE) in suspected CAD patients with low to intermediate Framingham Risk Score (FRS).Methods: This retrospective study included 217 suspected CAD patients (651 vessels) who underwent coronary computed tomography angiography (CTA) between January 2016 and November 2019 in Li Yuan Hospital. Patients were categorized into low to intermediate risk group (FRS≤20%) and high risk group (FRS>20%) according to FRS. Assesses the patient's total segment involvement score (SIS) and segment stenosis score (SSS) and calculates the FFR value for each vessel based on deep learning. On the patient level, CT-FFR ≤0.8 in one or more vessels was defined as positive. The primary clinical endpoint was 2 years of MACE including non-fatal myocardial infarction, unstable angina, revascularization, and cardiac death. Survival analysis was performed, and the C-index and the Akaike Information Criterion (AIC) were used to assess the performance of each predictive model. Results: A total of 144 suspected CAD patients (432 vessels) with low to intermediate FRS were analyzed. MACE occurred in 9.7%. Patients with the low to intermediate FRS had a significant difference in MACE rate between the CT-FFR≤0.8 group and CT-FFR>0.8 group(log-rank, P<0.001). On multivariate Cox proportional analysis, only CT-FFR≤0.8 was significantly associated with MACE when adjusted for compound factors. Furthermore, the model with CT-FFR had higher C-index results.Conclusion: In suspected CAD patients with low to intermediate FRS, CT-FFR had added prognosis value over CTA for MACE occurred..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

ResearchSquare.com - (2023) vom: 15. Feb. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Huang, Wei [VerfasserIn]
Liu, Xiaoqi [VerfasserIn]
Liao, Hongli [VerfasserIn]
Cheng, Panpan [VerfasserIn]
Li, Yumin [VerfasserIn]
Zhou, Hongmei [VerfasserIn]
Dong, Yue [VerfasserIn]
Liu, Yuankang [VerfasserIn]
Wang, Pengyun [VerfasserIn]
Xu, Chengqi [VerfasserIn]
Xu, Xiangyang [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.21203/rs.3.rs-1926525/v1

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XRA037204815