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Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort

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  • Viet-Thi Tran

    (Université Paris Cité, CRESS, INSERM, INRAE
    Centre d’Epidémiologie Clinique, Hôpital Hôtel-Dieu, AP-HP)

  • Raphaël Porcher

    (Université Paris Cité, CRESS, INSERM, INRAE
    Centre d’Epidémiologie Clinique, Hôpital Hôtel-Dieu, AP-HP)

  • Isabelle Pane

    (Université Paris Cité, CRESS, INSERM, INRAE)

  • Philippe Ravaud

    (Université Paris Cité, CRESS, INSERM, INRAE
    Centre d’Epidémiologie Clinique, Hôpital Hôtel-Dieu, AP-HP
    Columbia University Mailman School of Public Health)

Abstract

About 10% of people infected by severe acute respiratory syndrome coronavirus 2 experience post COVID-19 disease. We analysed data from 968 adult patients (5350 person-months) with a confirmed infection enroled in the ComPaRe long COVID cohort, a disease prevalent prospective e-cohort of such patients in France. Day-by-day prevalence of post COVID-19 symptoms was determined from patients’ responses to the Long COVID Symptom Tool, a validated self-reported questionnaire assessing 53 symptoms. Among patients symptomatic after 2 months, 85% still reported symptoms one year after their symptom onset. Evolution of symptoms showed a decreasing prevalence over time for 27/53 symptoms (e.g., loss of taste/smell); a stable prevalence over time for 18/53 symptoms (e.g., dyspnoea), and an increasing prevalence over time for 8/53 symptoms (e.g., paraesthesia). The disease impact on patients’ lives began increasing 6 months after onset. Our results are of importance to understand the natural history of post COVID-19 disease.

Suggested Citation

  • Viet-Thi Tran & Raphaël Porcher & Isabelle Pane & Philippe Ravaud, 2022. "Course of post COVID-19 disease symptoms over time in the ComPaRe long COVID prospective e-cohort," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29513-z
    DOI: 10.1038/s41467-022-29513-z
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    1. Takehiro Takahashi & Mallory K. Ellingson & Patrick Wong & Benjamin Israelow & Carolina Lucas & Jon Klein & Julio Silva & Tianyang Mao & Ji Eun Oh & Maria Tokuyama & Peiwen Lu & Arvind Venkataraman & , 2020. "Sex differences in immune responses that underlie COVID-19 disease outcomes," Nature, Nature, vol. 588(7837), pages 315-320, December.
    2. Jackson, Christopher, 2011. "Multi-State Models for Panel Data: The msm Package for R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 38(i08).
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    Cited by:

    1. Janet L. Larson & Weijiao Zhou & Philip T. Veliz & Sheree Smith, 2023. "Symptom Clusters in Adults with Post-COVID-19: A Cross-Sectional Survey," Clinical Nursing Research, , vol. 32(8), pages 1071-1080, November.
    2. Denis Mongin & Nils Bürgisser & Gustavo Laurie & Guillaume Schimmel & Diem-Lan Vu & Stephane Cullati & Delphine Sophie Courvoisier, 2023. "Effect of SARS-CoV-2 prior infection and mRNA vaccination on contagiousness and susceptibility to infection," Nature Communications, Nature, vol. 14(1), pages 1-13, December.

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