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Epworth Sleepiness Scale
About: Epworth Sleepiness Scale is a research topic. Over the lifetime, 4742 publications have been published within this topic receiving 155088 citations.
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TL;DR: Single item analysis suggests that fatigue and sleepiness converge for situations that demand self-paced activation, while they differ for situations in which external cues contribute to the level of activation.
Abstract: Fatigue is a frequent and disabling symptom in patients with multiple sclerosis (MS). The objective of the study was to compare fatigue and sleepiness in MS, and their relationship to physical activity. Eighty patients with MS rated the extent of experienced fatigue (Fatigue Severity Scale, FSS) and sleepiness (Epworth Sleepiness Scale, ESS). The relationship between the scales was analysed for the scales as a whole and for single items. The clinical status of the patients was measured with the Extended Disability Status Scale (EDSS). In addition, physical activity was recorded continuously for 1 week by wrist actigraphy. The mean scores of fatigue and sleepiness were significantly correlated (FSS vs. ESS r = 0.42). Single item analysis suggests that fatigue and sleepiness converge for situations that demand self-paced activation, while they differ for situations in which external cues contribute to the level of activation. While fatigue correlated significantly with age (r = 0.40), disease severity (EDSS, r = 0.38), and disease duration (r = 0.25), this was not the case for sleepiness. Single patient analysis showed a larger scatter of sleepiness scores in fatigued patients (FSS > 4) than in non-fatigued patients. Probably, there is a subgroup of MS patients with sleep disturbances that rate high on ESS and FSS. The amount of physical activity, which was measured actigraphically, decreased with disease severity (EDSS) while it did not correlate with fatigue or sleepiness.
49 citations
TL;DR: Glossectomy significantly improves sleep outcomes as part of multilevel surgery in adult patients with OSA, although the evidence suggests positive outcomes in select patients.
Abstract: ObjectiveDetermine the effect of glossectomy as part of multilevel sleep surgery on sleep-related outcomes in patients with obstructive sleep apnea.Data SourcesPubMED, Scopus.Review MethodsTwo independent researchers conducted the review using PubMed-NCBI and Scopus literature databases. Studies on glossectomy for obstructive sleep apnea that reported pre- and postoperative apnea-hypopnea index (AHI) score with 10 or more patients were included.ResultsA total of 18 articles with 522 patients treated with 3 glossectomy techniques (midline glossectomy, lingualplasty, and submucosal minimally invasive lingual excision) met inclusion criteria. Pooled analyses (baseline vs post surgery) showed a significant improvement in AHI (48.1 ± 22.01 to 19.05 ± 15.46, P < .0001), Epworth Sleepiness Scale (ESS; 11.41 ± 4.38 to 5.66 ± 3.29, P < .0001), snoring visual analog scale (VAS; 9.08 ± 1.21 to 3.14 ± 2.41, P < .0001), and Lowest O2 saturation (76.67 ± 10.58 to 84.09 ± 7.90, P < .0001). Surgical success rate was 59.6...
49 citations
TL;DR: The variables given in the algorithm are the best ones for predicting the number of respiratory events during sleep in patients studied for suspected OSA, and may be a good screening method to the identification of patients with OSA.
Abstract: We sought to analyze the predictive value of anthropometric, clinical and epidemiological parameters in the identification of patients with suspected OSA, and their relationship with apnoea/hypopnoea respiratory events during sleep. We studied retrospectively 433 patients with OSA, 361 men (83.37%) and 72 women (16.63%), with an average age of ±47, standard deviation ±11.10 years (range 18–75 years). The study variables for all of the patients were age, sex, spirometry, neck circumference, body mass index (BMI), Epworth sleepiness scale, nasal examination, pharyngeal examination, collapsibility of the pharynx (Muller Manoeuvre), and apnoea-hypopnoea index (AHI). Age, neck circumference, BMI, Epworth sleepiness scale, pharyngeal examination and pharyngeal collapse were the significant variables. Of the patients, 78% were correctly classified, with a sensitivity of 74.6% and a specificity of 66.3%. We found a direct relationship between the variables analysed and AHI. Based on these results, we obtained the following algorithm to calculate the prediction of AHI for a new patient: AHI = −12.04 + 0.36 neck circumference +2.2286 pharyngeal collapses (MM) + 0.1761 Epworth + 0.0017 BMI × age + 1.1949 pharyngeal examinations. The ratio variance in the number of respiratory events explained by the model was 33% (r
2 = 0.33). The variables given in the algorithm are the best ones for predicting the number of respiratory events during sleep in patients studied for suspected OSA. The algorithm proposed may be a good screening method to the identification of patients with OSA.
48 citations
TL;DR: VEMPs displayed progressive severity of alterations at different stages of PD, with remarkable correlations with presence of postural instability and RBD, and may provide interesting insights into the pathophysiological mechanisms of PD at the earliest and prodromal stage of the disease.
48 citations
TL;DR: Problematic MPU was associated with depression, bodily pain and daytime sleepiness and the findings will inform further studies of MPU-related health problems.
48 citations