Continuous positive airway pressure adherence trajectories in sleep apnea: Clustering with summed discrete Fréchet and dynamic time warping dissimilarities.
Guillaume Bottaz-BossonAgnès HamonJean-Louis PépinJean-François TimsitAdeline SamsonPublished in: Statistics in medicine (2021)
CPAP data were clustered with the Ward linkage, the DTW dissimilarity and the Dunn index. It identified six clusters, from a cluster of patients (N = 29 subjects) whose stopped the therapy early on to a cluster (N = 105) with increasing adherence over time. Other clusters were extremely good users (N = 151), good users (N = 150), moderate users (N = 235), and poor adherers (N = 178).
Keyphrases
- sleep apnea
- positive airway pressure
- obstructive sleep apnea
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- depressive symptoms
- stem cells
- type diabetes
- electronic health record
- mesenchymal stem cells
- glycemic control
- bone marrow
- hepatitis c virus
- antiretroviral therapy
- weight loss
- adipose tissue
- smoking cessation