Confusion Assessment Method For Intensive Care Unit Research Articles

Evaluation of Dexmedetomidine Withdrawal and Management After Prolonged Infusion

Dexmedetomidine is often used for longer than its labeled indication of 24 hours, raising concerns for potential withdrawal. Data are limited regarding this syndrome in adult patients. This study aimed to further characterize dexmedetomidine withdrawal in critically ill adult patients after prolonged use. This was an institutional review board-approved, single-center, retrospective chart review conducted at a tertiary academic medical center. Adult intensive care unit (ICU) patients on dexmedetomidine for ≥72 hours in 2019 were screened for inclusion. Exclusion criteria were interruption of dexmedetomidine for >6 hours, indications for dexmedetomidine other than sedation, or patients with neurological or burn injury. The major end point was the incidence of dexmedetomidine withdrawal, defined as meeting ≥2 of the following criteria within 24 hours of discontinuation: newly positive Confusion Assessment Method for ICU, Richmond Agitation Sedation Scale score of ≥+2, hypertension, and tachycardia. Minor end points were incidence of individual withdrawal signs as previously described, additional sedatives or antipsychotics required, dose and duration of dexmedetomidine infusion, length of ventilation, ICU and hospital length of stay, and new onset of the following: fever, vomiting, loose stools/diarrhea, diaphoresis, or seizure. Of the 152 patients included, dexmedetomidine withdrawal occurred in 54 patients (35.5%). Rebound hypertension was the most common withdrawal sign (47 patients [87.0%]). In the withdrawal group, significantly more patients required additional β-blockers (29 [53.7%] vs 10 [10.2%]; P < 0.01), were reinitiated on dexmedetomidine (16 [29.6%] vs 10 [10.2%]; P < 0.01), and required a start or increased dose of clonidine (6 [11.1%] vs 3 [3.1%]; P = 0.04). There was no significant difference in the cumulative dose or duration of dexmedetomidine between the groups. Length of ventilation was longer in the withdrawal group (171 hours [83.7-280.8 hours] vs 159 hours [149.0-335.7 hours]; P < 0.01), but there was no difference in ICU or hospital length of stay. Prolonged use of dexmedetomidine was associated with withdrawal syndrome in 35.5% of patients in our study. Larger trials are needed to confirm the risk factors for dexmedetomidine withdrawal and identify measures to prevent withdrawal.

Reliability and Validity of Hindi Version of the Confusion Assessment Method for Intensive Care Unit (CAM-ICU) for Diagnosis of Delirium: A Cohort Study.

The confusion assessment method for the intensive care unit (CAM-ICU) is a bedside tool to diagnose delirium in critically ill patients. This study aims to determine the reliability and validity of the Hindi version of CAM-ICU against the Diagnostic and Statistical Manual (DSM), fourth edition text revision (DSM-IV-TR), and DSM, fifth edition (DSM-5) criteria for diagnosis of delirium. Seventy-five Hindi-speaking consenting patients ≥18-year-old with Richmond Agitation Sedation Scale ≥-3 and an anticipated ICU stay > 48 hours were included. Patients with known severe mental illnesses, visual/hearing loss, neurological injury, burns, drug overdose, and Glasgow Coma Scale <9 at the time of screening were excluded. After 48 hours of ICU stay and ensuring at least 2 hours of sedative interruption, within a 4-hour period, two examiners independently assessed delirium using the Hindi version of the scale and an experienced psychiatrist assessed the patients independently and applied the DSM-IV-TR and DSM-5 criteria for diagnosing delirium. Time taken for CAM-ICU assessment, inter-observer reliability, sensitivity, specificity, and positive and negative predictive values were calculated. The Cohen's κ value was 0.944 (p < 0.001). The Cronbach's α for observer 1 and observer 2 was 0.961 and 0.968, respectively. The sensitivity and negative predictive value of the tool was 100% with both DSM-IV-TR and DSM-5. The specificity was 90.2% and 92% and the positive predictive value was 82.8 and 86.2% with DSM-IV-TR and DSM-5, respectively. The Hindi version of CAM-ICU is a reliable and valid tool for the diagnosis of delirium in an ICU setting. The study was registered with the Clinical Trials Registry, India (CTRI) as per the research guidelines laid down by the Indian Council of Medical Research before enrolling the participants. (CTRI number- CTRI/2021/01/030471). The registration date was 14th January 2021. URL of registry is http://ctri.nic.in. Delirium in the ICU is often undiagnosed due to unfamiliarity, lack of understanding of symptoms, non-availability of psychiatric consultation, and validated diagnostic tools in the native language of the patient. This study aims to find the reliability and validity of the Hindi version of CAM-ICU. Salhotra R, Bose A, Srivastava S, Mohta M, Pandarinathan K, Rautela RS. Reliability and Validity of Hindi Version of the Confusion Assessment Method for Intensive Care Unit (CAM-ICU) for Diagnosis of Delirium: A Cohort Study. Indian J Crit Care Med 2024;28(10):958-962.

