Literature DB >> 7560620

Development and validation of simplified predictive index for major complications in contemporary percutaneous transluminal coronary angioplasty practice. The Registry Committee of the Society for Cardiac Angiography and Interventions.

S E Kimmel1, J A Berlin, B L Strom, W K Laskey.   

Abstract

OBJECTIVES: This study was designed to determine the preprocedural risk factors for major complications (emergent coronary bypass surgery, myocardial infarction or death) of coronary angioplasty and to derive and validate a simplified index that predicts patients' a priori risk of complications.
BACKGROUND: Previous studies of risk factors for complications after coronary angioplasty may not be generalizable to current, broad-based angioplasty practice. Furthermore, to our knowledge a clinically useful predictive index has not been derived and independently validated.
METHODS: From data collected prospectively for the Registry of the Society for Cardiac Angiography and Interventions for 1992, multivariable logistic regression was used to determine which variables were independently associated with complications in 10,622 first angioplasty procedures. Stepwise regression and receiver operating characteristic curves then were used in this registry to develop a predictive index for complications that was validated using 5,250 first angioplasty procedures in the 1993 registry.
RESULTS: Predictors of major complications were multivessel disease, unstable angina, recent myocardial infarction, type C lesion or left main angioplasty, shock, age, geographic region and absence of previous coronary bypass surgery. The derived predictive index consisted of the first six of these variables plus aortic valve disease and classified patients into four risk groups: low (1.3% complications), moderate (2.8%), high (12.7%) and very high (29.7%) risk. This index demonstrated consistent reliability and discriminatory ability when applied to the 1993 data.
CONCLUSIONS: Predictors of major complications identified in selected populations also apply currently in broad-based practice. From these variables, a predictive index can stratify patients into risk groups before angioplasty, thus aiding in risk assessment, resource allocation and risk adjustment.

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Year:  1995        PMID: 7560620     DOI: 10.1016/0735-1097(95)00294-4

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  13 in total

1.  Prediction of long-term mortality after percutaneous coronary intervention in older adults: results from the National Cardiovascular Data Registry.

Authors:  William S Weintraub; Maria V Grau-Sepulveda; Jocelyn M Weiss; Elizabeth R Delong; Eric D Peterson; Sean M O'Brien; Paul Kolm; Lloyd W Klein; Richard E Shaw; Charles McKay; Laura L Ritzenthaler; Jeffrey J Popma; John C Messenger; David M Shahian; Frederick L Grover; John E Mayer; Kirk N Garratt; Issam D Moussa; Fred H Edwards; George D Dangas
Journal:  Circulation       Date:  2012-02-23       Impact factor: 29.690

2.  Multivariate prediction of major adverse cardiac events after 9914 percutaneous coronary interventions in the north west of England.

Authors:  A D Grayson; R K Moore; M Jackson; S Rathore; S Sastry; T P Gray; I Schofield; A Chauhan; F F Ordoubadi; B Prendergast; R H Stables
Journal:  Heart       Date:  2005-09-13       Impact factor: 5.994

3.  Risk scoring for percutaneous coronary intervention: let's do it!

Authors:  A Siotia; J Gunn
Journal:  Heart       Date:  2006-04-18       Impact factor: 5.994

4.  Prediction of success and major complications during elective coronary angioplasty.

Authors:  A P Haasdijk; M J de Boer; H Suryapranata; J C A Hoorntje; F Zijlstra
Journal:  Neth Heart J       Date:  2001-04       Impact factor: 2.380

5.  Contemporary mortality risk prediction for percutaneous coronary intervention: results from 588,398 procedures in the National Cardiovascular Data Registry.

Authors:  Eric D Peterson; David Dai; Elizabeth R DeLong; J Matthew Brennan; Mandeep Singh; Sunil V Rao; Richard E Shaw; Matthew T Roe; Kalon K L Ho; Lloyd W Klein; Ronald J Krone; William S Weintraub; Ralph G Brindis; John S Rumsfeld; John A Spertus
Journal:  J Am Coll Cardiol       Date:  2010-05-04       Impact factor: 24.094

Review 6.  Percutaneous Coronary Intervention: Relationship Between Procedural Volume and Outcomes.

Authors:  Apurva O Badheka; Sidakpal S Panaich; Shilpkumar Arora; Nilay Patel; Nileshkumar J Patel; Chirag Savani; Abhishek Deshmukh; Mauricio G Cohen
Journal:  Curr Cardiol Rep       Date:  2016-04       Impact factor: 2.931

7.  Development and validation of a Bayesian index for predicting major adverse cardiac events with percutaneous transluminal coronary angioplasty.

Authors:  A J de Belder; D E Jewitt; R J Wainwright; M R Thomas
Journal:  Heart       Date:  2001-01       Impact factor: 5.994

8.  Cumulative funnel plots for the early detection of interoperator variation: retrospective database analysis of observed versus predicted results of percutaneous coronary intervention.

Authors:  Babu Kunadian; Joel Dunning; Anthony P Roberts; Robert Morley; Darragh Twomey; James A Hall; Andrew G C Sutton; Robert A Wright; Douglas F Muir; Mark A de Belder
Journal:  BMJ       Date:  2008-03-26

9.  Tree-structured risk stratification of in-hospital mortality after percutaneous coronary intervention for acute myocardial infarction: a report from the New York State percutaneous coronary intervention database.

Authors:  Abdissa Negassa; E Scott Monrad; Ji Yon Bang; Vankeepuram S Srinivas
Journal:  Am Heart J       Date:  2007-08       Impact factor: 4.749

10.  Development and validation of a simple risk score to predict 30-day readmission after percutaneous coronary intervention in a cohort of medicare patients.

Authors:  Karl E Minges; Jeph Herrin; Paul N Fiorilli; Jeptha P Curtis
Journal:  Catheter Cardiovasc Interv       Date:  2016-08-12       Impact factor: 2.692

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