scholarly journals The prevalence of syndrome Z (the interaction of obstructive sleep apnoea with the metabolic syndrome) in a tertiary care center, Gujarat, India

2018 ◽  
Vol 5 (6) ◽  
pp. 1476
Author(s):  
Bhavesh R. Sureja ◽  
Gaurav D. Bhambhani
Keyword(s):  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Obstructive Sleep Apnoea ◽  
Care Center ◽  
Tertiary Care ◽  
Sleep Apnoea ◽  
Entire Group ◽  
Tertiary Care Center ◽  
The Metabolic Syndrome ◽  
Obstructive Sleep

Background: The interaction of obstructive sleep apnoea (OSA) with vascular risk factors is known as syndrome Z which is also known as the metabolic syndrome or the insulin resistance syndrome and these include the hypertension, central obesity, insulin resistance and hyperlipidaemia. The objective of the present study was to investigate the prevalence and severity of syndrome Z at tertiary care center.Methods: This prospective study was conducted among 40 eligible patients between May and July 2018 at the tertiary care center included adult patients >18years of age. Overnight fasting glucose and lipid levels were measured, and baseline anthropometric data recorded. All sleep studies were scored and reported by a sleep physician. OSA was deemed to be present if the respiratory disturbance index (RDI) was >5, with mild, moderate and severe categories classified according to the Chicago criteria.Results: Mean age of participants was 52.7years, 77.5% were male, Mean BMI and waist circumference were 29.2kg/m2 and 113.8cm respectively. Almost 92.5% participants were known case of HTN, 85.0% were DM and 67.5% Dyslipidemia. Around 60.0% participants were belonged to severe grade of OSAS and 7 (17.5%) patients who fulfilled all five criteria for the diagnosis of the metabolic syndrome had severe OSAS. The prevalence of OSA in the entire group was 95.0%.Conclusions: The prevalence of syndrome Z in present study participants was very high. With the help of history and polysomnogram, metabolic syndrome should be screened for OSA. Early diagnosis and treatment of OSA is the essential part in the treatment of metabolic syndrome and hence CAD.

scholarly journals Obstructive Sleep Apnoea in Pakistan: A Single Tertiary Care Center Experience

Cureus ◽  
2019 ◽  
Author(s):  
Nadia Sultan ◽  
Maham Ajmal ◽  
Imad-ud-din Saqib ◽  
Amen Mobeen ◽  
Mobeen Iqbal ◽  
...  
Keyword(s):  
Obstructive Sleep Apnoea ◽  
Care Center ◽  
Tertiary Care ◽  
Sleep Apnoea ◽  
Tertiary Care Center ◽  
Obstructive Sleep

Obstructive Sleep Apnoea Impairs Heart Rate Variability in Patients with the Metabolic Syndrome

2007 ◽  
Vol 16 ◽  
pp. S84
Author(s):  
B. Weatherhead ◽  
C. Neil ◽  
M. Barnes ◽  
R. Pierce ◽  
A. Collins ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
The Metabolic Syndrome ◽  
Obstructive Sleep

scholarly journals Sleeping Beauty or the Beast? – The Metabolic Syndrome from an Obstructive Sleep Apnoea Perspective

2010 ◽  
Vol 9 (1) ◽  
pp. 12 ◽  
Author(s):  
Lise Tarnow ◽  
Brigitte Klinkenbijl ◽  
Holger Woehrle ◽  
◽  
◽  
...  
Keyword(s):  
Heart Failure ◽  
Cardiovascular Disease ◽  
Metabolic Syndrome ◽  
Obstructive Sleep Apnoea ◽  
Reduce Blood Pressure ◽  
Sleep Apnoea ◽  
Sleeping Beauty ◽  
The Metabolic Syndrome ◽  
Home Based ◽  
Obstructive Sleep

Obstructive sleep apnoea (OSA) is a significant health issue. Patients with cardiovascular disease as well as patients with diabetes have a high prevalence of OSA, and the prevalence of coronary heart disease, heart failure, stroke and diabetes is increased in patients with obstructive sleep apnoea. Physiological responses to OSA include sympathetic activation, neurohumoral changes and inflammation, all of which are precursors for cardiovascular disease and diabetes. International guidelines are starting to recognise the importance of OSA for patients with cardiovascular conditions such as heart failure and hypertension. Diagnosis is important, and home-based sleep testing devices can facilitate this process. Treating OSA with continuous positive airway pressure (CPAP) has been shown to reduce blood pressure (BP) in patients with hypertension, but more research is needed to determine which components of the metabolic syndrome respond best to the addition of CPAP therapy.

scholarly journals Prevalence of metabolic syndrome and its components in patients presenting to tertiary care center

2020 ◽  
Vol 11 (4) ◽  
pp. 53-57
Author(s):  
Ramesh Raj Acharya ◽  
Dipak Kunwar ◽  
Susmita Khadka ◽  
Rajyashree Kunwar ◽  
Adhyashree Karki ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Regression Analysis ◽  
Care Center ◽  
Tertiary Care ◽  
Multivariate Logistic Regression Analysis ◽  
Nationwide Survey ◽  
Survey Study ◽  
Tertiary Care Center ◽  
Cross Sectional ◽  
The Metabolic Syndrome

