The Profile of Romanian Patient with Central Sleep Apnea and Heart Failure

Abstract Sleep-related breathing disorders are highly prevalent in patients with established cardiovascular disease, especially Heart failure (HF). Central sleep apnea (CSAS) share several pathophysiological features with obstructive sleep apnea, but each with a unique pathology and specific treatment. There are considerably fewer published patient profile reports in association with CSAS-HF. The treatment for association CSAS-HF varies and depends on the etiology of respiratory disorder and leaves considerable room for improvement for future investigations. Despite progress over the last 3 decades, HF continues to have high morbidity and mortality rates. At this time, it is also uncertain whether CSAS is a consequence of HF with reduced ejection fraction or it is in fact a risk factor for the evolution of underlying cardiac pathology. Therefore, this retrospective study highlights the interaction between CSA and HF, with particular attention to age differences, a frequent reported risk factor, in a Romanian large cohort. Were included adults > 18 years old, with sleep apnea syndrome (apnea-hypopnea index-AHI>5 per hour of sleep with at least 50% of central on polygraphy-PG and after on polysomnographic-PSGsleep study) in the presence of sleep symptoms, with known HF with preserved LVEF (>40%) in a previous internal/cardiology department. Were excluded those < 18years old, with other sleep apneas (obstructive, mixed or complex), other sleep disorders (by PSG), inadequate PSG records,or patient refusal. Anthropometric data, clinical findings, vital parameters, comorbidities, treatments and investigations (see below) were analyzed in the population and also in subgroups. The majority of this study population (12 patients) were male, older, with normal weight, symptomatic and comorbidities. As many as 90% of the patients presented severe CSAS and 77.8% associated Cheyne–Stokes respiration (CSR). The comparative analysis of the subgroups in which according to the literature the associated pathologies manifest differently showed that there have not been noted major differences or statistically significant correlation between these two groups and cardiac outcomes.Still, in the group over 65 years we found that people were more predisposed to suffer from high BP, judging by the elevated level of the systolic blood pressure value, and another relevant comorbidities were atrial fibrillation, had more apneas and hypopneas during sleep and severe CSA were the most common. Following titration, AHI, central apnea index, desaturation index decreased with clinically significant. This study appeals to the importance of sleep health, an even more important aspect for Romania, where this associations underreported and even unrecognized, and thus the general condition of patients can worsen. Further research, based on other criteria of difference, is needed as the evidence is still lacking regarding the long-term consequences of CSA and long-term impact of current strategies in HF population.

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Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study (Preprint)

10.2196/preprints.17252 ◽

2019 ◽

Author(s):

Sina Akbarian ◽

Nasim Montazeri Ghahjaverestan ◽

Azadeh Yadollahi ◽

Babak Taati

Keyword(s):

Sleep Apnea ◽

Optical Flow ◽

Central Sleep Apnea ◽

Video Camera ◽

Video Data ◽

Apnea Hypopnea Index ◽

Respiratory Disorder ◽

Obstructive Sleep ◽

Infrared Video ◽

Supervised Classifiers

BACKGROUND Sleep apnea is a respiratory disorder characterized by an intermittent reduction (hypopnea) or cessation (apnea) of breathing during sleep. Depending on the presence of a breathing effort, sleep apnea is divided into obstructive sleep apnea (OSA) and central sleep apnea (CSA) based on the different pathologies involved. If the majority of apneas in a person are obstructive, they will be diagnosed as OSA or otherwise as CSA. In addition, as it is challenging and highly controversial to divide hypopneas into central or obstructive, the decision about sleep apnea type (OSA vs CSA) is made based on apneas only. Choosing the appropriate treatment relies on distinguishing between obstructive apnea (OA) and central apnea (CA). OBJECTIVE The objective of this study was to develop a noncontact method to distinguish between OAs and CAs. METHODS Five different computer vision-based algorithms were used to process infrared (IR) video data to track and analyze body movements to differentiate different types of apnea (OA vs CA). In the first two methods, supervised classifiers were trained to process optical flow information. In the remaining three methods, a convolutional neural network (CNN) was designed to extract distinctive features from optical flow and to distinguish OA from CA. RESULTS Overnight sleeping data of 42 participants (mean age 53, SD 15 years; mean BMI 30, SD 7 kg/m2; 27 men and 15 women; mean number of OA 16, SD 30; mean number of CA 3, SD 7; mean apnea-hypopnea index 27, SD 31 events/hour; mean sleep duration 5 hours, SD 1 hour) were collected for this study. The test and train data were recorded in two separate laboratory rooms. The best-performing model (3D-CNN) obtained 95% accuracy and an F1 score of 89% in differentiating OA vs CA. CONCLUSIONS In this study, the first vision-based method was developed that differentiates apnea types (OA vs CA). The developed algorithm tracks and analyses chest and abdominal movements captured via an IR video camera. Unlike previously developed approaches, this method does not require any attachment to a user that could potentially alter the sleeping condition.

