| A prognostic computer model to predict individual outcome in interventional cardiology. The INTERVENT Project. | |
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MedLine Citation:
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PMID: 9347272 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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It is not yet possible to predict an individual's outcome from percutaneous transluminal coronary angioplasty or alternative/adjunctive coronary interventional techniques. The purpose of the INTERVENT project is to redefine complications associated with coronary interventions, to set up a prognostic computer model to predict individual outcome and to compare the results to those of conventional statistical techniques. 2500 data items were analysed in 455 consecutive patients (mean age: 61.1 +/- 8.3 years; range 33-84 years; 80.4% male, 16.7% unstable angina, 5.1%/10.1% acute/subacute myocardial infarction) undergoing coronary interventions at three university centres. In-lab/out-of-lab complication rates were 0.4%/0.9% (death), 1.8%/0.2% (abrupt vessel closure with myocardial infarction) and 5.5%/4.0% (haemodynamic complications). Computer algorithms derived by applying techniques from artificial intelligence were able (1) to reduce the set of possible relevant risk factors from 2500 to about 40, (2) to predict individual risk with an accuracy of > 95% and (3) to explain the structural relationship between outcome and risk factors. Patient data from two centres were used to construct and test the algorithm. Data from a third centre were used to evaluate the algorithm. The most important predictors-were acute myocardial infarction, heart failure (NYHA class > II), unstable angina, complex lesions, high low density lipoprotein cholesterol and duration of coronary heart disease. Neither age nor gender impaired the percutaneous transluminal coronary angioplasty results in acute ischaemic syndromes; however, for stable angina, procedural risk increased with age. There was little risk from primary percutaneous transluminal coronary angioplasty in acute myocardial infarction in patients with NYHA heart failure classes I-II; however, the risk was high for patients in NYHA classes > II, either with or without additional thrombolysis. Alternative/adjunctive intervention techniques were no predictors for in-lab-, but were predictors for post-procedural complications. |
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Authors:
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T Budde; M Haude; H W Höpp; S Kerber; G Caspari; G Fassbender; M Fingerhut; I Novopashenny; G Breithardt; R Erbel; E Erdmann; M B Wischnewsky |
Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: European heart journal Volume: 18 ISSN: 0195-668X ISO Abbreviation: Eur. Heart J. Publication Date: 1997 Oct |
Date Detail:
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Created Date: 1997-11-24 Completed Date: 1997-11-24 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 8006263 Medline TA: Eur Heart J Country: ENGLAND |
Other Details:
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Languages: eng Pagination: 1611-9 Citation Subset: IM |
Affiliation:
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Department of Cardiology and Angiology, Hospital of the Westfälische Wilhelms-University of Münster, Germany. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Adult Aged Aged, 80 and over Algorithms Angioplasty, Transluminal, Percutaneous Coronary / adverse effects Artificial Intelligence Cardiology / methods* Computer Simulation* Coronary Disease / therapy* Female Humans Male Middle Aged Pilot Projects Predictive Value of Tests Risk Factors Thrombolytic Therapy / adverse effects Treatment Outcome |
| Comments/Corrections | |
Comment In:
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Eur Heart J. 1997 Oct;18(10):1527
[PMID:
9347261
]
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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