Apneic Events Research Articles

Polysomnography use in complex term and preterm infants to facilitate evaluation and management in the neonatal intensive care unit.

(1) To determine the characteristics of term and preterm infants for whom polysomnography (PSG) was used as a primary diagnostic tool in infants with recurrent desaturation episodes, suspected obstructive apnea, or both, and the prevalence of abnormal studies. (2) To identify the interventions following PSGs. (3) To assess the added value of airway and swallow evaluations. Retrospective cohort study of infants evaluated by PSG in the Neonatal Intensive Care Unit at New York-Presbyterian Hospital-Weill Cornell from January 2012 to April 2018. PSGs were performed on 31 infants; 15 (48%) term and 16 (52%) preterm infants. Indications for PSG were persistent desaturations (n = 24), suspected obstructive apnea (n = 15), and stridor (n = 2). Primary comorbid conditions were respiratory (n = 11), craniofacial (n = 9), airway anomalies (n = 6), and neurologic (n = 5). The apnea-hypopnea index was abnormal in 30 (97%) infants. Of those, 23 (74%) were severe, 7 (23%) were moderate, and 1 was normal (3%). Apneic events were predominantly obstructive in 23 infants and predominantly central in 6. The apnea-hypopnea index improved in all but 1 follow-up PSG. The PSG findings resulted in interventions in 24 (77%) infants, in addition to concomitant otolaryngology evaluations (abnormal in 20/25) and swallow studies (abnormal in 9/14). Clinical signs completely resolved in 22 (71%) infants. This is one of the first reports on the diagnostic value of inpatient PSGs in the neonatal intensive care unit in infants with recurrent desaturation episodes, suspected obstructive apnea, or both. Our findings indicate that PSG is an important tool in evaluating and targeting therapies in complex term and preterm infants with a wide variety of comorbidities. Kim J, Gueye-Ndiaye S, Mauer E, Modi VK, Perlman J, Veler H. Polysomnography use in complex term and preterm infants to facilitate evaluation and management in the neonatal intensive care unit. J Clin Sleep Med. 2021;17(8):1653-1663.

An Evaluation of Twice-Daily Dosing of Caffeine for Apnea of Prematurity.

Preterm infants often require caffeine for the treatment of apnea. While the maintenance dose of caffeine citrate is usually administered once daily per FDA labeling, many providers administer the maintenance dose in two divided doses. This study evaluated the effectiveness of a twice daily dosing regimen of caffeine for apnea of prematurity. This was a retrospective analysis conducted from 2013-2018 that included preterm infants who received caffeine that was dosed both once and twice daily respectively. The primary outcome of our study was a composite of the number of apneic and bradycardic events for five 24-hour periods prior to switching to twice daily dosing of caffeine and five 24-hour periods after switching to twice daily dosing of caffeine. The median five-day average incidence of apnea and bradycardia during the once and twice daily dosing periods was 6.2 events and 6.4 events respectively (p=0.09). There is little benefit of twice daily dosing of caffeine for apnea of prematurity.

Intensity of Respiratory Cortical Arousals Is a Distinct Pathophysiologic Feature and Is Associated with Disease Severity in Obstructive Sleep Apnea Patients.

