ArticleAdvances in therapy2023
Establishment of a Nomogram for Predicting the Suboptimal Angiographic Outcomes of Coronary De Novo Lesions Treated with Drug-Coated Balloons.
Article in Advances in therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 2 citations in OpenAlex.
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Authors and funding
10 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
introductionFactors affecting the angiographic outcomes of coronary de novo lesions treated with drug-coated balloons (DCBs) have not been well illustrated. The aim of the study is to establish a nomogram for predicting the risk of suboptimal diameter stenosis (DS) at angiographic follow-up.
methodsA retrospective analysis was performed on a cohort of patients who underwent DCB intervention for coronary de novo lesions with angiographic follow-up data. Multivariable logistic regression analysis was applied to determine the independent predictors of DS ≥ 30% at follow-up, and then a nomogram model was established and validated.
resultsA total of 196 patients (313 lesions) were divided into the suboptimal (DS ≥ 30%) and optimal (DS < 30%) DS groups according to quantitative coronary angiography (QCA) measurements of the target lesions at follow-up. Seven independent factors including calcified lesions, true bifurcation lesions, immediate lumen gain rate (iLG%) < 20%, immediate diameter stenosis (iDS) ≥ 30%, DCB diameter/reference vessel diameter ratio (DCB/RVD) < 1.0, DCB length and mild dissection were identified. The area under the curve (AUC) (95% CI) of the receiver-operating characteristic (ROC) curve of the nomogram was 0.738 (0.683, 0.794). After the internal validation, the AUC (95% CI) was 0.740 (0.685, 0.795). The Hosmer-Lemeshow goodness of fit (GOF) test (χ
conclusionsThe well-calibrated nomogram could efficiently predict the suboptimal angiographic outcomes at follow-up. This model may be helpful to optimize lesion preparation to achieve optimal outcomes.
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