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.

为了更好地了解长期新冠病毒对个人的影响，我们对 279 名个人进行了长达一年的每日可穿戴数据（步数、静息心率 (RHR) 和睡眠量）相对于感染前基线的变化的研究。 274 没有长期感染新冠病毒的人。患有长新冠病毒（定义为感染 SARS-CoV-2 后症状持续 30 天或更长时间）的参与者与未报告长新冠病毒的参与者相比，其 RHR 和活动轨迹显着不同，而且更有可能是女性、更年轻、未接种疫苗，并且报告的急性期（前 2 周）症状比没有长新冠病毒的患者更多。人口统计、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期新冠肺炎并发症的个体，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。