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Evaluating the performance of five scoring systems for prescreening obstructive sleep apnea-hypopnea syndrome

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Abstract

Purpose

A comparison of all scoring systems used for screening for obstructive sleep apnea-hypopnea syndrome (OSAHS) is lacking. The aim of this investigation was to evaluate the performance of five scoring systems for screening for OSAHS, as well as to validate the use of the NoSAS and SACS in the Chinese population.

Methods

Data were retrospectively collected from hospital-based, manned, overnight sleep monitoring studies for 105 consecutive outpatients using a portable monitor (PM) device.

Results

The 105 participants had an average age of 46 years and were mostly men (75%). STOP-Bang, SACS, and NoSAS scoring exhibited moderate predictive values at different AHI cutoffs (AUC 0.761–0.853, 0.722–0.854, and 0.724–0.771 respectively), followed by the STOP and Berlin questionnaire (AUC 0.680–0.781vs 0.624–0.724). Both STOP-Bang and SACS showed excellent sensitivity (89.5–100% vs 93.4–94.6%) and negative predictive value (68–100% vs 77.3–90.9%), while STOP-Bang, STOP, and SACS showed low negative likelihood ratios (− LR) (0–0.2).

Conclusions

Our study indicated that the STOP-Bang questionnaire and the SACS both show better predictive value than other scoring systems among the five screening tools for OSAHS. Both scoring systems are simple and easy to implement for screening for OSAHS in the community and in hospitals.

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Data Availability

The data supporting the findings of the article is available from the corresponding author by request. Statistical analyses were performed using SPSS v25.0 and GraphPad Prism v8.0.2.

References

  1. Malhotra RK, Kirsch DB, Kristo DA, Olson EJ, Aurora RN, Carden KA, Chervin RD, Martin JL, Ramar K, Rosen CL, Rowley JA, Rosen IM (2018) Polysomnography for obstructive Sleep apnea should include arousal-based scoring: an American Academy of Sleep Medicine position statement. J Clin Sleep Med 14(7):1245–1247. https://doi.org/10.5664/jcsm.7234

    Article  PubMed  PubMed Central  Google Scholar 

  2. Tan A, Hong Y, Tan L, van Dam RM, Cheung YY, Lee CH (2017) Validation of NoSAS score for screening of sleep-disordered breathing in a multiethnic Asian population. Sleep Breath 21(4):1033–1038. https://doi.org/10.1007/s11325-016-1455-4

    Article  PubMed  Google Scholar 

  3. Marin JM, Carrizo SJ, Vicente E, Agusti AG (2005) Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: an observational study. Lancet 365(9464):1046–1053. https://doi.org/10.1016/S0140-6736(05)71141-7

    Article  PubMed  Google Scholar 

  4. Peppard PE, Young T, Palta M, Skatrud J (2000) Prospective study of the association between sleep-disordered breathing and hypertension. N Engl J Med 342(19):1378–1384. https://doi.org/10.1056/NEJM200005113421901

    Article  CAS  PubMed  Google Scholar 

  5. Kendzerska T, Gershon AS, Hawker G, Tomlinson G, Leung RS (2014) Obstructive sleep apnea and incident diabetes. A historical cohort study. Am J Respir Crit Care Med 190(2):218–225. https://doi.org/10.1164/rccm.201312-2209OC

    Article  PubMed  Google Scholar 

  6. Vaessen TJ, Overeem S, Sitskoorn MM (2015) Cognitive complaints in obstructive sleep apnea. Sleep Med Rev 19:51–58. https://doi.org/10.1016/j.smrv.2014.03.008

    Article  PubMed  Google Scholar 

  7. Teran-Santos J, Jimenez-Gomez A, Cordero-Guevara J (1999) The association between sleep apnea and the risk of traffic accidents. Cooperative Group Burgos-Santander. N Engl J Med 340(11):847–851. https://doi.org/10.1056/NEJM199903183401104

    Article  CAS  PubMed  Google Scholar 

  8. Watson NF (2016) Health care savings: the economic value of diagnostic and therapeutic care for obstructive sleep apnea. J Clin Sleep Med 12(8):1075–1077. https://doi.org/10.5664/jcsm.6034

    Article  PubMed  PubMed Central  Google Scholar 

  9. Chung F, Yegneswaran B, Liao P, Chung SA, Vairavanathan S, Islam S, Khajehdehi A, Shapiro CM (2008) STOP questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology 108(5):812–821. https://doi.org/10.1097/ALN.0b013e31816d83e4

