COVID-19 in patients with lung cancer
Ce dossier présente un ensemble d'articles concernant la prise en charge des cancers durant la crise sanitaire liée au COVID-19
Résumé en anglais
Background : Patients with lung cancers may have disproportionately severe COVID-19 outcomes. Understanding the patient-specific and cancer-specific features that impact severity of COVID-19 may inform optimal cancer care during this pandemic. Patients and methods : We examined consecutive patients with lung cancer and confirmed diagnosis of COVID-19 (n=102) at a single center from March 12-May 6, 2020. Thresholds of severity were defined a priori as hospitalization, ICU/intubation/DNI (a composite metric of severe disease including ICU stay, intubation and invasive mechanical ventilation, and/or transition to do not intubate [DNI]), or death. Recovery was defined as >14 days from COVID-19 test and >3 days since symptom resolution. HLA alleles were inferred from MSK-IMPACT (n=46) and compared to controls with lung cancer and no known non-COVID-19 (n=5166). Results : COVID-19 was severe in patients with lung cancer (62% hospitalized, 25% died). Although severe, COVID-19 accounted for a minority of overall lung cancer-deaths during the pandemic (11% overall). Determinants of COVID-19 severity were largely patient-specific features, including smoking status and chronic obstructive pulmonary disease (Odds ratios for severe COVID-19 2.9, 95% CI 1.07-9.44 comparing the median [23.5 pack-years] to never and 3.87, 95% CI 1.35-9.68, respectively). Cancer-specific features, including prior thoracic surgery/radiation and recent systemic therapies did not impact severity. HLA supertypes were generally similar in mild or severe cases of COVID-19 compared to non-COVID-19 controls. Most patients recovered from COVID-19, including 25% patients initially requiring intubation. Among hospitalized patients, hydroxychloroquine did not improve COVID-19 outcomes. Conclusion : COVID-19 is associated with high burden of severity in patients with lung cancer. Patient-specific features, rather than cancer-specific features or treatments, are the greatest determinants of severity.
