covican {REDCapDM}

Subset of the COVICAN's database

Description

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-hematological 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 containing three dataframes: the first one with the data, the second one with the dictionary ('codebook') of the REDCap project and the final 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