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BMJ Open Respir Res ; 8(1)2021 04.
Artigo em Inglês | MEDLINE | ID: mdl-33827856

RESUMO

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.


Assuntos
Assistência ao Convalescente , Biomarcadores/análise , COVID-19 , Alta do Paciente/normas , Radiografia Torácica , Avaliação de Sintomas , Assistência ao Convalescente/métodos , Assistência ao Convalescente/organização & administração , COVID-19/sangue , COVID-19/diagnóstico por imagem , COVID-19/epidemiologia , COVID-19/fisiopatologia , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Aceitação pelo Paciente de Cuidados de Saúde/estatística & dados numéricos , Radiografia Torácica/métodos , Radiografia Torácica/estatística & dados numéricos , Recuperação de Função Fisiológica , Estudos Retrospectivos , SARS-CoV-2 , Índice de Gravidade de Doença , Avaliação de Sintomas/métodos , Avaliação de Sintomas/estatística & dados numéricos , Fatores de Tempo , Reino Unido/epidemiologia
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