Screening for obstructive sleep apnea in veterans with ischemic heart disease using a computer-based clinical decision-support system

Clinical Research in Cardiology

Volumn 101, Issue 9, 2012, Pages 737-744

  Laporta, Rachel ^a   Anandam, Anil ^b   El Solh, Ali A ^a,b  

^a VA WESTERN NEW YORK HEALTHCARE SYSTEM   (United States)

^b UNIVERSITY AT BUFFALO   (United States)

Author keywords

Neural network; Questionnaire; Screening; Sleep apnea

Indexed keywords

AGED; ARTICLE; CLINICAL DECISION MAKING; CLINICAL DECISION SUPPORT SYSTEM; COMPUTER ASSISTED DIAGNOSIS; COMPUTER PROGRAM; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; HUMAN; INTERVIEW; ISCHEMIC HEART DISEASE; MAJOR CLINICAL STUDY; MALE; POLYSOMNOGRAPHY; QUESTIONNAIRE; SCREENING TEST; SENSITIVITY AND SPECIFICITY; SLEEP APNEA SYNDROME; VETERANS HEALTH;

AGED; AGED, 80 AND OVER; COMPUTERS, HANDHELD; DECISION SUPPORT SYSTEMS, CLINICAL; HUMANS; MALE; MASS SCREENING; MIDDLE AGED; MYOCARDIAL ISCHEMIA; POLYSOMNOGRAPHY; PROSPECTIVE STUDIES; QUESTIONNAIRES; SLEEP APNEA, OBSTRUCTIVE; VETERANS;

EID: 84866105433     PISSN: 18610684     EISSN: 18610692     Source Type: Journal    
DOI: 10.1007/s00392-012-0453-1     Document Type: Article

References (40)

1. Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S (1993) The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 328(17):1230-1235. doi: 10.1056/NEJM199304293281704 (Pubitemid 23115702)
2. Jain V (2007) Clinical perspective of obstructive sleep apnea-induced cardiovascular complications. Antioxid Redox Signal 9(6):701-710. doi: 10.1089/ars.2007.1558 (Pubitemid 46799102)
3. Dempsey JA, Veasey SC, Morgan BJ, O'Donnell CP (2010) Pathophysiology of sleep apnea. Physiol Rev 90(1):47-112. doi: 10.1152/physrev.00043.2008
4. Borgel J, Springer S, Ghafoor J, Arndt D, Duchna HW, Barthel A, Werner S, Van Helden J, Hanefeld C, Neubauer H, Bulut D, Mugge A (2010) Unrecognized secondary causes of hypertension in patients with hypertensive urgency/emergency: prevalence and co-prevalence. Clin Res Cardiol 99(8):499-506. doi: 10.1007/s00392-010-0148-4
5. Somers VK, White DP, Amin R, Abraham WT, Costa F, Culebras A, Daniels S, Floras JS, Hunt CE, Olson LJ, Pickering TG, Russell R, Woo M, Young T (2008) 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 Clinical Cardiology, Stroke Council, and Council on Cardiovascular Nursing in Collaboration with the National Heart, Lung, and Blood Institute National Center on Sleep Disorders Research (National Institutes of Health). Circulation 118(10):1080-1111. doi: 10.1161/circulationaha.107.189420
6. Altekin RE, Yanikoglu A, Karakas MS, Ozel D, Kucuk M, Yilmaz H, Demir I (2012) Assessment of left atrial dysfunction in obstructive sleep apnea patients with the two dimensional speckle-tracking echocardiography. Clin Res Cardiol. doi: 10.1007/s00392-011-0404-2
7. 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. doi: 10.1016/S0140-6736(05)71141-7 (Pubitemid 40386782)
8. Haentjens P, Van Meerhaeghe A, Moscariello A, De Weerdt S, Poppe K, Dupont A, Velkeniers B (2007) The impact of continuous positive airway pressure on blood pressure in patients with obstructive sleep apnea syndrome: evidence from a meta-analysis of placebo-controlled randomized trials. Arch Intern Med 167(8):757-764. doi: 10.1001/archinte.167.8.757 (Pubitemid 46658332)
9. Alajmi M, Mulgrew AT, Fox J, Davidson W, Schulzer M, Mak E, Ryan CF, Fleetham J, Choi P, Ayas NT (2007) Impact of continuous positive airway pressure therapy on blood pressure in patients with obstructive sleep apnea hypopnea: a meta-analysis of randomized controlled trials. Lung 185(2):67-72. doi: 10.1007/s00408-006-0117-x (Pubitemid 46571874)
10. Tasci S, Manka R, Scholtyssek S, Lentini S, Troatz C, Stoffel-Wagner B, Luderitz B (2006) NT-pro-BNP in obstructive sleep apnea syndrome is decreased by nasal continuous positive airway pressure. Clin Res Cardiol 95(1):23-30. doi: 10.1007/s00392-006-0315-9 (Pubitemid 43155312)
11. Prinz C, Bitter T, Piper C, Horstkotte D, Faber L, Oldenburg O (2010) Sleep apnea is common in patients with coronary artery disease. Wien Med Wochenschr 160(13-14):349-355. doi: 10.1007/s10354-009-0737-x
12. Martinez D, da Silva RP, Klein C, Fiori CZ, Massierer D, Cassol CM, Bos AJ, Gus M (2011) High risk for sleep apnea in the Berlin questionnaire and coronary artery disease. Sleep Breath. doi: 10.1007/s11325-010-0460-2
13. de Jesus Danzi-SoaresN, Genta PR, Nerbass FB, Pedrosa RP, Soares FS, Cesar LA, Drager LF, Skomro R, Lorenzi-Filho G (2012) Obstructive sleep apnea is common among patients referred for coronary artery bypass grafting and can be diagnosed by portable monitoring. Coron Artery Dis 23(1):31-38. doi: 10.1097/MCA.0b013e32834df5d0
14. Drager LF, Genta PR, Pedrosa RP, Nerbass FB, Gonzaga CC, Krieger EM, Lorenzi-Filho G (2010) Characteristics and predictors of obstructive sleep apnea in patients with systemic hypertension. Am J Cardiol 105(8):1135-1139. doi: 10.1016/j.amjcard.2009.12.017
15. Arzt M, Young T, Peppard PE, Finn L, Ryan CM, Bayley M, Bradley TD (2010) Dissociation of obstructive sleep apnea from hypersomnolence and obesity in patients with stroke. Stroke 41(3):e129-e134. doi: 10.1161/STROKEAHA.109.566463
16. Hoffstein V, Szalai JP (1993) Predictive value of clinical features in diagnosing obstructive sleep apnea. Sleep 16(2):118-122 (Pubitemid 23060477)
