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使用算法分析特发性肺纤维化患者的夜间低血氧波形。

Analysis of nocturnal desaturation waveforms using algorithms in patients with idiopathic pulmonary fibrosis.

机构信息

Department of Internal Medicine, Division of Respiratory Medicine, Kobe University Graduate School of Medicine, 7-5-1 Kusunoki-cho, Chuo-ku, Kobe, Hyogo, 650-0017, Japan.

Graduate School of System Informatics, Kobe University, 1-1-Rokkodai-cho, Nada-ku, Kobe, Hyogo, 657-8501, Japan.

出版信息

Sleep Breath. 2022 Sep;26(3):1079-1086. doi: 10.1007/s11325-021-02456-3. Epub 2021 Aug 21.

Abstract

PURPOSE

Sleep-disordered breathing is recognized as a comorbidity in patients with idiopathic pulmonary fibrosis (IPF). Among them, nocturnal hypoxemia has been reported to be associated with poor prognosis and disease progression. We developed a diagnostic algorithm to classify nocturnal desaturation from percutaneous oxygen saturation (SpO) waveform patterns: sustained pattern, periodic pattern, and intermittent pattern. We then investigated the prevalence of nocturnal desaturation and the association between the waveform patterns of nocturnal desaturation and clinical findings of patients with IPF.

METHODS

We prospectively enrolled patients with IPF from seven general hospitals between April 2017 and March 2020 and measured nocturnal SpO and nasal airflow by using a home sleep apnea test. An algorithm was used to classify the types of nocturnal desaturation. We evaluated the association between sleep or clinical parameters and each waveform pattern of nocturnal desaturation.

RESULTS

Among 60 patients (47 men) who met the eligibility criteria, there were 3 cases with the sustained pattern, 49 cases with the periodic pattern, and 41 cases with the intermittent pattern. Lowest SpO during sleep and total sleep time spent with SpO < 90% were associated with the sustained pattern, and apnea-hypopnea index was associated with the intermittent pattern.

CONCLUSION

We demonstrated the prevalence of each waveform and association between each waveform and sleep parameters in patients with IPF. This classification algorithm may be useful to predict the degree of hypoxemia or the complication of obstructive sleep apnea.

摘要

目的

睡眠呼吸障碍被认为是特发性肺纤维化(IPF)患者的一种合并症。其中,夜间低氧血症与预后不良和疾病进展有关。我们开发了一种诊断算法,根据经皮血氧饱和度(SpO )波形模式将夜间低氧血症分类:持续模式、周期性模式和间歇性模式。然后,我们研究了夜间低氧血症的发生率以及夜间低氧血症的波形模式与 IPF 患者临床特征之间的关系。

方法

我们前瞻性地招募了 2017 年 4 月至 2020 年 3 月期间来自七家综合医院的 60 名 IPF 患者,并使用家庭睡眠呼吸暂停测试测量夜间 SpO 和鼻气流。使用算法对夜间低氧血症的类型进行分类。我们评估了睡眠或临床参数与夜间低氧血症的每种波形模式之间的关系。

结果

在符合入选标准的 60 名患者(47 名男性)中,有 3 例为持续模式,49 例为周期性模式,41 例为间歇性模式。睡眠期间最低 SpO 和 SpO<90%的总睡眠时间与持续模式相关,而呼吸暂停低通气指数与间歇性模式相关。

结论

我们展示了 IPF 患者每种波形的发生率以及每种波形与睡眠参数之间的关系。这种分类算法可能有助于预测低氧血症的程度或阻塞性睡眠呼吸暂停的并发症。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/34ec/9418279/6a07950725dd/11325_2021_2456_Fig1_HTML.jpg

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