Long Covid 患者和非 Long Covid 患者的可穿戴传感器数据的长期变化

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Jennifer M. Radin, Julia Moore Vogel, Felipe Delgado, Erin Coughlin, Matteo Gadaleta, Jay A. Pandit, Steven R. Steinhubl
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引用次数: 0

摘要

为了更好地了解长期慢性阻塞性肺病对个人的影响,我们在 279 名感染者和 274 名未感染者中,研究了个人在长达一年的时间里每日可穿戴数据(步数、静息心率 (RHR) 和睡眠量)相对于感染前基线的变化。感染 SARS-CoV-2 后,症状持续 30 天或更长时间即为长 COVID,与未报告长 COVID 的参与者相比,有长 COVID 的参与者的 RHR 和活动轨迹明显不同,而且与无长 COVID 的参与者相比,有长 COVID 的参与者更可能是女性、更年轻、未接种疫苗,并报告更多的急性期(前两周)症状。人口统计学、疫苗和急性期传感器数据差异可用于早期识别最有可能出现长COVID并发症的个体,并跟踪任何干预措施治疗效果的客观证据。试验注册:https://classic.clinicaltrials.gov/ct2/show/NCT04336020。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Long-term changes in wearable sensor data in people with and without Long Covid

Long-term changes in wearable sensor data in people with and without Long Covid

Long-term changes in wearable sensor data in people with and without Long Covid
To better understand the impact of Long COVID on an individual, we explored changes in daily wearable data (step count, resting heart rate (RHR), and sleep quantity) for up to one year in individuals relative to their pre-infection baseline among 279 people with and 274 without long COVID. Participants with Long COVID, defined as symptoms lasting for 30 days or longer, following a SARS-CoV-2 infection had significantly different RHR and activity trajectories than those who did not report Long COVID and were also more likely to be women, younger, unvaccinated, and report more acute-phase (first 2 weeks) symptoms than those without Long COVID. Demographic, vaccine, and acute-phase sensor data differences could be used for early identification of individuals most likely to develop Long COVID complications and track objective evidence of the therapeutic efficacy of any interventions. Trial Registration: https://classic.clinicaltrials.gov/ct2/show/NCT04336020 .
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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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