The Baveno Classification as a Predictor of CPAP Titration Pressure in Obstructive Sleep Apnea Syndrome.

IF 1.8 Q3 RESPIRATORY SYSTEM
Ahmed Ehab, Axel T Kempa, Harald Englert, Shaza Almasri Bittar, Aida M Yousef, Heba Wagih Abdelwahab
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引用次数: 0

Abstract

Introduction: Obstructive sleep apnea syndrome (OSAS) is a clinical condition characterised by repeated periods of partial or full obstruction of airflow throughout sleep, with impairment of the quality of life and increased mortality with socioeconomic impacts. CPAP therapy is a simple and effective treatment option for OSAS patients. To overcome the clinical and prognostic limitations of AHI-as a sole index of OSAS-the Baveno classification was recently set out and introduced into clinical practice. This study aims to analyse the effect of the Baveno classification on the optimum CPAP titration pressure.

Methods: A retrospective analysis of the records of sleep studies in two centres between 2018 and 2021 was carried out. Patients diagnosed with OSAS and recruited for CPAP titration were included. Based on the Baveno classification, the patients were categorised into four groups (A, B, C, and D).

Results: Consequently, 700 patients were analysed and 427 patients were included. A significant positive correlation was detected between the CPAP optimum titration pressure and OSAS severity, neck circumference, the oxygen desaturation index (ODI), mean oxygen saturation, the AHI, the BMI, and cumulative sleep time when the SpO2 was <90% (T90) on the other side (p: <0.0001). A non-significant correlation was seen between the Epworth Sleepiness Scale (ESS), symptom severity, end organ impact, and Baveno classification of the CPAP optimum titration pressure (p: 0.8, 0.4, 0.5, and 0.7, respectively).

Conclusions: The Baveno classification is not useful in the prediction of CPAP optimum titration pressure. However, the ODI and neck circumference were significant independent predictors of a higher CPAP titration pressure.

作为阻塞性睡眠呼吸暂停综合症患者 CPAP 调整压力预测指标的 Baveno 分类。
简介阻塞性睡眠呼吸暂停综合症(OSAS)是一种临床症状,其特点是在整个睡眠过程中反复出现部分或全部气流阻塞,影响生活质量,并增加死亡率和社会经济影响。CPAP 疗法是治疗 OSAS 患者的一种简单而有效的方法。为了克服 AHI 作为 OSAS 唯一指标在临床和预后方面的局限性,最近制定了 Baveno 分级法,并将其引入临床实践。本研究旨在分析 Baveno 分级对 CPAP 最佳滴定压力的影响:对 2018 年至 2021 年期间两个中心的睡眠研究记录进行了回顾性分析。纳入了被诊断为 OSAS 并被招募进行 CPAP 滴定的患者。根据 Baveno 分类法,将患者分为四组(A、B、C 和 D):结果:共对 700 名患者进行了分析,427 名患者被纳入其中。在 CPAP 最佳滴定压力与 OSAS 严重程度、颈围、血氧饱和度指数 (ODI)、平均血氧饱和度、AHI、体重指数和累积睡眠时间之间发现了明显的正相关(当 SpO2 为 p 时:p 分别为 0.8、0.4、0.5 和 0.7):结论:巴韦诺分类法对预测 CPAP 最佳滴定压力没有帮助。然而,ODI 和颈围是较高 CPAP 滴定压力的重要独立预测指标。
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来源期刊
Advances in respiratory medicine
Advances in respiratory medicine RESPIRATORY SYSTEM-
CiteScore
2.60
自引率
0.00%
发文量
90
期刊介绍: "Advances in Respiratory Medicine" is a new international title for "Pneumonologia i Alergologia Polska", edited bimonthly and addressed to respiratory professionals. The Journal contains peer-reviewed original research papers, short communications, case-reports, recommendations of the Polish Respiratory Society concerning the diagnosis and treatment of lung diseases, editorials, postgraduate education articles, letters and book reviews in the field of pneumonology, allergology, oncology, immunology and infectious diseases. "Advances in Respiratory Medicine" is an open access, official journal of Polish Society of Lung Diseases, Polish Society of Allergology and National Research Institute of Tuberculosis and Lung Diseases.
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