Chronic low back pain (LBP) is globally recognised as a leading cause of disability, with a global point-prevalence of 540 million people experiencing ‘activity-limiting’ LBP. A lack of muscle endurance is common in people with LBP, however the mechanisms underlying reduced endurance remain unclear. This study utilised high-density EMG (HDEMG) to evaluate differences in the spatial distribution and redistribution of lumbar erector spinae (ES) activity during an endurance task. Thirteen control (Age:26.46±5.0, 7 Males) and 13 LBP participants (Age:27.39±9.7, 6 Males) were recruited and HDEMG signals were detected from ES unilaterally using a 13×5 electrode grid adhered 2cm lateral to the L5 spinous process. Participants were asked to complete an isometric endurance task until failure (>10° trunk deviation) with muscle activity simultaneously recorded. The activity was computed to form a map of the EMG amplitude distribution and the position of the centre of activity (centroid) was monitored throughout the task.Introduction
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Pain is an expected and appropriate experience following traumatic musculoskeletal injury. By contrast, chronic pain and disability are unhelpful yet common sequelae of trauma-related injuries. Presently, the mechanisms that underlie the transition from acute to chronic disabling post-traumatic pain are not fully understood. The aim of this study is to identify prognostic factors for risk of developing chronic pain and disability following acute musculoskeletal trauma. A prospective observational study will recruit two temporally staggered cohorts (n=250 each cohort; 10 cases per candidate predictor) of consecutive acute musculoskeletal trauma patients aged ≥16 years, who are emergency admissions into a Major Trauma Centre in the United Kingdom, with an episode inception defined as the traumatic event. The first cohort will identify prognostic factors to develop a screening tool to predict development of chronic and disabling pain, and the second will allow evaluation of the predictive performance of the tool (validation). The outcome being predicted is an individual's absolute risk of poor outcome measured at 6-months follow-up using the Chronic Pain Grade Scale (poor outcome ≥Grade II). Candidate predictors encompass the four primary mechanisms of pain: Introduction
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