Preventing delirium in the intensive care unit

Reducing Opioid Use in Patients Undergoing Cardiac Surgery - Preoperative, Intraoperative, and Critical Care Strategies

Patients undergoing cardiothoracic surgery are exposed to opioids in the operating room and intensive care unit and after hospital discharge. Opportunities exist to reduce perioperative opioid use at all stages of care and include alternative oral and intravenous medications, novel intraoperative regional anesthetic techniques, and postoperative opioid-sparing sedative and analgesic strategies. In this review, currently used and investigational strategies to reduce the opioid burden for cardiothoracic surgical patients are explored.

An Arabic Translation, Reliability, Validity, and Feasibility of the Richards-Campbell Sleep Questionnaire for Sleep Quality Assessment in ICU: Prospective-Repeated Assessments

BACKGROUND AND PURPOSE

To translate Richards-Campbell Sleep Questionnaire (RCSQ) into the Arabic language (RCSQ-A), to assess content validity of the translated tool, to analyze the internal consistency, and to evaluate its feasibility.

METHODS

A rigorous translation was completed using the process of translation by World Health Organization. Cognitive debriefing interviews were performed. Repeated assessments using RCSQ-A was conducted in critical care patients in Saudi Arabia.

RESULT

Cronbach's alpha of .89 was seen in the RCSQ-A. The cognitive interviews showed that the RCSQ-A well understood and interpreted correctly and consistently. Fifty-seven participants reported their sleep using RCSQ-A a total of 110 times.

CONCLUSION

RCSQ-A has adequate translation validity, provided good internal consistency and content validity, making it suitable for use as a measurement tool in practice and research in Arabic-speaking countries.

Development and validation of delirium prediction model for critically ill adults parameterized to ICU admission acuity

Background

Risk prediction models allow clinicians to forecast which individuals are at a higher risk for developing a particular outcome. We developed and internally validated a delirium prediction model for incident delirium parameterized to patient ICU admission acuity.

Methods

This retrospective, observational, fourteen medical-surgical ICU cohort study evaluated consecutive delirium-free adults surviving hospital stay with ICU length of stay (LOS) greater than or equal to 24 hours with both an admission APACHE II score and an admission type (e.g., elective post-surgery, emergency post-surgery, non-surgical) in whom delirium was assessed using the Intensive Care Delirium Screening Checklist (ICDSC). Risk factors included in the model were readily available in electric medical records. Least absolute shrinkage and selection operator logistic (LASSO) regression was used for model development. Discrimination was determined using area under the receiver operating characteristic curve (AUC). Internal validation was performed by cross-validation. Predictive performance was determined using measures of accuracy and clinical utility was assessed by decision-curve analysis.

Results

A total of 8,878 patients were included. Delirium incidence was 49.9% (n = 4,431). The delirium prediction model was parameterized to seven patient cohorts, admission type (3 cohorts) or mean quartile APACHE II score (4 cohorts). All parameterized cohort models were well calibrated. The AUC ranged from 0.67 to 0.78 (95% confidence intervals [CI] ranged from 0.63 to 0.79). Model accuracy varied across admission types; sensitivity ranged from 53.2% to 63.9% while specificity ranged from 69.0% to 74.6%. Across mean quartile APACHE II scores, sensitivity ranged from 58.2% to 59.7% while specificity ranged from 70.1% to 73.6%. The clinical utility of the parameterized cohort prediction model to predict and prevent incident delirium was greater than preventing incident delirium by treating all or none of the patients.

Conclusions

Our results support external validation of a prediction model parameterized to patient ICU admission acuity to predict a patients’ risk for ICU delirium. Classification of patients’ risk for ICU delirium by admission acuity may allow for efficient initiation of prevention measures based on individual risk profiles.

Therapeutic options for agitation in the intensive care unit

Agitation is common in the intensive care unit (ICU). There are numerous contributing factors, including pain, underlying disease, withdrawal syndrome, delirium and some medication. Agitation can compromise patient safety through accidental removal of tubes and catheters, prolong the duration of stay in the ICU, and may be related to various complications. This review aims to analyse evidence-based medical literature to improve management of agitation and to consider pharmacological strategies. The non-pharmacological approach is considered to reduce the risk of agitation. Pharmacological treatment of agitated patients is detailed and is based on a judicious choice of neuroleptics, benzodiazepines and α2 agonists, and on whether a withdrawal syndrome is identified. Specific management of agitation in elderly patients, brain-injured patients and patients with sleep deprivation are also discussed. This review proposes a practical approach for managing agitation in the ICU.

Association between delirium in the intensive care unit and subsequent neuropsychiatric disorders

Background

Patients in the intensive care unit (ICU) are known to be at increased risk of developing delirium, but the risk of subsequent neuropsychiatric disorders is unclear. We therefore sought to examine the association between the presence of delirium in the ICU and incident neuropsychiatric disorders (including depressive, anxiety, trauma-and-stressor-related, and neurocognitive disorders) post-ICU stay among adult medical-surgical ICU patients.

Methods

Retrospective cohort study utilizing clinical and administrative data from both inpatient and outpatient healthcare visits to identify the ICU cohort and diagnostic information 5 years prior to and 1 year post-ICU stay. Patients ≥ 18 years of age admitted to one of 14 medical-surgical ICUs across Alberta, Canada, January 1, 2014–June 30, 2016, and survived to hospital discharge were included. The main outcome of interest was a new diagnosis of any neuropsychiatric disorder 1 year post-ICU stay. The exposure variable was delirium during the ICU stay identified through any positive delirium screen by the Intensive Care Unit Delirium Screening Checklist (ICDSC) during the ICU stay.

Results

Of 16,005 unique patients with at least one ICU admission, 4033 patients were included in the study of which 1792 (44%) experienced delirium during their ICU stay. The overall cumulative incidence of any neuropsychiatric disorder during the subsequent year was 19.7% for ICU patients. After adjusting for hospital characteristics using log-binomial regression, patients with delirium during the ICU stay had a risk ratio (RR) of 1.14 (95% confidence interval [CI] 0.98–1.33) of developing any neuropsychiatric disorder within 1 year post-ICU compared to those who did not experience delirium. Delirium was significantly associated with neurocognitive disorders (RR 1.59, 95% CI 1.08–2.35), but not depressive disorders (RR 1.16, 95% CI 0.92–1.45), anxiety (RR 1.16, 95% CI 0.92–1.47), and trauma-and-stressor-related (RR 0.82, 95% CI 0.53–1.28) disorders.

Conclusions

The diagnosis of new onset of neurocognitive disorders is associated with ICU-acquired delirium. In this study, significant associations were not observed for depressive, anxiety, and trauma-and-stressor-related disorders.

Delirium risk prediction models for intensive care unit patients: A systematic review

OBJECTIVE

To systematically review the delirium risk prediction models for intensive care unit (ICU) patients.

METHODS

A systematic review was conducted. The Cochrane Library, PubMed, Ovid and Web of Science were searched to collect studies on delirium risk prediction models for ICU patients from database establishment to 31 March 2019. Two reviewers independently screened the literature according to the pre-determined inclusion and exclusion criteria, extracted the data and evaluated the risk of bias of the included studies using the CHARMS (CHecklist for critical Appraisal and data extraction for systematic Reviews of prediction Modelling Studies) checklist. A descriptive analysis was used to describe and summarise the data.

RESULTS

A total of six models were included. All studies reported the area under the receiver operating characteristic curve (AUROC) of the prediction models in the derivation and (or) validation datasets as over 0.7 (from 0.75 to 0.9). Five models reported calibration metrics. Decreased cognitive reserve and the Acute Physiology and Chronic Health Evaluation II (APACHE-II) score were the most commonly reported predisposing and precipitating factors, respectively, of ICU delirium among all models. The small sample size, lack of external validation and the absence of or unreported blinding method increased the risk of bias.

CONCLUSION

According to the discrimination and calibration statistics reported in the original studies, six prediction models may have moderate power in predicting ICU delirium. However, this finding should be interpreted with caution due to the risk of bias in the included studies. More clinical studies should be carried out to validate whether these tools have satisfactory predictive performance in delirium risk prediction for ICU patients.

