阻塞性睡眠呼吸暂停低通气综合征患者严重程度的影响因素分析

Abstract
Figure/Table
References (24)
Related Citation (12)

Download: PDF (738 KB) HTML (1 KB)
Export: BibTeX | EndNote (RIS)

Abstract Objective To investigate the sleep apnea hypopnea index (AHI) grade in patients with obstructive sleep apnea hypopnea syndrome (OSASH) and its independent risk factors. Methods A total of 300 patients with sleep-disordered breathing admitted to the First People′s Hospital of Kashgar from July 2019 to July 2021 were selected as the research objects. According to AHI, AHI<5 times/h and polysomnography (PSG) indicated snoring were divided into simple snoring group. 5-14 times/h was considered as mild, 15-30 times/h was considered as moderate, and >30 times/h was considered as severe. All patients were divided into OSASH group. Univariate analysis was used to screen the related factors of OSASH patients, and multivariate logistic regression was used to analyze the independent risk factors of AHI classification. The factor analysis method was used to reduce the dimension of all factors, and the factors were rotated to extract the common factors. Results Among the 300 OSAHS patients, 168 were simple snoring (56.00%) and 132 were in the OSASH group (44.00%), of which 74 were mild (56.06%), 23 were moderate (17.42%), and 35 were severe (26.52%). There were significant differences in body mass index (BMI), history of hypertension, history of diabetes,neck circumference, abdominal circumference, systolic blood pressure, diastolic blood pressure, Epworth sleeping scale(ESS), AHI, frequency of apnea or hypopnea, and cumulative time of apnea or hypopnea between simple snoring group and OSASH group (P<0.05). There were statistically significant differences in BMI, ESS, AHI, times of apnea or hypopnea, cumulative time of apnea or hypopnea, and blood oxygen saturation in patients with different degrees of OSAHS (P<0.05). A total of 4 independent factors with common factor variance eigenvalue ≥1 were extracted,namely PSG monitoring related indicators, cardiovascular related indicators, age and medical history, and ethnic body mass indicators. Multivariate logistic analysis showed that BMI, ESS, AHI, times of apnea or hypopnea, and cumulative time of apnea or hypopnea were risk factors for the severity of OSAHS (OR＞1, P<0.05). Conclusion BMI, ESS, AHI,the number of apnea or hypopnea, and the cumulative time of apnea or hypopnea are independent influencing factors of the severity of OSASH patients. Clinical interventions should be targeted at these factors.

Key words： Obstructive sleep apnea hypopnea syndrome Logistic multivariate regression analysis Factor analysis;Model prediction

	Service

	E-mail this article
	Add to my bookshelf
	Add to citation manager
	E-mail Alert
	RSS
	Articles by authors
	ZHENG Aifang
	WANG Liang
	LI Li

Cite this article:

ZHENG Aifang,WANG Liang,LI Li. Influencing factors of the severity of obstructive sleep apnea hypopnea syndrome[J]. 中国当代医药, 2022, 29(27): 5-9.

URL:

https://www.dangdaiyiyao.com/EN/ OR https://www.dangdaiyiyao.com/EN/Y2022/V29/I27/5

