Literature DB >> 32845538

Cancer and Risk of COVID-19 Through a General Community Survey.

Karla A Lee1, Wenjie Ma2, Daniel R Sikavi3, David A Drew2, Long H Nguyen2, Ruth C E Bowyer1, M Jorge Cardoso4, Tove Fall5,6, Maxim B Freidin1, Maria Gomez5, Mark Graham4, Chuan-Guo Guo2, Amit D Joshi2, Sohee Kwon2, Chun-Han Lo2, Mary Ni Lochlainn1, Cristina Menni1, Benjamin Murray4, Raaj Mehta2, Mingyang Song2, Carole H Sudre4, Veronique Bataille1, Thomas Varsavsky4, Alessia Visconti1, Paul W Franks5, Jonathan Wolf7, Claire J Steves1, Sebastien Ourselin4, Tim D Spector1, Andrew T Chan2,8,9.   

Abstract

Individuals with cancer may be at high risk for coronavirus disease 2019 (COVID-19) and adverse outcomes. However, evidence from large population-based studies examining whether cancer and cancer-related therapy exacerbates the risk of COVID-19 infection is still limited. Data were collected from the COVID Symptom Study smartphone application since March 29 through May 8, 2020. Among 23,266 participants with cancer and 1,784,293 without cancer, we documented 10,404 reports of a positive COVID-19 test. Compared with participants without cancer, those living with cancer had a 60% increased risk of a positive COVID-19 test. Among patients with cancer, current treatment with chemotherapy or immunotherapy was associated with a 2.2-fold increased risk of a positive test. The association between cancer and COVID-19 infection was stronger among participants >65 years and males. Future studies are needed to identify subgroups by tumor types and treatment regimens who are particularly at risk for COVID-19 infection and adverse outcomes.
© 2020 The Authors. The Oncologist published by Wiley Periodicals LLC on behalf of AlphaMed Press.

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Year:  2020        PMID: 32845538      PMCID: PMC7460944          DOI: 10.1634/theoncologist.2020-0572

Source DB:  PubMed          Journal:  Oncologist        ISSN: 1083-7159            Impact factor:   5.837


Introduction

Individuals with cancer may be at higher risk for coronavirus disease 2019 (COVID‐19). However, much of the available data are limited to small studies conducted among hospitalized patients. Through a large community‐based survey, we sought to determine whether incidence of infection, including milder disease with more limited symptoms, is higher in individuals with cancer, including those on chemotherapy/immunotherapy.

Methods

We recruited individuals from the general population in the U.K., U.S., and Sweden using The COVID Symptom Study, a freely available smartphone application developed by Zoe Global Ltd. with scientific input from researchers and clinicians at Massachusetts General Hospital and King's College London. The application offers a guided interface to report a range of baseline demographic information and comorbidities, as previously reported [1]. Participants are encouraged to use the application daily to report symptoms and COVID‐19 testing results. We queried if individuals were living with cancer (yes/no) and if they were on chemotherapy or immunotherapy (yes/no) beginning on March 29, 2020. We used multivariable logistic regression models to examine the association between cancer and the risk of a positive COVID‐19 test, adjusting for age, date, country, and additional covariates including sex, body mass index (<18.5, 18.5–24.9, 25–29.9, and ≥30 kg/m2), history of diabetes, heart disease, lung disease, kidney disease, and current smoking status (each yes/no). We separately analyzed the risk associated with chemotherapy or immunotherapy for a positive COVID‐19 test among individuals with cancer. Two‐sided p values <.05 were considered statistically significant. All analyses were performed using R 3.6.1 (Vienna, Austria).

