scholarly journals A study to estimate prevalence and risk factors of Obstructive Sleep Apnoea Syndrome in a semi-urban Indian population

2017 ◽  
Vol 87 (1) ◽  
Author(s):  
Abhijeet Singh ◽  
Rajendra Prasad ◽  
Rajiv Garg ◽  
Surya Kant ◽  
Giridhar B. Hosmane ◽  
...  
Keyword(s):  
Risk Factors ◽  
High Risk ◽  
Indian Population ◽  
Assessment Tool ◽  
Sleep Apnea Syndrome ◽  
Obstructive Sleep Apnoea Syndrome ◽  
Risk Category ◽  
Berlin Questionnaire ◽  
Predictive Values ◽  
Obstructive Sleep

<p>Obstructive Sleep Apnea Syndrome (OSAS) has been recognised as a major cause of morbidity and mortality in developing countries like India. There is still a paucity of Indian studies regarding the prevalence of OSAS. The current single centre prospective cross-sectional study was undertaken to know prevalence estimates for key symptoms and features that can indicate the presence of OSAS in an Indian population. A survey was conducted on subjects with age groups ≥ 25 years at King George's Medical University, Lucknow, Uttar Pradesh, India from August 2009 to July 2011. Data was recorded during the interview on the basis of Berlin Questionnaire (BQ). Risk factors for OSAS were also evaluated. Risk group categorization for OSAS was done with the help of a questionnaire and overnight polysomnography was performed in each group to measure apnea and hypopnea index (AHI). Out of 1816 subjects, 1512 (response rate 83.3%) finally participated in the survey with mean age 42.6±11.2 years, males 67.9% and females 32.1%. Of them 6.2% were found to be at high-risk OSAS; 12.2% were obese (Body Mass Index ≥30 kg/m<sup>2</sup>) and 33.5% of the obese population were at high-risk OSAS. Among high-risk patients with OSAS, 62.4% had hypertension. Statistically significant and independent risk factors found for OSAS were obesity, large neck size, alcoholism and use of sedatives/tranquillizers. High-risk category predicted an AHI ≥5 with a sensitivity of 86.3% (95% CI 73.1-93.8), specificity of 93.1% (95% CI 89.1-95.7), positive and negative predictive values of 70.9% (95% CI 57.9-81.4) and 97.2% (95% CI 94.1-98.8) respectively. It can be concluded that BQ questionnaire can still be used as a pre-assessment tool for predicting persons at risk for OSAS in clinical practice. Further studies on estimation of prevalence of OSAS by applying BQ are warranted in near future from other regions of India.</p>

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 Daytime Sleepiness Among Young Adult Omani Car Drivers

2018 ◽  
Vol 18 (2) ◽  
pp. 143 ◽  
Author(s):  
Mohammed A. Al-Abri ◽  
Samir Al-Adawi ◽  
Ibrahim Al-Abri ◽  
Faisal Al-Abri ◽  
Atsu Dorvlo ◽  
...  
Keyword(s):  
Young Adult ◽  
Sleep Duration ◽  
Daytime Sleepiness ◽  
Sleep Apnea Syndrome ◽  
University Hospital ◽  
Motor Vehicles ◽  
Obstructive Sleep Apnoea Syndrome ◽  
Berlin Questionnaire ◽  
Nocturnal Sleep ◽  
Obstructive Sleep

Objectives: Sleepiness and fatigue play significant roles in exacerbating the occurrence of car crashes. However, there is a dearth of studies examining the prevalence of sleepiness while driving among Omanis. This study aimedto determine the proportion of young Omani adults who confess to daytime sleepiness while driving and to investigate associations between gender, daytime sleepiness and risk of obstructive sleep apnoea syndrome (OSAS). Methods: This cross-sectional study took place at the Sultan Qaboos University Hospital, Muscat, Oman, between May and July 2014 and included 600 young adult Omani non-commercial drivers. The Berlin Questionnaire and Epworth Sleepiness Scale (ESS) were distributed among the participants, along with additional questions about their sleeping habits. Associations between daytime sleepiness while driving and nocturnal sleep duration, risk of OSAS and gender were determined. Results: A total of 492 private vehicle drivers took part in the study (response rate: 82%), of which 50.4% were male. Overall, 124 Omanis (25.2%) reported experiencing daytime sleepiness while driving at least once per month. There was a significant association between nocturnal sleep duration of <6 hours and sleepiness while driving (P = 0.042). Female participants were significantly more likely to score >10 on the ESS, indicating a greater propensity for daytime sleepiness (P = 0.006). However, male drivers were significantly more likely to report sleepiness while driving (P = 0.001). Conclusion: Sleepiness while driving was common among young male drivers in Oman and might be due to nocturnal sleep deprivation. Further studies are needed so that preventative measures can be developed.Keywords: Motor Vehicles; Traffic Accidents; Sleep; Fatigue; Obstructive Sleep Apnea Syndrome; Oman.

