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用于神经肌肉疾病的数字生物标志物:一项系统综述

Digital Biomarkers for Neuromuscular Disorders: A Systematic Scoping Review.

作者信息

Youn Bo-Young, Ko Youme, Moon Seunghwan, Lee Jinhee, Ko Seung-Gyu, Kim Jee-Young

机构信息

Department of Global Public Health and Korean Medicine Management, Graduate School, Kyung Hee University, Seoul 02447, Korea.

Department of Preventive Medicine, Kyung Hee University, Seoul 02447, Korea.

出版信息

Diagnostics (Basel). 2021 Jul 15;11(7):1275. doi: 10.3390/diagnostics11071275.

Abstract

Biomarkers play a vital role in clinical care. They enable early diagnosis and treatment by identifying a patient's condition and disease course and act as an outcome measure that accurately evaluates the efficacy of a new treatment or drug. Due to the rapid development of digital technologies, digital biomarkers are expected to grow tremendously. In the era of change, this scoping review was conducted to see which digital biomarkers are progressing in neuromuscular disorders, a diverse and broad-range disease group among the neurological diseases, to discover available evidence for their feasibility and reliability. Thus, a total of 10 studies were examined: 9 observational studies and 1 animal study. Of the observational studies, studies were conducted with amyotrophic lateral sclerosis (ALS), Duchenne muscular dystrophy (DMD), and spinal muscular atrophy (SMA) patients. Non-peer reviewed poster presentations were not considered, as the articles may lead to erroneous results. The only animal study included in the present review investigated the mice model of ALS for detecting rest disturbances using a non-invasive digital biomarker.

摘要

生物标志物在临床护理中发挥着至关重要的作用。它们通过识别患者的病情和病程实现早期诊断和治疗,并作为一种结果指标准确评估新治疗方法或药物的疗效。由于数字技术的快速发展,数字生物标志物有望大幅增长。在这个变革的时代,开展了这项范围综述,以了解哪些数字生物标志物在神经肌肉疾病(神经疾病中一个多样且范围广泛的疾病组)中取得进展,从而发现其可行性和可靠性的现有证据。因此,共审查了10项研究:9项观察性研究和1项动物研究。在观察性研究中,对肌萎缩侧索硬化症(ALS)、杜氏肌营养不良症(DMD)和脊髓性肌萎缩症(SMA)患者进行了研究。未考虑非同行评审的海报展示,因为这些文章可能会导致错误结果。本综述纳入的唯一一项动物研究使用非侵入性数字生物标志物对ALS小鼠模型进行了静息干扰检测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e43/8307187/ce0cc66e36a6/diagnostics-11-01275-g001.jpg

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