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      Factores asociados a la mortalidad en pacientes hospitalizados por COVID-19 en España. Datos del Registro Español de Resultados de Farmacoterapia frente a COVID-19 (RERFAR) Translated title: Factors associated with mortality in patients hospitalized for COVID-19 in Spain. Data from the RERFAR registry

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          Abstract

          Resumen Objetivo: Determinar las características basales que se asocian a una mayor mortalidad a los 42 días en aquellos pacientes hospitalizados por COVID-19 en España. Método: Cohorte prospectiva de pacientes COVID-19 hospitalizados. La variable dependiente fue la mortalidad a los 42 días. Además, se recogieron características demográficas, clínicas, comorbilidades, tratamiento habitual, intervenciones de soporte y tratamientos en las primeras 48 horas del ingreso. Para determinar la asociación con la mortalidad, se realizó un análisis multivariante mediante regresión logística. Resultados: Se incluyeron 15.628 pacientes, de ellos falleció el 18,2% (n = 2.806). El análisis multivariante mostró que las variables asociadas significativamente (p < 0,05) con la mortalidad al ingreso fueron: proceder de un centro sociosanitario (odds ratio OR 1,9), frecuencia respiratoria (odds ratio 1,5), gravedad de neumonía (CURB-65) moderada (odds ratio 1,7) o alta (odds ratio 2,9), transaminasa aspartato aminotransferasa ≥ 100 UI/l (odds ratio 2,1), lactato-deshidrogenasa ≥ 360 UI/l (odds ratio 1,6), procalcitonina > 0,5 ng/ml (odds ratio 1,8), creatina-quinasa ≥ 294 U/l (odds ratio 1,5), dímero D > 3.000 ng/ml (odds ratio 1,5), hemoglobina < 11,6 g/dl (odds ratio 1,4) y proteína C reactiva > 120 mg/l (odds ratio 1,2), necesidad de soporte respiratorio en las primeras 48 horas (odds ratio 2,0 de oxigenoterapia; odds ratio 2,8 ventilación no invasiva y odds ratio 3,5 ventilación mecánica) y tratamiento con interferón-beta (odds ratio 1,5). Por el contrario, ser menor de 80 años se asoció a una menor mortalidad. Conclusiones: El análisis del Registro Español de Resultados de Farmacoterapia frente a COVID-19 muestra que los factores asociados a peor pronóstico son: mayor edad, valoración mediante la escala CURB‑65, el nivel de requerimiento de soporte respiratorio, neumonía grave (CURB‑65), hipertransaminasemia, elevación de creatina-quinasa, lactato-deshidrogenasa, y dímero-D, anemia y elevación de la frecuencia respiratoria.

          Translated abstract

          Abstract Objective: To determine the baseline characteristics associated with higher mortality at 42 days in patients hospitalized for COVID-19 in Spain. Method: The study analyzed a prospective cohort of hospitalized COVID-19 patients. The dependent variable was 42-day mortality. Data on the subjects’ demographic and clinical characteristics, comorbidities, usual therapy and supportive interventions and treatments was collected within 48 hours from admission. To determine the potential association of the data with mortality, a multivariate analysis was performed using logistic regression. Results: 15,628 patients were included, 18.2% of whom (n = 2,806) died during the study period. According to the multivariate analysis, the variables that were significantly associated (p < 0.05) with mortality upon admission were: being referred from a nursing home (OR 1.9); having a high respiratory rate (OR 1,5); having moderate (OR 1.7) or severe (OR 2.9) pneumonia (CURB-65); aspartate aminotransferase transaminase ≥ 100 IU/l (OR 2.1); lactate dehydrogenase ≥ 360 IU/L (OR 1.6); procalcitonin > 0.5 ng/mL (OR 1.8); creatine kinase ≥ 294 U/L (OR 1.5); D-dimer > 3,000 ng/mL (OR 1.5); hemoglobin < 11.6 g/dL (OR 1.4) and C-reactive protein > 120 mg/L (OR 1.2; requiring respiratory support within the first 48 hours (oxygen therapy [OR 2.0], non-invasive ventilation [OR 2.8], and mechanical ventilation [OR 3.5]); and being treated with interferon-beta (OR 1.5). On the contrary, being under 80 years of age was associated with lower mortality. Conclusions: The analysis, based on the data in the RERFAR registry, showed that the factors associated with poorer prognosis were older age, assessed using the CURB-65 scale, level of respiratory support required, severe pneumonia (CURB-65), hypertransaminasemia, elevated creatine kinase, lactate dehydrogenase, and D-dimer levels, anemia, and elevated respiratory rate.