Risk Factors for Postoperative Delirium Severity After Deep Brain Stimulation Surgery in Parkinson's Disease.

Postoperative delirium (POD) is a serious complication following deep brain stimulation (DBS) but only received little attention. Its main risk factors are higher age and preoperative cognitive deficits. These are also main risk factors for long-term cognitive decline after DBS in Parkinson's disease (PD). To identify risk factors for POD severity after DBS surgery in PD. 57 patients underwent DBS (21 female; age 60.2±8.2; disease duration 10.5±5.9 years). Preoperatively, general, PD- and surgery-specific predictors were recorded. Montreal Cognitive Assessment and the neuropsychological test battery CANTAB ConnectTM were used to test domain-specific cognition. Volumes of the cholinergic basal forebrain were calculated with voxel-based morphometry. POD severity was recorded with the delirium scales Confusion Assessment Method for Intensive Care Unit (CAM-ICU) and Nursing Delirium Scale (NU-DESC). Spearman correlations were calculated for univariate analysis of predictors and POD severity and linear regression with elastic net regularization and leave-one-out cross-validation was performed to fit a multivariable model. 21 patients (36.8%) showed mainly mild courses of POD following DBS. Correlation between predicted and true POD severity was significant (spearman rho = 0.365, p = 0.001). Influential predictors were age (p < 0.001), deficits in attention and motor speed (p = 0.002), visual learning (p = 0.036) as well as working memory (p < 0.001), Nucleus basalis of Meynert volumes (p = 0.003) and burst suppression (p = 0.005). General but also PD- and surgery-specific factors were predictive of POD severity. These findings underline the multifaceted etiology of POD after DBS in PD. Valid predictive models must therefore consider general, PD- and surgery-specific factors.

Incidence of post-operative delirium increases as severity of frailty increases.

The surgical population is ageing and often frail. Frailty increases the risk for poor post-operative outcomes such as delirium, which carries significant morbidity, mortality and cost. Frailty is often measured in a binary manner, limiting pre-operative counselling. The goal of this study was to determine the relationship between categorical frailty severity level and post-operative delirium. We performed an analysis of a retrospective cohort of older adults from 12 January 2018 to 3 January 2020 admitted to a tertiary medical center for elective surgery. All participants underwent frailty screening prior to inpatient elective surgery with at least two post-operative delirium assessments. Planned ICU admissions were excluded. Procedures were risk-stratified by the Operative Stress Score (OSS). Categorical frailty severity level (Not Frail, Mild, Moderate, and Severe Frailty) was measured using the Edmonton Frail Scale. Delirium was determined using the 4 A's Test and Confusion Assessment Method-Intensive Care Unit. In sum, 324 patients were included. The overall post-operative delirium incidence was 4.6% (15 individuals), which increased significantly as the categorical frailty severity level increased (2% not frail, 6% mild frailty, 23% moderate frailty; P < 0.001) corresponding to increasing odds of delirium (OR 2.57 [0.62, 10.66] mild vs. not frail; OR 12.10 [3.57, 40.99] moderate vs. not frail). Incidence of post-operative delirium increases as categorical frailty severity level increases. This suggests that frailty severity should be considered when counselling older adults about their risk for post-operative delirium prior to surgery.

Effect of obstructive sleep apnea on postoperative delirium: a system review and meta-analysis.

To investigate the impact of obstructive sleep apnea (OSA) on postoperative delirium (PD), and evaluate the effectiveness of positive airway pressure (PAP) therapy on PD among OSA patients. We systematically searched Embase, Cochrane Library and PubMed databases from their establishment to November 27, 2022. A random-effects approach was employed to determine aggregated results. Subgroup and sensitivity analyses were carried out to investigate heterogeneity. Sixteen eligible studies were included in the analysis. Thirteen studies revealed that OSA significantly elevated the likelihood of developing PD (OR = 1.71; 95%CI = 1.17 to 2.49; p = 0.005). Subgroup analysis according to delirium assessment scales showed that OSA did not exhibit an association with the incidence of PD assessed by the Confusion Assessment Method-Intensive Care Unit (OR = 1.14; 95%CI = 0.77 to 1.67; p = 0.51) but enhanced the likelihood of developing PD evaluated with other measurement scales (OR = 2.15; 95%CI = 1.44 to 3.19; p = 0.0002). Three additional studies explored the impact of PAP treatment on PD among OSA individuals, indicating no significant reduction in PD incidence with PAP use (OR = 0.58; 95%CI = 0.13 to 2.47; p = 0.46). OSA may not be a risk factor for PD in critically ill patients in the intensive care unit, but may increase the likelihood of developing PD among individuals receiving regular care in the ward postoperatively. The efficacy of PAP therapy in decreasing PD incidence among OSA patients remains debatable.

