| Autor: |
Jianchang Zhou, Liping Ji, Zhihong Meng, Fan Zhang, Yujia Cao, Wenhui Li |
| Jazyk: |
čínština |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Guoji laonian yixue zazhi, Vol 45, Iss 4, Pp 459-463 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
1674-7593 |
| DOI: |
10.3969/j.issn.1674-7593.2024.04.014&lang=en |
| Popis: |
Objective To analyze the predictive value of cardiovascular magnetic resonance (CMR) myocardial perfusion imaging combined with CT fractional flow reserve(CT-FFR) parameters in predicting cardiovascular adverse events in obstructive coronary heart disease. Methods A prospective study was conducted in 180 patients with obstructive coronary heart disease (coronary artery stenosis ≥ 50%) who were treated in the Second Affiliated Hospital of Hebei North University from June 2018 to June 2022. All patients underwent CT angiography and CMR myocardial perfusion imaging, and the occurrence of cardiovascular adverse events within 1 year was collected by on-site follow-up or telephone follow-up. Univariate and multivariate logistic regression models were used to analyze the influencing factors of cardiovascular adverse events; ROC curves were used to assess the predictive efficacy of different prediction models for the occurrence of cardiovascular adverse events. Results A total of 45 patients developed cardiovascular adverse events (observation group), and the remaining 135 patients were controls. Compared with the control group, the age, male ratio, smoking patient ratio, total cholesterol level, diabetes mellitus ratio, hyperlipidemia ratio, first-pass perfusion time and myocardial delayed enhancement signal value of the observation group increased, while the CT-FFR and maximum slope(Slopemax) index decreased, and the differences were statistically significant (P |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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