A potential impact of Helicobacter pylori infection on both obstructive sleep apnea and atrial fibrillation-related stroke

2017 ◽  
Vol 34 ◽  
pp. 256 ◽  
Author(s):  
Constantinos Kountouras ◽  
Stergios A. Polyzos ◽  
Christos Stergiopoulos ◽  
Panagiotis Katsinelos ◽  
Dimitri Tzivras ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Helicobacter Pylori ◽  
Sleep Apnea ◽  
Helicobacter Pylori Infection ◽  
Obstructive Sleep ◽  
Potential Impact

Obstructive sleep apnea in patients with Helicobacter pylori infection

2017 ◽  
Vol 40 ◽  
pp. e210
Author(s):  
A. Maroufi ◽  
N. Shams-Alizadeh ◽  
A. Khalilian ◽  
K. Biglarbegian ◽  
H. Khazaie ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Helicobacter Pylori ◽  
Sleep Apnea ◽  
Helicobacter Pylori Infection ◽  
Obstructive Sleep

scholarly journals Association of Atrial Fibrillation and Obstructive Sleep Apnea

Circulation ◽  
2004 ◽  
Vol 110 (4) ◽  
pp. 364-367 ◽  
Author(s):  
Apoor S. Gami ◽  
Gregg Pressman ◽  
Sean M. Caples ◽  
Ravi Kanagala ◽  
Joseph J. Gard ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep

Meta-Analysis of Continuous Positive Airway Pressure as a Therapy of Atrial Fibrillation in Obstructive Sleep Apnea

2015 ◽  
Vol 116 (11) ◽  
pp. 1767-1773 ◽  
Author(s):  
Waqas T. Qureshi ◽  
Usama bin Nasir ◽  
Shehabaldin Alqalyoobi ◽  
Wesley T. O'Neal ◽  
Sagar Mawri ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Continuous Positive Airway Pressure ◽  
Airway Pressure ◽  
Positive Airway Pressure ◽  
Meta Analysis ◽  
Obstructive Sleep

scholarly journals Impact of pulmonary vein isolation on obstructive sleep apnea in patients with atrial fibrillation

2014 ◽  
Vol 21 (4) ◽  
pp. 392-396 ◽  
Author(s):  
Friedrich Felix Hoyer ◽  
Katharina Henrich ◽  
Jens Kreuz ◽  
Carmen Pizarro ◽  
Jan-Wilko Schrickel ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Pulmonary Vein ◽  
Pulmonary Vein Isolation ◽  
Obstructive Sleep

scholarly journals GJA1 Expression and Left Atrial Remodeling in the Incidence of Atrial Fibrillation in Patients with Obstructive Sleep Apnea Syndrome

Biomedicines ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1463
Author(s):  
Yung-Lung Chen ◽  
Yung-Che Chen ◽  
Ya-Ting Chang ◽  
Hui-Ting Wang ◽  
Wen-Hao Liu ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Crucial Role ◽  
Left Atrial ◽  
Sleep Apnea Syndrome ◽  
Left Ventricular Ejection ◽  
Obstructive Sleep ◽  
Apnea Syndrome

Obstructive sleep apnea syndrome (OSAS) is an important risk factor for atrial fibrillation (AF). GJA1 gene encoding connexin43, a major protein in cardiac gap junctions, plays a crucial role in the synchronized contraction of the heart and in cardiac arrhythmia. However, little is known regarding the role of GJA1 expression in the incidence of AF in patients with OSAS. All prospectively enrolled OSAS patients underwent polysomnography, electrocardiography, a 24-hour Holter test, and echocardiography. Moderate-to-severe OSAS was defined as an apnea-hypopnea index (AHI) ≥ 15. Exosomes were purified from the plasma of all OSAS patients and incubated in HL-1 cells to investigate the effect of exosomes from patients with and without AF on GJA1 expression. A total of 129 patients were recruited for this study; 26 were excluded due to an AHI < 15. Of the 103 enrolled patients, 21 had AF, and 82 did not. Multivariate analysis showed diabetes mellitus, lower sleep efficiency, lower left ventricular ejection fraction, and larger left atrial (LA) size were independent predictors of AF occurrence in OSAS patients. The area under the receiver operating characteristic curve for LA with a size ≥ 38.5 mm for predicting AF occurrence in OSAS patients was 0.795 (95% confidence interval [0.666, 0.925]); p < 0.001). GJA1 expression in HL-1 cells incubated with exosomes from OSAS patients with AF was lower than that with exosomes from patients without AF after controlling for age and sex and was negatively correlated with the AHI and oxygen desaturation index (ODI), especially during the non-rapid eye movement period (NREM) of OSAS patients with AF (all p < 0.05). LA size was an independent predictor of AF occurrence in OSAS patients. The AHI and ODI in the NREM period of OSAS patients with AF were negatively correlated with GJA1 expression in HL-1 cells, which offers a hint that GJA1 may play a crucial role in the development of AF in patients with OSAS.

scholarly journals Cardiorespiratory Polygraphy for Detection of Obstructive Sleep Apnea in Patients With Atrial Fibrillation

2021 ◽  
Vol 8 ◽  
Author(s):  
Michiel Delesie ◽  
Lieselotte Knaepen ◽  
Johan Verbraecken ◽  
Karolien Weytjens ◽  
Paul Dendale ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Screening Tool ◽  
Area Under The Curve ◽  
Screening Tools ◽  
Apnea Hypopnea Index ◽  
Automated Algorithm ◽  
Obstructive Sleep ◽  
At Home

Background: Obstructive sleep apnea (OSA) is a modifiable risk factor of atrial fibrillation (AF) but is underdiagnosed in these patients due to absence of good OSA screening pathways. Polysomnography (PSG) is the gold standard for diagnosing OSA but too resource-intensive as a screening tool. We explored whether cardiorespiratory polygraphy (PG) devices using an automated algorithm for Apnea-Hypopnea Index (AHI) determination can meet the requirements of a good screening tool in AF patients.Methods: This prospective study validated the performance of three PGs [ApneaLink Air (ALA), SOMNOtouch RESP (STR) and SpiderSAS (SpS)] in consecutive AF patients who were referred for PSG evaluation. Patients wore one of the three PGs simultaneously with PSG, and a different PG during each of three consecutive nights at home. Severity of OSA was classified according to the AHI during PSG (&lt;5 = no OSA, 5–14 = mild, 15–30 = moderate, &gt;30 = severe).Results: Of the 100 included AF patients, PSG diagnosed at least moderate in 69% and severe OSA in 33%. Successful PG execution at home was obtained in 79.1, 80.2 and 86.8% of patients with the ALA, STR and SpS, respectively. For the detection of clinically relevant OSA (AHI ≥ 15), an area under the curve of 0.802, 0.772 and 0.803 was calculated for the ALA, STR and SpS, respectively.Conclusions: This study indicates that home-worn PGs with an automated AHI algorithm can be used as OSA screening tools in AF patients. Based on an appropriate AHI cut-off value for each PG, the device can guide referral for definite PSG diagnosis.

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