Metformin Use in Type 2 Diabetics and Delirium After Noncardiac Surgery: A Retrospective Cohort Analysis.

The cause of postoperative delirium is unknown, but it is thought to result at least in part from inflammation. Metformin, besides its hypoglycemic properties, demonstrates anti-inflammatory effects systemically and in the brain. We tested the primary hypothesis that chronic metformin use in adults with type 2 diabetes is associated with less delirium during the first 5 days after major noncardiac surgery. Secondary outcomes were a composite of serious complications (myocardial infarction, cardiac arrest, stage 2-3 acute kidney injury [AKI], and mortality) and time to discharge alive. We considered adults with type 2 diabetes who did or did not routinely use metformin daily and had noncardiac surgery. Delirium was assessed by Confusion Assessment Method for Intensive Care Unit (CAM-ICU) or brief Confusion Assessment Method (bCAM) for 5 postoperative days. Postoperative AKI was defined by Kidney Disease Improving Global Guidelines. Logistic regression and generalized estimating equation models accounted for within-patient correlation across multiple surgeries and explored the association between metformin use and postoperative delirium and complications. Inverse propensity score weighting and propensity score calibration (PSC) adjusted for confounding variables. No significant difference was observed in the incidence of postoperative delirium between the 2 groups, with 260 of 4744 cases (5.5%) among metformin users and 502 of 5918 cases (8.5%) cases in nonmetformin users, for an odds ratio of 0.88 (95% confidence interval [CI], 0.73-1.05; P = .155), number-needed-to-expose = 118 patients. Similarly, there were fewer composite complications in metformin users (3.3%) than in nonusers (11.7%); However, the common-effect odds ratio of 0.67 was not statistically significant (97.5% CI, 0.39-1.17; P = .106). Discharge from the hospital was significantly faster in patients who took metformin (3 [interquartile range, IQR, 1-5] days for metformin users and 3 [IQR, 2-6] days for nonmetformin users), with a hazard ratio of 1.07 for early discharge, and tight CIs (1.01-1.13). Chronic metformin use was associated with slightly and nonsignificantly less delirium. However, patients who used metformin had clinically meaningfully fewer major complications, mostly stage 2 to 3 kidney injury. While not statistically significant, the reduction was substantial and warrants further investigation because there is currently no effective preventive measure for perioperative renal injury. Benefit would be especially meaningful if it could be produced by acute perioperative treatment. Finally, metformin was associated with faster hospital discharge, although not by a clinically meaningful amount.

Systemic inflammation and delirium during critical illness.

The purpose of this study was to determine associations between markers of inflammation and endogenous anticoagulant activity with delirium and coma during critical illness. In this prospective cohort study, we enrolled adults with respiratory failure and/or shock treated in medical or surgical intensive care units (ICUs) at 5 centers. Twice per day in the ICU, and daily thereafter, we assessed mental status using the Richmond Agitation Sedation Scale (RASS) and the Confusion Assessment Method-Intensive Care Unit (CAM-ICU). We collected blood samples on study days 1, 3, and 5, measuring levels of C-reactive protein (CRP), interferon gamma (IFN-γ), interleukin (IL)-1 beta (IL-1β), IL-6, IL-8, IL-10, IL-12, matrix metalloproteinase-9 (MMP-9), tumor necrosis factor-alpha (TNF-α), tumor necrosis factor receptor 1 (TNFR1), and protein C using validated protocols. We used multinomial logistic regression to analyze associations between biomarkers and the odds of delirium or coma versus normal mental status the following day, adjusting for age, sepsis, Sequential Organ Failure Assessment (SOFA), study day, corticosteroids, and sedatives. Among 991 participants with a median age (interquartile range, IQR) of 62 [53-72] years and enrollment SOFA of 9 [7-11], higher concentrations of IL-6 (odds ratio [OR] [95% CI]: 1.8 [1.4-2.3]), IL-8 (1.3 [1.1-1.5]), IL-10 (1.5 [1.2-1.8]), TNF-α (1.2 [1.0-1.4]), and TNFR1 (1.3 [1.1-1.6]) and lower concentrations of protein C (0.7 [0.6-0.8])) were associated with delirium the following day. Higher concentrations of CRP (1.4 [1.1-1.7]), IFN-γ (1.3 [1.1-1.5]), IL-6 (2.3 [1.8-3.0]), IL-8 (1.8 [1.4-2.3]), and IL-10 (1.5 [1.2-2.0]) and lower concentrations of protein C (0.6 [0.5-0.8]) were associated with coma the following day. IL-1β, IL-12, and MMP-9 were not associated with mental status. Markers of inflammation and possibly endogenous anticoagulant activity are associated with delirium and coma during critical illness.

