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Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model

A novel coronavirus causing severe acute respiratory syndrome (SARS), named SARS-CoV-2, was identified at the end of 2019. The spread of coronavirus disease 2019 (COVID-19) has progressively expanded from China, involving several countries throughout the world, leading to the classification of the d...

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Autores principales: de Marinis, Filippo, Attili, Ilaria, Morganti, Stefania, Stati, Valeria, Spitaleri, Gianluca, Gianoncelli, Letizia, Del Signore, Ester, Catania, Chiara, Rampinelli, Cristiano, Omodeo Salè, Emanuela, Spaggiari, Lorenzo, Mastrilli, Fabrizio, Passaro, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188943/
https://www.ncbi.nlm.nih.gov/pubmed/32391282
http://dx.doi.org/10.3389/fonc.2020.00665
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author de Marinis, Filippo
Attili, Ilaria
Morganti, Stefania
Stati, Valeria
Spitaleri, Gianluca
Gianoncelli, Letizia
Del Signore, Ester
Catania, Chiara
Rampinelli, Cristiano
Omodeo Salè, Emanuela
Spaggiari, Lorenzo
Mastrilli, Fabrizio
Passaro, Antonio
author_facet de Marinis, Filippo
Attili, Ilaria
Morganti, Stefania
Stati, Valeria
Spitaleri, Gianluca
Gianoncelli, Letizia
Del Signore, Ester
Catania, Chiara
Rampinelli, Cristiano
Omodeo Salè, Emanuela
Spaggiari, Lorenzo
Mastrilli, Fabrizio
Passaro, Antonio
author_sort de Marinis, Filippo
collection PubMed
description A novel coronavirus causing severe acute respiratory syndrome (SARS), named SARS-CoV-2, was identified at the end of 2019. The spread of coronavirus disease 2019 (COVID-19) has progressively expanded from China, involving several countries throughout the world, leading to the classification of the disease as a pandemic by the World Health Organization (WHO). According to published reports, COVID-19 severity and mortality are higher in elderly patients and those with active comorbidities. In particular, lung cancer patients were reported to be at high risk of pulmonary complications related to SARS-CoV2 infection. Therefore, the management of cancer care during the COVID-19 pandemic is a crucial issue, to which national and international oncology organizations have replied with recommendations concerning patients receiving anticancer treatments, delaying follow-up visits and limiting caregiver admission to the hospitals. In this historical moment, medical oncologists are required to consider the possibility to delay active treatment administration based on a case-by-case risk/benefit evaluation. Potential risks associated with COVID-19 infection should be considered, considering tumor histology and natural course, disease setting, clinical conditions, and disease burden, together with the expected benefit, toxicities (e.g., myelosuppression or interstitial lung disease), and response obtained from the planned or ongoing treatment. In this study, we report the results of proactive measures including social media, telemedicine, and telephone triage for screening patients with lung cancer during the COVID-19 outbreak in the European Institute of Oncology (Milan, Italy). Proactive management and containment measures, applied in a structured and daily way, has significantly aided the identification of advance patients with suspected symptoms related to COVID-19, limiting their admission to our cancer center; we have thus been more able to protect other patients from possible contamination and at the same time guarantee to the suspected patients the immediate treatment and evaluation in referral hospitals for COVID-19.
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spelling pubmed-71889432020-05-08 Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model de Marinis, Filippo Attili, Ilaria Morganti, Stefania Stati, Valeria Spitaleri, Gianluca Gianoncelli, Letizia Del Signore, Ester Catania, Chiara Rampinelli, Cristiano Omodeo Salè, Emanuela Spaggiari, Lorenzo Mastrilli, Fabrizio Passaro, Antonio Front Oncol Oncology A novel coronavirus causing severe acute respiratory syndrome (SARS), named SARS-CoV-2, was identified at the end of 2019. The spread of coronavirus disease 2019 (COVID-19) has progressively expanded from China, involving several countries throughout the world, leading to the classification of the disease as a pandemic by the World Health Organization (WHO). According to published reports, COVID-19 severity and mortality are higher in elderly patients and those with active comorbidities. In particular, lung cancer patients were reported to be at high risk of pulmonary complications related to SARS-CoV2 infection. Therefore, the management of cancer care during the COVID-19 pandemic is a crucial issue, to which national and international oncology organizations have replied with recommendations concerning patients receiving anticancer treatments, delaying follow-up visits and limiting caregiver admission to the hospitals. In this historical moment, medical oncologists are required to consider the possibility to delay active treatment administration based on a case-by-case risk/benefit evaluation. Potential risks associated with COVID-19 infection should be considered, considering tumor histology and natural course, disease setting, clinical conditions, and disease burden, together with the expected benefit, toxicities (e.g., myelosuppression or interstitial lung disease), and response obtained from the planned or ongoing treatment. In this study, we report the results of proactive measures including social media, telemedicine, and telephone triage for screening patients with lung cancer during the COVID-19 outbreak in the European Institute of Oncology (Milan, Italy). Proactive management and containment measures, applied in a structured and daily way, has significantly aided the identification of advance patients with suspected symptoms related to COVID-19, limiting their admission to our cancer center; we have thus been more able to protect other patients from possible contamination and at the same time guarantee to the suspected patients the immediate treatment and evaluation in referral hospitals for COVID-19. Frontiers Media S.A. 2020-04-22 /pmc/articles/PMC7188943/ /pubmed/32391282 http://dx.doi.org/10.3389/fonc.2020.00665 Text en Copyright © 2020 de Marinis, Attili, Morganti, Stati, Spitaleri, Gianoncelli, Del Signore, Catania, Rampinelli, Omodeo Salè, Spaggiari, Mastrilli and Passaro. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
de Marinis, Filippo
Attili, Ilaria
Morganti, Stefania
Stati, Valeria
Spitaleri, Gianluca
Gianoncelli, Letizia
Del Signore, Ester
Catania, Chiara
Rampinelli, Cristiano
Omodeo Salè, Emanuela
Spaggiari, Lorenzo
Mastrilli, Fabrizio
Passaro, Antonio
Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model
title Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model
title_full Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model
title_fullStr Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model
title_full_unstemmed Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model
title_short Results of Multilevel Containment Measures to Better Protect Lung Cancer Patients From COVID-19: The IEO Model
title_sort results of multilevel containment measures to better protect lung cancer patients from covid-19: the ieo model
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7188943/
https://www.ncbi.nlm.nih.gov/pubmed/32391282
http://dx.doi.org/10.3389/fonc.2020.00665
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