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Cancer History and Systemic Anti-Cancer Therapy Independently Predict COVID-19 Mortality: A UK Tertiary Hospital Experience.
Sng, Christopher C T; Wong, Yien Ning Sophia; Wu, Anjui; Ottaviani, Diego; Chopra, Neha; Galazi, Myria; Benafif, Sarah; Soosaipillai, Gehan; Roylance, Rebecca; Lee, Alvin J X; Shaw, Heather.
Afiliação
  • Sng CCT; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Wong YNS; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Wu A; UCL Cancer Institute, University College London, London, United Kingdom.
  • Ottaviani D; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Chopra N; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Galazi M; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Benafif S; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Soosaipillai G; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Roylance R; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Lee AJX; Cancer Division, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
  • Shaw H; NIHR University College London Hospitals Biomedical Research Centre, London, United Kingdom.
Front Oncol ; 10: 595804, 2020.
Article em En | MEDLINE | ID: mdl-33330085
BACKGROUND: The COVID-19 pandemic remains a pressing concern to patients with cancer as countries enter the second peak of the pandemic and beyond. It remains unclear whether cancer and its treatment contribute an independent risk for mortality in COVID-19. METHODS: We included patients at a London tertiary hospital with laboratory confirmed SARS-CoV-2 infection. All patients with a history of solid cancer were included. Age- and sex-matched patients without cancer were randomly selected. Patients with hematological malignancies were excluded. RESULTS: We identified 94 patients with cancer, matched to 226 patients without cancer. After adjusting for age, ethnicity, and co-morbidities, patients with cancer had increased mortality following COVID-19 (HR 1.57, 95% CI:1.04-2.4, p = 0.03). Increasing age (HR 1.49 every 10 years, 95% CI:1.25-1.8, p < 0.001), South Asian ethnicity (HR 2.92, 95% CI:1.73-4.9, p < 0.001), and cerebrovascular disease (HR 1.93, 95% CI:1.18-3.2, p = 0.008) also predicted mortality. Within the cancer cohort, systemic anti-cancer therapy (SACT) within 60 days of COVID-19 diagnosis was an independent risk factor for mortality (HR 2.30, 95% CI: 1.16-4.6, p = 0.02). CONCLUSIONS: Along with known risk factors, cancer and SACT confer an independent risk for mortality following COVID-19. Further studies are needed to understand the socio-economic influences and pathophysiology of these associations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article