Journal articles: 'Sleep breathing disorder'

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Choi, Soo Jeon. "Sleep Breathing Disorder." Tuberculosis and Respiratory Diseases 63, no. 1 (2007): 5. http://dx.doi.org/10.4046/trd.2007.63.1.5.

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Koirala, Puru, Narendra Bhatta, Ram Hari Ghimire, Deebya Raj Mishra, Bidesh Bista, and Bhupendra Shah. "Overlap of Sleep Disorders and Chronic Respiratory Diseases: An Emerging Health Dilemma." Nepalese Medical Journal 2, no. 2 (December 22, 2019): 243–49. http://dx.doi.org/10.3126/nmj.v2i2.26007.

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Introduction: The burden of Overlap Syndrome (coexistence of sleep-related breathing disorders in patients with respiratory diseases) is high in developing countries, and such a phenomenon implies higher morbidity. The study was conducted to measure the prevalence of sleep-related breathing disorders in patients with Respiratory Symptom Complex and to identify factors associated with the severity of sleep-related breathing disorders.Materials and Methods: A hospital-based cross-sectional study of 50 patients with respiratory symptom complex was conducted at BP Koirala Institute of Health Sciences. Structured proforma and Polysomnography were used for analysis.Results: There were 24 patients (48%) with COPD, 18 (36%) with Bronchial Asthma. 6 patients (12%) with Bronchiectasis and 2 patients with Interstitial Lung Disease. 60% (n=30) patients had sleep-related breathing disorder or Overlap syndrome, 14 patients (46.67%) had mild sleep-related breathing disorder while 16 (53.33%) patients had moderate to severe type. 62.5% COPD patients, 55.55% Bronchial Asthma patients, 50% of patients with Interstitial Lung Disease and 50% Post-TB Bronchiectasis patients had a sleep-related breathing disorder. There was a significant positive correlation between the presence of sleep-related breathing disorder in patients with respiratory symptom complex and high neck circumference (0.499, p-value <0.001), waist circumference (0.293, p-value = 0.039) and hip circumference (0.371, p-value = 0.008).Conclusions: Overlap Disorders comprising sleep disorders in patients with chronic respiratory diseases are high in developing countries. Routine sleep history and polysomnography in all patients with Respiratory Symptom Complex can detect sleep-related breathing disorders.

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Renjen, Pushpendra N., Dinesh Chaudhari, Sudha Kansal, and Mahir Meman. "Stroke-sleep disorder breathing." Apollo Medicine 12, no. 1 (March 2015): 18–21. http://dx.doi.org/10.1016/j.apme.2015.02.008.

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Cheng, Philip, Melynda D. Casement, Chiau-Fang Chen, Robert F. Hoffmann, Roseanne Armitage, and Patricia J. Deldin. "Sleep-disordered breathing in major depressive disorder." Journal of Sleep Research 22, no. 4 (January 25, 2013): 459–62. http://dx.doi.org/10.1111/jsr.12029.

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Krakow, Barry, Ali Artar, Teddy D. Warner, Dominic Melendrez, Lisa Johnston, Michael Hollifield, Anne Germain, and Mary Koss. "Sleep Disorder, Depression, and Suicidality in Female Sexual Assault Survivors." Crisis 21, no. 4 (July 2000): 163–70. http://dx.doi.org/10.1027//0227-5910.21.4.163.

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The role of sleep in psychiatric illness in general, and depression and suicidality in particular, is poorly understood and has not been well researched despite the pervasiveness of sleep complaints in these conditions. As an exploratory, hypothesis-generating study, female sexual assault survivors with posttraumatic stress disorder (n = 153) who had enrolled in a nightmare-treatment program were assessed for subjectively determined sleep breathing and sleep movement disorders. Diagnoses of potential disorders were based on clinical practice parameters and research algorithms from the field of sleep disorders medicine. Potential sleep breathing and sleep movement disorders were present in 80% of the participants (n = 123) and included three subgroups: sleep-disordered breathing only (n = 23); sleep movement disorder only (n = 45); and both sleep disorders (n = 55). Based on the HamiltonDepression Rating Scale and Suicide subscale, participants with potential sleep disorders suffered greater depression (Cohen's d = .73-.96; p < .01) and greater suicidality (Cohen's d = .57-.78; p < .05) in comparison to participants without potential sleep disorders. The group with both sleep disorders suffered from the most severe depression and suicidality. A provisional hypothesis is formulated that describes how sleep disorders may exacerbate depression and suicidality through the effects of chronic sleep fragmentation.

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Han, JinKyu. "0558 Sleep Bruxism and Sleep Breathing Disorder." SLEEP 46, Supplement_1 (May 1, 2023): A246. http://dx.doi.org/10.1093/sleep/zsad077.0558.

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Abstract Introduction Sleep bruxism (SB) is reported by 8-9% of the adult population and is mainly associated with rhythmic masticatory muscle activity (RMMA) characterized by repetitive jaw muscle contractions (3 bursts or more at a frequency of 1 Hz). The purpose of this study was to evaluate the relationship between the nature of sleep bruxism and the sleep breathing disoredr. Methods We prospectively studied 32 patients who were referred to the clinical sleep apnea laboratory for study. They underwent standard nocturnal polysomnographic examination; in addition, masticatory activity was measured with a masseter electromyogram. Patients slept in the supine and lateral decubitus positions. Results Nocturnal clenching was higher in patients with higher respiratory disturbance index. 28 among 32 patients were included in the criteria of obstructive sleep apnea; average respiratory disturbance index (RDI) was 12.7 280 clenches demonstrated in all patients. Conclusion We conclude that there is an association between sleep related breathing disorder and bruxisms that sleep position affects the incidence of both sleep disordered breathing and bruxisms, and that analysis of apneas and hypopneas and clenching events in both supine and lateral decubitus sleeping positions may be helpful. Support (if any)

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Jung, Chaewon, Youngkeun Yoo, Hyun-Woo Kim, and Hyun-Chool Shin. "Detecting Sleep-Related Breathing Disorders Using FMCW Radar." Journal of Electromagnetic Engineering and Science 23, no. 5 (September 30, 2023): 437–45. http://dx.doi.org/10.26866/jees.2023.5.r.189.

