Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, Sede di Potenza, Potenza, Italy.
Department of Neurosurgery, Neurology Unit, Hospital of Potenza "San Carlo", Via Potito Petrone, Potenza, Italy.
Neurol Sci. 2021 Oct;42(10):4241-4248. doi: 10.1007/s10072-021-05120-6. Epub 2021 Feb 16.
The current gold standard for evaluating normal and impaired motor performances includes the use of the information provided by the patient and the Unified Parkinson's Disease Rating Scale (UPDRS). However, clinical rating scales are typically subjective and their time-limited duration may fail to capture daily fluctuations in motor symptoms resulting from Parkinson's disease. Recently, a new tool has been proposed for objective and continuous assessment of movement disorders based on the evaluation of frequential data content from multi-axial sensors and the identification of specific movement patterns typically associated with disorders. This reduces the probability of confusing physiological or pathological movements occurring at the same frequency with a different movement pattern. However, the data provided by the tool have not yet been compared with the information provided by the typically used clinical rating scales.
The aim of this work is to investigate the possible relationship between UPRDS scores and the information provided by the tool for continuous and long-term monitoring.
In this study, 20 patients with hand tremor were recruited. The UPDRS scoring was performed by a neurologist. Then, continuous monitoring was performed; data were acquired by means of the proposed wrist-worn-device "PD-Watch" for 24 h and then processed in order to get information and indexes on motor symptoms. Finally, these indexes were correlated to the UPDRS scores.
Results show that the concise indexes provided by the tool correlate well with some items in UPDRS Part III, and this correlation has allowed to provide a more direct and immediate meaning to the values of the concise indexes detected by the tool.
While results need to be extended with further studies, this can be considered useful information in the context of clinical trials and routine clinical practice for assessing motor symptoms and movement disorders.
评估正常和受损运动表现的当前金标准包括使用患者提供的信息和统一帕金森病评定量表(UPDRS)。然而,临床评定量表通常是主观的,其限时的持续时间可能无法捕捉到帕金森病引起的运动症状的日常波动。最近,已经提出了一种新的工具,用于基于多轴传感器的频域数据内容评估和识别与障碍相关的特定运动模式来对运动障碍进行客观和连续评估。这降低了将在相同频率下发生的生理或病理运动与具有不同运动模式的运动混淆的可能性。然而,该工具提供的数据尚未与通常使用的临床评定量表提供的信息进行比较。
本工作旨在研究 UPDRS 评分与用于连续和长期监测的工具提供的信息之间的可能关系。
在这项研究中,招募了 20 名手部震颤患者。由神经科医生进行 UPDRS 评分。然后进行连续监测;通过名为“PD-Watch”的腕戴式设备采集数据,持续 24 小时,然后对数据进行处理,以获取有关运动症状的信息和指标。最后,将这些指标与 UPDRS 评分相关联。
结果表明,该工具提供的简明指标与 UPDRS 第 III 部分的某些项目密切相关,这种相关性使得可以为工具检测到的简明指标的值提供更直接和即时的含义。
虽然需要进一步的研究来扩展结果,但这可以被认为是在临床试验和常规临床实践中评估运动症状和运动障碍的有用信息。