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American Journal of Respiratory and Critical Care Medicine Vol 165. pp. 1499-1503, (2002)
© 2002 American Thoracic Society


Original Article

Utility of Noninvasive Pharyngometry in Epidemiologic Studies of Childhood Sleep-disordered Breathing

Kenneth J. Monahan, Emma K. Larkin, Carol L. Rosen, Gregory Graham and Susan Redline

Departments of Internal Medicine and Pediatrics, Case Western Reserve University, University Hospitals of Cleveland; and Rainbow Babies and Children's Hospital, Cleveland, Ohio

Correspondence and requests for reprints should be addressed to Susan Redline, Department of Pediatrics, Rainbow Babies and Children's Hospital, 11100 Euclid Avenue, Cleveland, OH 44106. E-mail: sxr15{at}po.cwru.edu


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Measurement of pharyngeal dimensions may contribute to the characterization of anatomic risk factors for sleep-disordered breathing (SDB) in children. Acoustic pharyngometry, a noninvasive method, has been used successfully in adults, but application in children has been limited. We sought to evaluate the feasibility and utility of this technique in children, including assessment of the variation of pharyngeal measurements with height, sex, ethnicity, prematurity, and indices of SDB. Subjects were drawn from a large, community-based cohort of children of age 8–11 years. Demographic, morphologic, and sleep-related information were collected via standard questionnaires, direct measurement, and home cardiorespiratory monitoring during sleep. Pharyngeal dimensions were assessed in 203 children using acoustic pharyngometry performed with an optimized mouthpiece. In this sample, the coefficient of variation of minimum pharyngeal cross-sectional area (CSA) and mean CSA were similar to those in adults (8.0 and 11.1%, respectively). The minimum CSA, but not mean CSA, was significantly reduced in preterm children, habitual snorers, and children with SDB relative to unaffected children. Thus, minimum CSA is a useful measure for evaluating SDB risk factors in preadolescent children.

Key Words: acoustic pharyngometry • habitual snoring • sleep-disordered breathing


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Sleep-disordered breathing (SDB) is a complex, chronic disease that is expressed after a given threshold level of susceptibility is exceeded. Susceptibility relates to the propensity for repetitive upper airway collapse. In any given individual, anatomic and neuromuscular factors that influence upper airway size and/or function determine this propensity. In adults, the strongest risk factors for SDB are obesity and male sex (1). In children, adenotonsillar hypertrophy and major craniofacial anomalies are considered to be important risk factors for SDB (2, 3). However, the relative contribution of craniofacial morphologic (hard and soft tissue) features to SDB susceptibility has not been well-defined in children. Reduced pharyngeal cross-sectional area (CSA) may be a final common pathway by which genetic and other factors impact the development of SDB.

Acoustic pharyngometry, a noninvasive technique, has been used to assess pharyngeal size and compliance in adult snorers with and without SDB (47). These studies showed that snorers had smaller CSA, regardless of apnea–hypopnea index (AHI), and that those with SDB (defined by an elevated AHI) exhibited higher pharyngeal compliance (as measured by fractional change of pharyngeal area with varying mouth pressure), a marker of susceptibility to collapse (4, 5). These studies also suggested that the acoustic pharyngometry technique is reasonably precise. In adults, intrasubject variability of pharyngometric measures was reported as less than 10% (5, 6). Similar data in children are not available, and the contribution of reduced pharyngeal CSA to SDB has not been quantified in the pediatric population.

The paucity of data that address risk factors, outcomes, and the natural history of SDB in children has led to a recent interest in epidemiologic studies of pediatric SDB. Studies of large samples of children require reliable, noninvasive tools that provide discriminative or predictive information. As part of the Cleveland Children's Sleep and Health Study (CCSHS), we collected pharyngometry data, using the acoustic reflection technique, on a well-defined cohort of children born in the Cleveland area between 1988 and 1993. Using concurrently collected demographic, upper airway, and home sleep study data, we aimed to (1) evaluate the utility of using acoustic pharyngometry to characterize upper airway dimensions in children with and without SDB and (2) characterize the variation of pharyngeal dimensions with demographic, anthropometric, and sleep-related variables.


    METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Details on definitions, measurements, and scoring of respiratory events can be found in the online data supplement.