Improving the Intensive Care Patient Experience With Virtual Reality-A Feasibility Study

Supplemental Digital Content is available in the text.

Objectives:

Patients’ stays in the ICU are often characterized by prolonged immobility, sedation, disrupted sleep, and extended periods of pain, which put ICU patients at greater risk for ICU-acquired weakness and delirium-related mortality. The aim of this study was to evaluate the feasibility and efficacy of using meditative virtual reality to improve the hospital experience of ICU patients.

Design:

Final report of prospective observational trial.

Setting:

Surgical and trauma ICUs of the University of Florida Health, an academic hospital.

Patients:

Fifty-nine nonintubated adult ICU patients without delirium at recruitment.

Interventions:

Patients were exposed to sessions of commercially available meditative virtual reality applications focused on calmness and relaxation, performed once daily for up to 7 days.

Measurements and Main Results:

Outcome measures included pain level, pain medication administration, anxiety, depression, sleep quality, heart rate, respiratory rate, blood pressure, delirium status, and patient ratings of the virtual reality system. Comparisons were made using paired t tests and mixed models. The virtual reality meditative intervention improved patients’ ICU experience with reduced levels of anxiety and depression; however, there was no evidence that virtual reality had significant effects on physiologic measures, pain, or sleep.

Conclusions:

The use of meditative virtual reality technology in the ICU was easily implemented and well-received by patients.

Exoenzyme Y Contributes to End-Organ Dysfunction Caused by Pseudomonas aeruginosa Pneumonia in Critically Ill Patients: An Exploratory Study

Pseudomonas aeruginosa is an opportunistic pathogen that causes pneumonia in immunocompromised and intensive care unit (ICU) patients. During host infection, P. aeruginosa upregulates the type III secretion system (T3SS), which is used to intoxicate host cells with exoenzyme (Exo) virulence factors. Of the four known Exo virulence factors (U, S, T and Y), ExoU has been shown in prior studies to associate with high mortality rates. Preclinical studies have shown that ExoY is an important edema factor in lung infection caused by P. aeruginosa, although its importance in clinical isolates of P. aeruginosa is unknown. We hypothesized that expression of ExoY would be highly prevalent in clinical isolates and would significantly contribute to patient morbidity secondary to P. aeruginosa pneumonia. A single-center, prospective observational study was conducted at the University of Alabama at Birmingham Hospital. Mechanically ventilated ICU patients with a bronchoalveolar lavage fluid culture positive for P. aeruginosa were included. Enrolled patients were followed from ICU admission to discharge and clinical P. aeruginosa isolates were genotyped for the presence of exoenzyme genes. Ninety-nine patients were enrolled in the study. ExoY was present in 93% of P. aeruginosa clinical isolates. Moreover, ExoY alone (ExoY⁺/ExoU⁻) was present in 75% of P. aeruginosa isolates, compared to 2% ExoU alone (ExoY⁻/ExoU⁺). We found that bacteria isolated from human samples expressed active ExoY and ExoU, and the presence of ExoY in clinical isolates was associated with end-organ dysfunction. This is the first study we are aware of that demonstrates that ExoY is important in clinical outcomes secondary to nosocomial pneumonia.

Delirium in intensive care: A stepped-wedge cluster randomised controlled trial for a nurse-led intervention to reduce the incidence and duration of delirium among adults admitted to the intensive care unit (protocol)

BACKGROUND

Delirium is an acute disorder of attention and cognition with the highest rates among adults receiving intensive care. An acute episode of delirium is associated with morbidity and mortality, as well as a significant psychological sequela. Importantly, an increasing body of evidence supports the benefit of nonpharmacological, nurse-led interventions to reduce the incidence and duration of delirium among adults cared for in the intensive care unit (ICU).

OBJECTIVES

This study will evaluate the impact of a nursing-led delirium prevention protocol that is aimed at reducing the incidence and duration of delirium among adults admitted to the ICU. The delirium prevention nursing protocol specifically targets risk factors for delirium.

STUDY PLAN

A stepped-wedge cluster randomised controlled trial approach will be used to assess the effectiveness of the nurse-led intervention, in four adult ICUs across the South Western Sydney Local Health District (SWS-LHD), over a 12-month period. The primary outcomes of interest are (i) the incidence of delirium before and after the implementation of the nurse-led intervention and (ii) the number of delirium-free days during an ICU stay, before and after the implementation of the nurse-led intervention.

TRIAL REGISTRATION

Australian New Zealand Clinical Trials Registry (ANZCTR): (ACTRN12618000411246p).

Reporting of Outcomes and Outcome Measures in Studies of Interventions to Prevent and/or Treat Delirium in the Critically Ill: A Systematic Review

OBJECTIVES

To inform development of a core outcome set, we evaluated the scope and variability of outcomes, definitions, measures, and measurement time-points in published clinical trials of pharmacologic or nonpharmacologic interventions, including quality improvement projects, to prevent and/or treat delirium in the critically ill.

DATA SOURCES

We searched electronic databases, systematic review repositories, and trial registries (1980 to March 2019).

STUDY SELECTION AND DATA EXTRACTION

We included randomized, quasi-randomized, and nonrandomized intervention studies of pharmacologic and nonpharmacologic interventions. We extracted data on study characteristics, verbatim descriptions of study outcomes, and measurement characteristics. We assessed quality of outcome reporting using the Management of Otitis Media with Effusion in Children with Cleft Palate study scoring system; risk of bias and study quality using the Cochrane tool and Scottish Intercollegiate Guidelines Network checklists. We categorized reported outcomes using Core Outcome Measures in Effectiveness Trials taxonomy.

DATA SYNTHESIS

From 195 studies (1/195 pediatric) recruiting 74,632 participants and reporting a mean (SD) of 10 (6.2) outcome domains, we identified 12 delirium-specific outcome domains. Delirium incidence (147, 75% of studies), duration (67, 34%), and antipsychotic use (42, 22%) were most commonly reported. We identified a further 94 non-delirium-specific outcome domains within 19 Core Outcome Measures in Effectiveness Trials taxonomy categories. For both delirium-specific and nonspecific outcome domains, we found multiple outcomes in domains due to differing descriptions and time-points. The Confusion Assessment Method-ICU with Richmond Agitation-Sedation Scale to assess sedation was the most common measure used to ascertain delirium (51, 35%). Measurement generally began at randomization or ICU admission, and lasted from 1 to 30 days, ICU/hospital discharge. Frequency of measurement was highly variable with daily measurement and greater than daily measurement reported for 36% and 37% of studies, respectively.

CONCLUSIONS

We identified substantial heterogeneity and multiplicity of outcome selection and measurement in published studies. These data will inform the consensus building stage of a core outcome set to inform delirium research in the critically ill.

Delirium prevalence and prevention in patients with acute brain injury: A prospective before-and-after intervention study

OBJECTIVES

Knowledge regarding delirium prevention in patients with acute brain injury remains limited. We tested the hypothesis that an intervention bundle which targeted sedation, sleep, pain, and mobilisation would reduce delirium in patients with acute brain injury.

DESIGN

A prospective before-after intervention study: a five-month phase of standard care was followed by a six-month intervention phase.

SETTING

The neuro-intensive care unit, University Hospital of Copenhagen, Denmark.

MAIN OUTCOME MEASURES

The Intensive Care Delirium Screening Checklist was used to detect delirium. Primary outcome was delirium duration; secondary outcomes were delirium prevalence, ICU length of stay and one year mortality.

RESULTS

Forty-four patients were included during the standard care phase, and 50 during the intervention phase. Delirium was present in 90% of patients in the standard care group and 88% in the intervention group (p = 1.0), and time with delirium was 4 days vs 3.5 days (p = 0.26), respectively. Also, ICU length of stay (13 vs. 10.5 days (p = 0.4)) and the one year mortality (21% vs 12% (p = 0.38))) were similar between groups.

CONCLUSION

We found a high prevalence of delirium in patients with acute brain injury. The intervention bundle did not significantly reduce prevalence or duration of delirium, ICU length of stay or one year mortality.