scholarly journals Prevalence of High Risk for Obstructive Sleep Apnoea and Its Risk Factors Among Adults Attending Government Primary Health Clinics in Kuantan

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Md Aris MA ◽  
Amir Hamzah AF ◽  
Abdullah F ◽  
Asha’ari ZA
Keyword(s):  
Risk Factors ◽  
Primary Care ◽  
High Risk ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Berlin Questionnaire ◽  
Health Clinics ◽  
Primary Health ◽  
Younger Age ◽  
Obstructive Sleep

INTRODUCTION: Obstructive sleep apnoea (OSA) is a sleep-related breathing disorder with recurrent episodes of apnoea or hypopnoea occurring during sleep. It is associated with an increased risk of cardiovascular disease. However, there is no applicable study that assesses the risk for OSA at the primary care level. This study aims to assess the prevalence of risk for OSA and its associated risk factors among adults attending primary care clinics. MATERIALS AND METHOD: This cross-sectional study was conducted among 252 adults attending four Klinik Kesihatan in Kuantan, Pahang. A self-administered validated Malay version of the Berlin Questionnaire was used to screen for the High Risk of OSA. The statistical analyses were done using t-statistics and chi-squared test then proceeded with binary logistic regression. RESULTS: The mean age of respondents was 53.3. Most of the respondents were male (54%), Malay (87.7%), and married (79.4%). The prevalence of High Risk for OSA was 32.9%. Among these, 94% of them presented with snoring and 16.9% presented with excessive daytime sleepiness. The risk factors that were significantly associated with High Risk of OSA includes younger age (AOR=0.951 CI=0.923-0.980); higher Body Mass Index (BMI) classification with obese type 1 (AOR=2.604 CI=1.278-5.308), obese type 2 (AOR=3.882 CI=1.078-13.975) and obese type 3 (AOR=6.800 CI=1.164-39.717); higher neck circumference (AOR=1.109 CI=1.007-1.221); hypertension (AOR=2.297 CI=1.122-4.702); and hypercholesterolaemia (AOR=2.040 CI=1.050-3.965). CONCLUSIONS: Nearly one-third of the adults attending primary health clinics were at High Risk for OSA. Screening for OSA was recommended particularly among those of younger age, higher BMI classification, and with co-morbidities.

CARDIOVASCULAR RISKS IN OBSTRUCTIVE SLEEP APNEA SYNDROME WITH IMPROVED SASD07 COMPARE TO STARDUST II

2014 ◽  
pp. 77-86
Author(s):  
Anh Tien Hoang ◽  
Thi Y Nhi Nguyen ◽  
Luu Trinh Nguyen ◽  
Thi Hong Diep Phan ◽  
Huu Cat Nguyen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Sleep Apnea ◽  
Sleep Apnea Syndrome ◽  
Hdl Cholesterol ◽  
Control Group ◽  
Positive Correlation ◽  
Obstructive Sleep ◽  
Apnea Syndrome

Background : Sleep Apnea Syndrome (SAS) is a cause of hypertension, increasingcardiovascular risk and cardiovascular disease such as stroke, coronary artery disease, myocardial infarction, arrhythmias, heart failure, increasing the risk of death in patients with heart disease, independent of other causative factors. So far, in Vietnam there are very few studies on Obstructive Sleep Apnea Syndrome (OSAS) and cardiovascular risk factors . Self-making SASD07 is trustly for detecting OSAS with statistical significiant in comparision with StarDustII (gold criteria). Subjects and Methods: Cross sectional study, comparision with control group: 136 peoples (68 in disease group and 68 in control group). Patients were parallelly measured with StarDustII and SASD07 to detect OSAS and find the corellation with cardiovascular risk factors. Results: There is a positive correlation between SBP with the severity of OSAS (r = 0.459, p < 0.001), positive correlation between DBP with the severity of OSAS (r = 0.352, p < 0.003). No statistically significant differences between severe OSAS and fasting blood glucose, cholesterol, HDL Cholesterol, Non - HDL Cholesterol, LDL Cholesterol and TG median (p > 0.05). There is a positive correlation between AHI and neck circumference (r = 0.511, p < 0.001), waist circumference (r = 0.585, p < 0.001), BMI (r = 0.380, p < 0.01). SASD07 diagnostic value of detecting OSAS compared with StarDustII have Kappa = 0.72, (standard error 0.06, p <0.001). Conclusion: The risk factors related to OSAS in our study is neck circumference, waist circumference, systolic blood pressure, diastolic blood pressure. SASD07 have a good value in diagnosing of OSAS compared with polysomnography StarDustII. Key words: Sleep Apnea Syndrome, cardiovascular risk factor, SASD07.

