Biomechanical Phenotyping of Chronic Low Back Pain: Protocol for BACPAC

Author:

Adam Quirk D1,Johnson Marit E2,Anderson Dennis E3,Smuck Matthew4,Sun Ruopeng4,Matthew Robert5,Bailey Jeannie6,Marras William S7,Bell Kevin M8,Darwin Jessa9,Bowden Anton E10

Affiliation:

1. Harvard University Harvard School of Engineering and Applied Science, , Cambridge, MA

2. School of Medicine, University of Pittsburgh Department of Orthopaedic Surgery, , Pittsburgh, PA

3. Beth Israel Deaconess Medical Center and Harvard Medical School Center for Orthopaedic Studies, , Boston, MA

4. Stanford University School of Medicine Department of Orthopaedic Surgery, , Stanford, CA

5. University of California Department of Physical Therapy and Rehabilitation Sciences, , San Francisco, CA

6. University of California Department of Orthopaedic Surgery, , San Francisco, CA

7. The Ohio State University Department of Integrated Systems Engineering, , Columbus, OH

8. Swanson School of Engineering, University of Pittsburgh Department of Bioengineering, , Pittsburgh, PA

9. School of Medicine, University of Pittsburgh Department of Physical Medicine and Rehabilitation, , Pittsburgh, PA

10. Brigham Young University Department of Mechanical Engineering, , Provo, UT

Abstract

Abstract Objective Biomechanics represents the common final output through which all biopsychosocial constructs of back pain must pass, making it a rich target for phenotyping. To exploit this feature, several sites within the NIH Back Pain Consortium (BACPAC) have developed biomechanics measurement and phenotyping tools. The overall aims of this paper were to: 1) provide a narrative review of biomechanics as a phenotyping tool; 2) describe the diverse array of tools and outcome measures that exist within BACPAC; and 3) highlight how leveraging these technologies with the other data collected within BACPAC may elucidate the relationship between biomechanics and other metrics used to characterize low back pain (LBP). Methods The narrative review highlights how biomechanical outcomes can discriminate between those with and without LBP, as well as the severity of LBP. It also addresses how biomechanical outcomes track with functional improvements in LBP. Additionally, we present the clinical use case for biomechanical outcome measures that can be met via emerging technologies. Results To answer the need of measuring biomechanical performance our results section describes the spectrum of technologies that have been developed and are being used within BACPAC. Conclusion and future directions: The outcome measures collected by these technologies will be an integral part of longitudinal and cross-sectional studies conducted in BACPAC. Linking these measures with other biopsychosocial data collected within BACPAC increases our potential to use biomechanics as a tool for understanding the mechanisms of LBP, phenotyping unique LBP subgroups, and matching these individuals with an appropriate treatment paradigm.

Publisher

Oxford University Press (OUP)

Subject

Anesthesiology and Pain Medicine,Neurology (clinical),General Medicine

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic segmental kinematics of the lumbar spine during diagnostic movements;Frontiers in Bioengineering and Biotechnology;2023-09-28

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