Maetzler Walter, Correia Guedes Leonor, Emmert Kirsten Nele, Kudelka Jennifer, Hildesheim Hanna Luise, Paulides Emma, Connolly Hayley, Davies Kristen, Dilda Valentina, Ahmaniemi Teemu, Avedano Luisa, Bouça-Machado Raquel, Chambers Michael, Chatterjee Meenakshi, Gallagher Peter, Graeber Johanna, Maetzler Corina, Kaduszkiewicz Hanna, Kennedy Norelee, Macrae Victoria, Carrasco Marin Laura, Moses Anusha, Padovani Alessandro, Pilotto Andrea, Ratcliffe Natasha, Reilmann Ralf, Rosario Madalena, Schreiber Stefan, De Sousa Dina, Van Gassen Geert, Warring Lori Ann, Seppi Klaus, van der Woude C Janneke, Ferreira Joaquim J, Ng Wan-Fai
Department of Neurology, University Medical Centre Schleswig-Holstein, Campus Kiel and Kiel University, Kiel, Germany.
Instituto de Medicina Molecular João Lobo Antunes and Centro de Estudos Egas Moniz, Faculdade de Medicina da Universidade de Lisboa, Lisbon, Portugal.
Digit Biomark. 2024 Mar 20;8(1):30-39. doi: 10.1159/000536568. eCollection 2024 Jan-Dec.
Fatigue is a prominent symptom in many diseases and is strongly associated with impaired daily function. The measurement of daily function is currently almost always done with questionnaires, which are subjective and imprecise. With the recent advances of digital wearable technologies, novel approaches to evaluate daily function quantitatively and objectively in real-life conditions are increasingly possible. This also creates new possibilities to measure fatigue-related changes of daily function using such technologies.
This review examines which digitally assessable parameters in immune-mediated inflammatory and neurodegenerative diseases may have the greatest potential to reflect fatigue-related changes of daily function.
Results of a standardized analysis of the literature reporting about perception-, capacity-, and performance-evaluating assessment tools indicate that changes of the following parameters: physical activity, independence of daily living, social participation, working life, mental status, cognitive and aerobic capacity, and supervised and unsupervised mobility performance have the highest potential to reflect fatigue-related changes of daily function. These parameters thus hold the greatest potential for quantitatively measuring fatigue in representative diseases in real-life conditions, e.g., with digital wearable technologies. Furthermore, to the best of our knowledge, this is a new approach to analysing evidence for the design of performance-based digital assessment protocols in human research, which may stimulate further systematic research in this area.
疲劳是许多疾病中的一个突出症状，并且与日常功能受损密切相关。目前，日常功能的测量几乎总是通过问卷调查来进行，而问卷调查具有主观性和不精确性。随着数字可穿戴技术的最新进展，在现实生活条件下定量和客观地评估日常功能的新方法越来越可行。这也为使用此类技术测量与疲劳相关的日常功能变化创造了新的可能性。
本综述探讨了在免疫介导的炎症性疾病和神经退行性疾病中，哪些可通过数字方式评估的参数最有可能反映与疲劳相关的日常功能变化。
对有关感知、能力和表现评估工具的文献进行标准化分析的结果表明，以下参数的变化：身体活动、日常生活独立性、社会参与、工作生活、精神状态、认知和有氧能力，以及受监督和不受监督的移动表现，最有可能反映与疲劳相关的日常功能变化。因此，这些参数在现实生活条件下（例如使用数字可穿戴技术）对代表性疾病中的疲劳进行定量测量具有最大潜力。此外，据我们所知，这是一种分析人类研究中基于表现的数字评估方案设计证据的新方法，可能会激发该领域进一步的系统研究。