Background: We investigated whether the number, duration and intensity of respiratory arousals (RA) on C3-electroencephalographic (EEG) recordings correlate with polysomnography (PSG)-related disease severity in obstructive sleep apnea (OSA) patients. We also investigated if every patient might have an individual RA microstructure pattern, independent from OSA-severity. Methods: PSG recordings of 20 OSA patients (9 female; age 27–80 years) were analyzed retrospectively. Correlation coefficients were calculated between RA microstructure (duration, EEG-intensity) and RA number and respiratory disturbance index (RDI), oxygen desaturation index (ODI) and arousal index (AI). Intraclass correlations (ICC) for both RA duration and intensity were calculated. Sleep stage-specific and apnea- and hypopnea-specific analyses were also done. The probability distributions of duration and intensity were plotted, interpolated with a kernel which fits the distribution. A Bayesian posterior distribution analysis and pair-wise comparisons of each patient with all other 19 patients were performed. Results: Of the analyzed 2600 RA, strong positive correlations were found between average RA intensity and both RDI and AI. The number of PSG-recorded RA was strongly positively correlated with RDI. Significant correlations between average RA intensity in REM, NREM2 and NREM3 sleep stages and total ODI were identified. No sleep stage-specific correlations of arousal microstructure with age, sex, RDI or AI were identified. Although between-subjects ICC values were <0.25, within-subject ICC values were all >0.7 (all p < 0.05). While apnea-related RA duration did not differ from hypopnea-related RA duration, RA intensity was significantly higher (p = 0.00135) in hypopneas than in apneas. A clear individual pattern of arousal duration for each patient was made distinct. For arousal intensity, a Gaussian distribution was identified in most patients. The Bayesian statistics regarding the arousal microstructure showed significant differences between each pair of patients. Conclusions: Each individual patient with OSA might have an individual pattern of RA intensity and duration indicating a distinct individual pathophysiological feature. Arousal intensity was significantly higher in hypopneic than in apneic events and may be related causally to the diminished (compared to apneas) respiratory distress associated with hypopneas. RA intensity in REM, NREM2 and NREM3 strongly correlated with ODI.

The utility of preoperative echocardiography in pediatric obstructive sleep apnea.

The purpose of this study was to determine the associations between cardiac function and postoperative adverse events in pediatric patients with obstructive sleep apnea (OSA). Patients between birth and 18years of age diagnosed with OSA between January 1, 2015, and December 31, 2018, who underwent echocardiographic evaluation within 6months of surgery at a tertiary care children's hospital were evaluated. Exclusion criteria included history of neuromuscular disorders, tracheostomy placement, or a predominance of central apneic events recorded during polysomnography (PSG). Patients were grouped by OSA severity. Chi-squared analysis and logistic regression were utilized to determine associations between demographic characteristics, OSA severity, preoperative echocardiographic abnormalities, and postoperative adverse events. One hundred ten children met inclusion criteria for the study, including 22 with mild OSA, 22 with moderate OSA, and 66 with severe OSA. Race and the presence of congenital heart disease (CHD) were significantly associated with differences in OSA severity. Echocardiographic abnormalities were found in 45 patients, but exclusion of patients with CHD revealed no significant associations with differences in OSA severity. Postoperative adverse events were identified in 18 (16%) patients, and only O2 saturation nadir was found to be a significant predictor of these complications. Preoperative echocardiogram abnormalities are not commonly found in children with OSA and presence of abnormalities does not predict postoperative adverse events. O2 saturation nadir measured on preoperative PSG is a significant predictor of postoperative adverse events and should be examined as a clinical indicator of OSA severity.

Heart failure is not a determinant of central sleep apnea in the pediatric population.

Adults with heart failure (HF) have high prevalence of central sleep apnea (CSA). While this has been repeatedly investigated in adults, there is a deficiency of similar research in pediatric populations. The goal of this study was to compare prevalence of CSA in children with and without HF and correlate central apneic events with heart function. Retrospective analysis of data from children with and without HF was conducted. Eligible children were less than 18 years old with echocardiogram and polysomnogram within 6 months of each other. Children were separated into groups with and without HF based on left ventricular ejection fraction (LVEF). Defining CSA as central apnea-hypopnea index (CAHI) more than 1/hour, the cohort was also classified into children with and without CSA for comparative study. A total of 120 children (+HF: 19, -HF: 101) were included. The +HF group was younger, with higher prevalence of trisomy 21, muscular dystrophy, oromotor incoordination, and structural heart disease. The +HF group had lower apnea-hypopnea index (median: 3/hour vs. 8.6/hour) and lower central apnea index (CAI) (median: 0.2/hour vs. 0.55/hour). Prevalence of CSA was similar in both groups (p = .195). LogCAHI was inversely correlated to age (Pearson correlation coefficient: -0.245, p = .022). Children with CSA were younger and had higher prevalence of prematurity (40% vs. 5.3%). There was no significant difference in LVEF between children with and without CSA. After excluding children with prematurity, relationship between CAHI and age was no longer sustained. In contrast to adults, there is no difference in prevalence of CSA in children with and without HF. Unlike in adults, LVEF does not correlate with CAI in children. Overall, it appears that central apneic events may be more a function of age and prematurity rather than of heart function.