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Polysomnography (PSG) is currently the sole method for detecting breathing disorders that occur during sleep, such as apnea and hypopnea. However, PSG monitoring is quite inconvenient for test subjects. This study proposes a non-contact method for detecting sleep-related breathing disorders that uses frequency-modulated continuous wave (FMCW) radar. The proposed method effectively extracts respiratory signals from radar signals and uses the degree of reduction in the amplitude of the respiratory signals and the duration of the reduction interval as data to detect breathing disorder intervals. The experimental results show that the respiratory signals extracted using the proposed method are similar to the actual respiratory signals. Furthermore, the breathing disorder intervals detected during sleep using FMCW radar are consistent with the actual apnea and hypopnea intervals as confirmed by the PSG results. These results demonstrate that the proposed method is suitable for non-contact detection of breathing disorders during sleep using FMCW radar.

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Pigeon, Wilfred R., and Michael J. Sateia. "Is Insomnia a Breathing Disorder?" Sleep 35, no. 12 (December 2012): 1589–90. http://dx.doi.org/10.5665/sleep.2222.

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Janssen, Hennie C. J. P., Lisette N. Venekamp, Geert A. M. Peeters, Angelique Pijpers, and Dirk A. A. Pevernagie. "Management of insomnia in sleep disordered breathing." European Respiratory Review 28, no. 153 (September 30, 2019): 190080. http://dx.doi.org/10.1183/16000617.0080-2019.

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Both obstructive sleep apnoea (OSA) and chronic insomnia disorder are highly prevalent in the general population. Whilst both disorders may occur together by mere coincidence, it appears that they share clinical features and that they may aggravate each other as a result of reciprocally adverse pathogenetic mechanisms. Comorbidity between chronic insomnia disorder and OSA is a clinically relevant condition that may confront practitioners with serious diagnostic and therapeutic challenges. Current data, while still scarce, advocate an integrated and multidisciplinary approach that seems superior over the isolated treatment of each sleep disorder alone.

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Anderson, M., J. Lavela, and T. Mellman. "0457 Sleep-Disordered Breathing Events and Posttraumatic Stress Disorder." Sleep 41, suppl_1 (April 2018): A173. http://dx.doi.org/10.1093/sleep/zsy061.456.

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Trajanovic, Nikola N., M. Shaheed Rasool, Inna Voloh, and Colin M. Shapiro. "Sleep-Disordered Breathing, Cardiac Arrhythmia, and Panic Disorder." Journal of Clinical Sleep Medicine 01, no. 03 (July 15, 2005): 288–89. http://dx.doi.org/10.5664/jcsm.26346.

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Bugalho, Paulo, Marcelo Mendonça, Raquel Barbosa, and Manuel Salavisa. "The influence of sleep disordered breathing in REM sleep behavior disorder." Sleep Medicine 37 (September 2017): 210–15. http://dx.doi.org/10.1016/j.sleep.2017.05.012.

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Subramanian, Shyam, Mary Rose, and Salim Surani. "Depression in Sleep Related Breathing Disorder." Current Respiratory Medicine Reviews 3, no. 4 (November 1, 2007): 282–85. http://dx.doi.org/10.2174/157339807782359968.

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Adegunsoye, Ayodeji, and Siva Ramachandran. "Etiopathogenetic Mechanisms of Pulmonary Hypertension in Sleep-Related Breathing Disorders." Pulmonary Medicine 2012 (2012): 1–10. http://dx.doi.org/10.1155/2012/273591.

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Obstructive sleep apnea syndrome is a common disorder with significant health consequences and is on the rise in consonance with the obesity pandemic. In view of the association between sleep-disordered breathing and pulmonary hypertension as depicted by multiple studies, current clinical practice guidelines categorize obstructive sleep apnea as a risk factor for pulmonary hypertension and recommend an assessment for sleep disordered breathing in evaluating patients with pulmonary hypertension. The dysregulatory mechanisms associated with hypoxemic episodes observed in sleep related breathing disorders contribute to the onset of pulmonary hypertension and identification of these potentially treatable factors might help in the reduction of overall cardiovascular mortality.

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de Weerd, A. "Sleep related breathing disorder: Is it sleep apnea syndrome?" Netherlands Journal of Medicine 54, no. 5 (May 1999): 184–87. http://dx.doi.org/10.1016/s0300-2977(98)00150-8.

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Johnson, Solomon, and S. Mehdi Nouraie. "0523 Disparities in Discussion of Sleep-related Breathing Disorders with a Physician." SLEEP 46, Supplement_1 (May 1, 2023): A231. http://dx.doi.org/10.1093/sleep/zsad077.0523.

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Abstract Introduction Race, immigration status and healthcare access have known associations with sleep health in socially disadvantaged groups. The prevalence and severity of sleep disorders, such as obstructive sleep apnea (OSA) are higher among non-whites and underdiagnosed in socially disadvantaged groups. Associations between sleep health and country of birth have also been identified. Certain minority groups are known to be less likely to report symptoms of OSA or insomnia to a physician. It's therefore possible that propensity for sleep disorder self-report plays a role in disparities of sleep health in socially disadvantaged groups. To our knowledge the predictors of sleep disorder self-report have yet to be studied. We aim to assess the predictors of sleep disorder self-report and analyze for associations with race, immigration status and healthcare access. Methods We conducted a cross-sectional analysis of 9,163 adult (age >18) patients in the National Health and Nutrition Examination Survey 2017-2020 database who answered the sleep disorders questionnaire and had race, immigration status and healthcare access data. Any answer to “How often do you snort or stop breathing (during sleep)?” was used as a surrogate endpoint for symptoms of OSA. “Yes” to “Ever told a doctor that you had trouble sleeping?” was used as a surrogate endpoint for sleep disorder self-report. We analyzed this cohort for associations between demographic characteristics, symptoms of OSA and sleep disorder self-report with survey sampling weights in STATA 17.0. Results In patients with symptoms of OSA (24%), measures of limited healthcare access, such as lack of health insurance (OR=1.59, p=0.030), or lack of location routinely visited for healthcare needs (OR=1.77, p=0.024), predicted higher likelihood of sleep disorder symptom non-disclosure, after adjustment for sex, age, and BMI. Non-white race (OR=1.70, p< 0.001) and being an immigrant (OR=2.40, p< 0.001) predicted higher likelihood of sleep disorder symptom non-disclosure in patients without symptoms of OSA, but not in patients with symptoms of OSA, after adjustment for sex, age, and BMI. Conclusion Our findings indicate that patients with limited healthcare access should be considered more strongly for sleep health evaluation and that non-white and immigrant patients are less likely to discuss sleep health with a physician. Support (if any)

