Open AccessInter- and intra-observer variability for the assessment of coronary artery tree description and lesion EvaluaTion (CatLet©) angiographic scoring system in patients with acute myocardial infarction
Author(s) -
Jinmei Liu,
Yang He,
Ruo-Ling Teng,
Xiaodong Qian,
Yunlang Dai,
Jianping Xu,
Xin Zhao,
Tingbo Jiang,
Yang He
Publication year - 2020
Publication title -
chinese medical journal/chinese medical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.537
H-Index - 63
eISSN - 2542-5641
pISSN - 0366-6999
DOI - 10.1097/cm9.0000000000001208
Subject(s) - medicine , reproducibility , kappa , myocardial infarction , percutaneous coronary intervention , cohen's kappa , cardiology , confidence interval , radiology , philosophy , linguistics , statistics , mathematics , machine learning , computer science
Previously, we developed a novel Coronary Artery Tree description and Lesion EvaluaTion (CatLet©) angiographic scoring system, which was capable of accounting for the variability in the coronary anatomy and assisting in the risk-stratification of patients with acute myocardial infarction (AMI). Our preliminary study revealed that the CatLet score better predicted clinical outcomes for AMI patients than the Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery score. However, the reproducibility of the CatLet score in both inter- and intra-observer remains to be evaluated.