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Figure 1. 
Distribution of nocturnal breathing pauses. AHI indicates apnea-hypopnea index.

Distribution of nocturnal breathing pauses. AHI indicates apnea-hypopnea index.

Figure 2. 
Distribution of daytime sleepiness. AHI indicates apnea-hypopnea index.

Distribution of daytime sleepiness. AHI indicates apnea-hypopnea index.

Figure 3. 
Distribution of the severity of septal deviation. For explanation of septal deviation grades, see Table. AHI indicates apnea-hypopnea index.

Distribution of the severity of septal deviation. For explanation of septal deviation grades, see Table. AHI indicates apnea-hypopnea index.

Figure 4. 
Distribution of the severity of the size of tonsils. For explanation of tonsil size severity grades, see Table. AHI indicates apnea-hypopnea index.

Distribution of the severity of the size of tonsils. For explanation of tonsil size severity grades, see Table. AHI indicates apnea-hypopnea index.

Figure 5. 
Distribution of the severity of velum position. For explanation of velum position severity grades, see Table. AHI indicates apnea-hypopnea index.

Distribution of the severity of velum position. For explanation of velum position severity grades, see Table. AHI indicates apnea-hypopnea index.

Figure 6. 
Distribution of the size of the tongue base. For explanation of tongue base size grades, see Table. AHI indicates apnea-hypopnea index.

Distribution of the size of the tongue base. For explanation of tongue base size grades, see Table. AHI indicates apnea-hypopnea index.

Table. Nasal and Pharyngeal Configuration Assessed in a Semiquantitative Manner
Nasal and Pharyngeal Configuration Assessed in a Semiquantitative Manner
1.
Gislason  TAlmqvist  MEriksson  GTaube  ABoman  G Prevalence of sleep apnea among Swedish men: an epidemiological study.  J Clin Epidemiol 1988;41571- 576PubMedGoogle ScholarCrossref
2.
Young  TPalta  MDempsey  JSkatrud  JWeber  SBadr  S The occurence of sleep-disordered breathing among middle-aged adults.  N Engl J Med 1993;3281230- 1235PubMedGoogle ScholarCrossref
3.
Viner  SSzalai  JPHoffstein  V Are history and physical examination a good screening test for sleep apnea?  Ann Intern Med 1991;115356- 359PubMedGoogle ScholarCrossref
4.
Friedman  MTanyeri  HLa Rosa  M  et al.  Clinical predictors of obstructive sleep apnea.  Laryngoscope 1999;1091901- 1907PubMedGoogle ScholarCrossref
5.
Zonato  AIBittencourt  LRMartinho  FLSantos  JFGregorio  LCTufik  S Association of systematic head and neck physical examination with severity of obstructive sleep apnea-hypopnea syndrome.  Laryngoscope 2003;113973- 980PubMedGoogle ScholarCrossref
6.
Rechtschaffen  AKales  A A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects.  Los Angeles: University of California;1973
7.
Pouliot  ZPeters  MNeufeld  HKryger  MH Using self-reported questionnaire data to prioritize OSA patients for polysomnography.  Sleep 1997;20232- 236PubMedGoogle Scholar
8.
Crocker  BDOlson  LGSaunders  NA  et al.  Estimation of the probability of disturbed breathing during sleep before a sleep study.  Am Rev Respir Dis 1990;14214- 18PubMedGoogle ScholarCrossref
9.
Flemons  WWWhitelaw  WABrant  RRemmers  JE Likelihood ratios for a sleep apnea clinical prediction rule.  Am J Respir Crit Care Med 1994;1501279- 1285PubMedGoogle ScholarCrossref
10.
Lavie  PGertner  RZomer  JPodoshin  L Breathing disorders in sleep associated with “microarousals” in patients with allergic rhinitis.  Acta Otolaryngol 1981;92529- 539PubMedGoogle ScholarCrossref
11.
McNicholas  WTTarlo  SCole  P  et al.  Obstructive apneas during sleep in patients with seasonal allergic rhinitis.  Am Rev Respir Dis 1987;1351316- 1319PubMedGoogle Scholar
12.
Miljeteig  HSavard  PMateika  SCole  PHaight  JSHoffstein  V Snoring and nasal resistance during sleep.  Laryngoscope 1993;103918- 923PubMedGoogle ScholarCrossref
13.
Atkins  MTaskar  VClayton  NStone  PWoodcok  A Nasal resistance in obstructive sleep apnea.  Chest 1994;1051133- 1135PubMedGoogle ScholarCrossref
14.
Mangat  DOrr  WCSmith  RO Sleep apnea, hypersomnolence and upper airway obstruction secondary to adenotonsillar enlargement.  Arch Otolaryngol 1977;103383- 386PubMedGoogle ScholarCrossref
15.
Orr  WCMartin  RJ Obstructive sleep apnea associated with tonsillar hypertrophy in adults.  Arch Intern Med 1981;141990- 992PubMedGoogle ScholarCrossref
16.
Pracharktam  NNelson  SHans  MG  et al.  Cephalometric assessment in obstructive sleep apnea.  Am J Orthod Dentofacial Orthop 1996;109410- 419PubMedGoogle ScholarCrossref
17.
Woodson  BTHaganuma  H Comparison of methods of airway evaluation in obstructive sleep apnea syndrome.  Otolaryngol Head Neck Surg 1999;120460- 463PubMedGoogle Scholar
18.
Sher  AEThorpy  MJShprintzen  RJSpielmann  AJBurack  BMcGregor  PA Predictive value of Müller maneuver in selection of patients for uvulopalatopharyngoplasty.  Laryngoscope 1985;951483- 1487PubMedGoogle ScholarCrossref
Original Article
February 2005

