scholarly journals Differences in Anthropometric and Clinical Features among Preschoolers, School-Age Children, and Adolescents with Obstructive Sleep Apnea—A Hospital-Based Study in Taiwan

2020 ◽  
Vol 17 (13) ◽  
pp. 4663
Author(s):  
Hai-Hua Chuang ◽  
Jen-Fu Hsu ◽  
Li-Pang Chuang ◽  
Ning-Hung Chen ◽  
Yu-Shu Huang ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Clinical Features ◽  
Neck Circumference ◽  
School Age Children ◽  
Apnea Hypopnea Index ◽  
School Age ◽  
Z Score ◽  
Lymphocyte Ratio ◽  
Obstructive Sleep

Pediatric obstructive sleep apnea (OSA) is associated with adverse health outcomes; however, little is known about the diversity of this population. This retrospective study aims to investigate age-related differences in the anthropometric and clinical features of this population. A total of 253 Taiwanese children (70 (27.7%) girls and 183 (72.3%) boys) with OSA were reviewed. Their median age, body mass index (BMI) z-score, and apnea-hypopnea index were 6.9 years, 0.87, and 9.5 events/h, respectively. The cohort was divided into three subgroups: ‘preschoolers’ (≥2 and <6 years), ‘school-age children’ (≥6 and <10 years), and ‘adolescents (≥10 and <18 years)’. The percentage of the male sex, BMI z-score, neck circumference, systolic blood pressure z-score, neutrophil-to-lymphocyte ratio, and platelet-to-lymphocyte ratio tended to increase with age. Adenoid grades tended to decrease with age. Overall, disease severity was independently correlated with neck circumference, tonsil size, and adenoid grade. Increased neck circumference and tonsillar hypertrophy were the most influential factors for younger children, whereas adenoidal hypertrophy became more important at an older age. In conclusion, gender prevalence ratio, anthropometric measures, and clinical features varied with age, and the pathogenic drivers were not necessarily the same as the aggravating ones.

scholarly journals Clinical Features and Contributing Factors of Excessive Daytime Sleepiness in Chinese Obstructive Sleep Apnea Patients: The Role of Comorbid Symptoms and Polysomnographic Variables

2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Chuan Shao ◽  
Huan Qi ◽  
Ruyi Lang ◽  
Biyun Yu ◽  
Yaodong Tang ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Clinical Features ◽  
Excessive Daytime Sleepiness ◽  
Daytime Sleepiness ◽  
Memory Loss ◽  
Apnea Hypopnea Index ◽  
Contributing Factors ◽  
Obstructive Sleep ◽  
Work Commute

Background. The occurrence and severity of excessive daytime sleepiness (EDS) vary considerably among obstructive sleep apnea (OSA) patients. This study was designed to investigate the characteristics of EDS and identify its contributing factors in OSA patients. Methods. This was a cross-sectional study from a tertiary medical center in China. A total of 874 consecutive patients with newly diagnosed OSA were included. Subjective daytime sleepiness was assessed with the Epworth Sleepiness Scale (ESS). The subjects were assigned to the non-EDS group (582 patients), mild to moderate EDS group (227 patients), and severe EDS group (65 patients) according to the ESS scores. The clinical features and polysomnographic parameters were acquired and analyzed to identify the differences between groups and the determinants of EDS. Results. The age of patients with severe EDS (49.5 ± 11.3) was slightly greater than that of patients with mild to moderate EDS (44.5 ± 10.2) (p<0.05) and non-EDS patients (45.2 ± 12.0) (p<0.05). Body mass index (BMI) was highest in the severe EDS group (29.1 ± 3.6 kg/m2) (p<0.0001), intermediate in the mild to moderate EDS group (27.9 ± 3.3 kg/m2), and lower in the non-EDS group (26.8 ± 3.3 kg/m2). Logistic regression analysis showed waist circumference, memory loss, work/commute disturbances, and sleep efficiency were independently associated with mild to moderate EDS, and the microarousal index, apnea-hypopnea index (AHI), and saturation impair time below 90% were independent contributing factors of mild to moderate EDS. Meanwhile, age, neck circumference, gasping/choking, memory loss, work/commute disturbances, and sleep latency were independently associated with severe EDS, and the AHI and mean SpO2 were independent contributing factors of severe EDS. Conclusions. OSA patients with various severities of EDS are more obese and have more comorbid symptoms compared to patients without EDS. Sleep fragmentation, respiratory events, and nocturnal hypoxia may be predictors of EDS. Comprehensive consideration of demographic, clinical, and polysomnographic factors is required when evaluating OSA patients.

