Incidence, risk factors and consequences of ICU delirium

Risk factors for transitions and outcomes of subsyndromal delirium in the ICU: Post-hoc analysis of a prospective multicenter cohort study

PURPOSE

Identify risk factors for progression to delirium and outcomes of subsyndromal delirium (SSD) in critically ill adults.

METHODS

Multicenter prospective study screening patients with the Intensive Care Delirium Screening Checklist (ICDSC), excluding those with primary neurologic diagnosis or persistent coma. SSD was defined as an ICDSC score 1-3. Main outcomes were risk factors for SSD progression and association with hospital mortality. Secondary outcomes included ICU mortality and length of stay.

RESULTS

Among 1572 patients, 562 (35.8 %) had no delirium, 488 (31 %) SSD without delirium, 180 (11.5 %) SSD progressing to delirium and 174 (11.1 %) delirium without prior SSD. For 168 (10.7 %) delirium status was unknown. SSD onset risk factors were female sex, higher APACHE IV score, and medical /emergency surgery admissions. SSD progression risk factors included higher APACHE IV score, medical/emergency surgery admissions, metabolic acidosis and morphine dosage in the first 24 h. SSD patients had lower hospital mortality than delirium patients (OR 0.57, 95 %CI 0.36 to 0.90), but no significant difference compared to non-delirious patients (OR 1.30, 95 %CI 0.69 to 2.42). SSD patients had shorter ICU stays than delirium patients but longer than non-delirious patients.

CONCLUSIONS

This study identified risk profiles and validated SSD as an intermediate prognostic condition, supporting early interventions to prevent delirium-associated harms.

TRIAL REGISTRATION

ClinicalTrials.gov Identifier NCT01952899 (registered September 30, 2013).

The prescribing patterns and effectiveness of sedatives and analgesics for severe traumatic brain injury patients in Taiwan

BACKGROUND

Traumatic brain injury (TBI) is a major global health challenge associated with high mortality and morbidity. Secondary brain injury caused by disrupted intracranial pressure (ICP) regulation often necessitates sedation; however, guidelines lack specificity for TBI management.

METHODS

This study analyzed sedation and analgesia prescribing patterns and their outcomes in severe TBI patients in Taiwan using National Health Insurance Research Database data (2012-2019). Severe TBI patients intubated during intensive care unit (ICU) hospitalization were included. The primary outcome was 30-day all-cause mortality, with sensitivity analyses for 14-day mortality and 30-day all-cause mortality excluding deaths within 3 days. Inverse probability of treatment weighting (IPTW) was applied to balance patient characteristics across groups. Mortality rates across groups were evaluated using Kaplan-Meier survival analysis. At the same time, the Cox proportional hazards model simultaneously assessed the impact of various risk factors, such as age and comorbidities, on mortality.

RESULTS

Among 6030 patients, sedation and analgesia patterns varied, with midazolam combined with opioids being the most common regimen. Compared to the reference group (sedatives with opioids), the risk of death was highest in the no-prescription group (HR = 2.73, 95 % CI = 2.60-2.86), followed by the sedation-only group (HR = 1.58, 95 % CI = 1.50-1.66) and the opioids-only group (HR = 1.49, 95 % CI = 1.42-1.57; all p < 0.0001). Sensitivity analyses confirmed consistent trends.

CONCLUSIONS

These findings underscore the importance of optimizing sedation practices and enhancing awareness to improve outcomes for severe TBI patients.

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

BACKGROUND

Delirium in intensive care unit (ICU) patients poses a significant challenge, affecting patient outcomes and health care efficiency. Developing an accurate, real-time prediction model for delirium represents an advancement in critical care, addressing needs for timely intervention and resource optimization in ICUs.

OBJECTIVE

We aimed to create a novel machine learning model for delirium prediction in ICU patients using only continuous physiological data.

METHODS

We developed models integrating routinely available clinical data, such as age, sex, and patient monitoring device outputs, to ensure practicality and adaptability in diverse clinical settings. To confirm the reliability of delirium determination records, we prospectively collected results of Confusion Assessment Method for the ICU (CAM-ICU) evaluations performed by qualified investigators from May 17, 2021, to December 23, 2022, determining Cohen κ coefficients. Participants were included in the study if they were aged ≥18 years at ICU admission, had delirium evaluations using the CAM-ICU, and had data collected for at least 4 hours before delirium diagnosis or nondiagnosis. The development cohort from Yongin Severance Hospital (March 1, 2020, to January 12, 2022) comprised 5478 records: 5129 (93.62%) records from 651 patients for training and 349 (6.37%) records from 163 patients for internal validation. For temporal validation, we used 4438 records from the same hospital (January 28, 2022, to December 31, 2022) to reflect potential seasonal variations. External validation was performed using data from 670 patients at Ajou University Hospital (March 2022 to September 2022). We evaluated machine learning algorithms (random forest [RF], extra-trees classifier, and light gradient boosting machine) and selected the RF model as the final model based on its performance. To confirm clinical utility, a decision curve analysis and temporal pattern for model prediction during the ICU stay were performed.

RESULTS

The κ coefficient between labels generated by ICU nurses and prospectively verified by qualified researchers was 0.81, indicating reliable CAM-ICU results. Our final model showed robust performance in internal validation (area under the receiver operating characteristic curve [AUROC]: 0.82; area under the precision-recall curve [AUPRC]: 0.62) and maintained its accuracy in temporal validation (AUROC: 0.73; AUPRC: 0.85). External validation supported its effectiveness (AUROC: 0.84; AUPRC: 0.77). Decision curve analysis showed a positive net benefit at all thresholds, and the temporal pattern analysis showed a gradual increase in the model scores as the actual delirium diagnosis time approached.

CONCLUSIONS

We developed a machine learning model for delirium prediction in ICU patients using routinely measured variables, including physiological waveforms. Our study demonstrates the potential of the RF model in predicting delirium, with consistent performance across various validation scenarios. The model uses noninvasive variables, making it applicable to a wide range of ICU patients, with minimal additional risk.

Laparoscopic Gastric Gastrointestinal Stromal Tumor (GIST) Resection in a 108-Year-Old Patient

Surgery for centenarians comes with unprecedented challenges and risks. The limited physical reserve and fragility of homeostatic control in this population reduces their ability to adapt to physiological changes encountered during open and laparoscopic surgery. This case report presents a 108-year-old female patient who underwent laparoscopic resection of a symptomatic gastric gastrointestinal stromal tumour (GIST), without any adverse effects. The case highlights the importance of thorough preoperative risk assessment and planning, multidisciplinary input, and individualised patient care.

A bibliometric analysis on delirium in intensive care unit from 2013-2023

Background

Delirium is a common manifestation of acute brain dysfunction among patients in the Intensive Care Unit (ICU), afflicting an estimated 30-35% of this vulnerable population. The prevalence of delirium in ICU settings has catalyzed a surge in academic interest, as evidenced by a growing body of literature on the subject. This study seeks to synthesize the progress in understanding ICU delirium through a bibliometric analysis.

Methods

We conducted a comprehensive search of the Web of Science Core (WOS) Collection database for literature on ICU delirium, focusing on studies published between 2013 and 2023. Our analysis utilized two bibliometric software tools, Citespace and VOSviewer, to scrutinize the data across various dimensions, including country contributions, authorship patterns, publishing journals, key thematic terms, and other pertinent metrics, with the aim of identifying emerging trends in the field.

Results

Our search yielded a total of 1,178 publications on ICU delirium within the WOS database from January 2013 to June 2023. The United States emerged as the leading contributor in terms of published articles, with Ely, E. Wesley being the most prolific author, having published 85 articles, and "Critical Care Medicine" as the journal with the highest number of publications, totaling 105. The application of literature clustering and keyword analysis revealed that future research is poised to delve deeper into areas such as pediatric delirium, risk factors, and the development of preventive and therapeutic strategies.

Conclusion

This study employs bibliometric analysis to provide a multifaceted overview of the ICU delirium research landscape over the past decade. By examining the topic from various perspectives, we have not only mapped the current state of ICU delirium research but also illuminated potential avenues for future inquiry and areas of emphasis.

Delirium in Neurocritical Care: Uncovering Undisclosed Psychotropic Substance and Medication Use and Stress Exposure by Hair Analysis

OBJECTIVE

In intensive care, delirium is frequent, prolongs the stay, increases health care costs, and worsens patient outcome. Several substances and medications as well as stress can impact the risk of delirium; however, assessment of previous exposure to psychotropic agents and stress by self-reports or third-party information is not always reliable. Hair analysis can be used to objectively assess medication and substance use (including chronic alcohol consumption), and allows for the determination of stress-related long-term changes in steroid hormones and endocannabinoids.

METHODS

Consecutive adult patients with acute brain injury admitted to the neurocritical care unit were included. Delirium was diagnosed using the Confusion Assessment Method for the Intensive Care Unit. Liquid chromatography coupled with tandem mass spectrometry was used to investigate psychoactive substances and medications, ethyl glucuronide, steroid hormones, and endocannabinoids in hair samples. Univariable and multivariable analyses were used to reveal any associations with the occurrence of delirium.

RESULTS

Of 50 consecutive patients, 21 (42%) were diagnosed with delirium. Detection of antipsychotics or antidepressants in hair was more frequent in patients with delirium (antidepressants: 43% vs. 14%, p = 0.040; antipsychotics: 29% vs. 0%, p = 0.021). These patients also displayed higher ethyl glucuronide levels (p = 0.049). Anandamide (AEA) concentrations were higher in patients with delirium (p = 0.005), whereas oleoylethanolamide (p = 0.045) and palmitoylethanolamide (PEA) (p = 0.017) concentrations were lower in patients with delirium. Backward stepwise logistic regression analysis revealed antidepressants and AEA/PEA to be independent relevant predictors of delirium.

