samplePatients: Sample Patient Characteristics Inputs

In 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 (0,1)

• age. the age of the patient (40–90)

• smoker. whether the patient is currently a smoker (0,1)

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

• FEV1. forced expiratory volume in 1 second in L (0–5)

• 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 (0,1)

• LAMA. whether the patient is on long acting muscarinic antagonist (0,1)

• LABA. whether the patient is on long acting beta agonist (0,1)

• ICS. whether the patient is on inhaled corticosteroids (0,1)

• randomizedLAMA. whether the patient was randomized to receivelong acting muscarinic antagonist. Should be 0 for prediction.(0,1)

• randomizedLABA. whether the patient was randomized to receive on long acting beta agonist. Should be 0 for prediction (0,1)

• randomizedICS. whether the patient was randomized to receive on inhaled corticosteroids. Should be 0 for prediction (0,1)

• randomizedAzithromycin. whether the patient was was randomized to receive long-term azithromycin therapy. Should be 0 for prediction (0,1)

accept documentation built on Feb. 16, 2023, 6:46 p.m.