The impact of delirium on clinical and functional outcomes in hospitalized patients with acute coronary syndrome.

Delirium, which is prevalent in critical care settings, remains underexplored in acute coronary syndrome (ACS) patients in the cardiac intensive care unit (CICU). To investigate the prevalence and clinical significance of delirium in patients with ACS admitted to the CICU. A prospective study (n = 106, mean age 74.2 ± 5.7 years) assessed delirium using the confusion assessment method-intensive care unit (CAM-ICU) tool in 21.7% of ACS patients during their CICU stay. Baseline characteristics, geriatric conditions and clinical procedures were compared between delirious and nondelirious patients. The outcomes included in-hospital mortality, 30-day and 6-month mortality, acute adverse events and length of CICU stay and hospital stay (LOS). Delirious patients who were older and had a higher incidence of coronary artery disease underwent more complex procedures (e.g., pacemaker placement). Multivariate analysis identified central venous catheter insertion, urinary catheterization and benzodiazepine use as independent predictors of delirium. Delirium was correlated with prolonged LOS (p < .001) and increased in-hospital, 30-day and 6-month mortality (p < .001). Delirium in ACS patients in the CICU extends hospitalization and increases in-hospital, 30-day and 6-month mortality. Early recognition and targeted interventions are crucial for mitigating adverse outcomes in this high-risk population. This study highlights the critical impact of delirium on outcomes in hospitalized patients with ACS in the CICU. Delirium, often overlooked in ACS management, significantly extends hospitalization and increases mortality rates. Nurses and physicians must be vigilant in identifying delirium early, particularly in older ACS patients or those with comorbidities. Recognizing independent predictors such as catheterization and benzodiazepine use allows for targeted interventions to reduce delirium incidence. Integrating routine delirium assessments and preventive strategies into ACS management protocols can improve outcomes, optimize resource utilization and enhance overall patient care in the CICU setting.

Restrictive use of Restraints and Delirium Duration in the Intensive Care Unit (R2D2-ICU): protocol for a French multicentre parallel-group open-label randomised controlled trial

IntroductionPhysical restraint (PR) is prescribed in patients receiving invasive mechanical ventilation in the intensive care unit (ICU) to avoid unplanned removal of medical devices. However, it is associated with an...

The predictive value of confusion assessment method-intensive care unit and intensive care delirium screening checklist for delirium in critically ill patients in the intensive care unit: A systematic review and meta-analysis.

Approximately 16%-89% of patients developed delirium during hospitalization in the intensive care unit (ICU). Studies on the accuracy and clinical application of ICU delirium screening tools exist, but the results are inconsistent. Moreover, the accuracy of different screening tools varied greatly. To compare the diagnostic accuracy of Confusion Assessment Method-Intensive Care Unit (CAM-ICU) and Intensive Care Delirium Screening Checklist (ICDSC) for delirium screening in critically ill patients in the ICU. We searched PubMed, Embase, Cochrane Central Register of Controlled Trials, Medline, and SciELO databases for relevant studies by combining relevant medical subject headings (MeSH) and keywords. Each database was searched from its creation to 30 January 2024. The included literature was screened by title, abstract, and full text. The diagnostic studies were summarized using Stata 14.0 software. SEN, SPE, PLR, NLR, DOR, and 95% confidence interval (CI) of the diagnostic studies were combined, the SROC analysis was performed, and the area under curve was estimated. Thirty-two articles from the database met the inclusion criteria. The number of studies on CAM-ICU and ICDSC was 28 and 14, respectively. For CAM-ICU, the pooled sensitivity and specificity were 0.81 (95% CI: 0.81-0.81) and 0.94 (95% CI: 0.94-0.94), and the hierarchical SROC curve was 0.96 (95% CI: 0.93-0.97). Regarding the ICDSC, The pooled sensitivity and specificity were 0.79 (95% CI: 0.68-0.86) and 0.90 (95% CI: 0.84-0.93), and the hierarchical SROC curve was 0.92 (95% CI: 0.89-0.94). Regarding the likelihood ratio, the CAM-ICU has a high PLR of 14.24 (95% CI: 14.24-14.24) and a low NLR of 0.20 (95% CI: 0.20-0.20). The ICDSC has a low PLR of 7.64 (95% CI: 5.37-10.87) and a high NLR of 0.24 (95% CI: 0.16-0.35). CAM-ICU showed good performance in terms of screening and diagnostic efficacies for delirium in critically ill patients. In view of the diagnostic accuracy of these two tools in delirium assessment, the strategies on how to increase their implementation in delirium screening among ICU patients are the focus of future research. CAM-ICU is recommended as the first choice to evaluate delirium in clinical practice, followed by ICDSC. Future studies can explore the predictive value of CAM-ICU and ICDSC in different special populations and different types of delirium.

