Khaytin I, Tapia IE, Xanthopoulos MS, Cielo C, Kim JY, Smith J, Matthews EC, Beck SE. Auto-titrating CPAP for the treatment of obstructive sleep apnea in children.
J Clin Sleep Med 2020;
16:871-878. [PMID:
32039753 PMCID:
PMC7849672 DOI:
10.5664/jcsm.8348]
[Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2019] [Revised: 01/12/2020] [Accepted: 01/13/2020] [Indexed: 12/13/2022]
Abstract
STUDY OBJECTIVES
In-laboratory titration polysomnography (PSG) is standard to determine optimal therapeutic continuous positive airway pressure (CPAP) in children with obstructive sleep apnea (OSA). The use of auto-titrating CPAP devices (autoCPAP) as an alternative to CPAP titration has not been well studied in children. We hypothesized that autoCPAP-derived pressures (PMEAN, PPEAKMEAN, P90) would be similar to titration PSG pressure (PPSG).
METHODS
This is a retrospective study of children with OSAS initiated on autoCPAP between 2007 and 2017, who used autoCPAP for at least 2 h/night and who had adequate titration PSG were included in the analysis. AutoCPAP-derived pressures were obtained from use downloads and compared with PPSG. PPSG predictive factors were analyzed by median regression. Nonparametric methods were used for analysis.
RESULTS
Of 110 children initiated on autoCPAP, 44 satisfied the inclusion criteria. Age (median (interquartile range)) was 13.01 (9.98-16.72) years, and 63.6% were obese. PPSG median (interquartile range) was 8 (7-11) cmH₂O, mean autoCPAP-derived pressure (PMEAN) was 6.2 (5.6-7.6) cmH₂O, peak mean pressure (PPEAKMEAN) was 9.4 (7.7-11.1) cmH₂O, and average device pressure ≤ 90% of the time (P90) was 8.1 (7.2-9.7) cmH₂O. AutoCPAP-derived pressures correlated with PPSG (P < .05). PMEAN was lower than the other 3 pressures (P < .0002). Median regression analysis demonstrated that after adjusting for patient characteristics such as age, sex, and obesity status, autoCPAP-derived pressures remained significant predictors of PPSG (P < .05). There were no significant interactions between these patient characteristics and autoCPAP-derived pressures.
CONCLUSIONS
This study demonstrates that autoCPAP-derived pressures correlate with the titration PSG-derived pressures. These results indicate that autoCPAP can be used in the pediatric population and can determine pressures that are close to the titration pressures.
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