This is a clinimetric study to validate the use of IMU spinal sensors to measure the range of spinal movement in a group of patients with axial spondyloarthritis.
One of the most important goals of therapy in axial spondyloarthritis is to improve and/or preserve spinal mobility. In the early stages of the disease, spinal stiffness is reversible but eventually the spine can fuse causing permanent loss of flexion. Traditional tests for spinal mobility using tape measures are inaccurate and do not capture many aspects of kinematics such as spinal rotation or speed of movement. There is also a need for wearable sensors to give patients feedback and encourage more regular exercise. The investigators will be using IMU spinal sensors to measure spinal ROM in a group of 40 patients with axial spondyloarthritis. The investigators will be testing aspects of inter-rater and intra-rater reliability, comparing sensor reliability to the accuracy of the traditional tape measure test (BASMI).
Study Type
INTERVENTIONAL
Allocation
NON_RANDOMIZED
Purpose
DEVICE_FEASIBILITY
Masking
SINGLE
Enrollment
40
Sensors will be used to measure spinal movement
Department of Rheumatology, Altnagelvin Hospital
Londonderry, N.Ireland, United Kingdom
Inter-rater reliability for measurement of lumbar spine range of movement
ICC for lumbar side flexion and forward flexion expected to be \>0.8
Time frame: 2 weeks
Inter-rater reliability for measurement of lumbar spine rotational range of movement
ICC for spinal rotation expected to be \>0.8
Time frame: 2 weeks
Reliability of IMU metrology index non-inferior to reliability of BASMI
Measurements obtained using IMUs are at least as reliable as the BASMI tape measure test
Time frame: 2 weeks
Correlation with BASDAI: IMU metrology index non-inferior compared to BASMI
We will compare the metrology indices in the strength of correlation with the BASDAI components of pain and stiffness.
Time frame: 2 weeks
Inter-rater reliability for measurement of cervical rotation range of movement
ICC for cervical rotation expected to be \>0.8
Time frame: 2 weeks
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