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本文引用的文献

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Anthropometric Factors in the Assessment of Obstructive Sleep Apnea Risk in Patients with Metabolic Syndrome.人体测量因素在代谢综合征患者阻塞性睡眠呼吸暂停风险评估中的作用。
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2
What can anthropometric measurements tell us about obstructive sleep apnoea?人体测量学指标能告诉我们关于阻塞性睡眠呼吸暂停的哪些信息?
Folia Morphol (Warsz). 2017;76(2):301-306. doi: 10.5603/FM.a2016.0058. Epub 2016 Oct 7.
3
Prevalence of Risk for Obstructive Sleep Apnea Syndrome and Association With Risk Factors in Primary Care.基层医疗中阻塞性睡眠呼吸暂停低通气综合征风险的患病率及其与危险因素的关联
Arq Bras Cardiol. 2016 Jun;106(6):474-80. doi: 10.5935/abc.20160061. Epub 2016 May 3.
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Correlation of cephalometric and anthropometric measures with obstructive sleep apnea severity.头影测量和人体测量指标与阻塞性睡眠呼吸暂停严重程度的相关性
Int Arch Otorhinolaryngol. 2013 Jul;17(3):321-8. doi: 10.7162/S1809-977720130003000013.
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Obstructive sleep apnea syndrome: a literature review.阻塞性睡眠呼吸暂停综合征:文献综述
Minerva Stomatol. 2015 Apr;64(2):97-109.
6
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Braz J Otorhinolaryngol. 2015 Jan-Feb;81(1):79-84. doi: 10.1016/j.bjorl.2014.06.001. Epub 2014 Nov 20.
7
The associations between anthropometric indices and obstructive sleep apnea in a Korean population.韩国人群中人体测量指数与阻塞性睡眠呼吸暂停之间的关联。
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8
Obstructive sleep apnea and pulmonary function in patients with severe obesity before and after bariatric surgery: a randomized clinical trial.肥胖症手术前后重度肥胖患者的阻塞性睡眠呼吸暂停与肺功能:一项随机临床试验
Multidiscip Respir Med. 2014 Aug 9;9(1):43. doi: 10.1186/2049-6958-9-43. eCollection 2014.
9
Neck circumference is a predictor of metabolic syndrome and obstructive sleep apnea in short-sleeping obese men and women.颈围是预测短睡眠肥胖男性和女性代谢综合征和阻塞性睡眠呼吸暂停的指标。
Metab Syndr Relat Disord. 2014 May;12(4):231-41. doi: 10.1089/met.2013.0093. Epub 2014 Feb 26.
10
Neck circumference, metabolic syndrome and obstructive sleep apnea syndrome; evaluation of possible linkage.颈围、代谢综合征与阻塞性睡眠呼吸暂停综合征;可能关联的评估。
Med Sci Monit. 2013 Feb 13;19:111-7. doi: 10.12659/MSM.883776.

肥胖人群阻塞性睡眠呼吸暂停预后的人体测量指标

Anthropometric Measures for the Prognosis of Obstructive Sleep Apnea in Obese.

作者信息

Lagares Laura Souza, Lino Ramon Souza, Bomfim Eric Simas, Santos Felipe Almeida, Queiroz Ciro Oliveira, Pinto Lélia Lessa, Almeida Luiz Alberto Bastos, Santos Clarcson Plácido

机构信息

Physical Education, Research and Study Group on Health and Human Performance, Bahian School of Medicine and Public Health.

Biomechanics and Strength Training Specialist, Obesity Treatment and Surgery Center.

出版信息

Clin Med Res. 2022 Aug 26;20(3):147-52. doi: 10.3121/cmr.2022.1679.

DOI:10.3121/cmr.2022.1679
PMID:36028283
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9544195/
Abstract

OBJECTIVE

The objective of this study was to identify, among the different anthropometric indicators, the one that shows higher discriminatory power for the prognosis of Obstructive Sleep Apnea Syndrome (OSAS).

DESIGN

Observational cross-sectional study PARTICIPANTS: Obese individuals elective to bariatric surgery METHODS: A study based on data of 758 patients aged ≥ 21 years old, of both sexes, in the pre-operatory stage of the surgical procedure of gastric bypass. Obstructive sleep apnea and obstructive sleep hypopnea were evaluated and classified through the apnea-hypopnea index, which was obtained through the examination of polysomnography. Variables were divided into two groups: individuals with and without OSAS. As predictors, measures of body mass index (BMI), neck circumference (NC), and waist circumference (WC) were used.

RESULTS

The area under the ROC curve was used to check the sensitivity and specificity. All evaluated anthropometric indicators showed statistical significance. WC: area of 0.62 (CI 95%: 0.58 - 0.67), NC: area of 0,68 (CI 95%: 0.64 - 0.72) and BMI: area of 0.58 (CI 95%: 0.54 - 0.63).

CONCLUSION

The investigated anthropometric indicators performed as good predictors of OSAS. However, NC seems to be the best anthropometric indicator for the prognosis of OSAS in obese individuals when compared to BMI and WC.

摘要

目的

本研究的目的是在不同人体测量指标中,确定对阻塞性睡眠呼吸暂停综合征(OSAS)预后具有更高鉴别力的指标。

设计

观察性横断面研究

参与者

择期进行减肥手术的肥胖个体

方法

一项基于758例年龄≥21岁、男女皆有的患者在胃旁路手术术前阶段数据的研究。通过多导睡眠图检查获得呼吸暂停低通气指数,对阻塞性睡眠呼吸暂停和阻塞性睡眠低通气进行评估和分类。变量分为两组:患有和未患有OSAS的个体。作为预测指标,使用了体重指数(BMI)、颈围(NC)和腰围(WC)的测量值。

结果

使用ROC曲线下面积来检验敏感性和特异性。所有评估的人体测量指标均具有统计学意义。WC:面积为0.62(95%置信区间:0.58 - 0.67),NC:面积为0.68(95%置信区间:0.64 - 0.72),BMI:面积为0.58(95%置信区间:0.54 - 0.63)。

结论

所研究的人体测量指标可作为OSAS的良好预测指标。然而,与BMI和WC相比,NC似乎是肥胖个体中OSAS预后的最佳人体测量指标。