Literature DB >> 10801997

A simplified lesion classification for predicting success and complications of coronary angioplasty. Registry Committee of the Society for Cardiac Angiography and Intervention.

R J Krone1, W K Laskey, C Johnson, S E Kimmel, L W Klein, B H Weiner, J J Cosentino, S A Johnson, J D Babb.   

Abstract

In 1988, the American College of Cardiology/American Heart Association (ACC/AHA) Task Force on Assessment of Diagnostic and Therapeutic Cardiovascular Procedures presented a classification of coronary lesions utilizing 26 lesion features to predict the success and complications of balloon angioplasty. Using data from the Registry of the Society for Cardiac Angiography and Interventions (SCAI) we evaluated the ability of this classification to predict success and complications. Lesion success, death in hospital, emergency cardiac bypass surgery, and major adverse events were evaluated in 41,071 patients who underwent single-vessel angioplasty from January 1993 to June 1996. Logistic models using the ACC/AHA lesion classification, vessel patency, or both, were compared. A new classification based on the interaction of the ACC/AHA classification plus lesion patency was compared with the existing ACC/AHA classification. Vessel patency, added to the ACC/AHA classification, improved prediction of lesion success (p </=0.0001). Class A and patent B lesions had similar success and complication rates, so a simplified classification (SCAI) using only 7 lesion characteristics could be created. This system (I: non-C patent, II: C patent, III: non-C occluded, and IV: C occluded) improved prediction of lesion success compared with the ACC/AHA classification (Bayesian Information Criterion statistic: ACC/AHA 16539, SCAI 15956; and area under the receiver- operating characteristics curve 0.659, 0.693, respectively). The SCAI classification was preferred for predicting major complications and in-hospital death and was similar to the ACC/AHA classification for predicting emergency bypass surgery.

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Year:  2000        PMID: 10801997     DOI: 10.1016/s0002-9149(00)00724-4

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  5 in total

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Authors:  C D Kratz; M Christ; B Maisch; K M Kerwat; C Olt; A Zielke; A Hellinger; H Wulf; G Geldner
Journal:  Anaesthesist       Date:  2004-09       Impact factor: 1.041

2.  Do plaque-related factors affect the diagnostic performance of an artificial intelligence coronary-assisted diagnosis system? Comparison with invasive coronary angiography.

Authors:  Jie Xu; Linli Chen; Xiaojia Wu; Chuanming Li; Guangyong Ai; Yuexi Liu; Bitong Tian; Dajing Guo; Zheng Fang
Journal:  Eur Radiol       Date:  2021-09-26       Impact factor: 5.315

3.  Changing trends in the incidence, management and outcomes of coronary artery perforation over an 11-year period: single-centre experience.

Authors:  Hamza Umar; Harish Sharma; Mohammed Osheiba; Ashwin Roy; Peter F Ludman; Jonathan N Townend; M Adnan Nadir; Sagar N Doshi; Sudhakar George; Alex Zaphiriou; Sohail Q Khan
Journal:  Open Heart       Date:  2022-04

4.  Association of door-to-balloon time and mortality in patients admitted to hospital with ST elevation myocardial infarction: national cohort study.

Authors:  Saif S Rathore; Jeptha P Curtis; Jersey Chen; Yongfei Wang; Brahmajee K Nallamothu; Andrew J Epstein; Harlan M Krumholz
Journal:  BMJ       Date:  2009-05-19

5.  Relation between the ankle-brachial index and the complexity of coronary artery disease in older patients.

Authors:  Felipe José de Andrade Falcão; Cláudia Maria Rodrigues Alves; Adriano Caixeta; Leonardo de Freitas Guimarães; Juscélio Trajano de Sousa Filho; Juliana A Soares; Izo Helber; Antônio C Carvalho
Journal:  Clin Interv Aging       Date:  2013-12-02       Impact factor: 4.458

  5 in total

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