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Abstract 17143: Obstructive and Central Sleep Apnea and Risk of Incident Atrial Fibrillation

Circulation ◽

10.1161/circ.130.suppl_2.17143 ◽

2014 ◽

Vol 130 (suppl_2) ◽

Author(s):

Patricia Tung ◽

Yamini S Levitzky ◽

Rui Wang ◽

Stuart F Quan ◽

Daniel J Gottlieb ◽

...

Keyword(s):

Heart Failure ◽

Atrial Fibrillation ◽

Sleep Apnea ◽

Central Sleep Apnea ◽

Health Study ◽

Apnea Hypopnea Index ◽

Community Based ◽

Obstructive Sleep ◽

History Of

INTRODUCTION: Prior studies have documented a higher prevalence of atrial fibrillation (AF) in those with obstructive sleep apnea (OSA). OSA has been associated with AF recurrence following cardioversion and ablation, and with prevalent and incident AF in cross-sectional and retrospective studies. Central sleep apnea (CSA) also has been associated with AF in patients with heart failure. However, data from prospective cohorts are sparse and few studies have evaluated the association of CSA with AF in population studies. METHODS: We assessed the association of OSA and CSA with incident AF among 3,420 subjects without a history of AF in the Sleep Heart Health Study (SHHS), a prospective, community-based study designed to evaluate the cardiovascular consequences of sleep disordered breathing. Subjects underwent overnight polysomnography at baseline and were followed over time for the development of incident AF, documented at any time after baseline polysomnogram until the end of follow-up. OSA was defined as an obstructive apnea-hypopnea index ≥ 5 and CSA was defined as a central apnea index ≥ 5. RESULTS: At baseline, the sample include 1499 men (44.4%) with a mean age of 62.4 (±10.9); 1569 (45.9%) subjects met criteria for mild to severe OSA and 54 (1.6%) for CSA. Over a mean follow-up of 8.2 years, 382 cases of incident AF were identified. The prevalence of both OSA and CSA was higher among those who developed AF compared to those who did not (OSA 49% vs 44%, p=0.001 and CSA 5% vs 1.2%, p=0.001). After adjustment for multiple AF risk factors, CSA was associated with an approximately 2-fold increased odds of incident AF (RR=2.38, 95% CI, 1.15-4.94; p = 0.02). The association persisted after exclusion of 258 subjects with a history of heart failure (RR=2.78, 95% CI, 1.28-6.04; p = 0.01). We did not find a significant association of OSA with incident AF (Table). CONCLUSION: In our prospective, community-based cohort baseline CSA was associated with incident AF.