Results

Through May 8, 2020, 1,807,559 participants provided demographic and longitudinal symptom and testing information. Compared with individuals without cancer, those with cancer were older, more frequently male, and more commonly overweight or obese, among other comorbidities (Table 1). They were more likely to use several common medications and have health problems requiring them to stay at home. Among 23,266 individuals with cancer and 1,784,293 without cancer, we documented 155 and 10,249 reports of a positive COVID‐19 test, respectively (Table 2). Compared with individuals without cancer, those with cancer had a 60% increased risk of a positive COVID‐19 test (adjusted odds ratio [aOR]: 1.60; 95% confidence interval (CI): 1.36–1.88). The association between cancer and a positive COVID‐19 test was stronger among participants older than 65 years (aOR: 1.93; 95% CI: 1.51–2.46) compared with younger participants (aOR: 1.32; 95% CI: 1.06–1.64; Pinteraction < .001) and among males (aOR: 1.71; 95% CI: 1.36–2.15) compared with females (aOR: 1.43; 95% CI: 1.14–1.79; Pinteraction = .02). The risk estimates did not significantly differ according to race (white: aOR: 1.84; 95% CI: 1.52–2.23; nonwhite: aOR: 2.08; 95% CI: 1.05–4.12; Pinteraction = .85). Additional adjustment for education and income as surrogates for socioeconomic status did not materially change the associations. Chemotherapy or immunotherapy was associated with a twofold increased risk of a positive COVID‐19 test (aOR: 2.22; 95% CI: 1.68–2.94). An increased risk of hospitalization due to COVID‐19 was associated with a cancer diagnosis (aOR: 2.47; 95% CI: 2.22–2.76) and chemotherapy/immunotherapy (aOR: 4.16; 95% CI: 2.50–4.95). Using a validated symptom‐based prediction model for COVID‐19 [2], the aOR for predicted COVID‐19 was 1.32 (95% CI: 1.22–1.42) for those with cancer and 1.55 (95% CI: 1.33–1.79) for those on chemotherapy/immunotherapy. The symptoms were somewhat less prominent in patients with cancer (data not shown).
Table 1

Baseline characteristics of participants according to cancer history and chemotherapy or immunotherapy

CharacteristicsCancer, %Chemotherapy/immunotherapy, %
No (n = 1,784,293)Yes (n = 23,266)No (n = 1,802,655)Yes (n = 4,904)
Country
U.K.81.677.181.575.1
U.S.11.818.311.919.7
Sweden6.64.76.65.2
Age group, years
<2515.50.915.31.8
25–3414.11.014.01.7
35–4417.03.916.95.9
45–5418.910.718.814.8
55–6417.323.117.423.4
≥6517.260.317.652.5
Male sex42.755.242.945.8
Ethnicity
Hispanic5.93.55.94.4
Non‐Hispanic90.293.390.291.7
Prefer not to say3.93.33.93.9
Race
White93.695.693.794.9
Black1.41.01.41.1
Asian2.51.72.52.0
Other2.01.22.01.4
Prefer not to say0.40.40.40.5
Body mass index group
<18.56.53.36.44.1
18.5–24.940.437.040.338.7
25–29.931.136.531.233.8
≥3022.023.222.023.3
Comorbidities
Diabetes4.010.24.110.3
Heart disease3.412.63.510.6
Lung disease12.117.112.118.4
Kidney disease0.84.50.94.8
Smoking status
Never70.861.670.763.7
Past20.233.220.431.4
Current9.05.38.95.0
Limited mobilitya 7.140.97.464.1
Medication use
Immunosuppressantsb 3.516.33.543.7
ACE inhibitor7.317.17.415.4
Aspirin4.816.34.917.5
NSAIDs7.410.87.510.8
Interaction with individuals with COVID‐19
No87.093.287.194.5
Yes, suspected9.54.89.43.8
Yes, documented3.52.03.51.7
Frontline health care worker7.22.87.12.1

Proportions are calculated based on the total number of participants with available data.

History of cancer, uses of aspirin and NSAIDs, and smoking status have been queried since launch in the U.S. and Sweden and since March 29, 2020, in the U.K.

Immunosuppressant medications including steroids, methotrexate, biologics were asked.

Limited mobility was asked as “In general, do you have any health problems that require you to stay at home?”

Abbreviations: ACE, angiotensin‐converting enzyme; COVID‐19, coronavirus disease 2019; NSAIDs, nonsteroidal anti‐inflammatory drugs.

