Prognostic importance of quantitative analysis of coronary cineangiograms
dc.contributor.author | Mancini, G. B. John | en_US |
dc.contributor.author | Bourassa, Martial G. | en_US |
dc.contributor.author | Williamson, Paula R. | en_US |
dc.contributor.author | Leclerc, Guy | en_US |
dc.contributor.author | DeBoe, Scott F. | en_US |
dc.contributor.author | Pitt, Bertram | en_US |
dc.contributor.author | Lesperance, Jacques | en_US |
dc.date.accessioned | 2006-04-10T15:15:43Z | |
dc.date.available | 2006-04-10T15:15:43Z | |
dc.date.issued | 1992-04-15 | en_US |
dc.identifier.citation | Mancini, G. B. John, Bourassa, Martial G., Williamson, Paula R., Leclerc, Guy, DeBoe, Scott F., Pitt, Bertram, Lesperance, Jacques (1992/04/15)."Prognostic importance of quantitative analysis of coronary cineangiograms." The American Journal of Cardiology 69(12): 1022-1027. <http://hdl.handle.net/2027.42/30104> | en_US |
dc.identifier.uri | http://www.sciencedirect.com/science/article/B6T10-4C7VHHX-JP/2/71fcbe478c3142e9040390e3036aeadb | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/30104 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=1561972&dopt=citation | en_US |
dc.description.abstract | Many studies have shown the prognostic value of angiographic data, but few have examined quantitative parameters of wall motion and shape or coronary stenosis severity. To determine whether these parameters have prognostic importance, baseline angiograms of 283 patients with up to 11.2 years (mean 8.3) of follow-up were quantitated. Event-free survival curves were constructed using log-rank testing. These indexes were also considered in 2 predictive models (Cox regression models): 1 with ("clinical") and 1 without ("quantitative") subjective angiographic analysis and clinical information. Regional shape (anterior and inferior walls) and motion (anterior wall only) indexes were predictive of event-free survival when considered singly. But these parameters were not of independent prognostic importance in the regression models. The most important independent parameters in the quantitative model for predicting overall cardiac mortality or an initial lethal cardiac event were the ejection fraction and the percent diameter narrowing of each major coronary artery. Myocardial infarction was predicted by the percent diameter stenosis of the left main and left anterior descending arteries but not the ejection fraction. In the clinical model, the factors of overriding prognostic importance were the ejection fraction and the subjective determination of the number of vessels involved with "significant" stenoses. Quantitative coronary arteriography still contributed independent prognostic value. Thus, quantification of the ejection fraction and severity of coronary lesions were of independent, prognostic importance, whereas indexes of regional function and shape were not. | en_US |
dc.format.extent | 768917 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Elsevier | en_US |
dc.title | Prognostic importance of quantitative analysis of coronary cineangiograms | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Internal Medicine and Specialties | en_US |
dc.subject.hlbtoplevel | Health Sciences | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Divisions of Cardiology, University of Michigan and Veterans Administration Medical Center, Ann Arbor, Michigan, U.S.A.; Montreal Heart Institute, Montreal, Quebec, Canada | en_US |
dc.contributor.affiliationum | Montreal Heart Institute, Montreal, Quebec, Canada; Divisions of Cardiology, University of Michigan and Veterans Administration Medical Center, Ann Arbor, Michigan, U.S.A. | en_US |
dc.contributor.affiliationum | Montreal Heart Institute, Montreal, Quebec, Canada; Divisions of Cardiology, University of Michigan and Veterans Administration Medical Center, Ann Arbor, Michigan, U.S.A. | en_US |
dc.contributor.affiliationum | Montreal Heart Institute, Montreal, Quebec, Canada; Divisions of Cardiology, University of Michigan and Veterans Administration Medical Center, Ann Arbor, Michigan, U.S.A. | en_US |
dc.contributor.affiliationum | Montreal Heart Institute, Montreal, Quebec, Canada; Divisions of Cardiology, University of Michigan and Veterans Administration Medical Center, Ann Arbor, Michigan, U.S.A. | en_US |
dc.contributor.affiliationum | Montreal Heart Institute, Montreal, Quebec, Canada; Divisions of Cardiology, University of Michigan and Veterans Administration Medical Center, Ann Arbor, Michigan, U.S.A. | en_US |
dc.contributor.affiliationum | Montreal Heart Institute, Montreal, Quebec, Canada; Divisions of Cardiology, University of Michigan and Veterans Administration Medical Center, Ann Arbor, Michigan, U.S.A. | en_US |
dc.identifier.pmid | 1561972 | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/30104/1/0000476.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1016/0002-9149(92)90857-U | en_US |
dc.identifier.source | The American Journal of Cardiology | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.