Glotov A V, Fedorova T N, Goltyapin V V, Akhmedov V A
Omsk State Medical University, Ministry of Health of Russia, Omsk, Russia; Siberian State University of Physical Education and Sport, Omsk, Russia.
Siberian State University of Physical Education and Sport, Omsk, Russia.
Ter Arkh. 2017;89(12):28-33. doi: 10.17116/terarkh2017891228-33.
By using mathematical modeling, to evaluate the impact of upper respiratory tract diseases, retro- and micrognathia, and body mass index (BMI) on nocturnal pulse oximetry indicators (oxygen saturation level and oxygen desaturation index) in outpatients examined for suspected obstructive sleep apnea syndrome (OSAS).
The study enrolled 260 subjects with a mean age of 47.8±12.0 years. All the examinees underwent outpatient pulse oximetry screening during nocturnal sleep because of suspected OSAS. Multislice spiral computed tomography was carried out to assess the paranasal sinuses and nasal septum. BMI was calculated. Variance factor analysis using an original programming application intended to create binary and ternary dispersion complexes was employed as a main mathematical tool.
There were statistically significantly sets of risk factors for OSAS: nasal septum deviation + increased BMI + male gender = 68.66%; chronic allergic rhinitis + increased BMI + male gender = 63.09%; retromicrognathia + increased BMI + male ganger = 59.48%; and chronic tonsillitis + increased BMI + male gander = 60.88%. Higher BMI and male gender are a most statistically significant set of risk factors.
Pulse oximetry screening during nocturnal sleep in snoring patients with suspected OSAS in combination with an assessment of age, sex, BMI, ENT comorbidity, retro- and micrognathia can predict the severity of the disease and serve as a basis for elaborating an OSAS screening program.
通过数学建模，评估上呼吸道疾病、下颌后缩及小颌畸形和体重指数（BMI）对疑似阻塞性睡眠呼吸暂停低通气综合征（OSAS）门诊患者夜间脉搏血氧饱和度指标（氧饱和度水平和氧去饱和指数）的影响。
本研究纳入260名平均年龄为47.8±12.0岁的受试者。所有受试者因疑似OSAS在夜间睡眠期间接受门诊脉搏血氧饱和度筛查。进行多层螺旋计算机断层扫描以评估鼻窦和鼻中隔。计算BMI。使用旨在创建二元和三元离散复合物的原始编程应用程序进行方差因子分析作为主要数学工具。
OSAS存在具有统计学意义的危险因素组合：鼻中隔偏曲 + BMI升高 + 男性 = 68.66%；慢性变应性鼻炎 + BMI升高 + 男性 = 63.09%；下颌后缩及小颌畸形 + BMI升高 + 男性 = 59.48%；慢性扁桃体炎 + BMI升高 + 男性 = 60.88%。较高的BMI和男性是最具统计学意义的危险因素组合。
对疑似OSAS的打鼾患者进行夜间睡眠期间的脉搏血氧饱和度筛查，结合对年龄、性别、BMI、耳鼻喉科合并症、下颌后缩及小颌畸形的评估，可以预测疾病的严重程度，并为制定OSAS筛查方案提供依据。