Correlation Between Otorhinolaryngologic Evaluation and Severity of Obstructive Sleep Apnea Syndrome in Snorers

Arch Otolaryngol Head Neck Surg. 2005;131(2):95-98. doi:10.1001/archotol.131.2.95
Abstract

Objectives  To examine whether medical history and nasopharyngeal examination are useful for predicting obstructive sleep apnea syndrome (OSAS) and to compare these findings with those of the gold standard, polysomnography.

Design  Patients underwent polysomnography recordings for 2 nights and an otorhinolaryngologic examination, including flexible endoscopy and the Müller maneuver. Nasal and pharyngeal findings were scored in a semiquantitative way. The medical history of each patient was taken using a standardized questionnaire. Anatomic and functional findings and patient history were correlated with the mean apnea-hypopnea index (AHI).

Setting  An otorhinolaryngologic clinic.

Patients  A total of 101 patients presenting with a primary complaint of snoring.

Main Outcome Measures  Differences between patients with OSAS and primary snorers were assessed using the Mann-Whitney test (anatomic findings), t test (Müller maneuver), and χ2 test after Pearson correlation (questionnaire). P values less than .05 were considered statistically significant.

Results  The mean ± SD AHI of the patients was 19.7 ± 21.5); 52 patients had an AHI higher than 10, which confirmed the diagnosis of OSAS. These patients tended to report the occurrence of apneas more frequently than patients with an AHI of 10 or lower. The average ranks (Mann-Whitney findings) of patients with AHIs higher than 10 vs those with AHIs of 10 or lower were 52 vs 50 for septal deviation; 50 vs 52 for tonsil size; 53 vs 49 for low velum level; and 56 vs 46 for hyperplasia of the tongue base. None of these differences reached statistical significance. Mean ± SD narrowing of the airway during the Müller maneuver was significantly (P<.05) more pronounced in patients with an AHI higher than 10 than in patients with an AHI of 10 or lower at the levels of the velum (80% ± 20% vs 68% ± 30%) and the tongue base (57% ± 24% vs 44% ± 27%).

Conclusions  None of the reported medical history and/or anatomic parameters alone or in combination could be used to distinguish patients with OSAS from snoring patients. Snoring patients, therefore, should be examined at least by a nocturnal screening test for OSAS before any therapeutic decision is made.

Snoring is one of the main symptoms of obstructive sleep apnea syndrome (OSAS). Often, patients first seek an otorhinolaryngologic (ENT) evaluation rather than presenting to a sleep center. Snoring has a prevalence of 30% to 50% in the general population, while the prevalence of OSAS is only 2% to 4%. The ENT specialist, therefore, must differentiate between these 2 entities to provide appropriate treatment.1,2 Toward this end, oxygen saturation and airflow are commonly measured with screening instruments, but polysomnography is considered the gold standard for diagnosis of OSAS. However, both techniques are cumbersome. Thus, it would be useful to have a simple tool for predicting OSAS based on history and physical examination.

In populations with suspected sleep apnea, physical features may be predictive of OSAS severity,3-5 but it is not known whether physical examination can be used to distinguish patients with OSAS in a group of patients who present to an ENT clinic with a chief complaint of snoring. Our aim was therefore to assess the predictive power of history and routine physical examination as performed by an ENT specialist to identify OSAS in patients seeking treatment for snoring.

