Factors associated with SARS-CoV-2 infection and outcome in patients with solid tumors or hematological malignancies: a single-center study.


Journal

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer
ISSN: 1433-7339
Titre abrégé: Support Care Cancer
Pays: Germany
ID NLM: 9302957

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 28 08 2020
accepted: 24 03 2021
pubmed: 15 4 2021
medline: 16 10 2021
entrez: 14 4 2021
Statut: ppublish

Résumé

Immunocompromised cancer patients are presumed to be at high risk of developing COVID-19 infection. Predisposing factors to contracting COVID-19 and to severe outcomes have been described in registries but were not compared between solid tumors and hematological malignancies. This retrospective single oncologic center study included adults with solid tumors or hematological malignancies referred to testing by naso-pharyngeal swab for a SARS-CoV-2 RT-PCR from March 10 to May 18, 2020. A total of 212 patients were included in the study. Forty-five (21%) were tested positive with SARS-CoV-2. The univariate analysis with positive SARS-CoV-2 PCR as a dependent variable reveals significant odds ratios (ORs) for age-with a mean of 62.5 years-(OR: 1.05, 95% CI: 1.02-1.08), performance status ≥2 (OR: 2.38, 95% CI: 1.22-4.70), inpatient status (OR: 2.36, 95%CI: 1.11-4.91), and hematological malignancies (OR: 2.48, 95% CI: 1.23-4.96). In contrast, OR for solid tumors reveals a negative association (OR: 0.40, 95% CI: 0.20-0.81). When integrating severe outcome (ICU admission or COVID-19-related death) as a dependent variable, the univariate logistic regression model shows significant ORs for pre-existing lymphopenia (OR: 4.0, 95% CI: 1.17-15.04), hematological malignancies (OR: 3.73, 95% CI: 1.09-13.80), and a negative association for solid tumors (OR: 0.27; 95% CI: 0.07-0.92). In patients referred for SARS-CoV-2 testing, hematological malignancies were associated with a higher risk of COVID-19 infection and severe outcomes. Other factors were age and inpatient status.

Sections du résumé

BACKGROUND BACKGROUND
Immunocompromised cancer patients are presumed to be at high risk of developing COVID-19 infection. Predisposing factors to contracting COVID-19 and to severe outcomes have been described in registries but were not compared between solid tumors and hematological malignancies.
METHOD METHODS
This retrospective single oncologic center study included adults with solid tumors or hematological malignancies referred to testing by naso-pharyngeal swab for a SARS-CoV-2 RT-PCR from March 10 to May 18, 2020.
RESULTS RESULTS
A total of 212 patients were included in the study. Forty-five (21%) were tested positive with SARS-CoV-2. The univariate analysis with positive SARS-CoV-2 PCR as a dependent variable reveals significant odds ratios (ORs) for age-with a mean of 62.5 years-(OR: 1.05, 95% CI: 1.02-1.08), performance status ≥2 (OR: 2.38, 95% CI: 1.22-4.70), inpatient status (OR: 2.36, 95%CI: 1.11-4.91), and hematological malignancies (OR: 2.48, 95% CI: 1.23-4.96). In contrast, OR for solid tumors reveals a negative association (OR: 0.40, 95% CI: 0.20-0.81). When integrating severe outcome (ICU admission or COVID-19-related death) as a dependent variable, the univariate logistic regression model shows significant ORs for pre-existing lymphopenia (OR: 4.0, 95% CI: 1.17-15.04), hematological malignancies (OR: 3.73, 95% CI: 1.09-13.80), and a negative association for solid tumors (OR: 0.27; 95% CI: 0.07-0.92).
CONCLUSION CONCLUSIONS
In patients referred for SARS-CoV-2 testing, hematological malignancies were associated with a higher risk of COVID-19 infection and severe outcomes. Other factors were age and inpatient status.

Identifiants

pubmed: 33851236
doi: 10.1007/s00520-021-06175-z
pii: 10.1007/s00520-021-06175-z
pmc: PMC8043836
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

6271-6278

Informations de copyright

© 2021. The Author(s).

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Auteurs

Anouk Goudsmit (A)

Internal Medicine, Institut Jules Bordet, rue Heger 1, 1000, Brussels, Belgium. anouk.goudsmit@bordet.be.

Edouard Cubilier (E)

Internal Medicine, Institut Jules Bordet, rue Heger 1, 1000, Brussels, Belgium.

Anne-Pascale Meert (AP)

Internal Medicine, Institut Jules Bordet, rue Heger 1, 1000, Brussels, Belgium.

Philippe Aftimos (P)

Clinical Trials Conduct Unit, Institut Jules Bordet, rue Heger 1, 1000, Brussels, Belgium.

Konstantinos Stathopoulos (K)

Imaging Department, Institut Jules Bordet, rue Heger 1, 1000, Brussels, Belgium.

Chloe Spilleboudt (C)

Hematology Department, Institut Jules Bordet, rue Heger 1, 1000, Brussels, Belgium.

Angela Loizidou (A)

Internal Medicine, Institut Jules Bordet, rue Heger 1, 1000, Brussels, Belgium.

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Classifications MeSH