Study Sample and Data Acquisition
The CCSHS is an ongoing epidemiologic study of risk factors and consequences of SDB in children aged 8–11 years. The sample was assembled as a birth cohort of children born between 1988 and 1993 at three Cleveland hospitals, identified by stratified random sampling from birth records to enroll equal numbers of preterm and full-term children (8). Children with known severe neurologic handicaps were excluded from analyses.

Demographic and medical data were assessed with the Children's Health Questionnaire, a pediatric modification of a validated instrument (9). Height and weight were measured by trained research personnel. Tonsillar size was noted on a 5-point scale (10). Overnight cardiorespiratory monitoring during sleep included recording of thoracic and abdominal excursions, estimated tidal volume (by inductance plethysmography) (11, 12), pulse oximetry, heart rate (bipolar electrocardiography leads), and body position (PT-2 system; SensorMedics, Yorba Linda, CA).

Pharyngometry Measurements
Pharyngometry data were collected the day before the sleep study, usually in the child's home, using the EccoVision Acoustic Pharyngometer (E. Benson Hood Laboratories, Pembroke, MA). This system has been used in adults to measure pharyngeal CSA (4, 13). Each measurement consists of a plot of CSA (square centimeters) as a function of distance (centimeter) from the oral cavity. Estimates of mean and minimal pharyngeal CSA are derived. For each subject, a baseline curve was obtained using nasal breathing. Subsequent measurements were obtained using oral breathing (nares clamped) at functional residual capacity. Attempts were made to get at least three "high quality" curves that exhibit characteristics seen on a reference diagram (see online data supplement), namely a well-defined oral cavity segment between 0–5 cm, a distinct oropharyngeal segment, and no evidence of tongue occlusion or leak. Curves without obvious artifacts but that did not meet the criteria for high quality, were considered "indeterminate" and excluded from analyses.

To adapt the device to children, a customized pediatric mouthpiece was introduced partway through the study and was used for testing the last 60% of the sample (n = 374). The use of the new mouthpiece resulted in an approximate 2-fold increase in the proportion of subjects with high quality data. Analyses were further restricted to the 203 children who had used the new mouthpiece and who produced three high quality curves (54%).

Scoring of Respiratory Events
Respiratory events and the AHI were scored and computed as detailed in the online data supplement. The AHI was calculated by summing all obstructive apneas and hypopneas associated with a 3% desaturation and dividing the sum by the estimated sleep time. This index demonstrated excellent agreement with the AHI measured by ‘gold standard’ in-laboratory polysomnography (see online data supplement).

Cephalometry
Lateral cephalometric radiographs were available for 23 of the children who participated in a second-stage laboratory assessment aimed at further exploring the findings of the in-home studies. Procedures for cephalometry have been described previously (1). Cephalometric measures included mandibular length, hyoid-mandibular position, and the angles from the sella–nasion to mandibular points A and B (angles SNA and SNB, respectively).

Analyses
Group comparisons were performed using unpaired t tests or analysis of variance. The relationships among variables were evaluated with Spearman correlation coefficients. Analysis was performed using standard software (SAS Version 8.2; SAS Institute, Cary, NC).

The protocol was approved by University Hospitals' Institutional Review Board. Informed consent was obtained from the parents/legal guardian of each child, and assent was obtained from the child.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Sample Characteristics
The sample consisted of 203 children with a mean age (± standard deviation) of 9.35 ± 0.82 years (described in Table 1). There was a slight female predominance (53%), and one-half of the participants were black. More than half (53%) of the subjects were born prematurely (48 born between 20 and 32 weeks, 41 born after 32 weeks, and 18 of uncertain gestational age younger than 36 weeks). The average height percentile was 56 ± 27% (slightly above the 50th percentile for age and sex). Mean body mass index (BMI) was 18.2 kg/m2 ± 4.0. The median AHI was 0.2 (range 0–42). The prevalence of SDB, defined by an AHI value of 5 events/hour or more, was 4.5%, and the prevalence of snoring with an AHI value less than 5 was 17.4%. As expected, snoring and AHI were significantly associated, although there was considerable overlap between these entities (Spearman's r = 0.22, p = 0.002).


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TABLE 1. Sample characteristics of the cleveland children's sleep and health study (1988–2001)*

 
None of the characteristics in the subsample defined by use of a customized mouthpiece and ability to produce high quality pharyngometry data varied substantially from those of the overall CCSHS cohort (n = 657 at the time of analysis), with the exception that the analyzed sample consisted of a larger proportion of black children than in the overall cohort. This difference is attributable to preferential recruitment of blacks later in the study, which coincided temporally with the introduction of the optimized pediatric pharyngometry mouthpiece.