Methods

We evaluated 101 patients who presented to an ENT clinic with a chief complaint of snoring (88 men, 13 women; mean ± SD age, 54.7 ± 11.6 years; body mass index, calculated as weight in kilograms divided by the square of height in meters, 28.6 ± 4.6). Informed consent was obtained from all patients according to the Declaration of Helsinki. The patients completed a 20-question questionnaire routinely used in our clinic to obtain information about their symptoms and medical history. Three questions from the questionnaire, 1 each concerning excessive daytime sleepiness (EDS), snoring, and self-reported apneic events, which had to be answered yes or no, were evaluated for this study. We did not use more extensive measures of EDS, such as the Epworth Sleepiness Scale, because we wanted our study to reflect the realistic time constraints of routine examination.

Nasal and pharyngeal configurations were assessed in a semiquantitative manner (Table). Each patient underwent the Müller maneuver while in a 45° recumbent position to estimate the degree of obstruction at the base of the tongue and at the velum. The findings of the ENT examinations were scored in agreement by 2 examiners (A.D. and R. de la C.). Following the routine examination, all patients underwent standard polysomnography recordings, including electroencephalogram, electrooculogram, submental and tibial superficial electromyogram, and measurements of nasal-oral airflow, thoracic and abdominal respiratory effort, snoring, oxygen saturation, and body position using a digital electroencephalograph (Schwarzer, Munich, Germany).

Patients were monitored for 2 nights, but only the second night was analyzed to allow for the first-night effect. Sleep stages were scored based on the criteria set out by Rechtschaffen and Kales.6 Total sleep time as well as percentages of sleep stages were calculated. A respiratory event had to be of at least 10 seconds’ duration and was classified as an apnea if there was a 90% reduction in airflow and as a hypopnea if there was a 50% reduction in airflow combined with at least a 4% oxygen desaturation. Apneas and hypopneas were combined to calculate the apnea-hypopnea index (AHI). An AHI higher than 10 indicated OSAS.

Anatomic and functional findings and patient history were correlated with the AHI. Differences between patients with OSAS and primary snorers were assessed using the Mann-Whitney test (anatomic findings), t test (Müller maneuver), and χ2 test after Pearson correlation (questionnaire). P values less than .05 were considered statistically significant.

Results

The mean ± SD total sleep time for the 101 patients was 404 ± 63 minutes. Patients spent a mean ± SD of 14.5% ± 13.5% of time in stage 1 sleep, 56.5% ± 10.9% in stage 2 sleep, 9.5% ± 9% in stage 3 sleep, 3.9% ± 6.6% in stage 4 sleep, and 18.3% ± 6.3% in rapid-eye-movement sleep. The mean ± SD AHI of the 101 patients was 19.7 ± 21.5; 52 patients had an AHI higher than 10 (classified as patients with OSAS); 49 patients had an AHI of 10 or lower (classified as primary snorers).

Based on the questionnaire, all patients complained of snoring; 72% reported nocturnal breathing pauses; and 61% complained of EDS. There were no significant differences between the number of patients with an AHI higher than 10 (OSAS) and those with an AHI of 10 or lower (snorers) who reported either nocturnal breathing pauses (Figure 1) or EDS (Figure 2). The results of the physical examination for the patients with OSAS and primary snorers are compared in Figure 3, Figure 4, Figure 5, and Figure 6. The mean ranks (Mann-Whitney test) of patients with OSAS vs snorers were as follows: septal deviation, 52 vs 50; tonsil size, 50 vs 52; velum level, 53 vs 49; and size of tongue base, 56 vs 46. There were no significant differences between the patients with OSAS and the snorers based on physical examination. Patients with OSAS had a significantly greater reduction in mean ± SD airway diameter than snorers (t test, P<.05) during the Müller maneuver at the velar level (80% ± 20% vs 68% ± 30%) and at the tongue base level (57% ± 24% vs 44% ± 27%).

Comment

The significance of patient history for detection of OSAS is controversial. In a study of 354 patients with possible OSAS, Pouliot et al7 predicted that patients with an Epworth Sleepiness Scale score of less than 12 and a body mass index lower than 28 would not have OSAS. Only 2 of 33 patients fulfilling those above criteria had OSAS, meaning that Pouilot’s et al prediction was correct in 31 patients. However, neither Crocker et al8 nor Viner et al3 could confirm any positive predictive value of reported daytime sleepiness. The present study also shows no significant predictive value of subjectively reported daytime sleepiness in patients with OSAS compared with snorers.

