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Clinical features and outcomes of COVID-19 infection among cancer patients in Seattle, Washington
Open Forum Infectious Diseases ; 7(SUPPL 1):S255-S256, 2020.
Article in English | EMBASE | ID: covidwho-1185736
ABSTRACT

Background:

High morbidity and mortality has been observed with COVID-19 infection;however, there are limited data on clinical characteristics including exposures, coinfections, and antimicrobial use among cancer patients. We aimed to better characterize clinical features and outcomes in this population.

Methods:

We conducted a retrospective chart review of consecutive patients at the Seattle Cancer Care Alliance diagnosed with SARS-CoV-2 infection by RT-PCR between February 28, 2020 and May 3, 2020. We obtained demographic and clinical data including coinfections, antimicrobial use and outcomes at 30 days after diagnosis.

Results:

Of 60 patients reviewed, the median age was 62 years (range 22-98) and 43% were male. 34 (57%) patients had solid tumors and 16 (27%) hematologic malignancies. Breast (12%), colorectal (8%) and non-Hodgkin lymphoma (8%) were the most prevalent cancers. 34 (57%) had ≥ 2 comorbidities. The majority of identified exposures were from long-term care facilities (LTCF) (27%) or household contacts (25%) (Fig 1). The most common symptoms at diagnosis were cough (72%), fevers/chills (57%), shortness of breath (38%), nasal congestion/rhinorrhea (35%), and diarrhea (30%). 18 (31%) patients were prescribed at least one course of antibiotics within 30 days of diagnosis;antibiotics were prescribed to 54% of hospitalized patients (Fig 2). 6 (10%) had a documented bacterial infection;of these, 3 were respiratory coinfections. No viral or fungal copathogens were reported. 26 (43%) patients were hospitalized, 9 (15%) admitted to intensive care, and one (2%) required mechanical ventilation. 12 (20%) died within 30 days of diagnosis (Fig 3);of these, 10 (83%) had ≥ 2 comorbidities and 8 (67%) had LTCF exposure.

Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Open Forum Infectious Diseases Year: 2020 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study Language: English Journal: Open Forum Infectious Diseases Year: 2020 Document Type: Article