ABSTRACT
Background: COVID-19 shows different clinical and pathophysiological stages over time. Theeffect of days elapsed from the onset of symptoms (DEOS) to hospitalization on COVID-19prognostic factors remains uncertain. We analyzed the impact on mortality of DEOS to hospital-ization and how other independent prognostic factors perform when taking this time elapsedinto account. Methods: This retrospective, nationwide cohort study, included patients with confirmed COVID-19 from February 20th and May 6th, 2020. The data was collected in a standardized online datacapture registry. Univariate and multivariate COX-regression were performed in the generalcohort and the final multivariate model was subjected to a sensitivity analysis in an earlypresenting (EP; < 5 DEOS) and late presenting (LP; ≥5 DEOS) group. Results: 7915 COVID-19 patients were included in the analysis, 2324 in the EP and 5591 in theLP group. DEOS to hospitalization was an independent prognostic factor of in-hospital mortalityin the multivariate Cox regression model along with other 9 variables. Each DEOS incrementaccounted for a 4.3% mortality risk reduction (HR 0.957; 95% CI 0.93---0.98). Regarding variationsin other mortality predictors in the sensitivity analysis, the Charlson Comorbidity Index onlyremained significant in the EP group while D-dimer only remained significant in the LP group. Conclusion: When caring for COVID-19 patients, DEOS to hospitalization should be consideredas their need for early hospitalization confers a higher risk of mortality. Different prognosticfactors vary over time and should be studied within a fixed timeframe of the disease.
ABSTRACT
Antecedentes La COVID-19 muestra diferentes fases clínicas y fisiopatológicas a lo largo del tiempo. El efecto de los días transcurridos desde el comienzo de los síntomas (DTCS) hasta la hospitalización sobre los factores pronósticos de la COVID-19 sigue siendo incierto. Analizamos el impacto en la mortalidad de los DTCS hasta la hospitalización y cómo se comportan otros factores pronósticos independientes al tener en cuenta dicho tiempo transcurrido. Métodos En este estudio de cohortes nacional retrospectivo se incluyó a pacientes con COVID-19 confirmada entre el 20 de febrero y el 6 de mayo de 2020. Los datos se recopilaron en un registro normalizado de captura de datos en línea. Se realizó una regresión de Cox uni y multifactorial en la cohorte general y el modelo multifactorial final se sometió a un análisis de sensibilidad en un grupo de presentación precoz (PP) < 5 DTCS y otro de presentación tardía (PT) ≥ 5 DTCS). Resultados En el análisis se incluyó a 7.915 pacientes con COVID-19, 2.324 en el grupo de PP y 5.591 en el de PT. Los DTCS hasta la hospitalización fueron un factor pronóstico independiente de mortalidad intrahospitalaria en el modelo de regresión de Cox multifactorial junto con otras nueve variables. Cada incremento en un DTCS supuso una reducción del riesgo de mortalidad del 4,3% (RRI = 0,957;IC 95%, 0,93-0,98). En cuanto a las variaciones de otros factores predictivos de la mortalidad en el análisis de sensibilidad, únicamente el índice de comorbilidad de Charlson siguió siendo significativo en el grupo de PP, mientras que únicamente el dímero D lo siguió siendo en el grupo de PT. Conclusiones Al atender a pacientes con COVID-19 hay que tener en cuenta los DTCS hasta la hospitalización porque la necesidad de hospitalización precoz confiere un mayor riesgo de mortalidad. Los diferentes factores pronósticos varían con el tiempo y deberían estudiarse dentro de un marco temporal fijo de la enfermedad.