The association between cerebral blood flow variations during on-pump coronary artery bypass grafting surgery and postoperative delirium.

Postoperative delirium (POD) has a major impact on patient recovery after cardiac surgery. Although its pathophysiology remains unclear, there could be a correlation between cerebral blood flow (CBF) variations during cardio-pulmonary bypass (CPB) and POD. Our study aimed to evaluate whether variations in on-pump CBF, compared to pre-anesthesia and pre-CPB values, are associated with POD following coronary artery bypass grafting (CABG) surgery. This prospective observational cohort study included 95 adult patients undergoing elective on-pump CABG surgery. Right middle cerebral artery blood flow velocity (MCAV) was assessed using Transcranial Doppler before anesthesia induction, before CPB and every fifteen minutes during CPB. Pre-anesthesia and pre-CPB values were chosen as baselines. Individual values, measured during CPB, were converted as percentage changes relative to these baselines and named as %MCAV0 and %MCAV1, respectively. POD was assessed using the Confusion Assessment Method for ICU (CAM-ICU) during the first 48 post-operative hours and with the 3-Minute Diagnostic Interview for Confusion Assessment Method (3D-CAM) on the fifth post-surgical day. Overall POD incidence was 17.9%. At 30minutes of CPB, %MCAV0 was higher in POD group than in no-POD group (p = .05). %MCAV0 at 45minutes of CPB was significantly higher in POD group (87 (±17) %) than in no-POD group (68 (±24) %), p = .04. %MCAV1 at 30 and 45minutes of CPB were higher in POD group than in no-POD group, at the limit of statistical significance. We found %MCAV1 > 100% in POD group, but not in no-POD group. Significant differences in %MCAV0 became evident after 30minutes of CPB, whereas differences in %MCAV1 at 45 minutes of CPB were at limit of statistical significance. In POD group %MCAV1 was higher than 100% at 30 and 45minutes of CPB, which is supposed to be a sign of cerebral hyperperfusion. Monitoring CBF during CPB could have prognostic value for POD.

Prevalence and risk factors of delirium of older adults after cardiac surgery at the intensive care unit: A retrospective study

Purpose: The purpose of this study is to identify the prevalence and risk factors of delirium of older adults after cardiac surgery at the intensive care unit (ICU). Methods: A retrospective descriptive correlational study design was used. Among 675 older adults who admitted to ICU after cardiac surgery in a tertiary hospital from May 2021 to April 2022, 528 were selected for data analysis. Data were collected through electronic medical records. Delirium and pain intensity were evaluated using the Confusion Assessment Method-Intensive Care Unit and Critical Care Non-verbal Pain Scale, respectively. Results: The incidence rate of delirium was 41.3% (n=218). Multivariate logistic regression analysis of the variables identified that ICU length of stay (odds ratio [OR]=1.77, p&lt;.001), anesthesia time (OR=1.21, p=.016), pain intensity (OR=1.14, p=.044), and age (OR=1.07, p=.002) were identified as risk factors of delirium after cardiac surgery. Conclusion: ICU length of stay, anesthesia time, pain score, and advanced age should be considered as the prevention and management of delirium at the intensive care unit of older adults after cardiac surgery.

Whole blood thiamine, intravenous thiamine supplementation and delirium occurrence in the intensive care unit: retrospective cohort analyses.

