ArticleAsian biomedicine : research, reviews and news2024
Predictive model for left main coronary artery or triple vessel disease in patients with chronic coronary syndromes.
Article in Asian biomedicine : research, reviews and news, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Prediction of the severity of patients with chronic coronary syndrome.Asian biomedicine : research, reviews and news · 2024Article
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2 authors.
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Abstract
Background: Data about prediction of left main coronary artery disease (LMCAD)/three-vessel disease (TVD) in patients with chronic coronary syndromes (CCS) are lacking. Objectives: This study aimed to develop a model for predicting patients at risk of LMCAD/TVD. Methods: This study used retrospective data from patients with CCS scheduled for invasive coronary angiography (ICA) and who were retrospectively recruited between January 2018 and December 2020. Predictors were obtained and analyzed by using logistic regression analysis, and generated the prediction score. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. The cut-off value and area under the curve (AUC) were analyzed by using the receiver operating characteristic (ROC) curve. Results: We recruited 162 patients with CCS. There were 75 patients in the non-LMCAD/TVD and 87 patients in the LMCAD/TVD groups. After the multivariate analysis, new onset of heart failure (HF) or left ventricular systolic dysfunction (LVSD) and suspected CAD, ST elevation (STE) in aVR, STE in V Conclusions: The CCS patients with new onset of HF or LVSD and suspected CAD, STE in aVR, and STE in V
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