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大学・研究所にある論文を検索できる 「Analysis of nocturnal desaturation waveforms using algorithms in patients with idiopathic pulmonary fibrosis」の論文概要。リケラボ論文検索は、全国の大学リポジトリにある学位論文・教授論文を一括検索できる論文検索サービスです。
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Analysis of nocturnal desaturation waveforms using algorithms in patients with idiopathic pulmonary fibrosis

Yasuda, Yuichiro Nagano, Tatsuya Izumi, Shintaro Yasuda, Mina Tsuruno, Kosuke Tobino, Kazunori Nakata, Kyosuke Okamura, Kayoko Nishiuma, Teruaki Takatsuki, Kiyonobu Funada, Yasuhiro Ohnishi, Hisashi Yamamoto, Masatsugu Nishimura, Yoshihiro Kobayashi, Kazuyuki 神戸大学

2022.09.01

概要

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 (SpO2) 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 SpO2 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 SpO2 during sleep and total sleep time spent with SpO2 < 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.

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参考文献

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