scholarly journals Polysomnographic Study to Evaluate Obstructive Sleep Apnoea Syndrome in Obese and Non Obese Adolescents

2021 ◽  
Author(s):  
HP Arun Kumar ◽  
K Pushpa
Keyword(s):  
Eye Movement ◽  
Obstructive Sleep Apnoea ◽  
Sleep Onset ◽  
Sleep Apnoea ◽  
Obstructive Sleep Apnoea Syndrome ◽  
Sleep Stages ◽  
Rapid Eye Movement ◽  
Obese Adolescents ◽  
Sleep Apnoea Syndrome ◽  
Obstructive Sleep

Introduction: Obesity in adolescents is an emerging problem in developing countries like India, especially among higher socioeconomic status group. Obesity is the most important reversible risk factor for Obstructive Sleep Apnoea Syndrome (OSAS) in adolescents. Adolescent obesity with OSAS if not treated, can result in serious morbidity in cognitive, cardiovascular, somatic growth, development and metabolic disorders in future. Aim: To compare the sleep pattern between the obese and non obese adolescents and to evaluate OSAS. Materials and Methods: This was an observational study carried out at Life Style Laboratory, Department of Physiology, Bangalore Medical College and Research Institute, Karnataka, India. The study involved 30 obese and 30 non obese male adolescents, who were subjected to overnight Polysomnography (PSG) in the sleep laboratory. According to Kale’s criteria, epochs were manually scored which were compiled and statistically analysed for parameters like Sleep Latency (SL), Actual Sleep Time (AST), wake after sleep onset, percentage of Non Rapid Eye Movement (NREM), Rapid Eye Movement (REM) sleep stages, Sleep Efficiency (SE). The number of apnoeas and hypopnoeas were also noted to calculate Apnoea Hypopnoea Index (AHI). These parameters were compared for statistical significance using student t-test. Adolescents with AHI ≥1 were diagnosed with OSAS. Results: Mean age of obese adolescents was 17.7±0.97 years and their mean BMI was 28±0.73 kg/m2. OSAS was found in 22 out of 30 obese (73%) and 14 out of 30 (46%) non obese adolescents. It was found that apnoeas (3±4.80 vs 1±0.89), hypopnoeas (27.36±26.5 vs 5.46±2.97) and AHI (4.17±3.90 vs 0.89±0.43) were significantly more among obese adolescents when compared with non obese adolescents respectively. PSG parameters like SL, Wake After Sleep Onset (WASO) were prolonged and AST, SE were reduced significantly in obese adolescents. Conclusion: Adolescents with obesity had greater occurrence of OSAS, along with altered sleep architecture in them.

What Non-Alcoholic Fatty Liver Disease Has Got to Do with Obstructive Sleep Apnoea Syndrome and viceversa?

2014 ◽  
Vol 23 (3) ◽  
pp. 291-299 ◽  
Author(s):  
Giovanni Tarantino ◽  
Vincenzo Citro ◽  
Carmine Finelli
Keyword(s):  
Liver Disease ◽  
Fatty Liver ◽  
Obstructive Sleep Apnoea ◽  
Fatty Liver Disease ◽  
Sleep Apnoea ◽  
Obstructive Sleep Apnoea Syndrome ◽  
Alcoholic Fatty Liver ◽  
Sleep Apnoea Syndrome ◽  
Obstructive Sleep ◽  
Alcoholic Fatty Liver Disease

Non-alcoholic fatty liver disease (NAFLD) and obstructive sleep apnoea syndrome (OSAS) are common conditions, frequently encountered in patients with obesity and/or metabolic syndrome. NAFLD and OSAS are complex diseases that involve an interaction of several intertwined factors. Several lines of evidence lend credence to an immune system derangement in these patients, i.e. the low grade chronic inflammation status, reckoned to be the most important factor in causing and maintaining these two illnesses. Furthermore, it is emphasized the main role of spleen involvement, as a novel mechanism. In this review the contribution of the visceral adiposity in both NAFLD and OSAS is stressed as well as the role of intermittent hypoxia. Finally, a post on the prevention of systemic inflammation is made.Abbreviations: ALT: alanine aminotransferase; BMI: body mass index; CCR2: chemokine (C-C motif) receptor 2; CRP: C-reactive protein; CPAP: continuous positive airway pressure; FFA: free fatty acid; IGF-I: insulin-like growth factor; IR: insulin resistance; IL-6: interleukin-6; IH: intermittent hypoxia; IKK-β: IκB kinase β; LPS: lipopolysaccharide; MCP-1: monocyte chemoattractant protein-1; NAFLD: non-alcoholic fatty liver disease; NASH: nonalcoholic steatohepatitis; NEFA: non-esterified fatty acid; NF-κB: nuclear factor-κB; OSAS: obstructive sleep apnoea syndrome; PAI-1: plasminogen activator inhibitor-1; ROS: reactive oxygen species; TNF-α: tumor necrosis factor-α; T2D: type 2 diabetes.

scholarly journals Paediatric Sleep Questionnaire for Obstructive Sleep Apnoea Syndrome Screening: Is Sleep Quality Worthy of Note?

2021 ◽  
Vol 11 (4) ◽  
pp. 1440 ◽  
Author(s):  
Vera Panzarella ◽  
Giovanna Giuliana ◽  
Paola Spinuzza ◽  
Gaetano La Mantia ◽  
Laura Maniscalco ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Screening Tools ◽  
Obstructive Sleep Apnoea Syndrome ◽  
P Value ◽  
Predictive Values ◽  
Sleep Questionnaire ◽  
Sleep Apnoea Syndrome ◽  
Obstructive Sleep

Obstructive sleep apnoea syndrome (OSAS) is the most severe condition on the spectrum of sleep-related breathing disorders (SRBDs). The Paediatric Sleep Questionnaire (PSQ) is one of the most used and validated screening tools, but it lacks the comprehensive assessment of some determinants of OSAS, specifically anamnestic assessment and sleep quality. This study aims to assess the accuracy of some specific items added to the original PSQ, particularly related to the patient’s anamnestic history and to the quality of sleep, for the screening of OSAS in a paediatric population living in Sicily (Italy). Fifteen specific items, divided into “anamnestic” and “related to sleep quality” were added to the original PSQ. The whole questionnaire was administered via a digital form to the parents of children at 4 schools (age range: 3–13 years). For each item, sensitivity and specificity, positive and negative predictive values, and positive and negative likelihood ratios were calculated. The highest sensitivity (80.0, 95% CI: 28.4; 99.5), in combination with the highest specificity (61.1, 95% CI: 35.7; 82.7), was found for the Item 32 (“assumption of bizarre or abnormal positions during sleep”). This item was found statistically significant for predicting the occurrence of OSAS in children (p-value ≤0.003). The study demonstrates the accuracy of specific items related to sleep quality disturbance for the preliminary assessment of the disease. Although these results should be validated on a larger sample of subjects, they suggest that including the factors discriminating sleep quality could further increase the efficiency and accuracy of PSQ.

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