    Article  PubMed  Google Scholar 

  10. Dias RA, Hardin KA, Rose H, Agius MA, Apperson ML, Brass SD (2012) Sleepiness, fatigue, and risk of obstructive sleep apnea using the STOP-BANG questionnaire in multiple sclerosis: a pilot study. Sleep Breath 16(4):1255–1265. https://doi.org/10.1007/s11325-011-0642-6

    Article  PubMed  Google Scholar 

  11. Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP (1999) Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med 131(7):485–491. https://doi.org/10.7326/0003-4819-131-7-199910050-00002

    Article  CAS  PubMed  Google Scholar 

  12. Gali B, Whalen FX, Schroeder DR, Gay PC, Plevak DJ (2009) Identification of patients at risk for postoperative respiratory complications using a preoperative obstructive sleep apnea screening tool and postanesthesia care assessment. Anesthesiology 110(4):869–877. https://doi.org/10.1097/ALN.0b013e31819b5d70

    Article  PubMed  Google Scholar 

  13. Marti-Soler H, Hirotsu C, Marques-Vidal P, Vollenweider P, Waeber G, Preisig M, Tafti M, Tufik SB, Bittencourt L, Tufik S, Haba-Rubio J, Heinzer R (2016) The NoSAS score for screening of sleep-disordered breathing: a derivation and validation study. Lancet Respir Med 4(9):742–748. https://doi.org/10.1016/S2213-2600(16)30075-3

    Article  PubMed  Google Scholar 

  14. Johns MW (1991) A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep 14(6):540–545. https://doi.org/10.1093/sleep/14.6.540

    Article  CAS  PubMed  Google Scholar 

  15. Zhang JN, Peng B, Zhao TT, Xiang M, Fu W, Peng Y (2011) Modification of the Epworth sleepiness scale in Central China. Qual Life Res 20(10):1721–1726. https://doi.org/10.1007/s11136-011-9898-3

    Article  PubMed  PubMed Central  Google Scholar 

  16. Buysse DJ, Reynolds CR, Monk TH, Berman SR, Kupfer DJ (1989) The Pittsburgh Sleep Quality Index: a new instrument for psychiatric practice and research. Psychiatry Res 28(2):193–213. https://doi.org/10.1016/0165-1781(89)90047-4

    Article  CAS  PubMed  Google Scholar 

  17. Berry RB, Budhiraja R, Gottlieb DJ, Gozal D, Iber C, Kapur VK, Marcus CL, Mehra R, Parthasarathy S, Quan SF, Redline S, Strohl KP, Davidson WS, Tangredi MM (2012) 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 8(5):597–619. https://doi.org/10.5664/jcsm.2172

    Article  PubMed  PubMed Central  Google Scholar 

  18. Pereira EJ, Driver HS, Stewart SC, Fitzpatrick MF (2013) Comparing a combination of validated questionnaires and level III portable monitor with polysomnography to diagnose and exclude sleep apnea. J Clin Sleep Med 9(12):1259–1266. https://doi.org/10.5664/jcsm.3264

    Article  PubMed  PubMed Central  Google Scholar 

  19. Rowley JA, Aboussouan LS, Badr MS (2000) The use of clinical prediction formulas in the evaluation of obstructive sleep apnea. Sleep 23(7):929–938. https://doi.org/10.1093/sleep/23.7.929

    Article  CAS  PubMed  Google Scholar 

  20. Flemons WW, Whitelaw WA, Brant R, Remmers JE (1994) Likelihood ratios for a sleep apnea clinical prediction rule. Am J Respir Crit Care Med 150(5 Pt 1):1279–1285. https://doi.org/10.1164/ajrccm.150.5.7952553

    Article  CAS  PubMed  Google Scholar 

  21. Chung F, Yegneswaran B, Liao P, Chung SA, Vairavanathan S, Islam S, Khajehdehi A, Shapiro CM (2008) Validation of the Berlin questionnaire and American Society of Anesthesiologists checklist as screening tools for obstructive sleep apnea in surgical patients. Anesthesiology 108(5):822–830. https://doi.org/10.1097/ALN.0b013e31816d91b5

    Article  PubMed  Google Scholar 

  22. Ahmadi N, Chung SA, Gibbs A, Shapiro CM (2008) The Berlin questionnaire for sleep apnea in a sleep clinic population: relationship to polysomnographic measurement of respiratory disturbance. Sleep Breath 12(1):39–45. https://doi.org/10.1007/s11325-007-0125-y

