scholarly journals Adverse respiratory events after general anesthesia in patients at high risk of obstructive sleep apnea syndrome

2015 ◽  
Vol 65 (5) ◽  
pp. 359-366 ◽  
Author(s):  
Daniela Xará ◽  
Júlia Mendonça ◽  
Helder Pereira ◽  
Alice Santos ◽  
Fernando José Abelha
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
High Risk ◽  
General Anesthesia ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
Respiratory Events ◽  
Obstructive Sleep ◽  
Apnea Syndrome ◽  
Adverse Respiratory Events

Relationship between sleep bruxism and sleep respiratory events in patients with obstructive sleep apnea syndrome

2014 ◽  
Vol 18 (4) ◽  
pp. 837-844 ◽  
Author(s):  
Hisashi Hosoya ◽  
Hideki Kitaura ◽  
Takashi Hashimoto ◽  
Mau Ito ◽  
Masayuki Kinbara ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
Sleep Bruxism ◽  
Respiratory Events ◽  
Obstructive Sleep ◽  
Apnea Syndrome

scholarly journals The Association of Obstructive Sleep Apnea Syndrome and Accident Risk in Heavy Equipment Operators

Medicina ◽  
2019 ◽  
Vol 55 (9) ◽  
pp. 599 ◽  
Author(s):  
Hakan Celikhisar ◽  
Gulay Dasdemir Ilkhan
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
High Risk ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
Upper Respiratory Tract ◽  
Heavy Equipment ◽  
Obstructive Sleep ◽  
The Mean ◽  
Apnea Syndrome

Background and Objectives: Obstructive sleep apnea syndrome (OSAS) is the most frequent sleep disorder, characterized by the repeated collapse of the upper respiratory tract during sleep. In this study, we aimed to determine the prevalence of OSAS in heavy equipment operators and to determine the relationship between the work accidents that these operators were involved in and the OSAS symptoms and severity. In doing this, we aimed to emphasize the association of OSAS, which is a treatable disease, and these accidents, which cause loss of manpower, financial hampering, and even death. Materials and Methods: STOP BANG questionnaire was provided to 965 heavy equipment operators and polysomnography (PSG) was performed, in Izmir Esrefpasa Municipality Hospital, to the operators at high risk for OSAS. Demographic data, health status, and accidents of these operators were recorded. Results: All operators who participated in the study were male. The ages of the cases ranged from 35 to 58 and the mean age was 45.07 ± 5.54 years. The mean STOP BANG questionnaire results were 4.36 ± 3.82. In total, 142 operators were identified with high risk for OSAS and PSG could be performed on 110 of these 142 operators. According to the PSG results of the operators, 41 (37.3%) patients had normal findings, while 35 (31.8%) had mild, 20 (18.2%) had moderate, and 14 (12.7%) had severe OSAS. Among those 110 patients, 71 (64.5%) of the cases had no history of any accidents, 25 (22.8%) were almost involved in an accident due to sleepiness, and 14 (12.7%) were actually involved in an accident. There was a statistically significant relationship between the accident rate and OSAS severity (p: 0.009). Conclusion: Based on the data acquired in the present study, a positive correlation was determined between the accident statuses of drivers with OSAS severity. We want to attract attention to the necessity of evaluating the OSAS symptoms in professional heavy equipment operators during the certification period and at various intervals afterwards, and to carry out OSAS evaluations by PSG for those having a certain risk.

scholarly journals Anthropometric Predictors of High Risk of Obstructive Sleep Apnea Syndrome in a Rural Population

2012 ◽  
Vol 19 (1) ◽  
pp. 7-16
Author(s):  
Otilia Niţă ◽  
Lidia Graur ◽  
Dana Popescu ◽  
Alina Popa ◽  
Laura Mihalache ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
High Risk ◽  
Obstructive Sleep Apnea Syndrome ◽  
Rural Population ◽  
Sleep Apnea Syndrome ◽  
Berlin Questionnaire ◽  
Height Ratio ◽  
Obstructive Sleep ◽  
Apnea Syndrome

Anthropometric Predictors of High Risk of Obstructive Sleep Apnea Syndrome in a Rural PopulationObjective. To evaluate which anthropometric parameter better predicts the high risk of obstructive sleep apnea syndrome (OSA) in a rural population. Material and Method. 254 subjects were enrolled. We measured weight, height, waist circumference (WC) and neck circumference (NC) and calculated body mass index (BMI), waist-to-height ratio (WHtR) and neck circumference/height ratio (NC/Height). The risk of OSA was assessed by using Berlin Questionnaire. Results. Subjects with high risk of OSA had a significant higher BMI, WC, WHtR, NC, and NC/Height. A higher percentage of those with large WC (≥80cm and ≥94cm for women and men, respectively) (p<0.001), WHtR ≥0.5 (p<0.001), NC ≥40cm (p=0.004), NC/Height ratio ≥0.23 (p=0.002) had a high risk of OSA. Using ROC curves of anthropometric parameters studied we found that WHtR was the best predictor for high risk of OSA, with AUC of 0.760, 95% CI: 0.699 to 0.815. Conclusions. WHtR was the best predictor for high risk of OSA as assessed by the Berlin Questionnaire.

scholarly journals Obstructive sleep apnea syndrome and high-risk pregnancy

Kontakt ◽  
2019 ◽  
Vol 21 (4) ◽  
pp. 374-379
Author(s):  
Jana Hudecova ◽  
Petr Hosek ◽  
Bretislav Gal ◽  
Ondrej Trcka ◽  
Tomas Kostlivy ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
High Risk ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
High Risk Pregnancy ◽  
Risk Pregnancy ◽  
Obstructive Sleep ◽  
Apnea Syndrome

scholarly journals OSACS score-a new simple tool for identifying high risk for Obstructive Sleep Apnea Syndrome based on clinical parameters

2015 ◽  
Vol 15 (1) ◽  
pp. 50-55 ◽  
Author(s):  
Filip M. Szymanski ◽  
Krzysztof J. Filipiak ◽  
Anna E. Platek ◽  
Anna Hrynkiewicz-Szymanska ◽  
Grzegorz Karpinski ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
High Risk ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
Clinical Parameters ◽  
Simple Tool ◽  
Obstructive Sleep ◽  
Apnea Syndrome
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