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Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores
BACKGROUND: A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes. OBJECTIVES: To identif...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425578/ https://www.ncbi.nlm.nih.gov/pubmed/30894129 http://dx.doi.org/10.1186/s12871-019-0694-x |
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author | Chaiwat, Onuma Chanidnuan, Mellada Pancharoen, Worapat Vijitmala, Kittiya Danpornprasert, Praniti Toadithep, Puriwat Thanakiattiwibun, Chayanan |
author_facet | Chaiwat, Onuma Chanidnuan, Mellada Pancharoen, Worapat Vijitmala, Kittiya Danpornprasert, Praniti Toadithep, Puriwat Thanakiattiwibun, Chayanan |
author_sort | Chaiwat, Onuma |
collection | PubMed |
description | BACKGROUND: A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes. OBJECTIVES: To identify the incidence of, and the risk factors for, postoperative delirium (POD) in surgical intensive care unit (SICU) patients, and to determine predictive scores for the development of POD. METHODS: This study enrolled adults aged over 18 years who had undergone an operation within the preceding week and who had been admitted to a SICU for a period that was expected to be longer than 24 h. The CAM − ICU score was used to determine the occurrence of delirium. RESULTS: Of the 250 patients enrolled, delirium was found in 61 (24.4%). The independent risk factors for delirium that were identified by a multivariate analysis comprised age, diabetes mellitus, severity of disease (SOFA score), perioperative use of benzodiazepine, and mechanical ventilation. A predictive score (age + (5 × SOFA) + (15 × Benzodiazepine use) + (20 × DM) + (20 × mechanical ventilation) + (20 × modified IQCODE > 3.42)) was created. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 (95% CI: 0.786 to 0.897). The cut point of 125 demonstrated a sensitivity of 72.13% and a specificity of 80.95%, and the hospital mortality rate was significantly greater among the delirious than the non-delirious patients (25% vs. 6%, p < 0.01). CONCLUSIONS: POD was experienced postoperatively by a quarter of the surgical patients who were critically ill. A risk score utilizing 6 variables was able to predict which patients would develop POD. The identification of high-risk patients following SICU admission can provide a basis for intervention strategies to improve outcomes. TRIAL REGISTRATION: Thai Clinical Trials Registry TCTR20181204006. Date registered on December 4, 2018. Retrospectively registered. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12871-019-0694-x) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6425578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-64255782019-03-29 Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores Chaiwat, Onuma Chanidnuan, Mellada Pancharoen, Worapat Vijitmala, Kittiya Danpornprasert, Praniti Toadithep, Puriwat Thanakiattiwibun, Chayanan BMC Anesthesiol Research Article BACKGROUND: A common postoperative complication found among patients who are critically ill is delirium, which has a high mortality rate. A predictive model is needed to identify high-risk patients in order to apply strategies which will prevent and/or reduce adverse outcomes. OBJECTIVES: To identify the incidence of, and the risk factors for, postoperative delirium (POD) in surgical intensive care unit (SICU) patients, and to determine predictive scores for the development of POD. METHODS: This study enrolled adults aged over 18 years who had undergone an operation within the preceding week and who had been admitted to a SICU for a period that was expected to be longer than 24 h. The CAM − ICU score was used to determine the occurrence of delirium. RESULTS: Of the 250 patients enrolled, delirium was found in 61 (24.4%). The independent risk factors for delirium that were identified by a multivariate analysis comprised age, diabetes mellitus, severity of disease (SOFA score), perioperative use of benzodiazepine, and mechanical ventilation. A predictive score (age + (5 × SOFA) + (15 × Benzodiazepine use) + (20 × DM) + (20 × mechanical ventilation) + (20 × modified IQCODE > 3.42)) was created. The area under the receiver operating characteristic (ROC) curve (AUC) was 0.84 (95% CI: 0.786 to 0.897). The cut point of 125 demonstrated a sensitivity of 72.13% and a specificity of 80.95%, and the hospital mortality rate was significantly greater among the delirious than the non-delirious patients (25% vs. 6%, p < 0.01). CONCLUSIONS: POD was experienced postoperatively by a quarter of the surgical patients who were critically ill. A risk score utilizing 6 variables was able to predict which patients would develop POD. The identification of high-risk patients following SICU admission can provide a basis for intervention strategies to improve outcomes. TRIAL REGISTRATION: Thai Clinical Trials Registry TCTR20181204006. Date registered on December 4, 2018. Retrospectively registered. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12871-019-0694-x) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-20 /pmc/articles/PMC6425578/ /pubmed/30894129 http://dx.doi.org/10.1186/s12871-019-0694-x Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Chaiwat, Onuma Chanidnuan, Mellada Pancharoen, Worapat Vijitmala, Kittiya Danpornprasert, Praniti Toadithep, Puriwat Thanakiattiwibun, Chayanan Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores |
title | Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores |
title_full | Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores |
title_fullStr | Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores |
title_full_unstemmed | Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores |
title_short | Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores |
title_sort | postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6425578/ https://www.ncbi.nlm.nih.gov/pubmed/30894129 http://dx.doi.org/10.1186/s12871-019-0694-x |
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