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Alotaibi N, Cheung M, Shah A, Hurst JR, Mani AR, Mandal S. Changes in physiological signal entropy in patients with obstructive sleep apnoea: a systematic review. Physiol Meas 2024; 45:095010. [PMID: 39260403 DOI: 10.1088/1361-6579/ad79b4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Accepted: 09/11/2024] [Indexed: 09/13/2024]
Abstract
Background and Objective.Obstructive sleep apnoea (OSA) affects an estimated 936 million people worldwide, yet only 15% receive a definitive diagnosis. Diagnosis of OSA poses challenges due to the dynamic nature of physiological signals such as oxygen saturation (SpO2) and heart rate variability (HRV). Linear analysis methods may not fully capture the irregularities present in these signals. The application of entropy of routine physiological signals offers a promising method to better measure variabilities in dynamic biological data. This review aims to explore entropy changes in physiological signals among individuals with OSA.Approach.Keyword and title searches were performed on Medline, Embase, Scopus, and CINAHL databases. Studies had to analyse physiological signals in OSA using entropy. Quality assessment used the Newcastle-Ottawa Scale. Evidence was qualitatively synthesised, considering entropy signals, entropy type, and time-series length.Main results.Twenty-two studies were included. Multiple physiological signals related to OSA, including SpO2, HRV, and the oxygen desaturation index (ODI), have been investigated using entropy. Results revealed a significant decrease in HRV entropy in those with OSA compared to control groups. Conversely, SpO2and ODI entropy values were increased in OSA. Despite variations in entropy types, time scales, and data extraction devices, studies using receiver operating characteristic curves demonstrated a high discriminative accuracy (>80% AUC) in distinguishing OSA patients from control groups.Significance. This review highlights the potential of SpO2entropy analysis in developing new diagnostic indices for patients with OSA. Further investigation is needed before applying this technique clinically.
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Affiliation(s)
- Nawal Alotaibi
- UCL Respiratory, University College London, London, United Kingdom
- Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia
| | - Maggie Cheung
- Royal Free London NHS Foundation Trust, London, United Kingdom
| | - Amar Shah
- UCL Respiratory, University College London, London, United Kingdom
- Royal Free London NHS Foundation Trust, London, United Kingdom
| | - John R Hurst
- UCL Respiratory, University College London, London, United Kingdom
- Royal Free London NHS Foundation Trust, London, United Kingdom
| | - Ali R Mani
- Network Physiology Lab, University College London, London, United Kingdom
| | - Swapna Mandal
- UCL Respiratory, University College London, London, United Kingdom
- Royal Free London NHS Foundation Trust, London, United Kingdom
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de Araujo Dantas AB, Gonçalves FM, Martins AA, Alves GÂ, Stechman-Neto J, Corrêa CDC, Santos RS, Nascimento WV, de Araujo CM, Taveira KVM. Worldwide prevalence and associated risk factors of obstructive sleep apnea: a meta-analysis and meta-regression. Sleep Breath 2023; 27:2083-2109. [PMID: 36971971 DOI: 10.1007/s11325-023-02810-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Revised: 03/06/2023] [Accepted: 03/08/2023] [Indexed: 03/29/2023]
Abstract
PURPOSE This study aimed to identify the prevalence of obstructive sleep apnea (OSA) and associated risk factors globally. METHODS Six databases and registrations and three grey databases were explored for observational field research. Independently and impartially paired reviewers selected research, gathered data, and evaluated the methodological quality. Heterogeneity was investigated using subgroup analysis and meta-regression following the moderating variable in a meta-analysis of proportions with a random-effects model. The critical appraisal instrument developed by the Joanna Briggs Institute was used to evaluate the listed studies' methodology. The certainty of the evidence was evaluated using the GRADE tool. RESULTS A total of 8236 articles were collected during the database search, resulting in 99 articles included for qualitative synthesis, and 98 articles were included for the meta-analysis. The estimated combined prevalence of OSA was 54% [CI 95% = 46-62%; I2 = 100%]. Mean age, percentage of moderate-severe cases, and the sample's body mass index (BMI) did not affect the heterogeneity that was already present when meta-regressed (p > 0.05). Ninety-one studies were deemed to have a low risk of bias, while eight were deemed to have a moderate risk. For OSA prevalence outcomes, the GRADE criteria were considered very low. CONCLUSION Approximately half of the people worldwide have OSA. High BMI, increasing age, and male gender are described as risk factors in the literature, but these covariates do not affect pre-existing heterogeneity.
