Cohort profile: the Johns Hopkins COVID Long Study (JHCLS)-a US nationwide prospective cohort study.


Journal

BMJ open
ISSN: 2044-6055
Titre abrégé: BMJ Open
Pays: England
ID NLM: 101552874

Informations de publication

Date de publication:
19 Jun 2024
Historique:
medline: 21 6 2024
pubmed: 21 6 2024
entrez: 21 6 2024
Statut: epublish

Résumé

COVID-19 continues to affect millions of individuals worldwide, both in the short and long term. The post-acute complications of SARS-CoV-2 infection, referred to as long COVID, result in diverse symptoms affecting multiple organ systems. Little is known regarding how the symptoms associated with long COVID progress and resolve over time. The Johns Hopkins COVID Long Study aims to prospectively examine the short-term and long-term consequences of COVID-19 in individuals both with and without a history of SARS-CoV-2 infection using self-reported data collected in an online survey. 16 764 adults with a history of SARS-CoV-2 infection and 799 adults without a history of SARS-CoV-2 infection who completed an online baseline survey. This cohort profile describes the baseline characteristics of the Johns Hopkins COVID Long Study. Among 16 764 participants with a history of SARS-CoV-2 infection and defined long COVID status, 75% reported a very good or excellent health status prior to infection, 99% reported experiencing at least one COVID-19 symptom during the acute phase of infection, 9.9% reported hospitalisation and 63% were defined as having long COVID using the WHO definition. Analysis of longitudinal data will be used to investigate the progression and resolution of long COVID symptoms over time.

Identifiants

pubmed: 38904142
pii: bmjopen-2023-077742
doi: 10.1136/bmjopen-2023-077742
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e077742

Informations de copyright

© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Déclaration de conflit d'intérêts

Competing interests: SHM receives material support from Abbott Laboratories (not related to this study).

Auteurs

Eryka Wentz (E)

Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA ewentz1@jhu.edu.

Zhanmo Ni (Z)

Oncology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Karine Yenokyan (K)

Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Candelaria Vergara (C)

Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Jessica Pahwa (J)

Oral Health Sciences, Temple University Maurice H. Kornberg School of Dentistry, Philadelphia, Pennsylvania, USA.

Thea Kammerling (T)

Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Pu Xiao (P)

Data Science, Johns Hopkins University Whiting School of Engineering, Baltimore, Maryland, USA.

Priya Duggal (P)

Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Bryan Lau (B)

Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

Shruti H Mehta (SH)

Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.

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Classifications MeSH