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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...

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Autores principales: Chaiwat, Onuma, Chanidnuan, Mellada, Pancharoen, Worapat, Vijitmala, Kittiya, Danpornprasert, Praniti, Toadithep, Puriwat, Thanakiattiwibun, Chayanan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
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.
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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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