Flemons et al9 found a significant difference between patients with OSAS and asymptomatic controls in their history of breathing pauses and snoring. Crocker et al8 also found a higher incidence of reported nocturnal breathing pauses in patients with OSAS than in controls. However, in the present study, we did not find a significant correlation between reported breathing pauses and the presence or absence of OSAS. These differences may be a consequence of different study populations. Only 64% and 79% of patients complained of snoring in the studies by Flemons et al9 and Crocker et al,8 respectively, while the primary complaint of all our patients was snoring. Therefore, it seems that questions concerning daytime sleepiness, fatigue, or reported apneas are not able to distinguish between snorers and snorers with OSAS.

The influence of nasal obstruction in OSAS is controversial: While Lavie et al10 and McNicholas et al11 found a positive correlation between nasal obstruction and AHI, such a correlation was refuted by Miljeteig et al12 and Atkins et al.13 The results of the present study support the latter findings. Enlarged tonsils can cause OSAS, and surgical removal usually results in a cure.14,15 Friedman et al4 found a positive correlation between tonsillary enlargement and presence of OSAS. Our study, however, was unable to confirm such a correlation in that the mean age of our study population was 55 years, and tonsillary hypertrophy was rare.

A low-set soft palate was found more frequently in patients with OSAS than in snorers in our study, although the difference was not significant. These characteristics of the palate in patients with OSAS were described earlier in cephalometric studies.16 Friedman et al4 and Zonato et al5 found a significant positive correlation between a low-set soft palate and OSAS, but Woodson and Haganuma,17 reporting results similar to ours, did not find a significant association. These results show that although a low-set soft palate may be commonly found in patients with OSAS, it is not a sufficient predictor of OSAS.

Base of tongue hypertrophy has also been found to be predictive of OSAS, as confirmed in studies using cephalometrics.16 However, the present study and Woodson and Haganuma17 did not find a significant positive correlation between tongue base hypertrophy, assessed by physical examination, and AHI.

The Müller maneuver has been validated by Sher et al18 as a functional examination to select patients for uvulopalatopharyngoplasty.18 As the only statistically significant finding, we confirmed a positive correlation between the degree of obstruction and presence of OSAS. However, the Müller maneuver is performed on an awake patient and heavily depends on the patient’s cooperation, which may explain why neither Woodson and Haganuma17 nor Friedman et al4 found a positive correlation between performance on the Müller maneuver and the presence of OSAS.

In contrast to our findings, Viner et al,3 Friedman et al,4 and Zonato et al5 concluded that it is possible to identify patients with OSAS based on history and/or anatomic findings. What are the reasons for these different results and conclusions? In general, all of the measurements described herein concerning the size of the tonsils or the shape of the palate have a subjective component, which makes it difficult to compare the results of different investigators. Digital picture analysis might provide more consistent results in the future. In addition, our patient population was different from that used in previous studies in several aspects: while other study populations were composed of about 90% snorers, all of our patients were snorers who primarily sought therapy for snoring. Also, the other study populations were preselected regarding suspected OSAS. In the study by Friedman et al,4 for example, 400 patients had to complete a questionnaire concerning daytime sleepiness and other symptoms of OSAS; 260 of these patients were suspected of having OSAS, and only 172 finally underwent polysomnography. Also, the anatomic findings were different between studies. In contrast to the findings of Friedman et al,4 tonsillary hyperplasia was rare in our population, possibly because the patients in our study were slightly older.

Different statistical methods might also have contributed to different findings between studies. Most authors used the Pearson product moment correlation coefficient for comparing anatomic findings and the AHI. This analysis presupposes that the intervals between the grades for tonsil size, for example, are equal, which, in our opinion, is not the case. Therefore, we used the Mann-Whitney test to compare the average ranks of simply snorers and snorers with OSAS. These factors may explain why we did not find any predictive value for OSAS with the methods applied (except weakly for the Müller maneuver).

We also doubt that the physical examination correlations found by Viner et al3 (specificity of 28% and sensitivity of 94%) and Friedman et al4 (positive predictive value of 90%, negative predictive value of 67%) are adequate to predict OSAS. In our opinion, all patients seeking treatment for snoring should be screened overnight using a device measuring at least oxygen saturation and airflow. If the results are suggestive of OSAS, or if patients complain of EDS, standard polysomnography should be applied. In conclusion, we believe that medical history, anatomic findings, and functional factors are insufficient to adequately predict the presence or absence of OSAS.