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Abstract 2360: Central Sleep Apnea with Nocturnal Hypoxia Promotes Increased Circulating Erythropoietin in Heart Failure

Circulation ◽

10.1161/circ.118.suppl_18.s_709-a ◽

2008 ◽

Vol 118 (suppl_18) ◽

Author(s):

Andrew D Calvin ◽

Virend K Somers ◽

Jennifer M Miller ◽

David P Steensma ◽

Lyle J Olson

Keyword(s):

Heart Failure ◽

Sleep Apnea ◽

Nyha Class ◽

Arterial Oxygen Saturation ◽

Central Sleep Apnea ◽

Arterial Oxygen ◽

Apnea Hypopnea Index ◽

Simple Linear Regression ◽

Class Iii ◽

Obstructive Sleep

Central sleep apnea (CSA) with nocturnal hypoxia is frequent in heart failure (HF). Hypoxia causes increased circulating erythropoietin (EPO) in healthy normals. EPO promotes increased vasoconstriction and exogenous EPO administration is associated with adverse cardiovascular events. No prior studies have related EPO concentration to apnea or hypoxia due to CSA. EPO is elevated in HF patients with nocturnal hypoxia due to CSA. Ambulatory, non-anemic HF patients (n = 29) with LVEF < 45% and healthy controls (n = 18) underwent polysomnography (PSG). Subjects with obstructive sleep apnea (OSA) were excluded. CSA was defined as apnea-hypopnea index (AHI) ≥ 15. Hypoxia was quantified as the proportion of sleep with arterial oxygen saturation < 90% (T90%). Blood for EPO was drawn post-PSG. Other clinical characteristics were summarized from the medical record. HF subjects and controls were similar age (54 vs 60 y, p = 0.09). CSA was present in 14 HF subjects; 13 were men compared to 8 of 15 without CSA (p = 0.04). HF subjects had 42% higher mean EPO than controls (p < 0.01) despite similar hemoglobin (13.9 vs 14.0 g/dL, p = 0.8). NYHA class III–IV HF subjects had 42% higher mean EPO than class I–II HF subjects (p = 0.05, figure ). EPO concentration was correlated with severity of nocturnal hypoxia by simple linear regression (r = 0.4; p = 0.02). By multivariate analysis, elevated EPO was associated with NYHA class III–IV HF and elevated AHI (p = 0.01 and 0.03, respectively; r = 0.6) after adjusting for age, gender, LVEF, renal function and hemoglobin. Nocturnal hypoxia due to CSA promotes increased endogenous EPO concentration in HF patients.

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0622 In-Depth Surveillance of Central Sleep Apnea in Patients with Stable Heart Failure

SLEEP ◽

10.1093/sleep/zsaa056.619 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A238-A238

Author(s):

S Ibrahim ◽

R Wharton ◽

E Harmon ◽

H Bonner ◽

E Davis ◽

...

Keyword(s):

Heart Failure ◽

Multivariate Analysis ◽

Sleep Apnea ◽

Medical Therapy ◽

Systolic Dysfunction ◽

Central Sleep Apnea ◽

Optimal Medical Therapy ◽

Control Group ◽

Apnea Hypopnea Index ◽

Obstructive Sleep

Abstract Introduction Central sleep apnea (CSA) is unique sleep breathing phenotype in patients with advanced chronic heart failure (HF) and portend poor prognosis. The prevalence of CSA in HF patients under contemporary therapy is uncertain. Methods We reviewed consecutive HF patients on optimal medical therapy who underwent clinically indicated diagnostic in-lab polysomnography at a single academic center. Age, sex and BMI matched patients without HF were selected from sleep clinic as a control. Patients with atrial fibrillation were excluded from this study. Apnea subtypes were determined after careful scoring and confirmation by sleep physicians. ‘Any CSA’ was defined by central apnea index (CAI) >5 and >1/hr. ‘True CSA’ was defined if met both CAI≥5/hr and > obstructive apnea index (OAI). Obstructive sleep apnea (OSA) was defined if apnea hypopnea index >15 and OAI>CAI. Multivariate analysis was performed using logistic regression adjusting for age, sex, HF and systolic dysfunction as appropriate. Results In patients with HF (N=95, mean age 59, female: 50%), CSA was low and was comparable to control group (N=94) (HF vs. Non-HF; CSA: 5.3 vs. 4.3%, P=NS; Any CSA 14.7 vs. 17%, P=NS). Only 3 patients with HF had true CSA. In contrast, OSA was common in both groups regardless of obesity status (52.3 vs. 55.3%). In patients with HF, Cheyne Stokes respiration was more frequent in patients with Any CSA vs. without Any CSA (13.3 vs. 3.8%, p=0.04). In multivariate analysis, presence of OSA, but not HF, was associated with Any CSA in entire cohort (Any CSA OR: 3.1 [1.3, 8.1], p=0.02). In patients with HF, male sex was associated with Any CSA (OR: 5.3 [1.1, 40.8], p=0.05). Exclusion of patients with high BMI did not change the results. Conclusion CSA was rare in patients with stable HF on contemporary optimal medical therapy. Support None

