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Predictive value of intravascular ultrasound for the function of intermediate coronary lesions
Journal article   Peer reviewed

Predictive value of intravascular ultrasound for the function of intermediate coronary lesions

Yajuan Zhu, Guowei Zhou, Lei Yang, Keng Liu, Yuning Xie, Wen-Yi Yang and Qiuyan Dai
BMC cardiovascular disorders, Vol.23(1), pp.1-10
14/09/2023
PMID: 37710160

Abstract

Angiology Blood Transfusion Medicine Cardiac Surgery Cardiology General Internal Medicine Medicine Medicine & Public Health
Background Intravascular ultrasound (IVUS) can provide detailed coronary anatomic parameters. The purpose of our study was to evaluate the parameters measured by IVUS for the prediction of intermediate coronary lesions function by referencing quantitative fraction ratio (QFR) ≤ 0.80 (vs. > 0.80). Methods Eighty four cases with 92 intermediate coronary lesions in vessels with a diameter ≥ 2.50 mm were enrolled. Paired assessment of IVUS and cQFR was available, and vessels with cQFR ≤ 0.8 were considered the positive reference standard. Logistic regression was used to select model variables by a maximum partial likelihood estimation test and receiver operating characteristic curve (ROC) analysis to evaluate the diagnostic value of different indices. Results Plaque burden (PB) and lesion length (LL) of IVUS were independent risk factors for the function of coronary lesions. The predictive probability P was derived from the combined PB and LL model. The area under the curve (AUC) of PB, (minimum lumen area) MLA, and LL and the predicted probability P are 0.789,0.732,0731, and 0.863, respectively ( P  < 0.01). The AUC of the predicted probability P was the biggest among them; the prediction accuracy of cQFR ≤ 0.8 was 84.8%, and the sensitivity of the diagnostic model was 0.826, specificity was 0. 725, and P  < 0.01. Conclusion PB and LL of IVUS were independent risk factors influencing the function of intermediate coronary lesions. The model combining the PB and LL may predict coronary artery function better than any other single parameter.
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https://doi.org/10.1186/s12872-023-03489-0View
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