Key result
Baseline Monthly Adherence Standard Deviation (MASD) combined with mean adherence effectively stratified patients into four distinct CPAP adherence profiles at 6 months.
Why the study?
Suboptimal adherence limits the efficacy of CPAP in OSA, prompting investigation into whether monthly adherence standard deviation adds predictive information beyond monthly adherence mean alone.
Does Monthly Adherence Standard Deviation (MASD) combined with Monthly Adherence Mean (MAM) improve prediction of long-term CPAP adherence compared to MAM alone in patients with OSA?
Observational (n=1,612)
Does Monthly Adherence Standard Deviation (MASD) combined with Monthly Adherence Mean (MAM) improve prediction of long-term CPAP adherence compared to MAM alone in patients with OSA?
Answers are grounded in this paper and cite their sources.
Adding Monthly Adherence Standard Deviation (MASD) to mean adherence data provides better prediction of long-term CPAP adherence in OSA patients.
Suboptimal adherence limits the efficacy of Continuous Positive Airway Pressure (CPAP) in Obstructive Sleep Apnea (OSA). To determine whether the Monthly Adherence Standard Deviation (MASD), that quantifies the variability in CPAP use during the baseline month (January 2021, at least the fourth month of treatment) provides predictive information about adherence, 6 and 12 months after baseline that would not be captured by the Monthly Adherence Mean (MAM) value alone. This retrospective analysis includes CPAP telemonitoring data from a population of 1,612 patients. The overall population was randomly assigned to a construction (80%) and test cohort (20%) for internal validation. A threshold on baseline MASD was defined using a Receiver Operating Characteristic (ROC) curve. A MASD threshold of 1.76h was identified. Based on this threshold and the standard 4 h/day criterion applied to the MAM, patients were classified into four groups: high MAM/low MASD, high MAM/high MASD, low MAM/low MASD, and low MAM/high MASD. Significant differences were observed among the groups 6 and 12 months after baseline data. Six months after baseline, average MAM for each patient group in the test population were 6.84 ± 1.58, 5.66 ± 1.97, 1.27 ± 2.09, and 3.04 ± 1.90hours/day, respectively ( p < 0.001); percentages of adherent patients were 91.4%, 69.9%, 6.25%, and 13.9% ( p < 0.001). Similar patterns were found 12 months after baseline. MASD in CPAP adherence can distinguish between patients with different adherence behaviors 6 and 12 months after, capturing patterns not evident from MAM alone. • MASD gives more insights about CPAP adherence than MAM alone at 6-12 months. • MASD and MAM thresholds effectively divides patients into four adherence profiles. • High MASD despite good MAM can be associated with decline in CPAP usage consistency. • Higher MASD predicts poorer outcome in high MAM patients. • Lower MASD predicts poorer outcome in low MAM patients.
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Giachetti et al. (2025) conducted an observational in Obstructive Sleep Apnea (OSA) (n=1,612). Monthly Adherence Standard Deviation (MASD) vs. Monthly Adherence Mean (MAM) alone was evaluated on CPAP adherence at 6 months (p=<0.001). Baseline Monthly Adherence Standard Deviation (MASD) combined with mean adherence effectively stratified patients into four distinct CPAP adherence profiles at 6 months.
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