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Affiliation(s)
- Anna Beatriz de Araujo Dantas
- Department of Morphology - Center of Biosciences, Federal University of Rio Grande do Norte (UFRN), BR 101- Lagoa Nova, Natal, RN - 59072-970, Brazil
| | - Flávio Magno Gonçalves
- Tuiuti University of Paraná (UTP), Curitiba, Brazil
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil
| | - Agnes Andrade Martins
- Department of Morphology - Center of Biosciences, Federal University of Rio Grande do Norte (UFRN), BR 101- Lagoa Nova, Natal, RN - 59072-970, Brazil
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil
| | | | - José Stechman-Neto
- Tuiuti University of Paraná (UTP), Curitiba, Brazil
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil
| | - Camila de Castro Corrêa
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil
- Planalto University Center of the Federal District (UNIPLAN), Brasília, Brazil
| | - Rosane Sampaio Santos
- Tuiuti University of Paraná (UTP), Curitiba, Brazil
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil
| | - Weslania Viviane Nascimento
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil
- Universitat Autónoma de Barcelona, Barcelona, Spain
| | - Cristiano Miranda de Araujo
- Tuiuti University of Paraná (UTP), Curitiba, Brazil
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil
| | - Karinna Veríssimo Meira Taveira
- Department of Morphology - Center of Biosciences, Federal University of Rio Grande do Norte (UFRN), BR 101- Lagoa Nova, Natal, RN - 59072-970, Brazil.
- Center for Advanced Studies in Systematic Review and Meta-Analysis (NARSM), Curitiba, Brazil.
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Hsu YS, Chen TY, Wu D, Lin CM, Juang JN, Liu WT. Screening of obstructive sleep apnea in patients who snore using a patch-type device with electrocardiogram and 3-axis accelerometer. J Clin Sleep Med 2021; 16:1149-1160. [PMID: 32267228 DOI: 10.5664/jcsm.8462] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
STUDY OBJECTIVES People with obstructive sleep apnea (OSA) remain undiagnosed because of the lack of easy and comfortable screening tools. Through this study, we aimed to compare the diagnostic accuracy of chest wall motion and cyclic variation of heart rate (CVHR) in detecting OSA by using a single-lead electrocardiogram (ECG) patch with a 3-axis accelerometer. METHODS In total, 119 patients who snore simultaneously underwent polysomnography with a single-lead ECG patch. Signals of chest wall motion and CVHR from the single-lead ECG patch were collected. The chest effort index (CEI) was calculated using the chest wall motion recorded by a 3-axis accelerometer in the device. The ability of CEI and CVHR indices in diagnosing moderate-to-severe OSA (apnea-hypopnea index ≥ 15) was compared using the area under the curve (AUC) by using the DeLong test. RESULTS CVHR detected moderate-to-severe OSA with 52.9% sensitivity and 94.1% specificity (AUC: 0.76, 95% confidence interval: 0.67-0.84, optimal cutoff: 21.2 events/h). By contrast, CEI identified moderate-to-severe OSA with 80% sensitivity and 79.4% specificity (AUC: 0.87, 95% confidence interval: 0.80-0.94, optimal cutoff: 7.1 events/h). CEI significantly outperformed CVHR regarding the discrimination ability for moderate-to-severe OSA (ΔAUC: 0.11, 95% confidence interval: 0.009-0.21, P = .032). For determining severe OSA, the performance of discrimination ability was greater (AUC = 0.90, 95% confidence interval: 0.85-0.95) when combining these two signals. CONCLUSIONS Both CEI and CVHR recorded from a patch-type device with ECG and a 3-axis accelerometer can be used to detect moderate-to-severe OSA. Thus, incorporation of CEI is helpful in the detection of sleep apnea by using a single-lead ECG with a 3-axis accelerometer.
