Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics. Brindle, J. T., Antti, H., Holmes, E., Tranter, G., Nicholson, J. K., Bethell, H. W. L., Clarke, S., Schofield, P. M., McKilligin, E., Mosedale, D. E., & Grainger, D. J. Nature Medicine, 8(12):1439–1445, December, 2002. Bandiera_abtest: a Cg_type: Nature Research Journals Number: 12 Primary_atype: Advertorial Publisher: Nature Publishing Group![Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using 1H-NMR-based metabonomics [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Although a wide range of risk factors for coronary heart disease have been identified from population studies, these measures, singly or in combination, are insufficiently powerful to provide a reliable, noninvasive diagnosis of the presence of coronary heart disease. Here we show that pattern-recognition techniques applied to proton nuclear magnetic resonance (1H-NMR) spectra of human serum can correctly diagnose not only the presence, but also the severity, of coronary heart disease. Application of supervised partial least squares-discriminant analysis to orthogonal signal-corrected data sets allows \textgreater90% of subjects with stenosis of all three major coronary vessels to be distinguished from subjects with angiographically normal coronary arteries, with a specificity of \textgreater90%. Our studies show for the first time a technique capable of providing an accurate, noninvasive and rapid diagnosis of coronary heart disease that can be used clinically, either in population screening or to allow effective targeting of treatments such as statins.
@article{brindle_rapid_2002,
title = {Rapid and noninvasive diagnosis of the presence and severity of coronary heart disease using {1H}-{NMR}-based metabonomics},
volume = {8},
copyright = {2002 Nature Publishing Group},
issn = {1546-170X},
url = {https://www.nature.com/articles/nm802},
doi = {10/bdjd29},
abstract = {Although a wide range of risk factors for coronary heart disease have been identified from population studies, these measures, singly or in combination, are insufficiently powerful to provide a reliable, noninvasive diagnosis of the presence of coronary heart disease. Here we show that pattern-recognition techniques applied to proton nuclear magnetic resonance (1H-NMR) spectra of human serum can correctly diagnose not only the presence, but also the severity, of coronary heart disease. Application of supervised partial least squares-discriminant analysis to orthogonal signal-corrected data sets allows {\textgreater}90\% of subjects with stenosis of all three major coronary vessels to be distinguished from subjects with angiographically normal coronary arteries, with a specificity of {\textgreater}90\%. Our studies show for the first time a technique capable of providing an accurate, noninvasive and rapid diagnosis of coronary heart disease that can be used clinically, either in population screening or to allow effective targeting of treatments such as statins.},
language = {en},
number = {12},
urldate = {2021-10-19},
journal = {Nature Medicine},
author = {Brindle, Joanne T. and Antti, Henrik and Holmes, Elaine and Tranter, George and Nicholson, Jeremy K. and Bethell, Hugh W. L. and Clarke, Sarah and Schofield, Peter M. and McKilligin, Elaine and Mosedale, David E. and Grainger, David J.},
month = dec,
year = {2002},
note = {Bandiera\_abtest: a
Cg\_type: Nature Research Journals
Number: 12
Primary\_atype: Advertorial
Publisher: Nature Publishing Group},
pages = {1439--1445},
}
Downloads: 0
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