Aripiprazole for prevention of delirium in the neurosurgical intensive care unit: a double-blind, randomized, placebo-controlled study

PURPOSE

Delirium is reported in over 50% of critically ill ICU patients, and is associated with increased mortality and long-term cognitive consequences. Prevention and early management of delirium are essential components of ICU care. However, pharmacological interventions have not been effective in delirium prevention. This study investigated the effect of aripiprazole in the prevention of delirium in a neurosurgical intensive care unit.

METHODS

In this prospective, randomized placebo-controlled small clinical trial, 53 patients, 18 to 80 years old, were randomized to receive enteric aripiprazole (15 mg) or placebo for up to 7 days. Delirium, detected by the Confusion Assessment Method-ICU, ICU events, laboratory studies, aripiprazole safety, time to delirium onset, delirium-free days, delirium prevalence during follow-up and ICU length of stay were recorded.

RESULTS

Forty patients with similar baseline characteristics, including age, sex, neurosurgery types and APACHE II scores, completed the study. Delirium incidence and the mean days to its onset were 20% vs. 55% (p = 0.022) and 2.17 ± 0.41 vs. 2.09 ± 0.30 (p = 0.076) in the aripiprazole and placebo groups, respectively. The mean number of delirium-free days were: 5.6 (95%CI, 4.6-6.5) and 4.3 (95%CI, 3.2-5.4), in aripiprazole and placebo groups, respectively (p = 0.111). The prevalence of delirium during the follow-up was significantly lower in the aripiprazole group (p = 0.018). Serious aripiprazole adverse reactions were not observed.

CONCLUSIONS

Aripiprazole can reduce the incidence of delirium in the neurosurgical ICU. Studies with larger sample size in diverse ICU settings and longer follow-up are needed to confirm our findings.

COVID-19: What do we need to know about ICU delirium during the SARS-CoV-2 pandemic?

In March 2020, the World Health Organisation announced the COVID-19 pandemic caused by the SARS-CoV-2 virus. As well as respiratory failure, the SARS-CoV-2 may cause central nervous system (CNS) involvement, including delirium occurring in critically ill patients (ICU delirium). Due attention must be paid to this subject in the face of the COVID-19 pandemic. Delirium, the detection of which takes less than two minutes, is frequently underestimated during daily routine ICU care, but it may be a prodromal symptom of infection or hypoxia associated with severe respiratory failure. During the COVID-19 pandemic, systematic delirium monitoring using validated tests (CAM-ICU or ICDSC) may be sacrificed. This is likely to be due to the fact that the main emphasis is placed on organisational issues, i.e. the lack of ventilators, setting priorities for limited mechanical ventilation options, and a shortage of personal protective equipment. Early identification of patients with delirium is critical in patients with COVID-19 because the occurrence of delirium may be an early symptom of worsening respiratory failure or of infectious spread to the CNS mediated by potential neuroinvasive mechanisms of the coronavirus. The purpose of this review is to identify problems related to the development of delirium during the COVID-19 epidemic, which are presented in three areas: i) factors contributing to delirium in COVID-19, ii) potential pathophysiological factors of delirium in COVID-19, and iii) long-term consequences of delirium in COVID-19. This article discusses how healthcare workers can reduce the burden of delirium by identifying potential risk factors and difficulties during challenges associated with SARS-CoV-2 infection.

[Delirium in intensive care patients : A multiprofessional challenge]

Delirium is the most common form of cerebral dysfunction in intensive care patients and is a medical emergency that must be avoided or promptly diagnosed and treated. According to current knowledge the development of delirium seems to be caused by an interplay between increased vulnerability (predisposition) and simultaneous exposure to delirogenic factors. Since delirium is often overlooked in the clinical routine, a continuous screening for delirium should be performed. Due to the close connection between delirium, agitation and pain, sedation and analgesia must be evaluated at least every 8 h analogous to delirium screening. According to current knowledge, a multifactorial and multiprofessional approach is favored in the prevention and treatment of delirium. Non-pharmaceutical interventions through early mobilization, reorientation, sleep improvement, adequate pain therapy and avoidance of polypharmacy are of great importance. Depending on the clinical picture, different substances are used in symptom-oriented drug treatment of delirium. In order to achieve these diagnostic and therapeutic goals, an interdisciplinary treatment team consisting of intensive care, intensive care physicians, ward pharmacists, physiotherapists, nutrition specialists and psychiatrists is necessary in order to meet the requirements of the patient and their relatives.

Exploiting Machine Learning Algorithms and Methods for the Prediction of Agitated Delirium After Cardiac Surgery: Models Development and Validation Study

Background

Delirium is a temporary mental disorder that occasionally affects patients undergoing surgery, especially cardiac surgery. It is strongly associated with major adverse events, which in turn leads to increased cost and poor outcomes (eg, need for nursing home due to cognitive impairment, stroke, and death). The ability to foresee patients at risk of delirium will guide the timely initiation of multimodal preventive interventions, which will aid in reducing the burden and negative consequences associated with delirium. Several studies have focused on the prediction of delirium. However, the number of studies in cardiac surgical patients that have used machine learning methods is very limited.

Objective

This study aimed to explore the application of several machine learning predictive models that can pre-emptively predict delirium in patients undergoing cardiac surgery and compare their performance.

Methods

We investigated a number of machine learning methods to develop models that can predict delirium after cardiac surgery. A clinical dataset comprising over 5000 actual patients who underwent cardiac surgery in a single center was used to develop the models using logistic regression, artificial neural networks (ANN), support vector machines (SVM), Bayesian belief networks (BBN), naïve Bayesian, random forest, and decision trees.

Results

Only 507 out of 5584 patients (11.4%) developed delirium. We addressed the underlying class imbalance, using random undersampling, in the training dataset. The final prediction performance was validated on a separate test dataset. Owing to the target class imbalance, several measures were used to evaluate algorithm’s performance for the delirium class on the test dataset. Out of the selected algorithms, the SVM algorithm had the best F1 score for positive cases, kappa, and positive predictive value (40.2%, 29.3%, and 29.7%, respectively) with a P=.01, .03, .02, respectively. The ANN had the best receiver-operator area-under the curve (78.2%; P=.03). The BBN had the best precision-recall area-under the curve for detecting positive cases (30.4%; P=.03).

Conclusions

Although delirium is inherently complex, preventive measures to mitigate its negative effect can be applied proactively if patients at risk are prospectively identified. Our results highlight 2 important points: (1) addressing class imbalance on the training dataset will augment machine learning model’s performance in identifying patients likely to develop postoperative delirium, and (2) as the prediction of postoperative delirium is difficult because it is multifactorial and has complex pathophysiology, applying machine learning methods (complex or simple) may improve the prediction by revealing hidden patterns, which will lead to cost reduction by prevention of complications and will optimize patients’ outcomes.

Role of Wearable Accelerometer Devices in Delirium Studies: A Systematic Review

We sought to determine the feasibility of using wearable accelerometer devices for determining delirium effects on patients' physical activity patterns and detecting delirium and delirium subtype.

DATA SOURCES

PubMed, Embase, and Web of Science.

STUDY SELECTION

Screening was performed using predefined search terms to identify original research studies using accelerometer devices for studying physical activity in relation to delirium.

DATA EXTRACTION

Key data were extracted from the selected articles.

DATA SYNTHESIS

Among the 14 studies identified, there were a total of 315 patients who wore accelerometer devices to record movements related to delirium. Eight studies (57.1%) used accelerometer devices to compare the activity of delirious and nondelirious patients. Delirious patients had lower activity levels, lower restlessness index, higher number of daytime immobility minutes, lower mean activity levels during the day, and higher mean activity levels at night. Delirious patients also had lower actual sleep time, lower sleep efficiency, fewer nighttime minutes resting, fewer minutes resting over 24 hours, and smaller change in activity from day to night. Six studies (42.9%) evaluated the feasibility of using accelerometer devices for detection of delirium and its subtype. Variables including number of postural changes during daytime, frequency of ultrashort, short, and continuous movements were significantly different among the nondelirium and the three delirium subtypes.

CONCLUSIONS

The results from the studies using accelerometer devices in studying delirium demonstrate that accelerometer devices can potentially detect the differences between delirious and nondelirious patients, detect delirium, and determine delirium subtype. We suggest the following directions as the next steps for future studies using accelerometer devices for predicting delirium: benchmark studies with longer data collection, larger and more diverse population size, incorporating related factors (e.g., medications), and evaluating delirium subtype and severity.

