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Original Research

Pre- and in-therapy predictive score models of adult OSAS patients with poor adherence pattern on nCPAP therapy

, , , , , , & show all
Pages 715-723 | Published online: 28 May 2015

Figures & data

Figure 1 Distributions of adherence to nCPAP among newly diagnosed OSAS patients over time.

Notes: (A) Distribution of 76 individuals’ adherence by three patterns of adherence; (B) means and 95% CI of each pattern of adherence. Each subject is represented by a single line in (A). Solid line: good adherence pattern; dashed line: moderate adherence pattern; dotted line: poor adherence pattern.
Abbreviations: nCPAP, nasal continuous positive airway pressure; OSAS, obstructive sleep apnea/hypopnea syndrome; CI, confidence interval.
Figure 1 Distributions of adherence to nCPAP among newly diagnosed OSAS patients over time.

Table 1 Evaluation parameter of bss/tss from K-means cluster analysis and the number of subjects in the smallest cluster from K-means cluster analysis

Table 2 Baseline and 3rd week information and the average nightly adherence during the study according to the three patterns of adherence

Table 3 Cumulative logit regression results of baseline predictors of 12-week adherence pattern

Table 4 Cumulative logit regression results of first-3-week therapy predictors of 12-week adherence pattern

Figure 2 Distributions of baseline and first 3 weeks predictive score among three adherence patterns.

Notes: Each score is represented by a single dot in the figure. Reference line marks the selected cut-off point.
Figure 2 Distributions of baseline and first 3 weeks predictive score among three adherence patterns.

Figure 3 ROC curves of baseline and first-3-weeks predictive scores. Each symbol represents a different score.

Abbreviations: AUC, area under the curve; ROC, receiver operating characteristics.
Figure 3 ROC curves of baseline and first-3-weeks predictive scores. Each symbol represents a different score.

Table 5 Bootstrap evaluation of predictive ability of baseline and first-3-week predictive scores using the selected cut-off pointsTable Footnotea (mean and 95% bootstrap confidence interval)