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Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture
Raman spectroscopy was applied to nail clippings from 633 postmenopausal British and Irish women, from six clinical sites, of whom 42% had experienced a fragility fracture. The objective was to build a prediction algorithm for fracture using data from four sites (known as the calibration set) and te...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Libertas Academica
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939848/ https://www.ncbi.nlm.nih.gov/pubmed/27429561 http://dx.doi.org/10.4137/CMAMD.S38493 |
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author | Beattie, James R. Cummins, Niamh M. Caraher, Clare O’Driscoll, Olive M. Bansal, Aruna T. Eastell, Richard Ralston, Stuart H. Stone, Michael D. Pearson, Gill Towler, Mark R. |
author_facet | Beattie, James R. Cummins, Niamh M. Caraher, Clare O’Driscoll, Olive M. Bansal, Aruna T. Eastell, Richard Ralston, Stuart H. Stone, Michael D. Pearson, Gill Towler, Mark R. |
author_sort | Beattie, James R. |
collection | PubMed |
description | Raman spectroscopy was applied to nail clippings from 633 postmenopausal British and Irish women, from six clinical sites, of whom 42% had experienced a fragility fracture. The objective was to build a prediction algorithm for fracture using data from four sites (known as the calibration set) and test its performance using data from the other two sites (known as the validation set). Results from the validation set showed that a novel algorithm, combining spectroscopy data with clinical data, provided area under the curve (AUC) of 74% compared to an AUC of 60% from a reduced QFracture score (a clinically accepted risk calculator) and 61% from the dual-energy X-ray absorptiometry T-score, which is in current use for the diagnosis of osteoporosis. Raman spectroscopy should be investigated further as a noninvasive tool for the early detection of enhanced risk of fragility fracture. |
format | Online Article Text |
id | pubmed-4939848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Libertas Academica |
record_format | MEDLINE/PubMed |
spelling | pubmed-49398482016-07-16 Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture Beattie, James R. Cummins, Niamh M. Caraher, Clare O’Driscoll, Olive M. Bansal, Aruna T. Eastell, Richard Ralston, Stuart H. Stone, Michael D. Pearson, Gill Towler, Mark R. Clin Med Insights Arthritis Musculoskelet Disord Original Research Raman spectroscopy was applied to nail clippings from 633 postmenopausal British and Irish women, from six clinical sites, of whom 42% had experienced a fragility fracture. The objective was to build a prediction algorithm for fracture using data from four sites (known as the calibration set) and test its performance using data from the other two sites (known as the validation set). Results from the validation set showed that a novel algorithm, combining spectroscopy data with clinical data, provided area under the curve (AUC) of 74% compared to an AUC of 60% from a reduced QFracture score (a clinically accepted risk calculator) and 61% from the dual-energy X-ray absorptiometry T-score, which is in current use for the diagnosis of osteoporosis. Raman spectroscopy should be investigated further as a noninvasive tool for the early detection of enhanced risk of fragility fracture. Libertas Academica 2016-05-31 /pmc/articles/PMC4939848/ /pubmed/27429561 http://dx.doi.org/10.4137/CMAMD.S38493 Text en © 2016 the author(s), publisher and licensee Libertas Academica Ltd. This is an open-access article distributed under the terms of the Creative Commons CC-BY-NC 3.0 License. |
spellingShingle | Original Research Beattie, James R. Cummins, Niamh M. Caraher, Clare O’Driscoll, Olive M. Bansal, Aruna T. Eastell, Richard Ralston, Stuart H. Stone, Michael D. Pearson, Gill Towler, Mark R. Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture |
title | Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture |
title_full | Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture |
title_fullStr | Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture |
title_full_unstemmed | Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture |
title_short | Raman Spectroscopic Analysis of Fingernail Clippings Can Help Differentiate Between Postmenopausal Women Who Have and Have Not Suffered a Fracture |
title_sort | raman spectroscopic analysis of fingernail clippings can help differentiate between postmenopausal women who have and have not suffered a fracture |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4939848/ https://www.ncbi.nlm.nih.gov/pubmed/27429561 http://dx.doi.org/10.4137/CMAMD.S38493 |
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