Quality and Reproducibility of Pharyngeal Measurements
As noted previously, the quality of pharyngometry data increased substantially after the introduction of the customized mouthpiece. Within the subset evaluated with the new mouthpiece (n = 374), 54% had high quality data (all three curves with the highest rating). The coefficient of variation (CV) of the mean CSA was significantly lower in the high quality group when compared with the rest of the sample who used the new mouthpiece, but produced less than three high quality curves (including indeterminate curves) (8.0 versus 12.8%, p < 0.0001). The CV of minimum CSA was modestly elevated relative to the CV of mean CSA. However, similar to the CV of mean CSA, the CV of minimum CSA was significantly lower in the high quality group within the subset of subjects who used the new mouthpiece (11.1 versus 18.1%, p < 0.0001).

Pharyngeal Dimensions as a Function of Subject Characteristics
Table 2 shows mean and minimum pharyngeal CSA according to demographic and anthropometric variables. No significant differences are noted based on ethnicity, sex, or BMI. A modest (6%) but significant increase in both mean and minimum CSA exists among taller than average children when compared with those who are shorter than average. Children 9–11 years old also show a significant (p < 0.005) increase in minimum CSA when compared with the younger subjects (ages 8.0–8.9 years). A trend toward a modestly (4.5%) increased mean CSA exists in older children, although this difference did not reach statistical significance (p = 0.07). Subjects born prematurely, when compared with full-term children, had a modest but significant reduction in minimum CSA (5.9%, p < 0.05). A somewhat smaller reduction in mean CSA (4%) did not reach statistical significance. Differences in mean or minimal CSA were not significant across the range of gestational age (data not shown).


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TABLE 2. Distribution of pharyngeal measurements according to subject characteristics

 
Although we did not aim to present a predictive model for SDB (but rather to identify the feasibility of the technique and the its correlates of pharyngeal dimensions), we explored the extent to which subject characteristics were related independently to pharyngeal CSA. In a multiple regression model, assessing the joint effects of age, height, sex, and prematurity, only height remained significantly related to minimal CSA (p = 0.003).

Variation of Pharyngeal Measurements by Sleep-related Measures
Table 3 demonstrates the variability of mean and minimum CSA with degree of SDB (snoring or AHI >= 5). Habitual snorers showed a highly significant reduction (10.3%, p = 0.006) in minimum CSA compared with nonsnorers. Likewise, children with an AHI value of 5 or more had a significantly smaller minimum CSA (10.4%, p < 0.05) than those with an AHI value less than 5. Furthermore, minimal CSA appeared to vary in a "dose–effect" fashion with degree of SDB (1.17 ± 0.26, 1.07 ± 0.23, and 0.96 ± 0.14 in nonsnorers [n = 157], snorers with an AHI value less than 5 [n = 35], and children with an AHI value of 5 or more [n = 9]). Mean CSA did not vary significantly across these categories. Minimum CSA also correlated inversely with the degree of nocturnal snoring (assessed on a 0–5 point scale, 0 being no snoring and 5 being very frequent snoring over the past month) (r = -0.15, p < 0.03).


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TABLE 3. Distribution of pharyngeal measurements according to sleep-disordered breathing

 
We also evaluated the association between tonsil size and pharyngeal measurements. For this analysis, tonsil size was analyzed both by comparing those with and without moderate–large tonsils and by comparing the two groups at each extreme for tonsil size (< 25% of pharyngeal space, n = 55 versus > 75% of pharyngeal space, n = 15). In both cases, no significant differences in mean or minimum CSA with tonsil size were apparent (p > 0.2). In contrast, nocturnal snoring, defined on the scale described previously was significantly increased in subjects with larger tonsils (r = 0.25, p < 0.005).

Association Between Pharyngometric and Cephalometric Measures
Mean, but not minimal, pharyngeal CSA was significantly correlated with mandibular length as determined by cephalometry (r = 0.47, p = 0.02). No significant relationships were observed between either pharyngometric measure and hyoid mandibular plane, or angle SNA or SNB.


