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Risk factors of SARS-CoV-2 infection and complications from COVID-19 in lung cancer patients.
Ganti, Apar Kishor; Fillmore, Nathanael R; Bihn, John; La, Jennifer; Brophy, Mary T; Do, Nhan V; Kelley, Michael.
Affiliation
  • Ganti AK; VA Nebraska Western Iowa Health Care System and University of Nebraska Medical Center, 986840 Nebraska Medical Center, Omaha, NE, 68198-6840, USA. aganti@unmc.edu.
  • Fillmore NR; Boston Cooperative Studies Program Coordinating Center, VA Boston Healthcare System, Boston, MA, USA.
  • Bihn J; Harvard Medical School, Boston, MA, USA.
  • La J; Dana-Farber Cancer Institute, Boston, MA, USA.
  • Brophy MT; Boston Cooperative Studies Program Coordinating Center, VA Boston Healthcare System, Boston, MA, USA.
  • Do NV; Boston Cooperative Studies Program Coordinating Center, VA Boston Healthcare System, Boston, MA, USA.
  • Kelley M; Harvard Medical School, Boston, MA, USA.
Int J Clin Oncol ; 28(4): 531-542, 2023 Apr.
Article in En | MEDLINE | ID: mdl-36859565
ABSTRACT

BACKGROUND:

Identifying lung cancer patients at an increased risk of getting SARS-CoV-2-related complications will facilitate tailored therapy to maximize the benefit of anti-cancer therapy, while decreasing the likelihood of COVID-19 complications. This analysis aimed to identify the characteristics of lung cancer patients that predict for increased risk of death or serious SARS-CoV-2 infection. PATIENTS AND

METHODS:

This was a retrospective cohort study of patients with lung cancer diagnosed October 1, 2015, and December 1, 2020, and a diagnosis of COVID-19 between February 2, 2020, and December 1, 2020, within the Veterans Health Administration. Serious SARS-CoV-2 infection was defined as hospitalization, ICU admission, or mechanical ventilation or intubation within 2 weeks of COVID-19 diagnosis. For categorical variables, differences were assessed using Χ2 tests, while Kruskal-Wallis rank-sum test was used for continuous variables. Multivariable logistic regression models were fit relative to onset of serious SARS-CoV-2 infection and death from SARS-CoV-2 infection.

RESULTS:

COVID-19 infection was diagnosed in 352 lung cancer patients. Of these, 61 patients (17.3%) died within four weeks of diagnosis with COVID-19, and 42 others (11.9%) experienced a severe infection. Patients who had fatal or severe infection were older and had lower hemoglobin levels than those with mild or moderate infection. Factors associated with death from SARS-CoV-2 infection included increasing age, immune checkpoint inhibitor therapy and low hemoglobin level.

CONCLUSIONS:

 The mortality of lung cancer patients from COVID-19 disease in the present cohort was less than previously reported in the literature. The identification of risk factors associated with severe or fatal outcomes informs management of patients with lung cancer who develop COVID-19 disease.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Lung Neoplasms Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Int J Clin Oncol Journal subject: NEOPLASIAS Year: 2023 Type: Article Affiliation country: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: COVID-19 / Lung Neoplasms Type of study: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Int J Clin Oncol Journal subject: NEOPLASIAS Year: 2023 Type: Article Affiliation country: United States