Outcomes of Patients with COVID-19 from a Specialized Cancer Care Emergency Room.


Journal

Cancer investigation
ISSN: 1532-4192
Titre abrégé: Cancer Invest
Pays: England
ID NLM: 8307154

Informations de publication

Date de publication:
Jan 2022
Historique:
pubmed: 29 10 2021
medline: 27 1 2022
entrez: 28 10 2021
Statut: ppublish

Résumé

Our goal was to identify discrete clinical characteristics associated with safe discharge from an emergency department/urgent care for patients with a history of cancer and concurrent COVID-19 infection during the SARS-CoV-2 pandemic and prior to widespread vaccination. We retrospectively analyzed 255 adult patients with a history of cancer who presented to Memorial Sloan Kettering Cancer Center (MSKCC) urgent care center (UCC) from March 1, 2020 to May 31, 2020 with concurrent COVID-19 infection. We evaluated associations between patient characteristics and 30-day mortality from initial emergency department (ED) or urgent care center (UCC) visit and the absence of a severe event within 30 days. External validation was performed on a retrospective data from 29 patients followed at Fred Hutchinson Cancer Research Center that presented to the local emergency department. A late cohort of 108 additional patients at MSKCC from June 1, 2020 to January 31, 2021 was utilized for further validation. In the MSKCC cohort, 30-day mortality and severe event rate was 15% and 32% respectively. Using stepwise regression analysis, elevated BUN and glucose, anemia, and tachypnea were selected as the main predictors of 30-day mortality. Conversely, normal albumin, BUN, calcium, and glucose, neutrophil-lymphocyte ratio <3, lack of (severe) hypoxia, lack of bradycardia or tachypnea, and negative imaging were selected as the main predictors of an uneventful course as defined as a Lack Of a Severe Event within Thirty Days (LOSETD). Utilizing this information, we devised a tool to predict 30-day mortality and LOSETD which achieved an area under the operating curve (AUC) of 79% and 74% respectively. Similar estimates of AUC were obtained in an external validation cohort. A late cohort at MSKCC was consistent with the prior, albeit with a lower AUC. We identified easily obtainable variables that predict 30-day mortality and the absence of a severe event for patients with a history of cancer and concurrent COVID-19. This has been translated into a bedside tool that the clinician may utilize to assist disposition of this group of patients from the emergency department or urgent care setting.

Identifiants

pubmed: 34709102
doi: 10.1080/07357907.2021.1985134
pmc: PMC9480619
mid: NIHMS1830160
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

17-25

Subventions

Organisme : NCI NIH HHS
ID : P30 CA008748
Pays : United States

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Auteurs

Sandy Simcha Nath (SS)

Urgent Care Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Medicine, Weill Cornell Medical College, New York, NY, USA.

Nandini Umesh Yadav (NU)

Urgent Care Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Medicine, Weill Cornell Medical College, New York, NY, USA.

Andriy Derkach (A)

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Rocio Perez-Johnston (R)

Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Radiology, Weill Cornell Medical College, New York, NY, USA.

Lisa Tachiki (L)

Division of Medical Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Kelsey Maguire (K)

Department of Nursing, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Afia Babar (A)

Urgent Care Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Medicine, Weill Cornell Medical College, New York, NY, USA.

Molly A Maloy (MA)

Division of Health Informatics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Adam Klotz (A)

Urgent Care Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Medicine, Weill Cornell Medical College, New York, NY, USA.

Justin Jee (J)

Urgent Care Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Ying Taur (Y)

Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
Department of Infectious Disease, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Sanjay Chawla (S)

Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Esther Babady (E)

Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Ali Raza Khaki (AR)

Division of Medical Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.

Margaret M Madeleine (MM)

Department of Epidemiology, University of Washington, Seattle, WA, USA.
Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Petros Grivas (P)

Division of Medical Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Daniel J Henning (DJ)

Department of Emergency Medicine, University of Washington School of Medicine, Seattle, WA, USA.

H Laura Aaltonen (HL)

Department of Radiology, University of Washington School of Medicine, Seattle, WA, USA.

Gary H Lyman (GH)

Division of Medical Oncology, Department of Medicine, University of Washington School of Medicine, Seattle, WA, USA.
Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Jeffrey Groeger (J)

Urgent Care Service, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Department of Medicine, Weill Cornell Medical College, New York, NY, USA.

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