CONCLUSIONS

Hair analysis provides crucial and otherwise unattainable information regarding chronic stress and the use of psychotropic substances and medications. Undisclosed antidepressant/antipsychotic use or intense chronic alcohol consumption is susceptible to treatment (continuation of medication or provision of low-dose benzodiazepines in case of alcohol). Chronic stress can be evaluated using stress markers and endocannabinoids in hair, potentially allowing for personalized delirium risk stratification and preventive measures.

ICU Delirium

Delirium is not a harmless transient event during ICU hospitalization; rather, it is a severe complication of critical illness associated with increased mortality, morbidity, and persistent disability. Despite being recognized for decades, it remains underdiagnosed. Employing validated tools for detection helps reduce missed cases. Early detection facilitates prompt management. Sedatives, opioids, and antipsychotics should be avoided whenever possible. Optimizing environmental triggers, minimizing iatrogenicity, and treating underlying critical illness constitute the basis of the currently recommended approach to diminish the burden of delirium in ICU patients.

Recent developments in delirium after oral and maxillofacial free-flap reconstruction

Postoperative delirium (POD), a common complication following surgery and anesthesia, is particularly prone to occur after reconstruction surgery in the oral and maxillofacial region. The occurrence of POD seriously affects the incidence of postoperative complications, the survival of free flaps, the length of hospital stays, and brings great pain to patients and their families, and even increases perioperative mortality. Currently, a large number of studies have reported on the risk factors for POD after oral and maxillofacial free-flap reconstruction. Multiple independent risk factors have been identified, including age, history of excessive alcohol consumption, and perioperative nutritional status. This review summarizes the relevant literature and hopes to provide insights for the prevention of POD in high-risk patients.

Dexmedetomidine for delirium prevention in adult patients following cardiac surgery: a meta-analysis of randomized controlled trials

OBJECTIVES

To determine whether perioperative administration of dexmedetomidine reduces the incidence of postoperative delirium in adult patients undergoing cardiac surgery.

METHODS

We searched the PubMed, Embase and Cochrane Library databases for randomized controlled trials from the last 10 years up to March 10, 2024. We then conducted a meta-analysis to evaluate the effectiveness and safety of dexmedetomidine in preventing delirium after cardiac surgery in adults. This meta-analysis followed the steps in the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA2020) guidelines. This study is registered with INPLASY under number INPLASY202430132.

RESULTS

A total of 2689 patients were included in our analyses. All included studies were randomized controlled trials. Dexmedetomidine can reduce the occurrence of delirium in patients after cardiac surgery(OR 0.75, 95%CI 0.57-0.98, I2 = 12%, P = 0.04). In terms of other end events, length of intensive care unit(ICU) stay(MD -0.16, 95%CI -1.85-1.53, I2 = 0%, P = 0.85) and mortality(OR 1.59, 95%CI 0.74-3.42, I2 = 0%, P = 0.23) were not statistically different with dexmedetomidine compared with placebo. Bradycardia (OR 0.85, 95%CI 0.54 ~ 1.34, I2 = 72%, P = 0.49) and hypotension (OR 1.97, 95%CI 0.96 ~ 4.03, I2 = 84%, P = 0.06) were not significantly different between the two groups.

CONCLUSIONS

Dexmedetomidine is safe for cardiac surgery patients and to some extent reduces the incidence of delirium in cardiac surgery patients, which is more important in preoperative use.

Risk stratification for violent behavior in critically ill patients: Current assessment tools

BACKGROUND

Workplace violence (WPV) presents challenges in intensive care units (ICUs) calling for reliable prediction of violence. This narrative review aimed to identify and evaluate risk assessment tools from acute care settings which are or might be used to predict violent behavior in adult ICU patients focusing on their performance and clinical utility.

METHODS

A screening of PubMed, Scopus and Google Scholar was conducted to identify risk scores used in the acute care setting such as emergency departments, hospitals and ICUs. Risk factors, predictive validity of scores and their relevance to the ICU setting were evaluated.

RESULTS

24 studies were included. Two studies reported the use in general ICU populations, while eight studies were conducted in psychiatric ICUs and 14 studies implemented the use of risk tools in emergency departments or general wards. Ten risk scores were identified using 30 different variables. Those could be categorized into patient demographics, behavior, history of violence, mental status and other items such as sleep disturbances. The Broset Violence Checklist (BVC) was the most commonly used risk score. It showed moderate predictive accuracy in psychiatric settings including psychiatric ICUs, but limited validation for general ICUs. The overall evidence level was low with serious risk of bias. Other tools demonstrated varying sensitivity and specificity but lacked validation in ICUs.

IMPLICATIONS FOR CLINICAL PRACTICE

ICU nurses and physicians are often subjected to violence. There is little evidence on scores to predict patients' behavior. Most assessments come from outside the ICU, but may be promising in critical care.

CONCLUSION

This review underscores the need for the development of violence risk assessment tools tailored to the ICU, as the challenges with violent ICU patients differ from other populations. New predictive models must be developed including factors associated with patients' violent behavior in ICUs as compiled in this review.

A Critical Reappraisal of Haloperidol for Delirium Management in the Intensive Care Unit: Perspective from Psychiatry

Delirium is a complex neuropsychiatric syndrome with multifactorial pathophysiology, encompassing a wide range of neuropsychiatric symptoms, and its management remains a significant challenge in critical care. Although often managed with antipsychotics, like haloperidol, current research has predominantly focused on dopamine dysregulation as the primary driver of delirium, overlooking its broader neuroanatomical and neurochemical underpinnings. This has led to a majority of research focusing on haloperidol as a treatment for intensive care unit (ICU) delirium. Our review critically evaluates the role of haloperidol in ICU delirium management, particularly in light of recent large-scale randomized controlled trials (RCTs) that have primarily focused on delirium-free days and mortality as the primary endpoints. These studies highlight an limited understanding of the true nature of delirium treatment, which requires a broader, neuropsychiatric approach. We argue that future research should shift focus to neuropsychiatric symptoms such as agitation and psychosis and explore the clinical and functional benefits of reducing these distressing symptoms. Additionally, the stratification of delirium by subtypes and etiology, the enhancement of detection tools, and the adoption of multi-intervention and multi-disciplinary care approaches should be prioritized. Despite the methodological flaws in these studies, the findings support the safety of haloperidol in the ICU setting, with minimal risk of adverse events, particularly cardiac and neuropsychiatric. Moving forward, delirium research must integrate modern neuroscientific understanding and adopt more multi-disciplinary input and nuanced, patient-centered approaches to truly advance clinical care and outcomes.

Prediction of Postoperative Delirium in Older Adults from Preoperative Cognition and Occipital Alpha Power from Resting-State Electroencephalogram

Background

Postoperative delirium is the most common complication following surgery among older adults, and has been consistently associated with increased mortality and morbidity, cognitive decline, and loss of independence, as well as markedly increased health-care costs. Electroencephalography (EEG) spectral slowing has frequently been observed during episodes of delirium, whereas intraoperative frontal alpha power is associated with postoperative delirium. We sought to identify preoperative predictors that could identify individuals at high risk for postoperative delirium, which could guide clinical decision-making and enable targeted interventions to potentially decrease delirium incidence and postoperative delirium-related complications.

Methods

In this prospective observational study, we used machine learning to evaluate whether baseline (preoperative) cognitive function and resting-state EEG could be used to identify patients at risk for postoperative delirium. Preoperative resting-state EEGs and the Montreal Cognitive Assessment were collected from 85 patients (age = 73 ± 6.4 years, 12 cases of delirium) undergoing elective surgery. The model with the highest f1-score was subsequently validated in an independent, prospective cohort of 51 older adults (age = 68 ± 5.2 years, 6 cases of delirium) undergoing elective surgery.

Results

Occipital alpha powers have higher f1-score than frontal alpha powers and EEG spectral slowing in the training cohort. Occipital alpha powers were able to predict postoperative delirium with AUC, specificity and accuracy all >90%, and sensitivity >80%, in the validation cohort. Notably, models incorporating transformed alpha powers and cognitive scores outperformed models incorporating occipital alpha powers alone or cognitive scores alone.

Conclusions

While requiring prospective validation in larger cohorts, these results suggest that strong prediction of postoperative delirium may be feasible in clinical settings using simple and widely available clinical tools. Additionally, our results suggested that the thalamocortical circuit exhibits different EEG patterns under different stressors, with occipital alpha powers potentially reflecting baseline vulnerabilities.

Machine learning for the prediction of delirium in elderly intensive care unit patients

PURPOSE

This study aims to develop and validate a prediction model for delirium in elderly ICU patients and help clinicians identify high-risk patients at the early stage.

METHODS

Patients admitted to ICU for at least 24 h and using the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) in the Medical Information Mart for Intensive Care-IV (MIMIC-IV) database (76,943 ICU stays from 2008 to 2019) were considered. Patients with a positive delirium test in the first 24 h and under 65 years of age were excluded. Two prediction models, machine learning extreme gradient boosting (XGBoost) and logistic regression (LR) model, were developed and validated to predict the onset of delirium.

