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Clinical characteristics of patients hospitalized with COVID-19 in Spain: results from the SEMI-COVID-19 Network.
Preprint
in English
| medRxiv
| ID: ppmedrxiv-20111971
ABSTRACT
BackgroundSpain has been one of the countries most affected by the COVID-19 pandemic. ObjectiveTo 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. MethodsA 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. ResultsUp to April 30th 2020, 6,424 patients from 109 hospitals were included. Their median age was 69.1 years (range 18-102 years) and 56.9% were male. Prevalences of hypertension, dyslipidemia, and diabetes mellitus were 50.2%, 39.7%, and 18.7%, respectively. The most frequent symptoms were fever (86.2%) and cough (76.5%). High values of ferritin (72.4%), lactate dehydrogenase (70.2%), and D-dimer (61.5%), as well as lymphopenia (52.6%), were frequent. The most used antiviral drugs were hydroxychloroquine (85.7%) and lopinavir/ritonavir (62.4%). 31.5% developed respiratory distress. Overall mortality rate was 21.1%, with a marked increase with age (50-59 years 4.2%, 60-69 years 9.1%, 70-79 years 21.4%, 80-89 years 42.5%, [≥] 90 years 51.1%). ConclusionsThe 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.
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Full text:
Available
Collection:
Preprints
Database:
medRxiv
Type of study:
Cohort_studies
/
Diagnostic study
/
Observational study
/
Prognostic study
Language:
English
Year:
2020
Document type:
Preprint