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1234 Constrictive Pericarditis, an unlikely cause of Central Sleep Apnea

SLEEP ◽

10.1093/sleep/zsaa056.1228 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A471-A471

Keyword(s):

Heart Failure ◽

Sleep Apnea ◽

Constrictive Pericarditis ◽

Systolic Function ◽

Nyha Class ◽

Central Sleep Apnea ◽

Apnea Hypopnea Index ◽

Heart Catheterization ◽

Post Discharge ◽

Obstructive Sleep

Abstract Introduction Central sleep apnea (CSA) and Cheyne stokes respiration (CSR) is a well-recognized complication of heart failure across multiple New York Heart Association functional classes. We present a case of CSA associated with constrictive pericarditis and normal systolic function. Report of Case 43-year-old male with past medical history of severe obstructive sleep apnea noted to have high residual apnea-hypopnea index (AHi) while using automatic continuous positive airway pressure, suspected to be central events. The patient also had progressive dyspnea on exertion, chest pain, and bilateral transudative pleural effusions. Pulmonary function testing was normal. He underwent a split night PSG which demonstrated severe OSA with AHi 81/hour during baseline. With CPAP titration, AHi was 30/hr, with predominately central events. Transthoracic echocardiogram demonstrated reduced stroke volume (LVOT VTI .085), dilated IVC, and EF 55%, septa! bounce, and annulus reversus (possible constriction). Right and left heart catheterization showed equalization of the diastolic pressures (RA 35 mm Hg, RV 48/30, PA 49/30, PCWP 29, Cl 1.6, SVR 1118 dynes, PVR 216 dynes), no coronary disease, and codominant system. Technetium 99 pyrophosphate scan demonstrated symmetric uptake in left and right ventricles, but abnormal thickening of pericardium suspicious for constrictive pericarditis. His symptoms progressed despite aggressive medical therapy and he was ultimately taken to surgery for pericardiectomy where it was noted his pericardium was extremely thickened and densely adhered to the myocardium, consistent with constrictive pericarditis. There was immediate improvement in hemodynamic status post-operatively. At post discharge follow up, he was NYHA class I, with resolution of all signs of heart failure. Repeat polysomnogram demonstrated persistent OSA, but resolution of CSA at baseline and with CPAP. Conclusion Constrictive pericarditis has not previously been reported as a cause of CSA or CSR. This patient had complete resolution of his heart failure symptoms with definitive resection of his pericardium.

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Distinguishing Obstructive Versus Central Apneas in Infrared Video of Sleep Using Deep Learning: Validation Study

Journal of Medical Internet Research ◽

10.2196/17252 ◽

2020 ◽

Vol 22 (5) ◽

pp. e17252

Author(s):

Sina Akbarian ◽

Nasim Montazeri Ghahjaverestan ◽

Azadeh Yadollahi ◽

Babak Taati

Keyword(s):