RESULTS

Of the 18,760 patients included in the analysis, 3463(18.5%) were delirium positive. A total of 22 significant predictors were selected by LASSO regression. The XGBoost model demonstrated superior performance over the LR model, with the Area Under the Receiver Operating Characteristic (AUC) values of 0.853 (95% confidence interval [CI] 0.846-0.861) and 0.831 (95% CI 0.815-0.847) in the training and testing datasets, respectively. Moreover, the XGBoost model outperformed the LR model in both calibration and clinical utility. The top five predictors associated with the onset of delirium were sequential organ failure assessment (SOFA), infection, minimum platelets, maximum systolic blood pressure (SBP), and maximum temperature.

CONCLUSION

The XGBoost model demonstrated good predictive performance for delirium among elderly ICU patients, thus assisting clinicians in identifying high-risk patients at the early stage and implementing targeted interventions to improve outcome.

Prevalence and risk factors of postoperative delirium in tumor patients after free flap reconstruction: A systematic review and meta-analysis of case-control studies

BACKGROUND

Postoperative delirium is a severe complication of flap transplantation surgery, adversely affecting surgical prognoses. The intricate pathophysiology of postoperative delirium renders the elucidation of its risk factors challenging. This research aims to delineate the prevalence and the specific risk factors of postoperative delirium in patients with cancer undergoing free flap reconstruction through a systematic review and meta-analysis to enlighten proactive prevention measures.

METHODS

The researchers systematically queried both the international and Chinese databases. Searches were performed for publications from inception until September 14, 2023, using the terms "free tissue flaps," "delirium," "neoplasms," and "risk factors." Data synthesis and statistical analysis were conducted using Stata SE (version 15.0) to calculate the combined effect size for identified risk factors. Reported outcomes included weighted mean differences or odds ratios with their respective 95% confidence intervals.

RESULTS

Twelve case-control studies were included (ntotal = 3,256). Among them, 515 patients developed postoperative delirium after free flap surgery, compared with 2,741 patients who did not. The outcomes suggest that the risk factors include but are not limited to age, male, late neoplasm staging, use of hypnotic or antipsychotic, history of background diseases, psychiatric review, tracheotomy, and impaired wound healing. In contrast, early neoplasm staging and others are the protective factors with statistical significance. Multivariate analysis further identified significant correlations between preoperative albumin, perioperative blood transfusion, sleep disturbance, postoperative visual analog scale, postoperative albumin, smoking, and the appearance of postoperative delirium.

CONCLUSION

The determined risk factors were grouped into preoperative, intraoperative, and postoperative categories substantiated by current data to present instructions for postoperative delirium prevention.

Impact of Delirium Onset and Duration on Mortality in Patients With Cancer Admitted to the ICU

BACKGROUND

Little is known on the effects of delirium onset and duration on outcome in critically ill patients with cancer.

OBJECTIVES

To determine the impact of delirium onset and duration on intensive care unit (ICU) and hospital mortality and length of stay (LOS) in patients with cancer.

METHODS

Of the 915 ICU patients admitted in 2018, 371 were included for analysis after excluding for terminal disease, <24-h ICU stay, lack of active cancer and delirium. Delirium was defined as early if onset was within 2 days of ICU admission, late if onset was on day 3 or later, short if duration was 2 days or less, and long if duration was 3 days or longer. Patients were placed into 4 combination groups: early-short, early-long, late-short, and late-long delirium. Multivariate analysis controlling for sex, age, metastatic disease, and predelirium hospital LOS was performed to determine ICU and hospital mortality and LOS. Exploratory analysis of long-term survival was also performed. Restricted cubic splines were performed to confirm the use of 2 days to distinguish between early versus late onset and short versus long duration.

RESULTS

A total of 32.9% (n = 122) patients had early-short, 39.1% (n = 145) early-long, 16.2% (n = 60) late-short, and 11.9% (n = 44) late-long delirium. Late-long delirium was independently associated with increased ICU (OR 4.45, CI 1.92-10.30; P < .001) and hospital (OR 2.91, CI 1.37-6.19; P = .005) mortality and longer ICU (OR 1.97, CI 1.58-2.47; P < .001) LOS compared to early-short delirium. Early delirium had better overall survival at 18 months than late delirium. Long-term survival further improved when delirium duration was 2 days or less. Prediction heatmaps confirm the use of a 2-day cutoff.

CONCLUSION

Late delirium, especially with long duration, significantly worsens outcome in ICU patients with cancer and should be considered a harbinger of poor overall condition.

The impact of adhering to a quality indicator for sedation, analgesia, and delirium management on costs, revenues, and clinical outcomes in intensive care in Germany: A retrospective observational study

BACKGROUND

Management of sedation, analgesia, and delirium influences morbidity, mortality, and quality of life in patients treated in intensive care. Assessing quality indicators as part of a quality management and assurance program is an established method to ensure process quality. Currently, there is limited research on the effect of evaluating quality indicators on economic outcomes. The aim of the study was to investigate the adherence to an indicator on management of sedation, analgesia and delirium, and explore potential effects on hospital economics and clinical outcomes.

METHODS

In this retrospective cohort study, we analyzed routine data from 20,220 patient records from the hospital information system of a tertiary university hospital, collected from January 2012 to December 2019. We compared two predefined subgroups with either high indicator adherence or low indicator adherence regarding factors like disease severity scores, comorbidities, and outcome measures. We used logistic regression models to examine the influence of quality indicator adherence on economic measures such as Diagnosis-related group (DRG) incomes, revenue margins, and costs, and clinical outcomes. Additionally, we used propensity score matching to probe our findings.

RESULTS

Overall revenue margins in this cohort were negative (-320€). High adherence to the quality indicator was associated with a positive revenue margin (+197€) compared to low adherence (-482€). Higher adherence was also associated with lower costs. Additionally, high adherence was associated with reduced mortality (OR 0.84, 95% CI 0.75-0.95) and reduced duration of mechanical ventilation and hospital stay (17 hours and 1 day respectively).

CONCLUSION

Higher adherence to a quality indicator for sedation, analgesia, and delirium management was associated with economic returns and costs. We also found an association with lower mortality and reduced length of stay. Further research on these associations may help identify opportunities for quality improvement without increased resource use.

Adverse events related to physical restraint use in intensive care units: A review of the literature

Physical restraints are widely used and accepted as protective measures during treatment in intensive care unit (ICU). This review of the literature summarizes the adverse events and outcomes associated with physical restraint use, and the risk factors associated with their use during treatment in the ICU. The PubMed, Scopus, and Google Scholar databases were screened using predefined search terms to identify studies pertaining to adverse events and/or outcomes associated with physical restraint use, and the factors associated with their use in adult patients admitted to the ICU. A total of 24 articles (including 6126 patients) that were published between 2006 and 2022 were identified. The described adverse events associated with physical restraint use included skin injuries, subsequent delirium, neurofunctional impairment, and a higher rate of post-traumatic stress disorder. Subsequent delirium was the most frequent adverse event to be reported. No alternative measures to physical restraints were discussed, and only one study reported a standardized protocol for their use. Although physical restraint use has been reported to be associated with adverse events (including neurofunctional impairment) in the literature, the available evidence is limited. Although causality cannot be confirmed, a definite association appears to exist. Our findings suggest that it is essential to improve awareness regarding their adverse impact and optimize approaches for their detection, management, and prevention using protocols or checklists.

Effect of a fall within three months of admission on delirium in critically Ill elderly patients: a population-based cohort study

BACKGROUND

Delirium is common among elderly patients in the intensive care unit (ICU) and is associated with prolonged hospitalization, increased healthcare costs, and increased risk of death. Understanding the potential risk factors and early prevention of delirium is critical to facilitate timely intervention that may reverse or mitigate the harmful consequences of delirium.

AIM

To clarify the effects of pre-admission falls on ICU outcomes, primarily delirium, and secondarily pressure injuries and urinary tract infections.

METHODS

The study relied on data sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Statistical tests (Wilcoxon rank-sum or chi-squared) compared cohort characteristics. Logistic regression was employed to investigate the association between a history of falls and delirium, as well as secondary outcomes, while Kaplan-Meier survival curves were used to assess short-term survival in delirium and non-delirium patients.

RESULTS

Study encompassed 22,547 participants. Delirium incidence was 40%, significantly higher in patients with a history of falls (54.4% vs. 34.5%, p < 0.001). Logistic regression, controlling for confounders, not only confirmed that a history of falls elevates the odds of delirium (OR: 2.11; 95% CI: 1.97-2.26; p < 0.001) but also showed it increases the incidence of urinary tract infections (OR:1.50; 95% CI:1.40-1.62; p < 0.001) and pressure injuries (OR:1.36; 95% CI:1.26-1.47; p < 0.001). Elderly delirium patients exhibited lower 30-, 180-, and 360-day survival rates than non-delirium counterparts (all p < 0.001).

CONCLUSIONS

The study reveals that history of falls significantly heighten the risk of delirium and other adverse outcomes in elderly ICU patients, leading to decreased short-term survival rates. This emphasizes the critical need for early interventions and could inform future strategies to manage and prevent these conditions in ICU settings.

A Dual-Camera Eye-Tracking Platform for Rapid Real-Time Diagnosis of Acute Delirium: A Pilot Study

OBJECTIVE

Delirium, an acute confusional state, affects 20-80% of patients in Intensive Care Units (ICUs), one in three medically hospitalized patients, and up to 50% of all patients who have had surgery. Its development is associated with short- and long-term morbidity, and increased risk of death. Yet, we lack any rapid, objective, and automated method to diagnose delirium. Here, we detail the prospective deployment of a novel dual-camera contextual eye-tracking platform. We then use the data from this platform to contemporaneously classify delirium.