A Convolutional Neural Network Architecture to Enhance Oximetry Ability to Diagnose Pediatric Obstructive Sleep Apnea.

This study aims at assessing the usefulness of deep learning to enhance the diagnostic ability of oximetry in the context of automated detection of pediatric obstructive sleep apnea (OSA). A total of 3196 blood oxygen saturation (SpO2) signals from children were used for this purpose. A convolutional neural network (CNN) architecture was trained using 20-min SpO2 segments from the training set (859 subjects) to estimate the number of apneic events. CNN hyperparameters were tuned using Bayesian optimization in the validation set (1402 subjects). This model was applied to three test sets composed of 312, 392, and 231 subjects from three independent databases, in which the apnea-hypopnea index (AHI) estimated for each subject (AHICNN) was obtained by aggregating the output of the CNN for each 20-min SpO2 segment. AHICNN outperformed the 3% oxygen desaturation index (ODI3), a clinical approach, as well as the AHI estimated by a conventional feature-engineering approach based on multi-layer perceptron (AHIMLP). Specifically, AHICNN reached higher four-class Cohen's kappa in the three test databases than ODI3 (0.515 vs 0.417, 0.422 vs 0.372, and 0.423 vs 0.369) and AHIMLP (0.515 vs 0.377, 0.422 vs 0.381, and 0.423 vs 0.306). In addition, our proposal outperformed state-of-the-art studies, particularly for the AHI severity cutoffs of 5 e/h and 10 e/h. This suggests that the information automatically learned from the SpO2 signal by deep-learning techniques helps to enhance the diagnostic ability of oximetry in the context of pediatric OSA.

Three-Stage Breathing Effort Quantification for Obstructive Sleep Apnea Detection Based on Thoracic and Abdominal Movement Signals

A level-IV home-based sleep apnea monitoring system that utilizes alternative sensors, such as dual respiratory inductance plethysmography (RIP) belts, is proposed to promote routine apnea monitoring. Notably, continued excursion may occur in RIP belt signals, owing to the imperfect relationship between thoracic and abdominal movements during obstructive events. Therefore, we propose a novel algorithm to detect obstructive apnea based on an obstructive reciprocal divergence (ORD) continued excursion model and to explore the possibility of a multistage breathing-effort evaluation model using only RIP signals. Using the developed approach, we detected obstructive sleep apnea with a high accuracy of 99.83 ± 0.71% and a slight reduction of 73.34 ± 28.35% in hypopnea performance with overall combined objective metrics of 89.38 ± 10.53%. We found that introducing many stages improves specificity (p $\text{R}^{2}=0.98$ ; p < 0.001). The proposed approach can assist sleep technologists in characterizing obstructive and nonobstructive apneic events. Moreover, ORD is competent for further quantitative and qualitative IFL analysis and will significantly benefit the automated IFL detection system studies.

Sleep-Disordered Breathing Is Associated With Impaired Odor Identification in Older U.S. Adults.

Sleep-disordered breathing (SDB) is a common, underdiagnosed condition in older adults with major health consequences, including disrupted central nervous system functioning. Whether SDB may affect sensory function is unclear. We sought to address this question by comparing 2 forms of olfactory testing which measure peripheral and central olfactory processing. We assessed SDB (survey-reported snoring frequency, nighttime apneic events, or diagnosis of sleep apnea) in the National Social Life, Health, and Aging Project, a nationally representative sample of older U.S. adults. Odor sensitivity (peripheral) and odor identification (central) were assessed with validated instruments. Logistic regression was used to test the relationship between SDB and olfaction, accounting for relevant covariates, including demographics, cognition, and comorbidity. Twenty-nine percent of older U.S. adults reported symptoms of SDB (apneic events or nightly snoring). Of these, only 32% had been diagnosed with sleep apnea. Older adults with SDB (those who reported symptoms or have been diagnosed with sleep apnea) were significantly more likely to have impaired odor identification (odds ratio 2.13, 95% confidence interval 1.19-3.83, p = .012) in analyses that accounted for age, gender, race/ethnicity, education, cognition, comorbidities (including depression), and body mass index. Presence of SDB was not associated with impaired odor sensitivity (odds ratio 1.03, 95% confidence interval 0.75-1.43, p = .84). SDB is highly prevalent but underdiagnosed in older U.S. adults and is associated with impaired odor identification but not odor sensitivity. These data support the concept that SDB affects pathways in the central nervous system which involve chemosensory processing.

