SARS-CoV-2 infection in cancer patients undergoing active treatment : analysis of clinical features and predictive factors for severe respiratory failure and death

Copyright © 2020 Elsevier Ltd. All rights reserved..

AIM: Previous studies have suggested a more frequent and severe course of novel coronavirus SARS-CoV-2 infection in cancer patients undergoing active oncologic treatment. Our aim was to describe the characteristics of the disease in this population and to determine predictive factors for poor outcome in terms of severe respiratory distress (acute respiratory distress syndrome [ARDS]) or death.

PATIENTS AND METHODS: Patients consecutively admitted for SARS-CoV-2 infection were prospectively collected, and retrospective statistical analysis was performed. Univariate and multivariate analyses were performed to assess potential factors for poor outcomes defined as ARDS or death.

RESULTS: Sixty-three patients were analysed, and 34 of them developed respiratory failure (70% as ARDS). Lymphocytes/mm3 (412 versus 686; p = 0.001), serum albumin (2.84 versus 3.1); lactate dehydrogenase (LDH) (670 versus 359; p < 0.001) and C-reactive protein (CRP) levels (25.8 versus 9.9; p < 0.001) discriminate those that developed respiratory failure. Mortality rate was 25%, significantly higher among ARDS, neutropenic patients (p = 0.01) and in those with bilateral infiltrates (44% versus 0%; p < 0.001). Multivariate logistic analyses model confirmed the predictive value of severe neutropenia (odds ratio [OR] 16.54; 95% confidence interval [CI] 1.43-190.9, p 0.025), bilateral infiltrates (OR 32.83, CI 95% 3.51-307, p 0.002) and tumour lung involvement (OR 4.34, CI 95% 1.2-14.95, p 0.02).

CONCLUSION: Cancer patients under active treatment admitted for SARS-CoV-2 infection have worse outcomes in terms of mortality and respiratory failure rates compared with COVID-19 global population. Lymphopenia, LDH, CRP and albumin discriminate illness severity, whereas neutropenia, bilateral infiltrates and tumour pulmonary involvement are predictive of higher mortality.

Errataetall:

CommentIn: Eur J Cancer. 2020 Oct;138:225-227. - PMID 32927375

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:135

Enthalten in:

European journal of cancer (Oxford, England : 1990) - 135(2020) vom: 22. Aug., Seite 242-250

Sprache:

Englisch

Beteiligte Personen:

Yarza, Ramón [VerfasserIn]
Bover, Mateo [VerfasserIn]
Paredes, Diana [VerfasserIn]
López-López, Flora [VerfasserIn]
Jara-Casas, Diego [VerfasserIn]
Castelo-Loureiro, Alicia [VerfasserIn]
Baena, Javier [VerfasserIn]
Mazarico, José María [VerfasserIn]
Folgueira, María Dolores [VerfasserIn]
Meléndez-Carmona, María Ángeles [VerfasserIn]
Reyes, Alhena [VerfasserIn]
Lumbreras, Carlos [VerfasserIn]
Paz-Ares, Luis [VerfasserIn]
Díaz-Pedroche, Carmen [VerfasserIn]
Gómez-Martín, Carlos [VerfasserIn]

Links:

Volltext

Themen:

2019 novel coronavirus infection
Adult
Antineoplastic Agents
Cáncer
COVID-19 virus disease
Comparative Study
Journal Article
Mortality
Predictive factors
Respiratory distress syndrome
Treatment

Anmerkungen:

Date Completed 28.07.2020

Date Revised 10.01.2021

published: Print-Electronic

CommentIn: Eur J Cancer. 2020 Oct;138:225-227. - PMID 32927375

Citation Status MEDLINE

doi:

10.1016/j.ejca.2020.06.001

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM311650325