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Affiliation(s)
- Ying-Shuo Hsu
- Department of Otolaryngology, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.,School of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Tien-Yu Chen
- Department of Psychiatry, Tri-Service General Hospital, School of Medicine, National Defense Medical Center, Taipei, Taiwan.,Institute of Brain Science, National Yang-Ming University, Taipei, Taiwan
| | - Dean Wu
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Neurology, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Neurology, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Chia-Mo Lin
- Division of Chest Medicine, Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.,Department of Chemistry, Fu-Jen Catholic University, New Taipei City, Taiwan.,Graduate Institute of Biomedical and Pharmaceutical Science, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Jer-Nan Juang
- Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan
| | - Wen-Te Liu
- Sleep Center, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan.,Division of Pulmonary Medicine, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City, Taiwan.,Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan.,School of Respiratory Therapy, College of Medicine, Taipei Medical University, Taipei, Taiwan.,Sleep Science Center, Taipei Medical University Hospital, Taipei Medical University, Taipei, Taiwan
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Álvarez D, Sánchez-Fernández A, Andrés-Blanco AM, Gutiérrez-Tobal GC, Vaquerizo-Villar F, Barroso-García V, Hornero R, del Campo F. Influence of Chronic Obstructive Pulmonary Disease and Moderate-To-Severe Sleep Apnoea in Overnight Cardiac Autonomic Modulation: Time, Frequency and Non-Linear Analyses. ENTROPY 2019; 21:e21040381. [PMID: 33267095 PMCID: PMC7514865 DOI: 10.3390/e21040381] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 04/02/2019] [Accepted: 04/05/2019] [Indexed: 11/25/2022]
Abstract
Chronic obstructive pulmonary disease (COPD) is one of the most prevalent lung diseases worldwide. COPD patients show major dysfunction in cardiac autonomic modulation due to sustained hypoxaemia, which has been significantly related to higher risk of cardiovascular disease. Obstructive sleep apnoea syndrome (OSAS) is a frequent comorbidity in COPD patients. It has been found that patients suffering from both COPD and OSAS simultaneously, the so-called overlap syndrome, have notably higher morbidity and mortality. Heart rate variability (HRV) has demonstrated to be useful to assess changes in autonomic functioning in different clinical conditions. However, there is still little scientific evidence on the magnitude of changes in cardiovascular dynamics elicited by the combined effect of both respiratory diseases, particularly during sleep, when apnoeic events occur. In this regard, we hypothesised that a non-linear analysis is able to provide further insight into long-term dynamics of overnight cardiovascular modulation. Accordingly, this study is aimed at assessing the usefulness of sample entropy (SampEn) to distinguish changes in overnight pulse rate variability (PRV) recordings among three patient groups while sleeping: COPD, moderate-to-severe OSAS, and overlap syndrome. In order to achieve this goal, a population composed of 297 patients were studied: 22 with COPD alone, 213 showing moderate-to-severe OSAS, and 62 with COPD and moderate-to-severe OSAS simultaneously (COPD+OSAS). Cardiovascular dynamics were analysed using pulse rate (PR) recordings from unattended pulse oximetry carried out at patients’ home. Conventional time- and frequency- domain analyses were performed to characterise sympathetic and parasympathetic activation of the nervous system, while SampEn was applied to quantify long-term changes in irregularity. Our analyses revealed that overnight PRV recordings from COPD+OSAS patients were significantly more irregular (higher SampEn) than those from patients with COPD alone (0.267 [0.210–0.407] vs. 0.212 [0.151–0.267]; p < 0.05) due to recurrent apnoeic events during the night. Similarly, COPD + OSAS patients also showed significantly higher irregularity in PRV during the night than subjects with OSAS alone (0.267 [0.210–0.407] vs. 0.241 [0.189–0.325]; p = 0.05), which suggests that the cumulative effect of both diseases increases disorganization of pulse rate while sleeping. On the other hand, no statistical significant differences were found between COPD and COPD + OSAS patients when traditional frequency bands (LF and HF) were analysed. We conclude that SampEn is able to properly quantify changes in overnight cardiovascular dynamics of patients with overlap syndrome, which could be useful to assess cardiovascular impairment in COPD patients due to the presence of concomitant OSAS.
