Weekly Mean PAP Therapy Usage of OSA Patients in the First 3 Months

Source: R/data.R

A simulated longitudinal dataset comprising 301 patients with obstructive sleep apnea (OSA) during their first 91 days (13 weeks) of PAP therapy. The longitudinal patterns were inspired by the adherence patterns reported by Yi et al. (2022), interpolated to weekly hours of usage.

PAP.adh

Format

A data.frame comprising longitudinal data of 500 patients, each having 26 observations over a period of 1 year. Each row represents a patient observation interval (two weeks), with columns:

Patient

integer: The patient identifier, where each level represents a simulated patient.

Week

integer: The week number, starting from 1.

UsageHours

numeric: The mean hours of usage in the respective week. Greater than or equal to zero, and typically around 4-6 hours.

Group

factor: The reference group (i.e., adherence pattern) from which this patient was generated.

Yi H, Dong X, Shang S, Zhang C, Xu L, Han F (2022). “Identifying longitudinal patterns of CPAP treatment in OSA using growth mixture modeling: Disease characteristics and psychological determinants.” Frontiers in Neurology, 13, 1063461. doi:10.3389/fneur.2022.1063461 .

Examples

data(PAP.adh)

if (require("ggplot2")) {
  plotTrajectories(PAP.adh, id = "Patient", time = "Week", response = "UsageHours")

  # plot according to cluster ground truth
  plotTrajectories(
    PAP.adh,
    id = "Patient",
    time = "Week",
    response = "UsageHours",
    cluster = "Group"
  )
}
#> Loading required package: ggplot2