Thiamine di-phosphate is an essential cofactor in glucose metabolism, glutamate transformation and acetylcholinesterase activity, pathways associated with delirium occurrence. We hypothesised that a deficiency in whole blood thiamine and intravenous thiamine supplementation could impact delirium occurrence. To establish whether a deficiency in whole blood thiamine and/or intravenous thiamine supplementation within 72 h of intensive care admission is associated with delirium occurrence. The first dataset was secondary analysis of a previous study in an intensive care unit in the Netherlands, reported in 2017. The second dataset contained consecutive intensive care admissions 2 years before (period 1: October 2014 to October 2016) and after (period 2: April 2017 to April 2019) routine thiamine supplementation was introduced within 72 h of admission. Delirium was defined as a positive Confusion Assessment Method-Intensive Care Unit score(s) in 24 h. Analysis of the first dataset (n = 57) using logistic regression showed no relationship between delirium and sepsis or whole blood thiamine, but a significant association with age (p = 0.014). In the second dataset (n = 3074), 15.1% received IV thiamine in period 1 and 62.6% during period 2. Hierarchical regression analysis reported reduction in delirium occurrence in the second period; this did not reach statistical significance, OR = 0.81 (95% CI 0.652-1.002); p = 0.052. No relationship was detected between whole blood thiamine and delirium occurrence on admission, at 24 and 48 h. It remains unclear whether routine intravenous thiamine supplementation during intensive care admission impacts delirium occurrence. Further prospective randomised clinical trials are needed.

Ketamine for Primary Analgosedation in Critically Ill Surgery and Trauma Patients Requiring Mechanical Ventilation.

Evaluate effectiveness and safety outcomes associated with the use of ketamine for primary analgosedation in the surgical/trauma ICU setting. Retrospective cohort study. Academic medical center in Minnesota. Patients admitted to the surgical ICU between 2015 and 2019 requiring mechanical ventilation and meeting one of three definitions for ketamine primary analgosedation were included: 1) no concomitant opioid infusion, 2) ketamine monotherapy for greater than or equal to 6 hours with subsequent opioid infusion, or 3) ketamine initiated concomitantly or within 4 hours of opioid and total opioid duration less than 4 hours. None. Use of ketamine, analgesics, and sedatives were evaluated. Pain, sedation, and delirium assessments immediately before and during ketamine infusion were collected and compared with reported goals. Concomitant analgesics, sedatives, and psychotropics were recorded. Reported failures due to ineffectiveness and toxicity were collected. Of 164 included patients, 88% never received a concomitant opioid infusion (primary analgosedation definition 1), 12% met alternative criteria for primary analgosedation (definitions 2 and 3). A majority, 68%, were surgical admissions and mean Acute Physiology and Chronic Health Evaluation III score was 90 (± 30). Median mechanical ventilation duration was 2.5 days (1.1-4.5) and ICU length of stay of 4.9 days (3-8). The median ketamine infusion dose and duration were 0.18 mg/kg/hr (0.1-0.3) and 30 hours (15.1-51.8). Concomitant infusions of propofol and dexmedetomidine were administered in 49% and 29% of patients, respectively. During ketamine infusion, the median percent of total pain scores at goal was 62% (33-96%), while 64% (37-91%) of Richmond Agitation Sedation Scale scores were at goal, and 47% of patients were Confusion Assessment Method-ICU positive during the ketamine infusion. Hallucinations were documented in 14% of patients and ketamine failure occurred in 11% of patients. Ketamine may be an effective primary analgosedation option in intubated surgical ICU patients, but prospective randomized studies are needed to evaluate this strategy.

Prevalence of Delirium After Abdominal Surgery and Association With Ketamine: A Retrospective, Propensity-Matched Cohort Study.

Delirium is a common postoperative complication for older patients in the ICU. Ketamine, used primarily as an analgesic, has been thought to prevent delirium. Determine the prevalence and association of delirium with low-dose ketamine use in ICU patients after abdominal surgery. Single-center, retrospective, propensity-matched cohort study. Eight hospital academic medical center. Cohort comprising 1836 patients admitted to the ICU after abdominal surgery between June 23, 2018 and September 1, 2022. Propensity score matching (PSM) with a 3:1 ratio between no-ketamine use and ketamine use was performed through a greedy algorithm (caliper of 0.005). Outcomes of interest included: delirium (assessed by Confusion Assessment Method-ICU), mean pain score (Numeric Pain Scale or Critical Care Pain Observation Tool score as available), mean opioid consumption (morphine milligram equivalents), length of stay (d), and mortality. Prevalence of delirium was 47.71% (95% CI, 45.41-50.03%) in the cohort. Of 1836 patients, 120 (6.54%) used low-dose ketamine infusion. After PSM, the prevalence of delirium was 56.02% (95% CI, 51.05-60.91%) in all abdominal surgery patients. The ketamine group had 41% less odds of delirium (odds ratio [OR] = 0.59; 95% CI, 0.37-0.94; p = 0.026) than patients with no-ketamine use. Patients with ketamine use had higher mean pain scores (3.57 ± 2.86 vs. 2.21 ± 2.09, p < 0.001). In the subgroup analysis, patients in the ketamine-use group 60 years old or younger had 64% less odds of delirium (OR = 0.36; 95% CI, 0.13-0.95; p = 0.039). The mean pain scores were higher in the ketamine group for patients 60 years old or older. There was no significant difference in mortality and opioid consumption. Low-dose ketamine infusion was associated with lower prevalence of delirium in ICU patients following abdominal surgery. Prospective studies should further evaluate ketamine use and delirium.