Delirium in the Intensive Care Unit: Is Dexmedetomidine Effective?

Delirium in the intensive care unit affects approximately 30% of patients despite vigorous efforts to encourage the use of effective screening tools and preventive strategies. The success of pharmacological treatment of delirium remains equivocal; moreover, a paucity of research supports the use of atypical antipsychotic medications. However, dexmedetomidine appears to have a promising role in delirium management. This review includes an overview of the pathophysiology and types of delirium and describes 2 established tools used to screen for delirium. Published research related to the use of dexmedetomidine in the management of delirium is also discussed. The authors make recommendations for critical care nurses on dexmedetomidine use in the context of providing evidence-based nursing care to intensive care unit patients with delirium.

Thinking forward: promising but unproven ideas for future intensive care

Progress toward determining the true worth of ongoing practices or value of recent innovations can be glacially slow when we insist on following the conventional stepwise scientific pathway. Moreover, a widely accepted but flawed conceptual paradigm often proves difficult to challenge, modify or reject. Yet, most experienced clinicians, educators and clinical scientists privately entertain untested ideas about how care could or should be improved, even if the supporting evidence base is currently thin or non-existent. This symposium encouraged experts to share such intriguing but unproven concepts, each based upon what the speaker considered a logical but unproven rationale. Such free interchange invited dialog that pointed toward new or neglected lines of research needed to improve care of the critically ill. In this summary of those presentations, a brief background outlines the rationale for each novel and deliberately provocative unconfirmed idea endorsed by the presenter.

Reflections on delirium - A patient's perspective

Delirium, and its importance, is briefly discussed to contextualise the intricate story of one patient's experience of the condition. This recounting of the main episodes of delirium shows how its nature and severity changed with time and location, from ICU to the surgical ward. Reflection on these experiences provides insights and conclusions for consideration by the medical profession. Discussion of the nature of delirium, and the sort of interventions that helped, or might be provided, for recovery from, or reduction of, the condition are considered. Thought is given to what might be done to aid recovery and reduce severity. Some suggestions are made as to what education might be provided and the research required to better detect the condition and understand its nature and prevention.

Use of Functional Assessment to Define Therapeutic Goals and Treatment

This article summarizes the presentations and discussions from a workshop, "Using Functional Assessment to Define Therapeutic Goals and Treatment," which took place on November 30 to December 1, 2017. This workshop brought together transdisciplinary leaders in the fields of function and disability and clinical investigators engaged in research on geriatric populations to outline opportunities and challenges for incorporating measures of function in clinical research. Topics addressed included reliable and clinically feasible measures of function and key domains of health (eg, musculoskeletal, cognitive, and sensory) that are most strongly associated with patients' perceptions of well-being, independence, and quality of life across a wide array of diseases and interventions. The workshop also focused on the importance of function in medical decision making to inform communications between specialty physicians and patients about prognosis and goals of care. Workshop participants called for more research on the role of function as a predictor of an intervention's effectiveness and an important treatment outcome. Such research would be facilitated by development of a core set of simple, short, functional measures that can be used by all specialties in the clinical setting to allow "big data" analytics and a pragmatic research. J Am Geriatr Soc 67:1782-1790, 2019.

Perioperative Pain Management in the Critically Ill Patient

PURPOSE OF REVIEW

The assessment and management of perioperative pain in an intensive care setting is complex and challenging, requiring several patient-specific considerations. Administering analgesia is difficult due to interacting effects of pre-existing conditions, interventions, and deviation from standard levels of expressiveness of pain. A significant part of this complexity also arises from the reduced capacity of critically ill patients to fully communicate the severity and nature of their pain. We provide an overview of pharmacological approaches and regional techniques, which can be employed alongside the management of anxiety and sleep, to alleviate pain in the critically ill patients in the perioperative period. These interventions require additional assessments unique to critical care, yet achieving pain relief for improving clinical outcomes and patient satisfaction remains a constant.

RECENT FINDINGS

The latest research has found that the development of standardized mechanisms and protocols to optimize the diagnosis, assessment, and management of pain in the critically ill can provide the best outcomes. The numerical rating scale, critical care pain observation criteria, and behavior pain scale has shown higher reliability to accurately assess pain in the critically ill. Most importantly, preemptive analgesia and the emphasis on early pain control-in the perioperative setting, ICU, and post-discharge-are crucial in minimizing chronic post-discharge pain. Finally, the multimodal approach is still found to be the most effective. This includes pharmacological treatments, regional nerve block, and epidural techniques, as well as alternative methods that are cheap, safe, and easily available. All these together have shown to help control pain, provide psychological support, and prevent long-term co-morbidities in the critically ill. Largely, pain in the critically ill patient is still a very complex issue that requires appropriate diagnosis, assessment, and management of the pain itself and treating all the underlying co-morbidities as well. Many different factors makes it challenging, especially the difficulty in communicating with an ICU patient. However, by looking at the patient as a whole, treating pain early with the multimodal approach, there seems to be some promising results in improving outcomes. It has shown that the improved outcomes in critically ill patients in the perioperative period seen with optimized pain management and ICU can shorten hospital stays, decreased inpatient costs, and limit the use of limited resources.

Psychogenic stress in hospitalized veterinary patients: Causation, implications, and therapies

OBJECTIVE

To review the sources, adverse effects, diagnosis, treatment, and prevention of psychogenic stress in hospitalized human and veterinary patients.

DATA SOURCES

Data were collected by searching PubMed for veterinary and human literature from the past 10 years.

HUMAN DATA SYNTHESIS

Psychogenic stress has been linked to immune suppression; gastrointestinal, cardiovascular, and cutaneous diseases; delayed wound healing; alterations in pain perception; and neurologic impairment. Sources of psychogenic stress include environmental alterations such as excessive noise and light, social and physical factors, sleep disruption, drugs, and underlying disease. Nonpharmacologic options for stress reduction include environmental and treatment modifications, music therapy, and early mobilization. Pharmacologic options include sedation with benzodiazepines and dexmedetomidine. Trazodone and melatonin have been examined for use in sleep promotion but are not currently recommended as standard treatments in ICU.

VETERINARY DATA SYNTHESIS

Activation of the stress response in veterinary patients is largely the same as in people, as are the affected body systems. Possible sources of stress can include social, physical, and environmental factors. No gold standard currently exists for the identification and quantification of stress. A combination of physical examination findings and the results of serum biochemistry, CBC, and biomarker testing can be used to support the diagnosis. Stress scales can be implemented to identify stressed patients and assess severity. Nonpharmacologic treatment options include low-stress handling, pheromones, environmental modifications, and sleep promotion. Pharmacologic options include trazodone, benzodiazepines, dexmedetomidine, and melatonin.

CONCLUSION

The prevalence and clinical significance of psychogenic stress in hospitalized veterinary patients is unknown. Future studies are needed to specifically examine the causative factors of psychogenic stress and the effects of various therapies on stress reduction. The recognition and reduction of psychogenic stress in veterinary patients can lead to improvements in patient care and welfare.

Prediction of ICU Delirium: Validation of Current Delirium Predictive Models in Routine Clinical Practice

OBJECTIVES

To investigate the ability of available delirium risk assessment tools to identify patients at risk of delirium in an Australian tertiary ICU.

DESIGN

Prospective observational study.

SETTING

An Australian tertiary ICU.

PATIENTS

All patients admitted to the study ICU between May 8, 2017, and December 31, 2017, were assessed bid for delirium throughout their ICU stay using the Confusion Assessment Method for ICU. Patients were included in this study if they remained in ICU for over 24 hours and were excluded if they were delirious on ICU admission, or if they were unable to be assessed using the Confusion Assessment Method for ICU during their ICU stay. Delirium risk was calculated for each patient using the prediction of delirium in ICU patients, early prediction of delirium in ICU patients, and Lanzhou models. Data required for delirium predictor models were obtained retrospectively from patients medical records.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

There were 803 ICU admissions during the study period, of which 455 met inclusion criteria. 35.2% (n = 160) were Confusion Assessment Method for ICU positive during their ICU admission. Delirious patients had significantly higher Acute Physiology and Chronic Health Evaluation III scores (median, 72 vs 54; p < 0.001), longer ICU (median, 4.8 vs 1.8 d; p < 0.001) and hospital stay (16.0 vs 8.16 d; p < 0.001), greater requirement of invasive mechanical ventilation (70% vs 21.4%; p < 0.001), and increased ICU mortality (6.3% vs 2.4%; p = 0.037). All models included in this study displayed moderate to good discriminative ability. Area under the receiver operating curve for the prediction of delirium in ICU patients was 0.79 (95% CI, 0.75-0.83); recalibrated prediction of delirium in ICU patients was 0.79 (95% CI, 0.75-0.83); early prediction of delirium in ICU patients was 0.72 (95% CI, 0.67-0.77); and the Lanzhou model was 0.77 (95% CI, 0.72-0.81).