Assessment of Nocturnal Autonomic Cardiac Imbalance in Positional Obstructive Sleep Apnea. A Multiscale Nonlinear Approach.

Positional obstructive sleep apnea (POSA) is a major phenotype of sleep apnea. Supine-predominant positional patients are frequently characterized by milder symptoms and less comorbidity due to a lower age, body mass index, and overall apnea-hypopnea index. However, the bradycardia-tachycardia pattern during apneic events is known to be more severe in the supine position, which could affect the cardiac regulation of positional patients. This study aims at characterizing nocturnal heart rate modulation in the presence of POSA in order to assess potential differences between positional and non-positional patients. Patients showing clinical symptoms of suffering from a sleep-related breathing disorder performed unsupervised portable polysomnography (PSG) and simultaneous nocturnal pulse oximetry (NPO) at home. Positional patients were identified according to the Amsterdam POSA classification (APOC) criteria. Pulse rate variability (PRV) recordings from the NPO readings were used to assess overnight cardiac modulation. Conventional cardiac indexes in the time and frequency domains were computed. Additionally, multiscale entropy (MSE) was used to investigate the nonlinear dynamics of the PRV recordings in POSA and non-POSA patients. A total of 129 patients (median age 56.0, interquartile range (IQR) 44.8–63.0 years, median body mass index (BMI) 27.7, IQR 26.0–31.3 kg/m2) were classified as POSA (37 APOC I, 77 APOC II, and 15 APOC III), while 104 subjects (median age 57.5, IQR 49.0–67.0 years, median BMI 29.8, IQR 26.6–34.7 kg/m2) comprised the non-POSA group. Overnight PRV recordings from positional patients showed significantly higher disorderliness than non-positional subjects in the smallest biological scales of the MSE profile (τ = 1: 0.25, IQR 0.20–0.31 vs. 0.22, IQR 0.18–0.27, p < 0.01) (τ = 2: 0.41, IQR 0.34–0.48 vs. 0.37, IQR 0.29–0.42, p < 0.01). According to our findings, nocturnal heart rate regulation is severely affected in POSA patients, suggesting increased cardiac imbalance due to predominant positional apneas.

Bispectral analysis of overnight airflow to improve the pediatric sleep apnea diagnosis

Pediatric Obstructive Sleep Apnea (OSA) is a respiratory disease whose diagnosis is performed through overnight polysomnography (PSG). Since it is a complex, time-consuming, expensive, and labor-intensive test, simpler alternatives are being intensively sought. In this study, bispectral analysis of overnight airflow (AF) signal is proposed as a potential approach to replace PSG when indicated. Thus, our objective was to characterize AF through bispectrum, and assess its performance to diagnose pediatric OSA. This characterization was conducted using 13 bispectral features from 946 AF signals. The oxygen desaturation index ≥3% (ODI3), a common clinical measure of OSA severity, was also obtained to evaluate its complementarity to the AF bispectral analysis. The fast correlation-based filter (FCBF) and a multi-layer perceptron (MLP) were used for subsequent automatic feature selection and pattern recognition stages. FCBF selected 3 bispectral features and ODI3, which were used to train a MLP model with ability to estimate apnea-hypopnea index (AHI). The model reached 82.16%, 82.49%, and 90.15% accuracies for the common AHI cut-offs 1, 5, and 10 events/h, respectively. The different bispectral approaches used to characterize AF in children provided complementary information. Accordingly, bispectral analysis showed that the occurrence of apneic events decreases the non-gaussianity and non-linear interaction of the AF harmonic components, as well as the regularity of the respiratory patterns. Moreover, the bispectral information from AF also showed complementarity with ODI3. Our findings suggest that AF bispectral analysis may serve as a useful tool to simplify the diagnosis of pediatric OSA, particularly for children with moderate-to-severe OSA.

