Scinovex
article Open AccessTop 1% cited

‘Long-COVID’: a cross-sectional study of persisting symptoms, biomarker and imaging abnormalities following hospitalisation for COVID-19

Thorax · 2020 · Vol. 76(4) · pp. 396–398
Swapna MandalJoseph BarnettSimon BrillJeremy BrownEmma DennenySamanjit S HareMelissa HeightmanToby HillmanJoseph JacobHannah C. JarvisMarc LipmanSB NaiduArjun NairJoanna C. PorterGillian S. TomlinsonJohn R. Hurst

Abstract

Large numbers of people are being discharged from hospital following COVID-19 without assessment of recovery. In 384 patients (mean age 59.9 years; 62% male) followed a median 54 days post discharge, 53% reported persistent breathlessness, 34% cough and 69% fatigue. 14.6% had depression. In those discharged with elevated biomarkers, 30.1% and 9.5% had persistently elevated d-dimer and C reactive protein, respectively. 38% of chest radiographs remained abnormal with 9% deteriorating. Systematic follow-up after hospitalisation with COVID-19 identifies the trajectory of physical and psychological symptom burden, recovery of blood biomarkers and imaging which could be used to inform the need for rehabilitation and/or further investigation.

Long-Term Effects of COVID-19COVID-19 Clinical Research StudiesThermal Regulation in MedicineMedicineCoronavirus disease 2019 (COVID-19)Cross-sectional studyBiomarkerSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Depression (economics)2019-20 coronavirus outbreakRehabilitationPneumoniaInternal medicine

MeSH terms

COVID-19SARS-CoV-2Cross-Sectional StudiesDiagnostic ImagingFemaleHospitalizationHumansLungMaleMiddle AgedSeverity of Illness IndexBiomarkersPandemics

Funding

  • Wellcome Trust
  • National Institute for Health and Care Research
  • University College London Hospitals NHS Foundation Trust
  • Medical Research Council
Citations
908
FWCI
65.47
field-weighted impact
References
7
Percentile
100%
vs. same field & year
Citations per year
Citation Network

How this paper connects to the literature. Drag to explore, click any node to open that paper.