A novel approach to prediction of mild obstructive sleep disordered breathing in a population-based sample: The sleep heart health study

Sleep

Volumn 33, Issue 12, 2010, Pages 1641-1648

  Caffo, Brian ^a   Diener West, Marie ^a   Punjabi, Naresh M ^a   Samet, Jonathan ^b  

^a JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

Author keywords

Machine learning; Prediction; Sleep apnea; Sleep disorders; Variable importance

Indexed keywords

ADULT; AGE DISTRIBUTION; ALGORITHM; ARTICLE; BODY MASS; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; NECK; PREDICTION; PREDICTOR VARIABLE; PRIORITY JOURNAL; PROBABILITY; SENSITIVITY AND SPECIFICITY; SLEEP DISORDERED BREATHING; SNORING; VALIDATION STUDY; WAIST CIRCUMFERENCE;

EID: 78649865572     PISSN: 01618105     EISSN: 15509109     Source Type: Journal    
DOI: 10.1093/sleep/33.12.1641     Document Type: Article

References (37)

1. Punjabi NM, Caffo BS, Goodwin DJ, et al. Sleep-disordered breathing and mortality: a prospective cohort study. PLOS Med 2009;6:e1000132.
2. CBS News (Producer). (August 18, 2009, 5:15 AM) Deadly Sleep Apnea [video file]. Retrieved from http://www.cbsnews.com/video/watch/?id=5248692n.
3. Quan SF, Howard BV, Iber C, et al. The Sleep Heart Health Study: design, rationale, and methods. Sleep 1997;20:1077-85.
4. Hastie TJ, Tibshirani R, Friedman J. The elements of statistical learning: Data mining, inference, and prediction. New York: Springer, 2001.
5. Deegan PC, McNicholas WT. Predictive value of clinical features for the obstructive sleep apnoea syndrome. Eur Respir J 1996; 9:117-124.
6. Friedman M, Tanyeri H, La Rosa M, et al. Clinical predictors of obstructive sleep apnea. Laryngoscope 1999;109:1901-7.
7. Young T, Shahar E, Nieto FJ, et al. Predictors of sleep-disordered breathing in community-dwelling adults: the Sleep Heart Health Study. Arch Intern Med 2002;162:893-900. (Pubitemid 34299121)
8. Redline S, Schluchter MD, Larkin EK, Tishler PV. Predictors of longitudinal change in sleep-disordered breathing in a nonclinic population. Sleep 2003;26:703-9.
9. Harding SM. Prediction formulae for sleep-disordered breathing. Curr Opin Pulm Med 2001;7:381-5.
10. Kirby SD, Eng P, Danter W, et al. Neural network prediction of obstructive sleep apnea from clinical criteria. Chest 1999;116:409-15.
11. Rowley JA, Aboussouan LS, Badr MS. The use of clinical prediction formulas in the evaluation of obstructive sleep apnea. Sleep 2000;23:929-38.
12. Zerah-Lancner F, Lofaso F, d'Ortho MP, et al. Predictive value of pulmonary function parameters for sleep apnea syndrome. Am J Respir Crit Care Med 2000;162:2208-12. (Pubitemid 32051688)
13. Sharma SK, Kurian S, Malik V, et al. A stepped approach for prediction of obstructive sleep apnea in overtly asymptomatic obese subjects: a hospital based study. Sleep Med 2004;5:351-7.
14. Dixon JB, Schachter LM, O'Brien PE. Predicting sleep apnea and excessive day sleepiness in the severely obese: indicators for polysomnography. Chest 2003;123:1134-41.
15. Chervin RD, Weatherly RA, Garetz SL, et al. Pediatric sleep questionnaire: prediction of sleep apnea and outcomes. Arch Otolaryngol Head Neck Surg 2007;133:216-22.
16. Santaolalla MF, Iriondo B Jr, Aguirre LU, Martinez IA, Sanchez Del RA, Sanchez Fernandez JM. The predictive value of clinical and epidemiological parameters in the identification of patients with obstructive sleep apnoea (OSA): a clinical prediction algorithm in the evaluation of OSA. Eur Arch Otorhinolaryngol 2007;264:637-43.
17. 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;131:485-91.
18. Gottlieb DJ, Yao Q, Redline S, Ali T, Mahowald MW. Does snoring predict sleepiness independently of apnea and hypopnea frequency? Am J Respir Crit Care Med 2000;162:1512-17.
19. Redline S, Sanders MH, Lind BK, et al. Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group. Sleep 1998;21:759-67.
20. Stradling JR, Crosby JH. Predictors and prevalence of obstructive sleep apnoea and snoring in 1001 middle aged men. Thorax 1991;46:85-90.
21. Young T, Palta M, Dempsey J, Skatrud J, Weber S, Badr S. The occurrence of sleep-disordered breathing among middle-aged adults. N Engl J Med 1993;328:1230-5.
22. Nieto FJ, Young T, Lind B, et al. Association of sleep-disordered breathing, sleep apnea, and hypertension in a large community-based study. JAMA 2000;283:1829-36.
23. Kripke D, Ancoli-Israel S, Klauber M, Wingard D, Mason W, Mullaney D. Prevalence of sleep-disordered breathing in ages 40-64 years: a population-based survey. Sleep 1997;20:65-76.
24. Shahar E, Whitney CW, Redline S, et al. Sleep-disordered breathing and cardiovascular disease: cross-sectional results of the Sleep Heart Health Study. Am J Respir Crit Care Med 2001;163:19-25. (Pubitemid 32095247)
25. Olson LG, King MT, Hensley MJ, Saunders NA. A community study of snoring and sleep-disordered breathing: prevalence. Am J Resp Crit Care Med 1995;152:711-6.
26. Young T, Finn L, Kim H. Nasal obstruction as a risk factor for sleep-disordered breathing. The University of Wisconsin Sleep and Respiratory Research Group. J Allergy Clin Immunol 1997;99:S757-S762.
27. Peppard PE, Young T, Palta M, Dempsey J, Skatrud J. Longitudinal study of moderate weight change and sleep-disordered breathing. JAMA 2000;284:3015-21.
28. Young T, Peppard P, Palta M, et al. Population-based study of sleep-disordered breathing as a risk factor for hypertension. Arch Intern Med 1997;157:1746-52.
29. Breiman L. Random forests. Mach Learn 2001;45:5-32.
30. Freund Y. Boosting a weak learning algorithm by majority. Information and Computation 1995;121:256-85.
31. Dietterich TG. Ensemble learning. In: Arbib MA, editor. The handbook of brain theory and neural networks. Cambridge, MA: MIT Press, 2002.
32. Redline S, Sanders MH, Lind BK, et al. Methods for obtaining and analyzing unattended polysomnography data for a multicenter study. Sleep Heart Health Research Group. Sleep 1998; 21:759-67.
33. Ihaka R, Gentleman R. A language for data analysis and graphics. J Comput Graph Stat 1996; 5:299-314.
34. Pepe MS. The statistical evaluation of medical tests for classification and prediction. New York: Oxford University Press, 2003.
35. Metz CE. Basic principles of ROC analysis. Semin Nucl Med 1978; 8:283-298.
36. Pillar G, Peled N, Katz N, Lavie P. Predictive value of specific risk factors, symptoms and signs, in diagnosing obstructive sleep apnoea and its severity. J Sleep Res 1994; 3:241-244.
37. Quan SF, Griswold ME, Iber C, et al. Short-term variablility of respiration and sleep during unattended nonlaboratory polysomnogaphy - the Sleep Heart Health Study. Sleep 2002; 25:843-849.