    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 
Utility of Pharyngometry in Studies of Pediatric SDB
The usefulness of any diagnostic test depends on numerous factors, including its feasibility, predictive ability (regarding predicting clinical endpoints or discriminating subgroups of the population), precision (or reliability), accuracy, and cost. We have demonstrated that acoustic pharyngometry can be adapted for use in children, and trained personnel can successfully obtain highly reproducible data even in nonclinical settings (such as the home). In such settings, however, only 78% of children of age 8–11 years were able to produce minimally acceptable data; and high quality data could only be achieved reproducibly for 54% of the sample studied with the improved mouthpiece. In the subset able to produce three acceptable curves, reliability was excellent and comparable to that reported by reports for adults studied in more controlled office or laboratory settings (4, 6). Furthermore, as discussed subsequently, these measurements provided data that discriminated children with and without snoring and SDB. Measurements also varied in an expected manner with indices of body size and growth (height and age). In addition, pharyngeal dimensions were reduced in children who had been born prematurely—a subgroup we have shown in preliminary work to be at increased risk for SDB.

The failure rate reported in the current study should be balanced against the portability and brevity of the measurements, which generally took less than 15 minutes and were conducted in the homes of study participants. Alternatives, such as magnetic resonance imaging (MRI) or endoscopy, although considerably more accurate and comprehensive, are also much more expensive and less accessible. The variation of acoustic pharyngometry measurements across snoring/SDB groups suggests the utility of this technique for the clinical assessment of children at risk for SDB or for phenotyping in research studies, provided that increased technical experience reduces the failure rates.

This study did not directly compare acoustic pharyngometry with MRI. In our epidemiologic study, such assessments were not feasible and would have required comparing measurements made supine (MRI) with those made upright (pharyngometry). However, a previous study of adults assessed with both MRI and acoustic pharyngometry showed that the two techniques provided estimates of mean oropharyngeal area and pharyngeal volume within approximately 20 and 10% of each other, respectively (6). Radiographic comparisons have shown that pharyngometry allows accurate reconstructions of the geometry of other airway structures including the larynx, trachea, and nasal airways (6). Airway models that have been used to assess the accuracy of the technique further indicate that accuracy is greater with smaller mouth areas (6).

These findings, together with the qualitatively similar curves obtained in children and adults, suggest that acoustic reflectometry in children who can reliably perform the maneuver should provide assessments of airway size at least as accurate as what has been reported for adults with larger mouths.

We did assess the relationship of pharyngometric and cephalometric measurements (both made in the sitting position) in a sample of the cohort who participated in a second-stage laboratory study. A previous study of adults had reported that subjects with severe sleep apnea had both reduced mean pharyngeal CSA and mandibular length (7). Our finding of a correlation between mandibular length, which is generally considered to be an important skeletal determinant of pharyngeal size, and mean CSA supports the overall validity of the latter noninvasive measure for estimating anatomic risk factors for SDB in children. The lack of significant relationships between minimal CSA and mandibular length also is not surprising because minimal and mean CSA were only moderately correlated (r = -0.62), and minimal CSA may be influenced more by discrete areas of anatomic compromise (soft tissue) than by a general reduction in area.

Unlike in pediatrics, a standard curve has been established for acoustic pharyngometry in adults. In 350 normal volunteers (77% male), the mean CSA was 3.19 ± 0.311 cm2 in males and 2.81 ± 0.108 cm2 in females, with a CV of 5–7% (14). Clearly, our results cannot be compared directly because of the disparate ages of subjects in the two studies. However, both estimates of reproducibility are of the same order of magnitude as in previous studies (4, 6). Thus, it appears that this tool can be a precise instrument when used in pediatric subjects, provided that data are screened for quality and that a proper mouthpiece is used.

Relationship of Pharyngeal Dimensions to Snoring and SDB
A major objective of this study was to assess the variation of pharyngeal dimensions, assessed noninvasively, with indices of SDB in children. Reduced minimum pharyngeal CSA was demonstrated in both habitual snorers and in children with an AHI value of 5 or more when compared with nonsnorers and children with lesser AHI values, respectively. Furthermore, evidence of a dose–effect relationship was suggested for the relationship of degree of SDB (snoring or AHI >= 5) with minimal pharyngeal CSA. Coupled with the result that mean CSA is not decreased in the snorers or those with SDB, this finding suggests that minimum CSA, rather than mean CSA, may serve as a "critical variable" for the development of obstructive sleep apnea (OSA) in children. This observation makes sense in the context of fluid flow through a nonrigid tube, as in air traveling through the pharynx or blood flow through a vessel. The flow-limiting feature in an atherosclerotic coronary artery, for example, is the point along the vessel where the lumen is most narrowed, as opposed to the average CSA along the length of the vessel. A previous study of pharyngeal dimensions in adults with sleep apnea assessed by computerized tomography provides further evidence in support of the concept of minimum CSA as a critical variable (15). No differences in mean pharyngeal CSA were observed in 12 men with sleep apnea compared with 17 matched control subjects. However, minimal CSA was, on average, approximately 50% the magnitude in the apneic group as compared with the control group. As in that study, we cannot identify the precise anatomic location of the minimal CSA, which likely varies somewhat from child to child.