A Review of Current Tools Used for Evaluating the Severity of Obstructive Sleep Apnea.

Obstructive sleep apnea (OSA) is a common and heterogeneous disease characterized by episodic collapse within the upper airways, which leads to reduced ventilation and adverse consequences, including hypoxia, hypercapnia, sleep fragmentation, and long-term effects such as cardiovascular comorbidities. The clinical diagnosis of OSA and its severity classification are often determined based on the apnea–hypopnea index (AHI), defining the number of apneic and hypopnea events per hour of sleep. However, the limitations of the AHI to assess disease severity have necessitated the exploration of other metrics for additional information to reflect the complexity of OSA. Novel parameters such as the hypoxic burden have the potential to better capture the main features of OSA by maximizing the information available from the polysomnogram. These emerging measures have described multidimensional qualities of sleep-disordered breathing events and breathing irregularity and will ultimately result in better management of OSA.

Stridor during sleep: description of 81 consecutive cases diagnosed in a tertiary sleep disorders center.

To describe the characteristics of stridor during sleep (SDS) in a series of adults identified by video-polysomnography (V-PSG). Retrospective clinical, V-PSG, laryngoscopic, and therapeutic data of patients diagnosed with SDS in a tertiary referral sleep disorders center between 1997 and 2017. A total of 81 patients were identified (56.8% males, age 61.8 ± 11.2 years). Related etiologies were multiple system atrophy (MSA), amyotrophic lateral sclerosis, spinocerebellar ataxia type 1, anti-IgLON5 disease, fatal familial insomnia, brainstem structural lesions, vagus nerve stimulation, recurrent laryngeal nerve injury, the effect of radiotherapy on the vocal cords, cervical osteophytes, and others. Stridor during wakefulness coexisted in 13 (16%) patients and in MSA was only seen in the parkinsonian form. Laryngoscopy during wakefulness in 72 (88.9%) subjects documented vocal cord abductor impairment in 65 (90.3%) and extrinsic lesions narrowing the glottis in 2 (2.4%). The mean apnea-hypopnea index (AHI) was 21.4 ± 18.6 and CT90 was 11.5 ± 19.1. Obstructive AHI > 10 occurred in 52 (64.2%) patients and central apnea index >10 in 2 (2.4%). CPAP abolished SDS, obstructive apneic events and oxyhemoglobin desaturations in 58 of 60 (96.7%) titrated patients with optimal pressure of 9.0 ± 2.3 cm H20. Tracheostomy in 19 (23.4%) and cordotomy in 3 (3.7%) subjects also eliminated SDS. SDS in adults is linked to conditions that damage the brainstem, recurrent laryngeal nerve, and vocal cords. V-PSG frequently detects obstructive sleep apnea and laryngoscopy usually shows vocal cord abductor dysfunction. CPAP, tracheostomy, and laryngeal surgery abolish SDS.

A New Approach for Detecting Sleep Apnea Using a Contactless Bed Sensor: Comparison Study.

