scholarly journals Prevalence and factors correlated with hypertension secondary from obstructive sleep apnea

2021 ◽  
Vol 16 ◽  
Author(s):  
Sittichai Khamsai ◽  
Pawornwan Mahawarakorn ◽  
Panita Limpawattana ◽  
Jarin Chindaprasirt ◽  
Wattana Sukeepaisarnjaroen ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Confidence Interval ◽  
Apnea Hypopnea Index ◽  
Clinical Predictors ◽  
Cross Sectional ◽  
Hypertensive Patients ◽  
Obstructive Sleep ◽  
History Of

Background: In 2003, the JNC 7 reported obstructive sleep apnea (OSA) as a cause of secondary hypertension. The prevalence of OSA in hypertension ranges from 30-80%. There are limited data on the prevalence and risk factors of OSA in hypertensive patients. This study thus aimed to evaluate prevalence and clinical predictors of obstructive sleep apnea (OSA) in these patients.Methods: This was a cross-sectional study and conducted at the hypertension clinic at Khon Kaen University’s Srinagarind Hospital, Thailand. We enrolled patients with hypertension treated at the clinic. OSA was defined as apnea-hypopnea index of 5 events/hour or over according to cardiopulmonary monitoring. Patients whose hypertension was due to any other causes were excluded. The prevalence of OSA was calculated and risk factors for OSA were analyzed using multivariate logistic regression.Results: There were 726 hypertensive patients treated at the clinic. Of those, 253 (34.8%) were randomly studied and categorized as either non-OSA (147 patients, 58.1%) or OSA (106 patients, 41.9%). There were four independent factors associated with OSA-induced hypertension: age, sex, history of snoring, and history of headache. Headache had an adjusted odds ratio (95% confidence interval) of 3.564 (95% confidence interval of 1.510, 8.411).Conclusion: Age, male sex, history of snoring, and headache were independent predictors of hypertension caused by OSA.

scholarly journals Risk factors for respiratory complications after adenotonsillectomy in children with obstructive sleep apnea

2015 ◽  
Vol 41 (3) ◽  
pp. 238-245 ◽  
Author(s):  
Renato Oliveira Martins ◽  
Nuria Castello-Branco ◽  
Jefferson Luis de Barros ◽  
Silke Anna Theresa Weber
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Teaching Hospital ◽  
Orotracheal Intubation ◽  
Apnea Hypopnea Index ◽  
Respiratory Complications ◽  
Cross Sectional ◽  
Historical Cohort ◽  
Obstructive Sleep

Objective: To identify risk factors for respiratory complications after adenotonsillectomy in children ≤ 12 years of age with obstructive sleep apnea who were referred to the pediatric ICU (PICU). Methods: A cross-sectional historical cohort study analyzing 53 children after adenotonsillectomy who met predetermined criteria for PICU referral in a tertiary level teaching hospital. The Student's t-test, Mann-Whitney test, and chi-square test were used to identify risk factors. Results: Of the 805 children undergoing adenotonsillectomy between January of 2006 and December of 2012 in the teaching hospital, 53 were referred to the PICU. Twenty-one children (2.6% of all those undergoing adenotonsillectomy and 39.6% of those who were referred to the PICU) had respiratory complications. Of those 21, 12 were male. The mean age was 5.3 ± 2.6 years. A high apnea-hypopnea index (AHI; p = 0.0269), a high oxygen desaturation index (ODI; p = 0.0082), a low SpO2 nadir (p = 0.0055), prolonged orotracheal intubation (p = 0.0011), and rhinitis (p = 0.0426) were found to be independent predictors of respiratory complications. Some of the complications observed were minor (SpO2 90-80%), whereas others were major (SpO2 ≤ 80%, laryngospasm, bronchospasm, acute pulmonary edema, pneumonia, and apnea). Conclusions: Among children up to 12 years of age with OSA, those who have a high AHI, a high ODI, a low SpO2 nadir, or rhinitis are more likely to develop respiratory complications after adenotonsillectomy than are those without such characteristics.

scholarly journals 0910 Prevalence And Risk Factors Of Obstructive Sleep Apnea Syndrome In 3-14 Yearsold Children In Beijing: A Cross-sectional Surveyabstract

