DasMahapatra Pronabesh, Chiauzzi Emil, Bhalerao Rishi, Rhodes Jane
PatientsLikeMe Inc., Cambridge, Massachusetts, USA.
Biogen Idec, Cambridge, Massachusetts, USA.
Digit Biomark. 2018 Apr 13;2(1):47-63. doi: 10.1159/000488040. eCollection 2018 Jan-Apr.
Wearable devices have been used to characterize physical activity in multiple sclerosis (MS). The objectives of this study were to advance the literature on the utility of free-living physical activity tracking from secondary analyses of a pilot study in MS patients.
The original observational study was conducted in participants with MS at PatientsLikeMe (PatientsLikeMe (www.PatientsLikeMe.com), an online network of patients with chronic diseases. Participants completed a baseline self-assessment, and received a Fitbit One wearable device with instructions to upload data. Eligible participants (1) self-reported MS, (2) logged on to the PatientsLikeMe website 90 days prior to enrollment, and (3) consented to participate electronically. Participants (1) < 18 years, (2) living outside the United States, and (3) requiring wheelchair assistance for most daily activities were excluded. The secondary analyses were limited to participants with complete data on MS type, disease duration, and Multiple Sclerosis Rating Scale (MSRS) and at least 7 days of wearable data. Step count was used as a measure of physical activity.
The analysis cohort of 114 participants uploaded a mean of 20.1 days of wearable data over the 23-day study (87% adherence); participants averaged 4,393 steps per day. The mean age of participants was 52 years, predominantly female (75%), relapsing-remitting type (79%), with mean disease duration of 16 years. Mean MSRS score within 30-day of baseline was 32; 72% reported mild-moderate walking disability. The reliability of step count measured by intraclass correlation was 0.55 for a single day, ≥0.7 for 2-day average, and ≥0.9 for 7-day average. After controlling for covariates, self-reported disease severity (MSRS quartile) was an independent predictor of step count ( < 0.001). Least square means (LS means) for participants that were least disabled (lowest quartile) was 5,937 steps, which was significantly higher than participants in the second, third, and fourth quartiles (4,570, 3,490, and 3,272, respectively). Similarly, LS means of participants with no ambulatory disability (measured by MSRS walk component) was 6,931 steps, significantly higher than participants with greater disability (4,743, 4,394, 2,727 steps for symptomatic, mild, and moderate disability, respectively, < 0.001).
Using an interactive platform, this study captured free-living mobility data in MS patients. Important metrics such as the use of a minimum of 2-day estimates and self-reported disability were found to be robust indicators and correlates, respectively, of participant activity levels. Further triangulation of such metrics may reduce the burden on patients, clinicians, and researchers when monitoring clinical status.
可穿戴设备已被用于描述多发性硬化症(MS)患者的身体活动情况。本研究的目的是通过对一项MS患者试点研究的二次分析,推进关于自由生活身体活动追踪效用的文献。
最初的观察性研究在PatientsLikeMe(PatientsLikeMe (www.PatientsLikeMe.com),一个慢性病患者在线网络)的MS患者中进行。参与者完成了基线自我评估,并收到了一台Fitbit One可穿戴设备及上传数据的说明。符合条件的参与者需满足:(1)自我报告患有MS;(2)在入组前90天登录过PatientsLikeMe网站;(3)同意以电子方式参与。排除标准为:(1)年龄<18岁;(2)居住在美国境外;(3)大多数日常活动需要轮椅辅助。二次分析仅限于具有MS类型、疾病持续时间和多发性硬化症评定量表(MSRS)完整数据且至少有7天可穿戴数据的参与者。步数用作身体活动的衡量指标。
在为期23天的研究中,114名参与者的分析队列平均上传了20.1天的可穿戴数据(依从率87%);参与者平均每天4393步。参与者的平均年龄为52岁,主要为女性(75%),复发缓解型(79%),平均疾病持续时间为16年。基线30天内的平均MSRS评分为32;72%的参与者报告有轻度至中度行走障碍。组内相关系数测量步数的可靠性,单日为0.55,2天平均值≥0.7,7天平均值≥0.9。在控制协变量后,自我报告的疾病严重程度(MSRS四分位数)是步数的独立预测因素(<0.001)。残疾程度最低(最低四分位数)的参与者的最小二乘均值(LS均值)为5937步,显著高于第二、第三和第四四分位数的参与者(分别为4570、3490和3272步)。同样,无步行障碍(通过MSRS步行部分测量)的参与者的LS均值为6931步,显著高于残疾程度更高的参与者(有症状、轻度和中度残疾的参与者分别为4743、4394和2727步,<0.001)。
本研究使用一个交互式平台获取了MS患者的自由生活移动性数据。重要指标如使用至少2天的估计值和自我报告的残疾情况,分别被发现是参与者活动水平的可靠指标和相关因素。在监测临床状态时,进一步对这些指标进行三角测量可能会减轻患者、临床医生和研究人员的负担。