A new approach for the assessment of sleepiness and predictivity of obstructive sleep apnea in drivers: A pilot study

Quaranta, Vitaliano Nicola; Dragonieri, Silvano; Carratù, Pierluigi; Falcone, Vito Antonio; Carucci, Elisa; Ranieri, Teresa; Ventura, Valentina Anna; Resta, Onofrio

doi:10.4103/0970-2113.173061

Cited by 5 publications

(3 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the study of Zwahlen et al (2016) 13 which was conducted in private and professional drivers having a medical appointment in the Department of Traffic Sciences at the Institute of Forensic Medicine, University of Bern, nearly one out of six of the questioned drivers admitted to fall sleep while driving a motor vehicle and these participants' ESS scores were found significantly higher. In the study of Quaranta et al (2016), 14 sleepiness and predictivity of obstructive sleep apnea in drivers were evaluated both with the Driver Sleepiness Score (DSS) and ESS and the combination of both questionnaires was offered for the detection of all OSA severity levels with high accuracy.…”

Section: Discussionmentioning

confidence: 99%

Association analysis of Epworth Sleepiness Scale (ESS) scores with serotonin transporter (5-HTT- LPR, 5-HTT-VNTR) and circadian (PER3-VNTR) genes

Özen¹,

Yegin²,

Sağlam³

et al. 2022

Sleep Sci

View full text Add to dashboard Cite

Excessive daytime sleepiness (EDS) is a common complaint encountered in clinical practice with serious consequences both for individual and society since it can increase the ratio of motor vehicle accidents, work-related incidents, and deaths. Moreover, it also manifests less serious individual consequences. This study aimed to investigate the potential role of PER3-VNTR, 5-HTT-LPR, and 5-HTT-VNTR in terms of constituting liability to EDS. Two hundred eighteen participants (93 complaining about daytime sleepiness and 125 individuals with no serious complaint) were recruited in the study. General daytime of sleepiness was quantified with Epworth sleepiness scale (ESS). DNA extractions were performed from collected blood samples with standart salting-out procedure and genotyped. ESS scores displayed difference between individuals suffering from sleep disturbances and other individuals with values of 12.75±4.55 and 6.34±4.26, respectively. PER3-VNTR and 5-HTT-LPR genotypes did not display association with mean ESS scores. However, 5-HTT-VNTR genotypes showed significant association with mean ESS scores; individuals with 10/10 genotypes had the highest ESS score reflecting this genotype as a liability factor for EDS. We strongly recommend further studies based on circadian/serotonin pathway genes in different populations to reach to a consensus and highlight sleep genetic marker genes which then can be the future targets of pharmacological treatment studies for sleep problems.

show abstract

Section: Discussionmentioning

confidence: 99%

Association analysis of Epworth Sleepiness Scale (ESS) scores with serotonin transporter (5-HTT- LPR, 5-HTT-VNTR) and circadian (PER3-VNTR) genes

Özen¹,

Yegin²,

Sağlam³

et al. 2022

Sleep Sci

View full text Add to dashboard Cite

show abstract

“…This was consistent with earlier studies. [19][20][21] Most studies consider STOP-Bang score of ≥3 as high risk for OSAS. On increasing the cutoff, the specificity increases at the cost of reduced sensitivity.…”

Section: Discussionmentioning

confidence: 99%

Utility of Combination of Sleep Questionnaires in Predicting Obstructive Sleep Apnea and its Correlation with Polysomnography

