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Ontario Cancer Facts

COVID-19 Infection Rates Highest Among Younger People with Cancer and People with Hematological Cancers

Mar 2023

 

  • Among adults in Ontario recently diagnosed with cancer, higher COVID-19 infection rates during the first year of the pandemic occurred among cancers diagnosed at a younger age and among hematological cancers.
  • Understanding who is more affected by COVID-19 allows for the implementation of interventions that mitigate infection and can guide future research on the populations at greatest risk.

 

During the first year of the COVID-19 pandemic in Ontario, there were 1,676 COVID-19 infections among 177,281 people who had been recently diagnosed with cancer. The age-adjusted rates of COVID-19 infection were similar (not statistically significant, p greater than 0.05) between people recently diagnosed with cancer (1.89 per 100 people) and the general Ontario population (2.02 per 100 people).

Before age-adjustment, the highest rates of COVID-19 infection among people with cancer were seen in cancers that occur more commonly at younger ages and in hematological cancers. These data included people in Ontario age 20 and older who were diagnosed with cancer from March 15, 2018 to March 14, 2020.

Cancer types significantly (p less than 0.05) associated with younger age at diagnosis include:

  • testicular (mean age at diagnosis 37.2 years)
  • cervical (48.0 years)
  • thyroid (51.3 years)

These compare with an average age at diagnosis of 64.5 years among all cancers combined.

Hematological cancers, which begin in the immune system or in tissues that create blood, include Hodgkin lymphoma, non-Hodgkin lymphoma, leukemia and myeloma.

From March 15, 2020 to February 28, 2021, the highest 10 COVID-19 infection rates (defined as the first COVID-19 positive test per person) among Ontario adults recently diagnosed with cancer ranged from 2.60 (testis) to 1.53 (non-Hodgkin lymphoma), as shown in the figure.

Note: For each cancer type, the vertical bars represent the 95% confidence intervals (95% CI) for the COVID-19 positive test rate. The horizontal dashed line shows the COVID-19 positive test rate of 1.43 (95% CI 1.36, 1.50) per 100 people for all cancers combined.

Cancer type COVID-19 test positive rate per 100 95% lower confidence limit 95% upper confidence limit
All cancers 1.43 1.36 1.50
Testis 2.605 1.742 3.878
Cervix 2.06 1.364 3.099
Thyroid 2.014 1.676 2.417
Hodgkin Lymphoma 1.935 1.134 3.281
Myeloma 1.918 1.412 2.602
Ovary 1.686 1.184 2.397
Liver and Intrehepatic bile duct 1.665 1.102 2.509
Leukemia 1.609 1.222 2.115
Uterus 1.554 1.251 1.93
Non-Hodgkin Lymphoma 1.526 1.249 1.864

Note: For each cancer type, the vertical bars represent the 95% confidence intervals (95% CI) for the COVID-19 positive test rate. The horizontal dashed line shows the COVID-19 positive test rate of 1.43 (95% CI 1.36, 1.50) per 100 people for all cancers combined.

Of all cancer types, only testicular and thyroid cancer had COVID-19 infection rates significantly higher (p less than 0.05) than for all cancers combined, which is likely related to younger age at diagnosis. This finding is consistent with the mean age of 45.3 years of people with COVID-19 infection in the general Ontario population.

The tendency for higher COVID-19 infection rates among people in Ontario with hematological cancers is consistent with other studies. This tendency may be related to the higher risk of infection due to elevated immunosuppression compared with other cancer types in this group of people with cancer. However, this analysis shows that COVID-19 infections are also associated with solid tumours (i.e., non-hematological).

People recently diagnosed with cancer are likely to be actively undergoing treatment, monitoring or follow-up and therefore may be more affected by the pandemic than others because:

  • their immunity may be suppressed
  • they cannot isolate when they need to interact with the healthcare system
  • their access to care may be delayed or interrupted

Ontario’s surgical shutdown date (March 15, 2020) was used to define the start of the first year of the COVID-19 pandemic. The Ontario Cancer Registry was used to identify the cancer cases (except non-melanoma skin cancers, which are not collected by the registry). The registry was linked to the Ontario Laboratory Information System, which was used to identify COVID infection based on lab test results for both people with cancer and the general Ontario population. This analysis did not include institutional residents such as people residing in long-term care.

Characterizing the impacts of COVID-19 among people with cancer has the following benefits:

  • Provides a foundation to better understanding who is affected
  • Helps the health system be more vigilant about groups of people at the greatest risk
  • Allows for the implementation of interventions that mitigate infection
  • Can guide epidemiologic investigations of the impact of COVID-19 among people with cancer

If you have comments or questions, please send us an email.

References

  1. US. National Institutes of Health NCI. Dictionary of Cancer Terms [Internet]. Dictionary of Cancer Terms. 2022 [cited 2022 Nov 21]. p. 1. Available from: https://www.cancer.gov/publications/dictionaries/cancer-terms/def/hematologic-cancer
  2. El-Sharkawi D, Iyengar S. Haematological cancers and the risk of severe COVID-19: Exploration and critical evaluation of the evidence to date. Br J Haematol [Internet]. 2020 Aug 1;190(3):336–45. Available from: https://doi.org/10.1111/bjh.16956
  3. Fillmore NR, La J, Szalat RE, Tuck DP, Nguyen V, Yildirim C, et al. Prevalence and Outcome of COVID-19 Infection in Cancer Patients: A National Veterans Affairs Study. JNCI J Natl Cancer Inst [Internet]. 2021 Jun 1;113(6):691–8. Available from: https://doi.org/10.1093/jnci/djaa159
  4. Ontario Health (Cancer Care Ontario). Ontario Cancer Statistics 2020 [Internet]. Toronto, ON; 2020. Available from: https://www.cancercareontario.ca/en/statistical-reports/ontario-cancer-statistics-2020
  5. Prodhan S, King MJ, De P, Gilbert J. Health Services Data: The Ontario Cancer Registry (a Unique, Linked, and Automated Population-Based Registry) BT - Data and Measures in Health Services Research. In: Sobolev B, Levy A, Goring S, editors. Boston, MA: Springer US; 2016. p. 1–27. Available from: https://doi.org/10.1007/978-1-4899-7673-4_18-1