samplePatients: Sample Patient Characteristics Inputs

In aminadibi/accept: The Acute COPD Exacerbation Prediction Tool (ACCEPT)

Sample Patient Characteristics Inputs

Description

A dataset containing sample patient characteristics to run the prediction model variables are as follows:

Format

A data frame with 2 rows and 19 variables

Details

• ID. A unique character string identifying a patients

• male. whether the patient is male

• age. the age of the patient (40–90)

• smoker. whether the patient is currently a smoker

• oxygen. whether the patient has had supplemental oxygen therapy within the past year (0,1)

• FEV1. forced expiratory volume in 1 second in percent predicted

• BMI. body mass index (10–60)

• SGRQ. St. George’s Respiratory Questionnaire score (0–100)

• statin. whether the patient is taking statins due to cardiovascular conditions

• LAMA. whether the patient is on long acting muscarinic antagonist

• LABA. whether the patient is on long acting beta agonist

• ICS. whether the patient is on inhaled corticosteroids

• LastYrExacCount. total number of exacerbations in the previous year

• LastYrSevExacCount. number of severe exacerbations in the previous year

aminadibi/accept documentation built on July 4, 2023, 10:15 p.m.