Relationship Between Obstructive Sleep Apnoea, Oxygen Desaturation and Cardiovascular Risk

2019 ◽  
Vol 70 (10) ◽  
pp. 3582-3586
Keyword(s):  
Risk Factors ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cardiovascular Risk ◽  
Obstructive Sleep Apnoea ◽  
Cardiovascular Events ◽  
Sleep Apnoea ◽  
Oxygen Desaturation ◽  
Obstructive Sleep Apnoea Syndrome ◽  
Obstructive Sleep

Obstructive sleep apnoea syndrome (OSAS) increases the risk cardiovascular events regardless of the presence of previous cardiovascular disease. As both OSAS and coronary heart disease (CHD) have same risk factors it’s often difficult to quantify the proportion of each risk factor in developing cardiac events. The aim of this study was to evaluate the 10-year risk of developing a coronary heart disease (CHD) event or stroke in newly diagnosed OSAS patients. 65 patients diagnosed with OSAS over a period of four months in Oradea Sleep Laboratory were included. Demographic characteristics, anthropometric parameters, clinical and biochemical data, sleep disorder and daytime sleepiness assessment, results of polysomnography were collected in all patients. In 55 selected patients by age range from 34 to 74 years old, cardiovascular risk was assessed using Framingham score calculator. Statistical analysis was performed using SPSS-PC version 7.5 and Stata 10.The estimated 10-years risk of a CHD event was 18.97% (± 9.67) in all cases. It was higher in men (22.17% ± 9.24) compare to women (12.39% ± 6.92) and it was not significantly different by stages of OSAS severity (20.58% ±9.41 in patients with severe OSAS versus 15.4% in mild OSAS), suggesting that apnea hypopnea index is not a major confounding factor. Desaturation of oxygen is a better outcome to define the relation between OSAS and cardiovascular diseases. OSAS and cardiovascular risk factors increased risk for future adverse cardiovascular events related to the severity of oxygen desaturation. Keywords: obstructive sleep apnoea syndrome, cardiovascular events, risk factors, oxygen desaturation

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.

scholarly journals Validation of the Berlin Questionnaire and American Society of Anesthesiologists Checklist as Screening Tools for Obstructive Sleep Apnea in Surgical Patients

2008 ◽  
Vol 108 (5) ◽  
pp. 822-830 ◽  
Author(s):  
Frances Chung ◽  
Balaji Yegneswaran ◽  
Pu Liao ◽  
Sharon A. Chung ◽  
Santhira Vairavanathan ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
High Risk ◽  
Screening Tools ◽  
Surgical Patients ◽  
Apnea Hypopnea Index ◽  
Berlin Questionnaire ◽  
Obstructive Sleep ◽  
American Society ◽  
American Society Of Anesthesiologists ◽  
Stop Questionnaire

Background Because of the high prevalence of obstructive sleep apnea (OSA) and its adverse impact on perioperative outcome, a practical screening tool for surgical patients is required. This study was conducted to validate the Berlin questionnaire and the American Society of Anesthesiologists (ASA) checklist in surgical patients and to compare them with the STOP questionnaire. Methods After hospital ethics approval, preoperative patients aged 18 yr or older and without previously diagnosed OSA were recruited. The scores from the Berlin questionnaire, ASA checklist, and STOP questionnaire were evaluated versus the apnea-hypopnea index from in-laboratory polysomnography. The perioperative data were collected through chart review. Results Of 2,467 screened patients, 33, 27, and 28% were respectively classified as being at high risk of OSA by the Berlin questionnaire, ASA checklist, and STOP questionnaire. The performance of the screening tools was evaluated in 177 patients who underwent polysomnography. The sensitivities of the Berlin questionnaire, ASA checklist, and STOP questionnaire were 68.9-87.2, 72.1-87.2, and 65.6-79.5% at different apnea-hypopnea index cutoffs. There was no significant difference between the three screening tools in the predictive parameters. The patients with an apnea-hypopnea index greater than 5 and the patients identified as being at high risk of OSA by the STOP questionnaire or ASA checklist had a significantly increased incidence of postoperative complications. Conclusions Similar to the STOP questionnaire, the Berlin questionnaire and ASA checklist demonstrated a moderately high level of sensitivity for OSA screening. The STOP questionnaire and the ASA checklist were able to identify the patients who were likely to develop postoperative complications.

scholarly journals Prevalence, Risk Factors, and Comorbidities of Obstructive Sleep Apnea Risk Among a Working Population in Kuwait: A Cross-Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Husain Al-Qattan ◽  
Hamad Al-Omairah ◽  
Khaled Al-Hashash ◽  
Fahad Al-Mutairi ◽  
Mohammad Al-Mutairat ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
High Risk ◽  
Cross Sectional Study ◽  
Health Conditions ◽  
Sectional Study ◽  
Working Population ◽  
Cross Sectional ◽  
Working Adults ◽  
Obstructive Sleep

