PURPOSE: Our study was designed to determine factors which would predict which patients were more or less likely to use CPAP for the treatment of obstructive sleep apnea (OSA).These patients once identified could be targeted as soon as possible for more help in adjusting to CPAP to enhance compliance.
METHODS: Retrospective review of questionnaires completed by 112 patients with Mean ± SD Age 60.8 ± 15.2, BMI 32.8 ± 6.9, AHI 35.5 ± 27.6 and Epworth scale 11.1 ± 5.4 with OSA during initial clinic visit,the evening before and morning after CPAP titration in lab was done.Compliance was defined as ≥ 4 hrs/night mask on for > 70% of nights downloaded from CPAP machine on follow up visit 4 -6 weeks after prescription sleep study.Pearson's correlation and Spearman's correlation coefficients were used to measure association with numerical and ordinal factors,respectively.To compare with categorical measures,Wilcoxon's rank sum test or Kruskal-Wallis Analysis of Ranks were used as appropriate.
RESULTS: We have found some predictors of CPAP compliance. Positive Predictors:1.Encouraged by bed partner(r=0.27,p=0.004).2.Make CPAP part of everyday life (r=0.25,p=0.010).3.Diet plan(r=0.22,p=0.022).4.Felt CPAP easy to use(r=0.2,p=0.043). Negative Predictors: 1.Age (r= -0.31,p=0.048).2.Epworth Score(r= -0.19,p=0.05).
CONCLUSION: Based on the questionnaire we found that those patients who were on a diet plan,who were encouraged by a bed partner and those who felt CPAP easy to use and could make it a part of everyday life were associated with higher compliance.Those patients with increased age and higher Epworth score were less likely to comply.
CLINICAL IMPLICATIONS: Simple questionnaires completed in clinic on initial visit and after CPAP titration in the lab could be used to identify patients who are more likely to use CPAP so that the others could be targeted for special interventions to enhance compliance.
DISCLOSURE: Franck Rahaghi, No Financial Disclosure Information; No Product/Research Disclosure Information