Obstructive sleep apnea (OSA) is a sleep disorder with high prevalence and significant health consequences. The aim of this study was to validate the STOP-Bang Questionnaire, a widely used screening tool for OSA besides polysomnography, in Greek patients. A hundred and two (102) patients with OSA, aged [mean (SD)] 59.16 (8.53) years, and 102 healthy adults, aged [mean (SD)] 54.67 (9.36) years, were assessed. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for different cut-off values. The Epworth Sleepiness Scale (ESS) was also used to examine predictive validity. Patients with OSA showed higher scores than healthy controls (p < 0.001). The resulting specificity, sensitivity, PPV, and NPV were 98%, 60%, 71%, 97%, (cut-off 3), 96%, 81%, 84%, 95% (cut-off 4), and 86%, 97%, 97%, 88% (cut-off 5), respectively. This study has demonstrated that the Greek version of STOP-Bang can be used in the clinical setting to differentiate patients with OSA from healthy individuals with high accuracy and at low cost.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1007/978-3-030-78771-4_9 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Sleep apnea screening through a news portal using the STOP-bang questionnaire.
Sleep Breath
January 2025
Pulmonary Medicine, Universidad Austral, Hospital Universitario Austral, Pilar, Argentina.
Purpose: Obstructive sleep apnea (OSA) affects up to 936 million adults globally and is linked to significant health risks, including neurocognitive impairment, cardiovascular diseases, and metabolic conditions. Despite its prevalence, OSA remains largely underdiagnosed. This study aimed to enhance OSA awareness and risk assessment using the STOP-Bang questionnaire in a telemedicine format.
View Article and Find Full Text PDFRelationship between sleep disorders and information processing speed in multiple sclerosis.
Clinics (Sao Paulo)
January 2025
Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran. Electronic address:
Objectives: It is estimated that up to 65 % of pwMS (people with multiple sclerosis) experience varying degrees of cognitive impairment, the most commonly affected domain being Information Processing Speed (IPS). As sleep disturbance is a predictor of detriments in IPS, the authors aimed to study the association between the severity of Restless Legs Syndrome (RLS) and Obstructive Sleep Apnea (OSA) symptoms with IPS in pwMS.
Methods: In a cross-sectional study, the authors enrolled people with relapsing-remitting and secondary progressive MS referred to the comprehensive MS center of Kashani Hospital in Isfahan, Iran.
Obstructive sleep apnea is a common diagnosis in patients admitted at the memory clinic: Please screen for it!
J Alzheimers Dis
January 2025
Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Obstructive sleep apnea (OSA) affects a large portion of middle-aged and older adults. It has been linked to increased risk of cognitive decline and Alzheimer's disease. OSA can impair cognitive performance and patients with cognitive complaints can frequently present with this sleep disorder.
View Article and Find Full Text PDFApplication Value of STOP-Bang Questionnaire in Predicting Abnormal Metabolites.
Diabetes Metab Syndr Obes
January 2025
Department of Ear, Nose and Throat, Beijing Hepingli Hospital, Beijing, People's Republic of China.
Objective: To evaluate the application value of STOP-Bang questionnaire (SBQ) in predicting abnormal metabolites.
Methods: Totally 121 patients were included into the study and filled the questionnaires, and their clinical data were collected at the same time. These patients were grouped according to the questionnaire scores.
A novel machine learning model for screening the risk of obstructive sleep apnea using craniofacial photography with questionnaires.
J Clin Sleep Med
January 2025
Department of Convergence Healthcare Medicine, Ajou University, Suwon, Republic of Korea.
Study Objectives: Undiagnosed or untreated moderate to severe obstructive sleep apnea (OSA) increases cardiovascular risks and mortality. Early and efficient detection is critical, given its high prevalence. We aimed to develop a practical and efficient approach for obstructive sleep apnea screening, using simple facial photography and sleep questionnaires.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!