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Torres-Nunes, Luiza, Patrícia Prado da Costa-Borges, Laisa Liane Paineiras-Domingos, José Alexandre Bachur, Danúbia da Cunha de Sá-Caputo, and Mario Bernardo-Filho. "Sleep Disorder Prevalence among Brazilian Children and Adolescents with Down Syndrome: An Observational Study." Applied Sciences 13, no. 6 (March 21, 2023): 4014. http://dx.doi.org/10.3390/app13064014.

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Background: Down syndrome (DS) is the most common chromosomal disorder and is related to congenital heart disease, sleep disorders and obesity. Sleep problems are common in DS children, including obstructive sleep apnea. This study aimed to investigate the prevalence of sleep disorders in a group of 41 DS children and adolescents, by two validated questionnaires. Methods: This is a qualitative observational study. The guardians of DS individuals (1–17 years old) answered two questionnaires (sleep questionnaire by Reimão and Lefévre–QRL and sleep disorders scale for children–SDSC) using the Google forms tool. Results: Most DS children wake up at least once during the night (68.28%), sleep during the day (56%) and fall asleep within 15 to 30 min (36.58%), urinate in the sleep at night (53.65%), move around a lot while sleeping at night (78.04) and snore at night (53.66%). In SDSC, 36.59% (n = 15) have some sleep disorder and 29.3% (n = 12) have sleep-disordered breathing. Conclusions: The DS children and adolescents present sleep-compromising factors. Moreover, obstructive sleep apnea is the most prevalent sleep-disordered breathing. Considering the findings of the current study, Google forms is an important tool to evaluate the sleep disorders of DS children and adolescents.

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Trapeznikova, A. Yu, N. A. Petrova, G. I. Obraztsova, Yu V. Sviryaev, E. V. Boytsova, and D. O. Ivanov. "Sleep-related breathing disorders and BPD-associated pulmonary hypertension in preterm infants." Voprosy ginekologii, akušerstva i perinatologii 20, no. 6 (2021): 135–42. http://dx.doi.org/10.20953/1726-1678-2021-6-135-142.

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This article presents current data on the features of sleep-related breathing disorders in preterm infants with bronchopulmonary dysplasia (BPD) and pulmonary hypertension. The data on BPD-associated pulmonary hypertension, morphological changes in lung tissue, possible complications and clinical outcomes in this pathology were summarized. The basic data on intermittent hypoxic episodes, apnea and periodic breathing and their influence on the development and maintenance of pulmonary hypertension were reviewed. The methods were described that allow to accurately differentiate the character of sleep-related breathing disorders for the purpose of timely diagnosis and correction of therapy. The feasibility of using polysomnography and cardiorespiratory sleep monitoring as diagnostic methods for this category of patients was substantiated. Key words: BPD-associated pulmonary hypertension, breathing disorder, preterm infants

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Srinisha M, Karthik Ganesh Mohanraj, and Hemavathy Muralidoss. "Association between sleep-related breathing disorder and depression in young adults and aged population - A survey." International Journal of Research in Pharmaceutical Sciences 11, SPL3 (October 21, 2020): 1659–67. http://dx.doi.org/10.26452/ijrps.v11ispl3.3492.

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The aim of the study was to create awareness about depression caused by improper sleep due to breathing disorder. It also aims in creating awareness about the necessity of treatment of obstructive sleep apnea. Sleep related breathing disorders refers to abnormal respiration during sleep. Obstructive sleep apnea refers to recurrent episodes of partial or complete closure of the upper airway resulting in disturbed breathing while sleeping. It reduces the quality of life. Untreated OSA leads to cardiovascular diseases including coronary artery disease, stroke and atrial fibrillation. It is a survey based study conducted in an online setting, done among the Chennai population. The sample size is 100 people. Sampling method used is simple random sampling. Randomisation was done to minimise bias. Internal validity was a pre tested questionnaire. External validity was Homogenisation, replication of experiment and cross verification with existing studies. Data analysis was done in SPSS software. Statistical test used was the chi-square test. Dependent variables were demographics such as age, gender. Independent variables were sleep related breathing problems and depression. From this online based survey, it was found that 97% people were aware of OSA and 99% of people were aware that untreated OSA could lead to many complications. This survey aims in creating awareness among people about sleep related breathing disorder and depression in young adults and aged population.

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Jun, Jonathan C., Swati Chopra, and Alan R. Schwartz. "Sleep apnoea." European Respiratory Review 25, no. 139 (February 29, 2016): 12–18. http://dx.doi.org/10.1183/16000617.0077-2015.

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Sleep apnoea is a disorder characterised by repetitive pauses in breathing during sleep caused by airway occlusion (obstructive sleep apnoea) or altered control of breathing (central sleep apnoea). In this Clinical Year in Review, we summarise high-impact research from the past year pertaining to management, diagnosis and cardio-metabolic consequences of sleep apnoea.