Background: Obstructive sleep apnea (OSA) affects a considerable proportion of adults globally and is associated with elevated morbidity and mortality. Given the lack of epidemiologic data on the burden of OSA in Kuwait, this study sought to estimate its prevalence, associated risk factors, and comorbid conditions among a working population in Kuwait.Methods: This was a cross-sectional study of a sample of working adults (n = 651) from public institutions in Kuwait. High/low risk for OSA was ascertained according to the Berlin Questionnaire criteria. Participants self-reported their coexisting health conditions. Associations were assessed using Poisson regression with robust variance estimation; adjusted prevalence ratios (aPRs) and 95% confidence intervals (CIs) were estimated.Results: Overall, 20.0% (130/651) of participants were classified as being at high risk for OSA, with more male than female subjects being at high risk (24.0% [56/233] vs. 17.7% [74/418], P = 0.053), though this difference did not gain statistical significance. Moreover, a high risk for OSA was more common among older and obese subjects. Factors associated with increased prevalence of a high risk for OSA included current smoking status (aPR = 1.58, 95% CI: 1.02–2.06), longer hours spent watching television (1.76, 1.10–2.81), and lower self-perceived physical health (2.11, 1.15–3.87). However, decreasing trends in the prevalence of high risk for OSA were observed with frequent engagement in vigorous physical activity and longer nightly sleep duration. Compared to those at a low risk for OSA, the subjects at high risk for OSA were more likely to have insomnia disorder (2.83, 1.81–4.41), diabetes (1.94, 1.15–3.27), hypertension (3.00, 1.75–5.16), and depression (4.47, 1.80–11.08).Conclusion: This study estimated that 1/5 of working adults in Kuwait were at high risk for OSA, and the prevalence varied according to personal characteristics and lifestyle factors. Also, a high risk for OSA classification was associated with multiple comorbid health conditions.

The importance of screening questionnaires in detecting the severity of obstructive sleep apnea

2021 ◽  
Vol 70 (2) ◽  
pp. 75-81
Author(s):  
Šárka Solecká ◽  
Jan Betka ◽  
Karel Matler ◽  
Hana Tomášková
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Pittsburgh Sleep Quality Index ◽  
Neck Circumference ◽  
Berlin Questionnaire ◽  
Hip Circumference ◽  
Obstructive Sleep ◽  
Screening Questionnaires ◽  
Stop Questionnaire

ntroduction: The aim of this study is to compare the importance of screening questionnaires and risk factors in detecting the severity of obstructive sleep apnea (OSA). Methods: The study included 47 patients with suspected OSA. The patients completed 5 screening questionnaires – the Epworth Sleepiness Scale (ESS), the STOP BANG questionnaire, the STOP questionnaire, the Berlin questionnaire (BQ) and the Pittsburgh Sleep Quality Index (PSQI). Subsequently, they were examined by the limited polygraphy. AHI (number of apneas/ hypopneas per 1 hour), t90 desaturation (percentage of sleep time spent in desaturations below 90%) and ODI (number of desaturations ≥ 3% within 1 hour) were compared with questionnaire scores and selected risk factors for OSA (BMI, male gender, hypertension, age, neck circumference, abdominal circumference and abdominal/ hip circumference ratio). Results: The achieved score of any of the monitored questionnaires does not correlate with the value of AHI. BQ, STOP and STOP BANG questionnaires have the relatively highest sensitivity for OSA detection, while the sensitivity of PSQI and ESS is low. The correlation of the ESS, STOP BANG and BQ scores with the t90 desaturation, as well as the ESS and STOP BANG scores with the ODI is statistically signifi cant. The relationship of any of the selected risk factors with the AHI value has not been demonstrated. Desaturation values of t90 and ODI correlated best with BMI, neck circumference and abdominal/ hip circumference ratio. Conclusion: None of the monitored questionnaires is suitable for determining the severity of OSA, it is always necessary to perform a polygraphic or polysomnographic examination of sleep. BQ and STOPBANG are relatively most suitable for OSA screening. They both have high sensitivity and, at the same time, their score correlates with the value of nocturnal hypoxemia. Parameters measuring nocturnal hypoxemia (t90 desaturation, ODI) correlate better with risk factors than AHI. The most important parameters associated with hypoxemia are BMI, neck circumference and abdominal/ hip circumference ratio and it is appropriate to include them in the screening for OSA. Keywords: obstructive sleep apnea – Berlin questionnaire – STOP-Bang questionnaire – STOP questionnaire – Epworth sleepiness scale – Pittsburgh Sleep Quality Index

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