Pulmonary Function Influences the Performance of Berlin Questionnaire, Modified Berlin Questionnaire, and STOP-Bang Score for Screening Obstructive Sleep Apnea in Subjects with Chronic Obstructive Pulmonary Disease

References

• VogelmeierCF, CrinerGJ, MartinezFJ, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive lung disease 2017 report. GOLD executive summary. Am J Respir Crit Care Med. 2017;195(5):557–582. doi:10.1164/rccm.201701-0218PP28128970
   PubMed Web of Science ®Google Scholar
• VestboJ, HurdSS, AgustiAG, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2013;187(4):347–365. doi:10.1164/rccm.201204-0596PP22878278
   PubMed Web of Science ®Google Scholar
• Diaz-GuzmanE, ManninoDM. Epidemiology and prevalence of chronic obstructive pulmonary disease. Clin Chest Med. 2014;35(1):7–16. doi:10.1016/j.ccm.2013.10.00224507833
   PubMed Web of Science ®Google Scholar
• GuilleminaultC, TilkianA, DementWC. The sleep apnea syndromes. Annu Rev Med. 1976;27:465–484. doi:10.1146/annurev.me.27.020176.002341180875
   PubMed Web of Science ®Google Scholar
• SenaratnaCV, PerretJL, LodgeCJ, et al. Prevalence of obstructive sleep apnea in the general population: a systematic review. Sleep Med Rev. 2017;34:70–81. doi:10.1016/j.smrv.2016.07.00227568340
   PubMed Web of Science ®Google Scholar
• WeitzenblumE, ChaouatA, KesslerR, CanuetM. Overlap syndrome: obstructive sleep apnea in patients with chronic obstructive pulmonary disease. Proc Am Thorac Soc. 2008;5(2):237–241. doi:10.1513/pats.200706-077MG18250217
   PubMedGoogle Scholar
• FlenleyDC. Sleep in chronic obstructive lung disease. Clin Chest Med. 1985;6(4):651–661.2935359
   PubMed Web of Science ®Google Scholar
• ChaouatA, WeitzenblumE, KriegerJ, IfoundzaT, OswaldM, KesslerR. Association of chronic obstructive pulmonary disease and sleep apnea syndrome. Am J Respir Crit Care Med. 1995;151(1):82–86. doi:10.1164/ajrccm.151.1.78125777812577
   PubMed Web of Science ®Google Scholar
• MarinJM, SorianoJB, CarrizoSJ, BoldovaA, CelliBR. Outcomes in patients with chronic obstructive pulmonary disease and obstructive sleep apnea: the overlap syndrome. Am J Respir Crit Care Med. 2010;182(3):325–331. doi:10.1164/rccm.200912-1869OC20378728
   PubMed Web of Science ®Google Scholar
• HangLW, HsuJY, ChangCJ, et al. Predictive factors warrant screening for obstructive sleep apnea in COPD: a Taiwan National Survey. Int J Chron Obstruct Pulmon Dis. 2016;11:665–673. doi:10.2147/COPD.S9650427099484
   PubMed Web of Science ®Google Scholar
• MachadoMC, VollmerWM, TogeiroSM, et al. CPAP and survival in moderate-to-severe obstructive sleep apnoea syndrome and hypoxaemic COPD. Eur Respir J. 2010;35(1):132–137. doi:10.1183/09031936.0019200819574323
   PubMed Web of Science ®Google Scholar
• KapurVK, AuckleyDH, ChowdhuriS, et al. Clinical practice guideline for diagnostic testing for adult obstructive sleep apnea: an American Academy Of Sleep Medicine Clinical Practice Guideline. J Clin Sleep Med. 2017;13(3):479–504. doi:10.5664/jcsm.650628162150
   PubMed Web of Science ®Google Scholar
• NetzerNC, StoohsRA, NetzerCM, ClarkK, StrohlKP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131(7):485–491. doi:10.7326/0003-4819-131-7-199910050-0000210507956
   PubMed Web of Science ®Google Scholar