[1]	王红梅，李连贺.神经心理量表联合事件相关电位对中、重度阻塞性睡眠呼吸暂停低通气综合征患者轻度认知功能障碍的评价[J].山东大学耳鼻喉眼学报，2018，32（2）：56-61.
[2]	王丽飞，关巍.阻塞性睡眠呼吸暂停低通气患者认知功能与脑结构变化研究[J].放射学实践，2018，33（6）：637-641.
[3]	Suh S，Cho N，Zhang JH.Sex differences in insomnia：from epidemiology and etiology to intervention[J].Curr Psychiatry Rep，2018，20（9）：69.
[4]	Cho YW，Kim KT，Moon HJ，et al.Comorbid insomnia with obstructive sleep apnea：clinical characteristics and risk factors[J].J Clin Sleep Med，2018，14（3）：409-417.
[5]	中华医学会呼吸病学分会睡眠呼吸疾病学组.阻塞性睡眠呼吸暂停低通气综合征诊治指南（2011年修订版）[J].中华结核和呼吸杂志，2012，35（1）：9-12.
[6]	张鹏，赵忠新，崔丽英.中国成人失眠诊断与治疗指南（2017 版）[J].中华神经科杂志，2018，51（5）：324-335.
[7]	刘虹兵，王民登，高欣，等.2 型糖尿病合并阻塞性睡眠呼吸暂停综合征病情严重程度与糖脂代谢、炎症因子及肾功能的相关性研究[J].中国现代医学杂志，2019，29（23）：87-93.
[8]	中华医学会呼吸病学会睡眠呼吸学组，中华医学会糖尿病学会.阻塞性睡眠呼吸暂停与糖尿病专家共识[J].中华糖尿病杂志，2010，2（1）：1-7.
[9]	蔡泽川，李涛平，陆晓霞，等.阻塞性睡眠呼吸暂停低通气综合征的呼吸阻力变化的意义[J].南方医科大学学报，2018，38（6）：765-768.
[10]	何丽蓉，况九龙，文慧兰.阻塞性睡眠呼吸暂停低通气综合征相关性高血压舒张压及收缩压及影响因素分析[J].中国全科医学，2015，18（4）：417-420.
[11]	Wu J，Gu M，Chen S，et al.Factors related to pediatric obstructive sleep apnea-hypopnea syndrome in children with attention deficit hyperactivity disorder in different age groups[J].Medicine （Baltimore），2017，96（42）：e8281.
[12]	杨傲.青少年肥胖人群发生阻塞性睡眠呼吸暂停低通气综合征的相关代谢高危因素[J].世界睡眠医学杂志，2018，5（7）：846-848.
[13]	谭冰，吴格怡，陈旭亮，等.二甲双胍对阻塞性睡眠呼吸暂停低通气综合征合并糖尿病患者治疗效果观察[J].中外医学研究，2018，16（9）：36-38.
[14]	Leong SM，Tiwari A，Chung F，et al.Obstructive sleep apnea as a risk factor associated with difficult airway management-A narrative review[J].J Clin Anesth，2018，45：63-68.
[15]	Sinha A，Jayaraman L，Punhani D.Predictors of difficult airway in the obese are closely related to safe apnea time[J].J Anaesthesiol Clin Pharmacol，2020，36（1）：25-30
[16]	Pera MH，Tardelli MA，Novo NF，et al.Correlation between obstructive apnea syndrome and difficult airway in ENT surgery[J].Rev Bras Anestesiol，2018，68（6）：543-548.
[17]	Yadav NK，Rudingwa P，Mishra SK，et al.Ultrasound measurement of anterior neck soft tissue and tongue thickness to predict difficult laryngoscopy-An observational analytical study[J].Indian J Anaesth，2019，63（8）：629-634.
[18]	Zeng G，Teng Y，Zhu J，et al.Clinical application of MRIrespiratory gating technology in the evaluation of children with obstructive sleep apnea hypopnea syndrome[J].Medicine（Baltimore），2018，97（4）：e9680.
[19]	Kong D，Qin Z，Wang W，et al.Effect of obstructive sleep apnea on carotid artery intima media thickness related to inflammation[J].Clin Invest Med，2017，40（1）：25-33.
[20]	Jia L，Fan J，Cui W，et al.Endothelial cell-derived microparticles from patients with obstructive sleep apnea hypoxia syndrome and coronary artery disease increase aortic endothelial cell dysfunction[J].Cell Physiol Biochem，2017，43（6）：2562-2570.
[21]	于悦，肖莉.阻塞性睡眠呼吸暂停低通气综合征与代谢综合征的关系及研究现状[J].国际呼吸杂志，2018，38（6）：469-473
[22]	Ye XH，Chen H，Yu Q，et al.Liver X receptor gene expression is enhanced in children with obstructive sleep apneahyperpnoea syndrome and cyclooxygenase-2 （COX-2） is correlated with severity of obstructive sleep apnea- hypopnea syndrome（OSAHS）[J].Med Sci Monit，2017，23：3261-3268
[23]	董新秀，胡慧，王凌，等.蒙特利尔认知评估量表在评估轻度认知损害老人中的验证性因素分析[J].中华神经科杂志，2018，51（12）：966-971
[24]	Shen YC，Kung SC，Chang ET，et al.The impact of obesity in cognitive and memory dysfunction in obstructive sleep apnea syndrome[J].Int J Obes（Lond），2019，43（2）：355-361.