PLoS ONE (Jan 2023)

LOCUS (LOng Covid-Understanding Symptoms, events and use of services in Portugal): A three-component study protocol.

  • J P Dinis Teixeira,
  • Mário J D S Santos,
  • Patrícia Soares,
  • Luísa de Azevedo,
  • Patrícia Barbosa,
  • Andreia Vilas Boas,
  • João V Cordeiro,
  • Sónia Dias,
  • Marta Fonseca,
  • Ana Rita Goes,
  • Maria João Lobão,
  • Marta Moniz,
  • Sofia Nóbrega,
  • André Peralta-Santos,
  • Víctor Ramos,
  • João Victor Rocha,
  • António Carlos da Silva,
  • Maria da Luz Brazão,
  • Andreia Leite,
  • Carla Nunes

DOI
https://doi.org/10.1371/journal.pone.0285051
Journal volume & issue
Vol. 18, no. 4
p. e0285051

Abstract

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Approximately 10% of patients experience symptoms of Post COVID-19 Condition (PCC) after a SARS-CoV-2 infection. Akin acute COVID-19, PCC may impact a multitude of organs and systems, such as the cardiovascular, respiratory, musculoskeletal, and neurological systems. The frequency and associated risk factors of PCC are still unclear among both community and hospital settings in individuals with a history of COVID-19. The LOCUS study was designed to clarify the PCC's burden and associated risk factors. LOCUS is a multi-component study that encompasses three complementary building blocks. The "Cardiovascular and respiratory events following COVID-19" component is set to estimate the incidence of cardiovascular and respiratory events after COVID-19 in eight Portuguese hospitals via electronic health records consultation. The "Physical and mental symptoms following COVID-19" component aims to address the community prevalence of self-reported PCC symptoms through a questionnaire-based approach. Finally, the "Treating and living with Post COVID-19 Condition" component will employ semi-structured interviews and focus groups to characterise reported experiences of using or working in healthcare and community services for the treatment of PCC symptoms. This multi-component study represents an innovative approach to exploring the health consequences of PCC. Its results are expected to provide a key contribution to the optimisation of healthcare services design.