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Chen, Yen-Chin, Chang-Chun Chen, Patrick J. Strollo, Chung-Yi Li, Wen-Chien Ko, Cheng-Yu Lin, and Nai-Ying Ko. "Differences in Sleep Disorders between HIV-Infected Persons and Matched Controls with Sleep Problems: A Matched-Cohort Study Based on Laboratory and Survey Data." Journal of Clinical Medicine 10, no. 21 (November 8, 2021): 5206. http://dx.doi.org/10.3390/jcm10215206.

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Objectives: Sleep disturbances are prevalent problems among human immunodeficiency virus (HIV)-infected persons. The recognition of comorbid sleep disorders in patients with HIV is currently hampered by limited knowledge of sleep-related symptoms, sleep architecture, and types of sleep disorders in this population. We aimed to compare the differences in sleep-related symptoms and polysomnography-based sleep disorders between HIV-infected persons and controls. Methods: The study evaluated 170 men with a Pittsburgh sleep quality index scores greater than 5, including 44 HIV-infected men and 126 male controls who were frequency-matched by sex, age (±3.0 years) and BMI (±3.0 kg/m2). For all participants, an overnight sleep study using a Somte V1 monitor was conducted. Differences in sleep-related symptoms and sleep disorders between HIV-infected patients and controls were examined using t-tests or chi-square tests. Results: HIV-infected persons with sleep disturbances more often had psychological disturbances (72.7% vs. 40.5%, p < 0.001) and suspected rapid eye movement behavior disorder (25.0% vs. 4.8%, p < 0.01) than controls. Sleep-disordered breathing was less common in HIV-infected persons than in controls (56.8% vs. 87.3%, p < 0.001). The mean percentage of rapid eye movement sleep was higher among HIV-infected patients than among controls (20.6% vs. 16.6%, p < 0.001). Nocturia was more common in HIV-infected persons than in controls (40.9% vs. 22.2%, p = 0.02). Conclusions: Psychological disturbances and sleep-disordered breathing can be possible explanations of sleep disturbances in HIV-infected persons in whom sleep-disordered breathing is notable. Further studies are warranted to examine the underlying factors of rapid eye movement behavior disorder among HIV-infected persons with sleep disturbances.

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Kemlink, David. "Sleep related breathing disorder in neuromuscular diseases." Neurologie pro praxi 23, no. 3 (June 16, 2022): 211–16. http://dx.doi.org/10.36290/neu.2022.038.

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Luyt, David. "Book Review: Sleep Disorder Breathing in Children." Chronic Respiratory Disease 10, no. 2 (April 25, 2013): 108. http://dx.doi.org/10.1177/1479972313485458.

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Zarpellon, Raquel Simone Maccarini, Regina Maria Vilela, Rosana Bento Radominski, and Ana Chrystina de Souza Crippa. "553 Assessment of sleep disorders in children and adolescents with obesity." Sleep 44, Supplement_2 (May 1, 2021): A219. http://dx.doi.org/10.1093/sleep/zsab072.551.

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Abstract Introduction When studying the inherent aspects of sleep it is important to assess how the quality and quantity of sleep in the last two decades may be one of the reasons for the increase in childhood obesity, which has been growing rapidly worldwide. This study aims to assess the presence of sleep disorders in overweight children and adolescents. Methods An descriptive study was conducted with data collection from 43 patients between 6 and 13 years old diagnosed as overweight. They were patients of a specialized service for children and adolescents with obesity that is part of the Hospital de Clínicas of the Federal University of Paraná, located in Curitiba, Brazil. To investigate the presence of sleep disorders, the Sleep Disturbance Scale for Children (SDSC) questionnaire was administered. The factors assessed were: Disorders of Initiating and Maintaining Sleep, Sleep Breathing Disorders, Disorders of Arousallnightmures, Sleep Wake Transition Disorders, Disorders of Excessive Somnolence and Sleep Hyperhydrosis. Results The mean age of the patients that took part in the research was 10 years and 7 months (± 1.95). The mean BMI of the participants was 29.57 kg/m2 (± 4.38), the majority being diagnosed with obesity. The sum of all SDSC factors demonstrated the presence of pathological sleep in 58.1% (25) of the sample, whereas 51.2% (22) of the patients had Sleep Breathing Disorders and 58.1% (25) had the Sleep Wake Transition Disorder. Conclusion The present study demonstrated the presence of sleep disorders in overweight children and adolescents. As for Sleep Respiratory Disorder, a situation has already been advocated in the current literature for this audience. In relation to the Sleep-Wake Transition Disorder and pathological sleep, further research is needed to prove the presence of the disorder in other groups studied. Here is the suggestion that future research be done with subjective and objective data collection on sleep within a larger sample, in order to confirm the association between sleep disorders and childhood obesity. Support (if any):

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Jaoude, Philippe, Leah N. Vermont, Jahan Porhomayon, and Ali A. El-Solh. "Sleep-Disordered Breathing in Patients with Post-traumatic Stress Disorder." Annals of the American Thoracic Society 12, no. 2 (February 2015): 259–68. http://dx.doi.org/10.1513/annalsats.201407-299fr.

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Yesavage, Jerome A., Lisa M. Kinoshita, Timothy Kimball, Jamie Zeitzer, Leah Friedman, Art Noda, Renaud David, et al. "Sleep-Disordered Breathing in Vietnam Veterans with Posttraumatic Stress Disorder." American Journal of Geriatric Psychiatry 20, no. 3 (March 2012): 199–204. http://dx.doi.org/10.1097/jgp.0b013e3181e446ea.

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Nazir, Racha, Karen Carvalho, Steven Lippmann, and Karim Sedky. "Attention deficit hyperactivity disorder and sleep disordered breathing in children." Journal of Pediatric Biochemistry 03, no. 02 (August 1, 2016): 061–67. http://dx.doi.org/10.1055/s-0036-1586430.

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White, D. P. "Sleep-related breathing disorder.2. Pathophysiology of obstructive sleep apnoea." Thorax 50, no. 7 (July 1, 1995): 797–804. http://dx.doi.org/10.1136/thx.50.7.797.

