Rapid Risk Stratification for Obstructive Sleep Apnea, Based on Snoring Severity and Body Mass Index

  title={Rapid Risk Stratification for Obstructive Sleep Apnea, Based on Snoring Severity and Body Mass Index},
  author={Luc G. T. Morris and Andrew J. Kleinberger and Kelvin C. Lee and Lisa A. Liberatore and Omar E. Burschtin},
  journal={Otolaryngology–Head and Neck Surgery},
  pages={615 - 618}
Objective It is unclear whether all snoring patients require polysomnography, and there are no highly sensitive clinical predictors of sleep apnea. [...] Key Method Study Design Prospective, IRB-approved study at a university sleep disorders center. Subjects and Methods In 211 patients undergoing polysomnography, snoring severity, Epworth sleepiness scale, body mass index, demographic, and sleep study data were collected.Expand
Clinical Prediction Model for Obstructive Sleep Apnea among Adult Patients with Habitual Snoring
  • Hsin-Ching Lin, C. Lai, +5 authors Chien-Hung Chin
  • Medicine
  • Otolaryngology--head and neck surgery : official journal of American Academy of Otolaryngology-Head and Neck Surgery
  • 2019
This study has distinguished the correlations between sex, uFTP, tonsil size, and BMI grade and the presence and severity of obstructive sleep apnea/hypopnea syndrome. Expand
Prospective trial on obstructive sleep apnea in pregnancy and fetal heart rate monitoring.
In pregnancy, the Berlin questionnaire poorly predicts OSA, and it is unclear whether fetal compromise during maternal apnea is a mechanism in OSA that is related to pregnancy outcome. Expand
Correlation between subjective classification of snoring and the apnea-hypopnea index
There is a positive correlation between the intensity of snoring and OSAS severity, and it can infer that a patient with loud and intense snoring has a greater chance of developing moderate to severe OSAS. Expand
Body mass index as an indicator of obstructive sleep apnea in pediatric Down syndrome.
When age and sex adjusted, BMI has a statistically significant association with the presence of OSA in Down syndrome patients, and the incidence of Osa also increases with increasing age in this population. Expand
A Pilot Study: Is Snoring During Pediatric Dental Procedures Indicative of Obstructive Sleep Apnea?
Snoring alone during pediatric dental procedures does not appear to be indicative of obstructive sleep apnea, and recognition of pediatricSleep apnea may be enhanced through questionnaires and adding snore analysis to home-based sleep apiency screening. Expand
Snoring time versus snoring intensity: Which parameter correlates better with severity of obstructive sleep apnea syndrome?
The snoring rate and maximal intensity of snoring correlate better with the severity of OSAS than average snoring intensity. Expand
Multi-feature snore sound analysis in obstructive sleep apnea-hypopnea syndrome.
The results establish the feasibility of developing a snore-based OSAHS community-screening device, which does not require any contact measurements and is based solely on snore sound analysis. Expand
Snoring: the silent signal in sleep medicine Ronco: o sinal silencioso na medicina do sono
It is concluded that snoring is a poorly monitored signal and that more studies are warranted in this fundamental area of Sleep Medicine. Expand
Adiposity indicators as a screening method for polysomnography in shift workers
Alterations in abdomen and neck adiposity indicators have a significant relationship with the presence of OSA and showed effectiveness as a screening method for PSG. Expand
Does this patient have obstructive sleep apnea?: The Rational Clinical Examination systematic review.
Nocturnal gasping or choking is the most reliable indicator of obstructive sleep apnea, whereas snoring is not very specific and the clinical examination of patients with suspected obstructiveSleep apnea is useful for selecting patients for more definitive testing. Expand


Are history and physical examination a good screening test for sleep apnea?
In patients with a high predicted probability of the sleep apnea syndrome, subjective impression alone or any combination of clinical features cannot serve as a reliable screening test, and the model based on clinical data was sufficiently sensitive to permit about a 30% reduction in the number of unnecessary sleep studies. Expand
Predictive value of clinical features in diagnosing obstructive sleep apnea.
Although clinical features obtained during history and physical examination explain a relatively high percent of the variability in AHI, subjective clinical impression alone is not sufficient to reliably identify patients with or without sleep apnea. Expand
The role of history, Epworth Sleepiness Scale Score and body mass index in identifying non-apnoeic snorers.
The sensitivity of this method of clinical assessment in identifying the 'non-apnoeic snorers' from amongst patients referred with snoring was 93.4% and its specificity was 60% (P < 0.001). Expand
The occurrence of sleep-disordered breathing among middle-aged adults.
The prevalence of undiagnosed sleep-disordered breathing is high among men and is much higher than previously suspected among women, and is associated with daytime hypersomnolence. Expand
Daytime sleepiness, snoring, and obstructive sleep apnea. The Epworth Sleepiness Scale.
ESS scores significantly distinguished patients with primary snoring from those with obstructive sleep apnea syndrome (OSAS), and ESS scores increased with the severity of OSAS. Expand
A new method for evaluating and reporting the severity of snoring.
The study suggested that the SSS offers a uniform, comprehensive and simple to understand method for the evaluation, grading and reporting of snoring which is not currently available. Expand
Clinical Predictors of Obstructive Sleep Apnea
Objective: To identify physical findings that can be standardized to predict the presence and the severity of obstructive sleep apnea (OSA).
Development and validation of a patient-rated Snoring Severity Scale (SSS)
  • Presented at the May 2008 meeting of the Triological Society,
  • 2008