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accept (version 1.0.0)

samplePatients: Sample Patient Characteristics Inputs

Description

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

Arguments

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)