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Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data

BACKGROUND: Previous works seem to agree in the higher mortality of cancer patients with COVID-19. Identifying potential prognostic factors upon admission could help identify patients with a poor prognosis. METHODS: We aimed to explore the characteristics and evolution of COVID-19 cancer patients ad...

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Autores principales: Pérez-Segura, Pedro, Paz-Cabezas, M., Núñez-Gil, I.J., Arroyo-Espliguero, R., Maroun Eid, C., Romero, R., Fernández Rozas, I., Uribarri, A., Becerra-Muñoz, V.M., García Aguado, M., Huang, J., Rondano, E., Cerrato, E., Rodríguez, E. Alfonso, Ortega-Armas, M.E., Raposeiras Roubin, S., Pepe, M., Feltes, G., Gonzalez, A., Cortese, B., Buzón, L., El-Battrawy, I., Estrada, V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier España, S.L.U. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101784/
https://www.ncbi.nlm.nih.gov/pubmed/34154809
http://dx.doi.org/10.1016/j.medcli.2021.02.021
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author Pérez-Segura, Pedro
Paz-Cabezas, M.
Núñez-Gil, I.J.
Arroyo-Espliguero, R.
Maroun Eid, C.
Romero, R.
Fernández Rozas, I.
Uribarri, A.
Becerra-Muñoz, V.M.
García Aguado, M.
Huang, J.
Rondano, E.
Cerrato, E.
Rodríguez, E. Alfonso
Ortega-Armas, M.E.
Raposeiras Roubin, S.
Pepe, M.
Feltes, G.
Gonzalez, A.
Cortese, B.
Buzón, L.
El-Battrawy, I.
Estrada, V.
author_facet Pérez-Segura, Pedro
Paz-Cabezas, M.
Núñez-Gil, I.J.
Arroyo-Espliguero, R.
Maroun Eid, C.
Romero, R.
Fernández Rozas, I.
Uribarri, A.
Becerra-Muñoz, V.M.
García Aguado, M.
Huang, J.
Rondano, E.
Cerrato, E.
Rodríguez, E. Alfonso
Ortega-Armas, M.E.
Raposeiras Roubin, S.
Pepe, M.
Feltes, G.
Gonzalez, A.
Cortese, B.
Buzón, L.
El-Battrawy, I.
Estrada, V.
author_sort Pérez-Segura, Pedro
collection PubMed
description BACKGROUND: Previous works seem to agree in the higher mortality of cancer patients with COVID-19. Identifying potential prognostic factors upon admission could help identify patients with a poor prognosis. METHODS: We aimed to explore the characteristics and evolution of COVID-19 cancer patients admitted to hospital in a multicenter international registry (HOPE COVID-19). Our primary objective is to define those characteristics that allow us to identify cancer patients with a worse prognosis (mortality within 30 days after the diagnosis of COVID-19). RESULTS: 5838 patients have been collected in this registry, of whom 770 had cancer among their antecedents. In hospital mortality reached 258 patients (33.51%). The median was 75 years (65–82). Regarding the distribution by sex, 34.55% of the patients (266/770) were women. The distribution by type of cancer: genitourinary 238/745 (31.95%), digestive 124/745 (16.54%), hematologic 95/745 (12.75%). In multivariate regression analysis, factors that are independently associated with mortality at admission are: renal impairment (OR 3.45, CI 97.5% 1.85–6.58), heart disease (2.32, 1.47–3.66), liver disease (4.69, 1.94–11.62), partial dependence (2.41, 1.34–4.33), total dependence (7.21, 2.60–21.82), fatigue (1.84, 1.16–2.93), arthromialgias (0.45, 0.26–0.78), SatO2 < 92% (4.58, 2.97–7.17), elevated LDH (2.61, 1.51–4.69) and abnormal decreased Blood Pressure (3.57, 1.81–7.15). Analitical parameters are also significant altered. CONCLUSION: In patients with cancer from the HOPE registry, 30-day mortality from any cause is high and is associated with easily identifiable clinical factors upon arrival at the hospital. Identifying these patients can help initiate more intensive treatments from the start and evaluate the prognosis of these patients.
