Multivariate injury risk criteria and injury probability scores for fractures to the distal radius.
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| Title: | Multivariate injury risk criteria and injury probability scores for fractures to the distal radius. |
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| Authors: | Burkhart, Timothy A.1 tburkhar@uwo.ca, Andrews, David M.2, Dunning, Cynthia E.1 |
| Source: | Journal of Biomechanics. 2013, Vol. 46 Issue 5, p973-978. 6p. |
| Subjects: | Bone fractures, Weibull distribution, Prediction models, Multivariate analysis, Data analysis, Probability theory |
| Abstract: | The purpose of this study was to develop a multivariate distal radius injury risk prediction model that incorporates dynamic loading variables in multiple directions, and interpret the distal radius failure data in order to establish injury probability thresholds. Repeated impacts with increasing intensity were applied to the distal third of eight human cadaveric radius specimens (mean (SD) age = 61.9 (9.7)) until injury occurred. Crack (non-propagating damage) and fracture (specimen separated into at least two fragments) injury events were recorded. Best subsets analysis was performed to find the best multivariate injury risk model. Force-only risk models were also determined for comparison. Cumulative distribution functions were developed from the parameters of a Weibull analysis and the forces and risk scores (i.e., values calculated from the injury risk models) from 10% to 90% probability were calculated. According to the adjusted R², variance inflation factor and p-values, the model that best predicted the crack event included medial/lateral impulse, Fz load rate, impact velocity and the natural logarithm of Fz (Adj. R² = 0.698), while the best predictive model of the fracture event included medial/lateral impulse, impact velocity and peak Fz (Adj. R² = 0.845). The multivariate models predicted injury risk better than both the Fz-only crack (Adj. R²=0.551) and fracture (Adj. R²=0.293) models. Risk scores of 0.5 and 0.6 corresponded to 10% failure probability for the crack and fracture events, respectively. The inclusion of medial/lateral impulse and impact velocity in both crack and fracture models, and Fz load rate in the crack model, underscores the dynamic nature of these events. This study presents a method capable of developing a set of distal radius fracture prediction models that can be used in the assessment and development of distal radius injury prevention interventions. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Biomechanics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 85917953 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Multivariate injury risk criteria and injury probability scores for fractures to the distal radius. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Burkhart%2C+Timothy+A%2E%22">Burkhart, Timothy A.</searchLink><relatesTo>1</relatesTo><i> tburkhar@uwo.ca</i><br /><searchLink fieldCode="AR" term="%22Andrews%2C+David+M%2E%22">Andrews, David M.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Dunning%2C+Cynthia+E%2E%22">Dunning, Cynthia E.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Biomechanics%22">Journal of Biomechanics</searchLink>. 2013, Vol. 46 Issue 5, p973-978. 6p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Bone+fractures%22">Bone fractures</searchLink><br /><searchLink fieldCode="DE" term="%22Weibull+distribution%22">Weibull distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Prediction+models%22">Prediction models</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Probability+theory%22">Probability theory</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The purpose of this study was to develop a multivariate distal radius injury risk prediction model that incorporates dynamic loading variables in multiple directions, and interpret the distal radius failure data in order to establish injury probability thresholds. Repeated impacts with increasing intensity were applied to the distal third of eight human cadaveric radius specimens (mean (SD) age = 61.9 (9.7)) until injury occurred. Crack (non-propagating damage) and fracture (specimen separated into at least two fragments) injury events were recorded. Best subsets analysis was performed to find the best multivariate injury risk model. Force-only risk models were also determined for comparison. Cumulative distribution functions were developed from the parameters of a Weibull analysis and the forces and risk scores (i.e., values calculated from the injury risk models) from 10% to 90% probability were calculated. According to the adjusted R², variance inflation factor and p-values, the model that best predicted the crack event included medial/lateral impulse, Fz load rate, impact velocity and the natural logarithm of Fz (Adj. R² = 0.698), while the best predictive model of the fracture event included medial/lateral impulse, impact velocity and peak Fz (Adj. R² = 0.845). The multivariate models predicted injury risk better than both the Fz-only crack (Adj. R²=0.551) and fracture (Adj. R²=0.293) models. Risk scores of 0.5 and 0.6 corresponded to 10% failure probability for the crack and fracture events, respectively. The inclusion of medial/lateral impulse and impact velocity in both crack and fracture models, and Fz load rate in the crack model, underscores the dynamic nature of these events. This study presents a method capable of developing a set of distal radius fracture prediction models that can be used in the assessment and development of distal radius injury prevention interventions. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Biomechanics is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.jbiomech.2012.12.003 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 6 StartPage: 973 Subjects: – SubjectFull: Bone fractures Type: general – SubjectFull: Weibull distribution Type: general – SubjectFull: Prediction models Type: general – SubjectFull: Multivariate analysis Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Probability theory Type: general Titles: – TitleFull: Multivariate injury risk criteria and injury probability scores for fractures to the distal radius. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Burkhart, Timothy A. – PersonEntity: Name: NameFull: Andrews, David M. – PersonEntity: Name: NameFull: Dunning, Cynthia E. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: 2013 Type: published Y: 2013 Identifiers: – Type: issn-print Value: 00219290 Numbering: – Type: volume Value: 46 – Type: issue Value: 5 Titles: – TitleFull: Journal of Biomechanics Type: main |
| ResultId | 1 |
