Romijnders Robbin, Atrsaei Arash, Rehman Rana Zia Ur, Strehlow Lea, Massoud Jèrôme, Hinchliffe Chloe, Macrae Victoria, Emmert Kirsten, Reilmann Ralf, Janneke van der Woude C, Van Gassen Geert, Baribaud Frédéric, Ahmaniemi Teemu, Chatterjee Meenakshi, Vitturi Bruno Kusznir, Pinaud Clémence, Kalifa Jérôme, Avey Stefan, Ng Wan-Fai, Hansen Clint, Manyakov Nikolay V, Maetzler Walter
Department of Neurology, University Hospital Schleswig-Holstein Campus Kiel, Kiel University, Kiel, Germany.
Mindmaze SA, Digital Motion Analytics Team, Lausanne, Switzerland.
NPJ Digit Med. 2025 Jan 6;8(1):12. doi: 10.1038/s41746-024-01386-0.
Fatigue is prevalent in immune-mediated inflammatory and neurodegenerative diseases, yet its assessment relies largely on patient-reported outcomes, which capture perception but not fluctuations over time. Wearable sensors, like inertial measurement units (IMUs), offer a way to monitor daily activities and evaluate functional capacity. This study investigates the relationship between sit-to-stand and stand-to-sit transitions and self-reported physical and mental fatigue in participants with Parkinson's, Huntington's, rheumatoid arthritis, systemic lupus erythematosus, primary Sjögren's syndrome and inflammatory bowel disease. Over 4 weeks, participants wore an IMU and reported fatigue levels four times daily. Using mixed-effects models, associations were identified between fatigue and specific kinematic features, such as 5th and 95th percentiles of sit-to-stand performance, suggesting that fatigue alters the control and effort of movement. These kinematic features show promise as indicators for fatigue in these patient populations.
疲劳在免疫介导的炎症性疾病和神经退行性疾病中很常见,然而其评估很大程度上依赖于患者报告的结果,这些结果反映的是感知而非随时间的波动。可穿戴传感器,如惯性测量单元(IMU),提供了一种监测日常活动和评估功能能力的方法。本研究调查了帕金森病、亨廷顿舞蹈病、类风湿性关节炎、系统性红斑狼疮、原发性干燥综合征和炎症性肠病患者从坐到站和从站到坐转换与自我报告的身体和精神疲劳之间的关系。在4周的时间里,参与者佩戴IMU并每天报告四次疲劳水平。使用混合效应模型,确定了疲劳与特定运动学特征之间的关联,如从坐到站表现的第5百分位数和第95百分位数,这表明疲劳会改变运动的控制和用力程度。这些运动学特征有望作为这些患者群体疲劳的指标。