Sleep Apnea ◽

Optical Flow ◽

Central Sleep Apnea ◽

Video Camera ◽

Video Data ◽

Apnea Hypopnea Index ◽

Respiratory Disorder ◽

Obstructive Sleep ◽

Infrared Video ◽

Supervised Classifiers

Background Sleep apnea is a respiratory disorder characterized by an intermittent reduction (hypopnea) or cessation (apnea) of breathing during sleep. Depending on the presence of a breathing effort, sleep apnea is divided into obstructive sleep apnea (OSA) and central sleep apnea (CSA) based on the different pathologies involved. If the majority of apneas in a person are obstructive, they will be diagnosed as OSA or otherwise as CSA. In addition, as it is challenging and highly controversial to divide hypopneas into central or obstructive, the decision about sleep apnea type (OSA vs CSA) is made based on apneas only. Choosing the appropriate treatment relies on distinguishing between obstructive apnea (OA) and central apnea (CA). Objective The objective of this study was to develop a noncontact method to distinguish between OAs and CAs. Methods Five different computer vision-based algorithms were used to process infrared (IR) video data to track and analyze body movements to differentiate different types of apnea (OA vs CA). In the first two methods, supervised classifiers were trained to process optical flow information. In the remaining three methods, a convolutional neural network (CNN) was designed to extract distinctive features from optical flow and to distinguish OA from CA. Results Overnight sleeping data of 42 participants (mean age 53, SD 15 years; mean BMI 30, SD 7 kg/m2; 27 men and 15 women; mean number of OA 16, SD 30; mean number of CA 3, SD 7; mean apnea-hypopnea index 27, SD 31 events/hour; mean sleep duration 5 hours, SD 1 hour) were collected for this study. The test and train data were recorded in two separate laboratory rooms. The best-performing model (3D-CNN) obtained 95% accuracy and an F1 score of 89% in differentiating OA vs CA. Conclusions In this study, the first vision-based method was developed that differentiates apnea types (OA vs CA). The developed algorithm tracks and analyses chest and abdominal movements captured via an IR video camera. Unlike previously developed approaches, this method does not require any attachment to a user that could potentially alter the sleeping condition.

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Endothelial dysfunction in obstructive sleep apnea patients

Sleep And Breathing ◽

10.1007/s11325-021-02382-4 ◽

2021 ◽

Author(s):

Michał Harańczyk ◽

Małgorzata Konieczyńska ◽

Wojciech Płazak

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Endothelial Dysfunction ◽

Right Ventricular ◽

Contractile Function ◽

Sleep Apnea Syndrome ◽

Apnea Hypopnea Index ◽

Endothelin 1 ◽

Obstructive Sleep

Abstract Purpose Obstructive sleep apnea syndrome (OSAS) is an independent risk factor for cardiovascular diseases. The aim of the study was to assess the influence of OSAS on endothelial dysfunction and thrombosis biomarkers and to evaluate the effect of treatment with continuous positive airway pressure (CPAP) on biomarker levels. Methods NT-proBNP, sICAM-1, endothelin-1, von Willebrand factor, D-dimers, and thrombin-antithrombin complex (TAT) were measured in 50 patients diagnosed with moderate-to-severe OSAS. All patients underwent transthoracic echocardiography, and 38 months after the inclusion, 16 CPAP users and 22 non-CPAP users were reassessed. Results Sleep-related indices of apnea-hypopnea index (AHI) and mean SpO2 were associated with higher sICAM-1 levels (AHI < 30: 7.3 ± 4.7 vs. AHI ≥ 30: 19.5 ± 19.4 mg/ml, p = 0.04; SpO2 ≥ 90%: 11.9 ± 9.3 vs. SpO2 < 90%: 23.6 ± 25.8, p = 0.04). sICAM-1 levels were significantly higher in obese patients, particularly with BMI ≥ 40. Plasma levels of TAT were significantly correlated with the increased right ventricular size (right ventricular diameter ≤ 37 mm: 0.86 ± 0.70 vs. > 37 mm: 1.96 ± 1.20 ng/ml, p = 0.04). Endothelin-1 levels were higher in patients with decreased right ventricular function (right ventricle TDI-derived S′ ≥ 12 cm/s: 11.5 ± 10.9 vs. < 12 cm/s: 26.0 ± 13.2 pg/ml, p = 0.04). An increase in NT-proBNP was related to impaired parameters of the right ventricular contractile function. There were no correlations between long-term CPAP therapy and the levels of biomarkers. Conclusion Severe OSAS influences endothelial damage as manifested by an increase in sICAM-1 levels. Changes in right ventricular structure and function, observed mainly in patients with higher TAT and endothelin-1 levels, are also manifested by an increase in NT-proBNP levels. Long-term CPAP treatment does not seem to influence biomarkers in patients with moderate-to-severe OSAS, which may help to explain the lack of influence of CPAP on cardiovascular risk reduction.