CONCLUSIONS

The predictive models evaluated in this study demonstrated moderate to good discriminative ability to predict ICU patients' risk of developing delirium. Models calculated at 24-hours post-ICU admission appear to be more accurate but may have limited utility in practice.

Validation of the Prediction of Delirium for Intensive Care model to predict subsyndromal delirium

Aim

Subsyndromal delirium is associated with prolonged intensive care unit stays, and prolonged mechanical ventilation requirements. The Prediction of Delirium for Intensive Care (PRE‐DELIRIC) model can predict delirium. This study was designed to verify if it can also predict development of subsyndromal delirium.

Methods

We undertook a single‐center, retrospective observation study in Japan. We diagnosed subsyndromal delirium based on the Intensive Care Delirium Screening Checklist. We calculated the sensitivity and specificity of the PRE‐DELIRIC model and obtained a diagnostic cut‐off value.

Results

We evaluated data from 70 patients admitted to the mixed medical intensive care unit of the Tokyo Medical University Hospital (Tokyo, Japan) between May 2015 and February 2017. The prevalence of subsyndromal delirium by Intensive Care Delirium Screening Checklist was 31.4%. The area under the receiver operating characteristic curve was 0.83 of the PRE‐DELIRIC model for subsyndromal delirium. The calculated cut‐off value was 36 points with a sensitivity of 94.3% and specificity of 57.1%. Subsyndromal delirium was associated with a higher incidence of delirium (odds ratio, 8.81; P < 0.01).

Conclusion

The PRE‐DELIRIC model could be a tool for predicting subsyndromal delirium using a cut‐off value of 36 points.

Improving the Accuracy of Delirium Assessments in Neuroscience Patients: Scaling a Quality Improvement Program to Improve Nurses' Skill, Compliance, and Accuracy in the Use of the Confusion Assessment Method in the Intensive Care Unit Tool

BACKGROUND

Delirium affects up to 80% of critically ill patients; however, many cases of delirium go unrecognized because of inaccurate assessments. The effectiveness of interventions to improve assessment accuracy among the general population has been established, but assessments among neuroscience patients are uniquely complicated due to the presence of structural neurologic changes.

OBJECTIVES

The purposes of this quality improvement project were to improve the accuracy of nurse's delirium assessments among neuroscience patients and to determine the comparative effectiveness of the intervention between medical and neuroscience patients.

METHODS

A multifaceted nurse-led intervention was implemented, and a retrospective analysis of preintervention and postintervention data on assessment accuracy was completed. Results were stratified by population, level of sedation, and level of care. Differences were analyzed using Fisher exact test.

RESULTS

Data from 1052 delirium assessments were analyzed and demonstrated improvement in assessment accuracy from 56.82% to 95.07% among all patients and from 29.79% to 92.98% among sedate or agitated patients. Although baseline accuracy was significantly lower among neuroscience patients versus medical intensive care unit patients, no significant differences in postintervention accuracy were noted between groups.

CONCLUSION

Results from this project demonstrate the effectiveness of the nurse-led intervention among neuroscience patients. Future research is needed to explore the effectiveness of this nurse-led intervention across other institutions and to describe the effectiveness of new interventions to improve outcomes at the patient and organizational levels.

Dose of Early Therapeutic Mobility: Does Frequency or Intensity Matter?

OBJECTIVE

Investigate the feasibility of a nurse-led mobility protocol and compare the effects of once- versus twice-daily episodes of early therapeutic mobility (ETM) and low- versus moderate-intensity ETM on serum biomarkers of inflammation and selected outcomes in critically ill adults.

DESIGN

Randomized interventional study with repeated measures and blinded assessment of outcomes.

SETTING

Four adult intensive care units (ICUs) in two academic medical centers.

SUBJECTS

Fifty-four patients with > 48 hr of mechanical ventilation (MV).

INTERVENTION

Patients were assigned to once- or twice-daily ETM via sealed envelope randomization at enrollment. Intensity of (in-bed vs. out-of-bed) ETM was administered according to protocolized patient assessment.

MEASUREMENTS

Interleukins 6, 10, 8, 15, and tumor necrosis factor-α were collected from serum before and after ETM; change scores were used in the analyses. Manual muscle and handgrip strength, delirium onset, duration of MV, and ICU length of stay (LOS) were evaluated as patient outcomes.

MAIN RESULTS

Hypotheses regarding the inflammatory biomarkers were not supported based on confidence intervals. Twice-daily intervention was associated with reduced ICU LOS. Moderate-intensity (out-of-bed) ETM was associated with greater manual muscle test scores and handgrip strength and reduced occurrence of delirium.

CONCLUSION

Findings from this study suggest that nurses can provide twice-daily mobility interventions that include sitting on the edge of the bed once patients have a stable status without altering a pro-inflammatory serum biomarker profile.

Dexmedetomidine Prevents Excessive γ-Aminobutyric Acid Type A Receptor Function after Anesthesia

What We Already Know about This Topic

What This Article Tells Us That Is New

Background

Postoperative delirium is associated with poor long-term outcomes and increased mortality. General anesthetic drugs may contribute to delirium because they increase cell-surface expression and function of α5 subunit-containing γ-aminobutyric acid type A receptors, an effect that persists long after the drugs have been eliminated. Dexmedetomidine, an α2 adrenergic receptor agonist, prevents delirium in patients and reduces cognitive deficits in animals. Thus, it was postulated that dexmedetomidine prevents excessive function of α5 γ-aminobutyric acid type A receptors.

Methods

Injectable (etomidate) and inhaled (sevoflurane) anesthetic drugs were studied using cultured murine hippocampal neurons, cultured murine and human cortical astrocytes, and ex vivo murine hippocampal slices. γ-Aminobutyric acid type A receptor function and cell-signaling pathways were studied using electrophysiologic and biochemical methods. Memory and problem-solving behaviors were also studied.

Results

The etomidate-induced sustained increase in α5 γ-aminobutyric acid type A receptor cell-surface expression was reduced by dexmedetomidine (mean ± SD, etomidate: 146.4 ± 51.6% vs. etomidate + dexmedetomidine: 118.4 ± 39.1% of control, n = 8 each). Dexmedetomidine also reduced the persistent increase in tonic inhibitory current in hippocampal neurons (etomidate: 1.44 ± 0.33 pA/pF, n = 10; etomidate + dexmedetomidine: 1.01 ± 0.45 pA/pF, n = 9). Similarly, dexmedetomidine prevented a sevoflurane-induced increase in the tonic current. Dexmedetomidine stimulated astrocytes to release brain-derived neurotrophic factor, which acted as a paracrine factor to reduce excessive α5 γ-aminobutyric acid type A receptor function in neurons. Finally, dexmedetomidine attenuated memory and problem-solving deficits after anesthesia.

Conclusions

Dexmedetomidine prevented excessive α5 γ-aminobutyric acid type A receptor function after anesthesia. This novel α2 adrenergic receptor- and brain-derived neurotrophic factor-dependent pathway may be targeted to prevent delirium.

Ability of suvorexant to prevent delirium in patients in the intensive care unit: a randomized controlled trial

Aim

There are no effective, tolerable, and established medications for preventing delirium in critically ill patients admitted to the intensive care unit (ICU). We investigated whether suvorexant was effective in preventing ICU delirium.

