ABC Stenosis Morphology Classification and Outcome of Coronary Angioplasty

Abstract

Background-The American College of Cardiology/American Heart Association (ACC/AHA) stenosis morphology classification (MC) stratifies coronary lesions for probability of success and complications after coronary angioplasty (PTCA). Modern computing techniques were used to evaluate the individual predictive value of MC in random PTCA cases. Methods and Results-MC was attributed to the target lesions by consensus of 2 observers. The predictive value regarding procedural success (PS) and major adverse cardiac events (MACE) of MC was analyzed by conventional logistic regression analyses and by inductive machine learning models.

Minimally invasive coronary artery bypass grafting versus percutaneous transluminal coronary angioplasty with stenting in isolated high-grade stenosis of the proximal left anterior descending coronary artery: Six months' angiographic and clinical follow-up of a prospective randomized study

“…In addition, clinical parameters (eg, diabetes mellitus comorbidity), stent design, direct stenting, and the use of GP2b/3a receptor blockers have major implications for the result of this revascularization strategy. 1,[15][16][17] The clinical implication for PTCA with stenting and MICAB therefore lies in the results of studies like these and studies with longer follow-up.…”

Decision Support Systems for Cardiovascular Diseases Based on Data Mining and Fuzzy Modelling

“…Different datasets were used in each method; therefore a direct comparison is not feasible. Some approaches (Budde, 1999;Tsipouras et al, 2006) are based on noninvasively acquired data, while others employ also data obtained from angiographies (Maier et al, 2001;Resnic et al, 2000), thus being invasive approaches. Data analysis is performed mainly using rule based systems (Budde, 1999, Maier et al, 2001, Figure 1.…”

“…Computer aided methodologies for the prediction of clinical restenosis have also been proposed in the literature. These can be divided into two categories, regarding the data they use for the analysis: methods that employ only CAD risk factors such as demographic, history, and clinical data (Budde, 1999;Tsipouras et al, 2006) and methods that combine CAD risk factors with angiographic features (Maier, Mini, Antoni, Wischnewski, & Meier, 2001; Resnic, Popma, Ohno-Machado, 2000).…”

Predictive factors of complications after coronary stent implantation

“…The use of multiple stents was also associated with a greater risk, probably due to the larger metallic surface, and also to their overlapping 10,11 . The complexity of the lesion has traditionally been one of the factors most frequently associated with major cardiovascular complications in most studies analyzing predictive factors of complications after coronary angioplasty 6,9,20 ; however, its importance has been questioned when the procedure involves stent placement 12 . The complexity of the lesion was one of the variables independently associated with complications in the studies by Moscucci et al 6 and by Holmes et al 5 , but not in the study by Schünlen et al 11 .…”

“…In the recently published dynamic NHLBI registry, the incidence of acute myocardial infarction remained around 3%, of urgent surgery around 1.5%, of death around 2%, and overall success of the procedure around 92% 1 . However, few studies have analyzed the predictive factors of complications after percutaneous procedures using only stents [5][6][7][8][9][10][11][12] . Predictive models of complications based on angioplasty studies may overestimate events when applied to a series of patients treated only with stents 5 .…”