Design and Validation of Sleep Apnea Risk Assessment (SARA): A Screening Tool for Moderate-to-Severe Obstructive Sleep Apnea
Status PubMed-not-MEDLINE Jazyk angličtina Země Nový Zéland Médium electronic-ecollection
Typ dokumentu časopisecké články
PubMed
40488126
PubMed Central
PMC12145793
DOI
10.2147/nss.s518391
PII: 518391
Knihovny.cz E-zdroje
- Klíčová slova
- Berlin questionnaire, Epworth sleepiness scale, SARA, STOP-bang, obstructive sleep apnea, screening questionnaire,
- Publikační typ
- časopisecké články MeSH
PURPOSE: We designed and validated a concise, efficient screening tool, the Sleep Apnea Risk Assessment (SARA), to identify patients at high risk of moderate to-severe obstructive sleep apnea. PATIENTS AND METHODS: We conducted a two-phase, multicenter study from September 1, 2018, to October 31, 2023. We created Cohort A (n=221, mean age 50.5±13.0 years, 69.2% male) to design SARA and compared the results with the Epworth Sleepiness Scale, Berlin Questionnaire, Pittsburgh Sleep Quality Index, STOP-Bang, and STOP questionnaires. Cohort B (n=253, mean age 48.0±13.4 years, 75.5% male) served for validation. RESULTS: SARA comprises six variables with the highest accuracy: sleep apnea observed by the bedroom partner (8 points), snoring (5 points), male sex (3 points), age≥50 years (3 points), daytime fatigue (3 points), and body mass index≥30 kg/m2 (2 points). SARA yielded an area under the receiver operating characteristic curve (AUC) of 0.77 (95% CI: 0.71-0.83) and sensitivity of 87.2% (95% CI: 80.8-92.1) in cohort A at a cut-off score of ≥11 points. Validation in cohort B showed an AUC of 0.79 (95% CI: 0.74-0.84) and a sensitivity of 98% (95% CI: 89.2-95.4). SARA performance significantly outperformed the other questionnaires tested. CONCLUSION: The SARA is a promising new screening tool for moderate-to-severe obstructive sleep apnea, demonstrating high sensitivity and a strong ROC curve. Further large-scale validation is recommended.
Department of Neurology University Hospital Ostrava Ostrava Poruba 708 52 Czech Republic
Department of Otorhinolaryngology Hospital in Frýdek Místek Frýdek Místek 738 01 Czech Republic
Department of Otorhinolaryngology St Luke's Hospital Bielsko Biala 43 309 Poland
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Somers V, White D, Amin R, et al. Sleep apnea and cardiovascular disease: an American heart association/American college of cardiology foundation scientific statement from the American heart association council for high blood pressure research professional education committee, council on. Circulation. 2008;118(10):1080–1111. doi:10.1161/CIRCULATIONAHA.107.189375 PubMed DOI
Baillieul S, Dekkers M, Brill AK, et al. Sleep apnoea and ischaemic stroke: current knowledge and future directions. Lancet Neurol. 2022;21(1):78–88. doi:10.1016/S1474-4422(21)00321-5 PubMed DOI
Benjafield AV, Ayas NT, Eastwood PR, et al. Estimation of the global prevalence and burden of obstructive sleep apnoea: a literature-based analysis. Lancet Respir Med. 2019;7(8):687–698. doi:10.1016/S2213-2600(19)30198-5 PubMed DOI PMC
American Academy of Sleep Medicine. International Classification of Sleep Disorders. 3rd ed. Darien, IL: American Academy of Sleep Medicine; 2014.
Kryger M, Roth T, Goldstein CA, Dement WC. Principles and Practice of Sleep Medicine. Vol II. 7th. Philadelphia: Elsevier; 2022.
Amra B, Rahmati B, Soltaninejad F, Feizi A. Screening questionnaires for obstructive sleep apnea: an updated systematic review. Oman Med J. 2018;33(3):184–192. doi:10.5001/omj.2018.36 PubMed DOI PMC
Troester MM, Quan SF, Berry RB; American Academy of Sleep Medicine, et al. The AASM Manual for the Scoring of Sleep and Associated Events: Rules, Terminology and Technical Specifications. Version 3. Darien, IL: American Academy of Sleep Medicine;2023.