scholarly journals 0864 PREVALENCE OF ATOPY IN SCHOOL-AGE CHILDREN WITH THE OBSTRUCTIVE SLEEP APNEA SYNDROME

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A321-A321
Author(s):  
IE Tapia ◽  
JM Spergel ◽  
RM Bradford ◽  
MA Cornaglia ◽  
L Karamessinis ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Obstructive Sleep Apnea Syndrome ◽  
Sleep Apnea Syndrome ◽  
School Age Children ◽  
School Age ◽  
Obstructive Sleep ◽  
Apnea Syndrome

scholarly journals 0502 RELATIONSHIP BETWEEN ANTHROPOMETRIC PARAMETERS AND OBSTRUCTIVE SLEEP APNEA IN SCHOOL AGE CHILDREN

SLEEP ◽  
2017 ◽  
Vol 40 (suppl_1) ◽  
pp. A187-A187
Author(s):  
C Arevalo ◽  
J Kim ◽  
S Castro ◽  
J Shults ◽  
M Xanthopoulos ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
School Age Children ◽  
School Age ◽  
Anthropometric Parameters ◽  
Obstructive Sleep

scholarly journals Association between neck circumference and the severity of obstructive sleep apnea

2020 ◽  
Author(s):  
Shah Ibrahim Mohd Irman ◽  
Mohamad Hazama ◽  
Mohamad Amran ◽  
Mohamad Irfan
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Pearson Correlation ◽  
Local Population ◽  
Multiple Linear Regression Model ◽  
Mean Value ◽  
Neck Circumference ◽  
Apnea Hypopnea Index ◽  
Obstructive Sleep ◽  
Tertiary Center

Introduction: Neck circumference (NC) is one of the parameters to be associated with obstructive sleep apnea (OSA). However, there is lack of research data reflecting our local population with regard to the size of NC in relation to the severity of OSA. Aim: The primary goal of this study was to investigate the association of NC with OSA and to compare NC with other parameters as a predictor of the severity of OSA, among local population. This future reliable parameter can be used in front line clinics as to guide the referral to the tertiary center. Material and methods: This was a prospective study conducted upon 120 OSA patients, aged within 18–55 years, who underwent overnight polysomnography with apnea/hypopnea index more than 5 and met all the inclusion criteria. All patients completed the Epworth sleepiness scale questionnaire while all the parameter measurement including height, weight, body mass index and NC were documented. Results and discussion: A Pearson correlation analysis showed NC was significantly associated with OSA (r = 0.495, P < 0.001) while multiple linear regression model displayed an association between NC and lowest SpO2 desaturation during sleep (LSAT) as predictors of OSA severity (P < 0.001). Mean value of NC also significantly higher among severe OSA compared to mild OSA (42.7 ± 0.9 cm vs. 39.0 ± 1.3 cm; P < 0.001). Conclusions: NC was significantly associated with OSA and both NC and LSAT were significantly correlated as predictors of OSA severity.

scholarly journals Polysomnographic and clinical characteristics of positional obstructive sleep apnea patients

2021 ◽  
Vol 15 (1) ◽  
Author(s):  
Seda Beyhan Sagmen ◽  
Sevda Cömert
Keyword(s):  
Body Mass Index ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Body Mass ◽  
Severe Disease ◽  
Upper Airway ◽  
Neck Circumference ◽  
Apnea Hypopnea Index ◽  
Obstructive Sleep ◽  
The Mean

Abstract Background Obstructive sleep apnea is a condition characterized by the complete or partial obstruction of the upper airway during sleep. This study aimed to compare the clinical and polysomnographic characteristics of our obstructive sleep apnea patients according to their positional and non-positional features. Results Two hundred eighty patients were included in the study. One hundred two patients (36.43%) were female, while 178 patients (63.57%) were male. While 88 (31.43%) of these patients were defined as positional patients, 192 (68.57%) were defined as non-positional patients. The mean age of the positional patients (46.78 ± 9.66) was lower than the mean age of the non-positional patients (50.90 ± 10.96) (p 0.001). Similarly, the mean body mass index of the positional patients (29.39 ± 3.80) was lower than the mean body mass index of the non-positional patients (33.30 ± 6.45) (p < 0.001). Neck circumference values of the positional patients (40.36 ± 2.65) were lower compared to the non-positional patients (43.32 ± 2.54) (p < 0.001). Sleep values were compared based on the presence of positional sleep apnea. In the positional patients, sleep duration, sleep efficiency (percentage), duration of stage N3, minimum, and mean saturation values were found to be higher compared to the non-positional patients, while nightlong apnea hypopnea index, apnea index, percentage of sleep time with oxygen saturation below 90%, oxygen desaturation index, mean heart rate, and periodic limb movement index values were found to be lower (p < 0.05). The rate of severe sleep apnea (7.95%) in the positional patients was lower than the non-positional patients (53.65%) (p < 0.001). Conclusion In the light of these data, positional OSA is a very important condition presented in 31.43% of OSA patients and it was determined that these patients were younger, had less body mass index, and shorter neck circumference. The rate of severe disease was found to be lower in positional OSA patients

scholarly journals Snoring and obstructive sleep apnea in Thai school‐age children: Prevalence and predisposing factors

