Accuracy of residual respiratory event detection by CPAPs: a meta-analysis

Patil SP, Ayappa IA, Caples SM, Kimoff RJ, Patel SR, Harrod CG (2019) Treatment of adult obstructive sleep apnea with positive airway pressure: an American Academy of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med 15(2):335–343. https://doi.org/10.5664/jcsm.7640

Article  Google Scholar 

Ikeda Y, Kasai T, Kawana F, Kasagi S, Takaya H, Ishiwata S, Narui K (2012) Comparison between the apnea-hypopnea indices determined by the REMstar Auto M series and those determined by standard in-laboratory polysomnography in patients with obstructive sleep apnea. Intern Med 51(20):2877–2885. https://doi.org/10.2169/internalmedicine.51.8249

Article  Google Scholar 

Baek JJJ, Lee S (2016) Accuracy of the auto scoring by the S9 CPAP in patients with obstructive sleep apnea. Sleep Med Res 7(1):26–32

Article  Google Scholar 

Li QY, Berry RB, Goetting MG, Staley B, Soto-Calderon H, Tsai SC, Jasko JG, Pack AI, Kuna ST (2015) Detection of upper airway status and respiratory events by a current generation positive airway pressure device. Sleep 38(4):597–605. https://doi.org/10.5665/sleep.4578

Article  Google Scholar 

Ueno K, Kasai T, Brewer G, Takaya H, Maeno K, Kasagi S, Kawana F, Ishiwata S, Narui K (2010) Evaluation of the apnea-hypopnea index determined by the S8 auto-CPAP, a continuous positive airway pressure device, in patients with obstructive sleep apnea-hypopnea syndrome. J Clin Sleep Med 6(2):146–151

Article  Google Scholar 

Denotti AL, Wong KK, Dungan GC 2nd, Gilholme JW, Marshall NS, Grunstein RR (2012) Residual sleep-disordered breathing during autotitrating continuous positive airway pressure therapy. Eur Respir J 39(6):1391–1397. https://doi.org/10.1183/09031936.00093811

Article  Google Scholar 

Prasad B, Carley DW, Herdegen JJ (2010) Continuous positive airway pressure device-based automated detection of obstructive sleep apnea compared to standard laboratory polysomnography. Sleep Breath 14(2):101–107. https://doi.org/10.1007/s11325-009-0285-z

Article  Google Scholar 

Page MJ, McKenzie JE, Bossuyt PM, Boutron I, Hoffmann TC, Mulrow CD, Shamseer L, Tetzlaff JM, Akl EA, Brennan SE, Chou R, Glanville J, Grimshaw JM, Hrobjartsson A, Lalu MM, Li T, Loder EW, Mayo-Wilson E, McDonald S, McGuinness LA, Stewart LA, Thomas J, Tricco AC, Welch VA, Whiting P, Moher D (2021) The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. Rev Esp Cardiol (Engl Ed) 74(9):790–799. https://doi.org/10.1016/j.rec.2021.07.010

Article  Google Scholar 

Iftikhar IH, Finch CE, Shah AS, Augunstein CA, Ioachimescu OC (2022) A meta-analysis of diagnostic test performance of peripheral arterial tonometry studies. J Clin Sleep Med 18(4):1093–1102. https://doi.org/10.5664/jcsm.9808

Article  Google Scholar 

Joosten A, Desebbe O, Suehiro K, Murphy LS, Essiet M, Alexander B, Fischer MO, Barvais L, Van Obbergh L, Maucort-Boulch D, Cannesson M (2017) Accuracy and precision of non-invasive cardiac output monitoring devices in perioperative medicine: a systematic review and meta-analysisdagger. Br J Anaesth 118(3):298–310. https://doi.org/10.1093/bja/aew461

Article  CAS  Google Scholar 

Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21(11):1539–1558. https://doi.org/10.1002/sim.1186

Article  Google Scholar 

Berry RB, Kushida CA, Kryger MH, Soto-Calderon H, Staley B, Kuna ST (2012) Respiratory event detection by a positive airway pressure device. Sleep 35(3):361–367. https://doi.org/10.5665/sleep.1696

Article  Google Scholar 

Cilli A, Uzun R, Bilge U (2013) The accuracy of autotitrating CPAP-determined residual apnea-hypopnea index. Sleep Breath 17(1):189–193. https://doi.org/10.1007/s11325-012-0670-x

Article  Google Scholar 

Gagnadoux F, Pevernagie D, Jennum P, Lon N, Loiodice C, Tamisier R, van Mierlo P, Trzepizur W, Neddermann M, Machleit A, Jasko J, Pepin JL (2017) Validation of the system One RemStar Auto A-Flex for obstructive sleep apnea treatment and detection of residual apnea-hypopnea index: a European randomized trial. J Clin Sleep Med 13(2):283–290. https://doi.org/10.5664/jcsm.6464

Article  Google Scholar 

Khirani S, Delord V, Olmo Arroyo J, De Sanctis L, Frapin A, Amaddeo A, Fauroux B (2017) Can the analysis of built-in software of CPAP devices replace polygraphy in children? Sleep Med 37:46–53. https://doi.org/10.1016/j.sleep.2017.05.019

Article  Google Scholar 

Kim DE, Hwangbo Y, Bae JH, Yang KI (2015) Accuracy of residual apnea-hypopnea index obtained using the continuous positive airway pressure device: application of new version 2.0 scoring rules for respiratory events during sleep. Sleep Breath 19(4):1335–1341. https://doi.org/10.1007/s11325-015-1257-0

Article  Google Scholar 

Mihai R, Ellis K, Davey MJ, Nixon GM (2020) Interpreting CPAP device respiratory indices in children. J Clin Sleep Med 16(10):1655–1661. https://doi.org/10.5664/jcsm.8618

Article  Google Scholar 

Nigro CA, Gonzalez S, Arce A, Aragone MR, Nigro L (2015) Accuracy of a novel auto-CPAP device to evaluate the residual apnea-hypopnea index in patients with obstructive sleep apnea. Sleep Breath 19(2):569–578. https://doi.org/10.1007/s11325-014-1048-z

Article  Google Scholar 

Schwab RJ, Badr SM, Epstein LJ, Gay PC, Gozal D, Kohler M, Levy P, Malhotra A, Phillips BA, Rosen IM, Strohl KP, Strollo PJ, Weaver EM, Weaver TE, Systems ATSSoCAT (2013) An official American Thoracic Society statement: continuous positive airway pressure adherence tracking systems. The optimal monitoring strategies and outcome measures in adults. Am J Respir Crit Care Med 188(5):613–620. https://doi.org/10.1164/rccm.201307-1282ST

Article  Google Scholar 

Reiter J, Zleik B, Bazalakova M, Mehta P, Thomas RJ (2016) Residual events during use of CPAP: prevalence, predictors, and detection accuracy. J Clin Sleep Med 12(8):1153–1158. https://doi.org/10.5664/jcsm.6056

Article  Google Scholar 

Ni YN, Thomas RJ (2022) A longitudinal study of the accuracy of positive airway pressure therapy machine-detected apnea-hypopnea events. J Clin Sleep Med 18(4):1121–1134. https://doi.org/10.5664/jcsm.9814

Article  Google Scholar 

Geissbuhler M, Hincapie CA, Aghlmandi S, Zwahlen M, Juni P, da Costa BR (2021) Most published meta-regression analyses based on aggregate data suffer from methodological pitfalls: a meta-epidemiological study. BMC Med Res Methodol 21(1):123. https://doi.org/10.1186/s12874-021-01310-0

Article  Google Scholar 

留言 (0)

沒有登入
gif