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spelling pubmed-81017842021-05-07 Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data Pérez-Segura, Pedro Paz-Cabezas, M. Núñez-Gil, I.J. Arroyo-Espliguero, R. Maroun Eid, C. Romero, R. Fernández Rozas, I. Uribarri, A. Becerra-Muñoz, V.M. García Aguado, M. Huang, J. Rondano, E. Cerrato, E. Rodríguez, E. Alfonso Ortega-Armas, M.E. Raposeiras Roubin, S. Pepe, M. Feltes, G. Gonzalez, A. Cortese, B. Buzón, L. El-Battrawy, I. Estrada, V. Med Clin (Barc) Original Article BACKGROUND: Previous works seem to agree in the higher mortality of cancer patients with COVID-19. Identifying potential prognostic factors upon admission could help identify patients with a poor prognosis. METHODS: We aimed to explore the characteristics and evolution of COVID-19 cancer patients admitted to hospital in a multicenter international registry (HOPE COVID-19). Our primary objective is to define those characteristics that allow us to identify cancer patients with a worse prognosis (mortality within 30 days after the diagnosis of COVID-19). RESULTS: 5838 patients have been collected in this registry, of whom 770 had cancer among their antecedents. In hospital mortality reached 258 patients (33.51%). The median was 75 years (65–82). Regarding the distribution by sex, 34.55% of the patients (266/770) were women. The distribution by type of cancer: genitourinary 238/745 (31.95%), digestive 124/745 (16.54%), hematologic 95/745 (12.75%). In multivariate regression analysis, factors that are independently associated with mortality at admission are: renal impairment (OR 3.45, CI 97.5% 1.85–6.58), heart disease (2.32, 1.47–3.66), liver disease (4.69, 1.94–11.62), partial dependence (2.41, 1.34–4.33), total dependence (7.21, 2.60–21.82), fatigue (1.84, 1.16–2.93), arthromialgias (0.45, 0.26–0.78), SatO2 < 92% (4.58, 2.97–7.17), elevated LDH (2.61, 1.51–4.69) and abnormal decreased Blood Pressure (3.57, 1.81–7.15). Analitical parameters are also significant altered. CONCLUSION: In patients with cancer from the HOPE registry, 30-day mortality from any cause is high and is associated with easily identifiable clinical factors upon arrival at the hospital. Identifying these patients can help initiate more intensive treatments from the start and evaluate the prognosis of these patients. Elsevier España, S.L.U. 2021-10-08 2021-05-06 /pmc/articles/PMC8101784/ /pubmed/34154809 http://dx.doi.org/10.1016/j.medcli.2021.02.021 Text en © 2021 Elsevier España, S.L.U. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
Pérez-Segura, Pedro
Paz-Cabezas, M.
Núñez-Gil, I.J.
Arroyo-Espliguero, R.
Maroun Eid, C.
Romero, R.
Fernández Rozas, I.
Uribarri, A.
Becerra-Muñoz, V.M.
García Aguado, M.
Huang, J.
Rondano, E.
Cerrato, E.
Rodríguez, E. Alfonso
Ortega-Armas, M.E.
Raposeiras Roubin, S.
Pepe, M.
Feltes, G.
Gonzalez, A.
Cortese, B.
Buzón, L.
El-Battrawy, I.
Estrada, V.
Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data
title Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data
title_full Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data
title_fullStr Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data
title_full_unstemmed Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data
title_short Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data
title_sort prognostic factors at admission on patients with cancer and covid-19: analysis of hope registry data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101784/
https://www.ncbi.nlm.nih.gov/pubmed/34154809
http://dx.doi.org/10.1016/j.medcli.2021.02.021
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