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Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium
AIM: Subsyndromal delirium is associated with prolonged intensive care unit stays, and prolonged mechanical ventilation requirements. The Prediction of Delirium for Intensive Care (PRE‐DELIRIC) model can predict delirium. This study was designed to verify if it can also predict development of subsyn...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328902/ https://www.ncbi.nlm.nih.gov/pubmed/30651998 http://dx.doi.org/10.1002/ams2.378 |
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author | Azuma, Kazunari Mishima, Shiro Shimoyama, Keiichiro Ishii, Yuri Ueda, Yasuhiro Sakurai, Masako Morinaga, Kentaro Fujikawa, Tsubasa Oda, Jun |
author_facet | Azuma, Kazunari Mishima, Shiro Shimoyama, Keiichiro Ishii, Yuri Ueda, Yasuhiro Sakurai, Masako Morinaga, Kentaro Fujikawa, Tsubasa Oda, Jun |
author_sort | Azuma, Kazunari |
collection | PubMed |
description | AIM: Subsyndromal delirium is associated with prolonged intensive care unit stays, and prolonged mechanical ventilation requirements. The Prediction of Delirium for Intensive Care (PRE‐DELIRIC) model can predict delirium. This study was designed to verify if it can also predict development of subsyndromal delirium. METHODS: We undertook a single‐center, retrospective observation study in Japan. We diagnosed subsyndromal delirium based on the Intensive Care Delirium Screening Checklist. We calculated the sensitivity and specificity of the PRE‐DELIRIC model and obtained a diagnostic cut‐off value. RESULTS: We evaluated data from 70 patients admitted to the mixed medical intensive care unit of the Tokyo Medical University Hospital (Tokyo, Japan) between May 2015 and February 2017. The prevalence of subsyndromal delirium by Intensive Care Delirium Screening Checklist was 31.4%. The area under the receiver operating characteristic curve was 0.83 of the PRE‐DELIRIC model for subsyndromal delirium. The calculated cut‐off value was 36 points with a sensitivity of 94.3% and specificity of 57.1%. Subsyndromal delirium was associated with a higher incidence of delirium (odds ratio, 8.81; P < 0.01). CONCLUSION: The PRE‐DELIRIC model could be a tool for predicting subsyndromal delirium using a cut‐off value of 36 points. |
format | Online Article Text |
id | pubmed-6328902 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-63289022019-01-16 Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium Azuma, Kazunari Mishima, Shiro Shimoyama, Keiichiro Ishii, Yuri Ueda, Yasuhiro Sakurai, Masako Morinaga, Kentaro Fujikawa, Tsubasa Oda, Jun Acute Med Surg Original Articles AIM: Subsyndromal delirium is associated with prolonged intensive care unit stays, and prolonged mechanical ventilation requirements. The Prediction of Delirium for Intensive Care (PRE‐DELIRIC) model can predict delirium. This study was designed to verify if it can also predict development of subsyndromal delirium. METHODS: We undertook a single‐center, retrospective observation study in Japan. We diagnosed subsyndromal delirium based on the Intensive Care Delirium Screening Checklist. We calculated the sensitivity and specificity of the PRE‐DELIRIC model and obtained a diagnostic cut‐off value. RESULTS: We evaluated data from 70 patients admitted to the mixed medical intensive care unit of the Tokyo Medical University Hospital (Tokyo, Japan) between May 2015 and February 2017. The prevalence of subsyndromal delirium by Intensive Care Delirium Screening Checklist was 31.4%. The area under the receiver operating characteristic curve was 0.83 of the PRE‐DELIRIC model for subsyndromal delirium. The calculated cut‐off value was 36 points with a sensitivity of 94.3% and specificity of 57.1%. Subsyndromal delirium was associated with a higher incidence of delirium (odds ratio, 8.81; P < 0.01). CONCLUSION: The PRE‐DELIRIC model could be a tool for predicting subsyndromal delirium using a cut‐off value of 36 points. John Wiley and Sons Inc. 2018-12-03 /pmc/articles/PMC6328902/ /pubmed/30651998 http://dx.doi.org/10.1002/ams2.378 Text en © 2018 The Authors. Acute Medicine & Surgery published by John Wiley & Sons Australia, Ltd on behalf of Japanese Association for Acute Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Azuma, Kazunari Mishima, Shiro Shimoyama, Keiichiro Ishii, Yuri Ueda, Yasuhiro Sakurai, Masako Morinaga, Kentaro Fujikawa, Tsubasa Oda, Jun Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium |
title | Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium |
title_full | Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium |
title_fullStr | Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium |
title_full_unstemmed | Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium |
title_short | Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium |
title_sort | validation of the prediction of delirium for intensive care model to predict subsyndromal delirium |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6328902/ https://www.ncbi.nlm.nih.gov/pubmed/30651998 http://dx.doi.org/10.1002/ams2.378 |
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