Overlap syndrome between chronic obstructive pulmonary disease and obstructive sleep apnoea in a Southeast Asian teaching hospital

Venkateswaran, S.; Tee, Augustine

doi:10.11622/smedj.2014117

Cited by 22 publications

(13 citation statements)

References 31 publications

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“…Our study showed that 50% patients with severe OSA belonged to the obese category however no significant correlation was observed between AHI and BMI. This is in accordance with the study done by Venkateswaran et al 16 who also showed that BMI did not correlate with degree of AHI. However on the contrary, studies done by Peppard PE et al 17 and others.…”

Section: Discussionsupporting

confidence: 93%

Correlation of Severity of Apnoea Hypopnoea Index (Ahi) With Forced Expiratory Volume 1 (Fev1) in Overlap Syndrome

Meenakshi¹,

Sharma²,

Shanmuganathan³

et al. 2017

jebmh

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BACKGROUND Overlap syndrome was first described by David Flenley in 1980 refers to the coexistence of Chronic Obstructive Pulmonary Disease (COPD) and Obstructive Sleep Apnoea (OSA). The global prevalence of Overlap syndrome is 11-14% and 7.5% in India Overlap patients are at higher risk of developing Nocturnal desaturations, hypertension, congestive heart failure, stroke etc. resulting in greater mortality and morbidity. There are very few studies in India correlating factors like poor lung function, body mass index, high ESS score, MMRC dyspnea grading in COPD patients with OSA .Hence, this study was undertaken to correlate the association and severity of OSA using AHI with Forced Expiratory Volume in 1 sec (FEV1), Body Mass Index (BMI), Modified Medical Research Council dyspnea grade (MRC) and high Epworth Sleepiness Scale (ESS). MATERIALS AND METHODS A prospective observational study, done in 66 COPD patients in Department of Respiratory Medicine, CHRI, Chennai. The diagnosis of COPD was based upon GOLD guidelines 2016. The OSA was diagnosed based on the American Academy of Sleep Medicine guidelines (AASMA). All COPD patients were subjected to detailed clinical history, thorough physical examination, ENT examination to rule out Upper airway obstruction. All patients were asked to fill up the Epworth sleepiness questionnaire. BMI was recorded. Dyspnea grading was done using MMRC scale. Patient was also subjected to Spirometry and overnight Polysomnography,

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Section: Discussionsupporting

confidence: 93%

Correlation of Severity of Apnoea Hypopnoea Index (Ahi) With Forced Expiratory Volume 1 (Fev1) in Overlap Syndrome

Meenakshi¹,

Sharma²,

Shanmuganathan³

et al. 2017

jebmh

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“…Venkateswaren et al . reported a prevalance of 63.9% and Solar et al . reported a prevalance of 65.9% in COPD patients.…”

Section: Discussionmentioning

confidence: 97%

Prevalence of overlap syndrome in chronic obstructive pulmonary disease patients without sleep apnea symptoms

Gündüz

Başoğlu

Taşbakan

2016

Clinical Respiratory J

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Background The co‐existence of chronic obstructive pulmonary disease (COPD) and obstructive sleep apnea (OSA) is a common phenomenon referred to as overlap syndrome (OS). In this study, we evaluated the prevalence of OS in mild hypoxemic COPD patients without OSA symptoms and compared characteristics of OS and COPD patients. Methods Forty‐five COPD patients (mean FEV1 1671.3 ± 532.0 mL) with mild hypoxemia presenting no sleep apnea symptoms (96% men, mean age 67.7 ± 8.5 years) were involved in this study. Clinical characteristics were recorded, biochemical analysis and polygraphy were performed. Results Twenty‐six patients with a RDI of ≥15 events/h were defined as OS (58%). When OS (n = 26) and COPD without OSA (n = 19) groups were compared, BMI (29.6 ± 6.6 vs 25.6 ± 4.9 kg/m2; P = 0.03), TNF‐α level (24.8 ± 8.1 vs 3.6 ± 0.8 ng/mL; P = 0.03) and sleep time with SpO2 < 90% (23.9 ± 29.4 vs 9.7 ± 21.9%; P = 0.02) were significantly increased in OS. Univariate analysis showed a correlation between RDI and BMI (P < 0.01), Epworth score (P = 0.050), COPD exacerbation frequency (P = 0.046) and TNF‐α (P = 0.048). However, multivariate linear regression analysis revealed a significant correlation only between RDI and BMI (P < 0.01). BMI as a predictor of OSA was examined through ROC curve analysis and the area under curve was 0.691 (P = 0.03). To identify OS patients, BMI > 27.2 kg/m2 had a sensitivity of 73% and specificity of 68%. Conclusions This findings support that high prevalence (58%) of OS in COPD patients without OSA symptoms is related to BMI. Therefore, sleep study should be considered in especially overweight or obese COPD patients, even in those without sleep apnea symptoms.

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“…Recent studies estimate that the prevalence of COPD (25,28) is approximately 10% while OSA compromises about 9% to 26% of the adult population. (27,29,30) The overlap syndrome presents considerable prevalence among patients with COPD (7,(31)(32)(33)(34)(35) and carries additional prognostic implications relating to worsening respiratory failure, cardiovascular and other co-morbidities, and ultimately survival. (36) OSA and COPD are common inflammatory systemic disorders with increasing prevalence.…”

Section: Introductionmentioning

confidence: 99%

Prevalence of Overlap Syndrome. Obstructive Sleep Apnea in Patients with Chronic Obstructive Pulmonary Disease. A study protocol.

Oliveira¹,

Silva²,

Beloto³

et al. 2020

mtprehabjournal

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Introduction: Chronic obstructive pulmonary disease (COPD) and Obstructive sleep apnea (OSA) cause an inflammatory response and hypoxia. Patients who have both conditions have increased morbidity and mortality. Overlap syndrome between OSA and COPD is important but under-recognised. Objectives: We aimed to determine the prevalence and severity of overlap syndrome in patients with COPD through the overnight standard polysomnography. Methods/Design: A consecutive single-center cross-sectional study will be performed. The design, conduct and report of this study followed the guidelines of the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement. The sample will be of convenience, recruited consecutively with respiratory complaints that seek care in a private clinic specializing in pulmonology in the city of Cascavel, in the state of Paraná, from September 2016 to July 2017. All subjects will be submitted to the same evaluation protocol described subsequently. Initially will be collected data on baseline demographic, anthropometric and clinical aspects, including body mass index, neck, hip and waist circumferences, respiratory and cardiac rates, peripheral blood pressure, and BODE index. After this phase of the study, patients will perform lung function tests through petismography, sleep studies using the standard overnight PSG, and respond to the Berlin and Pittsburgh questionnaires, and Epworth Sleepiness Scale.

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Overlap syndrome between chronic obstructive pulmonary disease and obstructive sleep apnoea in a Southeast Asian teaching hospital

Cited by 22 publications

References 31 publications

Correlation of Severity of Apnoea Hypopnoea Index (Ahi) With Forced Expiratory Volume 1 (Fev1) in Overlap Syndrome

Correlation of Severity of Apnoea Hypopnoea Index (Ahi) With Forced Expiratory Volume 1 (Fev1) in Overlap Syndrome

Prevalence of overlap syndrome in chronic obstructive pulmonary disease patients without sleep apnea symptoms

Prevalence of Overlap Syndrome. Obstructive Sleep Apnea in Patients with Chronic Obstructive Pulmonary Disease. A study protocol.

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