DIVINE-datasets

DIVINE-datasets

Description

The DIVINE-datasets collection comprises 14 curated datasets derived from the DIVINE COVID-19 cohort study. These datasets are designed to facilitate rapid access to clean, structured clinical data for research and reproducibility purposes.

All datasets are provided in CSV format and are openly accessible.

Dataset Contents

1. Laboratory measurements at admission (analytics.csv)
2. Pre-existing conditions, functional status, and comorbidity indices at admission (comorbidities.csv)
3. Clinical complications during hospitalization (complications.csv)
4. Medications prior to hospital admission (concomitant_medication.csv)
5. Baseline demographics and lifestyle factors (demographic.csv)
6. Outcomes and end-of-follow-up metrics (end_followup.csv)
7. ICU admissions and interventions (icu.csv)
8. In-hospital antibiotic treatments (inhosp_antibiotics.csv)
9. In-hospital antiviral treatments (inhosp_antivirals.csv)
10. Other in-hospital treatments and supportive therapies (inhosp_other_treatments.csv)
11. Severity scores at admission (scores.csv)
12. COVID-19–related symptoms at admission (symptoms.csv)
13. Vital signs, oxygen support, and chest X-ray findings (vital_signs.csv)
14. COVID-19 vaccination records (vaccine.csv)

Context

These datasets originate from a multicenter cohort study analyzing patients hospitalized with COVID-19 across multiple waves of the pandemic in a metropolitan area. The data enable research on clinical characteristics, treatments, and outcomes, including analyses stratified by care limitations.

File Format

• Format: CSV
• Structure: Tabular, one dataset per file
• Encoding: UTF-8

Usage Notes

• Each dataset is structured for immediate analytical use.
• Variables are harmonized across datasets where applicable.
• Users are encouraged to consult the associated publication for methodological details and variable definitions.

Citation

If you use these data, please cite:

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 inquiries:
napallares@recerca.clinic.cat

Keywords

COVID-19, clinical data, cohort study, hospitalization, ICU, comorbidities, outcomes, epidemiology