    Article  PubMed  Google Scholar 

  23. Blackman A, McGregor C, Dales R, Driver HS, Dumov I, Fleming J, Fraser K, George C, Khullar A, Mink J, Moffat M, Sullivan GE, Fleetham JA, Ayas N, Bradley TD, Fitzpatrick M, Kimoff J, Morrison D, Ryan F, Skomro R, Series F, Tsai W (2010) Canadian Sleep Society/Canadian Thoracic Society position paper on the use of portable monitoring for the diagnosis of obstructive sleep apnea/hypopnea in adults. Can Respir J 17(5):229–232. https://doi.org/10.1155/2010/923718

    Article  PubMed  PubMed Central  Google Scholar 

  24. Vat S, Haba-Rubio J, Tafti M, Tobback N, Andries D, Heinzer R (2015) Scoring criteria for portable monitor recordings: a comparison of four hypopnoea definitions in a population-based cohort. Thorax 70(11):1047–1053. https://doi.org/10.1136/thoraxjnl-2014-205982

    Article  PubMed  Google Scholar 

  25. Collop NA, Anderson WM, Boehlecke B, Claman D, Goldberg R, Gottlieb DJ, Hudgel D, Sateia M, Schwab R (2007) Clinical guidelines for the use of unattended portable monitors in the diagnosis of obstructive sleep apnea in adult patients. Portable Monitoring Task Force of the American Academy of Sleep Medicine. J Clin Sleep Med 3(7):737–747

    Article  PubMed  Google Scholar 

  26. Collop NA, Tracy SL, Kapur V, Mehra R, Kuhlmann D, Fleishman SA, Ojile JM (2011) Obstructive sleep apnea devices for out-of-center (OOC) testing: technology evaluation. J Clin Sleep Med 7(5):531–548. https://doi.org/10.5664/JCSM.1328

    Article  PubMed  PubMed Central  Google Scholar 

  27. Parra O, Garcia-Esclasans N, Montserrat JM, Garcia EL, Ruiz J, Lopez JA, Guerra JM, Sopena JJ (1997) Should patients with sleep apnoea/hypopnoea syndrome be diagnosed and managed on the basis of home sleep studies? Eur Respir J 10(8):1720–1724. https://doi.org/10.1183/09031936.97.10081720

    Article  CAS  PubMed  Google Scholar 

  28. Driver HS, Pereira EJ, Bjerring K, Toop F, Stewart SC, Munt PW, Fitzpatrick MF (2011) Validation of the MediByte(R) type 3 portable monitor compared with polysomnography for screening of obstructive sleep apnea. Can Respir J 18(3):137–143. https://doi.org/10.1155/2011/760958

    Article  PubMed  PubMed Central  Google Scholar 

  29. Masa JF, Corral J, Pereira R, Duran-Cantolla J, Cabello M, Hernandez-Blasco L, Monasterio C, Alonso A, Chiner E, Zamorano J, Aizpuru F, Montserrat JM (2011) Therapeutic decision-making for sleep apnea and hypopnea syndrome using home respiratory polygraphy: a large multicentric study. Am J Respir Crit Care Med 184(8):964–971. https://doi.org/10.1164/rccm.201103-0428OC

    Article  PubMed  Google Scholar 

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Acknowledgments

We thank the international research fund of Philips-Respironics for supporting us with portable sleep monitoring devices.

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Authors and Affiliations

Authors

Contributions

Jinnong Zhang, Wenjing Wang, and Wei Peng conceived and designed the study. Jinnong Zhang supervised the overall study. Shan Yuan collected sleep data. Haiying Zheng and Tianci Yao conducted sleep test and questionnaire survey. Wenjing Wang analyzed the data. Jinnong Zhang and Wenjing Wang wrote the manuscript. Jinnong Zhang, Wenjing Wang, and Jehane Michael Le Grange revised the manuscript.

Corresponding author

Correspondence to Jinnong Zhang.

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Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This study was approved by the Medical Ethics Committee of Tongji Medical College, Huazhong University of Science and Technology and performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments. Written informed consent was waived by the Medical Ethics Committee.

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Wang, W., Yuan, S., Le Grange, J. et al. Evaluating the performance of five scoring systems for prescreening obstructive sleep apnea-hypopnea syndrome. Sleep Breath 25, 1685–1692 (2021). https://doi.org/10.1007/s11325-020-02227-6

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