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The prevalence and long-term health effects of Long Covid among hospitalised and non-hospitalised populations: A systematic review and meta-analysis.
O'Mahoney, Lauren L; Routen, Ash; Gillies, Clare; Ekezie, Winifred; Welford, Anneka; Zhang, Alexa; Karamchandani, Urvi; Simms-Williams, Nikita; Cassambai, Shabana; Ardavani, Ashkon; Wilkinson, Thomas J; Hawthorne, Grace; Curtis, Ffion; Kingsnorth, Andrew P; Almaqhawi, Abdullah; Ward, Thomas; Ayoubkhani, Daniel; Banerjee, Amitava; Calvert, Melanie; Shafran, Roz; Stephenson, Terence; Sterne, Jonathan; Ward, Helen; Evans, Rachael A; Zaccardi, Francesco; Wright, Shaney; Khunti, Kamlesh.
  • O'Mahoney LL; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Routen A; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Gillies C; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Ekezie W; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Welford A; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Zhang A; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Karamchandani U; Great Ormond Street Institute of Child Health, University College London, London, UK.
  • Simms-Williams N; Faculty of Medicine, School of Public Health, Imperial College London, London, UK.
  • Cassambai S; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Ardavani A; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Wilkinson TJ; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Hawthorne G; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Curtis F; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Kingsnorth AP; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Almaqhawi A; Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Ward T; Department of Family and Community Medicine, College of Medicine, King Faisal University, Al Ahsa, Saudi Arabia.
  • Ayoubkhani D; Department of Respiratory Sciences, University of Leicester, Leicester, UK.
  • Banerjee A; Leicester Real World Evidence Unit, Diabetes Research Centre, University of Leicester, Leicester, UK.
  • Calvert M; Office for National Statistics, Government Buildings, Newport, UK.
  • Shafran R; Faculty of Population Health Sciences, Institute of Health Informatics, University College London, London, UK.
  • Stephenson T; Department of Population Science and Experimental Medicine, University College London, London, UK.
  • Sterne J; Institute of Applied Health Research, University of Birmingham, Birmingham, UK.
  • Ward H; NIHR Birmingham Biomedical Research Centre and NIHR Applied Research Collaboration West Midlands, University Hospital Birmingham and University of Birmingham, Birmingham, UK.
  • Evans RA; Birmingham Health Partners Centre for Regulatory Science and Innovation and Centre for Patient Reported Outcomes Research, University of Birmingham, Birmingham, UK.
  • Zaccardi F; Great Ormond Street Institute of Child Health, University College London, London, UK.
  • Wright S; Great Ormond Street Institute of Child Health, University College London, London, UK.
  • Khunti K; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
EClinicalMedicine ; 55: 101762, 2023 Jan.
Article in English | MEDLINE | ID: covidwho-2130639
ABSTRACT

Background:

The aim of this study was to systematically synthesise the global evidence on the prevalence of persistent symptoms in a general post COVID-19 population.

Methods:

A systematic literature search was conducted using multiple electronic databases (MEDLINE and The Cochrane Library, Scopus, CINAHL, and medRxiv) until January 2022. Studies with at least 100 people with confirmed or self-reported COVID-19 symptoms at ≥28 days following infection onset were included. Patient-reported outcome measures and clinical investigations were both assessed. Results were analysed descriptively, and meta-analyses were conducted to derive prevalence estimates. This study was pre-registered (PROSPERO-ID CRD42021238247).

Findings:

194 studies totalling 735,006 participants were included, with five studies conducted in those <18 years of age. Most studies were conducted in Europe (n = 106) or Asia (n = 49), and the time to follow-up ranged from ≥28 days to 387 days. 122 studies reported data on hospitalised patients, 18 on non-hospitalised, and 54 on hospitalised and non-hospitalised combined (mixed). On average, at least 45% of COVID-19 survivors, regardless of hospitalisation status, went on to experience at least one unresolved symptom (mean follow-up 126 days). Fatigue was frequently reported across hospitalised (28.4%; 95% CI 24.7%-32.5%), non-hospitalised (34.8%; 95% CI 17.6%-57.2%), and mixed (25.2%; 95% CI 17.7%-34.6%) cohorts. Amongst the hospitalised cohort, abnormal CT patterns/x-rays were frequently reported (45.3%; 95% CI 35.3%-55.7%), alongside ground glass opacification (41.1%; 95% CI 25.7%-58.5%), and impaired diffusion capacity for carbon monoxide (31.7%; 95% CI 25.8%-3.2%).

Interpretation:

Our work shows that 45% of COVID-19 survivors, regardless of hospitalisation status, were experiencing a range of unresolved symptoms at ∼ 4 months. Current understanding is limited by heterogeneous study design, follow-up durations, and measurement methods. Definition of subtypes of Long Covid is unclear, subsequently hampering effective treatment/management strategies.

Funding:

No funding.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Topics: Long Covid Language: English Journal: EClinicalMedicine Year: 2023 Document Type: Article Affiliation country: J.eclinm.2022.101762

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study / Reviews / Systematic review/Meta Analysis Topics: Long Covid Language: English Journal: EClinicalMedicine Year: 2023 Document Type: Article Affiliation country: J.eclinm.2022.101762