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DIVINE-datasets DIVINE website


DIVINE-datasets provides 14 curated datasets and it is designed to support researchers in quickly accessing clean and structured data.

Description CSV
Laboratory measurements at admission analytics
Pre-existing conditions, functional status and comorbidity indices at admission comorbidities
Clinical complications occurring during hospitalization complications
Medications taken prior to hospital admission concomitant_medication
Patient baseline demographics and lifestyle factors demographic
Outcomes and end-of-follow-up metrics end_followup
ICU admissions and interventions during hospitalization icu
In-hospital antibiotic treatments inhosp_antibiotics
In-hospital antiviral treatments inhosp_antivirals
Other in-hospital treatments and supportive therapies inhosp_other_treatments
Severity scores at hospital admission scores
COVID-19–related symptoms recorded at admission symptoms
Vital signs measured at admission, oxygen support and basic chest x-ray findings vital_signs
COVID-19 vaccination records vaccine

Citation

If you use these data, please cite the DIVINE study and the relevant publication:

Pallarès N., Tebé C., Abelenda-Alonso G., Rombauts A., Oriol I., Simonetti A. F., Rodríguez-Molinero A., Izquierdo E., Díaz-Brito V., Molist G., Gómez Melis G., Carratalà J., Videla S., & MetroSud and DIVINE study groups (2023). Characteristics and Outcomes by Ceiling of Care of Subjects Hospitalized with COVID-19 During Four Waves of the Pandemic in a Metropolitan Area: A Multicenter Cohort Study. Infectious Diseases and Therapy, 12(1), 273–289. https://doi.org/10.1007/s40121-022-00705-w

Contact

For questions, corrections or data-use requests: npallares@igtp.cat

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Datasets from the project DIVINE

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