Table 2 Clinical background of 219 participants and their CPAP usage characteristics during CPAP therapy.

From: Investigation on factors related to poor CPAP adherence using machine learning: a pilot study

Variable

Unit

Value

Clinical background

Number of patients

 

219

Male

%

86.8 (N = 190)

Age at CPAP start

Year

61.5 ± 12.0

Body mass index

kg/m2

27.5 ± 5.46

AHI at PSG at diagnosis

events/h

47.3 ± 18.1

AHI at PSG at CPAP start

events/h

7.34 ± 8.45

CPAP usage characteristics in CPAP logs

CPAP mode (auto/fixed)

%

98.2/1.80

Daily mean mask pressure in auto mode

cmH2O

8.57 ± 2.02

Daily usage duration

min

334 ± 121

Daily AI

events/h

1.35 ± 2.43

Daily AHI

events/h

2.03 ± 2.74

Daily air leakage

L/sec

0.10 ± 0.15

  1. Data represent mean ± standard deviation. CPAP continuous positive airway pressure; AHI apnea–hypopnea index; PSG polysomnography; AI apnea index.