RESULTS

We recruited 42 patients, resulting in 210 (114 with delirium, 96 without) recordings of hospitalized patients in ICU across two centers, as part of a prospective multi-center feasibility pilot study. All recordings made with our platform were usable for analysis. We divided the collected data into training and validation cohorts based on the data originating center. We trained two Temporal Convolutional Network (TCN) models that can classify delirium using a pre-existing manual scoring system (Confusion Assessment Method in ICU (CAM-ICU)) as the training target. The first model uses eye movements only which achieves an Area Under the Receiver Operator Curve (AUROC) of 0.67 and a mean Average Precision (mAP) of 0.68. The second model uses the point of regard, the part of the scene the patient is looking at, and increases the AUROC to 0.76 and the mAP to 0.81. These models are the first to classify delirium using continuous non-invasive eye-tracking but will require further clinical prospective validation prior to use as a decision-support tool.

CLINICAL IMPACT

Eye-tracking is a biological signal that can be used to identify delirium in patients in ICU. The platform, alongside the trained neural networks, can automatically, objectively, and continuously classify delirium aiding in the early detection of the deteriorating patient. Future work is aimed at prospective evaluation and clinical translation.

A Comparison of Efficacy between Low-dose Dexmedetomidine and Propofol for Prophylaxis of Postoperative Delirium in Elderly Patients Undergoing Hip Fracture Surgery: A Randomized Controlled Trial

AIMS AND BACKGROUND

The efficacy of dexmedetomidine and propofol in preventing postoperative delirium is controversial. This study aims to evaluate the efficacy of dexmedetomidine and propofol for preventing postoperative delirium in extubated elderly patients undergoing hip fracture surgery.

MATERIALS AND METHODS

This randomized controlled trial included participants undergoing hip fracture surgery. Participants were randomly assigned to receive dexmedetomidine, propofol, or placebo intravenously during intensive care unit (ICU) admission (8 p.m. to 6 a.m.). The drug dosages were adjusted to achieve the Richmond Agitation Sedation Scale (RASS) of 0 to -1. The primary outcome was postoperative delirium. The secondary outcomes were postoperative complications, fentanyl consumption, and length of hospital stay.

RESULTS

108 participants were enrolled (n = 36 per group). Postoperative delirium incidences were 8.3%, 22.2%, and 5.6% in the dexmedetomidine, propofol, and placebo groups, respectively. The hazard ratios of dexmedetomidine and propofol compared with placebo were 1.49 (95% CI, 0.25, 8.95; p = 0.66) and 4.18 (95% CI, 0.88, 19.69; p = 0.07). The incidence of bradycardia was higher in the dexmedetomidine group compared with others (13.9%; p = 0.01) but not for hypotension (8.3%; p = 0.32). The median length of hospital stays (8 days, IQR: 7, 11) and fentanyl consumption (240 µg, IQR: 120, 400) were not different among groups.

CONCLUSION

This study did not successfully demonstrate the impact of nocturnal low-dose dexmedetomidine and propofol in preventing postoperative delirium among elderly patients undergoing hip fracture surgery. While not statistically significant, it is noteworthy that propofol exhibited a comparatively higher delirium rate.

HOW TO CITE THIS ARTICLE

Ekkapat G, Kampitak W, Theerasuwipakorn N, Kittipongpattana J, Engsusophon P, Phannajit J, et al. A Comparison of Efficacy between Low-dose Dexmedetomidine and Propofol for Prophylaxis of Postoperative Delirium in Elderly Patients Undergoing Hip Fracture Surgery: A Randomized Controlled Trial. Indian J Crit Care Med 2024;28(5):467-474.

Effects of gabapentin on slow-wave sleep period in critically ill adult patients: A randomized controlled trial

Sleep deprivation is a prevalent problem in critically ill patients, which leads to delayed recovery and delirium. Slow-wave sleep (SWS) is essential to energy restoration, tissue repair, and immune system strengthening. This study aimed to investigate the effects of gabapentin on SWS in critically ill patients. We performed a prospective open-label randomized controlled study to compare SWS and the clinical outcomes of gabapentin versus a control intervention in critically ill adult patients admitted to the intensive care unit (ICU) within 24 h. The patients' characteristics and sleep-related outcomes were recorded. The sleep-related outcomes, namely, bispectral analysis (BIS), the Richards-Campbell Sleep Questionnaire (RCSQ), and insulin-like growth factor-1 (IGF-1) levels, were evaluated. Furthermore, clinical outcomes and safety were assessed. Sixty patients from 348 cases were eligible for randomization. On day 3 of the study, patients in the gabapentin group had significantly increased SWS (66.79 vs. 0.00 min; p < 0.001), total sleep time (TST) (331.39 vs. 46.16 min; p = 0.001), RCSQ score (55.05 ± 20.18 vs. 32.80 ± 15.31; p < 0.001), and IGF-1 concentrations (84.33 ± 12.40 vs. 44.00 ± 10.20 ng/mL, p < 0.001) compared with the control group. Improvements in clinical outcomes, such as delirium, ICU-free days, and mechanical ventilator-free days, were observed; however, these differences did not reach statistically significant. Gabapentin at bedtime increased SWS, TST, and IGF-1 concentrations in critically ill patients. This regimen might be beneficial to critically ill patients for improving their sleep quality.

Efficacy of melatonin in decreasing the incidence of delirium in critically ill adults: a randomized controlled trial

OBJECTIVE

To determine whether enteral melatonin decreases the incidence of delirium in critically ill adults.

METHODS

In this randomized controlled trial, adults were admitted to the intensive care unit and received either usual standard care alone (Control Group) or in combination with 3mg of enteral melatonin once a day at 9 PM (Melatonin Group). Concealment of allocation was done by serially numbered opaque sealed envelopes. The intensivist assessing delirium and the investigator performing the data analysis were blinded to the group allocation. The primary outcome was the incidence of delirium within 24 hours of the intensive care unit stay. The secondary outcomes were the incidence of delirium on Days 3 and 7, intensive care unit mortality, length of intensive care unit stay, duration of mechanical ventilation and Glasgow outcome score (at discharge).

RESULTS

We included 108 patients in the final analysis, with 54 patients in each group. At 24 hours of intensive care unit stay, there was no difference in the incidence of delirium between Melatonin and Control Groups (29.6 versus 46.2%; RR = 0.6; 95%CI 0.38 - 1.05; p = 0.11). No secondary outcome showed a statistically significant difference.

CONCLUSION

Enteral melatonin 3mg is not more effective at decreasing the incidence of delirium than standard care is in critically ill adults.

Physical and Cognitive Impairment in Acute Respiratory Failure

Recent research has brought renewed attention to the multifaceted physical and cognitive dysfunction that accompanies acute respiratory failure (ARF). This state-of-the-art review provides an overview of the evidence landscape encompassing ARF-associated neuromuscular and neurocognitive impairments. Risk factors, mechanisms, assessment tools, rehabilitation strategies, approaches to ventilator liberation, and interventions to minimize post-intensive care syndrome are emphasized. The complex interrelationship between physical disability, cognitive dysfunction, and long-term patient-centered outcomes is explored. This review highlights the need for comprehensive, multidisciplinary approaches to mitigate morbidity and accelerate recovery.

Implementing pain, agitation, delirium, and sleep deprivation protocol in critically ill patients: A pilot study on pharmacological interventions

Critically ill patients frequently experience pain, agitation, delirium, and sleep deprivation, which have been linked to increased mortality and unfavorable clinical outcomes. To address these challenges, the Pain, Agitation, Delirium, and Sleep Deprivation (PADS) protocol was developed, aiming to mitigate mortality and improve clinical outcomes. This study focuses on assessing the protocol's impact using a robust before-and-after study design in the medical and surgical intensive care units (ICUs) at Ramathibodi Hospital. Using an observational approach, this study compares clinical outcomes before and after implementing the PADS protocol in the ICUs. Two patient cohorts were identified: the "before" group, comprising 254 patients with retrospective data collected between May 2018 and September 2019, and the "after" group, consisting of 255 patients for whom prospective data was collected from May to September 2020. Analysis reveals improvements in the after group. Specifically, there was a significant increase in 14-day ICU-free days (9.95 days vs. 10.40 days, p value = 0.014), a decrease in delirium incidence (18.1% vs. 16.1%, p value < 0.001), and a significant reduction in benzodiazepine usage (38.6% vs. 24.6%, p value = 0.001) within the after group. This study emphasizes the protocol's potential to improve patient care and highlights its significance in the ICU context.

Feasibility of Goal-Directed Fluid Therapy in Patients with Transcatheter Aortic Valve Replacement - An Ambispective Analysis

INTRODUCTION

Goal-directed fluid therapy (GDFT) has been shown to reduce postoperative complications. The feasibility of GDFT in transcatheter aortic valve replacement (TAVR) patients under general anesthesia has not yet been demonstrated. We examined whether GDFT could be applied in patients undergoing TAVR in general anesthesia and its impact on outcomes.

METHODS

Forty consecutive TAVR patients in the prospective intervention group with GDFT were compared to 40 retrospective TAVR patients without GDFT. Inclusion criteria were age ≥ 18 years, elective TAVR in general anesthesia, no participation in another interventional study. Exclusion criteria were lack of ability to consent study participation, pregnant or nursing patients, emergency procedures, preinterventional decubitus, tissue and/or extremity ischemia, peripheral arterial occlusive disease grade IV, atrial fibrillation or other severe heart rhythm disorder, necessity of usage of intra-aortic balloon pump. Stroke volume and stroke volume variation were determined with uncalibrated pulse contour analysis and optimized according to a predefined algorithm using 250 ml of hydroxyethyl starch.