In the case of airflow through the oropharynx, previous investigators have introduced the concept of a "critical pressure" (Pcrit) to provide a mechanical basis for upper airway collapsibility. In this model, pharyngeal airflow can only occur when upstream pressure exceeds the intrinsic pressure in the oropharynx, Pcrit, extrapolated from a plot of pharyngeal flow versus nasal pressure as the applied pressure at zero flow (1618). In adults, Pcrit is negative (airways stay patent) in normal subjects (19), less negative in snorers (increased susceptibility to collapse), and positive (airway collapse leading to obstruction) during sleep in subjects with OSA (16). Similarly, in children, a positive critical pressure was found in subjects with OSA and a negative Pcrit was found in primary snorers and in a subset of OSA subjects after undergoing tonsillectomy and adenoidectomy (20). Our findings of a relationship between indices of SDB and a reduced minimum CSA may be interpreted within this physiologic framework: a minimal pharyngeal CSA may lead to decreased intraluminal pressure in the pharynx distal to the obstruction, resulting in an increased susceptibility to collapse. Other studies using pharyngometry have identified a reduced mean CSA in adult snorers and subjects with OSA (4, 7). However, those findings included individuals with a greater degree of SDB than what was observed in our study.

Relationship of Pharyngeal Area to Subject Demographics
Our results demonstrate no difference in pharyngeal CSA between white and nonwhite (predominantly black) children. In light of previous findings that black children have a greater chance of developing SDB than white children (21), this result suggests that the racial difference in prevalence of SDB may not be explained by differences in minimal pharyngeal dimensions alone. These new data that address pharyngeal dimensions complement our previous studies of anthropometric and cephalometric measurements (1, 22). In those studies, we found that hard tissue craniofacial dimensions contribute little to SDB in blacks.

In contrast to adult data (14), we did not observe significant sex differences in pharyngeal dimensions in our sample of prepubertal children. This result may simply reflect similarities in overall body size, as there were no sex differences in height percentile or BMI in our sample (male 54 ± 27%, 18.3 ± 3.7 kg/m2 versus female 58 ± 28%, 18.1 ± 4.2 kg/m2; p = 0.41, p = 0.69, respectively). Longitudinal follow-up of children and young adults with simple tools such as acoustic reflectometry may shed further light on how pharyngeal dimensions change after puberty and with growth and maturation and hormonal changes.

Reduced Pharyngeal Area and Prematurity
Minimum CSA was also significantly reduced in preterm children, studied at ages 8–11 years, relative to full-term children. This finding is interesting in light of our preliminary data indicating that SDB is more common among children born prematurely than in full-term children (6.4 versus 1.9%, p = 0.06) (23). In updating these preliminary results, using our larger sample, we find a bigger difference in the prevalence of SDB in preterm relative to full-term children (7.4 versus 1.1%, p = 0.03). Smaller pharyngeal area appeared to relate to the shorter stature of these children: the premature children are significantly shorter, although still of average height for their age and sex, than the full-term children (52 versus 61%, p < 0.02). In children, it will be of especial importance to determine whether small airway dimensions, occurring either in or out of proportion to general body size, increases SDB risk. Future work is needed to further characterize the relationship between prematurity, body and pharyngeal size (and their interrelationship), and susceptibility to SDB.