Methods

This randomized controlled study evaluated 70 adult patients (age ≥20 years) admitted to the mixed medical ICU of the Tokyo Medical University Hospital (Tokyo, Japan) between May 2015 and February 2017. Patients were randomized using a sealed envelope method to receive either suvorexant (n = 34; 15 mg for elderly patients and 20 mg for younger adults) or conventional treatment (n = 36) for a 7-day period. The primary outcome was delirium incidence based on the definition in the 5th edition of the Diagnostic and Statistical Manual of Mental Disorders.

Results

No significant between-group differences were observed in the demographic or clinical characteristics. Kaplan-Meier estimates revealed that time to delirium onset was significantly longer in the suvorexant group than in the conventional group (P < 0.05).

Conclusion

Suvorexant might be effective in preventing delirium in ICU patients.

Quantifying postoperative mobilisation following oesophagectomy

OBJECTIVE

Early mobilisation is in integral component of postoperative recovery following complex surgical procedures such as oesophageal cancer resections, however evidence to guide early mobilisation protocols in critical care settings is limited. Furthermore, little is known about actual mobilisation levels postoperatively. This study quantified postoperative mobilisation post- oesophagectomy and investigated barriers to mobility.

DESIGN

Prospective observational study.

SETTING

Postoperative critical care setting in a tertiary care referral centre for oesophagectomy.

PARTICIPANTS

Thirty participants (mean age 65 (SD 7) years, n=19 males) scheduled for oesophagectomy.

MAIN OUTCOME MEASURES

The primary outcome, postoperative physical activity, was measured objectively using the Actigraph GT3X+. Medical records were examined for a range of outcomes including medical status, pain scores and physiotherapy comments to identify factors which may have influenced mobility.

RESULTS

During postoperative day (POD) 1-5, participants spent the majority of time (>96%) sedentary. Participation in light intensity activity was low but did increase daily from a median of 12 (IQR 19) minutes/day on POD1 to a median of 53 (IQR 73.25) minutes/day on POD5 p<0.001), with a corresponding increase in daily step count. Haemodynamic instability was the most common reason reported by physiotherapists for either not attempting mobility or limiting postoperative mobilisation levels.

CONCLUSIONS

These data demonstrate that despite daily physiotherapy, there are multiple challenges to postoperative mobilisation. Haemodynamic instability, likely related to thoracic epidurals, was the key limitation to early mobilisation. Goal-directed mobilisation in collaboration with the multidisciplinary team may play a considerable role in overcoming modifiable barriers to postoperative mobilisation.

Educational intervention on delirium assessment using confusion assessment method-ICU (CAM-ICU) in a general intensive care unit

AIMS AND OBJECTIVES

To assess intensive care unit nurses' knowledge of intensive care unit delirium and delirium assessment before and after an educational intervention. In addition, nurses' perception on the usefulness of a delirium assessment tool and barriers against delirium assessment were assessed as secondary objectives.

BACKGROUND

Early identification of delirium in intensive care units is crucial for patient care. Hence, nurses require adequate knowledge to enable appropriate evaluation of delirium using standardised practice and assessment tools.

DESIGN

This study, performed in Malaysia, used a single-group pretest-posttest study design to assess the effect of educational interventions and hands-on practices on nurses' knowledge of intensive care unit delirium and delirium assessment.

METHODS

Sixty-one nurses participated in educational intervention sessions, including classroom learning, demonstrations and hands-on practices on the Confusion Assessment Method-Intensive Care Unit. Data were collected using self-administered questionnaires for the pre- and postintervention assessments. Analysis to determine the effect of the educational intervention consisted of the repeated-measures analysis of covariance.

RESULTS

There were significant differences in the knowledge scores pre- and postintervention, after controlling for demographic characteristics. The two most common perceived barriers to the adoption of the intensive care unit delirium assessment tool were "physicians did not use nurses' delirium assessment in decision-making" and "difficult to interpret delirium in intubated patients".

CONCLUSIONS

Educational intervention and hands-on practices increased nurses' knowledge of delirium assessment. Teaching and interprofessional involvements are essential for a successful implementation of intensive care unit delirium assessment practice.

RELEVANCE TO CLINICAL PRACTICE

This study supports existing evidences, indicating that education and training could increase nurses' knowledge of delirium and delirium assessment. Improving nurses' knowledge could potentially lead to better delirium management practice and improve ICU patient care. Thus, continuous efforts to improve and sustain nurses' knowledge become relevant in ICU settings.

"They can rest at home": an observational study of patients' quality of sleep in an Australian hospital

Background

Poor sleep is known to adversely affect hospital patients’ recovery and rehabilitation. The aim of the study was to investigate the perceived duration and quality of patient sleep and identify any environmental factors associated with patient-reported poor sleep in hospital.

Method

A cross-sectional study was conducted involving 15 clinical units within a 672-bed tertiary-referral hospital in Australia. Semi-structured interviews to determine perceptions of sleep quantity and quality and factors that disturb nocturnal sleep were conducted with patients and nursing staff. Environmental noise, light and temperature were monitored overnight, with concurrent logging of noise sources by observers.

Results

Patients reported a mean reduction in hospital sleep duration, compared to home, of 1.8 h (5.3 vs. 7.1 h; p < 0.001). The proportions of patients reporting their sleep quality to be poor/very poor, fair and of good quality were 41.6, 34.2 and 24.2% respectively. Patients reported poorer sleep quality than nurses (p < 0.05). Patients, nurses and observers all reported the main factors associated with poor sleep as clinical care interventions (34.3%) and environmental noise (32.1%). Noise levels in all 15 clinical areas exceeded WHO recommended levels of < 30 dB [A] by 36.7 to 82.6%, with peak noise levels of 51.3 to 103.3 dB (A).

Conclusion

Hospital in-patients are exposed to factors which reduce the duration and quality of their sleep. These extrinsic factors are potentially modifiable through behaviour change and reconfiguration of the clinical environment. The findings from this study provided the foundation for a quality improvement project currently underway to improve patients’ sleep.

Quality of Sleep Among Intensive Care Unit Patients: A Literature Review

Investigating sleep disturbances among intensive care unit (ICU) patients and its serious consequences is considered a crucial issue for nurses. The need of sleep increases during hospitalization time to preserve energy for the healing process. Previous studies have demonstrated that sleep disturbance is one of the most common complaints of patients in the ICUs, with a prevalence of more than 50%. Although the total sleep time might be normal, the patients' sleep is fragmented and light in the intensive care settings. The main purpose of this review is to generate a clear view of what is known about sleep disturbances among ICU patients as well as to identify the gap in knowledge regarding this issue. This was done by describing, summarizing, clarifying, and evaluating well-selected previous studies about this topic. In addition, this concise review has focused on the prevalence of sleep disturbances in the ICU, factors contributing to poor quality of sleep among ICU patients, and the physiological effects of poor sleep on the patients' prognosis.

Limiting sedation for patients with acute respiratory distress syndrome - time to wake up

PURPOSE OF REVIEW

Critically ill patients with acute respiratory distress syndrome (ARDS) may require sedation in their clinical care. The goals of sedation in ARDS patients are to improve patient comfort and tolerance of supportive and therapeutic measures without contributing to adverse outcomes. This review discusses the current evidence for sedation management in patients with ARDS.

RECENT FINDINGS

Deep sedation strategies should be avoided in the care of patients with ARDS because deep sedation has been associated with increased time on mechanical ventilation, longer ICU and hospital length of stay, and higher mortality in critically ill patients. Adoption of protocol-based, light-sedation strategies is preferred and improves patient outcomes. Although the optimal sedative agent for ARDS patients is unclear, benzodiazepines should be avoided because of associations with oversedation, delirium, prolonged ICU and hospital length of stay, and increased mortality. Minimizing sedation in patients with ARDS facilitates early mobilization and early discharge from the ICU, potentially aiding in recovery from critical illness. Strategies to optimize ventilation in ARDS patients, such as low tidal volume ventilation and high positive end-expiratory pressure can be employed without deep sedation; however, deep sedation is required if patients receive neuromuscular blockade, which may benefit some ARDS patients. Knowledge gaps persist as to whether or not prone positioning and extracorporeal membrane oxygenation can be tolerated with light sedation.

SUMMARY

Current evidence supports the use of protocol-based, light-sedation strategies in critically ill patients with ARDS. Further research into sedation management specifically in ARDS populations is needed.

