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Inicio Medicina Clínica (English Edition) Prognostic factors at admission on patients with cancer and COVID-19: Analysis o...
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Vol. 157. Issue 7.
Pages 318-324 (October 2021)
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Vol. 157. Issue 7.
Pages 318-324 (October 2021)
Original article
Prognostic factors at admission on patients with cancer and COVID-19: Analysis of HOPE registry data
Factores pronósticos en pacientes oncológicos con COVID-19 a su llegada a urgencias: Análisis de los datos del registro internacional HOPE
Pedro Pérez-Seguraa,
Corresponding author

Corresponding author.
, M. Paz-Cabezasa, I.J. Núñez-Gilb, R. Arroyo-Espligueroc, C. Maroun Eidd, R. Romeroe, I. Fernández Rozasf, A. Uribarrig, V.M. Becerra-Muñozh, M. García Aguadoi, J. Huangj, E. Rondanok, E. Cerratol, E. Alfonso Rodríguezm, M.E. Ortega-Armasn, S. Raposeiras Roubino, M. Pepep, G. Feltesq, A. Gonzalezr, B. Corteses..., L. Buzónt, I. El-Battrawyu, V. EstradabVer más
a Medical Oncology Dpt. Hospital Clinico San Carlos, Madrid, Spain
b Hospital Clinico San Carlos, Madrid, Spain
c Hospital Universitario Guadalajara, Guadalajara, Spain
d Hospital Universitario La Paz. Instituto de Investigación Hospital Universitario La Paz (IdiPAZ), Madrid, Spain
e Hospital Universitario Getafe, Madrid, Spain
f Hospital Universitario Severo Ochoa, Leganés, Spain
g Hospital Clinico Universitario de Valladolid, Valladolid, Spain
h Hospital Clinico Universitario Virgen de la Victoria, Málaga, Spain
i Hospital Puerta de Hierro de Majadahonda. Majadahonda, Madrid, Spain
j The Second Affiliated Hospital of Southern University of Science and Technology, Shenzhen, China
k Sant’Andrea Hospital, Vercelli, Italy
l San Luigi Gonzaga University Hospital, Orbassano and Rivoli Infermi Hospital, Rivoli, Turin, Italy
m Institute of Cardiology and Cardiovascular Surgery, Havana, Cuba
n Hospital General del Norte de Guayaquil IESS Los Ceibos, Guayaquil, Ecuador
o University Hospital Alvaro Cunqueiro, Vigo, Spain
p Azienda ospedaliero-universitaria consorziale policlinico di Bari, Bari, Italy
q Nuestra Señora de América, Madrid, Spain
r Hospital Universitario Infanta Sofia. San Sebastian de los Reyes, Madrid, Spain
s San Carlo Clinic, Milano, Italy
t Hospital Universitario de Burgos, Burgos, Spain
u First Department of Medicine, Medical Faculty Mannheim, University Heidelberg, Mannheim, 68167, Germany, DZHK (German Center for Cardiovascular Research), Partner Site, Heidelberg-Mannheim, Mannheim, Germany
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Figures (1)
Tables (2)
Table 1. Patient epidemiological and clinical characteristics.
Table 2. Uni and multivariable regression models of prognostic variables associated with mortality.
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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.


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).


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.


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.


Trabajos previos parecen coincidir en la mayor mortalidad de los pacientes con cáncer y COVID-19. La identificación de posibles factores pronósticos en el momento del ingreso podría ayudar a identificar a los pacientes con mal pronóstico.


Nos propusimos explorar las características y la evolución de los pacientes con cáncer y COVID-19 ingresados en un registro internacional multicéntrico (HOPE COVID-19).

Nuestro objetivo principal es definir aquellas características que nos permitan identificar a los pacientes con cáncer de peor pronóstico (mortalidad en los 30 días siguientes al diagnóstico de COVID-19).


En este registro se ha recogido a 5.838 pacientes, de los cuales 770 tenían cáncer entre sus antecedentes. La mortalidad hospitalaria alcanzó a 258 pacientes (33,51%). La mediana fue de 75 años (65-82). En cuanto a la distribución por sexo, el 34,55% de los pacientes eran mujeres (266/770).

La distribución por tipo de cáncer: genitourinario 238/745 (31,95%), digestivo 124/745 (16,54%) y hematológico 95/745 (12,75%).

En el análisis de regresión multivariante, los factores que se asocian de forma independiente con la mortalidad al ingreso son: insuficiencia renal (OR 3,45; IC 97,5%: 1,85-6,58), cardiopatía (2,32; 1,47-3,66), hepatopatía (4,69; 1,94-11,62), dependencia parcial (2,41; 1,34-4,33), dependencia total (7,21; 2,60-21,82), fatiga (1,84, 1;16-2,93), artromialgias (0,45; 0,26-0,78), SatO2 <92% (4,58; 2,97-7,17), LDH elevada (2,61; 1,51-4,69) y disminución anormal de la presión arterial (3,57; 1,81-7,15). Los parámetros analíticos también están significativamente alterados.


En los pacientes con cáncer del registro HOPE, la mortalidad a los 30 días por cualquier causa es elevada y se asocia a factores clínicos fácilmente identificables a su llegada al hospital. La identificación de estos pacientes puede ayudar a iniciar tratamientos más intensivos desde el principio y evaluar el pronóstico de estos pacientes.

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