Symptomatic, biochemical and radiographic recovery in patients with COVID-19

BMJ Open Respir Res. 2021 Apr;8(1):e000908. doi: 10.1136/bmjresp-2021-000908.

Abstract

Background: The symptoms, radiography, biochemistry and healthcare utilisation of patients with COVID-19 following discharge from hospital have not been well described.

Methods: Retrospective analysis of 401 adult patients attending a clinic following an index hospital admission or emergency department attendance with COVID-19. Regression models were used to assess the association between characteristics and persistent abnormal chest radiographs or breathlessness.

Results: 75.1% of patients were symptomatic at a median of 53 days post discharge and 72 days after symptom onset and chest radiographs were abnormal in 47.4%. Symptoms and radiographic abnormalities were similar in PCR-positive and PCR-negative patients. Severity of COVID-19 was significantly associated with persistent radiographic abnormalities and breathlessness. 18.5% of patients had unscheduled healthcare visits in the 30 days post discharge.

Conclusions: Patients with COVID-19 experience persistent symptoms and abnormal blood biomarkers with a gradual resolution of radiological abnormalities over time. These findings can inform patients and clinicians about expected recovery times and plan services for follow-up of patients with COVID-19.

Keywords: COVID-19.

MeSH terms

  • Aftercare* / methods
  • Aftercare* / organization & administration
  • Biomarkers / analysis*
  • COVID-19* / blood
  • COVID-19* / diagnostic imaging
  • COVID-19* / epidemiology
  • COVID-19* / physiopathology
  • Female
  • Humans
  • Male
  • Middle Aged
  • Patient Acceptance of Health Care / statistics & numerical data
  • Patient Discharge / standards*
  • Radiography, Thoracic* / methods
  • Radiography, Thoracic* / statistics & numerical data
  • Recovery of Function
  • Retrospective Studies
  • SARS-CoV-2
  • Severity of Illness Index
  • Symptom Assessment* / methods
  • Symptom Assessment* / statistics & numerical data
  • Time Factors
  • United Kingdom / epidemiology

Substances

  • Biomarkers