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A346-A346
Author(s):  
W Wei
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Positive Rate ◽  
History Of ◽  
Apnea Syndrome

Abstract Introduction To explore the prevalence and risk factors of obstructive sleep apnea syndrome (OSAS) in 3-14 years old children in Beijing. Methods A cross-sectional study of random stratified cluster sampling was conducted on 3-14 years old children and adolescents in Beijing. The preliminary screening was completed through Pediatric Sleep Questionnaire (PSQ) investigation and the diagnosis of OSAS was conducted by polysomnography. Results After random sampling, a total of 11 kindergartens, 7 primary schools and 8 junior high schools from 7 districts of Beijing were involved in the survey. A total of 11420 questionnaires were sent out, and 10743 (94.07%) were recovered. The final effective data were 9198 (effective response rate 85.62%). The age of the investigated children was 8.8±3.8 years. PSQ positive rate was 8.86% (95CI 8.28-9.44%). With diagnostic criteria AHI≥5, the estimated prevalence of OSAS in Beijing children was 5.90% (95%CI 3.72-8.28%); with ICSD-3 diagnostic criteria (OAHI>1), the estimated prevalence was 8.08% (95% CI 5.74-10.62%). Overweight (OR=3.13), frequent allergic rhinitis (OR=6.80) and family snoring history (OR=6.14) were important risk factors for children’s OSAS. Conclusion PSQ was used in Beijing children’s OSAS epidemiological survey with good reliability and validity. The positive rate of the PSQ screening was 8.86% (95CI 8.28-9.44%);the estimated prevalence of OSAS in children aged 3-14 years in Beijing was 5.90% (95%CI 3.72-8.28%) with criteria AHI≥5 and 8.08% (95%CI 5.74-10.62%) with criteria OAHI>1, respectively. Gender, BMI, history of ENT and family history of snoring were important risk factors for children’s OSAS. Support This work was supported by Beijing Municipal Science and Technology Project grant (Z161100000116050 and Z161100003216212) and Beijing Municipal Administration of Hospitals Clinical Technology Innovation Project grant (XMLX201701).

Abstract TMP55: Polysomnographic and Sleep-related Variables Associated to Leukoaraiosis in Patients with Obstructive Sleep Apnea

Stroke ◽  
2017 ◽  
Vol 48 (suppl_1) ◽  
Author(s):  
Kevin R Duque ◽  
Brian Villafuerte ◽  
Fiorella Adrianzen ◽  
Rodrigo Zamudio ◽  
Andrea Mendiola ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Logistic Regression ◽  
Sleep Apnea ◽  
Multinomial Logistic Regression ◽  
Sleep Time ◽  
Cross Sectional Study ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Medical Histories

Introduction: Obstructive sleep apnea (OSA) is a biological plausible risk factor for leukoaraiosis (LA). We tested the hypothesis that polysomnographic (PSG) and sleep-related variables are associated to LA in OSA patients. Methods: Cross-sectional study in which PSG records, medical histories and brain 1.5T MRI were collected from all consecutive patients who had attended a Sleep Medicine Center between 2009-2014. LA was graded from 0 to 9 with the ’Atherosclerosis Risk In Communities’ study scale. OSA was defined by The International Classification of Sleep Disorders, 2014, and its severity categorizing according to apnea-hypopnea index (AHI, <15 mild, 15 to <30 moderate, 30 to <45 severe and ≥45 very severe). A multinomial logistic regression was performed to describe the association between OSA severity and LA (divided into 2 groups: mild-to-moderate LA and non-to-minimal LA). The covariates for all regression models were age, gender, BMI, hypertension, ischemic stroke, myocardial infarction, diabetes and pack-year of smoking. Results: From 82 OSA patients (77% male; mean age 58±9 years, range 19-91), 54 (66%) had LA. Mild-to-moderate LA was found in 13 patients (8 mild and 5 moderate LA) and non-to-minimal LA in 69 (41 minimal and 28 non LA). Spearman’s correlation coefficient between AHI and LA grade was 0.41 (p<0.001). Furthermore, the higher OSA severity, the higher LA severity (p<0.001, for Jonckheere-Terpstra test for ordered alternatives). In the multinomial logistic regression model adjusted for cofounders, severe OSA patients had higher risk for mild or moderate LA (HR 12.8, 95% IC 1.2-141) compared to mild-to-moderate OSA patients. Additionally, self-reported habitual sleep duration from 7 to 9 hours (HR 0.36, 90% IC 0.14-0.90) and proportion of time in apnea/hypopnea over total sleep time (HR 1.04 for one unit increase, 90% IC 1.01-1.08) could be associated with the presence of LA (adjusted only for age and gender). In a multiple regression analysis with all the aforementioned variables, age (p=0.002), diabetes (p=0.003), and OSA severity (p=0.04) were predictors of the presence of LA. Conclusion: Patients with severe OSA had higher risk for mild to moderate LA when compared to patients with mild or moderate OSA.

