Thermal sensors have been used in bracing research as self-reported diaries are inaccurate. Little is known about new low-profile sensors, optimal location within a brace, locational thermal micro-climate and effect of brace lining. Our objective is to Determine an optimal temperature threshold for sensor-measured and true wear time agreement. Identify optimal sensor location. Assess all factors to determine the best sensor option for the Bracing AdoleScent Idiopathic Scoliosis (BASIS) multicentre RCT.

Seven Orthotimer and five iButton (DS1925L) sensors were synchronised to record temperature at five-minute intervals. Three healthy participants donned a rigid spinal brace, embedded with both sensors across four anatomical locations (abdomen/axilla/lateral-gluteal/sacral). Universal-coordinated-time wear protocols were performed in/out-doors. Intraclass correlation coefficient (ICC) assessed sensor-measured and true wear time agreement at thresholds 15–36oC.

Optimal thresholds, determined by largest ICC estimate: Orthotimer: Abdomen=26oC, axilla=27oC, lateral-gluteal=24.5oC, sacral=22.5oC. iButton: Abdomen=26oC, axilla=27oC, lateral-gluteal=23.5oC, sacral=23.5oC. Warm-up time and error at optimal thresholds increased for moulded sensors covered with 6mm lining.

Location: anterior abdominal wall. Excellent reliability and higher optimal thresholds, less likely to be exceeded by ambient temperature; not a pressure area. Sensor: iButton, longer battery life and larger memory than Orthotimer; allows recording at 10 min intervals for life of brace. Orthotimer only able to record every 30 mins, increasing error between true and measured wear time; Orthotimer needs 6-monthly data download. Threshold: 26oC is optimal threshold to balance warm-up and cool-down times for accurately measuring wear time. Sensor should not be covered by lining foam as this significantly prolongs warm-up time.

Purposes and Background

Musculoskeletal disorders including as back and neck pain are leading causes of work disability. Effective interventions exist (i.e. functional restoration, multidisciplinary biopsychosocial rehabilitation, workplace-based interventions, etc.), but it is difficult to select the optimal intervention for specific patients. The Work Assessment Triage Tool (WATT) is a clinical decision support tool developed using machine learning to help select interventions. The WATT algorithm categorizes patients based on individual, occupational, and clinical characteristics according to likelihood of successful return-to-work following rehabilitation. Internal validation showed acceptable classification accuracy, but WATT has not been tested beyond the original development sample. Our purpose was to externally validate the WATT.

Purposes and Background

Musculoskeletal disorders are leading causes of work disability. Our purpose was to develop a predictive model in a cohort from 2012 and validate the model in 2016 data.

Objective

The purpose of this study is to describe and validate a CT based classification of lumbosacral segment abnormalities.

Aim:

To simplify sagittal plane spinal assessment by describing a single novel angle in the lumbar spine equivalent to the difference between pelvic incidence (PI) and lumbar lordosis (LL) and evaluate its reliability.

Aims

Degenerative cervical spondylosis (DCS) is a common musculoskeletal disease that encompasses a wide range of progressive degenerative changes and affects all components of the cervical spine. DCS imposes very large social and economic burdens. However, its genetic basis remains elusive.

Introduction. From the many human studies that attempt to identify genes for adolescent idiopathic scoliosis (AIS), the view emerging is that AIS is a complex genetic disorder with many predisposing genes exhibiting complex phenotypes through environmental interactions. Although advancements in genomic technology are transforming how we undertake genetic and genomic studies, only some success has been reached in deciphering complex diseases such as AIS. Moreover, the present challenge in AIS research is to understand the causative and correlative effects of discovered genetic perturbations. An important limitation to such investigations has been the absence of a method that can easily stratify patients with AIS. To overcome these challenges, we have developed a functional test that allows us to stratify patients with AIS into three functional subgroups, representing specific endophenotypes. Interestingly, in families with multiple cases of AIS, a specific endophenotype is shared among the affected family members, indicating that such a transmission is inherited. Moreover, increased vulnerability to AIS could be attributable to sustained exposure to osteopontin (OPN), a multifunctional cytokine that appears to be at the origin of the Gi-coupled receptor signalling dysfunction discovered in AIS. We examined the molecular expression profiles of patients with AIS and their response to OPN. Methods. Osteoblasts isolated from patients with AIS were selected for each functional subgroup and compared with osteoblasts obtained from healthy matched controls. We used the latest gene chip human genome array Affymetrix (HuU133 Plus 2.0 array) that allows for the analysis of the expression level of 38 000 well characterised human genes. Raw data were normalised with robust multiarray analysis method. Statistical analysis was done by the EB method with FlexArray software. Selection criteria for in-depth analysis include the magnitude of change in expression (at least □} 3-fold) and 5% false discovery rate as stringency selection. Validation of selected candidate genes was done by qPCR and at the protein level by Western blot and ELISA methods. Plasma OPN concentrations were measured by ELISA on a group of 683 consecutive patients with AIS and were compared with 262 healthy controls and 178 asymptomatic offspring, born from at least one scoliotic parent, and thus considered at risk of developing the disorder. The regulation of OPN signalling pathway in normal and AIS cells were validated in vitro by cellular dielectric spectroscopy (CDS). Results. Of 38 000 human genes tested, we have found eight genes specifically associated with the functional subgroup 1, 16 genes with the functional subgroup 2, and 11 genes with the functional subgroup 3. Interestingly, only 19 genes were shared and affected to the same extent in all AIS functional subgroups exhibiting a similar curve pattern (double major), suggesting their role in the formation of this curve pattern. Indeed, most of these genes encode for regulatory proteins such as transcription factors regulating axial skeleton, somite development, and extracellular matrix proteins. Mean plasma OPN concentrations were significantly increased in patients with AIS and correlated with disease severity. Increased plasma OPN concentrations were also detected in the asymptomatic at-risk group, suggesting that these changes precede scoliosis onset. CDS experiments clearly showed that OPN exposure triggers a Gi-coupled receptor signalling dysfunction, which is exacerbated by oestrogens. Conclusions. Our data further support our functional method of stratification of patients with AIS and allow the identification of genes triggering scoliosis onset versus those predisposing to the development of a specific curve pattern. Furthermore, our clinical and experimental data show that OPN is essential for scoliosis onset and curve progression, thus offering a first molecular concept to explain the pathomechanism leading to the asymmetrical growth of the spine in AIS. Acknowledgments. This research project was supported by grants from La Fondation Yves Cotrel de l'Institut de France, Canadian Institutes of Health Research, and Paradigm Spine LLC

Objectives

Many studies have investigated the kinematics of the lumbar spine and the morphological features of the lumbar discs. However, the segment-dependent immediate changes of the lumbar intervertebral space height during flexion-extension motion are still unclear. This study examined the changes of intervertebral space height during flexion-extension motion of lumbar specimens.