Cargando…
Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis
AIM: Delirium frequently develops in patients with sepsis during their intensive care unit (ICU) stay, which is associated with increased morbidity and mortality. A prediction model for delirium in patients in ICU, PRE‐DELIRIC, has been utilized in overall ICU patients, but its utility is uncertain...
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640736/ https://www.ncbi.nlm.nih.gov/pubmed/33173589 http://dx.doi.org/10.1002/ams2.589 |
_version_ | 1783605808181805056 |
---|---|
author | Miyamoto, Kyohei Nakashima, Tsuyoshi Shima, Nozomu Kato, Seiya Kawazoe, Yu Morimoto, Takeshi Ohta, Yoshinori Yamamura, Hitoshi |
author_facet | Miyamoto, Kyohei Nakashima, Tsuyoshi Shima, Nozomu Kato, Seiya Kawazoe, Yu Morimoto, Takeshi Ohta, Yoshinori Yamamura, Hitoshi |
author_sort | Miyamoto, Kyohei |
collection | PubMed |
description | AIM: Delirium frequently develops in patients with sepsis during their intensive care unit (ICU) stay, which is associated with increased morbidity and mortality. A prediction model for delirium in patients in ICU, PRE‐DELIRIC, has been utilized in overall ICU patients, but its utility is uncertain among patients with sepsis. This study aims to examine the utility of PRE‐DELIRIC to predict delirium in mechanically ventilated patients with sepsis. METHODS: This is a post hoc analysis of a randomized clinical trial in eight Japanese ICUs, which aimed to evaluate the sedative strategy with/without dexmedetomidine in adult mechanically ventilated patients with sepsis. The Confusion Assessment Method for the ICU was used every day to assess for delirium throughout their ICU stay. We excluded patients who were delirious on the first day of ICU, those who were under sustained coma throughout their ICU stay, and those who stayed in the ICU less than 24 h. The discriminative ability of PRE‐DELIRIC was evaluated by measuring the area under the receiver operating characteristic curve (AUROC). RESULTS: Of the 201 patients enrolled in the trial, we analyzed 158 patients. The mean age was 69.4 ± 14.0 years, and 99 patients (63%) were men. Delirium occurred at least once during the ICU stay of 63 patients (40%). The AUROC of PRE‐DELIRIC was 0.60 (95% confidence interval, 0.50–0.69). Subgroup analyses indicated that PRE‐DELIRIC was useful in those with Sequential Organ Failure Assessment score >8 with AUROC of 0.65 (95% confidence interval, 0.51–0.77). CONCLUSIONS: The PRE‐DELIRIC model could not predict delirium in mechanically ventilated patients with sepsis. |
format | Online Article Text |
id | pubmed-7640736 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-76407362020-11-09 Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis Miyamoto, Kyohei Nakashima, Tsuyoshi Shima, Nozomu Kato, Seiya Kawazoe, Yu Morimoto, Takeshi Ohta, Yoshinori Yamamura, Hitoshi Acute Med Surg Original Articles AIM: Delirium frequently develops in patients with sepsis during their intensive care unit (ICU) stay, which is associated with increased morbidity and mortality. A prediction model for delirium in patients in ICU, PRE‐DELIRIC, has been utilized in overall ICU patients, but its utility is uncertain among patients with sepsis. This study aims to examine the utility of PRE‐DELIRIC to predict delirium in mechanically ventilated patients with sepsis. METHODS: This is a post hoc analysis of a randomized clinical trial in eight Japanese ICUs, which aimed to evaluate the sedative strategy with/without dexmedetomidine in adult mechanically ventilated patients with sepsis. The Confusion Assessment Method for the ICU was used every day to assess for delirium throughout their ICU stay. We excluded patients who were delirious on the first day of ICU, those who were under sustained coma throughout their ICU stay, and those who stayed in the ICU less than 24 h. The discriminative ability of PRE‐DELIRIC was evaluated by measuring the area under the receiver operating characteristic curve (AUROC). RESULTS: Of the 201 patients enrolled in the trial, we analyzed 158 patients. The mean age was 69.4 ± 14.0 years, and 99 patients (63%) were men. Delirium occurred at least once during the ICU stay of 63 patients (40%). The AUROC of PRE‐DELIRIC was 0.60 (95% confidence interval, 0.50–0.69). Subgroup analyses indicated that PRE‐DELIRIC was useful in those with Sequential Organ Failure Assessment score >8 with AUROC of 0.65 (95% confidence interval, 0.51–0.77). CONCLUSIONS: The PRE‐DELIRIC model could not predict delirium in mechanically ventilated patients with sepsis. John Wiley and Sons Inc. 2020-11-04 /pmc/articles/PMC7640736/ /pubmed/33173589 http://dx.doi.org/10.1002/ams2.589 Text en © 2020 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 Miyamoto, Kyohei Nakashima, Tsuyoshi Shima, Nozomu Kato, Seiya Kawazoe, Yu Morimoto, Takeshi Ohta, Yoshinori Yamamura, Hitoshi Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis |
title | Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis |
title_full | Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis |
title_fullStr | Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis |
title_full_unstemmed | Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis |
title_short | Utility of a prediction model for delirium in intensive care unit patients (PRE‐DELIRIC) in mechanically ventilated patients with sepsis |
title_sort | utility of a prediction model for delirium in intensive care unit patients (pre‐deliric) in mechanically ventilated patients with sepsis |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7640736/ https://www.ncbi.nlm.nih.gov/pubmed/33173589 http://dx.doi.org/10.1002/ams2.589 |
work_keys_str_mv | AT miyamotokyohei utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT nakashimatsuyoshi utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT shimanozomu utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT katoseiya utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT kawazoeyu utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT morimototakeshi utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT ohtayoshinori utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT yamamurahitoshi utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis AT utilityofapredictionmodelfordeliriuminintensivecareunitpatientspredeliricinmechanicallyventilatedpatientswithsepsis |