Chest
Volume 107, Issue 6, June 1995, Pages 1545-1551
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Clinical Investigations: Sleep
Familial Aggregates in Obstructive Sleep Apnea Syndrome

https://doi.org/10.1378/chest.107.6.1545Get rights and content

Obstructive sleep apnea syndrome (OSAS) was diagnosed in 157 subjects based on clinical symptoms, physical evaluation, cephalometric x-ray films, and polysomnography. These index cases identified 844 living first-degree relatives. Mailings were sent to 792 (94%). The mailing consisted of two identical questionnaires, one for the family member of the index case and one to be given to a friend (not a relative) of approximately the same age. In response, we received 531 (63%) questionnaires from relatives and 198 (25%) questionnaires from age-matched nonrelated friends, which were used as a control group. A more extensive investigation was performed on first-degree relatives of the index group living in the San Francisco Bay Area or vicinity. Two hundred seventy-nine relatives (100%) were identified. One hundred sixty-six subjects (59%) as well as 69 age-matched friends (ie, 41% of the 166 relatives and 25% of the potential total group) agreed to participate in further studies. These subjects had interviews, clinical investigations, and nonattended ambulatory monitoring. Cephalometric x-ray films could be obtained on only 22 of 166 participating relatives and 6 of 69 friends. Body mass index was not a differentiating measure between relatives and friends. Odds ratios (ORs) were calculated from the questionnaire data. The report of tiredness, fatigue, and sleepiness did not distinguish family members from friends. The OR, however, progressively increases when there is a positive history of near nightly loud snoring (OR=1.78; 95% confidence interval [CI] 1.25-2.54) or a positive history of daytime sleepiness in conjunction with near nightly loud snoring (OR=3.11; 95% CI=1.94-4.99). The investigation in the Bay Area indicated that, when first-degree relatives were compared with friends, the complaint of daytime tiredness, sleepiness, or both with the presence of a high and narrow (ogival) hard palate sharply differentiated between friends and relatives (OR=10.9, 95%, CI=5.31-22.5). An Epworth Sleepiness Scale score of 9 or greater with the presence of another symptom associated with OSAS, and a respiratory disturbance index greater than 5 (number of apneas and hypopneas per hour of sleep >5) gave an OR of 45.6 (95% CI=18.8-11.0). Disproportionate craniofacial anatomy was common in familial groups with OSAS. Craniofacial familial features can be a strong indicator of risk for the development of OSAS.

Section snippets

Population

Index Case Identification: We identified obstructive sleep apneic patients (index cases) from subjects seen consecutively at the Stanford Sleep Disorders Clinic. All index cases had a complaint of daytime sleepiness, tiredness, or fatigue. All were reported to be loud, chronic snorers during sleep and presented, to varying degrees, with clinical symptoms associated with OSAS. All subjects underwent nocturnal polysomnography, which was conducted according to American Sleep Disorders Association

Results

Two different studies were performed. One was a questionnaire survey on a large population; the second one was a more extensive investigation with specific testing on a geographically defined population which was also part of the initial large population. The latter study shall be discussed first here.

Comment

The study reported here considered only first-degree relatives. Considering the number of potential subjects, a 63% response rate, particularly in the US environment, is large enough to bring valuable information. The risk of self-selection of affected individuals is always present and cannot be avoided completely in studies with this type of design, but the large database reduces the probability of selection bias. The study would have benefited if we had succeeded in obtaining a similar

ACKNOWLEDGMENT

The authors thank Michael Gulevich for editing the manuscript.

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    Part of the work presented here in was supported by grant AG 07772 from the National Institute of Aging and by GCRC grant MO1 RR 00070 from the National Institutes of Health.

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