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Connolly, Timothy A., and Amir Sharafkhaneh. "Sleep-Related Breathing Disorder and Heart Disease—Central Sleep Apnea." Sleep Medicine Clinics 2, no. 1 (March 2007): 107–17. http://dx.doi.org/10.1016/j.jsmc.2007.01.001.

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Maurya, Rajendra Prakash, Manisha, Vibha Singh, Ashish Gupta, Amit Patel, Virendra P. Singh, Eshwari Patel, Shivangi Singh, Kartika Anand, and Meghna Roy. "Association of sleep and sleep disorders with glaucoma." Indian Journal of Clinical and Experimental Ophthalmology 8, no. 2 (June 15, 2022): 181–88. http://dx.doi.org/10.18231/j.ijceo.2022.037.

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The hormone melatonin plays a role in our natural sleep-wake cycle. Natural levels of melatonin in the blood are highest at night. Aqueous flow has a distinctive circadian rhythm, being lower at night than during the day. IOP fluctuates in a rhythmical diurnal pattern and this fluctuation is greater in eyes with glaucoma. Sleep apnoea is a type of sleep disorder breathing that causes intermittent pauses in breathing during sleep, leading to transient nocturnal hypoxia and hypercapnia. Obstructive sleep apnoea (OSA) is one of the systemic risk factors for glaucoma which causes irreversible visual field (VF) damage.

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DeVido, MD, Jeffrey, Hilary Connery, MD, PhD, and Kevin P. Hill, MD, MHS. "Sleep-disordered breathing in patients with opioid use disorders in long-term maintenance on buprenorphine-naloxone: A case series." Journal of Opioid Management 11, no. 4 (July 1, 2015): 363. http://dx.doi.org/10.5055/jom.2015.0285.

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Background: Rates of opioid overdose deaths are increasing in the United States, leading to intensified efforts to provide medication-assisted treatments for opioid use disorders. It is not clear what effect opioid agonist treatments (ie, the μ-opioid receptor full agonist methadone and the partial agonist buprenorphine) may have on respiratory function. However, sleep-disordered breathing has been documented in methadone maintenance pharmacotherapy, and there is emerging evidence for similar sleep-disordered breathing in buprenorphine and buprenorphine-naloxone maintenance treatment.Objective: To provide further clinical evidence of sleep-disordered breathing emerging in the context of buprenorphine-naloxone maintenance pharmacotherapy.Methods: The authors report two additional cases of sleep-disordered breathing that developed in patients with severe opioid use disorders, treated successfully as outpatients with buprenorphine-naloxone maintenance. Both patients provided written consent for their clinical information to be included in this case report, and elements of their identities have been masked to provide confidentiality.Results: Two adult female patients, who were stable in buprenorphine-naloxone maintenance treatment developed daytime sleepiness, were referred for evaluation and found to have sleep-disordered breathing. One patient's daytime sleepiness improved with reduction in both buprenorphine-naloxone and other sedating medications as well as initiation of a constant positive airway pressure (CPAP) device. However, the other patient could not tolerate decreases in buprenorphinenaloxone and/or CPAP initiation and her daytime sleepiness persisted.Conclusion: Buprenorphine-naloxone maintenance treatment can be associated with sleep-disordered breathing. It can be difficult to differentiate the cause(s) of sleep-disordered breathing among the effects of buprenorphine-naloxone treatment itself, co-occurring conditions, such as obesity and cigarette smoking or other medications, or some combination thereof. Regardless of etiology, sleep-disordered breathing and its consequences present unique challenges to the patient in recovery from an opioid use disorder and therefore warrants careful evaluation and management.

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Thangaleela, Subramanian, Bhagavathi Sundaram Sivamaruthi, Periyanaina Kesika, Subramanian Mariappan, Subramanian Rashmi, Thiwanya Choeisoongnern, Phakkharawat Sittiprapaporn, and Chaiyavat Chaiyasut. "Neurological Insights into Sleep Disorders in Parkinson’s Disease." Brain Sciences 13, no. 8 (August 14, 2023): 1202. http://dx.doi.org/10.3390/brainsci13081202.

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Parkinson’s disease (PD) is a common multidimensional neurological disorder characterized by motor and non-motor features and is more prevalent in the elderly. Sleep disorders and cognitive disturbances are also significant characteristics of PD. Sleep is an important physiological process for normal human cognition and physical functioning. Sleep deprivation negatively impacts human physical, mental, and behavioral functions. Sleep disturbances include problems falling asleep, disturbances occurring during sleep, abnormal movements during sleep, insufficient sleep, and excessive sleep. The most recognizable and known sleep disorders, such as rapid-eye-movement behavior disorder (RBD), insomnia, excessive daytime sleepiness (EDS), restless legs syndrome (RLS), sleep-related breathing disorders (SRBDs), and circadian-rhythm-related sleep–wake disorders (CRSWDs), have been associated with PD. RBD and associated emotional disorders are common non-motor symptoms of PD. In individuals, sleep disorders and cognitive impairment are important prognostic factors for predicting progressing neurodegeneration and developing dementia conditions in PD. Studies have focused on RBD and its associated neurological changes and functional deficits in PD patients. Other risks, such as cognitive decline, anxiety, and depression, are related to RBD. Sleep-disorder diagnosis is challenging, especially in identifying the essential factors that disturb the sleep–wake cycle and the co-existence of other concomitant sleep issues, motor symptoms, and breathing disorders. Focusing on sleep patterns and their disturbances, including genetic and other neurochemical changes, helps us to better understand the central causes of sleep alterations and cognitive functions in PD patients. Relations between α-synuclein aggregation in the brain and gender differences in sleep disorders have been reported. The existing correlation between sleep disorders and levels of α-synuclein in the cerebrospinal fluid indicates the risk of progression of synucleinopathies. Multidirectional approaches are required to correlate sleep disorders and neuropsychiatric symptoms and diagnose sensitive biomarkers for neurodegeneration. The evaluation of sleep pattern disturbances and cognitive impairment may aid in the development of novel and effective treatments for PD.

