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      Postoperative delirium in critically ill surgical patients: incidence, risk factors, and predictive scores

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          Abstract

          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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          Most cited references30

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          Delirium in Hospitalized Older Adults

          A 75-year-old man is admitted for scheduled major abdominal surgery. He is functionally independent, with mild forgetfulness. His intraoperative course is uneventful, but on postoperative day 2, severe confusion and agitation develop. What is going on? How would you manage this patient’s care? Could his condition have been prevented?
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            Precipitating factors for delirium in hospitalized elderly persons. Predictive model and interrelationship with baseline vulnerability.

            To prospectively develop and validate a predictive model for delirium based on precipitating factors during hospitalization, and to examine the interrelationship of precipitating factors and baseline vulnerability. Two prospective cohort studies, in tandem. General medical wards, university teaching hospital. For the development cohort, 196 patients aged 70 years and older with no delirium at baseline, and for the validation cohort, 312 comparable patients. New-onset delirium by hospital day 9, defined by the Confusion Assessment Method diagnostic criteria. Delirium developed in 35 patients (18%) in the development cohort. Five independent precipitating factors for delirium were identified; use of physical restraints (adjusted relative risk [RR], 4.4; 95% confidence interval [CI], 2.5 to 7.9), malnutrition (RR, 4.0; 95% CI, 2.2 to 7.4), more than three medications added (RR, 2.9; 95% CI, 1.6 to 5.4), use of bladder catheter (RR, 2.4; 95% CI, 1.2 to 4.7), and any iatrogenic event (RR, 1.9; 95% CI, 1.1 to 3.2). Each precipitating factor preceded the onset of delirium by more than 24 hours. A risk stratification system was developed by adding 1 point for each factor present. Rates of delirium for low-risk (0 points), intermediate-risk (1 to 2 points), and high-risk groups (> or equal to 3 points) were 3%, 20%, and 59%, respectively (P < .001). The corresponding rates in the validation cohort, in which 47 patients (15%) developed delirium, were 4%, 20%, and 35%, respectively (P < .001). When precipitating and baseline factors were analyzed in cross-stratified format, delirium rates increased progressively from low-risk to high-risk groups in all directions (double-gradient phenomenon). The contributions of baseline and precipitating factors were documented to be independent and statistically significant. A simple predictive model based on the presence of five precipitating factors can be used to identify elderly medical patients at high risk for delirium. Precipitating and baseline vulnerability factors are highly interrelated and contribute to delirium in independent substantive, and cumulative ways.
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              Postoperative delirium in the elderly: risk factors and outcomes.

              The purpose of this study was to describe the natural history, identify risk factors, and determine outcomes for the development of postoperative delirium in the elderly. Postoperative delirium is a common and deleterious complication in geriatric patients. Subjects older than 50 years scheduled for an operation requiring a postoperative intensive care unit admission were recruited. After preoperative informed written consent, enrolled subjects had baseline cognitive and functional assessments. Postoperatively, subjects were assessed daily for delirium using the confusion assessment method-intensive care unit. Patients were also followed for outcomes. During the study period, 144 patients were enrolled before major abdominal (40%), thoracic (53%), or vascular (7%) operations. The overall incidence of delirium was 44% (64/144). The average time to onset of delirium was 2.1 +/- 0.9 days and the mean duration of delirium was 4.0 +/- 5.1 days. Several preoperative variables were associated with an increased risk of delirium including older age (P < 0.001), hypoalbuminemia (P < 0.001), impaired functional status (P < 0.001), pre-existing dementia (P < 0.001), and pre-existing comorbidities (P < 0.001). In a multivariable logistic regression model, pre-existing dementia remains the strongest risk factor for the development of postoperative delirium. Worse outcomes, including increased length of stay (P < 0.001), postdischarge institutionalization (P < 0.001), and 6 month mortality (P = 0.001), occurred in subjects who developed delirium. In the current study, delirium occurred in 44% of elderly patients after a major operation. Pre-existing cognitive dysfunction was the strongest predictor of the development of postoperative delirium. Outcomes, including an increased rate of 6 month mortality, were worse in patients who developed postoperative delirium.
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                Author and article information

                Contributors
                onuma.cha@mahidol.ac.th
                mellada.cha@gmail.com
                worapat.panc@gmail.com
                vichitmala@yahoo.com
                praniti.danp@gmail.com
                puriwat.555@gmail.com
                chayanan.tha@mahidol.ac.th
                Journal
                BMC Anesthesiol
                BMC Anesthesiol
                BMC Anesthesiology
                BioMed Central (London )
                1471-2253
                20 March 2019
                20 March 2019
                2019
                : 19
                : 39
                Affiliations
                [1 ]ISNI 0000 0004 1937 0490, GRID grid.10223.32, Department of Anesthesiology, Faculty of Medicine, Siriraj Hospital, , Mahidol University, ; Bangkok, 10700 Thailand
                [2 ]ISNI 0000 0004 1937 0490, GRID grid.10223.32, Division of Critical Care Medicine, Department of Medicine, Faculty of Medicine, Siriraj Hospital, , Mahidol University, ; Bangkok, Thailand
                [3 ]ISNI 0000 0004 1937 0490, GRID grid.10223.32, Integrated Perioperative Geriatric Excellent Research Center, Faculty of Medicine, Siriraj Hospital, , Mahidol University, ; Bangkok, Thailand
                Author information
                http://orcid.org/0000-0001-5407-306X
                Article
                694
                10.1186/s12871-019-0694-x
                6425578
                30894129
                9c04cc76-c3ae-48f7-8bab-508885f1b0e4
                © 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.

                History
                : 7 October 2018
                : 11 February 2019
                Funding
                Funded by: Siriraj Research Development Fund (managed by Routine to Research [R2R]), Siriraj Hospital, Thailand
                Award ID: R015935052
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Anesthesiology & Pain management
                postoperative delirium,surgery,intensive care unit (icu),risk factors

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