Background: Globally prevalence of metabolic syndrome ranges from 10 to 84%, depending upon sex, age, race, and ethnicity, region and the definition used. There is limited literature in the prevalence of metabolic syndrome in Nepal. One nationwide survey study reported prevalence of metabolic syndrome is 15% and 16% according to ATP III and IDF criteria respectively. Aims and Objectives: The aims and objective of our study is to study the prevalence of metabolic syndrome and its components in tertiary care center. Material and Methods: This was a descriptive cross-sectional study. We used convenient method of sampling and data collection was done in between May 2019 to July 2019. Bivariate and multivariate logistic regression analysis was done for association of metabolic syndrome with different variables. Results: The total of 362 participants was included in the study. Among them 54.4% were 53 years and above and 45.6% were below 53 years of age. Among all participants 25% were diabetic and 55% were hypertensive. Among all participants metabolic syndrome was found in 45.3%. All components of metabolic syndrome were found to be significantly associated with metabolic syndrome both in bivariate and multiple regression analysis. Conclusion: The metabolic syndrome is very prevalent in our population. These findings prompt the concerned authorities to formulate strategies to prevent the risk factors.

Obstructive sleep apnoea syndrome and the metabolic syndrome in an internal medicine setting

2010 ◽  
Vol 21 (3) ◽  
pp. 191-195 ◽  
Author(s):  
Francesco Angelico ◽  
Maria del Ben ◽  
Teresa Augelletti ◽  
Rosanna de Vita ◽  
Rocco Roma ◽  
...  
Keyword(s):  
Internal Medicine ◽  
Metabolic Syndrome ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Obstructive Sleep Apnoea Syndrome ◽  
Sleep Apnoea Syndrome ◽  
The Metabolic Syndrome ◽  
Obstructive Sleep

scholarly journals Impact of obstructive sleep apnoea on insulin resistance in nonobese and obese children

2016 ◽  
Vol 47 (4) ◽  
pp. 1152-1161 ◽  
Author(s):  
Dorit Koren ◽  
David Gozal ◽  
Mona F. Philby ◽  
Rakesh Bhattacharjee ◽  
Leila Kheirandish-Gozal
Keyword(s):  
Insulin Resistance ◽  
Obstructive Sleep Apnoea ◽  
Rem Sleep ◽  
Sleep Apnoea ◽  
Sleep Fragmentation ◽  
Obese Children ◽  
Insulin Resistant ◽  
Glucose Levels ◽  
The Metabolic Syndrome ◽  
Obstructive Sleep

Obstructive sleep apnoea (OSA) has been inconsistently associated with insulin resistance and adverse metabolic states. We aimed to assess independent contributions of OSA to insulin resistance and dyslipidaemia in a large paediatric cohort.Habitually snoring children underwent overnight polysomnography, anthropometric measurements and fasting laboratory evaluations. Primary outcome measures included insulin, glucose, homeostasis model of insulin resistance, lipoproteins and sleep disturbance measures.Among 459 children aged 5–12 years, obesity was the primary driver of most associations between OSA and metabolic measures, but sleep duration was inversely associated with glucose levels, with N3 and rapid eye movement (REM) sleep being negatively associated and sleep fragmentation positively associated with insulin resistance measures. In children with mild OSA, the presence of obesity increased the odds for insulin resistance, while higher apnoea/hypopnoea index values emerged among obese children who were more insulin-resistant.The exclusive presence of interactions between OSA and obesity in the degree of insulin resistance is coupled with synergistic contributions by sleep fragmentation to insulin resistance in the context of obesity. Insufficient N3 or REM sleep may also contribute to higher glycaemia independently of obesity. Studies are needed to better delineate the roles of puberty and sleep fragmentation in insulin resistance and the metabolic syndrome.

scholarly journals Prevalence of obstructive sleep apnoea in metabolic syndrome

2017 ◽  
Vol 4 (3) ◽  
pp. 722
Author(s):  
A. P. Dubey ◽  
Ashok K. Rajput ◽  
Virender Suhag ◽  
Durgesh Sharma ◽  
Ajay Kandpal ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Obstructive Sleep Apnoea ◽  
Sleep Disordered Breathing ◽  
Early Stage ◽  
Tertiary Care ◽  
Sleep Apnoea ◽  
Factors Associated ◽  
Pedal Oedema ◽  
Obstructive Sleep ◽  
Overnight Polysomnography

Background: The prevalence of both OSA and metabolic syndrome is increasing worldwide, in part linked to the epidemic of obesity. Beyond their epidemiologic relationship, growing evidence suggests that OSA may be causally related to metabolic syndrome. We are only beginning to understand the potential mechanisms underlying the OSA-metabolic syndrome interaction. Objectives were to study the clinical prevalence of obstructive sleep apnoea in metabolic syndrome; and to find risk factors associated with obstructive sleep apnoea (OSA).Methods: 50 patients attending various OPDs of a tertiary care research and referral hospital and found to have metabolic syndrome on the basis of NCEP criteria were selected. These patients were subjected to overnight polysomnography. Parameters such as apnea-hypopnoea index (AHI), respiratory efforts related arousals (RERA), minimum SpO2, pulse rate, blood pressure, and ECG were monitored throughout the study.Results: Central obesity was found in 34 patients, xanthelasmas in 12 patients and xanthomas in 08 patients. Pitting type of pedal oedema was noted in 14 patients. Epworth sleepiness score (ESS) was calculated in all the patients by interviewing them before the polysomnography. Most of the patients have ESS Score more than 11.03 out of 50 patients were found to have AHI<5.20 patients were found to have moderate AHI (AHI 15-30) whereas 22 were found to have severe AHI.Conclusions: Polysomnography provides a valuable tool to access non symptomatic sleep disordered breathing at an early stage in patients with metabolic syndrome.

Sign in / Sign up

Export Citation Format

Share Document