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Brzecka, Anna, Karolina Sarul, Tomasz Dyła, Marco Avila-Rodriguez, Ricardo Cabezas-Perez, Vladimir N. Chubarev, Nina N. Minyaeva, et al. "The Association of Sleep Disorders, Obesity and Sleep-Related Hypoxia with Cancer." Current Genomics 21, no. 6 (September 16, 2020): 444–53. http://dx.doi.org/10.2174/1389202921999200403151720.

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Background: Sleep disorders have emerged as potential cancer risk factors. Objective: This review discusses the relationships between sleep, obesity, and breathing disorders with concomitant risks of developing cancer. Results: Sleep disorders result in abnormal expression of clock genes, decreased immunity, and melatonin release disruption. Therefore, these disorders may contribute to cancer development. Moreover, in sleep breathing disorder, which is frequently experienced by obese persons, the sufferer experiences intermittent hypoxia that may stimulate cancer cell proliferation. Discussion: During short- or long- duration sleep, sleep-wake rhythm disruption may occur. Insomnia and obstructive sleep apnea increase cancer risks. In short sleepers, an increased risk of stomach cancer, esophageal squamous cell cancer, and breast cancer was observed. Among long sleepers (>9 hours), the risk of some hematologic malignancies is elevated. Conclusion: Several factors including insomnia, circadian disruption, obesity, and intermittent hypoxia in obstructive sleep apnea are contributing risk factors for increased risk of several types of cancers. However, further studies are needed to determine the more significant of these risk factors and their interactions.

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Stoohs, Riccardo A., Hans-Christian Blum, Ben Y. Suh, and Christian Guilleminault. "Misinterpretation of Sleep-Breathing Disorder by Periodic Limb Movement Disorder." Sleep And Breathing 05, no. 03 (2001): 131–38. http://dx.doi.org/10.1055/s-2001-17431.

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Jaroenying, Rasintra, Pluemkamon Rattanarat, and Piradee Suwanpakdee. "629 Sleep problems among children and adolescents with epilepsy in Thailand: single-center cross-sectional study." Sleep 44, Supplement_2 (May 1, 2021): A247. http://dx.doi.org/10.1093/sleep/zsab072.627.

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Abstract Introduction Sleep problems are common in pediatric epilepsy and may influence seizure control, daytime performance, and quality of life. The aim of this study was to investigate parent-reported and self-reported sleep problems in a sample of children and adolescents with epilepsy in Thailand. Methods Epileptic children age 1–18 years and their parents in epilepsy clinic completed the Phramongkutklao Hospital Sleep disorders center Questionnaire, Sleep Related Breathing Disorder- Pediatric Sleep Questionnaire (SRBD-PSQ) Results A total of 59 participants with the mean age of 10.8 years completed the questionnaires. The most common sleep complaint was a disorder of maintaining sleep 36 (61.01%). Several sleep manifestations were detected including disorder of initiating sleep 14 (23.7%), snoring 29 (49.2%), leg kicking 16 (27.1%), sleep talking 19 (32.2%), sleep walking 4 (6.7%), teeth gliding 18 (30.5%), nightmares 15 (25%), night terrors 8 (13.5%) and nocturnal enuresis 16 (27.1%). The frequency of sleep disordered breathing problems (SRBD-PSQ >0.33) was 33.9%. Conclusion The prevalence of sleep problems among children with epilepsy in Thailand is high. Therefore, a highlighting should be given to address sleep in children and adolescents with epilepsy. Further studies are needed to evaluate the effects of antiepileptic drugs, type of seizure or associated factors on sleep disruption in this population. Support (if any) None

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Dave, Riya Divyakant. "Sleep-disordered breathing and dental sleep medicine: Implications for oral health and overall well-being." Archives of Dental Research 13, no. 1 (July 15, 2023): 34–40. http://dx.doi.org/10.18231/j.adr.2023.007.

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Sleep-disordered breathing (SDB) is a prevalent condition that encompasses a range of disorders, such as snoring, obstructive sleep apnea (OSA), and upper airway resistance syndrome. These disorders have significant implications for both oral health and overall well-being. Dental sleep medicine (DSM) plays a crucial role in the identification, diagnosis, and management of SDB, offering effective treatment options for patients. As awareness grows regarding the detrimental effects of airway disorders, particularly obstructive sleep apnea (OSA), as a sleep-related breathing disorder, it becomes important to recognize the potential role of dentists in offering solutions in this field. This recognition gives rise to a new aspect of dentistry known as Dental Sleep Medicine (DSM). DSM focuses on the practice of clinical dentistry with the goal of achieving an ideal jaw relationship and establishing normal oral function and performance. One crucial aspect of function and performance is the airway and breathing, which is among the most vital functions for human beings. Any alterations in the airway and breathing patterns can lead to changes in the posture of the tongue, jaws, and head, ultimately resulting in malocclusion. Early dental treatment not only has a positive impact on the teeth but also helps establish the best possible airway at an early age. Dentists now play a crucial and integral role as part of an interdisciplinary group involved in managing Sleep-Related Breathing Disorders (SRBDs). This review article aims to provide guidance to dentists in identifying children or adults who are suspected or at risk of SRBDs. Additionally, it will explain the roles of dentists and orthodontists in the management and treatment of SRBDs.

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Mancebo-Sosa, Virginia, Viridiana Mancilla-Hernández, Joana Miranda-Ortiz, Aremy Hernández-Torres, Romel Gutierrez-Escobar, Adrian Poblano, and Ulises Jiménez-Correa. "Sleep architecture alterations in patients with periodic limb movements disorder during sleep and sleep breathing disorders." Sleep Science 9, no. 2 (April 2016): 84–88. http://dx.doi.org/10.1016/j.slsci.2016.06.002.

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Raut, Aishwarya Deepak, and Bharati Dixit. "Sleep Apnoea Disorder." European Journal of Engineering Research and Science 5, no. 3 (March 20, 2020): 339–42. http://dx.doi.org/10.24018/ejers.2020.5.3.1822.