RESULTS

Stroke volume could be increased by applying GDFT. The intervention group received more colloids and fewer crystalloids than control group. Total volume replacement did not differ. The incidence of overall complications as well as intensive care unit and hospital length of stay were comparable between both groups. GDFT was associated with a reduced incidence of delirium. Duration of anesthesia was shorter in the intervention group. Duration of the interventional procedure did not differ.

CONCLUSION

GDFT in the intervention group was associated with a reduced incidence of postinterventional delirium.

Does pain optimisation impact delirium outcomes in critically ill patients? A systematic review and meta-analysis protocol

BACKGROUND

Untreated pain is associated with short-term and long-term consequences, including post-traumatic stress disorder and insomnia. Side effects of some analgesic medications include dysphoria, hallucinations and delirium. Therefore, both untreated pain and analgesic medications may be risk factors for delirium. Delirium is associated with longer length of stay or cognitive impairment. Our systematic review and meta-analysis will examine the relationship between pain or analgesic medications with delirium occurrence, duration and severity among critically ill adults.

METHODS AND ANALYSIS

MEDLINE, EMBASE, CINAHL, the Cochrane Central Register of controlled trials and a review of recent conference abstracts will be searched without restriction from inception to 15 May 2023. Study inclusion criteria are: (1) age≥18 years admitted to intensive care; (2) report a measure of pain, analgesic medications and delirium; (3) study design-randomised controlled trial, quasiexperimental designs and observational cohort and case-control studies excluding case reports. Study exclusion criteria are: (1) alcohol withdrawal delirium or delirium tremens; or (2) general anaesthetic emergence delirium; or (3) lab or animal studies. Risk of bias will be assessed with the Risk of Bias V.2 and risk of bias in non-randomised studies tools. There is no language restriction. Occurrence estimates will be transformed using the Freeman-Tukey double arcsine. Point estimates will be pooled using Hartung-Knapp Sidik-Jonkman random effects meta-analysis to estimate a pooled risk ratio. Statistical heterogeneity will be estimated with the I2 statistic. Risk of small study effects will be assessed using funnel plots and Egger test. Studies will be analysed for time-varying and unmeasured confounding using E values.

ETHICS AND DISSEMINATION

Ethical approval is not required as this is an analysis of published aggregated data. We will share our findings at conferences and in peer-reviewed journals.

PROSPERO REGISTRATION NUMBER

The finalised protocol was submitted to the International Prospective Register of Systematic Reviews (PROSPERO ID: CRD42022367715).

There's No Place Like Home: Delirium as a Barrier in Geriatric Trauma

INTRODUCTION

Delirium is associated with a three-fold increase in frequency of 6-mo mortality following intensive care unit admission. Outside of mortality, it has been linked with severe morbidity including long-term cognitive decline, loss of autonomy, and increased risk of institutionalization. There is a paucity of literature regarding delirium and geriatric trauma patients. The aim of our study is to determine predictive factors of delirium in geriatric trauma patients.

METHODS

This is a retrospective review of all geriatric (>65 y) trauma patients with a documented frailty score at a Level I Trauma Center from 1/2019 to 9/2021. Univariate and multivariate logistic regressions were performed. Geriatric patients with delirium (D) and those without delirium (ND) were compared. Patients were excluded if they did not have a documented frailty score or died before admission.

RESULTS

One thousand three hundred and seventeen patients met criteria; 40 (3%) patients developed delirium. Neither age nor gender was different between the two groups. Frailty scores were not different between the two groups. Patients with documented delirium had a higher incidence of a positive drug screen on admission (85% versus 62.2%, P = 0.0034), higher median injury severity score (10 versus 9, P = 0.0088), and longer hospital (7 d versus 3 d, P < 0.001) and intensive care unit (1 d versus 0 d, P < 0.001) length of stay (LOS) than their ND counterparts. The D group had a higher frequency of benzodiazepine (47.5% versus 19.3%, P < 0.001) and narcotic use (77.5% versus 56.5%, P = 0.0085). Tethers nor bedrest orders were significantly associated with delirium. Incidence of urinary tract infection (12.5% versus 1%, P < 0.001) and restraint use (P < 0.001) were significantly associated with increased risk of delirium. Additionally, those with a diagnosis of delirium were more often discharged to a skilled nursing facility than those in the ND group (45% versus 30.8%, P = 0.0006).

CONCLUSIONS

We aimed to identify key predictive factors of delirium in our study population and found that certain factors correlated with higher frequencies of delirium in our geriatric trauma patients. Preadmission and early controlled substance use were significantly associated with delirium, as were the presence of urinary tract infection and extended intensive care unit LOS. By recognizing some of these modifiable factors, LOS may decrease while increasing the likelihood of discharge home.

Cerebral autoregulation-based mean arterial pressure targets and delirium in critically ill adults without brain injury: a retrospective cohort study

PURPOSE

Cerebral autoregulation (CA) is a mechanism that acts to maintain consistent cerebral perfusion across a range of blood pressures, and impaired CA is associated with delirium. Individualized CA-derived blood pressure targets are poorly characterized in critically ill patients and the association with intensive care unit (ICU) delirium is unknown. Our objectives were to characterize optimal mean arterial pressure (MAPopt) ranges in critically ill adults without brain injury and determine whether deviations from these targets contribute to ICU delirium.

METHODS

We performed a retrospective cohort analysis of patients with shock of any etiology and/or respiratory failure requiring invasive mechanical ventilation, without a neurologic admitting diagnosis. Patients were screened daily for delirium. Cerebral oximetry and mean arterial pressure data were captured for the first 24 hr from enrolment.

RESULTS

Forty-two patients with invasive blood pressure monitoring data were analyzed. Optimal mean arterial pressure targets ranged from 55 to 100 mm Hg. Optimal mean arterial pressure values were not significantly different based on history of hypertension or delirium status, and delirium was not associated with deviations from MAPopt. Nevertheless, the majority (69%) of blood pressure targets exceeded the current 65 mm Hg Surviving Sepsis guidelines.

CONCLUSION

We observed that MAPopt targets across patients were highly variable, but did not observe an association with the incidence of delirium. Studies designed to evaluate the impact on neurologic outcomes are needed to understand the association with individualized mean arterial pressure targets in the ICU.

STUDY REGISTRATION

ClinicalTrials.gov (NCT02344043); first submitted 22 January 2015.

Challenges of the Implementation of a Delirium Rate Scale in a Pediatric Intensive Care Unit: A Qualitative Approach

INTRODUCTION

Delirium in the pediatric population admitted to intensive care is a worrying reality due to its potential complications and the increase in associated costs. This study aims to explore the experiences of nursing staff of a Pediatric Intensive Care Unit after 15 months of starting a program to fight against childhood delirium in their unit.

METHODOLOGY

A qualitative study was conducted through semi-structured interviews with Pediatric Intensive Care Unit (PICU) Key Informants. The Standards for Reporting Qualitative Research (SRQR) and the consolidated criteria for Reporting Qualitative Research (COREQ) were followed as quality measures for the study. Seven nurses (33% of the eligible population) from the PICU of a referral hospital were interviewed. Text transcripts were analyzed using the Interpretative Description and Qualitative Content Analysis method.

RESULTS

The interviewees indicated not identifying delirium as an important reality; with great deficiencies observed in what is related to the identification of delirium; identifying CAPD as an unreliable tool in their unit; and not sharing therapeutic objectives in this respect with the medical staff.

CONCLUSIONS

The nursing staff presented a series of negative attitudes towards the phenomena of delirium in their unit, with gaps in training and in clinical management, and the diagnostic tool used, and did not see it as a priority objective of the unit, partly due to a resistance to change and a latent interprofessional communication conflict. A change at the formative, attitudinal, and relational levels is urgently needed for the success of the program and the well-being of the children in the unit.

Delirium in patients with COVID-19 treated in the intensive care unit

Coronavirus disease 2019 (COVID-19) can lead to acute organ dysfunction, and delirium is associated with long-term cognitive impairment and a prolonged hospital stay. This retrospective single-center study aimed to investigate the risk factors for delirium in patients with COVID-19 infection receiving treatment in an intensive care unit (ICU). A total of 111 patients aged >18 years with COVID-19 pneumonia who required oxygen therapy from February 2021 to April 2022 were included. Data on patient demographics, past medical history, disease severity, delirium, and treatment strategies during hospitalization were obtained from electronic health records. Patient characteristics and risk factors for delirium were analyzed. Old age (P < 0.001), hypertension (P < 0.001), disease severity (Sequential Organ Failure Assessment score) (P < 0.001), mechanical ventilator support (P < 0.001), neuromuscular blocker use (P < 0.001), and length of stay in the ICU (P < 0.001) showed statistically significant differences on the univariable analysis. Multivariable analysis with backward selection revealed that old age (odds ratio, 1.149; 95% confidence interval, 1.037-1.273; P = 0.008), hypertension (odds ratio, 8.651; 95% confidence interval, 1.322-56.163; P = 0.024), mechanical ventilator support (odds ratio, 226.215; 95% confidence interval, 15.780-3243.330; P < 0.001), and length of stay in the ICU (odds ratio, 30.295; 95% confidence interval, 2.539-361.406; P = 0.007) were significant risk factors for delirium. In conclusion, old age, ICU stay, hypertension, mechanical ventilator support, and neuromuscular blocker use were predictive factors for delirium in COVID-19 patients in the ICU. The study findings suggest the need for predicting the occurrence of delirium in advance and preventing and treating delirium.