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          Most cited references30

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          The REDCap consortium: Building an international community of software platform partners

          The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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            Features of 20 133 UK patients in hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: prospective observational cohort study

            Abstract Objective To characterise the clinical features of patients admitted to hospital with coronavirus disease 2019 (covid-19) in the United Kingdom during the growth phase of the first wave of this outbreak who were enrolled in the International Severe Acute Respiratory and emerging Infections Consortium (ISARIC) World Health Organization (WHO) Clinical Characterisation Protocol UK (CCP-UK) study, and to explore risk factors associated with mortality in hospital. Design Prospective observational cohort study with rapid data gathering and near real time analysis. Setting 208 acute care hospitals in England, Wales, and Scotland between 6 February and 19 April 2020. A case report form developed by ISARIC and WHO was used to collect clinical data. A minimal follow-up time of two weeks (to 3 May 2020) allowed most patients to complete their hospital admission. Participants 20 133 hospital inpatients with covid-19. Main outcome measures Admission to critical care (high dependency unit or intensive care unit) and mortality in hospital. Results The median age of patients admitted to hospital with covid-19, or with a diagnosis of covid-19 made in hospital, was 73 years (interquartile range 58-82, range 0-104). More men were admitted than women (men 60%, n=12 068; women 40%, n=8065). The median duration of symptoms before admission was 4 days (interquartile range 1-8). The commonest comorbidities were chronic cardiac disease (31%, 5469/17 702), uncomplicated diabetes (21%, 3650/17 599), non-asthmatic chronic pulmonary disease (18%, 3128/17 634), and chronic kidney disease (16%, 2830/17 506); 23% (4161/18 525) had no reported major comorbidity. Overall, 41% (8199/20 133) of patients were discharged alive, 26% (5165/20 133) died, and 34% (6769/20 133) continued to receive care at the reporting date. 17% (3001/18 183) required admission to high dependency or intensive care units; of these, 28% (826/3001) were discharged alive, 32% (958/3001) died, and 41% (1217/3001) continued to receive care at the reporting date. Of those receiving mechanical ventilation, 17% (276/1658) were discharged alive, 37% (618/1658) died, and 46% (764/1658) remained in hospital. Increasing age, male sex, and comorbidities including chronic cardiac disease, non-asthmatic chronic pulmonary disease, chronic kidney disease, liver disease and obesity were associated with higher mortality in hospital. Conclusions ISARIC WHO CCP-UK is a large prospective cohort study of patients in hospital with covid-19. The study continues to enrol at the time of this report. In study participants, mortality was high, independent risk factors were increasing age, male sex, and chronic comorbidity, including obesity. This study has shown the importance of pandemic preparedness and the need to maintain readiness to launch research studies in response to outbreaks. Study registration ISRCTN66726260.
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              Mild or Moderate Covid-19

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                Author and article information

                Journal
                fh
                Farmacia Hospitalaria
                Farm Hosp.
                Grupo Aula Médica (Toledo, Toledo, Spain )
                1130-6343
                2171-8695
                April 2022
                : 46
                : 2
                : 57-71
                Affiliations
                [6] Cádiz orgnameHospital Universitario Puerto Real orgdiv1Servicio de Farmacia España
                [7] Sevilla Andalucía orgnameUniversidad de Sevilla orgdiv1Departamento de Medicina Preventiva y Salud Pública Spain
                [1] Granada orgnameEscuela Andaluza de Salud Pública orgdiv1Centro Andaluz de Información de Medicamentos España
                [4] Madrid orgnameHospital Universitario Ramón y Cajal orgdiv1Servicio de Farmacia España
                [3] orgnameCIBER en Epidemiología y Salud Pública España
                [2] Granada orgnameInstituto de Investigación Biosanitaria España
                [5] Sevilla orgnameHospitales Universitarios Virgen del Rocío orgdiv1Servicio de Farmacia Spain
                Article
                S1130-63432022000200004 S1130-6343(22)04600200004
                10.7399/fh.11714
                486fd651-b988-4253-83b8-dac29200e8aa

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

                History
                : 13 October 2021
                : 21 April 2021
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 30, Pages: 15
                Product

                SciELO Spain

                Categories
                Originales

                2019-nCoV,SARS-CoV-2,Coronavirus,COVID-19,Mortality,Mortalidad,España,Spain

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