Table 2

Associations between cancer history, chemotherapy/immunotherapy, and risk of COVID‐19

COVID‐19/cancer statusEvent/participantsOdds ratio (95% CI)
Model 1Model 2
Positive COVID‐19 testing
Living with cancer
No10,249/1,784,29311
Yes155/23,2661.65 (1.40–1.93)1.60 (1.36–1.88)
Chemotherapy/immunotherapy
No4,854/1,802,65511
Yes50/4,9042.34 (1.77–3.09)2.22 (1.68–2.94)
Predicted COVID‐19 infection
Living with cancer
No83,874/1,784,29311
Yes725/23,2661.38 (1.27–1.48)1.32 (1.22–1.42)
Chemotherapy/immunotherapy
No84,403/1,802,65511
Yes196/4,9041.61 (1.39–1.86)1.55 (1.33–1.79)
Hospitalization for COVID‐19
Living with cancer
No11,698/1,784,29311
Yes370/23,2662.69 (2.42–2.99)2.47 (2.22–2.76)
Chemotherapy/immunotherapy
No11,928/1,802,655
Yes140/4,9044.62 (3.89–5.49)4.16 (3.50–4.95)

Model 1: adjusted for age groups, country, and date at entry.

Model 2: further adjusted for body mass index (<18.5, 18.5–24.9, 25–29.9, and ≥ 30 kg/m2), sex, history of diabetes, heart disease, lung disease, kidney disease, and current smoker status.

Abbreviations: CI, confidence interval; COVID‐19, coronavirus disease 2019.

Baseline characteristics of participants according to cancer history and chemotherapy or immunotherapy Proportions are calculated based on the total number of participants with available data. History of cancer, uses of aspirin and NSAIDs, and smoking status have been queried since launch in the U.S. and Sweden and since March 29, 2020, in the U.K. Immunosuppressant medications including steroids, methotrexate, biologics were asked. Limited mobility was asked as “In general, do you have any health problems that require you to stay at home?” Abbreviations: ACE, angiotensin‐converting enzyme; COVID‐19, coronavirus disease 2019; NSAIDs, nonsteroidal anti‐inflammatory drugs. Associations between cancer history, chemotherapy/immunotherapy, and risk of COVID‐19 Model 1: adjusted for age groups, country, and date at entry. Model 2: further adjusted for body mass index (<18.5, 18.5–24.9, 25–29.9, and ≥ 30 kg/m2), sex, history of diabetes, heart disease, lung disease, kidney disease, and current smoker status. Abbreviations: CI, confidence interval; COVID‐19, coronavirus disease 2019.

Discussion

Among >1.8 million participants, we found that individuals living with cancer had a 60% increased risk of a positive COVID‐19 test or hospitalization with COVID‐19, with greater risks for older individuals or those receiving anticancer therapies. Prior studies have shown that individuals with cancer make up a disproportionate share of poorer COVID‐19 outcomes [3, 4, 5, 6], including death. However, these studies had small sample sizes and are largely based on hospitalized patients, capturing the most severe cases. Individuals living with cancer also tend to be older with greater comorbidities that predispose to hospitalization and adverse events. A retrospective cohort study with 1,035 COVID‐19–positive patients with cancer in the U.S., Canada, and Spain reported high 30‐day all‐cause mortality [7]. This study also demonstrated numerically higher rates of death outside the intensive care unit in patients with active cancer, with the reverse pattern seen for those in remission. A prospective cohort study reported that COVID‐19 mortality in 800 U.K.‐based patients with cancer was principally related to advancing age and the presence of other noncancer comorbidities, but not recent anticancer treatment [8]. Our results from a large, community‐based sample support that incidence of infection, including milder disease with more limited symptoms, is also higher in individuals with cancer. Our study was limited by the use of self‐reported information collected from individuals who used smartphone devices, thereby under‐representing those without smartphones. COVID‐19 testing was not based on uniform screening. However, shortages of polymerase chain reaction–based testing kits in both the U.K. and the U.S. early in the pandemic did not make such an approach feasible. Additionally, we had limited data on specific tumor types and treatment regimen. We are planning future studies collecting more detailed information from individuals with cancer with linkage to other data sources.