• SharmaSK, VasudevC, SinhaS, BangaA, PandeyRM, HandaKK. Validation of the modified Berlin questionnaire to identify patients at risk for the obstructive sleep apnoea syndrome. Indian J Med Res. 2006;124(3):281–290.17085831
   PubMed Web of Science ®Google Scholar
• ChungF, YegneswaranB, LiaoP, et al. STOP questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology. 2008;108(5):812–821. doi:10.1097/ALN.0b013e31816d83e418431116
   PubMed Web of Science ®Google Scholar
• FariaAC, da CostaCH, RufinoR. Sleep Apnea Clinical Score, Berlin Questionnaire, or Epworth Sleepiness Scale: which is the best obstructive sleep apnea predictor in patients with COPD? Int J Gen Med. 2015;8:275–281. doi:10.2147/IJGM.S8647926345497
   PubMedGoogle Scholar
• SolerX, LiaoSY, MarinJM, et al. Age, gender, neck circumference, and Epworth sleepiness scale do not predict obstructive sleep apnea (OSA) in moderate to severe chronic obstructive pulmonary disease (COPD): the challenge to predict OSA in advanced COPD. PLoS One. 2017;12(5):e0177289. doi:10.1371/journal.pone.017728928510598
   PubMed Web of Science ®Google Scholar
• MahlerDA, HarverA. A factor analysis of dyspnea ratings, respiratory muscle strength, and lung function in patients with chronic obstructive pulmonary disease. Am Rev Respir Dis. 1992;145(2 Pt 1):467–470. doi:10.1164/ajrccm/145.2_Pt_1.4671736759
   PubMed Web of Science ®Google Scholar
• JonesPW, HardingG, BerryP, WiklundI, ChenWH, Kline LeidyN. Development and first validation of the COPD assessment test. Eur Respir J. 2009;34(3):648–654. doi:10.1183/09031936.0010250919720809
   PubMed Web of Science ®Google Scholar
• MillerMR, HankinsonJ, BrusascoV, et al. Standardisation of spirometry. Eur Respir J. 2005;26(2):319–338. doi:10.1183/09031936.05.0003480516055882
   PubMed Web of Science ®Google Scholar
• RedlineS, SandersMH, LindBK, et al. Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group. Sleep. 1998;21(7):759–767. doi:10.1093/sleep/21.7.75911300121
   PubMed Web of Science ®Google Scholar
• BerryRB, BudhirajaR, GottliebDJ, et al. Rules for scoring respiratory events in sleep: update of the 2007 AASM manual for the scoring of sleep and associated events. Deliberations of the sleep apnea definitions task force of the American Academy of Sleep Medicine. J Clin Sleep Med. 2012;8(5):597–619. doi:10.5664/jcsm.217223066376
   PubMed Web of Science ®Google Scholar
• Marti-SolerH, HirotsuC, Marques-VidalP, et al. The NoSAS score for screening of sleep-disordered breathing: a derivation and validation study. Lancet Respir Med. 2016;4(9):742–748. doi:10.1016/S2213-2600(16)30075-327321086
   PubMed Web of Science ®Google Scholar
• PengM, ChenR, ChengJ, LiJ, LiuW, HongC. Application value of the NoSAS score for screening sleep-disordered breathing. J Thorac Dis. 2018;10(8):4774–4781. doi:10.21037/jtd.2018.07.4630233849
   PubMed Web of Science ®Google Scholar
• HongC, ChenR, QingS, et al. Validation of the NoSAS score for the screening of sleep-disordered breathing: a hospital-based retrospective study in China. J Clin Sleep Med. 2018;14(02):191–197. doi:10.5664/jcsm.693029394959
   PubMed Web of Science ®Google Scholar
• ZhuJ, ZhaoZ, NieQ, et al. Effect of lung function on the apnea-hypopnea index in patients with overlap syndrome: a multicenter cross-sectional study. Sleep Breath. 2019. doi:10.1007/s11325-019-01961-w
