COVID-19 in Patients with Cancer: A Retrospective Study of 212 Cases from a French SARS-CoV-2 Cluster During the First Wave of the COVID-19 Pandemic.
Sophie MartinCharlotte KaeufferPierre LeyendeckerNicolas TuzinYoussef TaziFrédérique Schaff-WendlingTiffanie KleinhenyStéphanie Husson-WetzelGuillaume PamartJean-Marc LimacherOlivier ClercElise DicopJean-Emmanuel KurtzPhilippe BarthélémyJustine GantzerPublished in: The oncologist (2021)
We describe a large series of patients with solid tumors in an early COVID-19 cluster in the eastern part of France. From February to May 2020, this multicenter retrospective study enrolled 212 patients with cancer under treatment or on follow-up for any type of malignant solid tumor and positive for SARS-CoV-2. The mortality rate was 30%. Patients with gastrointestinal cancers were identified as a subset of more vulnerable patients; immunotherapy and radiotherapy within 3 months from COVID-19 diagnosis were risk factors for death. The reported data support the essential need to be proactive and weigh the risks of morbidity from COVID-19 against the magnitude of benefits of intended cancer therapies during this pandemic. IMPLICATIONS FOR PRACTICE: This article supports the essential need to be proactive (treatment delay or modification) in oncology in the setting of pandemic. This study identified patients with gastrointestinal cancers as a more vulnerable subset of patients with cancer and found that immunotherapy and radiotherapy within 3 months from COVID-19 diagnosis to be risk factors for death. The reported data indicate the necessity of weighing the risks of morbidity from COVID-19 against the magnitude of benefits of intended cancer therapies in any future wave of COVID-19.
Keyphrases
- sars cov
- coronavirus disease
- respiratory syndrome coronavirus
- healthcare
- end stage renal disease
- radiation therapy
- clinical trial
- squamous cell carcinoma
- chronic kidney disease
- papillary thyroid
- south africa
- palliative care
- deep learning
- climate change
- risk assessment
- cardiovascular events
- coronary artery disease
- prognostic factors
- peritoneal dialysis
- big data
- young adults
- patient reported outcomes
- squamous cell
- data analysis