Relationship of Tonsil Size, Habitual Snoring, and Pharyngeal Dimensions
No relationship was seen between tonsil size and minimum or mean CSA. However, tonsil size (dichotomized at a cutoff identified by tonsillar volume occupying 50% or more of the visible airway) strongly predicted snoring (odds ratio 2.53, 95% confidence interval 1.25–5.14, p < 0.01). A more modest, nonsignificant association was seen between tonsil size and an AHI value of 5 or more (odds ratio 1.96, 95% confidence interval 0.51–7.53; p > 0.3). These results suggest that children with increased tonsillar size are more likely to snore compared with children with smaller tonsils; however, tonsillar size, as quantified by physical examination, does not strongly predict AHI levels. A small minimum pharyngeal CSA, in contrast, predicted both snoring and an elevated AHI. Thus, measurement of pharyngeal CSA appears to be more strongly associated with AHI levels than tonsillar size as assessed by physical exam. This result suggests that acoustic reflectometry may provide important information in the evaluation of pediatric SDB not otherwise accessible via routine examination.

The propensity for habitual snoring and SDB is likely influenced by multiple factors including airway dimensions, tonsil size, soft tissue mass, facial anatomy, and neuromuscular function—combinations of abnormalities in some or all of these areas may produce the SDB phenotype. Tonsil size, as assessed by physical examination, may be too crude an index of anatomic compromise of the airway to differentiate children in the community with and without SDB. In contrast, our data suggest that pharyngometric measurements of minimum CSA could contribute to the prediction of SDB in large samples of unselected children.

Conclusions and Limitations
To summarize, we conclude (1) acoustic pharyngometry is a useful alternative to more invasive and expensive methods of measuring pharyngeal dimensions in preadolescent children and may provide information beyond that available by physical examination, and (2) minimum pharyngeal CSA represents a potentially important metric in evaluation of pediatric SDB. The application of acoustic pharyngometry, however, is limited to a subset of potential subjects, presumably those with the capacity to both follow the instructions and to put forth the necessary effort to complete the study.

We also provide new data that suggest that preterm children have smaller pharyngeal dimensions and that this may be one explanation for the increased risk of SDB with prematurity that we have observed. Future work is needed to further assess the link between prematurity, pharyngeal measurements, and subsequent development of SDB and to model additional physiologic and anatomic risk factors for SDB.


    Acknowledgments
 
The authors wish to express their gratitude for the invaluable assistance of Jean Arnold, Sarah Bivins, Judy Emancipator, Najla Golebiewski, Heather Rosebrock, Susan Surovec, and Dina Tell, who have recruited the patients, collected the data, and worked diligently to implement the use of the new pharyngometry mouthpiece. In addition, they thank Gary Glass of E. Benson Hood Laboratories for customizing the pharyngometry software and reviewing the manuscript. Finally, they are most indebted to the members of the cohort who so generously continue to invite them into their homes.

Supported by National Institutes of Health grants NHLBI RO1HL60957, NHLBI 04426, RO1 NR02707, and MO RR 00080.


    FOOTNOTES
 
This article has an online data supplement, which is accessible from this issue's table of contents online at www.atsjournals.org

Received in original form November 5, 2001; accepted in final form February 28, 2002


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 METHODS
 RESULTS
 DISCUSSION
 REFERENCES
 