Utility of Neck, Height, and Tonsillar Size to Screen for Obstructive Sleep Apnea among Obese Youth

2017 ◽  
Vol 158 (4) ◽  
pp. 745-751 ◽  
Author(s):  
Indra Narang ◽  
Suhail Al-Saleh ◽  
Reshma Amin ◽  
Evan J. Propst ◽  
Saadoun Bin-Hasan ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Predictive Ability ◽  
Ambulatory Setting ◽  
Apnea Hypopnea Index ◽  
Predictive Tool ◽  
Anthropometric Measures ◽  
Cross Sectional ◽  
Obese Youth ◽  
Obstructive Sleep

Objectives To determine whether neck:height ratio combined with adenoid and tonsillar size is a good predictive tool for obstructive sleep apnea in obese youth. Study Design Cross-sectional study. Setting Sleep clinics at the Hospital for Sick Children, Toronto, Canada. Subjects and Methods Consented obese individuals aged 8 to 18 years were recruited between 2013 and 2015. Anthropometric measures were obtained by a trained research coordinator in a standardized manner. Otolaryngologists evaluated adenoid and tonsil sizes. Obstructive sleep apnea was diagnosed with an overnight polysomnogram as an obstructive apnea-hypopnea index ≥2. Multivariable logistic regressions investigated the relationship between potential predictors and obstructive sleep apnea. The C-statistic measured the predictive ability. Results Of the 53 subjects (median age, 13 years; 55% males), 28 (53%) were diagnosed with obstructive sleep apnea, with a median index of 10.6 per hour. In a logistic regression controlling for adenoid size, enlarged tonsils were significantly associated with the presence of obstructive sleep apnea ( P < .01). Adding neck:height ratio into the model improved the model predictive ability (C-index increased from 0.73 to 0.84). Controlling for tonsil and adenoid sizes, an increase in neck:height ratio was significantly associated with the presence of obstructive sleep apnea ( P = .01). Conclusion Our study suggests that neck:height ratio combined with tonsillar hypertrophy may have a strong predictive ability for obstructive sleep apnea and may be useful in an ambulatory setting to screen obese youth at high risk. These findings should be confirmed in a larger study.

scholarly journals Obstructive Sleep Apnea as a Predictor of Abnormal Heart Rate Turbulence

2019 ◽  
Vol 9 (1) ◽  
pp. 1 ◽  
Author(s):  
Dominika Urbanik ◽  
Paweł Gać ◽  
Helena Martynowicz ◽  
Małgorzata Poręba ◽  
Maciej Podgórski ◽  
...  
Keyword(s):  
Risk Factors ◽  
Heart Rate ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Holter Monitoring ◽  
Older Age ◽  
Apnea Hypopnea Index ◽  
Heart Rate Turbulence ◽  
Obstructive Sleep ◽  
Independent Risk Factors