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This article provides research on sleep apnoea. Sleep apnoea is a capable for suspending breath or frequently pausing in period of deep sleep. This symptoms may leads to an unappropriate death that makes it a critical sleeping disorder. Periods of apnoea generally lasts for five seconds or hardly a minute which affects the sleeping pattern due to breathing. This probably happens five times of an hour or even more. Obstructive sleep apnoea (OSA),central sleep apnoea (CSA) and mixed/complex sleep apnoea(MSA) are common three types of apnoea, where mixed/complex sleep apnoea is combination of other two apnoea. Airway obstruction is caused in OSA, while in CSA airway is not blocked, but the brain dosn’t sends proper signals to the muscles that cause instability of the respiratory center. The study includes the sleep disorders, types, cause, signs and symptoms and methods of Sleep Apnoea. Considering the study; it is very much required to detection of sleep apnoea using noninvasive techniques. Machine learning algorithms based detection of sleep apnoea is a feasible solution which provides more than 90% accuracy. The study surveys the similar techniques based on machine learning.

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Raut, Aishwarya Deepak, and Bharati Dixit. "Sleep Apnoea Disorder." European Journal of Engineering and Technology Research 5, no. 3 (March 20, 2020): 339–42. http://dx.doi.org/10.24018/ejeng.2020.5.3.1822.

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This article provides research on sleep apnoea. Sleep apnoea is a capable for suspending breath or frequently pausing in period of deep sleep. This symptoms may leads to an unappropriate death that makes it a critical sleeping disorder. Periods of apnoea generally lasts for five seconds or hardly a minute which affects the sleeping pattern due to breathing. This probably happens five times of an hour or even more. Obstructive sleep apnoea (OSA),central sleep apnoea (CSA) and mixed/complex sleep apnoea(MSA) are common three types of apnoea, where mixed/complex sleep apnoea is combination of other two apnoea. Airway obstruction is caused in OSA, while in CSA airway is not blocked, but the brain dosn’t sends proper signals to the muscles that cause instability of the respiratory center. The study includes the sleep disorders, types, cause, signs and symptoms and methods of Sleep Apnoea. Considering the study; it is very much required to detection of sleep apnoea using noninvasive techniques. Machine learning algorithms based detection of sleep apnoea is a feasible solution which provides more than 90% accuracy. The study surveys the similar techniques based on machine learning.

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Huang, Yujia, Jingzhou Xu, Siqi Zheng, Shuyu Xu, Yajing Wang, Jing Du, Lei Xiao, et al. "The risk factors for insomnia and sleep-disordered breathing in military communities: A meta-analysis." PLOS ONE 16, no. 5 (May 6, 2021): e0250779. http://dx.doi.org/10.1371/journal.pone.0250779.

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Background Many reviews and meta-analyses had been conducted to investigate risk factors for sleep disorders in the general population. However, no similar research has been performed in the military population though insomnia and sleep-disordered breathing are quite prevalent in that population. Objectives To investigate risk factors for insomnia and sleep-disordered breathing in military personnel. Methods A systematic literature search was performed from inception to March 2021 and 6496 records were produced. Two authors independently screened records for eligibility. Results were presented as odds ratios, and a random-effect model was used to pool results. Data analysis was performed respectively according to military personnel type (i.e., veteran, active-duty personnel). Risk factors were sorted into three categories: sociodemographic, army-specific, and comorbidity. This meta-analysis was registered in PROSPERO before data analysis (registration No: CRD42020221696). Results Twenty-seven articles were finally included in the quantitative analysis. For sleep-disordered breathing in active-duty personnel, four sociodemographic (i.e., overweight/obesity, higher body mass index, male gender, >35 years old) and one comorbidity (i.e., depression) risk factors were identified. For insomnia in active-duty personnel, four sociodemographic (i.e., aging, alcohol dependence, white race, and female gender), two army-specific (i.e., deployment experience, combat experience), and four comorbidity (i.e., depression, post-traumatic stress disorder, traumatic brain injury, and anxiety) risk factors were identified. For insomnia in veterans, one army-specific (i.e., combat experience) and one comorbidity (i.e., post-traumatic stress disorder) risk factor was identified. Conclusions Several risk factors were identified for insomnia and sleep-disordered breathing in the current meta-analysis. Risk factors for veterans and active-duty personnel were partially different. Research on sleep breathing disorders remains limited, and more convincing evidence would be obtained with more relevant studies in the future.

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Kosmadakis, G. C., and J. F. Medcalf. "Sleep disorders in dialysis patients." International Journal of Artificial Organs 31, no. 11 (November 2008): 919–27. http://dx.doi.org/10.1177/039139880803101101.

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Poor sleep and sleep-related breathing disorders are common in patients with end-stage renal disease (ESRD) but are often unrecognized and undertreated. Sleep disorders are known negative prognostic factors for morbidity and mortality. The most frequent sleep disorders seen in patients with ESRD are conditioned insomnia, excessive daytime sleepiness, obstructive or central sleep apnea (SA), as well as restless legs syndrome (RLS) and periodic limb movement disorder (PLMD). Several uremic and nonuremic factors are thought to participate in the pathogenesis of sleep disorders in patients with ESRD. The therapy of sleeping disorders includes nonpharmacological and pharmacological measures that can improve the functionality and quality of life in patients with ESRD.

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Rajabrundha, A., A. Lakshmisangeetha, and A. Balajiganesh. "Analysis of Sleep apnea Considering Electrocardiogram Data Using Deep learning Algorithms." Journal of Physics: Conference Series 2318, no. 1 (August 1, 2022): 012009. http://dx.doi.org/10.1088/1742-6596/2318/1/012009.

