Characteristics Detected on Computed Tomography Angiography Predict Coronary Artery Plaque Progression in Non-Culprit Lesions

Autor: Ying Zhou, Yundai Chen, Yahang Tan, Xiaobo Yang, Junjie Yang, Jia Zhou
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Male
Computed Tomography Angiography
medicine.medical_treatment
Coronary Artery Disease
Kaplan-Meier Estimate
030204 cardiovascular system & hematology
0302 clinical medicine
Risk Factors
Odds Ratio
030212 general & internal medicine
Myocardial infarction
Cardiovascular Imaging
Computed tomography angiography
medicine.diagnostic_test
Middle Aged
Prognosis
Plaque
Atherosclerotic
Adipose Tissue
Area Under Curve
Cardiology
Disease Progression
Original Article
Female
Radiology
medicine.medical_specialty
Coronary artery
Culprit
Plaque progression
03 medical and health sciences
Non-culprit lesion
Percutaneous Coronary Intervention
Internal medicine
Epicardial adipose tissue
medicine
Coronary computed tomography angiography
Humans
Radiology
Nuclear Medicine and imaging
Low attenuation plaque
Triglycerides
Aged
business.industry
Cholesterol
HDL
Percutaneous coronary intervention
Odds ratio
Cholesterol
LDL
medicine.disease
Confidence interval
Stenosis
Logistic Models
ROC Curve
Conventional PCI
business
Zdroj: Korean Journal of Radiology
ISSN: 2005-8330
1229-6929
Popis: Objective This study sought to determine whether variables detected on coronary computed tomography angiography (CCTA) would predict plaque progression in non-culprit lesions (NCL). Materials and methods In this single-center trial, we analyzed 103 consecutive patients who were undergoing CCTA and percutaneous coronary intervention (PCI) for culprit lesions. Follow-up CCTA was scheduled 12 months after the PCI, and all patients were followed for 3 years after their second CCTA examination. High-risk plaque features and epicardial adipose tissue (EAT) volume were assessed by CCTA. Each NCL stenosis grade was compared visually between two CCTA scans to detect plaque progression, and patients were stratified into two groups based on this. Logistic regression analysis was used to evaluate the factors that were independently associated with plaque progression in NCLs. Time-to-event curves were compared using the log-rank statistic. Results Overall, 34 of 103 patients exhibited NCL plaque progression (33%). Logistic regression analyses showed that the NCL progression was associated with a history of ST-elevated myocardial infarction (odds ratio [OR] = 5.855, 95% confidence interval [CI] = 1.391-24.635, p = 0.016), follow-up low-density lipoprotein cholesterol level (OR = 6.832, 95% CI = 2.103-22.200, p = 0.001), baseline low-attenuation plaque (OR = 7.311, 95% CI = 1.242-43.028, p = 0.028) and EAT (OR = 1.015, 95% CI = 1.000-1.029, p = 0.044). Following the second CCTA examination, major adverse cardiac events (MACEs) were observed in 12 patients, and NCL plaque progression was significantly associated with future MACEs (log rank p = 0.006). Conclusion Noninvasive assessment of NCLs by CCTA has potential prognostic value.
Databáze: OpenAIRE
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