Clinical Utility of a Structured Program to Reduce the Risk of Health-Related Quality of Life Impairment after Discharge from Intensive Care Unit: A Real-World Experience

BACKGROUND

Postdischarge deterioration in health-related quality of life (HRQoL) is a major clinical issue for patients after an intensive care unit (ICU) hospitalization. A significant proportion of these patients is known to develop a progressive worsening of mental and physical performance-the so-called post-intensive care syndrome (PICS).

AIM

We aimed at exploring the effects of a structured program for the management of ICU patients, aimed at improving postdischarge HRQoL and reducing the risk of PICS.

METHODS

A total of 159 patients hospitalized in our ICU with a length of stay >72 hours were enrolled in an institutional management protocol including specific recommendations: adequate sedation and analgesia protocols, to ensure a valid delirium prevention strategy, and to provide a planned midterm after discharge. The main endpoint was the occurrence of PICS at the 6-month follow-up visitation, defined as an abnormal physical or mental score in the SF-12 questionnaire in the presence of clinical evidence of new or worsening impairment in physical, cognitive, or mental health status. An additional questionnaire was administered, to assess the effects of ICU-related memories.

RESULTS

Most patients positively rated their health at the 6-month follow-up and had no significant impairment in physical or mental health status. The mean normalized values of the physical and mental component of the SF-12 score were 46 ± 11 and 48 ± 14, suggesting a normal physical and mental health status in most patients. Twenty-nine patients (18.2%) showed evidence of PICS. Similar good results were found by the questionnaire of memories. In multivariable analysis, no variable was found to predict the risk of PICS in our population.

CONCLUSION

In this real-world analysis that lacks a control group, patients who used a program aimed at minimizing the risk of HRQoL deterioration and PICS reported a good perception of their state of health with a relatively low prevalence of PICS.

Delirium in ICU patients following cardiac surgery: An observational study

AIMS AND OBJECTIVES

To observe the clinical and structural factors that can be associated with the post-operative onset of delirium in patients who have undergone heart surgery.

BACKGROUND

Several risk factors could contribute to the development of delirium, such as the use of some sedative drugs and a patient's history with certain types of acute chronic disease. However, in the literature, there is little knowledge about the association between delirium in patients who have undergone cardiac surgical intervention and their clinical and environmental predictors.

DESIGN

We used an observational design.

METHODS

We enrolled 89 hospitalised patients in the ICU. Patients were first evaluated using the Richmond Agitation Sedation Scale and subsequently using the Confusion Assessment Method for the ICU. A linear model of regression was used to identify the predictors of delirium in patients.

RESULTS

The patients had an average age of 89 years (SD = 6.9), were predominantly male (84.3%) and were mostly married (79.8%). The majority of patients had been subjected to bypass (80.9%), while 19.1% had undergone the intervention of endoprosthesis. The logistic regression model showed that patient age, the duration of mechanically assisted ventilation, continuous exposure to artificial light and the presence of sleep disorders were predictors of the onset of delirium.

CONCLUSION

This study further confirms that clinical aspects such as insomnia and one's circadian rhythm as well as structural elements such as exposure to artificial light are variables that should be monitored in order to prevent and treat the onset of severe post-operative delirium.

RELEVANCE TO CLINICAL PRACTICE

Identifying the possible factors that predispose a patient to the onset of delirium during intensive therapy following cardiac surgery, it is fundamental to implement interventions to prevent this syndrome.

Study protocol to assess the effectiveness and safety of a flexible family visitation model for delirium prevention in adult intensive care units: a cluster-randomised, crossover trial (The ICU Visits Study)

INTRODUCTION

Flexible intensive care unit (ICU) visiting hours have been proposed as a means to improve patient-centred and family-centred care. However, randomised trials evaluating the effects of flexible family visitation models (FFVMs) are scarce. This study aims to compare the effectiveness and safety of an FFVM versus a restrictive family visitation model (RFVM) on delirium prevention among ICU patients, as well as to analyse its potential effects on family members and ICU professionals.

METHODS AND ANALYSIS

A cluster-randomised crossover trial involving adult ICU patients, family members and ICU professionals will be conducted. Forty medical-surgical Brazilian ICUs with RFVMs (<4.5 hours/day) will be randomly assigned to either an RFVM (visits according to local policies) or an FFVM (visitation during 12 consecutive hours per day) group at a 1:1 ratio. After enrolment and follow-up of 25 patients, each ICU will be switched over to the other visitation model, until 25 more patients per site are enrolled and followed. The primary outcome will be the cumulative incidence of delirium among ICU patients, measured twice a day using the Confusion Assessment Method for the ICU. Secondary outcome measures will include daily hazard of delirium, ventilator-free days, any ICU-acquired infections, ICU length of stay and hospital mortality among the patients; symptoms of anxiety and depression and satisfaction among the family members; and prevalence of burnout symptoms among the ICU professionals. Tertiary outcomes will include need for antipsychotic agents and/or mechanical restraints, coma-free days, unplanned loss of invasive devices and ICU-acquired pneumonia, urinary tract infection or bloodstream infection among the patients; self-perception of involvement in patient care among the family members; and satisfaction among the ICU professionals.

ETHICS AND DISSEMINATION

The study protocol has been approved by the research ethics committee of all participant institutions. We aim to disseminate the findings through conferences and peer-reviewed journals.

TRIAL REGISTRATION

NCT02932358.

The ABCDE Bundle: A Survey of Nurses Knowledge and Attitudes in the Intensive Care Units of a National Teaching Hospital in Italy

BACKGROUND

The ABCDE (Awakening and Breathing coordination of daily sedation and ventilator removal trials; Choice of sedative or analgesic exposure; Delirium monitoring and management; and Early mobility and exercise) bundle is a multidisciplinary set of evidence-based practices for improving patient outcomes in the intensive care unit. Nurses are critical to all the bundle's requirements. Therefore, understanding their knowledge, attitudes, and perception of the different bundle's components might help for an easier implementation into everyday clinical practice.

OBJECTIVE

The aim of this study was to assess nurses' knowledge, utility, and perception of the ABCDE bundle.

METHODS

An anonymous questionnaire with closed-end questions was administered to the nurses working at the intensive care unit (ICU) of a nationwide teaching hospital.

RESULTS

Only the 41.6% of the respondents declared to be aware of the bundle; however, the majority of them (67%) agreed with its potential capability of improving patients' outcomes after reviewing a document as they completed a survey. In addition, 71% of responders judged the Sedation Awakening Trial and the Spontaneous Breathing Trial easy to understand, and 80% found the Richmond Agitation-Sedation Scale and the Confusion Assessment Method for the ICU useful to asses and monitor delirium. However, 48% reported that they did not currently use them. Fifty-one percent of respondents reported that they were not aware of or had used the Exercise/Mobility Safety Screen. Fifty-three respondents reported that multidisciplinary rounds were not performed at their ICU but judged them as a positive activity. Only 34% of the respondents considered the ABCDE bundle applicable at their own ICU.

DISCUSSION

A substantial need for educational improvement and cultural change is needed. The results of this study may help other facilities to identify contextual and professionals-related factors possibly hindering the bundle's implementation.

An Innovative Approach to Improving the Accuracy of Delirium Assessments Using the Confusion Assessment Method for the Intensive Care Unit

BACKGROUND

Delirium occurs in up to 80% of intensive care unit (ICU) patients. Despite its prevalence in this population, there continues to be inaccuracies in delirium assessments. In the absence of accurate delirium assessments, delirium in critically ill ICU patients will remain unrecognized and will lead to negative clinical and organizational outcomes.

OBJECTIVES

The goal of this quality improvement project was to facilitate sustained improvement in the accuracy of delirium assessments among all ICU patients including those who were sedate or agitated.

METHODS

A pretest-posttest design was used to evaluate the effectiveness of a program to improve the accuracy of delirium screenings among patients admitted to a medical ICU or coronary care unit.

RESULTS

Two hundred thirty-six delirium assessment audits were completed during the baseline period and 535 during the postintervention period. Compliance with performing at least 1 delirium assessment every shift was 85% at baseline and improved to 99% during the postintervention period. Baseline assessment accuracy was 70.31% among all patients and 53.49% among sedate and agitated patients. Postintervention assessment accuracy improved to 95.51% for all patients and 89.23% among sedate and agitated patients.

