WEKO3
アイテム
Diagnostic reliability of headset-type continuous video EEG monitoring for detection of ICU patterns and NCSE in patients with altered mental status with unknown etiology
https://kagawa-u.repo.nii.ac.jp/records/11720
https://kagawa-u.repo.nii.ac.jp/records/11720fe325676-49af-48fa-bedc-06fe15d953b6
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
本文 (462.5 kB)
|
|
|
|
内容の要旨 (84.3 kB)
|
|
|
|
審査の結果の要旨 (94.7 kB)
|
|
| Item type | 学位論文 / Thesis or Dissertation(1) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 公開日 | 2023-04-24 | |||||||||||
| タイトル | ||||||||||||
| タイトル | Diagnostic reliability of headset-type continuous video EEG monitoring for detection of ICU patterns and NCSE in patients with altered mental status with unknown etiology | |||||||||||
| 言語 | en | |||||||||||
| 言語 | ||||||||||||
| 言語 | eng | |||||||||||
| 資源タイプ | ||||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_db06 | |||||||||||
| 資源タイプ | doctoral thesis | |||||||||||
| その他（別言語等）のタイトル | ||||||||||||
| その他のタイトル | 原因不明の意識障害患者おけるICU特有の脳波所見とNCSEの検出に対する、ヘッドセットタイプビデオ付き脳波モニタリングの有用性の検討 | |||||||||||
| 言語 | ja | |||||||||||
| アクセス権 | ||||||||||||
| アクセス権 | open access | |||||||||||
| アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||||||||
| 著者 |
江川, 悟史
× 江川, 悟史
|
|||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Background/objective: Simplified continuous electroencephalogram (cEEG) monitoring has shown improvement in detecting seizures; however, it is insufficient in detecting abnormal EEG patterns, such as periodic discharges (PDs), rhythmic delta activity (RDA), spikes and waves (SW), and continuous slow wave (CS), as well as nonconvulsive status epilepticus (NCSE). Headset-type continuous video EEG monitoring (HS-cv EEG monitoring; AE-120A EEG Headset™, Nihon Kohden, Tokyo, Japan) is a recently developed easy-to-use technology with eight channels. However, its ability to detect abnormal EEG patterns with raw EEG data has not been comprehensively evaluated. We aimed to examine the diagnostic accuracy of HS-cv EEG monitoring in detecting abnormal EEG patterns and NCSE in patients with altered mental status (AMS) with unknown etiology. We also evaluated the time required to initiate HS-cv EEG monitoring in these patients. | |||||||||||
| 言語 | en | |||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Methods: We prospectively observed and retrospectively examined patients who were admitted with AMS between January and December 2017 at the neurointensive care unit at Asakadai Central General Hospital, Saitama, Japan. We excluded patients whose data were missing for various reasons, such as difficulties in recording, and those whose consciousness had recovered between HS-cv EEG and conventional cEEG (C-cEEG) monitoring. For the included patients, we performed HS-cv EEG monitoring followed by C-cEEG monitoring. Definitive diagnosis was confirmed by C-cEEG monitoring with the international 10-20 system. As the primary outcome, we verified the sensitivity and specificity of HS-cv EEG monitoring in detecting abnormal EEG patterns including PDs, RDA, SW, and CS, in detecting the presence of PDs, and in detecting NCSE. As the secondary outcome, we calculated the time to initiate HS-cv EEG monitoring after making the decision. | |||||||||||
| 言語 | en | |||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Results: Fifty patients (76.9%) were included in the final analyses. The median age was 72 years, and 66% of the patients were male. The sensitivity and specificity of HS-cv EEG monitoring for detecting abnormal EEG patterns were 0.974 (0.865-0.999) and 0.909 (0.587-0.998), respectively, and for detecting PDs were 0.824 (0.566-0.926) and 0.970 (0.842-0.999), respectively. We diagnosed 13 (26%) patients with NCSE using HS-cv EEG monitoring and could detect NCSE with a sensitivity and specificity of 0.706 (0.440-0.897) and 0.970 (0.842-0.999), respectively. The median time needed to initiate HS-cv EEG was 57 min (5-142). | |||||||||||
| 言語 | en | |||||||||||
| 抄録 | ||||||||||||
| 内容記述タイプ | Abstract | |||||||||||
| 内容記述 | Conclusions: HS-cv EEG monitoring is highly reliable in detecting abnormal EEG patterns, with moderate reliability for PDs and NCSE, and rapidly initiates cEEG monitoring in patients with AMS with unknown etiology. | |||||||||||
| 言語 | en | |||||||||||
| 学位名 | ||||||||||||
| 言語 | ja | |||||||||||
| 学位名 | 博士（医学） | |||||||||||
| 学位授与機関 | ||||||||||||
| 識別子Scheme | kakenhi | |||||||||||
| 識別子 | 16201 | |||||||||||
| 言語 | ja | |||||||||||
| 機関名 | 香川大学 | |||||||||||
| 言語 | en | |||||||||||
| 機関名 | Kagawa University | |||||||||||
| 学位授与年月日 | ||||||||||||
| 学位授与年月日 | 2023-03-24 | |||||||||||
| 学位授与番号 | ||||||||||||
| 学位授与番号 | 甲第823号 | |||||||||||
| 権利 | ||||||||||||
| 言語 | en | |||||||||||
| 権利情報 | © 2023 Springer Nature Switzerland AG. Part of Springer Nature. | |||||||||||
| PubMed番号 | ||||||||||||
| 識別子タイプ | PMID | |||||||||||
| 関連識別子 | 31617115 | |||||||||||
| 関連サイト | ||||||||||||
| 関連タイプ | isVersionOf | |||||||||||
| 識別子タイプ | DOI | |||||||||||
| 関連識別子 | https://doi.org/10.1007/s12028-019-00863-9 | |||||||||||
| 著者版フラグ | ||||||||||||
| 出版タイプ | P | |||||||||||
| 出版タイプResource | http://purl.org/coar/version/c_fa2ee174bc00049f | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Electroencephalography | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Continuous electroencephalogram | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Headset-type continuous video electroencephalography | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Periodic discharges | |||||||||||
| キーワード | ||||||||||||
| 言語 | en | |||||||||||
| 主題Scheme | Other | |||||||||||
| 主題 | Nonconvulsive status epilepticus | |||||||||||
