1
|
Mageswaran P, Dufour J, Aurand A, Knapik G, Hani H, Blakaj DM, Khan S, Hussain N, Tiwari M, Vallabh J, Weaver T, Marras WS. Wearable motion-based platform for functional spine health assessment. Reg Anesth Pain Med 2024; 49:518-527. [PMID: 37813527 DOI: 10.1136/rapm-2023-104840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 09/22/2023] [Indexed: 10/17/2023]
Abstract
INTRODUCTION Low back pain is a significant burden to society and the lack of reliable outcome measures, combined with a prevailing inability to quantify the biopsychosocial elements implicated in the disease, impedes clinical decision-making and distorts treatment efficacy. This paper aims to validate the utility of a biopsychosocial spine platform to provide standardized wearable sensor-derived functional motion assessments to assess spine function and differentiate between healthy controls and patients. Secondarily, we explored the correlation between these motion features and subjective biopsychosocial measures. METHODS An observational study was conducted on healthy controls (n=50) and patients with low back pain (n=50) to validate platform utility. The platform was used to conduct functional assessments along with patient-reported outcome assessments to holistically document cohort differences. Our primary outcomes were motion features; and our secondary outcomes were biopsychosocial measures (pain, function, etc). RESULTS Our results demonstrated statistically significant differences in motion features between healthy and patient cohorts across anatomical planes. Importantly, we found velocity and acceleration in the axial plane showed the largest difference, with healthy controls having 49.7% and 55.7% higher values, respectively, than patients. In addition, we found significant correlations between motion features and biopsychosocial measures for pain, physical function and social role only. CONCLUSIONS Our study validated the use of wearable sensor-derived functional motion metrics in differentiating healthy controls and patients. Collectively, this technology has the potential to facilitate holistic biopsychosocial evaluations to enhance spine care and improve patient outcomes. TRIAL REGISTRATION NUMBER NCT05776771.
Collapse
Affiliation(s)
- Prasath Mageswaran
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Jonathan Dufour
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Alexander Aurand
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Gregory Knapik
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Hamed Hani
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Dukagjin M Blakaj
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
- Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Safdar Khan
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
- Orthopedics, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Nasir Hussain
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
- Anesthesiology, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Maneesh Tiwari
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Jayesh Vallabh
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
- Physical Medicine & Rehabilitation, The Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - Tristan Weaver
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
- Anesthesiology, Ohio State University Wexner Medical Center, Columbus, Ohio, USA
| | - William S Marras
- Spine Research Institute, The Ohio State University, Columbus, Ohio, USA
| |
Collapse
|
2
|
Khan S, Mageswaran P, Brock G, Eisner M, Ferguson SA, Marras WS. Quantitative dynamic wearable motion-based metric compared to patient-reported outcomes as indicators of functional recovery after lumbar fusion surgery. Clin Biomech (Bristol, Avon) 2022; 97:105706. [PMID: 35809534 DOI: 10.1016/j.clinbiomech.2022.105706] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 05/16/2022] [Accepted: 06/14/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Low back pain is a debilitating condition with poor patient outcomes despite the use of a wide variety of diagnostic and treatment modalities. A lack of objective metrics to support clinical decision-making may be a reason for these poor outcomes. This study aimed to compare patient recovery following lumbar fusion surgery using an objective motion-based metric (functional performance) and subjective patient-reported outcomes for pain, disability and kinesophobia. METHODS A prospective observational study was conducted on 121 patients that received a lumbar fusion surgery. A wearable motion system was used to quantify three-dimensional multi-planar lumbar motion and benchmark each patient's lumbar function prior to surgery and post-operatively at follow-up time points for up to 2 years. Patient recovery profiles after surgery were evaluated using the acquired functional motion data and compared to patient-reported outcomes. FINDINGS Our results found significant improvement after surgery in objective functional performance as well as patient-reported pain, disability, and kinesophobia. However, we found a delayed response in the objective metric, with meaningful improvement occurring only 6 months after fusion surgery. In contrast, we found significant improvement in all subjective scores as early as 6 weeks post-surgery. INTERPRETATION Objective motion-based metric provides a unique perspective to assessing patient's functional recovery. While it is associated with dimensions of pain, disability and fear avoidance, it is also distinct and assesses a uniquely different dimension of functional health. This information can form the basis for the use of objective metrics to gauge patient recovery after lumbar fusion surgery.
Collapse
Affiliation(s)
- Safdar Khan
- Spine Research Institute, The Ohio State University, Columbus, OH, USA; Wexner Medical Center, The Ohio State University, Columbus, OH, USA
| | | | - Guy Brock
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Mariah Eisner
- Center for Biostatistics, Department of Biomedical Informatics, The Ohio State University, Columbus, OH, USA
| | - Sue A Ferguson
- Spine Research Institute, The Ohio State University, Columbus, OH, USA
| | - William S Marras
- Spine Research Institute, The Ohio State University, Columbus, OH, USA.
| |
Collapse
|