Delirium Screening and Pharmacotherapy in the ICU: The Patients Are Not the Only Ones Confused.

Background: Delirium is difficult to measure in the Intensive Care Unit (ICU). It is possible that by considering the rate of screening, incidence, and rate of treatment with antipsychotic medications (APMs) for suspected delirium, a clearer picture can emerge. Methods: A retrospective, observational study was conducted at two ICUs in Australia, between April and June of 2020. All adult ICU patients were screened; those who spoke English and did not have previous neurocognitive pathology or intracranial pathology were included in the analysis. Data were collected from the hospitals' electronic medical records. The primary outcome was incidence of delirium based on the use of the Confusion Assessment Method for ICU (CAM-ICU). Secondary outcomes included measures of screening for delirium, treatment of suspected delirium with APMs, and identifying clinical factors associated with both delirium and the use of APMs. Results: From 736 patients that were screened, 665 were included in the analysis. The incidence of delirium was 11.3% (75/665); on average, the Richmond Agitation and Sedation Scale (RASS) was performed every 2.9 h and CAM-ICU every 40 h. RASS was not performed in 8.4% (56/665) of patients and CAM-ICU was not performed in 40.6% (270/665) of patients. A total of 17% (113/665) of patients were prescribed an APM, with quetiapine being the most used. ICU length of stay (LOS), APACHE-III score, and the use of alpha-2 agonists were associated with the presence of delirium, while ICU LOS, the use of alpha-2 agonists, and the presence of delirium were associated with patients receiving APMs. Conclusions: The incidence of delirium was lower than previously reported, at 11.3%. The rate of screening for delirium was low, while the use of APMs for delirium was higher than the incidence of delirium. It is possible that the true incidence is higher than what was measured. Critical prospective assessment is required to optimize APM indications in the ICU.

Long-term mortality of critically ill patients with cancer and delirium who survived to discharge: a retrospective cohort study.

Delirium is common in critically ill patients and has been associated with lower short-term survival; however, its association with long-term survival has been scarcely evaluated and few studies have shown divergent results. We conducted a retrospective cohort study of adult patients with cancer admitted to the intensive care unit (ICU) and discharged from hospital from January 2015 to December 2018. We considered delirium present if the Confusion Assessment Method for Intensive Care Unit (CAM-ICU) result was positive. We assessed the association between delirium during ICU stay and long-term mortality (up to three years after discharge). We also assessed the association between delirium type (hypoactive, hyperactive, and mixed) with long-term mortality. We included 3,079 patients. Of these, 430 (14%) were considered delirious at some point during their ICU stay. Delirium was associated with one-year mortality after hospital discharge (hazard ratio [HR], 1.58; 95% confidence interval [CI], 1.36 to 1.83) after adjustment for potential confounders, but not with one to three year-mortality (HR, 0.92; 95% CI, 0.61 to 1.39). Hypoactive and mixed delirium were associated with one-year mortality (HR, 1.77; 95% CI, 1.46 to 2.14 and HR, 1.56; 95% CI, 1.21 to 2.00, respectively), but none of the delirium motor types was associated with one to three-year mortality. We observed that delirium during ICU stay was associated with increased one-year mortality, but was not with mortality after one year. This association was observed in hypoactive and mixed delirium types but not with hyperactive delirium.

Postoperative infusion of dexmedetomidine via intravenous patient-controlled analgesia for prevention of postoperative delirium in elderly patients undergoing surgery

BackgroundPostoperative delirium (POD) is a common clinical complication in elderly patients after surgery and predicts poor outcomes.AimWe researched whether postoperative infusion of dexmedetomidine (DEX) had prophylactic effect on POD in elderly patients.MethodsA total of 236 patients over the age of 60 years undergoing thoracoabdominal tumor surgery were enrolled in Zhejiang Cancer Hospital from November 2016 to October 2020. The patients were randomly assigned into DEX group (group D) and control group (Group C). DEX was provided via PCIA pump 1–3 days after surgery, which consisted of 3 ug/kg sufentanil and 3 ug/kg DEX in group D, and 3 ug/kg sufentanil without DEX in group C. The PCIA parameters were programmed as follows: total amount 150 ml, 2 ml bolus dose with a lock-out of 10 min and background infusion rate 2 ml/h. The primary endpoint was the incidence of POD, assessed twice daily within 7 days after surgery by Richmond Agitation-Sedation Scale (RASS) and the Confusion Assessment Method–Intensive Care Unit (CAM-ICU). The secondary endpoint was postoperative hospitalization days, ICU stay time, adverse events and non-delirium complications.ResultsThe incidence of POD in all patients was 7%. The incidence of POD in group C was significantly higher than that in group D (10.1% vs 3.4%, P = 0.042). There were no significant differences in length of hospital stay after operation, ICU stay time, the percentage of patients discharged within 7 days after surgery, non-delirium complications, and 30-day all-cause deaths between the two groups. The incidence of hypertension in group D was lower than that in group C (P = 0.003), and there were no differences in other adverse events.ConclusionPatients aged over 60 years received DEX in addition to intravenous patient-controlled analgesia (PCIA) for major thoracoabdominal surgery experienced less delirium.

