» Articles » PMID: 38105936

A Prospective Natural History Study of Post Acute Sequalae of COVID-19 Using Digital Wearables: Study Protocol

Overview
Journal Res Sq
Date 2023 Dec 18
PMID 38105936
Authors
Affiliations
Soon will be listed here.
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.

References
1.
Golinelli D, Boetto E, Carullo G, Nuzzolese A, Landini M, Fantini M . Adoption of Digital Technologies in Health Care During the COVID-19 Pandemic: Systematic Review of Early Scientific Literature. J Med Internet Res. 2020; 22(11):e22280. PMC: 7652596. DOI: 10.2196/22280. View

2.
Ray Dorsey E, Kluger B, Lipset C . The New Normal in Clinical Trials: Decentralized Studies. Ann Neurol. 2020; 88(5):863-866. DOI: 10.1002/ana.25892. View

3.
Stuckless S, Parfrey P . Bias in Clinical Research. Methods Mol Biol. 2021; 2249:17-34. DOI: 10.1007/978-1-0716-1138-8_2. View

4.
Choi S, Victorson D, Yount S, Anton S, Cella D . Development of a conceptual framework and calibrated item banks to measure patient-reported dyspnea severity and related functional limitations. Value Health. 2011; 14(2):291-306. DOI: 10.1016/j.jval.2010.06.001. View

5.
Davis H, Assaf G, McCorkell L, Wei H, Low R, Reem Y . Characterizing long COVID in an international cohort: 7 months of symptoms and their impact. EClinicalMedicine. 2021; 38:101019. PMC: 8280690. DOI: 10.1016/j.eclinm.2021.101019. View