CONCLUSION

The results from this project suggest the effectiveness of the program in improving assessment accuracy among difficult-to-assess patients. Further research is needed to demonstrate the effectiveness of this model across other critical care units, patient populations, and organizations.

Virtual Reality and Human Consciousness: The Use of Immersive Environments in Delirium Therapy

Immersive virtual environments can produce a state of behavior referred to as "presence," during which the individual responds to the virtual environment as if it were real. Presence can be arranged to scientifically evaluate and affect our consciousness within a controlled virtual environment. This phenomenon makes the use of virtual environments amenable to existing and in-development forms of therapy for various conditions. Delirium in the intensive care unit is one such condition for which virtual reality technology has not been evaluated to date. We are currently assessing the feasibility and utility of a delirium prevention and treatment system which implements virtual reality to improve quality of sleep, reduce pain, lower usage of sedatives, and stimulate cognition. The proposed system will consist of 3-axis wearable accelerometers, 6-DOF position trackers, a virtual reality system, and apps designed to promote sleep quality and mindfulness. Our a priori hypothesis is that our virtual reality therapy system would lower the occurrence of delirium in patients admitted to intensive care units.

Investigating the application of motion accelerometers as a sleep monitoring technique and the clinical burden of the intensive care environment on sleep quality: study protocol for a prospective observational study in Australia

INTRODUCTION

Sleep is a state of quiescence that facilitates the significant restorative processes that enhance individuals' physiological and psychological well-being. Patients admitted to the intensive care unit (ICU) experience substantial sleep disturbance. Despite the biological importance of sleep, sleep monitoring does not form part of standard clinical care for critically ill patients. There exists an unmet need to assess the feasibility and accuracy of a range of sleep assessment techniques that have the potential to allow widespread implementation of sleep monitoring in the ICU.

KEY MEASURES

The coprimary outcome measures of this study are to: determine the accuracy and feasibility of motion accelerometer monitoring (ie, actigraphy) and subjective assessments of sleep (nursing-based observations and patient self-reports) to the gold standard of sleep monitoring (ie, polysomnography) in evaluating sleep continuity and disturbance. The secondary outcome measures of the study will include: (1) the association between sleep disturbance and environmental factors (eg, noise, light and clinical interactions) and (2) to describe the sleep architecture of intensive care patients.

METHODS AND ANALYSIS

A prospective, single centre observational design with a within subjects' assessment of sleep monitoring techniques. The sample will comprise 80 adults (aged 18 years or more) inclusive of ventilated and non-ventilated patients, admitted to a tertiary ICU with a Richmond Agitation-Sedation Scale score between +2 (agitated) and -3 (moderate sedation) and an anticipated length of stay >24 hours. Patients' sleep quality, total sleep time and sleep fragmentations will be continuously monitored for 24 hours using polysomnography and actigraphy. Behavioural assessments (nursing observations) and patients' self-reports of sleep quality will be assessed during the 24-hour period using the Richards-Campbell Sleep Questionnaire, subjective sleepiness evaluated via the Karolinska Sleepiness Scale, along with a prehospital discharge survey regarding patients' perception of sleep quality and disturbing factors using the Little Sleep Questionnaire will be undertaken. Associations between sleep disturbance, noise and light levels, and the frequency of clinical interactions will also be investigated. Sound and luminance levels will be recorded at 1 s epochs via Extech SDL600 and SDL400 monitoring devices. Clinical interactions will be logged via the electronic patient record system Metavision which documents patient monitoring and clinical care.

ETHICS AND DISSEMINATION

The relevant institutions have approved the study protocol and consent procedures. The findings of the study will contribute to the understanding of sleep disturbance, and the ability to implement sleep monitoring methods within ICUs. Understanding the contribution of a clinical environment on sleep disturbance may provide insight into the need to address clinical environmental issues that may positively influence patient outcomes, and could dispel notions that the environment is a primary factor in sleep disturbance. The research findings will be disseminated via presentations at national and international conferences, proceedings and published articles in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

ACTRN12615000945527; Pre-results.

Mechanisms involved in brain dysfunction in mechanically ventilated critically ill patients: implications and therapeutics

Critical illness may lead to significant long-term neurological morbidity and patients frequently develop neuropsychological disturbances including acute delirium or memory impairment after intensive care unit (ICU) discharge. Mechanical ventilation (MV) is a risk factor to the development of adverse neurocognitive outcomes. Patients undergoing MV for long periods present neurologic impairment with memory and cognitive alteration. Delirium is considered an acute form of brain dysfunction and its prevalence rises in mechanically ventilated patients. Delirium duration is an independent predictor of mortality, ventilation time, ICU length of stay and short- and long-term cognitive impairment in the ICU survivors. Although, neurocognitive sequelae tend to improve after hospital discharge, residual deficits persist even 6 years after ICU stay. ICU-related neurocognitive impairments occurred in many cognitive domains and are particularly pronounced with regard to memory, executive functions, attentional functions, and processing speed. These sequelae have an important impact on patients' lives and ICU survivors often require institutionalization and hospitalization. Experimental studies have served to explore the possible mechanisms or pathways involved in this lung to brain interaction. This communication can be mediated via a complex web of signaling events involving neural, inflammatory, immunologic and neuroendocrine pathways. MV can affect respiratory networks and the application of protective ventilation strategies is mandatory in order to prevent adverse effects. Therefore, strategies focused to minimize lung stretch may improve outcomes, avoiding failure of distal organ, including the brain. Long-term neurocognitive impairments experienced by critically ill survivors may be mitigated by early interventions, combining cognitive and physical therapies. Inpatient rehabilitation interventions in ICU promise to improve outcomes in critically ill patients. The cross-talk between lung and brain, involving specific pathways during critical illness deserves further efforts to evaluate, prevent and improve cognitive alterations after ICU admission, and highlights the crucial importance of tailoring MV to prevent adverse outcomes.

Implementing a Multicomponent Intervention to Prevent Delirium Among Critically Ill Patients

BACKGROUND

Delirium is common among the critically ill. Nonpharmacologic interventions are reportedly effective in reducing incident delirium, but limited data specific to this population exist.

OBJECTIVES

To assess the efficacy and describe the implementation strategy of a multicomponent intervention to prevent delirium in an intensive care unit.

METHODS

A before-and-after study was conducted in an intensive care unit between May 2014 through August 2015. Adult participants were enrolled consecutively, excluding only those who refused to participate. Tailored interventions took available evidence into consideration. Components included early mobilization, physical therapy, reorientation, cognitive stimulation, drug reviews, environmental stimulation, avoidance of sensory deprivation, pain control, restraint use avoidance, and family participation. Incident delirium was assessed twice daily using the Confusion Assessment Method for the Intensive Care Unit. Multivariate logistic regression was used to control for confounders.

RESULTS

The study included 227 patients (54.7% male; mean [SD] age, 63.3 [18.3] years). Our strategy significantly reduced delirium (from 38% to 24%; relative risk, 0.62; 95% CI, 0.40–0.94; P = .02), an association that remained significant after adjusting for confounders. Adherence rates were more than 85% in all intervention domains (except daily reorientation) that were overseen by health care providers.

CONCLUSIONs

The strategy was successful in reducing delirium. Self-removals of invasive implements decreased, an observation that has not been previously described. No difference in mortality rate was seen, as has been reported in other studies. Early participation of the whole team, shared leadership, and the provision of concrete tasks were key to the success of this multicomponent intervention.

Animal Assisted Interactions to Alleviate Psychological Symptoms in Patients on Mechanical Ventilation

Mechanical ventilation is a common life support intervention for critically ill patients that can cause stressful psychological symptoms. Animal assisted interactions have been used in variety of inpatient settings to reduce symptom burden and promote overall well-being. Due to the severity of illness associated with critical care, use of highly technological equipment, and heightened concern for infection control and patient safety, animal-assisted interaction has not been widely adopted in the intensive care unit. This case study of the therapeutic interaction between a canine and a mechanically ventilated patient provides support for the promotion of animal-assisted interactions as an innovative symptom management strategy in the intensive care unit.