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The CatLet score: a new coronary angiographic scoring tool accommodating the variable coronary anatomy for the first time.
Xu, Ming-Xing; Teng, Ruo-Ling; Ruddy, Terrence D; Schoenhagen, Paul; Bartel, Thomas; Di Bartolomeo, Roberto; Aksoy, Olcay; Desai, Milind; von Kodolitsch, Yskert; Escaned, Javier; McCullough, Peter A; Vasudevan, Anupama; Shen, Cheng-Xing; Zhao, Xin; Zhou, Ya-Feng; Xu, Hai-Feng; Cheng, Xu-Jie; He, Yong-Ming.
Afiliação
  • Xu MX; Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Teng RL; Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Ruddy TD; Division of Cardiology, Heart Institute, University of Ottawa, Ottawa, Canada.
  • Schoenhagen P; Imaging Institute, Cleveland Clinic, Cleveland, OH, USA.
  • Bartel T; Department of Cardiovascular Medicine, Heart & Vascular Institute, Cleveland Clinic Abu Dhabi, Abu Dhabi, UAE.
  • Di Bartolomeo R; Cardio-Thoracic and Vascular Department, Division of Cardiac Surgery, S. Orsola Hospital, University of Bologna, Bologna, Italy.
  • Aksoy O; Division of Cardiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
  • Desai M; Department of Cardiovascular Medicine, Heart & Vascular Institute, Cleveland Clinic, Cleveland, OH, USA.
  • von Kodolitsch Y; Department of Cardiology, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
  • Escaned J; Department of Cardiology, Hospital San Carlos, Madrid, Spain.
  • McCullough PA; Division of Cardiology, Heart & Vascular Institute, Baylor University Medical Center, Dallas, TX, USA.
  • Vasudevan A; Division of Cardiology, Heart & Vascular Institute, Baylor University Medical Center, Dallas, TX, USA.
  • Shen CX; Department of Cardiology, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University, Shanghai 200233, China.
  • Zhao X; Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Zhou YF; Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Xu HF; Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • Cheng XJ; Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
  • He YM; Division of Cardiology, First Affiliated Hospital of Soochow University, Suzhou 215006, China.
J Thorac Dis ; 11(12): 5199-5209, 2019 Dec.
Article em En | MEDLINE | ID: mdl-32030237
BACKGROUND: The SYNTAX score for decision makings or outcome predictions in coronary artery disease does not account for the variations in the coronary anatomy, which is a clear fallacy for patients with less typical anatomy than suggested by the SYNTAX score. The current study aimed to derive a new coronary angiographic scoring system accommodating the variability in the coronary anatomy. METHODS: The 17-myocardial segment model and laws of competitive blood supply and flow conservation were utilized to derive this new scoring system. RESULTS: We obtained 6 types of RCA dominance, 3 types of diagonal size and 3 types of left anterior descending artery (LAD) length, which together resulted in a total of 54 patterns of coronary artery circulation to account for the variability in the coronary anatomy among individuals. A Coronary Artery Tree description and Lesion EvaluaTion (CatLet) angiographic scoring system has been designed based on the above-mentioned reclassification scheme (htpp://www.catletscore.com, IE browser is required to run this calculator). CONCLUSIONS: This new CatLet angiographic scoring system accommodated the variability in the coronary anatomy and standardized the collection of the coronary angiographic data, which could facilitate the comparison and exchange of these data between different catheter labs. Its utility for predicting the clinical outcomes and standardizing the angiographic data collection will be investigated in a series of clinical trials enrolling "all-comers" with coronary artery disease (CAD).
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2019 Tipo de documento: Article