BackgroundAt present, there is an increased demand for accurate and personalized patient monitoring because of the various challenges facing health care systems. For instance, rising costs and lack of physicians are two serious problems affecting the patient’s care. Nonintrusive monitoring of vital signs is a potential solution to close current gaps in patient monitoring. As an example, bed-embedded ballistocardiogram (BCG) sensors can help physicians identify cardiac arrhythmia and obstructive sleep apnea (OSA) nonintrusively without interfering with the patient’s everyday activities. Detecting OSA using BCG sensors is gaining popularity among researchers because of its simple installation and accessibility, that is, their nonwearable nature. In the field of nonintrusive vital sign monitoring, a microbend fiber optic sensor (MFOS), among other sensors, has proven to be suitable. Nevertheless, few studies have examined apnea detection.ObjectiveThis study aims to assess the capabilities of an MFOS for nonintrusive vital signs and sleep apnea detection during an in-lab sleep study. Data were collected from patients with sleep apnea in the sleep laboratory at Khoo Teck Puat Hospital.MethodsIn total, 10 participants underwent full polysomnography (PSG), and the MFOS was placed under the patient’s mattress for BCG data collection. The apneic event detection algorithm was evaluated against the manually scored events obtained from the PSG study on a minute-by-minute basis. Furthermore, normalized mean absolute error (NMAE), normalized root mean square error (NRMSE), and mean absolute percentage error (MAPE) were employed to evaluate the sensor capabilities for vital sign detection, comprising heart rate (HR) and respiratory rate (RR). Vital signs were evaluated based on a 30-second time window, with an overlap of 15 seconds. In this study, electrocardiogram and thoracic effort signals were used as references to estimate the performance of the proposed vital sign detection algorithms.ResultsFor the 10 patients recruited for the study, the proposed system achieved reasonable results compared with PSG for sleep apnea detection, such as an accuracy of 49.96% (SD 6.39), a sensitivity of 57.07% (SD 12.63), and a specificity of 45.26% (SD 9.51). In addition, the system achieved close results for HR and RR estimation, such as an NMAE of 5.42% (SD 0.57), an NRMSE of 6.54% (SD 0.56), and an MAPE of 5.41% (SD 0.58) for HR, whereas an NMAE of 11.42% (SD 2.62), an NRMSE of 13.85% (SD 2.78), and an MAPE of 11.60% (SD 2.84) for RR.ConclusionsOverall, the recommended system produced reasonably good results for apneic event detection, considering the fact that we are using a single-channel BCG sensor. Conversely, satisfactory results were obtained for vital sign detection when compared with the PSG outcomes. These results provide preliminary support for the potential use of the MFOS for sleep apnea detection.

Heart rate variability spectrum characteristics in children with sleep apnea.

Background:Classic spectral analysis of heart rate variability (HRV) in pediatric sleep apnea-hypopnea syndrome (SAHS) traditionally evaluates the very low frequency (VLF: 0–0.04 Hz), low frequency (LF: 0.04–0.15 Hz), and high frequency (HF: 0.15–0.40 Hz) bands. However, specific SAHS-related frequency bands have not been explored.Methods:1,738 HRV overnight recordings from two pediatric databases (0–13 years) were evaluated. The first one (981 children) served as training set to define new HRV pediatric SAHS-related frequency bands. The associated relative power (RP) were computed in the test set, the Childhood Adenotonsillectomy Trial database (CHAT, 757 children). Their relationships with polysomnographic variables and diagnostic ability were assessed.Results:Two new specific spectral bands of pediatric SAHS within 0–0.15 Hz were related to duration of apneic events, number of awakenings, and wakefulness after sleep onset (WASO), while an adaptive individual-specific new band from HF was related to oxyhemoglobin desaturations, arousals, and WASO. Furthermore, these new spectral bands showed improved diagnostic ability than classic HRV.Conclusions:Novel spectral bands provide improved characterization of pediatric SAHS. These findings may pioneer a better understanding of the effects of SAHS on cardiac function and potentially serve as detection biomarkers.

Deep Recurrent Neural Networks for Automatic Detection of Sleep Apnea from Single Channel Respiration Signals.

Sleep apnea is a common sleep disorder that causes repeated breathing interruption during sleep. The performance of automated apnea detection methods based on respiratory signals depend on the signals considered and feature extraction methods. Moreover, feature engineering techniques are highly dependent on the experts’ experience and their prior knowledge about different physiological signals and conditions of the subjects. To overcome these problems, a novel deep recurrent neural network (RNN) framework is developed for automated feature extraction and detection of apnea events from single respiratory channel inputs. Long short-term memory (LSTM) and bidirectional long short-term memory (BiLSTM) are investigated to develop the proposed deep RNN model. The proposed framework is evaluated over three respiration signals: Oronasal thermal airflow (FlowTh), nasal pressure (NPRE), and abdominal respiratory inductance plethysmography (ABD). To demonstrate our results, we use polysomnography (PSG) data of 17 patients with obstructive, central, and mixed apnea events. Our results indicate the effectiveness of the proposed framework in automatic extraction for temporal features and automated detection of apneic events over the different respiratory signals considered in this study. Using a deep BiLSTM-based detection model, the NPRE signal achieved the highest overall detection results with true positive rate (sensitivity) = 90.3%, true negative rate (specificity) = 83.7%, and area under receiver operator characteristic curve = 92.4%. The present results contribute a new deep learning approach for automated detection of sleep apnea events from single channel respiration signals that can potentially serve as a helpful and alternative tool for the traditional PSG method.