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393 Comparison of Oxygenation Abnormalities Between Obstructive Sleep Apnea and Central Sleep Apnea

SLEEP ◽

10.1093/sleep/zsab072.392 ◽

2021 ◽

Vol 44 (Supplement_2) ◽

pp. A156-A157

Author(s):

Sikawat Thanaviratananich ◽

Hao Cheng ◽

Maria Pino ◽

Krishna Sundar

Keyword(s):

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Demographic Data ◽

Central Sleep Apnea ◽

Nrem Sleep ◽

Rate Of Change ◽

Apnea Hypopnea Index ◽

P Value ◽

Obstructive Sleep ◽

Cheyne Stokes Breathing

Abstract Introduction The apnea-hypopnea index (AHI) is used as a generic index to quantify both central sleep apnea (CSA) and obstructive sleep apnea (OSA) syndromes. Patterns of oxygenation abnormalities seen in CSA and OSA may be key to understanding differing clinical impacts of these disorders. Oxygen desaturation and resaturation slopes and durations in OSA and CSA were compared between OSA and CSA patients. Methods Polysomnographic data of patients aged 18 years or older with diagnosis of OSA and CSA, at University of Iowa Hospitals and Clinics, were analyzed and demographic data were collected. Oximetric changes during hypopneas and apneas were studied for desaturation/resaturation durations and desaturation/resaturation slopes. Desaturation and resaturation slopes were calculated as rate of change in oxygen saturation (ΔSpO2/Δtime). Comparison of hypoxemia-based parameters between patients with OSA and CSA was performed using unpaired t-test. Results 32 patients with OSA with median AHI of 15.4 (IQR 5.1 to 30.55) and median ODI of 15.47 (IQR 9.50 to 29.33) were compared to 15 patients with CSA with a median AHI of 20.4 (IQR 12.6 to 47.8) and median ODI of 27.56 (IQR 17.99 to 29.57). The mean number of desaturation and resaturation events was not significantly different between patients with OSA and CSA (OSA - 106.81±87.93; CSA - 130.67±76.88 with a p-value 0.1472). 4/15 CSA patients had Cheyne-Stokes breathing, 2/15 had treatment emergent central sleep apnea, 1/15 had methadone-associated CSA and for 8/15, no etiologies for CSA were found. Mean desaturation durations was significantly longer in OSA (20.84 s ± 5.67) compared to CSA (15.94 s ± 4.54) (p=0.0053) and consequently the desaturation slopes were steeper in CSA than OSA (-0.35%/sec ±0.180 vs. -0.243 ± 0.073; p=0.0064). The resaturation duration was not significantly longer in OSA (9.76 s ± 2.02) than CSA (9.057 s ± 2.17) (p=0.2857). Differences between desaturation duration and slopes between CSA and OSA persisted during REM and NREM sleep, and in supine sleep. Conclusion As compared to OSA, patients with CSA have different patterns of desaturations and resaturations with lesser hypoxic burden with CSA. This may have implications on the clinical outcomes seen between these two disorders. Support (if any):

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Nocturnal oxyhemoglobin desaturation during sleep in congestive heart failure patients

Fisioterapia em Movimento ◽

10.1590/1980-5918.029.003.ao18 ◽

2016 ◽

Vol 29 (3) ◽

pp. 597-606

Author(s):

Jéssica Julioti Urbano ◽

Lilian Nanami Uchiyama ◽

Anderson Soares Silva ◽

Roger André Oliveira Peixoto ◽

Sergio Roberto Nacif ◽

...