2001 ◽  
Vol 32 (3) ◽  
pp. 222-227 ◽  
Author(s):  
Wanaporn Anuntaseree ◽  
Korpong Rookkapan ◽  
Surachai Kuasirikul ◽  
Paramee Thongsuksai
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Predisposing Factors ◽  
School Age Children ◽  
School Age ◽  
Obstructive Sleep

scholarly journals Natural history of snoring and obstructive sleep apnea in Thai school-age children

2005 ◽  
Vol 39 (5) ◽  
pp. 415-420 ◽  
Author(s):  
Wanaporn Anuntaseree ◽  
Surachai Kuasirikul ◽  
Somchai Suntornlohanakul
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Natural History ◽  
School Age Children ◽  
School Age ◽  
Obstructive Sleep ◽  
History Of

scholarly journals HUBUNGAN UKURAN ANTROPOMETRI DENGAN DERAJAT OBSTRUCTIVE SLEEP APNEA

2018 ◽  
Vol 35 (2) ◽  
Author(s):  
Marthin Tori ◽  
Herlina Suryawati ◽  
Amin Husni
Keyword(s):  
Body Mass Index ◽  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Body Mass ◽  
Neck Circumference ◽  
Anthropometric Measurements ◽  
International Organization ◽  
Abdominal Circumference ◽  
Apnea Hypopnea Index ◽  
Obstructive Sleep

CORRELATION BETWEEN ANTHROPOMETRIC MEASUREMENTS AND STAGE OF OBSTRUCTIVE SLEEP APNEAABSTRACKIntroduction: Obstructive sleep apnea (OSA) is estimated to occur 2-10% worldwide and associated with various diseases. OSA severity can be assessed by apnea hypopnea index (AHI). Increased anthropometric measurements indicate increased thickness of fatty tissue in the neck, as well as fatty deposits of the abdomen which can cause constriction of the airways. Other variables suspected to have an effect on AHI are age, sex, smoking habit, and Mallampati score.Aims: To analyze the correlation between anthropometric measurements and OSA severity.Methods: Descriptive analytic studies on OSA patients treated at Dr. Kariadi Hospital, Semarang, January- August 2017. Subjects were included in the study if STOPBANG score was >2. Anthropometric measurements (body mass index, neck circumference, abdominal circumference) was performed on the basis of the International Organization for Standardization (ISO) method while AHI was measured with polysomnography.Results: Bivariate correlation test on 23 subjects showed significant correlation between OSA severity with body mass index (BMI) and neck circumference but no significant correlation with abdominal circumference. Multivariate test showed the most influential variable was BMI.Discussion:  There were significant correlations between anthropometric measurements  (BMI  and neck circumference) with OSA severity.Keywords: Abdominal circumference, apnea hypopnea index, body mass index, neck circumference, obstructive sleep apneaABSTRAKPendahuluan: Obstructive sleep apnea (OSA) diperkirakan terjadi 2-10% di seluruh dunia yang berkaitan dengan berbagai macam penyakit. Derajat OSA dinilai dengan indeks apnea-hypopnea (apnea hypopnea index/AHI). Tingginya nilai antropometri tubuh menandakan tebalnya jaringan lemak pada leher, demikian pula deposit lemak pada abdomen dapat menyebabkan penyempitan pada saluran napas. Variabel lain yang diduga berpengaruh terhadap AHI adalah usia, jenis kelamin, kebiasaan merokok, dan skor Mallampati.Tujuan: Menganalisis hubungan ukuran antropometri dengan derajat OSA.Metode: Studi deskriptif analitik secara potong lintang dilakukan terhadap pasien dengan OSA di RSUP Dr. Kariadi, Semarang, pada bulan Januari-Agustus 2017. Kriteria inklusi adalah pasien yang dicurigai OSA berdasarkan skor STOPBANG >2. Pemeriksaan antropometri (indeks massa tubuh/IMT, lingkar leher, dan lingkar perut) berdasarkan metode dari ISO (the International Organization for Standardization), sedangkan pemeriksaan AHI menggunakan polisomnografi.Hasil: Uji korelasi bivariat terhadap 23 subjek menunjukkan hubungan bermakna antara derajat OSA dengan IMT dan lingkar leher, namun tidak berhubungan dengan lingkar perut. Uji multivariat menunjukkan variabel yang paling berhubungan dengan derajat OSA adalah IMT.Diskusi: Terdapat hubungan bermakna antara ukuran antropometri (IMT dan lingkar leher) dengan derajat OSA.Kata kunci: Apnea hypopnea index, indeks massa tubuh, lingkar leher, lingkar perut, obstructive sleep apnea