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Abstract Sleep is a vital component of every human being. Adequate restful and restorative sleep reenergizes the body, enhances overall health and psychological well-being. Sleep hygiene, chaotic lifestyles, disorder breathing, stress, and anxiety contribute to poor sleep quality. Obstructive sleep apnea (OSA) sleep respiratory disorder causes temporary lapses of breathing results in gasping, choking, snoring sounds during sleep. The individual does not consciously wake up, but the brain has to start breathing again which disrupts the sleep quality. Polysomnography (PSG) sleep study is employed to diagnose sleep disorders by using either in-home or laboratory-based comprehensive tests. The untreated OSA leads to deterioration in health, performance consequences with severity including daytime sleepiness, motor vehicle accidents, workplace errors, cardiovascular morbidity, and mortality. The pre-processed, interpolated and segmented ECG signal is considered for the examination of OSA. This paper focuses on three types of deep learning classifiers-based prediction models for detection of apnea from the ECG signal. The accuracy value of Long Short Term Memory model (LSTM) is 85 percent and classifier’s ability to distinguish between normal and apnea events is 0.88.The Gated Recurrent Unit (GRU) classifier and Convolution Neural Network (CNN) model have an f1- score value of 0.80. The proposed LSTM model provides the optimal performance in comparison to other deep learning models used for classification with respect to area under the curve (AUC) and accuracy metrics.

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Parreira, Ana Filipa, António Martins, Filipa Ribeiro, and Filipe Glória Silva. "Validação Clínica da Versão Portuguesa do Questionário de Hábitos de Sono das Crianças (CSHQ-PT) em Crianças com Perturbações do Sono e PHDA." Acta Médica Portuguesa 32, no. 3 (March 29, 2019): 195. http://dx.doi.org/10.20344/amp.10906.

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Introduction: The Portuguese version of the Children’s Sleep Habits Questionnaire showed adequate psychometric properties in a community sample but the American cut-off seemed inadequate. This study aimed to validate this questionnaire in clinical populations of children with sleep disorders and with attention deficit/ hyperactivity disorder.Material and Methods: The study sample included 148 Portuguese children aged 2 to 10 years old that where divided in 3 groups: 1. Clinical group with sleep disorders (behavioral insomnias, parasomnias or sleep-related breathing disorders); 2. Clinical group with attention deficit/ hyperactivity disorder; 3. Control group. The sleep habits and sleep problems were evaluated using the Children’s Sleep Habits Questionnaire. Sleep-related disorders were confirmed by polysomnography.Results: The questionnaire’s internal consistency (Cronbach α) in the clinical sample (sleep disorders and attention deficit/ hyperactivity disorder) was 0.75 and ranged from 0.55 to 0.85 for the subscales. Children with sleep disorders and attention deficit/ hyperactivity disorder had a higher sleep disturbance index (full scale score) compared to the control group. The subscales presented significant differences between the subgroups with different sleep disorders showing discriminative validity. The receiver operating characteristic analysis of the sleep disturbance index comparing the sleep disorder and control sample determined a cut-off of 48 (sensibility 0.83;specificity 0.69).Discussion: Children with sleep disorders and attention deficit/ hyperactivity disorder evidenced higher Sleep Disturbance Index (full scale score) comparing to the control group. The subscales presented significative differences between the subgroups with different sleep disorders showing discriminative validityConclusion: The Portuguese version of the Children’s Sleep Habits Questionnaire showed adequate psychometric properties for children with sleep disorders and/or attention deficit/ hyperactivity disorder. The cut-off value 48 is better adjusted for the Portuguese population.

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Baran, Alp Sinan, and Allen C. Richert. "Obstructive Sleep Apnea and Depression." CNS Spectrums 8, no. 2 (February 2003): 128–34. http://dx.doi.org/10.1017/s1092852900018356.

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AbstractIs there an association between obstructive sleep apnea (OSA) and depression? OSA is a common breathing-related sleep disorder. There have been reports that depressive symptoms can be associated with this sleep disorder. A number of investigations have addressed this issue. Although some have found no correlation, most studies have concluded that there is an association between OSA and depressive symptoms. Other investigations have shown that depressive symptoms improve with treatment of OSA, and that untreated OSA may contribute to treatment resistance in some cases of mood disorders. Within the framework of current psychiatric diagnostic criteria, the depressive symptoms associated with OSA can be viewed as a combination of a mood disorder secondary to a primary medical condition and an adjustment disorder with depressed mood. The question of whether OSA causes depressive symptoms can perhaps be best answered by viewing OSA and depression as having certain symptoms that are common to both disorders.

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Choi, Soo Jeon. "Pathogenesis and Clinical Features of Sleep Breathing Disorder." Tuberculosis and Respiratory Diseases 66, no. 2 (2009): 83. http://dx.doi.org/10.4046/trd.2009.66.2.83.

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Shin, Chol. "New Trends of Treatments in Sleep Disorder Breathing." Journal of the Korean Medical Association 43, no. 6 (2000): 560. http://dx.doi.org/10.5124/jkma.2000.43.6.560.

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Harnod, Tomor, Yu-Chiao Wang, and Chia-Hung Kao. "Association of Migraine and Sleep-Related Breathing Disorder." Medicine 94, no. 36 (September 2015): e1506. http://dx.doi.org/10.1097/md.0000000000001506.

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Saxena, Naveen, Vinita Srivastava, and Chanda Craft. "Cardiovascular Hemodynamics in Patients with Sleep Disorder Breathing." Chest 126, no. 4 (October 2004): 730S. http://dx.doi.org/10.1378/chest.126.4_meetingabstracts.730s-a.

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Xu, L., Z. Hao, X. Lan, P. An, L. Zhao, X. Zhang, X. Dong, X. Gao, and F. Han. "Catathrenia: Is it a sleep related breathing disorder?" Sleep Medicine 16 (December 2015): S225. http://dx.doi.org/10.1016/j.sleep.2015.02.1477.

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SAXENA, N., V. SRIVASTAVA, and C. CRAFT. "Cardiovascular hemodynamics in patients with sleep disorder breathing." American Journal of Hypertension 18, no. 5 (May 2005): A124. http://dx.doi.org/10.1016/j.amjhyper.2005.03.346.

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Journal articles on the topic 'Sleep breathing disorder'

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