Keyword(s):

Heart Failure ◽

Congestive Heart Failure ◽

Sleep Apnea ◽

Pulse Oximetry ◽

Arterial Oxygen Saturation ◽

Central Sleep Apnea ◽

Arterial Oxygen ◽

Sleep Breathing Disorders ◽

Breathing Disorders ◽

Obstructive Sleep

Abstract Introduction: Sleep breathing disorders occur in 45% of patients with heart failure, with 36%-50% manifesting Cheyne-Stokes respiration with central sleep apnea and 12% exhibiting obstructive sleep apnea. Several studies have shown that sleep pathophysiology may negatively affect the cardiovascular system and that cardiac dysfunction alters sleep and respiration. Objective: The aim of this study was to examine oxyhemoglobin desaturation during sleep in patients with congestive heart failure (CHF) using overnight pulse oximetry. Methods: Overnight pulse oximetry was conducted in the patients' homes with wrist pulse oximeters and finger probes that were placed around the forefingers of 15 patients with CHF and ejection fractions less than 50%, who were classified as New York Heart Association functional classes II and III. Results: The patients were divided into two groups. The first group consisted of seven patients with oxyhemoglobin desaturation indices of over 5 events/h, and the second group contained eight patients with oxyhemoglobin desaturation indices of 5 or less events/h. Student's t-tests did not show any significant differences between the groups. The patients' body mass indices correlated positively with the total desaturation episodes and desaturation time less than 90% and correlated negatively with the arterial oxygen saturation nadir. Conclusion: Pulse oximetry monitoring during sleep can be used to detect sleep breathing disorders in stable patients with CHF.

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Abstract 15970: Risk of Heart Failure Preserved Ejection Fraction in Obstructive Sleep Apnea: A Single Center Retrospective Analysis

Circulation ◽

10.1161/circ.142.suppl_3.15970 ◽

2020 ◽

Vol 142 (Suppl_3) ◽

Author(s):

Bertrand Ebner ◽

Diego Celli ◽

Morgan Karetnick ◽

Neal Olarte ◽

Marina D Byer ◽

...

Keyword(s):

Heart Failure ◽

Obstructive Sleep Apnea ◽

Sleep Apnea ◽

Ejection Fraction ◽

Clinical Diagnosis ◽

Systolic Pressure ◽

Apnea Hypopnea Index ◽

Preserved Ejection Fraction ◽

Neck Size ◽

Obstructive Sleep

Background: Inherent characteristics of patients with Obstructive Sleep Apnea (OSA), such as age, obesity, diabetes and hypertension increase the risk for cardiovascular diseases including heart failure (HF). Herein, we sought to elucidate if there is an increased likelihood of having heart failure with preserved ejection fraction (HFpEF) as OSA severity increases. Furthermore, we correlated a validated H2FpEF score system in this cohort with clinical and imaging findings for HFpEF. Results: Out of 585 charts reviewed from patients diagnosed with OSA, a total of 108 patients with a concomitant transthoracic echocardiogram (TTE) and electrocardiogram performed were identified. The median age was 59 years old with 55.6% being males and Hispanic predominance 64.5%. The comorbidities found in our cohort involved hypertension (63.9%), diabetes mellitus (30.6%), coronary artery disease (15.7%), HF (13%), atrial fibrillation (8.3%), and stroke (7.4%). Mean BMI was 32.48 kg/m 2 and average neck size 16.02 inches. TTE findings demonstrated an average ejection fraction of 58±7% and mean pulmonary artery systolic pressure of 24±10 mmHg. OSA severity distribution is shown in Table 1. No significant association was found between grade of severity of OSA with clinical diagnosis of HF, nor with diastolic dysfunction by TTE. The average probability of HFpEF by validated score was 50%, and the distribution of the score was the same across severity of OSA (p=0.260). Pearson’s correlation showed a significant positive relationship between age, BMI and PASP, and H2FpEF score (p<0.01 for all), however, no relation was found when correlating with neck size, apnea-hypopnea index and mean oxygen saturation. Conclusion: Although patients with OSA might have a higher H2FpEF score due to inherent characteristics, the clinical diagnosis of HFpEF in our population was lower than expected by H2FpEF score, in which the degree of severity was not associated with a higher H2FpEF score.

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