Conclusion

Within a large population‐based sample that encompassed more than 20,000 patients with cancer, we demonstrated a significantly increased risk of COVID‐19 infection among patients with cancer, which was greater among older and male individuals. Treatment with chemotherapy or immunotherapy was associated with increased risk of infection.

Disclosures

David A. Drew: Zoe Global Ltd. (RF); Jonathan Wolf: Zoe Global Ltd. (E, OI); Tim D. Spector: Zoe Global Ltd. (C/A); Andrew T. Chan: Zoe Global Ltd. (RF). The other authors indicated no financial relationships. (C/A) Consulting/advisory relationship; (RF) Research funding; (E) Employment; (ET) Expert testimony; (H) Honoraria received; (OI) Ownership interests; (IP) Intellectual property rights/inventor/patent holder; (SAB) Scientific advisory board
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Journal:  Nat Med       Date:  2020-06-24       Impact factor: 53.440

2.  Patients with Cancer Appear More Vulnerable to SARS-CoV-2: A Multicenter Study during the COVID-19 Outbreak.

Authors:  Mengyuan Dai; Dianbo Liu; Miao Liu; Fuxiang Zhou; Guiling Li; Zhen Chen; Zhian Zhang; Hua You; Meng Wu; Qichao Zheng; Yong Xiong; Huihua Xiong; Chun Wang; Changchun Chen; Fei Xiong; Yan Zhang; Yaqin Peng; Siping Ge; Bo Zhen; Tingting Yu; Ling Wang; Hua Wang; Yu Liu; Yeshan Chen; Junhua Mei; Xiaojia Gao; Zhuyan Li; Lijuan Gan; Can He; Zhen Li; Yuying Shi; Yuwen Qi; Jing Yang; Daniel G Tenen; Li Chai; Lorelei A Mucci; Mauricio Santillana; Hongbing Cai
Journal:  Cancer Discov       Date:  2020-04-28       Impact factor: 39.397

3.  Clinical impact of COVID-19 on patients with cancer (CCC19): a cohort study.

Authors:  Nicole M Kuderer; Toni K Choueiri; Dimpy P Shah; Yu Shyr; Samuel M Rubinstein; Donna R Rivera; Sanjay Shete; Chih-Yuan Hsu; Aakash Desai; Gilberto de Lima Lopes; Petros Grivas; Corrie A Painter; Solange Peters; Michael A Thompson; Ziad Bakouny; Gerald Batist; Tanios Bekaii-Saab; Mehmet A Bilen; Nathaniel Bouganim; Mateo Bover Larroya; Daniel Castellano; Salvatore A Del Prete; Deborah B Doroshow; Pamela C Egan; Arielle Elkrief; Dimitrios Farmakiotis; Daniel Flora; Matthew D Galsky; Michael J Glover; Elizabeth A Griffiths; Anthony P Gulati; Shilpa Gupta; Navid Hafez; Thorvardur R Halfdanarson; Jessica E Hawley; Emily Hsu; Anup Kasi; Ali R Khaki; Christopher A Lemmon; Colleen Lewis; Barbara Logan; Tyler Masters; Rana R McKay; Ruben A Mesa; Alicia K Morgans; Mary F Mulcahy; Orestis A Panagiotou; Prakash Peddi; Nathan A Pennell; Kerry Reynolds; Lane R Rosen; Rachel Rosovsky; Mary Salazar; Andrew Schmidt; Sumit A Shah; Justin A Shaya; John Steinharter; Keith E Stockerl-Goldstein; Suki Subbiah; Donald C Vinh; Firas H Wehbe; Lisa B Weissmann; Julie Tsu-Yu Wu; Elizabeth Wulff-Burchfield; Zhuoer Xie; Albert Yeh; Peter P Yu; Alice Y Zhou; Leyre Zubiri; Sanjay Mishra; Gary H Lyman; Brian I Rini; Jeremy L Warner
Journal:  Lancet       Date:  2020-05-28       Impact factor: 79.321

4.  COVID-19 mortality in patients with cancer on chemotherapy or other anticancer treatments: a prospective cohort study.