Intensive care unit nurses' perception of three different methods for delirium screening: A survey (DELIS-3)

BACKGROUND

Delirium is common in critically ill patients with detrimental effects in terms of increased morbidity, mortality, costs, and human suffering. Delirium detection and management depends on systematic screening for delirium, which can be challenging to implement in clinical practice.

OBJECTIVES

The aim of this study was to explore how nurses in the intensive care unit perceived the use of Confusion Assessment Method for the Intensive Care Unit (CAM-ICU), the Confusion Assessment Method for the Intensive Care Unit-7 (CAM-ICU-7), and Intensive Care Delirium Screening Checklist (ICDSC) for delirium screening of patients in the intensive care unit.

METHODS

This was a cross-sectional, electronic-based survey of nurses' perceptions of delirium screening with the three different instruments for delirium screening. Nurses were asked to grade their perception of the usability of the three instruments and how well they were perceived to detect delirium and delirium symptom changes on a 1- to 6-point Likert scale. Open questions about perceived advantages and disadvantages of each instrument were analysed using the framework method.

RESULTS

One hundred twenty-seven of 167 invited nurses completed the survey and rated the CAM-ICU-7 as faster and easier than the ICDSC, which was more nuanced and reflected changes in the patient's delirium better. Despite being rated as the fastest, easiest, and most used, the CAM-ICU provided less information and was considered inferior to the CAM-ICU-7 and ICDSC. Using familiar instruments made delirium screening easier, but being able to grade and nuance the delirium assessment was experienced as important for clinical practice.

CONCLUSIONS

Both the ICDSC and the CAM-ICU-7 were perceived well suited for detection of delirium and reflected changes in delirium intensity. The CAM-ICU was rated as fast and easy but inferior in its ability to grade and nuance the assessment of delirium. Emphasis on clinical meaningfulness and continued education in delirium screening are necessary for adherence to delirium management guidelines.

A protocol of an international validation study to assess the clinical accuracy of the eDIS-ICU delirium screening tool

BACKGROUND

Delirium is a common, yet underdiagnosed neuropsychiatric complication of intensive care unit (ICU) admission, associated with significant mortality and morbidity. Delirium can be difficult to diagnose, with gold standard assessments by a trained specialist being impractical and rarely performed. To address this, various tools have been developed, enabling bedside clinicians to assess for delirium efficiently and accurately. However, the performance of these tools varies depending on factors including the assessor's training. To address the shortcomings of current tools, electronic tools have been developed.

AIMS AND OBJECTIVES

The aims of this validation study are to assess the feasibility, acceptability, and generalisability of a recently developed and pilot-tested electronic delirium screening tool (eDIS-ICU) and compare diagnostic concordance, sensitivity, and specificity between eDIS-ICU, Confusion Assessment Method for the ICU (CAM-ICU), and the Diagnostic and Statistical Manual of Mental Disorders - 5th edition (DSM-V) gold standard in diverse ICU settings.

METHODS

Seven hundred participants will be recruited across five sites in three countries. Participants will complete three assessments (eDIS-ICU, CAM-ICU, and DSM-V) twice within one 24-h period. At each time point, assessments will be completed within one hour. Assessments will be administered by three different people at any given time point, with the assessment order and assessor for eDIS-ICU and CAM-ICU randomly allocated. Assessors will be blinded to previous and concurrent assessment results.

RESULTS

The primary outcome is comparing diagnostic sensitivity of eDIS-ICU and CAM-ICU against the DSM-V.

RELEVANCE TO CLINICAL PRACTICE

This protocol describes a definitive validation study of an electronic diagnostic tool to assess for delirium in the ICU. Delirium remains a common and difficult challenge in the ICU and is linked with multiple neurocognitive sequelae. Various challenges to routine assessment mean many cases are still unrecognised or misdiagnosed. An improved ability for bedside clinicians to screen for delirium accurately and efficiently will support earlier diagnosis, identification of underlying cause(s) and timely treatments, and ultimately improved patient outcomes.

CLINICAL TRIAL REGISTRATION NUMBER

This study was prospectively registered on the Australian New Zealand Clinical Trials Registry (ANZCTR) on 8th February 2022 (ACTRN12622000220763).

Biomarkers of alcohol abuse potentially predict delirium, delirium duration and mortality in critically ill patients

Carbohydrate-deficient transferrin (CDT) and the γ-glutamyltransferase-CDT derived Anttila-Index are established biomarkers for sustained heavy alcohol consumption and their potential role to predict delirium and mortality in critically ill patients is not clear. In our prospective observational study, we included 343 consecutive patients admitted to our ICU, assessed the occurrence of delirium and investigated its association with biomarkers of alcohol abuse measured on the day of ICU admission. 35% of patients developed delirium during ICU stay. We found significantly higher CDT levels (p = 0.011) and Anttila-Index (p = 0.001) in patients with delirium. CDT above 1.7% (OR 2.06), CDT per percent increase (OR 1.26, AUROC 0.75), and Anttila-Index per unit increase (OR 1.28, AUROC 0.74) were associated with delirium development in adjusted regression models. Anttila-Index and CDT also correlated with delirium duration exceeding 5 days. Additionally, Anttila-Index above 4, Anttila-Index per unit increase, and CDT per percent increase were independently associated with hospital mortality.

Subsyndromal Delirium in Critically Ill Patients-Cognitive and Functional Long-Term Outcomes

Subsyndromal delirium (SSD) in the Intensive Care Unit (ICU) is associated with an increased morbidity with unknown post-discharge functional and cognitive outcomes. We performed a prospective multicenter study to analyze the mental status of patients during their first 72 h after ICU admission and its trajectory, with follow-ups at 3 and 6 months after hospital discharge. Amongst the 106 included patients, SSD occurred in 24.5% (n = 26) and was associated with the duration of mechanical ventilation (p = 0.003) and the length of the ICU stay (p = 0.002). After the initial 72 h, most of the SSD patients (30.8%) improved and no longer had SSD; 19.2% continued to experience SSD and one patient (3.8%) progressed to delirium. The post-hospital discharge survival rate for the SSD patients was 100% at 3 months and 87.5% at 6 months. At admission, 96.2% of the SSD patients were fully independent in daily living activities, 66.7% at 3-month follow-up, and 100% at 6-month follow-up. Most SSD patients demonstrated a cognitive decline from admission to 3-month follow-up and improved at 6 months (IQCODE-SF: admission 3.13, p < 0.001; 3 months 3.41, p = 0.019; 6 months 3.19, p = 0.194). We concluded that early SSD is associated with worse outcomes, mainly a transitory cognitive decline after hospital discharge at 3 months, with an improvement at 6 months. This highlights the need to prevent and identify this condition during ICU stays.

Bispectral EEG (BSEEG) Algorithm Captures High Mortality Risk Among 1,077 Patients: Its Relationship to Delirium Motor Subtype

OBJECTIVE

Delirium is dangerous and a predictor of poor patient outcomes. We have previously reported the utility of the bispectral EEG (BSEEG) with a novel algorithm for the detection of delirium and prediction of patient outcomes including mortality. The present study employed a normalized BSEEG (nBSEEG) score to integrate the previous cohorts to combine their data to investigate the prediction of patient outcomes. We also aimed to test if the BSEEG method can be applicable regardless of age, and independent of delirium motor subtypes.

METHODS

We calculated nBSEEG score from raw BSEEG data in each cohort and classified patients into BSEEG-positive and BSEEG-negative groups. We used log-rank test and Cox proportional hazards models to predict 90-day and 1-year outcomes for the BSEEG-positive and -negative groups in all subjects and motor subgroups.

RESULTS

A total of 1,077 subjects, the BSEEG-positive group showed significantly higher 90-day (hazard ratio 1.33 [95% CI 1.16-1.52] and 1-year (hazard ratio 1.22 [95% CI 1.06-1.40] mortality rates than the negative group after adjustment for covariates such as age, sex, CCI, and delirium status. Among patients with different motor subtypes of delirium, the hypoactive group showed significantly higher 90-day (hazard ratio 1.41 [95% CI 1.12-1.76] and 1-year mortality rates (hazard ratio 1.32 [95% CI 1.05-1.67], which remained significant after adjustment for the same covariates.

CONCLUSION

We found that the BSEEG method is capable of capturing patients at high mortality risk.

Effects of non-pharmacologic prevention on delirium in critically ill patients: A network meta-analysis

BACKGROUND

Delirium is a common complication among patients in the intensive care unit (ICU). It is important to prevent the occurrence of delirium in critically ill patients.

AIM

This review aimed to evaluate the efficacy of non-pharmacological interventions and determine what combination of these is effective in preventing delirium among Intensive Care Unit patients.

STUDY DESIGN

A systematic review and meta-analysis. This review follows the guidelines of the Preferred Reporting Items for Systematic reviews and Meta Analysis statements for Network Meta-Analysis (PRISMA-NMA). Data sources included the Cumulative Index to Nursing & Allied Health Literature., MEDLINE, and Cochrane library databases. The integrated data were investigated with odds ratio (OR) and 95% confidence interval (95% CI), using the random-effects Mantel-Haenszel model. Data were considered significant when p < 0.05. Furthermore, to reveal what combination of care is effective, we performed a network meta-analysis estimated OR, 95% CI.

RESULTS

We identified three randomized controlled trials and eight controlled before-after trials (11 in total, with 2549 participants). The pooled data from 11 trials of multicomponent intervention had a significant effect on delirium prevention (OR 0.58, 95% CI 0.44-0.76, p < 0.001). As a result of network meta-analysis, two bundles were effective compared to the control group in reducing the incidence of delirium: a) the combination of sleep promotion (SP), cognitive stimulation (CS), early mobilization (EM), pain control (PC), and assessment (AS) (OR 0.47, 95% CI 0.35-0.64, p < 0.002), and b) the combination of SP and CS (OR 0.46, 95% CI 0.28-0.75, p < 0.001).

