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1.
BMJ Open ; 10(10): e044566, 2020 10 05.
Artigo em Inglês | MEDLINE | ID: mdl-33020111

RESUMO

OBJECTIVES: To analyse enrolment to interventional trials during the first wave of the COVID-19 pandemic in England and describe the barriers to successful recruitment in the circumstance of a further wave or future pandemics. DESIGN: We analysed registered interventional COVID-19 trial data and concurrently did a prospective observational study of hospitalised patients with COVID-19 who were being assessed for eligibility to one of the RECOVERY, C19-ACS or SIMPLE trials. SETTING: Interventional COVID-19 trial data were analysed from the clinicaltrials.gov and International Standard Randomized Controlled Trial Number databases on 12 July 2020. The patient cohort was taken from five centres in a respiratory National Institute for Health Research network. Population and modelling data were taken from published reports from the UK government and Medical Research Council Biostatistics Unit. PARTICIPANTS: 2082 consecutive admitted patients with laboratory-confirmed SARS-CoV-2 infection from 27 March 2020 were included. MAIN OUTCOME MEASURES: Proportions enrolled, and reasons for exclusion from the aforementioned trials. Comparisons of trial recruitment targets with estimated feasible recruitment numbers. RESULTS: Analysis of trial registration data for COVID-19 treatment studies enrolling in England showed that by 12 July 2020, 29 142 participants were needed. In the observational study, 430 (20.7%) proceeded to randomisation. 82 (3.9%) declined participation, 699 (33.6%) were excluded on clinical grounds, 363 (17.4%) were medically fit for discharge and 153 (7.3%) were receiving palliative care. With 111 037 people hospitalised with COVID-19 in England by 12 July 2020, we determine that 22 985 people were potentially suitable for trial enrolment. We estimate a UK hospitalisation rate of 2.38%, and that another 1.25 million infections would be required to meet recruitment targets of ongoing trials. CONCLUSIONS: Feasible recruitment rates, study design and proliferation of trials can limit the number, and size, that will successfully complete recruitment. We consider that fewer, more appropriately designed trials, prioritising cooperation between centres would maximise productivity in a further wave.


Assuntos
Pesquisa Biomédica , Infecções por Coronavirus , Pandemias , Seleção de Pacientes , Pneumonia Viral , Ensaios Clínicos Controlados Aleatórios como Assunto , Betacoronavirus/isolamento & purificação , Pesquisa Biomédica/organização & administração , Pesquisa Biomédica/estatística & dados numéricos , COVID-19 , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/terapia , Definição da Elegibilidade , Feminino , Acessibilidade aos Serviços de Saúde/estatística & dados numéricos , Hospitalização/estatística & dados numéricos , Humanos , Masculino , Pessoa de Meia-Idade , Pneumonia Viral/epidemiologia , Pneumonia Viral/terapia , Estudos Prospectivos , Ensaios Clínicos Controlados Aleatórios como Assunto/métodos , Ensaios Clínicos Controlados Aleatórios como Assunto/estatística & dados numéricos , Sistema de Registros/estatística & dados numéricos , SARS-CoV-2 , Reino Unido
2.
Elife ; 92020 06 19.
Artigo em Inglês | MEDLINE | ID: mdl-32558644

RESUMO

Previously, we showed that 3% (31/1032)of asymptomatic healthcare workers (HCWs) from a large teaching hospital in Cambridge, UK, tested positive for SARS-CoV-2 in April 2020. About 15% (26/169) HCWs with symptoms of coronavirus disease 2019 (COVID-19) also tested positive for SARS-CoV-2 (Rivett et al., 2020). Here, we show that the proportion of both asymptomatic and symptomatic HCWs testing positive for SARS-CoV-2 rapidly declined to near-zero between 25th April and 24th May 2020, corresponding to a decline in patient admissions with COVID-19 during the ongoing UK 'lockdown'. These data demonstrate how infection prevention and control measures including staff testing may help prevent hospitals from becoming independent 'hubs' of SARS-CoV-2 transmission, and illustrate how, with appropriate precautions, organizations in other sectors may be able to resume on-site work safely.


Assuntos
Técnicas de Laboratório Clínico/estatística & dados numéricos , Infecções por Coronavirus/transmissão , Pessoal de Saúde , Programas de Rastreamento/estatística & dados numéricos , Doenças Profissionais/prevenção & controle , Pandemias , Pneumonia Viral/transmissão , Adulto , Doenças Assintomáticas , Betacoronavirus/genética , Betacoronavirus/isolamento & purificação , COVID-19 , Teste para COVID-19 , Infecções Comunitárias Adquiridas/transmissão , Busca de Comunicante , Infecções por Coronavirus/diagnóstico , Infecções por Coronavirus/epidemiologia , Infecções por Coronavirus/prevenção & controle , Transmissão de Doença Infecciosa/prevenção & controle , Inglaterra/epidemiologia , Características da Família , Feminino , Unidades Hospitalares , Hospitais de Ensino/organização & administração , Hospitais de Ensino/estatística & dados numéricos , Hospitais Universitários/organização & administração , Hospitais Universitários/estatística & dados numéricos , Humanos , Controle de Infecções , Transmissão de Doença Infecciosa do Paciente para o Profissional/estatística & dados numéricos , Masculino , Programas de Rastreamento/organização & administração , Pessoa de Meia-Idade , Nasofaringe/virologia , Doenças Profissionais/epidemiologia , Pandemias/prevenção & controle , Admissão do Paciente/estatística & dados numéricos , Pneumonia Viral/diagnóstico , Pneumonia Viral/epidemiologia , Pneumonia Viral/prevenção & controle , Prevalência , Avaliação de Programas e Projetos de Saúde , Reação em Cadeia da Polimerase em Tempo Real , SARS-CoV-2 , Avaliação de Sintomas
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