scholarly journals Analyzing Neck Circumference as an Indicator of CPAP Treatment Response in Obstructive Sleep Apnea with Network Medicine

Diagnostics ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 86
Author(s):  
Stefan Mihaicuta ◽  
Lucreţia Udrescu ◽  
Mihai Udrescu ◽  
Izabella-Anita Toth ◽  
Alexandru Topîrceanu ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Treatment Response ◽  
Area Under The Curve ◽  
Positive Likelihood Ratio ◽  
Neck Circumference ◽  
Apnea Hypopnea Index ◽  
Anthropometric Measures ◽  
Cpap Treatment ◽  
Obstructive Sleep

We explored the relationship between obstructive sleep apnea (OSA) patients’ anthropometric measures and the CPAP treatment response. To that end, we processed three non-overlapping cohorts (D1, D2, D3) with 1046 patients from four sleep laboratories in Western Romania, including 145 subjects (D1) with one-night CPAP therapy. Using D1 data, we created a CPAP-response network of patients, and found neck circumference (NC) as the most significant qualitative indicator for apnea–hypopnea index (AHI) improvement. We also investigated a quantitative NC cutoff value for OSA screening on cohorts D2 (OSA-diagnosed) and D3 (control), using the area under the curve. As such, we confirmed the correlation between NC and AHI (ρ=0.35, p<0.001) and showed that 71% of diagnosed male subjects had bigger NC values than subjects with no OSA (area under the curve is 0.71, with 95% CI 0.63–0.79, p<0.001); the optimal NC cutoff is 41 cm, with a sensitivity of 0.8099, a specificity of 0.5185, positive predicted value (PPV) = 0.9588, negative predicted value (NPV) = 0.1647, and positive likelihood ratio (LR+) = 1.68. Our NC =41 cm threshold classified the D1 patients’ CPAP responses—measured as the difference in AHI prior to and after the one-night use of CPAP—with a sensitivity of 0.913 and a specificity of 0.859.

Clinical Predictors of Pediatric Obstructive Sleep Apnea Syndrome

2018 ◽  
Vol 127 (9) ◽  
pp. 608-613 ◽  
Author(s):  
Chi-Chih Lai ◽  
Pei-Wen Lin ◽  
Hsin-Ching Lin ◽  
Michael Friedman ◽  
Hsueh-Wen Chang ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
Nasal Obstruction ◽  
Linear Regression Analysis ◽  
Mouth Breathing ◽  
Apnea Hypopnea Index ◽  
Physical Factors ◽  
Z Score ◽  
Adequate Model ◽  
Obstructive Sleep

Objective: To develop an adequate model using reliable clinical and physical factors to predict pediatric obstructive sleep apnea/hypopnea syndrome (OSAS). Methods: Complete anthropometric measurements including BMI z score, tonsil size grading, and updated Friedman tongue position (uFTP) were evaluated. Subjective assessments of clinical symptoms/signs, including snoring visual analog scale (VAS), nasal obstruction, and mouth breathing, were recorded. Results: Eighty-eight children (57 boys and 31 girls, mean age = 9.0 years) were confirmed to have OSAS by comprehensive polysomnography (PSG). When the aforementioned variables were analyzed individually, the results indicated that snoring VAS, nasal obstruction, mouth breathing, and BMI z score were reliable predictors of apnea/hypopnea index (AHI/h) values (correlation coefficient r = 0.386, P < .001; r = 0.416, P < .001; r = 0.255, P = .02; and r = 0.243, P = .02, respectively). When all significant factors were included in the stepwise multiple linear regression analysis, the final predictive model is: Pediatric AHI = 0.108 + 0.103 snoring VAS + 0.894 nasal obstruction + 0.207 BMI z score ( F = 4.06, P = .01). Conclusion: The proposed noninvasive, simple, inexpensive, and easy to perform screening tool could be used to predict pediatric OSAS. An abnormal calculated AHI may prompt clinical physicians to conduct further PSG diagnostics and treatment.

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