Adolescents and young adults with cancer: the clinical course of COVID-19 infections.
Julie Anna WolfsonElizabeth S DavisAniket SahaIsaac MartinezDavid McCallPrachi KothariJulienne BrackettDavid S DickensAlissa R KahnCarla SchwalmArchana SharmaJoshua RichmanBranko Cuglievannull nullSmita BhatiaChen DaiJennifer M LevineEmily E JohnstonPublished in: Journal of the National Cancer Institute (2024)
Adolescents and young adults (ie, individuals aged 15-39 years, known as AYAs) with cancer face unique vulnerabilities yet remain underrepresented in clinical trials, including adult registries of COVID-19 in cancer (AYAs: 8%-12%). We used the Pediatric Oncology COVID-19 Case Report to examine the clinical course of COVID-19 among AYAs with cancer. The Pediatric Oncology COVID-19 Case Report collects deidentified clinical and sociodemographic data regarding individuals aged from birth to 39 years with cancer (37%) and COVID-19 from more than 100 institutions. Between April 1, 2020, and November 28, 2023, 191 older AYAs (individuals 22-39 years of age) and 640 younger AYAs (individuals 15-21 years of age) were captured. Older AYAs were less often hospitalized (P < .001), admitted to the intensive care unit (P = .02), and required respiratory support (P = .057). In multivariable analyses, older AYAs faced 80% lower odds of intensive care unit admission but 2.3-times greater odds of changes to cancer-directed therapy. Unvaccinated patients had 5.4-times higher odds of intensive care unit admission. Among AYAs with cancer, the COVID-19 course varies by age. These findings can inform oncology teams directing COVID-19 management and prevention in AYA patients with cancer.
Keyphrases
- coronavirus disease
- sars cov
- papillary thyroid
- intensive care unit
- squamous cell
- case report
- clinical trial
- emergency department
- childhood cancer
- palliative care
- randomized controlled trial
- physical activity
- pregnant women
- young adults
- prognostic factors
- big data
- community dwelling
- smoking cessation
- mechanical ventilation
- study protocol
- artificial intelligence
- mesenchymal stem cells