Patro¹,

Ojha²,

Gothi³

et al. 2019

Indian Journal of Sleep Medicine

View full text Add to dashboard Cite

Introduction: A number of screening questionnaires and clinical screening models have been developed to identify patients with obstructive sleep apnea syndrome (OSAS). These questionnaires lack reliability, and their predictability varies. Hence, it is difficult to predict or rule out OSAS on one questionnaire alone. The combination of two or more questionnaires might be helpful in ruling out OSAS. Objectives: (1) To determine the sensitivity, specificity, and predictive values of combination of two or more sleep questionnaires out of three established sleep questionnaires, i.e., Epworth sleepiness scale (ESS), perioperative sleep apnea prediction score (PSAP), STOP-Bang, in predicting OSAS and correlation with severity of OSAS. (2) To compare and correlate ESS, PSAP, and STOP-Bang individually with apnea-hypopnea index (AHI) obtained by polysomnography (PSG). Materials and methods: It was a prospective observational study conducted in a tertiary care center from January 2018 to August 2019 involving 250 cases of suspected OSAS. All the participants were interviewed for the three questionnaires followed by diagnostic type I PSG. Results: Comparing the individual questionnaires, ESS had higher sensitivity but low specificity, whereas PSAP had higher specificity. Perioperative sleep apnea prediction [area under curve (AUC) = 0.743 for any OSAS and 0.722 for moderate-to-severe OSAS] had a better prediction for OSAS. For predicting any OSAS, the combination of STOP-Bang + ESS + PSAP had a sensitivity of 95.76, specificity of 24.59%, and high negative predictive value (NPV) of 65.22%. For predicting moderate-to-severe OSAS, the combination of STOP-Bang + ESS + PSAP had a sensitivity of 92.59, specificity of 36.06%, and high NPV of 61.11%. Conclusion:The combination of questionnaires especially STOP-Bang, ESS, and PSAP improves the sensitivity of detection up to 95%, and when all of them are negative, OSAS is ruled out with around 65% confidence. So, using this combination can help us to identify high-risk patients and prioritize them for PSG so that they can get early treatment.

show abstract

“…Several studies have compared the accuracy of different predictive tools, and meta-analyses have also been carried out [37][38][39]. Quaranta et al also established a tool called the Driver Sleepiness Score (DSS) for the evaluation of sleepiness in drivers with suspected OSA [40].…”

Section: Introductionmentioning

confidence: 99%

A New Screening Tool (BAMSA) for Sleep Apnea in Male Professional Truck Drivers

Huhta,

Sieminski,

Hirvonen

et al. 2024

JCM

View full text Add to dashboard Cite

Obstructive sleep apnea (OSA) is common in professional truck drivers. It is important that OSA is recognized since undiagnosed and/or untreated sleep apnea is a risk factor for sleepiness-related traffic accidents. In this study, we developed a new simple tool to screen for obstructive sleep apnea (OSA) in this population. Altogether, 2066 professional truck drivers received a structured questionnaire. A total of 175 drivers had a clinical examination and were invited to participate in sleep laboratory studies, including cardiorespiratory polygraphy. We studied associations of different risk factors with the presence of sleep apnea. We established a new simple screening tool for obstructive sleep apnea (OSA) that was compared to other existing screening tools. A total of 1095 drivers completed the questionnaire. Successful cardiorespiratory polygraphy was obtained for 172 drivers. Full data were available for 160 male drivers included in the analyses. The following five risk factors for sleep apnea formed the BAMSA score (0 to 5): BMI > 30 kgm−2, age > 50 years, male gender, snoring at least one night per week, and the presence of apnea at least sometimes. BAMSA showed a sensitivity of 85.7% and a specificity of 78.8% in detecting AHI ≥ 15 when using a cut-off point of 4, and the ROC area was 0.823. BAMSA is a sensitive and easy-to-use tool in predicting obstructive sleep apnea in male professional drivers.

show abstract

A new approach for the assessment of sleepiness and predictivity of obstructive sleep apnea in drivers: A pilot study

Cited by 5 publications

References 20 publications

Association analysis of Epworth Sleepiness Scale (ESS) scores with serotonin transporter (5-HTT- LPR, 5-HTT-VNTR) and circadian (PER3-VNTR) genes

Association analysis of Epworth Sleepiness Scale (ESS) scores with serotonin transporter (5-HTT- LPR, 5-HTT-VNTR) and circadian (PER3-VNTR) genes

Utility of Combination of Sleep Questionnaires in Predicting Obstructive Sleep Apnea and its Correlation with Polysomnography

A New Screening Tool (BAMSA) for Sleep Apnea in Male Professional Truck Drivers

Contact Info

Product

Resources

About