17. Maislin G, Pack AI, Kribbs NB, Smith PL, Schwartz AR, Kline LR, Schwab RJ, Dinges DF (1995) A survey screen for prediction of apnea. Sleep 18(3):158-166
18. 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
19. 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. doi: 10.1097/ALN.0b013e31816d83e4 (Pubitemid 351589476)
20. Takegami M, Hayashino Y, Chin K, Sokejima S, Kadotani H, Akashiba T, Kimura H, Ohi M, Fukuhara S (2009) Simple four-variable screening tool for identification of patients with sleep-disordered breathing. Sleep 32(7):939-948
21. Viner S, Szalai JP, Hoffstein V (1991) Are history and physical examination a good screening test for sleep apnea? Ann Intern Med 115(5):356-359
22. 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 (Pubitemid 29482391)
23. 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. doi: 10.1007/s11325-007-0125-y
24. Grol R, Grimshaw J (2003) From best evidence to best practice: effective implementation of change in patients' care. Lancet 362(9391):1225-1230. doi: 10.1016/S0140-6736(03)14546-1 (Pubitemid 37255352)
25. El-Solh AA, Mador MJ, Ten-Brock E, Shucard DW, Abul-Khoudoud M, Grant BJ (1999) Validity of neural network in sleep apnea. Sleep 22(1):105-111 (Pubitemid 29097904)
26. Baxt WG (1991) Use of an artificial neural network for the diagnosis of myocardial infarction. Ann Intern Med 115(11):843-848
27. Rechtschaffen A, Kales A (eds) (1968) A manual of standardized terminology, techniques and scoring system of sleep stages of human subjects. US Government Printing Office, Washington DC, NIH publication 204
28. Pendlebury ST, Pepin JL, Veale D, Levy P (1997) Natural evolution of moderate sleep apnoea syndrome: significant progression over a mean of 17 months. Thorax 52(10):872-878 (Pubitemid 27473929)
29. Ancoli-Israel S, Kripke DF (1991) Prevalent sleep problems in the aged. Biofeedback Self Regul 16(4):349-359
30. Kreis P, Kripke DF, Ancoli-Israel S (1983) Sleep apnea: a prospective study. West J Med 139(2):171-173 (Pubitemid 13041983)
31. Flemons WW, Douglas NJ, Kuna ST, Rodenstein DO, Wheatley J (2004) Access to diagnosis and treatment of patients with suspected sleep apnea. Am J Respir Crit Care Med 169(6):668-672. doi: 10.1164/rccm.200308-1124PP (Pubitemid 38338917)
32. Vanderveken OM, Boudewyns A, Ni Q, Kashyap B, Verbraecken J, De Backer W, Van de Heyning P (2011) Cardiovascular implications in the treatment of obstructive sleep apnea. J Cardiovasc Transl Res 4(1):53-60. doi: 10.1007/s12265-010-9238-y
33. Strauss RS, Browner WS (2000) Risk for obstructive sleep apnea. Ann Intern Med 132(9):758-759
34. Gami AS, Pressman G, Caples SM, Kanagala R, Gard JJ, Davison DE, Malouf JF, Ammash NM, Friedman PA, Somers VK (2004) Association of atrial fibrillation and obstructive sleep apnea. Circulation 110(4):364-367. doi: 10.1161/01.CIR.0000136587.68725.8E (Pubitemid 38993843)
35. Sagaspe P, Leger D, Taillard J, Bayon V, Chaumet G, Philip P (2010) Might the Berlin Sleep Questionnaire applied to bed partners be used to screen sleep apneic patients? Sleep Med 11(5):479-483. doi: 10.1016/j.sleep.2010.01.007
36. Wiggins CL, Schmidt-Nowara WW, Coultas DB, Samet JM (1990) Comparison of self- and spouse reports of snoring and other symptoms associated with sleep apnea syndrome. Sleep 13(3):245-252 (Pubitemid 20179946)
37. Hirose H, Takayama T, Hozawa S, Hibi T, Saito I (2011) Prediction of metabolic syndrome using artificial neural network system based on clinical data including insulin resistance index and serum adiponectin. Comput Biol Med 41(11):1051-1056. doi: 10.1016/j.compbiomed.2011.09.005
38. Trtica-Majnaric L, Zekic-Susac M, Sarlija N, Vitale B (2010) Prediction of influenza vaccination outcome by neural networks and logistic regression. J Biomed Inform 43(5):774-781. doi: 10.1016/j.jbi.2010.04.011
39. Pasomsub E, Sukasem C, Sungkanuparph S, Kijsirikul B, Chantratita W (2010) The application of artificial neural networks for phenotypic drug resistance prediction: evaluation and comparison with other interpretation systems. Jpn J Infect Dis 63(2):87-94
40. Siristatidis CS, Chrelias C, Pouliakis A, Katsimanis E, Kassanos D (2010) Artificial neural networks in gynaecological diseases: current and potential future applications. Med Sci Monit 16(10):RA231-RA236