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Affiliation(s)
- Daniel Álvarez
- Sleep-Ventilation Unit, Pneumology Service, Río Hortega University Hospital, c/ Dulzaina 2, 47012 Valladolid, Spain
- Biomedical Engineering Group, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain
- Correspondence: ; Tel.: +34-983-420400 (ext. 85776)
| | - Ana Sánchez-Fernández
- Sleep-Ventilation Unit, Pneumology Service, Río Hortega University Hospital, c/ Dulzaina 2, 47012 Valladolid, Spain
| | - Ana M. Andrés-Blanco
- Sleep-Ventilation Unit, Pneumology Service, Río Hortega University Hospital, c/ Dulzaina 2, 47012 Valladolid, Spain
| | | | | | - Verónica Barroso-García
- Biomedical Engineering Group, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain
| | - Roberto Hornero
- Biomedical Engineering Group, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain
| | - Félix del Campo
- Sleep-Ventilation Unit, Pneumology Service, Río Hortega University Hospital, c/ Dulzaina 2, 47012 Valladolid, Spain
- Biomedical Engineering Group, University of Valladolid, Paseo de Belén 15, 47011 Valladolid, Spain
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Caliskan SG, Polatli M, Bilgin MD. Nonlinear analysis of heart rate variability of healthy subjects and patients with chronic obstructive pulmonary disease. J Med Eng Technol 2018; 42:298-305. [DOI: 10.1080/03091902.2018.1491650] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- S. G. Caliskan
- Department of Physics, Science and Art Faculty, Adnan Menderes University, Aydın, Turkey
| | - M. Polatli
- Department of Pulmonology, School of Medicine, Adnan Menderes University, Aydın, Turkey
| | - M. D. Bilgin
- Department of Biophysics, School of Medicine, Adnan Menderes University, Aydın, Turkey
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Fractal Based Analysis of the Influence of Odorants on Heart Activity. Sci Rep 2016; 6:38555. [PMID: 27929045 PMCID: PMC5144066 DOI: 10.1038/srep38555] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2016] [Accepted: 11/09/2016] [Indexed: 12/15/2022] Open
Abstract
An important challenge in heart research is to make the relation between the features of external stimuli and heart activity. Olfactory stimulation is an important type of stimulation that affects the heart activity, which is mapped on Electrocardiogram (ECG) signal. Yet, no one has discovered any relation between the structures of olfactory stimuli and the ECG signal. This study investigates the relation between the structures of heart rate and the olfactory stimulus (odorant). We show that the complexity of the heart rate is coupled with the molecular complexity of the odorant, where more structurally complex odorant causes less fractal heart rate. Also, odorant having higher entropy causes the heart rate having lower approximate entropy. The method discussed here can be applied and investigated in case of patients with heart diseases as the rehabilitation purpose.
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Case-control studies of novel hemoglobin anomalies as differential diagnosis in sleep apnea syndrome. Sleep Breath 2012; 17:557-63. [PMID: 22581484 DOI: 10.1007/s11325-012-0720-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2012] [Revised: 04/13/2012] [Accepted: 04/27/2012] [Indexed: 10/28/2022]
Abstract
PURPOSE Pulse oximetry plays an essential role in the diagnosis of sleep apnea syndrome. We discovered two novel hemoglobin anomalies, Hb Bonn and Hb Venusberg, which initially resulted in avoidable sleep disorder examinations and therapeutic consequences due to their low oxygen saturation levels as measured by pulse oximetry. METHODS Hematological as well as clinical chemical diagnosis was carried out. Hemoglobin anomalies were detected through electrophoresis, chromatography, spectrophotometry, and pulse oximetry as well as hemoglobin gene sequencing. RESULTS Hb Bonn is a novel hemoglobin mutation of the proximal α1 globin with an additional absorption maximum of the oxyhemoglobin at 668 nm. This results in pulse oximetry measurements of false low oxygen saturation due to incorrect calculations at the pulse oximetry measuring point 660 m. Hb Venusberg is a novel oxygen-affine hemoglobin mutation of the β-globin which is electrophoretically silent. Clinical symptoms include intermittent low oxygen saturation levels, cyanosis of lips and nail beds, and limited physical resistance to stress. CONCLUSIONS Hemoglobin anomalies, such as Hb Bonn and Hb Venusberg, should be included in differential diagnosis as potential causes of low oxygen saturation especially in case of nonspecific or conflicting findings.