OSAS Treatment with Mandibular Osteotomy Modified Associated with Virtually Planned Orthognathic Surgery

Obstructive sleep apnea (OSA) is a common sleep disorder classically characterized by apneic events that lead to intermittent hypoxia and sleep fragmentation. Its consequences are serious, mainly in terms of quality of life and cardiovascular risk. Orthognathic surgery of the maxillomandibular advancement has increased in popularity as a treatment option for OSAS due to the increase in the entire velo-oro-hypopharyngeal air system. A modified osteotomy is indicated for patients with severe obstructive sleep apnea who already have a prominent profile. In these cases, it is necessary to advance the suprahyoid muscles without changing the facial profile. The genioglossus is crucial to maintaining a pharyngeal patent in the air due to the anterior traction of the tongue. The advancement of the genioglossus muscle has been reported as an option for the surgical treatment of obstructive sleep apnea syndrome, which through its traction can increase the retrolingual airway without altering facial or dental appearance. The present study aims to report a clinical case of a female patient (N.M.A.T.), 52 years old, presenting complaints of lack of concentration and fatigue on light effort, OSAS confirmed by polysomnography and snoring. On facial tomography, retrognathism and reduction of the upper airways were observed. Orthognathic surgery with counterclockwise rotation of the maxillary-mandibular complex, associated mandibular and maxillary advancement was the treatment of choice, associated with the advancement of the genioglossus muscle through modified osteotomy in the anterior portion of the mandible. The virtual planning was carried out for the case, with the preparation of pre and transoperative guides and with the purpose of visualizing the growth of the airways. The patient improved his facial profile and airways due to anterior muscle traction, evolving without complaints.

Central Sleep Apnea

As part 3 of the three chapters on sleep-disordered breathing, this chapter reviews central sleep apnea (CSA). CSA is defined as recurrent apneic events during sleep in the absence of respiratory muscle effort and loss of neuronal output to respiratory muscles. The most common cause of CSA is compromised cardiac function. In patients with CSA whose ejection fraction is less than or equal to 45%, adaptive servo-ventilation (ASV) has been shown to increase mortality. With the abuse of opioids reaching epidemic proportions, it has been estimated that 30 to 75% of patients on chronic opioid therapy have a significant increased incidence of CSA. Opioid-induced sleep-disordered breathing can be treated with ASV. This review contains 1 figure, and 37 references. Key Words: adaptive servo-ventilation, central sleep apnea, Cheyne-Stokes respiration, congenital central hypoventilation syndrome, impaired central ventilatory drive, opioid abuse, PHOX2B gene, supplemental oxygen

Association between sleep disordered breathing, neurocognitive impairment and diastolic function in acute heart failure patients: an insight after the vulnerable phase of the hospitalization.

Sleep disordered breathing (SDB) and neurocognitive impairment (NI) are a typical feature of HF (heart failure), especially with preserved ejection fraction (HFpEF). So far, very few data exist regarding changes in the severity of SDB, the degree of NI, and the diastolic function in acute HF (AHF) patients and during follow up. In a population of 24 AHF patients (12 with reduced ejection fraction-HFrEF- and 12 HFpEF) with SDB a complete echocardiogram, a set of NI tests, and a polysomnography were performed in the acute phase and after 90days. A control group of 12 non-HF patients hospitalized for other cardiovascular causes was considered. At baseline, SDB were present both in HFpEF and HFrEF, and a consistent reduction of apneic events was observed at follow up. Improvements in diastolic and right ventricular function were documented at three months compared to baseline, both in HFpEF and in HFrEF. Compared to HFrEF patients and controls, HFpEF patients showed lower NI scores at baseline tests, but a more significant improvement at three months follow-up. In AHF patients with SDB the achievement of a better compensation could lead to important beneficial effect not only on echocardiographic variables and nocturnal respiratory profile, but also on NI, especially in HFpEF.

