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阻塞性睡眠呼吸暂停中 Baveno 分类的实施及其与焦虑和抑郁症状的相关性。

Implementation of the Baveno Classification in Obstructive Sleep Apnea and Its Correlation with Symptoms of Anxiety and Depression.

机构信息

Pulmonology Clinic, University Clinical Centre Kragujevac, 34000 Kragujevac, Serbia.

Faculty of Medical Sciences, University of Kragujevac, 34000 Kragujevac, Serbia.

出版信息

Medicina (Kaunas). 2023 Nov 1;59(11):1938. doi: 10.3390/medicina59111938.

Abstract

The Baveno classification represents a new approach to the assessment of the severity of OSA (Obstructive sleep apnea), which takes significant comorbidities into account: atrial fibrillation, arterial hypertension, heart failure, stroke, diabetes mellitus, and OSA symptoms expressed through the Epworth sleepiness scale (ESS). The authors believe that the Baveno classification facilitates a better stratification of patients with OSA and can be a good guide for deciding on the therapeutic approach and clinical monitoring of patients with OSA, compared to the AHI (apnea-hypopnea index) itself. The aim of this paper is to confirm the advantage of applying the Baveno classification to the evaluation of symptoms of anxiety and depression in the OSA patients compared to the application of the AHI as a single parameter. This research represents an observational retrospective study that was performed at the Pulmonology Clinic of the University Clinical Center in Kragujevac, Serbia. The study sample included 104 patients with diagnosed OSA. Patients were divided into four categories retrogradely according to the Baveno classification (A, B, C, and D). Statistical data processing was performed using the IBM SPSS Statistics version 25.0 program. In our study, we proved that the Baveno classification is better at predicting the depressive disorder in OSA patients compared to the AHI itself, according to abnormal BDI-II (Beck Depression Inventory) score (value greater than ten) and HADS-D (Hospital anxiety and depression) scale (value greater than eight). The average AHI in the entire group of examined patients was 44.3 ± 19.8, while in category A the average AHI was 25.2 ± 10, in category B, 53.4 ± 20.6; in category C, 38.2 ± 18.5; and in category D, 48.1 ± 19.2. In the total sample, AHI did not correlate with the depressive episodes, but individually, the highest frequency of the depressive symptoms was precisely in the categories with the highest AHI (group D and B), where more than half of the subjects had an abnormal score. The frequency of the anxiety disorder (HADS-A) between the analyzed groups did not differ significantly, although the largest number of patients with significant anxiety were in category B, according to the Baveno classification. We proved that the Baveno classification is applicable in real life, and it is better at evaluating anxiety and depression using questionnaires and can identify new patients who need CPAP therapy, independently of other OSAS symptoms, primarily daytime sleepiness.

摘要

贝沃诺分类法代表了一种评估阻塞性睡眠呼吸暂停严重程度的新方法,它考虑了显著的合并症:心房颤动、动脉高血压、心力衰竭、中风、糖尿病和通过 Epworth 嗜睡量表(ESS)表达的阻塞性睡眠呼吸暂停症状。作者认为,与 AHI(呼吸暂停-低通气指数)本身相比,贝沃诺分类法有助于更好地对阻塞性睡眠呼吸暂停患者进行分层,并且可以为决定阻塞性睡眠呼吸暂停患者的治疗方法和临床监测提供良好的指导。本文的目的是确认在评估阻塞性睡眠呼吸暂停患者的焦虑和抑郁症状时,应用贝沃诺分类法优于应用 AHI 作为单一参数的优势。

这项研究是在塞尔维亚克拉古耶瓦茨大学临床中心的肺病学诊所进行的观察性回顾性研究。研究样本包括 104 名确诊为阻塞性睡眠呼吸暂停的患者。患者根据贝沃诺分类法(A、B、C 和 D) retrogradely 分为四组。使用 IBM SPSS Statistics 版本 25.0 程序进行统计数据处理。

在我们的研究中,我们证明与 AHI 本身相比,贝沃诺分类法在预测阻塞性睡眠呼吸暂停患者的抑郁障碍方面更好,根据异常 BDI-II(贝克抑郁量表)评分(大于 10)和 HADS-D(医院焦虑和抑郁量表)评分(大于 8)。在整个检查患者组中,平均 AHI 为 44.3 ± 19.8,而在 A 组中平均 AHI 为 25.2 ± 10,B 组为 53.4 ± 20.6,C 组为 38.2 ± 18.5,D 组为 48.1 ± 19.2。在整个样本中,AHI 与抑郁发作无关,但个别而言,抑郁症状的最高频率正是在 AHI 最高的类别(D 组和 B 组)中,其中一半以上的受试者存在异常评分。在分析的组之间,焦虑症(HADS-A)的频率没有显著差异,尽管根据贝沃诺分类法,B 组中存在显著焦虑的患者数量最多。

我们证明贝沃诺分类法在现实生活中是适用的,它使用问卷更好地评估焦虑和抑郁,并可以识别需要 CPAP 治疗的新患者,独立于其他 OSAS 症状,主要是白天嗜睡。

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