Mobilisation in the EveNing to prevent and TreAt deLirium (MENTAL): a mixed-methods, randomised controlled feasibility trial

Delirium is common in critically ill patients and associated with longer hospital stays, increased morbidity and higher healthcare costs. Non-pharmacological interventions have been advocated for delirium management, however there is little evidence evaluating feasibility and acceptability of physical interventions administered in the evening. The aim of this study was to conduct a feasibility trial of evening mobilisation to prevent and treat delirium in patients admitted to intensive care. In this mixed-methods, randomised controlled feasibility trial we recruited participants from intensive care units at two university hospitals in the United Kingdom. Eligible participants who were able to respond to verbal stimulus (Richmond agitation and sedation scale ≥3) and expected to stay in intensive care for at least 24h were randomly assigned (1:1) to receive usual care or usual care plus evening mobilisation. The evening mobilisation was delivered between 19:00 and 21:00, for up to seven consecutive evenings or ICU discharge, whichever was sooner. All outcome assessments were completed by a team member blinded to randomisation and group allocation. Primary objective was to assess feasibility and acceptability of evening mobilisation. Primary feasibility outcomes were recruitment, consent and retention rates, and intervention fidelity. Intervention acceptability was evaluated through semi-structured interviews of participants and staff. Secondary outcomes included prevalence in incidence and duration of delirium, measured using the Confusion Assessment Method for ICU. This trial is registered at ClinicalTrials.gov, NCT05401461. Between July 16th, 2022, and October 31st, 2022, 58 eligible patients (29 usual care; 29 usual care plus evening mobilisation) were enrolled. We demonstrated the feasibility and acceptability of both the trial design and evening mobilisation intervention. Consent and retention rates over three months were 88% (58/66) and 90% (52/58) respectively, with qualitative analysis demonstrating good acceptability reported by both participants and staff. Secondary outcomes for the evening intervention group compared with the control group were: delirium incidence 5/26 (19%; 95% CI: 6-39%) vs 8/28 (29%; 95% CI: 13-49%) and mean delirium duration 2 days (SD 0.7) vs 4.25 days (SD 2.0). Results of this trial will inform the development of a definitive full-scale randomised controlled trial investigating the effects of evening mobilisation to treat delirium and improve health-related outcomes. None.

Delirium in stroke: systematic review and meta-analysis

Due to the complexity of the symptoms, delirium detection poses achallenge in stroke patients. Alarge body of literature has established that neurospecific challenges can have aconsiderable impact on diagnosis and are underrepresented in screening. An analysis of current scientific literature on delirium screening tests and their applicability in stroke patients, acknowledging neurospecific challenges and evaluating diagnostic test accuracy. Asystematic literature search was conducted in PubMed, CINAHL, and Cochrane Library databases. Studies published between 2018 and 2021 were evaluated and the study quality was assessed according to the Institute for Clinical Systems Improvement. Furthermore, the specificity and sensitivity of delirium screening tests were pooled RESULTS: The systematic literature review found atotal of 2636articles, following areview of the inclusion and exclusion criteria. Thus, 18moderate-quality studies with atotal of 3320patients and 9distinct delirium screenings were identified. Within those 18studies, the prevalence of delirium was 34.2%. However, the delirium prevalence was significantly lower in 6studies that included patients with neurologic impairments (26.5 vs. 32.1%, p = 0.0004). Pooled sensitivity and specificity for the 4AT (Rapid assessment test for delirium ) were 82 and 77%, while these values were 72 and 93% for the CAM-ICU (Confusion Assessment Method for Intensive Care Units) and 79 and 72% for the ICDSC (Intensive Care Delirium Screening Checklist). Neurological impairments may influence the test quality of delirium screening in stroke patients. The CAM-ICU can be recommended for nonaphasic patients. The ICDSC can be used in all stroke patients on stoke units with an adjusted cut-off value of > 5points.