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Accuracy of ECG-based screening for sleep-disordered breathing: a survey of all male workers in a transport company. Sleep Breath 2012; 17:243-51. [PMID: 22430527 PMCID: PMC3575561 DOI: 10.1007/s11325-012-0681-7] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2012] [Revised: 02/08/2012] [Accepted: 03/05/2012] [Indexed: 01/26/2023]
Abstract
Purpose Sleep-disordered breathing (SDB) is associated with increased risk for cardiovascular morbidity and mortality and for sleepiness-related accidents, but >75 % of the patients remain undiagnosed. We sought to determine the diagnostic accuracy of ECG-based detection of SDB when used for population-based screening. Methods All male workers, mostly truck drivers, of a transport company (n = 165; age, 43 ± 12 years) underwent standard attended overnight polysomnography. Cyclic variation of heart rate (CVHR), a characteristic pattern of heart rate associated with SDB, was detected from single-lead ECG signals during the polysomnography by a newly developed automated algorithm of autocorrelated wave detection with adaptive threshold (ACAT). Results Among 165 subjects, the apnea–hypopnea index (AHI) was ≥5 in 62 (38 %), ≥15 in 26 (16 %), and ≥30 in 16 (10 %). The number of CVHR per hour (CVHR index) closely correlated with AHI [r = 0.868 (95 % CI, 0.825–0.901)]. The areas under the receiver operating characteristic curves for detecting subjects with AHI ≥5, ≥15, and ≥30 were 0.796 (95 % CI, 0.727–0.855), 0.974 (0.937–0.993), and 0.997 (0.971–0.999), respectively. With a predetermined criterion of CVHR index ≥15, subjects with AHI ≥15 were identified with 88 % sensitivity and 97 % specificity (likelihood ratios for positive and negative test, 30.7 and 0.12). The classification performance was retained in subgroups of subjects with obesity, hypertension, diabetes mellitus, dyslipidemia, and decreased autonomic function. Conclusions The CVHR obtained by the ACAT algorithm may provide a useful marker for screening for moderate-to-severe SDB among apparently healthy male workers.
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Abstract
The detection of the incidents of apnoea of prematurity (AP) in preterm infants is important in the intensive care unit, but this detection is often based on simple threshold techniques, which suffer from poor specificity. Three methods for the automatic detection of AP were designed, tested and evaluated using approximately 2426 h of continuous recording from 54 neonates (μ = 44 h and σ = 7 h). The first method was based on the cumulative sum of the time series of heart rate (HR), respiratory rate (RR) and oxygen saturation (SpO(2)) along with the sum of their Shannon entropy. The performance of this method gave 94.53% sensitivity, 74.72% specificity and 77.84% accuracy. The second method was based on the correlation between the time series of HR, RR and SpO(2), which were used as inputs to an artificial neural network. This gave 81.85% sensitivity, 75.83% specificity and 76.78% accuracy. The third method utilized the derivative of the three time series and yielded a performance of 100% sensitivity, 96.19% specificity and 96.79% accuracy. Although not optimized to work in real time, the latter method has the potential for forming the basis of a real time system for the detection of incidents of AP.
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Affiliation(s)
- Suliman Yousef Belal
- Imaging Science and Biomedical Engineering, The University of Manchester, The Stopford Building, Oxford Road, Manchester, UK.
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Maurer JT. Early diagnosis of sleep related breathing disorders. GMS CURRENT TOPICS IN OTORHINOLARYNGOLOGY, HEAD AND NECK SURGERY 2010; 7:Doc03. [PMID: 22073090 PMCID: PMC3199834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Abstract
Obstructive sleep apnea (OSA) being the most frequent sleep related breathing disorder results in non-restorative sleep, an increased cardiovascular morbidity and mortality as well as an elevated number of accidents. In Germany at least two million people have to be expected. If obstructive sleep apnea is diagnosed early enough then sleep may regain its restorative function, daytime performance may be improved and accident risk as well as cardiovascular risk may be normalised. This review critically evaluates anamnestic parameters, questionnaires, clinical findings and unattended recordings during sleep regarding their diagnostic accurracy in recognising OSA. There are numerous tools with insufficient results or too few data disqualifying them for screening for OSA. Promising preliminary results are published concerning neural network analysis of a high number of clinical parameters and non-linear analysis of oximetry itself or in combination with heart rate. Nasal pressure recordings can be used for risk estimation even without expertise in sleep medicine. More data is needed. Unattended portable monitoring used by qualified physicians is the gold standard procedure when screening methods for OSA are compared. It has a very high sensitivity and specificity well documented by several meta-analyses.