Chung F, Abdullah HR, Liao P. STOP-bang questionnaire a practical approach to screen for obstructive sleep apnea. Chest. 2016;149(3):631–638. doi:10.1378/chest.15-0903 PubMed DOI
Shrestha SK, Shrestha S, Rajkarnikar R, et al. Comparing four standard sleep questionnaires to polysomnography to predict possibility of obstructive sleep apnea and its severity. J Adv Intern Med. 2021;10(1):33–37. doi:10.3126/jaim.v10i1.37089 DOI
Pivetta B, Chen L, Nagappa M, et al. Use and performance of the STOP-Bang questionnaire for obstructive sleep apnea screening across geographic regions: a systematic review and meta-analysis. JAMA Network Open. 2021;4(3):e211009. doi:10.1001/jamanetworkopen.2021.1009 PubMed DOI PMC
Chiu HY, Chen PY, Chuang LP, et al. Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: a bivariate meta-analysis. Sleep Med Rev. 2017;36:57–70. doi:10.1016/j.smrv.2016.10.004 PubMed DOI
Teng Y, Wang S, Wang N, Li M. STOP-Bang questionnaire screening for obstructive sleep apnea among Chinese patients with type 2 diabetes mellitus. Arch Med Sci. 2018;14(5):971–978. doi:10.5114/aoms.2018.73984 PubMed DOI PMC
Netzer NC, Stoohs RA, Netzer CM, Clark K, Strohl KP. Using the Berlin Questionnaire to identify patients at risk for the sleep apnea syndrome. Ann Intern Med. 1999;131(7):485–491. doi:10.7326/0003-4819-131-7-199910050-00002 PubMed DOI
Ulasli SS, Gunay E, Koyuncu T, et al. Predictive value of Berlin questionnaire and Epworth sleepiness scale for obstructive sleep apnea in a sleep clinic population. Clin Respir J. 2014;8(3):292–296. doi:10.1111/crj.12070 PubMed DOI
Kee K, Dixon J, Shaw J, et al. Comparison of commonly used questionnaires to identify obstructive sleep apnea in a high-risk population. J Clin Sleep Med. 2018;14(12):2057–2064. doi:10.5664/jcsm.7536 PubMed DOI PMC
Karakoc O, Akcam T, Genc H, Yetkin S, Piskin B, Gerek M. Use of the Berlin questionnaire to screen at-risk patients for obstructive sleep apnea. B-ENT. 2014;10(1):21–25. PMID: 24765825. PubMed
Silva GE, Vana KD, Goodwin JL, Sherrill DL, Quan SF. Identification of patients with sleep disordered breathing: comparing the four-variable screening tool, STOP, STOP-bang, and Epworth sleepiness scales. J Clin Sleep Med. 2011;7(5):467–472. doi:10.5664/JCSM.1308 PubMed DOI PMC
Johns MW. A new method for measuring daytime sleepiness: the Epworth sleepiness scale. Sleep. 1991;14(6):540–545. doi:10.1016/j.sleep.2007.08.004 PubMed DOI
Chung F, Yegneswaran B, Liao P, et al. STOP questionnaire: a tool to screen patients for obstructive sleep apnea. Anesthesiology. 2008;108(5):812–821. doi:10.1097/ALN.0b013e31816d83e4 PubMed DOI
Bernhardt L, Brady EM, Freeman SC, et al. Diagnostic accuracy of screening questionnaires for obstructive sleep apnoea in adults in different clinical cohorts: a systematic review and meta-analysis. Sleep Breath. 2022;26(3):1053–1078. doi:10.1007/s11325-021-02450-9 PubMed DOI PMC
Berry RB, Budhiraja R, Gottlieb DJ, et al. Rules for scoring respiratory events in sleep: update of the 2007 AASM manual for the scoring of sleep and associated events. J Clin Sleep Med. 2012;8(5):597–619. doi:10.5664/jcsm.2172 PubMed DOI PMC
Buysse DJ, Reynolds CF, Monk TH, Berman SR, Kupfer DJ. The Pittsburgh sleep quality index: a new instrument for psychiatric practice and research. Psychiatry Res. 1989;28(2):193–213. doi:10.1016/0165-1781(89)90047-4 PubMed DOI
Coutinho Costa J, Rebelo-Marques A, Machado JN, et al. Validation of NoSAS (Neck, Obesity, Snoring, Age, Sex) score as a screening tool for obstructive sleep apnea: analysis in a sleep clinic. Pulmonology. 2019;25(5):263–270. doi:10.1016/j.pulmoe.2019.04.004 PubMed DOI
El-Sayed IH. Comparison of four sleep questionnaires for screening obstructive sleep apnea. Egypt J Chest Dis Tuberc. 2012;61(4):433–441. doi:10.1016/j.ejcdt.2012.07.003 DOI
Hesselbacher S. Body mass index, gender, and ethnic variations alter the clinical implications of the epworth sleepiness scale in patients with suspected obstructive sleep apnea. Open Respir Med J. 2012;6(1):20–27. doi:10.2174/1874306401206010020 PubMed DOI PMC
Shrestha N. Neck circumference as an indicator of overweight and obesity in young adults. Am J Appl Math Stat. 2019;6(5):176–180. doi:10.12691/ajams-6-5-1 DOI
Verma M, Rajput M, Sahoo SS, Kaur N. Neck circumference: independent predictor for overweight and obesity in adult population. Indian J Community Med. 2017;42(4):209. doi:10.4103/ijcm.IJCM_196_16 PubMed DOI PMC
Peppard PE, Young T, Palta M, Skatrud J. Prospective study of the association between sleep-disordered breathing and hypertension. N Engl J Med. 2000;342(19):1378–1384. doi:10.1056/nejm200005113421901 PubMed DOI
Nieto FJ, Young TB, Lind BK, et al. Association of sleep-disordered breathing, sleep apnea, and hypertension in a large community-based study. JAMA. 2000;283(14):1829–1836. doi:10.1001/jama.283.14.1829 PubMed DOI
Haula TM, Puustinen J, Takala M, Holm A. Wake-up strokes are linked to obstructive sleep apnea and worse early functional outcome. Brain Behav. 2021;11(8). doi:10.1002/brb3.2284 PubMed DOI PMC
Redline S, Yenokyan G, Gottlieb DJ, et al. Obstructive sleep apnea-hypopnea and incident stroke: the sleep heart health study. Am J Respir Crit Care Med. 2010;182(2):269–277. doi:10.1164/rccm.200911-1746OC PubMed DOI PMC
Arzt M, Oldenburg O, Graml A, et al. Prevalence and predictors of sleep-disordered breathing in chronic heart failure: the SchlaHF-XT registry. ESC Hear Fail. 2022;9(6):4100–4111. doi:10.1002/ehf2.14027 PubMed DOI PMC
Solecka Š, Matler K, Kostlivý T, Kubec V, Tomášková H, Betka J. A comparison of the reliability of five sleep questionnaires for the detection of obstructive sleep apnea. Life. 2022;12(9):1416. doi:10.3390/life12091416 PubMed DOI PMC