Obstructive sleep apnea (OSA) causes dysfunction of the autonomic nervous system, but the exact mechanism has not been fully understood. The aim of this study was to analyse the relationship between the incidence and severity of OSA and heart rate turbulence (HRT). Seventy one patients with clinical suspicion of OSA were qualified to participate in the study. All participants took part in a survey and were subjected to laboratory tests, 24-hour electrocardiogram (ECG) Holter monitoring with HRT analysis and polysomnography. The group with OSA manifested significantly higher turbulence onset (TO) and lower turbulence slope (TS) as compared to the group without OSA. Older age, diabetes, hypertension and higher apnea/hypopnea index (AHI) were found to be independent risk factors for increased TO, whereas older age, higher body mass index (BMI), higher blood glucose levels, hypertension and higher AHI were independent risk factors for TS reduction. The AHI ≥65 criterion indicates abnormal HRT in patients with OSA with 94.9% sensitivity and 50.0% specificity, which gives a prediction accuracy of 85.7%. In summary, OSA should be considered as a predictor of abnormal HRT.

Obstructive Sleep Apnea in Acromegaly and the Effect of Treatment: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 105 (3) ◽  
pp. e23-e31 ◽  
Author(s):  
Matteo Parolin ◽  
Francesca Dassie ◽  
Luigi Alessio ◽  
Alexandra Wennberg ◽  
Marco Rossato ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Meta Analysis ◽  
Upper Airway ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep ◽  
Before And After ◽  
The Difference

Abstract Background Obstructive sleep apnea (OSA) is a common disorder characterized by upper airway collapse requiring nocturnal ventilatory assistance. Multiple studies have investigated the relationship between acromegaly and OSA, reporting discordant results. Aim To conduct a meta-analysis on the risk for OSA in acromegaly, and in particular to assess the role of disease activity and the effect of treatments. Methods and Study Selection A search through literature databases retrieved 21 articles for a total of 24 studies (n = 734). Selected outcomes were OSA prevalence and apnea-hypopnea index (AHI) in studies comparing acromegalic patients with active (ACT) vs inactive (INACT) disease and pretreatment and posttreatment measures. Factors used for moderator and meta-regression analysis included the percentage of patients with severe OSA, patient sex, age, body mass index, levels of insulin-like growth factor 1, disease duration and follow-up, and therapy. Results OSA prevalence was similar in patients with acromegaly who had ACT and INACT disease (ES = −0.16; 95% CI, −0.47 to 0.15; number of studies [k] = 10; P = 0.32). In addition, AHI was similar in ACT and INACT acromegaly patients (ES = −0.03; 95% CI, −0.49 to 0.43; k = 6; P = 0.89). When AHI was compared before and after treatment in patients with acromegaly (median follow-up of 6 months), a significant improvement was observed after treatment (ES = −0.36; 95% CI, −0.49 to −0.23; k = 10; P &lt; 0.0001). In moderator analysis, the percentage of patients with severe OSA in the populations significantly influenced the difference in OSA prevalence (P = 0.038) and AHI (P = 0.04) in ACT vs INACT patients. Conclusion Prevalence of OSA and AHI is similar in ACT and INACT patients in cross-sectional studies. However, when AHI was measured longitudinally before and after treatment, a significant improvement was observed after treatment.

scholarly journals 0722 The Association Between Obstructive Sleep Apnea and Neurobehavioural Function in Men: A Large, Population-Based Cohort Study

SLEEP ◽  
2020 ◽  
Vol 43 (Supplement_1) ◽  
pp. A274-A275
Author(s):  
J L Parker ◽  
R J Adams ◽  
S L Appleton ◽  
Y A Melaku ◽  
A Vakulin
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Total Sleep Time ◽  
Sleep Time ◽  
Inspection Time ◽  
Sleep Disruption ◽  
Clinical Samples ◽  
Apnea Hypopnea Index ◽  
Cross Sectional ◽  
Obstructive Sleep

