Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2021 Jan-Feb;45(1):14-26.
doi: 10.1016/j.medin.2020.09.002. Epub 2020 Sep 29.

Comparison of the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals based on whether they were or were not admitted to an intensive care unit

[Article in English, Spanish]
Affiliations
Comparative Study

Comparison of the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals based on whether they were or were not admitted to an intensive care unit

[Article in English, Spanish]
Ò Miró et al. Med Intensiva (Engl Ed). 2021 Jan-Feb.

Abstract

Objective: To describe and compare the demographic characteristics and comorbidities of patients with COVID-19 who died in Spanish hospitals during the 2020 pandemic based on whether they were or were not admitted to an intensive care unit (ICU) prior to death.

Methods: We performed a secondary analysis of COVID-19 patients who died during hospitalization included by 62 Spanish emergency departments in the SIESTA cohort. We collected the demographic characteristics and comorbidities, determined both individually and estimated globally by the Charlson index (ChI). Independent factors related to ICU admission were identified and different analyses of sensitivity were performed to contrast the consistency of the findings of the principal analysis.

Results: We included the 338 patients from the SIESTA cohort that died during hospitalization. Of these, 77 (22.8%) were admitted to an ICU before dying. After multivariate adjustment, 3 out of the 20 basal characteristics analyzed in the present study were independently associated with ICU admission: dementia (no patients with dementia who died were admitted to the ICU: OR = 0, 95%CI = not calculable), active cancer (OR = 0.07; 95%CI = 0.02-0.21) and age (< 70 years: OR = 1, reference; 70-74 years: OR = 0.21; 95%CI = 0.08-0.54; 75-79 years: OR = 0.21; 95%CI = 0.08-0.54; ≥ 80 years: OR = 0.02; 95%CI = 0.01-0.05). The probability of ICU admission significantly increased in parallel to the ChI, even after adjustment for age (ChI 0 points: OR = 0, reference; ChI 1 point: OR = 0.36; 95%CI = 0.16-0.83; ChI 2 points: OR = 0.36; 95%CI = 0.16-0.83; ChI >2 points: OR = 0.09; 95%CI = 0.04-0.23). The sensitivity analyses showed no gross differences compared to the principal analysis.

Conclusions: The profile of COVID-19 patients who died without ICU admission is similar to that observed in the usual medical practice before the pandemic. The basal characteristics limiting their admission were age and global burden due to comorbidity, especially dementia and active cancer.

Objetivo: Describir las características demográficas y de comorbilidad de los pacientes con COVID-19 fallecidos en hospitales españoles durante el brote pandémico de 2020 y compararlas según si ingresaron o no en una Unidad de Cuidados Intensivos (UCI) antes del fallecimiento.

Métodos: Análisis secundario de los pacientes de la cohorte SIESTA (formada por pacientes COVID de 62 hospitales españoles) fallecidos durante la hospitalización. Se recogieron sus características demográficas y comorbilidades, individuales y globalmente, estimadas mediante el índice de comorbilidad de Charlson (ICC). Se identificaron los factores independientes relacionados con ingreso en UCI, y se realizaron diversos análisis de sensibilidad para contrastar la consistencia de los hallazgos del análisis principal.

Resultados: Se incluyeron los 338 pacientes de la cohorte SIESTA fallecidos; de ellos, 77 (22,8%) accedieron a una UCI previamente al fallecimiento. En el análisis multivariable, tres de las 20 características basales analizadas se asociaron independientemente con ingreso en UCI de los pacientes fallecidos: demencia (no hubo pacientes fallecidos con demencia que ingresasen en UCI; OR = 0, IC 95% = no calculable), cáncer activo (OR = 0,07, IC 95% = 0,02-0,21) y edad (<70 años: OR = 1, referencia; 70-74 años: OR = 0,21, IC 95% = 0,08-0,54; 75-79 años: OR = 0,21, IC 95% = 0,08-0,54; ≥ 80 años: OR = 0,02, IC 95% = 0,01-0,05). La probabilidad de ingreso en UCI de los pacientes que fallecieron disminuyó significativamente al aumentar el ICC, incluso tras ajustarla por edad (ICC 0 puntos: OR = 1, referencia; ICC 1 punto: OR = 0,36, IC 95% = 0,16-0,83; ICC 2 puntos: OR = 0,36, IC 95% = 0,16-0,83; ICC > 2 puntos: OR = 0,09, IC 95% = 0,04-0,23). Los análisis de sensibilidad no mostraron diferencias destacables respecto al análisis principal.

Conclusiones: El perfil de los pacientes COVID fallecidos sin ingresar en UCI se ajustó a lo observado en la práctica médica habitual antes de la pandemia, y las características basales que limitaron su ingreso fueron la edad y la carga de comorbilidad global, especialmente la demencia y el cáncer activo.

Keywords: COVID-19; Características clínicas; Clinical characteristics; Comorbidities; Comorbilidades; Emergency departments; SARS-CoV-2; Servicios de urgencias.

PubMed Disclaimer

Figures

Figure 1
Figure 1
Distribution of patient age, Charlson comorbidity index and the time elapsed from admission to death of the patients according to whether they were previously admitted to the ICU or not. ICU: Intensive Care Unit.
Figure 2
Figure 2
Estimation of the effect of the different basal characteristics of the deceased patients with COVID-19 included in the multivariate model upon the probability of admission to the ICU before death. *No patients with dementia were admitted to the ICU; the confidence interval therefore cannot be calculated. Ref.: reference; CI: confidence interval; ICU: Intensive Care Unit. The variables in boldface showed statistically significant differences (p < 0.05).
Figure 3
Figure 3
Estimation of the age-adjusted effect of comorbidity burden assessed by the Charlson index upon the probability of admission of the patients with COVID-19 to the ICU before death. ICU: Intensive Care Unit.
Figure 4
Figure 4
Segmented analysis according to care burden in the emergency department during the pandemic of the age-adjusted effect of comorbidity burden (Charlson index) upon the probability of admission of the patients with COVID-19 to the ICU before death (interaction p-value: 0.33). ICU: Intensive Care Unit; HED: Hospital Emergency Department.

Similar articles

Cited by

References

    1. Llor C., Moragas A. Coronavirus y atención primaria. Aten. Primaria. 2020;52:294–296. - PMC - PubMed
    1. Martín-Sánchez F.J., González del Castillo J., Valls Carbó A., López Picado A., Martínez-Valero C., Miranda J.D., et al. Categorías diagnósticas y resultados a corto plazo en los pacientes con sospecha de COVID-19 atendidos en un servicio de urgencias. Emergencias. 2020;32:242–252. - PubMed
    1. Rodríguez A., Moreno G., Gómez J., Carbonell R., Picó-Plana E., Benavent Bofill C., et al. Infección grave por coronavirus SARS-CoV-2: experiencia en un hospital de tercer nivel con pacientes afectados por COVID-19 durante la pandemia 2020. Med Intensiva. 2020 doi: 10.1016/j.medin.2020.05.018. in press. - DOI - PMC - PubMed
    1. González del Castillo J., Cánora Lebrato J., Zapatero Gaviria A., Barba Martín R., Prados Roa F., Marco Martínez J. Epidemia por COVID-19 en Madrid: crónica de un reto. Emergencias. 2020;32:191–193. - PubMed
    1. Hernández-Tejedor A., Munayco Sánchez A.J., Suárez Barrientos A., Pujol Varela I. El reto de una unidad de cuidados intensivos en un recinto ferial. Med Intensiva. 2020 doi: 10.1016/j.medin.2020.04.008. in press. - DOI - PMC - PubMed

Publication types

MeSH terms