Information about comorbidities of patients included in the DIVINE cohort. Data was collected at hospital admission.
data(comorbidities)A data frame with 5813 rows and 37 columns
Identifier of each record. This information does not match the real data.
A factor with levels Wave 1, Wave 2, Wave 3, and Wave 5. COVID-19 wave.
A factor with levels Hospital A, Hospital B, Hospital C, Hospital D, and Hospital E. Center of admission
A factor with levels Lives with a spouse of similar age, Lives with a spouse with some degree of dependency, Lives with a non-family caregiver, Lives with family. The caregiver is not their spouse, Lives with family without physical dependency, Lives alone and has no children or they are far away, Lives alone and has nearby children. Sociofunctional status
A factor with levels No, PCC and MACA. Is the patient a chronic complex patient (PCC) or a patient with advanced chronic disease (MACA)?
Punctuation in the Barthel scale used to measure performance in activities of daily living
Weight (kg)
Height (cm)
Body mass index computed as \(\frac{\mbox{weight (kg)}}{\mbox{height (m)}^2}\)
A factor with levels No and Yes. Diabetes mellitus Type 2
A factor with levels With target organ involvement and Without complications. For patients with diabetes mellitus type 2, type of disease
A factor with levels No and Yes. Chronic lung disease (including COPD, asthma and obstructive sleep apnea, among others)
A factor with levels No and Yes. Severe chronic kidney disease
A factor with levels No and Yes. Mild kidney disease
A factor with levels No and Yes. Is the patient currently receiving renal replacement therapy?
A factor with levels No and Yes. Heart failure
A factor with levels No and Yes. Coronary heart disease
A factor with levels No and Yes. Has the patient ever had a heart attack?
A factor with levels No and Yes. Haematological neoplasia
A factor with levels Leukemia, Lymphoma and Myeloma. For patients with Haematological neoplasia, type of disease.
A factor with levels No and Yes. Non-Metastatic Neoplasia
A factor with levels No and Yes. Metastatic Neoplasia
A factor with levels No and Yes. Has the patient ever had a stroke or a transient ischemic attack?
A factor with levels No and Yes. Peripheral artery disease
A factor with levels No and Yes. Dementia
A factor with levels No and Yes. Mild liver disease
A factor with levels No and Yes. Severe liver disease
A factor with levels No and Yes. Connective tissue disease
A factor with levels No and Yes. Peptic ulcer
A factor with levels No and Yes. Hemiplegia
A factor with levels No and Yes. Human immunodeficiency virus
Value of the Charlson Comorbidity Index. This index predicts the ten-year mortality for a patient given the information of their comorbid conditions
A factor with levels No and Yes. Hypertension
A factor with levels No and Yes. Dyslipidemia
A factor with levels No and Yes. Depression
A factor with levels Oxygen mask (non-rebreather oxygen mask), HFNC or NIMV (high-flow nasal cannula or non-invasive mechanical ventilation) and IMV and ICU admission (invasive mechanical ventilation and acces to intensive care unit). Therapeutic ceiling of care assigned to the patient
A factor with the dichotomization of the variable ceiling in two levels No (IMV and ICU admission) and Yes (Oxygen mask and HFNC or NIMV)
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