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Article Information

Correspondence: Alfred Dreher, MD, Department of Otorhinolaryngology, Klinikum Großhadern, Marchioninistr 15, 81377 Munich, Germany (dreher@ithnet.com).

Submitted for Publication: August 18, 2004; accepted November 1, 2004.

References
1.
Gislason  TAlmqvist  MEriksson  GTaube  ABoman  G Prevalence of sleep apnea among Swedish men: an epidemiological study.  J Clin Epidemiol 1988;41571- 576PubMedGoogle ScholarCrossref
2.
Young  TPalta  MDempsey  JSkatrud  JWeber  SBadr  S The occurence of sleep-disordered breathing among middle-aged adults.  N Engl J Med 1993;3281230- 1235PubMedGoogle ScholarCrossref
3.
Viner  SSzalai  JPHoffstein  V Are history and physical examination a good screening test for sleep apnea?  Ann Intern Med 1991;115356- 359PubMedGoogle ScholarCrossref
4.
Friedman  MTanyeri  HLa Rosa  M  et al.  Clinical predictors of obstructive sleep apnea.  Laryngoscope 1999;1091901- 1907PubMedGoogle ScholarCrossref
5.
Zonato  AIBittencourt  LRMartinho  FLSantos  JFGregorio  LCTufik  S Association of systematic head and neck physical examination with severity of obstructive sleep apnea-hypopnea syndrome.  Laryngoscope 2003;113973- 980PubMedGoogle ScholarCrossref
6.
Rechtschaffen  AKales  A A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects.  Los Angeles: University of California;1973
7.
Pouliot  ZPeters  MNeufeld  HKryger  MH Using self-reported questionnaire data to prioritize OSA patients for polysomnography.  Sleep 1997;20232- 236PubMedGoogle Scholar
8.
Crocker  BDOlson  LGSaunders  NA  et al.  Estimation of the probability of disturbed breathing during sleep before a sleep study.  Am Rev Respir Dis 1990;14214- 18PubMedGoogle ScholarCrossref
9.
Flemons  WWWhitelaw  WABrant  RRemmers  JE Likelihood ratios for a sleep apnea clinical prediction rule.  Am J Respir Crit Care Med 1994;1501279- 1285PubMedGoogle ScholarCrossref
10.
Lavie  PGertner  RZomer  JPodoshin  L Breathing disorders in sleep associated with “microarousals” in patients with allergic rhinitis.  Acta Otolaryngol 1981;92529- 539PubMedGoogle ScholarCrossref
11.
McNicholas  WTTarlo  SCole  P  et al.  Obstructive apneas during sleep in patients with seasonal allergic rhinitis.  Am Rev Respir Dis 1987;1351316- 1319PubMedGoogle Scholar
12.
Miljeteig  HSavard  PMateika  SCole  PHaight  JSHoffstein  V Snoring and nasal resistance during sleep.  Laryngoscope 1993;103918- 923PubMedGoogle ScholarCrossref
13.
Atkins  MTaskar  VClayton  NStone  PWoodcok  A Nasal resistance in obstructive sleep apnea.  Chest 1994;1051133- 1135PubMedGoogle ScholarCrossref
14.
Mangat  DOrr  WCSmith  RO Sleep apnea, hypersomnolence and upper airway obstruction secondary to adenotonsillar enlargement.  Arch Otolaryngol 1977;103383- 386PubMedGoogle ScholarCrossref
15.
Orr  WCMartin  RJ Obstructive sleep apnea associated with tonsillar hypertrophy in adults.  Arch Intern Med 1981;141990- 992PubMedGoogle ScholarCrossref
16.
Pracharktam  NNelson  SHans  MG  et al.  Cephalometric assessment in obstructive sleep apnea.  Am J Orthod Dentofacial Orthop 1996;109410- 419PubMedGoogle ScholarCrossref
17.
Woodson  BTHaganuma  H Comparison of methods of airway evaluation in obstructive sleep apnea syndrome.  Otolaryngol Head Neck Surg 1999;120460- 463PubMedGoogle Scholar
18.
Sher  AEThorpy  MJShprintzen  RJSpielmann  AJBurack  BMcGregor  PA Predictive value of Müller maneuver in selection of patients for uvulopalatopharyngoplasty.  Laryngoscope 1985;951483- 1487PubMedGoogle ScholarCrossref
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