  1. Redline S, Tishler PV, Hans MG, Tosteson TD, Strohl KP, Spry K. Racial differences in sleep-disordered breathing in African-Americans and Caucasians. Am J Respir Crit Care Med 1997;155:186–192.[Abstract]
  2. Bacon WH, Krieger J, Turlot J-C, Stierle JL. Craniofacial characteristics in patients with obstructive sleep apneas syndrome. Cleft Palate J 1988; 25:374–378.[Medline]
  3. Guilleminault C, Riley R, Powell N. Obstructive sleep apnea and abnormal cephalometric measurements: implications for treatment. Chest 1984;86:793–795.[Abstract/Free Full Text]
  4. Bradley TD, Brown IG, Grossman RF, Zamel N, Martinez D, Phillipson EA, Hoffstein V. Pharyngeal size in snorers, nonsnorers, and patients with obstructive sleep apnea. N Engl J Med 1986;315:1327–1337.[Abstract]
  5. Brown IG, Bradley TD, Phillipson EA, Zamel N, Hoffstein V. Pharyngeal compliance in snoring subjects with and without obstructive sleep apnea. Am Rev Respir Dis 1985;132:211–215.[Medline]
  6. Marshall I, Maran NJ, Martin S, Jan MA, Rimmington JE, Best JJK, Drummond GB, Douglas NJ. Acoustic reflectometry for airway measurements in man: implementation and validation. Physiol Meas 1993;14:157–169.[CrossRef][Medline]
  7. Rivlin J, Hoffstein V, Kalbfleisch J, McNicholas W, Zamel N, Bryan AC. Upper airway morphology in patients with idiopathic obstructive sleep apnea. Am Rev Respir Dis 1984;129:355–360.[Medline]
  8. Youngblut JM, Loveland-Cherry CJ, Horan M. Maternal employment effects on families and preterm infants at 18 months. Nurs Res 1994; 43:331–337.[Medline]
  9. Kump K, Whalen C, Tishler PV, Browner I, Ferrette V, Strohl KP, Rosenberg C, Redline S. Assessment of the validity and utility of a sleep symptom questionnaire in a community sample. Am J Respir Crit Care Med 1994;150:735–741.[Abstract]
  10. Brodsky L. Modern assessment of tonsils and adenoids. Pediatr Clin North Am 1989;36:1551–1569.[Medline]
  11. Brooks LJ, DiFiore JM, Martin RJ. Assessment of tidal volume over time in preterm infants using respiratory inductance plethysmography, the CHIME Study Group. Collaborative Home Infant Monitoring Evaluation. Pediatr Pulmonol 1997;23:429–433.[CrossRef][Medline]
  12. Sackner MA, Watson H, Belsito AS, Feinerman D, Suarez M, Gonzalez G, Bizousky F, Krieger B. Calibration of respiratory inductive plethysmograph during natural breathing. J Appl Physiol 1989;66:410–420.[Abstract/Free Full Text]
  13. Shepard JW, Gefter WB, Guilleminault C, Hoffman EA, Hoffstein V, Hudgel DW, Suratt PM, White DP. Evaluation of the upper airway in patients with obstructive sleep apnea. Sleep 1991;14:361–371.[Medline]
  14. Kamal I. Normal standard curve for acoustic pharyngometry. Otolaryngol Head Neck Surg 2001;124:323–330.[CrossRef][Medline]
  15. Stauffer JL, Zwillich CW, Cadieux RJ, Bixler EO, Kales A, Varano LA, White DW. Pharyngeal size and resistance in obstructive sleep apnea. Am Rev Respir Dis 1987;136:623–627.[Medline]
  16. Smith PL, Wise RA, Gold AR, Schwartz AR, Permutt S. Upper airway pressure-flow relationships in obstructive sleep apnea. J Appl Physiol 1988;64:789–795.[Abstract/Free Full Text]
  17. Sforza E, Bacon W, Weiss T, Thibault A, Petiau C, Krieger J. Upper airway collapsibility and cephalometric variables in patients with obstructive sleep apnea. Am J Respir Crit Care Med 2000;161(2 Pt 1):347–352.[Abstract/Free Full Text]
  18. Sforza E, Petiau C, Weiss T, Thibault A, Krieger J. Pharyngeal critical pressure in patients with obstructive sleep apnea syndrome: clinical implications. Am J Respir Crit Care Med 1999;159:149–157.[Abstract/Free Full Text]
  19. Schwartz AR, Smith PL, Wise RA, Gold AR, Permutt S. Induction of upper airway occlusion in sleeping individuals with subatmospheric nasal pressure. J Appl Physiol 1988;64:535–542.[Abstract/Free Full Text]
  20. Marcus CL, McColley SA, Carroll JL, Loughlin GM, Smith PL, Schwartz AR. Upper airway collapsibility in children with obstructive sleep apnea syndrome. J Appl Physiol 1994;77:918–924.[Abstract/Free Full Text]
  21. Redline S, Tishler PV, Schluchter MD, Aylor J, Clark K, Graham G. Risk factors for sleep-disordered breathing in children: associations with obesity, race, and respiratory problems. Am J Respir Crit Care Med 1999;159:1527–1532.[Abstract/Free Full Text]
  22. Cakirer B, Hans MG, Graham G, Aylor J, Tishler PV, Redline S. The relationship between craniofacial morphology and obstructive sleep apnea in Caucasians and African-Americans. Am J Respir Crit Care Med 2001;163:947–950.[Abstract/Free Full Text]
  23. Redline S, Rosen C, Surovec S, Arnold J, Bivins S, DiFiore J, Emancipator J, Golebiewski N, Rosebrock H, Russo L, et al. Prevalence of sleep-disordered breathing (SDB) in a community-based sample of 8–10 year old children [abstract]. Am J Respir Crit Care Med 2000;161:A26.



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