CONCLUSION

This study revealed that non-pharmacological interventions, particularly multicomponent interventions, helped to prevent delirium in critically ill patients. In the network meta-analysis, the most effective care combination for reducing incidence of delirium was found to be multicomponent intervention, which comprises SP-CS-EM-PC-AS, and SP-CS.

RELEVANCE TO CLINICAL PRACTICE

These findings reveal an efficient combination of multicomponent interventions for preventing delirium, which may be a very important prerequisite in planning care programs in the future.

Geriatric nutritional risk index was associated with in-hospital mortality among cardiac intensive care unit patients

Background

Identifying risk factors associated with cardiac intensive care unit (CICU) patients' prognosis can help clinicians intervene earlier and thus improve their prognosis. The correlation between the geriatric nutrition risk index (GNRI), which reflects nutritional status, and in-hospital mortality among CICU patients has yet to be established.

Method

The present study retrospectively enrolled 4,698 CICU patients. Based on the nutritional status, the participants were categorized into four groups. The primary endpoint was in-hospital mortality. The length of hospital stay and length of CICU stay were the secondary endpoints. To explore the correlation between nutritional status and in-hospital mortality, a logistic regression analysis was conducted. The nonlinear associations of GNRI with in-hospital mortality were evaluated using restricted cubic spline (RCS). Furthermore, subgroup analyses were conducted to evaluate the effect of the GNRI on in-hospital mortality across different subgroups, with calculation of the p for interaction.

Result

A higher risk of malnutrition was significantly linked to an increased incidence of in-hospital mortality (High risk vs. No risk: 26.2% vs. 4.6%, p < 0.001), as well as a longer length of hospital stay (High risk vs. No risk: 15.7, 9.1-25.1 vs. 8.9, 6.9-12.9, p < 0.001) and CICU stay (High risk vs. No risk: 6.4, 3.8-11.9 vs. 3.2, 2.3-5.1, p < 0.001). An elevated GNRI was significantly associated with an increased risk of in-hospital mortality even after controlling for pertinent confounding factors (High risk vs. No risk: OR, 95% CI: 2.37, 1.67-3.37, p < 0.001, p for trend <0.001). Additionally, the RCS model showed a linear relationship between GNRI and in-hospital mortality, with the risk of in-hospital mortality significantly decreasing as GNRI increased (non-linear p = 0.596). Furthermore, in the subgroups of hypertension, ventricular arrhythmias, cardiac arrest, shock, and chronic kidney disease, there was a significant interaction between nutritional status and in-hospital mortality.

Conclusion

Among CICU patients, a low GNRI was a significant predictor of in-hospital mortality. Furthermore, patients with a higher risk of malnutrition, as indicated by low GNRI values, experienced significantly longer hospital and CICU stays.

Incidence of Delirium in Critically Ill Patients With and Without COVID-19

BACKGROUND

It is known that patients with COVID-19 are at high risk of developing delirium. The aim of the study was to compare the incidence of delirium between critically ill patients with and without a diagnosis of COVID-19.

METHODS

This is a retrospective study conducted in a southern Brazilian hospital from March 2020 to January 2021. Patients were divided into two groups: the COVID-19 group consisted of patients with a diagnosis of COVID-19 confirmed by reverse transcription-polymerase chain reaction (RT-PCR) or serological tests who were admitted to specific ICUs. The non-COVID-19 group consisted of patients with other surgical and medical diagnoses who were admitted to non-COVID ICUs. All patients were evaluated daily using the Intensive Care Delirium Screening Checklist (ICDSC). The two cohorts were compared in terms of the diagnosis of delirium.

RESULTS

Of the 649 patients who remained more than 48 h in the ICU, 523 were eligible for the study (COVID-19 group: 292, non-COVID-19 group: 231). There were 119 (22.7%) patients who had at least one episode of delirium, including 96 (32.9%) in the COVID-19 group and 23 (10.0%) in the non-COVID-19 group (odds ratio [OR] 4.42; 95% confidence interval [CI], 2.69 to 7.26; p < 0.001). Among patients mechanically ventilated for two days or more, the incidence of delirium did not differ between groups (COVID-19: 89/211, 42.1% vs non-COVID-19: 19/47, 40.4%; p  =  0.82). Logistic regression showed that the duration of mechanical ventilation was the only independent factor associated with delirium (p  =  0.001).

CONCLUSION

COVID-19 can be associated with a higher incidence of delirium among critically ill patients, but there was no difference in this incidence between groups when mechanical ventilation lasted two days or more.

Melatonin intervention to prevent delirium in the intensive care units: a systematic review and meta-analysis of randomized controlled trials

Objective

To determine the preventive effect of melatonin on delirium in the intensive care units.

Methods

We conducted a systematic search of the PubMed, Cochrane Library, Science, Embase, and CNKI databases, with retrieval dates ranging from the databases' inception to September 2022. Controlled trials on melatonin and placebo for preventing delirium in the intensive care units were included. The meta-analysis was performed using Review Manager software (version 5.3) and Stata software (version 14.0).

Results

Six studies involving 2374 patients were included in the meta-analysis. The results of the meta-analysis showed that melatonin did not reduce the incidence of delirium in ICU patients (odds ratio [OR]: 0.71; 95% confidence interval [CI]: 0.46 to 1.12; p = 0.14). There was a strong hetero-geneity between the selected studies (I2 = 74%). Subgroup analysis results showed that melatonin reduced the incidence of delirium in cardiovascular care unit (CCU) patients (OR: 0.52; 95% CI: 0.37 to 0.73; p=0.0001), but did not in general intensive care unit (GICU) patients (OR: 1.14; 95% CI: 0.86 to 1.50; p=0.35). In terms of the secondary outcomes, there were no significant differences in all-cause mortality (OR: 0.85; 95% CI: 0.66 to 1.09; p=0.20), length of ICU stay (mean difference [MD]: 0.33; 95% CI: -0.53 to 1.18; p=0.45), or length of hospital stay (MD: 0.51; 95% CI: -1.17 to 2.19; p=0.55).

Conclusion

Melatonin reduced the incidence of delirium in CCU patients, but did not significantly reduce the incidence of delirium in GICU patients.

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/, identifier CRD42022367665.

Thinking Clearly: The History of Brain Dysfunction in Critical Illness

Brain dysfunction during critical illness (ie, delirium and coma) is extremely common, and its lasting effect has only become increasingly understood in the last two decades. Brain dysfunction in the intensive care unit (ICU) is an independent predictor of both increased mortality and long-term impairments in cognition among survivors. As critical care medicine has grown, important insights regarding brain dysfunction in the ICU have shaped our practice including the importance of light sedation and the avoidance of deliriogenic drugs such as benzodiazepines. Best practices are now strategically incorporated in targeted bundles of care like the ICU Liberation Campaign's ABCDEF Bundle.

Diagnostic Yield of Combined Lumbar Puncture and Brain MRI in Critically Ill Patients With Unexplained Acute Encephalopathy: A Retrospective Cohort Study

Critically ill patients frequently experience acute encephalopathy, often colloquially termed "altered mental status" (AMS); however, there are no consensus guidelines or criteria about performing lumbar puncture (LP) and advanced neuroimaging in medical ICU patients with unexplained encephalopathy.

OBJECTIVES

We sought to characterize the yield of combined LP and brain MRI (bMRI) in such patients as determined by both the frequency of abnormal results and the therapeutic efficacy of these investigations, that is, how often results changed management.

DESIGN SETTING AND PARTICIPANTS

Retrospective cohort study of medical ICU patients admitted to a tertiary academic center between 2012 and 2018 who had documented diagnoses of "AMS" and/or synonymous terms, no clear etiology of encephalopathy, and had undergone both LP and bMRI.

MAIN OUTCOMES AND MEASURES

The primary outcome was the frequency of abnormal diagnostic testing results determined objectively for LP using cerebrospinal fluid (CSF) findings and subjectively for bMRI through team agreement on imaging findings deemed significant through retrospective chart review. We subjectively determined the frequency of therapeutic efficacy. Finally, we analyzed the effect of other clinical variables on the likelihood of discovering abnormal CSF and bMRI findings through chi-square tests and multivariate logistic regression.

RESULTS

One hundred four patients met inclusion criteria. Fifty patients (48.1%) had an abnormal CSF profile or definitive microbiological or cytological data by LP, 44 patients (42.3%) had bMRI with significant abnormal findings, and 74 patients (71.2%) had abnormal results on at least one of these investigations. Few clinical variables were associated with the abnormal findings in either investigation. We judged 24.0% (25/104) of bMRI and 26.0% (27/104) of LPs to have therapeutic efficacy with moderate interobserver reliability.

CONCLUSIONS

Determining when to perform combined LP and bMRI in ICU patients with unexplained acute encephalopathy must rely on clinical judgment. These investigations have a reasonable yield in this selected population.

S100B as a predictor of delirium in critically ill obstetric patients: A nested case-control study

Background

Delirium is a neuropsychiatric illness that lasts for a short period of time. The incidence of delirium in the intensive care unit (ICU) varies from 20% to 80%.