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Affiliation(s)
- Joachim T. Maurer
- Sleep Disorders Centre, University Dept. of Otorhinolaryngology, Head and Neck Surgery Mannheim, Medical Faculty Mannheim of the Ruprecht-Karls-University Heidelberg, Mannheim, Germany,*To whom correspondence should be addressed: Joachim T. Maurer, Sleep Disorders Centre, University Dept. of Otorhinolaryngology, Head and Neck Surgery Mannheim, Medical Faculty Mannheim of the Ruprecht-Karls-University Heidelberg, 68135 Mannheim, Germany, Telephone: +49 (0)621 383 1600, Telefax: +49 (0)621 383 1972, E-mail:
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Félix del Campo Matía, Hornero Sánchez R, Zamarrón Sanz C, Álvarez González D, Víctor Marcos Martín J. Variabilidad de la señal de frecuencia de pulso obtenida mediante pulsioximetría nocturna en pacientes con síndrome de apnea hipopnea del sueño. Arch Bronconeumol 2010; 46:116-21. [DOI: 10.1016/j.arbres.2009.11.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2009] [Revised: 10/25/2009] [Accepted: 11/16/2009] [Indexed: 11/26/2022]
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Álvarez D, Hornero R, Abásolo D, del Campo F, Zamarrón C, López M. Nonlinear measure of synchrony between blood oxygen saturation and heart rate from nocturnal pulse oximetry in obstructive sleep apnoea syndrome. Physiol Meas 2009; 30:967-82. [DOI: 10.1088/0967-3334/30/9/008] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
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Alvarez D, Hornero R, García M, del Campo F, Zamarrón C. Improving diagnostic ability of blood oxygen saturation from overnight pulse oximetry in obstructive sleep apnea detection by means of central tendency measure. Artif Intell Med 2007; 41:13-24. [PMID: 17643971 DOI: 10.1016/j.artmed.2007.06.002] [Citation(s) in RCA: 62] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2006] [Revised: 05/29/2007] [Accepted: 06/12/2007] [Indexed: 11/22/2022]
Abstract
OBJECTIVES Nocturnal pulse oximetry is a widely used alternative to polysomnography (PSG) in screening for obstructive sleep apnea (OSA) syndrome. Several oximetric indexes have been derived from nocturnal blood oxygen saturation (SaO2). However, they suffer from several limitations. The present study is focused on the usefulness of nonlinear methods in deriving new measures from oximetry signals to improve the diagnostic accuracy of classical oximetric indexes. Specifically, we assessed the validity of central tendency measure (CTM) as a screening test for OSA in patients clinically suspected of suffering from this disease. MATERIALS AND METHODS We studied 187 subjects suspected of suffering from OSA referred to the sleep unit. A nocturnal pulse oximetry study was applied simultaneously to a conventional PSG. Three different index groups were compared. The first one was composed by classical indexes provided by our oximeter: oxygen desaturation indexes (ODIs) and cumulative time spent below a saturation of 90% (CT90). The second one was formed by indexes derived from a nonlinear method previously studied by our group: approximate entropy (ApEn). The last one was composed by indexes derived from a CTM analysis. RESULTS For a radius in the scatter plot equal to 1, CTM values corresponding to OSA positive patients (0.30+/-0.20, mean+/-S.D.) were significantly lower (p<<0.001) than those values from OSA negative subjects (0.71+/-0.18, mean+/-S.D.). CTM was significantly correlated with classical indexes and indexes from ApEn analysis. CTM provided the highest correlation with the apnea-hipopnea index AHI (r=-0.74, p<0.0001). Moreover, it reached the best results from the receiver operating characteristics (ROC) curve analysis, with 90.1% sensitivity, 82.9% specificity, 88.5% positive predictive value, 85.1% negative predictive value, 87.2% accuracy and an area under the ROC curve of 0.924. Finally, the AHI derived from the quadratic regression curve for the CTM showed better agreement with the AHI from PSG than classical and ApEn derived indexes. CONCLUSION The results suggest that CTM could improve the diagnostic ability of SaO2 signals recorded from portable monitoring. CTM could be a useful tool for physicians in the diagnosis of OSA syndrome.
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Affiliation(s)
- Daniel Alvarez
- E.T.S.I. de Telecomunicación, University of Valladolid, and Hospital del Río Hortega, Servicio de Neumología, Valladolid, Spain.
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Choi SJ. Sleep Breathing Disorder. Tuberc Respir Dis (Seoul) 2007. [DOI: 10.4046/trd.2007.63.1.5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
Affiliation(s)
- Soo Jeon Choi
- Division of Respirology, Department of Medicine, Inje University Sanggye Paik Hospital, Seoul, Korea
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