| アイテムタイプ |
学術雑誌論文 / Journal Article(1) |
| 公開日 |
2024-06-19 |
| タイトル |
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タイトル |
Data-driven categorization of postoperative delirium symptoms using unsupervised machine learning |
| 言語 |
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言語 |
eng |
| キーワード |
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主題Scheme |
Other |
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主題 |
postoperative delirium |
| キーワード |
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主題Scheme |
Other |
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主題 |
hypothesis-free categorization |
| キーワード |
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主題Scheme |
Other |
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主題 |
K-means clustering |
| キーワード |
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主題Scheme |
Other |
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主題 |
delirium rating scale-revised-98 |
| キーワード |
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主題Scheme |
Other |
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主題 |
phenotype |
| キーワード |
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主題Scheme |
Other |
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主題 |
cancer surgery |
| 資源タイプ |
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資源タイプ |
journal article |
| アクセス権 |
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アクセス権 |
open access |
| 著者 |
Sri-iesaranusorn, Panyawut
Sadahiro, Ryoichi
Murakami, Syo
Wada, Saho
Shimizu, Ken
Yoshida, Teruhiko
Aoki, Kazunori
Uezono, Yasuhito
Matsuoka, Hiromichi
池田, 和司
吉本, 潤一郎
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| 抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
Background: Phenotyping analysis that includes time course is useful for understanding the mechanisms and clinical management of postoperative delirium. However, postoperative delirium has not been fully phenotyped. Hypothesis-free categorization of heterogeneous symptoms may be useful for understanding the mechanisms underlying delirium, although evidence is currently lacking. Therefore, we aimed to explore the phenotypes of postoperative delirium following invasive cancer surgery using a data-driven approach with minimal prior knowledge.
Methods: We recruited patients who underwent elective invasive cancer resection. After surgery, participants completed 5 consecutive days of delirium assessments using the Delirium Rating Scale-Revised-98 (DRS-R-98) severity scale. We categorized 65 (13 questionnaire items/day$2009×$20095$2009days) dimensional DRS-R-98 scores using unsupervised machine learning (K-means clustering) to derive a small set of grouped features representing distinct symptoms across all participants. We then reapplied K-means clustering to this set of grouped features to delineate multiple clusters of delirium symptoms.
Results: Participants were 286 patients, of whom 91 developed delirium defined according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria. Following the first K-means clustering, we derived four grouped symptom features: (1) mixed motor, (2) cognitive and higher-order thinking domain with perceptual disturbance and thought content abnormalities, (3) acute and temporal response, and (4) sleep$2013wake cycle disturbance. Subsequent K-means clustering permitted classification of participants into seven subgroups: (i) cognitive and higher-order thinking domain dominant delirium, (ii) prolonged delirium, (iii) acute and brief delirium, (iv) subsyndromal delirium-enriched, (v) subsyndromal delirium-enriched with insomnia, (vi) insomnia, and (vii) fit.
Conclusion: We found that patients who have undergone invasive cancer resection can be delineated using unsupervised machine learning into three delirium clusters, two subsyndromal delirium clusters, and an insomnia cluster. Validation of clusters and research into the pathophysiology underlying each cluster will help to elucidate the mechanisms of postoperative delirium after invasive cancer surgery. |
| 書誌情報 |
en : Frontiers in Psychiatry
巻 14,
発行日 2023-06-27
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| 出版者 |
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出版者 |
Frontiers Media |
| ISSN |
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収録物識別子タイプ |
EISSN |
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収録物識別子 |
1664-0640 |
| 出版者版DOI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
DOI |
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関連識別子 |
https://doi.org/10.3389/fpsyt.2023.1205605 |
| 出版者版URI |
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関連タイプ |
isReplacedBy |
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識別子タイプ |
URI |
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関連識別子 |
https://www.frontiersin.org/journals/psychiatry/articles/10.3389/fpsyt.2023.1205605/full |
| 権利 |
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権利情報Resource |
http://creativecommons.org/licenses/by/4.0/ |
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権利情報 |
$00A9 2023 Sri-iesaranusorn, Sadahiro, Murakami, Wada, Shimizu, Yoshida, Aoki, Uezono, Matsuoka, Ikeda and Yoshimoto. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
| 著者版フラグ |
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出版タイプ |
NA |