Ballistocardiography and seismocardiography detection of hemodynamic changes during simulated obstructive apnea

Objective: To investigate if modern seismocardiography (SCG) and ballistocardiography (BCG) are useful in the detection of hemodynamic changes occurring during simulated obstructive apneic events. Methods: Forty-seven healthy volunteers performed a voluntary maximum Mueller maneuver (MM) for 10 s, and SCG and BCG signals were simultaneously taken. The kinetic energy of a set of cardiac cycles before and during the apneic episode was automatically computed from the rotational and linear channels of the SCG and BCG waveforms and its temporal integral (iK) was derived (unit of measure: microjoules per second (µJ·s)). The estimated transmural pressure (ePTM) was assessed as the difference between systemic blood pressure and maximal inspiratory pressure (MIP). The Wilcoxon sign-rank test was used to evaluate differences in energy measurements between normal respiration and the loaded inspiration maneuver. Cardiac kinetic energies and the MIP produced during the MM were compared by linear regression analysis following log transformation in order to assess the correlation between variables. Main results: The during normal breathing increased from 1.1(0.8; 1.4) to 1.9(1.4; 4.3) µJ·s during MM (p < 0.001). Meanwhile, increased from 54 (31; 92) to 84 (44; 153) µJ·s, (p < 0.001). The and of a set of cardiac cycles during the MM were negatively associated with the MIP (r: −0.59, p < 0.001 and r: −0.53, p = 0.001 for and , respectively). When ePTM was considered, this association became positive (r: +0.58, p < 0.001 and r:+0.60, p < 0.001, for and , respectively). When the iKLIN was considered as the comparative factor, correlations with the MIP and ePTM were weak and insignificant. Men had higher values of iK than women. Significance: Simulated obstructive apnea elicits large rotational iK swings, which are related to the intensity of the inspiratory effort and, as such, to the intensity of the left ventricular afterload. Computation of cardiac kinetic energy through BCG and SCG may shed further light on the impact of obstructive respiratory events on the cardiovascular system.

1138 OSA In A Patient With PFO, Is It The “Perfect Storm” For A Stroke? A Case Series Of 3 Patients With Stroke At Young Age, Due To PFO And Comorbid OSA

Abstract Introduction Approximately 25% of all strokes are cryptogenic in nature, and about 50% of all young patients with cryptogenic stroke are found to have patent foramen ovale (PFO), which is known to be the most common cause of right-to-left shunting (RTLS). Studies have shown a 2.2-fold increase in right-to-left shunt in patients with OSA and PFO, compared to patients with PFO alone. Hence, increasing the risk of cardio-embolic stroke in such patients. We present a case series of 3 patients with PFO that had embolic stroke at a young age and were found to have comorbid OSA, the likely exacerbating factor of a RTLS. Methods A 38-year old female, a 59-year old male, and a 27-year old female presented with stroke-like symptoms without clear vascular pathology. Upon further work-up, all were found to have PFO with RTLS. Subsequently, these patients were referred for sleep evaluation, and each one was found to severe REM-related OSA with prominent oxygen desaturations. All three patients were started on PAP therapy for control of their OSA. Two out of the 3 patients opted for PFO closure, and the 3rd patient opted for anti-platelet therapy alone. He has had no recurrence of TIA/stroke after 12 years so far. Results These cases illustrate a correlation between right-to-left shunting and severe REM-related OSA, through possible elevation of right-sided pressure due to nocturnal desaturations/hypoxemia. Hence, it is worth consideration that the increased right-sided pressure induced by apneic events in sleep may be a potential exacerbating factor in producing stroke-like symptoms sooner in patients with PFO than in patients with PFO who are without OSA. Conclusion It may be beneficial to assess young patients with stroke due to PFO, for comorbid OSA as a cause of the RTLS. This would help to prevent recurrent stroke in such patients and improve quality of life. Support No financial support.