ABSTRACT
BACKGROUND: COVID-19 shows different clinical and pathophysiological stages over time. The effect of days elapsed from the onset of symptoms (DEOS) to hospitalization on COVID-19 prognostic factors remains uncertain. We analyzed the impact on mortality of DEOS to hospitalization and how other independent prognostic factors perform when taking this time elapsed into account. METHODS: This retrospective, nationwide cohort study, included patients with confirmed COVID-19 from February 20th and May 6th, 2020. The data was collected in a standardized online data capture registry. Univariate and multivariate COX-regression were performed in the general cohort and the final multivariate model was subjected to a sensitivity analysis in an early presenting (EP; <5 DEOS) and late presenting (LP; ≥5 DEOS) group. RESULTS: 7915 COVID-19 patients were included in the analysis, 2324 in the EP and 5591 in the LP group. DEOS to hospitalization was an independent prognostic factor of in-hospital mortality in the multivariate Cox regression model along with other 9 variables. Each DEOS increment accounted for a 4.3% mortality risk reduction (HR 0.957; 95% CI 0.93-0.98). Regarding variations in other mortality predictors in the sensitivity analysis, the Charlson Comorbidity Index only remained significant in the EP group while D-dimer only remained significant in the LP group. CONCLUSION: When caring for COVID-19 patients, DEOS to hospitalization should be considered as their need for early hospitalization confers a higher risk of mortality. Different prognostic factors vary over time and should be studied within a fixed timeframe of the disease.
Subject(s)
COVID-19 , Humans , Cohort Studies , Retrospective Studies , Hospital Mortality , SARS-CoV-2 , Comorbidity , Hospitalization , Risk FactorsABSTRACT
The pandemic caused by SARS-CoV-2 was declared a Public Health Emergency of International Concern by the Director General of the World Health Organization (WHO) in March, 2020. This created a health emergency with impact upon all aspects of management, training, and care in hospitals. The pandemic represented a challenge for the training of healthcare professionals, who were forced to acquire knowledge fast and effectively in order to plan, act, and make decisions about the diagnosis and treatment of patients infected by SARS-CoV-2. Traditional training was adapted to the pandemic setting, taking into account the compulsory safety distance and the demand for short-duration effective training, with contents changing within a short time. In this context, the Hospital Universitario Puerta de Hierro-Majadahonda (Madrid, Spain) implemented a strategy for digital training based on the creation and publication of educational pills through a mobile application developed by the Continuation Training Unit (Formación SanidadMadrid App). During the pandemic, 24 educational pills were created, produced and published through the app, in three forms: short-duration video, access to websites with updated information, and brief documents on procedures. The design of the educational pills was based on these teaching-learning methods: mobile learning and microlearning, considered useful and effective tools to give an answer to training needs in a university hospital when faced with a health emergency, given their wide acceptance by healthcare professionals. © 2021 DAE Editorial, Grupo Paradigma. All rights reserved.
ABSTRACT
Background Spain has been one of the countries most affected by the COVID-19 pandemic. Objective To create a registry of patients with COVID-19 hospitalized in Spain, in order to improve our knowledge of the clinical, diagnostic, therapeutic, and prognostic aspects of this disease. Design A multicentre retrospective cohort study, including consecutive patients hospitalized with confirmed COVID-19 throughout Spain. Epidemiological and clinical data, additional tests at admission and at seven days, treatments administered, and progress at 30 days of hospitalization were collected from electronic medical records. Results Up to June 30th 2020, 15,111 patients from 150 hospitals were included. Their median age was 69.4 years (range: 18-102 years) and 57.2% were male. Prevalences of hypertension, dyslipidemia, and diabetes mellitus were 50.9%, 39.7%, and 19.4%, respectively. The most frequent symptoms were fever (84.2%) and cough (73.5%). High values of ferritin (73.5%), lactate dehydrogenase (73.9%), and D-dimer (63.8%), as well as lymphopenia (52.8%), were frequent. The most used antiviral drugs were hydroxychloroquine (85.6%) and lopinavir/ritonavir (61.4%). 