Methods

A nested case-control study was carried out in the obstetric ICU. Individuals were divided into three groups: critically ill obstetric women who had delirium on admission (Group A), women who developed delirium within follow-up of 7 days (Group B), and women who did not develop delirium after follow-up of 7 days (Group C). The APACHE II score was used to assess critical illness severity. The Richmond Agitation-Sedation Scale was used to assess the alertness or sedation level of patients, and the Confusion Assessment Method (ICU scale) was used to assess the presence of delirium. S100B was measured by human S100B calcium-binding protein B ELISA kit (Elabscience Biotechnology, Houston, USA).

Results

Severe preeclampsia and antepartum eclampsia were significantly associated with delirium. S100B levels in Group B were found to be significantly higher than those in Group C. S100B levels were higher in patients with >2 morbidities in comparison to patients with two morbidities. At a cutoff value of >169.25 pg/ml, S100B had a sensitivity of 74% and a specificity of 87.2% to discriminate cases of delirium from nondelirium.

Conclusion

The rise in S100B levels was approximately three times greater in those who developed delirium as compared to those who did not. It is a more specific predictor of delirium.

Delirium as a Risk Factor for Mortality in Critically Ill Patients With Cancer

PURPOSE

Although delirium is known to negatively affect critically ill patients, little data exist on delirium in critically ill patients with cancer.

METHODS

We analyzed 915 critically ill patients with cancer between January and December 2018. Delirium screening was performed using the Confusion Assessment Method for the intensive care unit (ICU), performed twice daily. Confusion Assessment Method-ICU incorporates four features of delirium: acute fluctuations in mental status, inattention, disorganized thinking, and altered levels of consciousness. Multivariable analysis controlling for admitting service, pre-ICU hospital length of stay (LOS), metastatic disease, CNS involvement, Mortality Probability Model II score on ICU admission, mechanical ventilation, and others was performed to determine precipitating factors for delirium, ICU, and hospital mortality and LOS.

RESULTS

Delirium occurred in 40.5% (n = 317) of patients; 43.8% (n = 401) were female; the median age was 64.9 (interquartile range, 54.6-73.2) years; 70.8% (n = 647) were White, 9.3% (n = 85) were Black, and 8.9% (n = 81) were Asian. The most common cancer types were hematologic (25.7%, n = 244) and gastrointestinal (20.9%, n = 191). Delirium was independently associated with age (OR, 1.01; 95% CI, 1.00 to 1.02; P = .038), longer pre-ICU hospital LOS (OR, 1.04; 95% CI, 1.02 to 1.06; P < .001), not resuscitating on admission (OR, 2.18; 95% CI, 1.07 to 4.44; P = .032), CNS involvement (OR, 2.25; 95% CI, 1.20 to 4.20; P = .011), higher Mortality Probability Model II score (OR, 1.02; 95% CI, 1.01 to 1.02; P < .001), mechanical ventilation (OR, 2.67; 95% CI, 1.84 to 3.87; P < .001), and sepsis diagnosis (OR, 0.65; 95% CI, 0.43 to 0.99; P = .046). Delirium was also independently associated with higher ICU mortality (OR, 10.75; 95% CI, 5.91 to 19.55; P < .001), hospital mortality (OR, 5.84; 95% CI, 4.03 to 8.46; P < .001), and ICU LOS (estimate, 1.67; 95% CI, 1.54 to 1.81; P < .001).

CONCLUSION

Delirium significantly worsens outcome in critically ill patients with cancer. Delirium screening and management should be integrated into the care of this patient subgroup.

Incidence Rate and Factors Associated with Delirium and Subsyndromal Delirium in Patients with COVID-19 in an Intensive Care Unit

BACKGROUND

Delirium subsyndrome (SSD) and delirium (DL) are known complications in the intensive care unit (ICU) and are associated with worse clinical outcomes. The aim of this study was to screen for SSD and DL in individuals with COVID-19 admitted to the ICU and to study the associated factors and clinical outcomes.

METHOD

An observational, longitudinal study was conducted in the reference ICU for COVID-19. All admitted individuals with COVID-19 were screened for SSD and DL during their ICU stay using the Intensive Care Delirium Screening Checklist (ICDSC). Individuals with SSD and/or DL were compared to those without SSD and/or DL.

RESULTS

Ninety-three patients were evaluated, of which 46.7% had SSD and/or DL. The incidence rate was 4.17 cases/100 person-days. Individuals with SSD and/or DL had higher severity of illness on admission to the ICU, as measured by the APACHE II score (median 16 versus 8 points, p < 0.001). SSD and/or DL were associated with longer ICU and hospital stays (median 19 versus 6 days, p < 0.001 and median 22 versus 7 days, p < 0.001, respectively).

CONCLUSION

Individuals with SSD and/or DL had greater disease severity and longer ICU and hospital stays when compared to those without SSD and/or DL. This reinforces the importance of screening for consciousness disorders in the ICU.

Delirium in ventilated patients receiving fentanyl and morphine for Analgosedation: Findings from the ANALGESIC trial

PURPOSE

The differential effect of fentanyl vs. morphine analgosedation on the development of hospital inpatient delirium in patients receiving mechanical ventilation is unknown. We aimed to compare the incidence of coding for delirium and antipsychotic medication use in patients treated with fentanyl vs. morphine in the ANALGESIC trial.

MATERIALS AND METHODS

We obtained data from a cluster randomized, cluster crossover trial of fentanyl vs. morphine for analgosedation on antipsychotic use and coding diagnosis of delirium and compared these outcomes according to treatment allocation. We assessed the relationship between opioid choice and dose, hospital inpatient delirium, and outcomes.

RESULTS

Among 681 patients enrolled in the ANALGESIC trial, 160/344 (46.5%) in the fentanyl group vs. 132/337 (39.1%) in the morphine group (absolute difference 7.34% [95% CI -0.9 to 14.78]; RR: 1.19 [95%CI 1.00 to 1.41]; p = 0.053) developed hospital inpatient delirium. Antipsychotic use was linearly related to opioid dose. Antipsychotic use was not associated with increased mortality.

CONCLUSIONS

Fentanyl is associated with a higher incidence of hospital inpatient delirium when used for analgosedation compared with morphine, and the dose of opioid is linearly related to the need for antipsychotic medication administration. The role of analgosedation in promoting delirium requires further investigation.

Correlation of C-reactive Protein with Delirium in Obstetrics Intensive Care Unit: A Tertiary Center Experience

Background

Delirium is a neuropsychiatric illness. It affects critically ill patients on ventilator and increases mortality. The aim of this study was to evaluate the association of C-reactive protein (CRP) level with delirium in critically obstetrics women and its role in prediction of delirium.

Materials and methods

Arospective observational study was conducted in the intensive care unit (ICU), and the duration of study was one year. Total 145 subjects were recruited, 33 patients were excluded, and 112 subjects were studied. For study, group A (n = 36) includes critically ill obstetric women who had delirium on admission; group B (n = 37) includes critically ill obstetric women who developed delirium within 7 days; and group C (n = 39) that includes critically ill obstetric women who did not develop delirium after follow-up of 7 days was served as control. Disease severity was assessed by using acute physiologic assessment and chronic health evaluation (APACHE) II score, and Richmond Agitation-Sedation Scale (RASS) was used to assess awakeness. In awake patients (RASS of ≥3), delirium was assessed by the use of confusion assessment method for ICU tools. C-reactive protein measured by particle enhanced turbidimetric immunoassay-two point kinetic method.

Results

The mean ages of group A, B, and C were 26.44 ± 4.72, 27.46 ± 4.97, and 28.26 ± 5.67 years, respectively. C-reactive protein levels on the day of delirium development (group B) were found to be significantly higher than day 1 CRP levels of groups A and C. The mean Global Attentiveness Rating (GAR) was significantly lower in groups A and B as compared to that in group C (p < 0.001). On evaluating the correlation of CRP with GAR, it was found to be inverse and mild in strength for the correlation between CRP and GAR (r = -0.403, p < 0.001). At a cut-off value of >181 mg/L, CRP had sensitivity of 93.2% and specificity of 69.2%. The positive predictive value was 85% and the negative predictive value was 84.4% that differentiate delirium from non-delirium.

Conclusion

C-reactive protein is a useful tool for screening and prediction of delirium in critically ill obstetric patients.

How to cite this article

Shyam R, Patel ML, Solanki M, Sachan R, Ali W. Correlation of C-reactive Protein with Delirium in Obstetrics Intensive Care Unit: A Tertiary Center Experience. Indian J Crit Care Med 2023;27(5):315-321.

Delirium in the intensive care unit and its importance in the post-operative context: A review

The burden of delirium in the intensive care setting is a global priority. Delirium affects up to 80% of patients in intensive care units; an episode of delirium is often distressing to patients and their families, and delirium in patients within, or outside of, the intensive care unit (ICU) setting is associated with poor outcomes. In the short term, such poor outcomes include longer stay in intensive care, longer hospital stay, increased risk of other hospital-acquired complications, and increased risk of hospital mortality. Longer term sequelae include cognitive impairment and functional dependency. While medical category of admission may be a risk factor for poor outcomes in critical care populations, outcomes for surgical ICU admissions are also poor, with dependency at hospital discharge exceeding 30% and increased risk of in-hospital mortality, particularly in vulnerable groups, with high-risk procedures, and resource-scarce settings. A practical approach to delirium prevention and management in the ICU setting is likely to require a multi-faceted approach. Given the good evidence for the prevention of delirium among older post-operative outside of the intensive care setting, simple non-pharmacological interventions should be effective among older adults post-operatively who are cared for in the intensive care setting. In response to this, the future ICU environment will have a range of organizational and distinct environmental characteristics that are directly targeted at preventing delirium.