Affiliation:
1. National Institute on Minority Health and Health Disparities
2. Biostrap USA, LLC
3. National Heart Lung and Blood Institute
Abstract
Abstract
Background
Post-acute sequelae of COVID-19 (PASC) is characterized by having 1 + persistent, recurrent, or emergent symptoms post the infection’s acute phase. The duration and symptom manifestation of PASC remain understudied in nonhospitalized patients. Literature on PASC is primarily based on data from hospitalized patients where clinical indicators such as respiratory rate, heart rate, and oxygen saturation have been predictive of disease trajectories. Digital wearables allow for a continuous collection of such physiological parameters. This protocol outlines the design, aim, and procedures of a natural history study of PASC using digital wearables.
Methods
This is a single-arm, prospective, natural history study of a cohort of 550 patients, ages 18 to 65 years old, males or females who own a smartphone and/or a tablet that meets pre-determined Bluetooth version and operating system requirements, speak English, and provide documentation of a positive COVID-19 test issued by a healthcare professional or organization within 5 days before enrollment. The study aims to identify wearables collected physiological parameters that are associated with PASC in patients with a positive diagnosis. The primary endpoint is long COVID-19, defined as ≥ 1 symptom at 3 weeks beyond first symptom onset or positive diagnosis, whichever comes first. The secondary endpoint is chronic COVID-19, defined as ≥ 1 symptom at 12 weeks beyond first symptom onset or positive diagnosis. We hypothesize that physiological parameters collected via wearables are associated with self-reported PASC. Participants must be willing and able to consent to participate in the study and adhere to study procedures for six months.
Discussion
This is a fully decentralized study investigating PASC using wearable devices to collect physiological parameters and patient-reported outcomes. Given evidence on key demographics and risk profiles associated with PASC, the study will shed light on the duration and symptom manifestation of PASC in nonhospitalized patient subgroups and is an exemplar of use of wearables as population-level monitoring health tools for communicable diseases.
Trial registration:
ClinicalTrials.gov NCT04927442, Submitted: 6/15/2021, First posted: 6/16/2021.
Publisher
Research Square Platform LLC
Reference147 articles.
1. Core outcomes set for trials in people with coronavirus disease 2019;Tong A;Crit Care Med,2020
2. How and why patients made Long Covid;Callard F;Soc Sci Med,2021
3. Discovering long covid symptom patterns: Association rule mining and sentiment analysis in social media tweets;Matharaarachchi S;JMIR Formative Research,2022
4. Rowland C. Long covid is destroying careers, leaving economic distress in its wake. The Washington Post 2021. https://www.washingtonpost.com/business/2021/12/09/long-covid-work-unemployed/. Accessed 1 June 2023.
5. Mahase E. Covid-19: What do we know about “long covid”? BMJ 2020;370(m2815). 10.1136/bmj.m2815.