Authors:  Lennard Yw Lee; Jean-Baptiste Cazier; Vasileios Angelis; Roland Arnold; Vartika Bisht; Naomi A Campton; Julia Chackathayil; Vinton Wt Cheng; Helen M Curley; Matthew W Fittall; Luke Freeman-Mills; Spyridon Gennatas; Anshita Goel; Simon Hartley; Daniel J Hughes; David Kerr; Alvin Jx Lee; Rebecca J Lee; Sophie E McGrath; Christopher P Middleton; Nirupa Murugaesu; Thomas Newsom-Davis; Alicia Fc Okines; Anna C Olsson-Brown; Claire Palles; Yi Pan; Ruth Pettengell; Thomas Powles; Emily A Protheroe; Karin Purshouse; Archana Sharma-Oates; Shivan Sivakumar; Ashley J Smith; Thomas Starkey; Chris D Turnbull; Csilla Várnai; Nadia Yousaf; Rachel Kerr; Gary Middleton
Journal:  Lancet       Date:  2020-05-28       Impact factor: 79.321

5.  Real-time tracking of self-reported symptoms to predict potential COVID-19.

Authors:  Cristina Menni; Ana M Valdes; Claire J Steves; Tim D Spector; Maxim B Freidin; Carole H Sudre; Long H Nguyen; David A Drew; Sajaysurya Ganesh; Thomas Varsavsky; M Jorge Cardoso; Julia S El-Sayed Moustafa; Alessia Visconti; Pirro Hysi; Ruth C E Bowyer; Massimo Mangino; Mario Falchi; Jonathan Wolf; Sebastien Ourselin; Andrew T Chan
Journal:  Nat Med       Date:  2020-05-11       Impact factor: 53.440

6.  Rapid implementation of mobile technology for real-time epidemiology of COVID-19.

Authors:  David A Drew; Long H Nguyen; Tim D Spector; Andrew T Chan; Claire J Steves; Cristina Menni; Maxim Freydin; Thomas Varsavsky; Carole H Sudre; M Jorge Cardoso; Sebastien Ourselin; Jonathan Wolf
Journal:  Science       Date:  2020-05-05       Impact factor: 47.728

7.  Do patients with cancer have a poorer prognosis of COVID-19? An experience in New York City.

Authors:  H Miyashita; T Mikami; N Chopra; T Yamada; S Chernyavsky; D Rizk; C Cruz
Journal:  Ann Oncol       Date:  2020-04-21       Impact factor: 32.976

8.  Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China.

Authors:  Wenhua Liang; Weijie Guan; Ruchong Chen; Wei Wang; Jianfu Li; Ke Xu; Caichen Li; Qing Ai; Weixiang Lu; Hengrui Liang; Shiyue Li; Jianxing He
Journal:  Lancet Oncol       Date:  2020-02-14       Impact factor: 41.316

  8 in total
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1.  Impact of cancer types on COVID-19 infection and mortality risk: a protocol for systematic review and meta-analysis.

Authors:  Jianhua Zou; Zhanshuo Xiao; Jingyan Yang; Liusheng Li; Tengteng Hao; Ning Cui; Jiao Wu; Yu Wu
Journal:  BMJ Open       Date:  2022-07-08       Impact factor: 3.006

2.  Hematologic malignancies and COVID-19 infection: A monocenter retrospective study.

Authors:  Hamed Azhdari Tehrani; Soodeh Ramezaninejad; Masoud Mardani; Shervin Shokouhi; Maryam Darnahal; Atousa Hakamifard
Journal:  Health Sci Rep       Date:  2022-05-22

3.  Pancreatic surgery during the COVID-19 pandemic 2020-2021: an observational cohort study from a third level referral center.

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4.  Diagnostic value of cutaneous manifestation of SARS-CoV-2 infection.

Authors:  A Visconti; V Bataille; N Rossi; J Kluk; R Murphy; S Puig; R Nambi; R C E Bowyer; B Murray; A Bournot; J Wolf; S Ourselin; C J Steves; T D Spector; M Falchi
Journal:  Br J Dermatol       Date:  2021-03-02       Impact factor: 11.113

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