Abstract Introduction Obstructive sleep apnea (OSA) is linked with impaired vigilance, attention, memory and executive function. However, this evidence largely comes from small experimental studies or larger studies in clinical samples and therefore the scope and magnitude of OSA driven neurobehavioural dysfunction in the general population remains unclear. This study aimed to examine the cross-sectional association between OSA and neurobehavioural function in a large community sample of men. Methods A total of 837 participants from the Men Androgen Inflammation Lifestyle Environment and Stress (MAILES) study, a longitudinal cohort of men 40+ years, underwent full overnight polysomnography. Participants completed the inspection time (IT) test, mini-mental state examination (MMSE), Fuld object memory evaluation (FOME), and trail-making test (TMT) part A (TMT-A) and part B (TMT-B). Using regression models adjusted for multiple important covariates, we examined the association between neurobehavioural function scores, clinical metrics of OSA severity (Apnea-Hypopnea Index (AHI); percentage total sleep time with oxygen saturation &lt;90% (TST90), and measures of sleep disruption (duration of rapid eye movement (REM) and non-REM (NREM) sleep; and total sleep time (TST). Results In multivariable linear regressions, greater TST was associated with worse IT scores (B=13.688, 95% CI [0.134, 27.241], P=0.048) and TMT-B scores (B=19.255, 95% CI [0.931, 37.578], P=0.040). In logistic regressions, greater TST was associated with better MMSE scores (Odds ratio [OR]=0.440, 95% CI [0.194, 0.997], P=0.049); and higher AHI was strongly associated with worse FOME scores in fully adjusted models (OR=1.358, 95% CI [1.252, 1.472], P&lt;0.001). Conclusion The AHI and TST were positively, significantly associated with neurobehavioural function across different domains. This cross-sectional data shows that neurobehavioural function deficits in OSA are directly related to sleep and breathing disruptions. Future large prospective studies are needed to determine if OSA and sleep disruption predict future onset of neurobehavioural dysfunction and cognitive decline. Support National Health and Medical Research Council and the Adelaide Institute for Sleep Health.

Urgent Adenotonsillectomy

2003 ◽  
Vol 99 (3) ◽  
pp. 586-595 ◽  
Author(s):  
Karen A. Brown ◽  
Isabelle Morin ◽  
Chantal Hickey ◽  
John J. Manoukian ◽  
Gillian M. Nixon ◽  
...  
Keyword(s):  
Risk Factors ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Confidence Interval ◽  
Odds Ratio ◽  
Medical Intervention ◽  
Control Group ◽  
Respiratory Complications ◽  
Obstructive Sleep ◽  
Postoperative Respiratory Complications

Background The aim of this study was to determine the frequency and type of respiratory complications after urgent adenotonsillectomy (study group) for comparison with a control group of children undergoing a sleep study and adenotonsillectomy for obstructive sleep apnea syndrome. A second aim was to assess risk factors predictive of respiratory complications after urgent adenotonsillectomy. Methods The perioperative course of children who underwent adenotonsillectomy between January 1, 1999, and March 31, 2001, was reviewed. Two groups of children were identified from two different databases: the hospital database for surgical procedures (the study group) and the sleep laboratory database (the control group). The retrospective chart review focused on the preoperative status (including an evaluation for obstructive sleep apnea), anesthetic management, and need for postoperative respiratory interventions. Results A total of 64 consecutive cases for urgent adenotonsillectomy were identified, and 54 children met the inclusion criteria. Thirty-three children (60%) had postoperative respiratory complications necessitating a medical intervention; 11 (20.3%) required a major intervention (reintubation, ventilation, and/or administration of racemic epinephrine or Ventolin), and 22 (40.7%) required a minor intervention (oxygen administration). Six children (11.1%) required reintubation in the recovery room for respiratory compromise. Risk factors for respiratory complications were an associated medical condition (odds ratio, 8.15; 95% confidence interval, 1.81-36.73) and a preoperative saturation nadir less than 80% (odds ratio, 5.54; 95% confidence interval, 1.15-26.72). Sixteen (49%) of the medical interventions were required within the first postoperative hour. Atropine administration, at induction, decreased the risk of postoperative respiratory complications (odds ratio, 0.18; 95% confidence interval, 0.11-1.050. Control Group Of 75 children who underwent a sleep study and adenotonsillectomy, 44 had sleep apnea and were admitted to hospital after elective adenotonsillectomy. Sixteen (36.4%) children had postoperative respiratory complications necessitating a medical intervention. Six percent of the children (n = 3) required a major medical intervention. No child required reintubation for respiratory compromise. Conclusions Severe obstructive sleep apnea syndrome and an associated medical condition are risk factors for postadenotonsillectomy respiratory complications. Risk reductions strategies should focus on their assessment.

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