A random sample of the COVICAN study. An international, multicentre cohort study of cancer patients with COVID-19 to describe the epidemiology, risk factors, and clinical outcomes of co-infections and superinfections in onco-haematological patients with COVID-19.
Usage
data(covican)Format
A data frame with 342 rows and 56 columns
- record_id:
Identifier of each record. This information does not match the real data.
- redcap_event_name:
Auto-generated name of the events
- redcap_data_access_group:
Auto-generated name of each center. This information does not match the real data.
- inc_1:
Inclusion criteria of 'Patients older than 18 years' (0 = No ; 1 = Yes)
- inc_2:
Inclusion criteria of 'Cancer patients' (0 = No ; 1 = Yes)
- inc_3:
Inclusion criteria of 'Diagnosed of COVID-19' (0 = No ; 1 = Yes)
- exc_1:
Exclusion criteria of 'Solid tumour remission >1 year' (0 = No ; 1 = Yes)
- screening_fail_crit:
Indicator of non-compliance with inclusion and exclusion criteria (0 = compliance ; 1 = non-compliance)
- d_birth:
Date of birth (y-m-d). This date does not correspond to the original.
- d_admission:
Date of first visit (y-m-d). This date does not correspond to the original.
- age:
Age in years
- dm:
Indicator of diabetes (0 = No ; 1 = Yes)
- type_dm:
Type of diabetes (1 = No complications ; 2 = End-organ diabetes-related disease)
- copd:
Indicator of chronic obstructive pulmonary disease (0 = No ; 1 = Yes)
- fio2:
Fraction of inspired oxygen in percentage
- available_analytics:
Indicator of blood test available (0 = No ; 1 = Yes)
- potassium:
Potassium in mmol/L
- resp_rate:
Respiratory rate in bpm
- leuk_lymph:
Indicator of leukemia or lymphoma (0 = No ; 1 = Yes)
- acute_leuk:
Indicator of acute leukemia (0 = No ; 1 = Yes)
- type_underlying_disease[...]:
Checkbox with the type of underlying disease (0 = Haematological cancer ; 1 = Solid tumour)
- underlying_disease_hemato[...]:
Checkbox with the type of underlying disease (1 = Acute myeloid leukemia ; 2 = Myelodysplastic syndrome ; 3 = Chronic myeloid leukaemia ; 4 = Acute lymphoblastic leukaemia ; 5 = Hodgkin lymphoma ; 6 = Non Hodgkin lymphoma ; 7 = Multiple myeloma ; 8 = Myelofibrosis ; 9 = Aplastic anaemia ; 10 = Chronic lymphocytic leukaemia ; 11 = Amyloidosis ; 12 = Other)
- urine_culture:
Indicator of urine culture: (0 = Not done ; 1 = Done)
- [...].factor:
Labels of the different variables
Note
List with three data frames: the first one with the data, the second one with the dictionary (`codebook`) of the REDCap project and the last one with the instrument-event mappings of the REDCap project.
References
Gudiol, C., Durà-Miralles, X., Aguilar-Company, J., Hernández-Jiménez, P., Martínez-Cutillas, M., Fernandez-Avilés, F., Machado, M., Vázquez, L., Martín-Dávila, P., de Castro, N., Abdala, E., Sorli, L., Andermann, T. M., Márquez-Gómez, I., Morales, H., Gabilán, F., Ayaz, C. M., Kayaaslan, B., Aguilar-Guisado, M., Herrera, F. Royo-Cebrecos C, Peghin M, González-Rico C, Goikoetxea J, Salgueira S, Silva-Pinto A, Gutiérrez-Gutiérrez B, Cuellar S, Haidar G, Maluquer C, Marin M, Pallarès N, Carratalà J. (2021). Co-infections and superinfections complicating COVID-19 in cancer patients: A multicentre, international study. The Journal of infection, 83(3), 306–313. https://doi.org/10.1016/j.jinf.2021.07.014