33.1% developed respiratory distress. Overall mortality rate was 21.0%, with a marked increase with age (50-59 years: 4.7%, 60-69 years: 10.5%, 70-79 years: 26.9%, ≥80 years: 46.0%). Conclusion The SEMI-COVID-19 Network provides data on the clinical characteristics of patients with COVID-19 hospitalized in Spain. Patients with COVID-19 hospitalized in Spain are mostly severe cases, as one in three patients developed respiratory distress and one in five patients died. These findings confirm a close relationship between advanced age and mortality. Resumen Antecedentes España ha sido uno de los países más afectados por la pandemia de COVID-19. Objetivo Crear un registro de pacientes hospitalizados en España por COVID-19 para mejorar nuestro conocimiento sobre los aspectos clínicos, diagnósticos, terapéuticos y pronósticos de esta enfermedad. Métodos Estudio de cohorte retrospectiva, multicéntrico, que incluye pacientes consecutivos hospitalizados con COVID-19 confirmada en toda España. Se obtuvieron los datos epidemiológicos y clínicos, las pruebas complementarias al ingreso y a los siete días de la admisión, los tratamientos administrados y la evolución a los 30 días de hospitalización de las historias clínicas electrónicas. Resultados Hasta el 30 de junio de 2020 se incluyeron 15.111 pacientes de 150 hospitales. Su mediana de edad fue 69,4 años (rango: 18-102 años) y el 57,2% eran hombres. Las prevalencias de hipertensión, dislipemia y diabetes mellitus fueron 50,9%, 39,7% y 19,4%, respectivamente. Los síntomas más frecuentes fueron fiebre (84,2%) y tos (73,5%). Fueron frecuentes los valores elevados de ferritina (73,5%), lactato deshidrogenasa (73,9%) y dímero D (63,8%), así como la linfopenia (52,8%). Los fármacos antivirales más utilizados fueron la hidroxicloroquina (85,6%) y el lopinavir/ritonavir (61,4%). El 33,1% desarrolló distrés respiratorio. La tasa de mortalidad global fue del 21,0%, con un marcado incremento con la edad (50-59 años: 4,7%, 60-69 años: 10,5%, 70-79 años: 26,9%, ≥80 años: 46%). Conclusiones El Registro SEMI-COVID-19 proporciona información sobre las características clínicas de los pacientes con COVID-19 hospitalizados en España. Los pacientes con COVID-19 hospitalizados en España son en su mayoría casos graves, ya que uno de cada tres pacientes desarrolló distrés respiratorio y uno de cada cinco pacientes falleció. Nuestros datos confirman una estrecha relación entre la edad avanzada y la mortalidad.
ABSTRACT
BACKGROUND: Spain has been one of the countries most affected by the COVID-19 pandemic. OBJECTIVE: To create a registry of patients with COVID-19 hospitalized in Spain, in order to improve our knowledge of the clinical, diagnostic, therapeutic, and prognostic aspects of this disease. METHODS: A multicentre retrospective cohort study, including consecutive patients hospitalized with confirmed COVID-19 throughout Spain. Epidemiological and clinical data, additional tests at admission and at seven days, treatments administered, and progress at 30 days of hospitalization were collected from electronic medical records. RESULTS: Up to June 30th 2020, 15,111 patients from 150 hospitals were included. Their median age was 69.4 years (range: 18-102 years) and 57.2% were male. Prevalences of hypertension, dyslipidemia, and diabetes mellitus were 50.9%, 39.7%, and 19.4%, respectively. The most frequent symptoms were fever (84.2%) and cough (73.5%). High values of ferritin (73.5%), lactate dehydrogenase (73.9%), and D-dimer (63.8%), as well as lymphopenia (52.8%), were frequent. The most used antiviral drugs were hydroxychloroquine (85.6%) and lopinavir/ritonavir (61.4%); 33.1% developed respiratory distress. Overall mortality rate was 21.0%, with a marked increase with age (50-59 years: 4.7%, 60-69 years: 10.5%, 70-79 years: 26.9%, ≥80 years: 46.0%). CONCLUSIONS: The SEMI-COVID-19 Network provides data on the clinical characteristics of patients with COVID-19 hospitalized in Spain. Patients with COVID-19 hospitalized in Spain are mostly severe cases, as one in three patients developed respiratory distress and one in five patients died. These findings confirm a close relationship between advanced age and mortality.