   Web of Science ®Google Scholar
• BednarekM, PlywaczewskiR, JonczakL, ZielinskiJ. There is no relationship between chronic obstructive pulmonary disease and obstructive sleep apnea syndrome: a population study. Respiration. 2005;72(2):142–149. doi:10.1159/00008404415824523
   PubMed Web of Science ®Google Scholar
• WilsonDO, RogersRM, HoffmanRM. Nutrition and chronic lung disease. Am Rev Respir Dis. 1985;132(6):1347–1365. doi:10.1164/arrd.1985.132.6.13473907446
   PubMed Web of Science ®Google Scholar
• BaarendsEM, ScholsAM, van Marken LichtenbeltWD, WoutersEF. Analysis of body water compartments in relation to tissue depletion in clinically stable patients with chronic obstructive pulmonary disease. Am J Clin Nutr. 1997;65(1):88–94. doi:10.1093/ajcn/65.1.888988918
   PubMed Web of Science ®Google Scholar
• KaradagF, KarulAB, CildagO, AltunC, GurgeyO. Determinants of BMI in patients with COPD. Respirology. 2004;9(1):70–75. doi:10.1111/j.1440-1843.2003.00533.x14982605
   PubMed Web of Science ®Google Scholar
• WilsonDO, RogersRM, WrightEC, AnthonisenNR. Body weight in chronic obstructive pulmonary disease. The National Institutes of Health Intermittent Positive-Pressure Breathing Trial. Am Rev Respir Dis. 1989;139(6):1435–1438. doi:10.1164/ajrccm/139.6.14352658702
   PubMed Web of Science ®Google Scholar
• MarquisK, DebigareR, LacasseY, et al. Midthigh muscle cross-sectional area is a better predictor of mortality than body mass index in patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2002;166(6):809–813. doi:10.1164/rccm.210703112231489
   PubMed Web of Science ®Google Scholar
• GrubergL, WeissmanNJ, WaksmanR, et al. The impact of obesity on the short-term and long-term outcomes after percutaneous coronary intervention: the obesity paradox? J Am Coll Cardiol. 2002;39(4):578–584. doi:10.1016/S0735-1097(01)01802-211849854
   PubMed Web of Science ®Google Scholar
• SunY, MilneS, JawJE, et al. BMI is associated with FEV1 decline in chronic obstructive pulmonary disease: a meta-analysis of clinical trials. Respir Res. 2019;20(1):236. doi:10.1186/s12931-019-1209-531665000
   PubMed Web of Science ®Google Scholar
• HeederikD, MillerBG. Weak associations in occupational epidemiology: adjustment for exposure estimation error. Int J Epidemiol. 1988;17(4):970–974. doi:10.1093/ije/17.4.9703225115
   PubMed Web of Science ®Google Scholar
• BandeJ, ClementJ, Van dWKP. The influence of smoking habits and body weight on vital capacity and FEV1 in male Air Force personnel: a longitudinal and cross-sectional analysis. Am Rev Respir Dis. 1980;122(5):781–790.6969563
   PubMed Web of Science ®Google Scholar
• CotesJE, GilsonJC, JohnC. Effects of inactivity, weight gain and antitubercular chemotherapy upon lung function in working coal-miners. Ann Occup Hyg. 1967;10(4):327–335.6063962
   PubMedGoogle Scholar
• ChenY, HorneSL, DosmanJA. Body weight and weight gain related to pulmonary function decline in adults: a six year follow up study. Thorax. 1993;48(4):375–380. doi:10.1136/thx.48.4.3758511735
   PubMed Web of Science ®Google Scholar
• BoriekAM, LopezMA, VelascoC, et al. Obesity modulates diaphragm curvature in subjects with and without COPD. Am J Physiol Regul Integr Comp Physiol. 2017;313(5):R620–r629. doi:10.1152/ajpregu.00173.201728903915
   PubMed Web of Science ®Google Scholar