Your browser doesn't support javascript.
loading
COVID-19 in breast cancer patients: a cohort at the Institut Curie hospitals in the Paris area
Perrine Vuagnat; Maxime Frelaut; Toulsie Ramtohul; Clemence Basse; Sarah Diakite; Aurelien Noret; Audrey Bellesoeur; Vincent Servois; Delphine Hequet; Enora Laas; Youlia Kirova; Luc Cabel; Jean-Yves Pierga; Institut Curie Breast Cancer and COVID Group; Laurence Bozec; Xavier Paoletti; Paul Cottu; Francois-Clement Bidard.
Affiliation
  • Perrine Vuagnat; Institut Curie
  • Maxime Frelaut; Institut Curie
  • Toulsie Ramtohul; Institut Curie
  • Clemence Basse; Institut Curie
  • Sarah Diakite; Institut Curie
  • Aurelien Noret; Institut Curie
  • Audrey Bellesoeur; Institut Curie
  • Vincent Servois; Institut Curie
  • Delphine Hequet; Institut Curie
  • Enora Laas; Institut Curie
  • Youlia Kirova; Institut Curie
  • Luc Cabel; Institut Curie
  • Jean-Yves Pierga; Institut Curie
  • Institut Curie Breast Cancer and COVID Group;
  • Laurence Bozec; Institut Curie
  • Xavier Paoletti; INSERM U900
  • Paul Cottu; Institut Curie
  • Francois-Clement Bidard; Institut Curie
Preprint in English | medRxiv | ID: ppmedrxiv-20085928
Journal article
A scientific journal published article is available and is probably based on this preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See journal article
ABSTRACT
BackgroundCancer patients have been reported to be at higher risk of COVID-19 complications and deaths. We report the characteristics and outcome of patients diagnosed with COVID-19 during breast cancer treatment at Institut Curie hospitals (ICH, Paris area, France). MethodsAn IRB-approved prospective registry was set up at ICH on March 13th, 2020 for all breast cancer patients with COVID-19 symptoms or radiologic signs. Registered data included patient history, tumor characteristics and treatments, COVID-19 symptoms, radiological features and outcome. Data extraction was done on April 25th, 2020. COVID-19 patients were defined as those with either a positive RNA test or typical, newly appeared lung CT-scan abnormalities. ResultsAmong 15,600 patients actively treated for early or metastatic breast cancer during the last 4 months at ICH, 76 patients with suspected COVID-19 infection were included in the registry and followed. Fifty-nine of these patients were diagnosed with COVID-19 based on viral RNA testing (N=41) or typical radiologic signs 37/59 (63%) COVID-19 patients were treated for metastatic breast cancer, and 13/59 (22%) of them were taking corticosteroids daily. Common clinical features mostly consisted of fever and/or cough, while ground-glass opacities were the most common radiologic sign at diagnosis. We found no association between prior radiation therapy fields or extent of radiation therapy sequelae and extent of COVID-19 lung lesions. Twenty-eight of these 59 patients (47%) were hospitalized and 6 (10%) were transferred to an intensive care unit. At the time of analysis, 45/59 (76%) patients were recovering or had been cured, 10/59 (17%) were still followed and 4/59 (7%) had died from COVID-19. All 4 patients who died had significant non-cancer comorbidities. In univariate analysis, hypertension and age (>70) were the two factors associated with a higher risk of intensive care unit admission and/or death. ConclusionsThis prospective registry analysis suggests that the COVID-19 mortality rate in breast cancer patients depends more on comorbidities than prior radiation therapy or current anti-cancer treatment. Special attention must be paid to comorbidities when estimating the risk of severe COVID-19 in breast cancer patients.
License
cc_no
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study / Review Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Cohort_studies / Observational study / Prognostic study / Review Language: English Year: 2020 Document type: Preprint
...