Effect of organisational factors on the variation in incidence of delirium in intensive care unit patients: A systematic review and meta-regression analysis

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.

Performance and validation of two ICU delirium assessment and severity tools; a prospective observational study

BACKGROUND

The clinical statistical performance of the Confusion Assessment Method Intensive Care Unit (CAM-ICU, including CAM-ICU-7) and Intensive Care Delirium Screening Checklist (ICDSC) have rarely been studied. Additionally, delirium severity is often not measured due to a lack of validation of delirium assessment tools.

OBJECTIVE

The aim was to determine the statistical performance of both delirium assessment tools in daily practice, and the correlation with the gold standard Delirium Rating Scale (DRS)-R98, for delirium severity.

RESEARCH METHOD

CAM-ICU-7 and ICDSC, performed by nurses were compared with the DRS-R98 assessed by delirium experts, twice weekly. Within a time-window of one hour all assessments were independently performed.

DESIGN

A prospective observational study performed between October and December 2020.

MAIN OUTCOME MEASURES

Sensitivity, specificity, positive and negative predictive value of both tools was determined. The correlation between DRS-R98 and CAM-ICU-7 and ICDSC was used for validation of delirium severity.

RESULTS

In total, 104 CAM-ICU-7 and 105 ICDSC assessments in 86 patients were compared with the DRS-R98. For the CAM-ICU-7 and ICDSC, respectively, the sensitivity was 90% and 95%, the specificity was 92.4% and 92.3%. The positive predictive value was 0.76 and 0.80, and negative predictive value was 0.77 and 0.97. Correlation of the CAM-ICU-7 score and ICDSC score with the DRS-R98 score was 0.74 (95% CI 0.64-0.81) and 0.70 (95%CI 0.59-0.79; both p < 0.001), respectively.

CONCLUSION

Both CAM-ICU-7 and ICDSC demonstrated good statistical performance and correlated well with the delirium severity tool DRS-R98.

IMPLICATIONS FOR CLINICAL PRACTICE

Nurses can either use the CAM-ICU(-7) or the ICDSC in their practice, both are accurate in delirium diagnosis. Total CAM-ICU-7 and ICDSC score reflects delirium severity well; the higher the score, the more severe the delirium. This enables nurses to gauge the impact of their interventions and enhance the well-being of patients experiencing delirium by minimizing distressing occurrences.

Prevalence of delirium among critically ill patients who received extracorporeal membrane oxygenation therapy: A systematic review and proportional meta-analysis

OBJECTIVES

To pool the overall prevalence of delirium among critically ill patients who received extracorporeal membrane oxygenation (ECMO) support.

METHODOLOGY

This systematic review and proportional meta-analysis was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) and Meta-analysis of Observational Studies in Epidemiology (MOOSE) reporting guidelines. Six electronic databases including PubMed, Cochrane Library, Web of Science, EMBASE, CINAHL, and PsycINFO were searched from inception to March 2023. The Newcastle-Ottawa Scale was used to assess the methodological quality of the included studies. A random effects model was used to pool the summary prevalence estimates and 95% CIs using the score statistic and the exact binomial method and incorporates the Freeman-Tukey double arcsine transformation of proportions. Sensitivity analyses including subgroup analysis, meta-regression, and outlier detection were carried out.

SETTING

Intensive care units.

MAIN OUTCOME MEASURES

Prevalence of delirium.

RESULTS

A total of 10 studies involving 8,580 patients were included for meta-analysis. All studies had a low risk of bias in methodological quality. The pooled prevalence rate of 40.79% [95% CI, 17.58%-66.25%] was observed. The between-study heterogeneity (I2) was 98.28%. The subgroup analysis reveals the pooled prevalence of delirium for veno-arterial (V-A) ECMO, veno-venous (V-V) ECMO, and mixed sample of V-A and V-V ECMO were 63.57% [95% CI, 55.77%-71.04%], 51.84% [95% CI, 37.43%-66.12%] and 35.23% [95% CI, 11.84%-62.95%], respectively. Sample size (p = 0.024) was a significant factor associated with the heterogeneity. No evidence for small-study effects was observed (Egger's test: p = 0.5664).

CONCLUSION

This systematic review and proportional meta-analysis reveals a high prevalence of delirium among critically ill patients who received ECMO support.

IMPLICATIONS FOR CLINICAL PRACTICE

The results of this meta-analysis can be epidemiological evidence to inform the awareness of clinicians and researchers in critical care clinical practice and research.

Dynamic Nomogram for Subsyndromal Delirium in Adult Intensive Care Unit: A Prospective Cohort Study

Purpose

To develop a dynamic nomogram of subsyndromal delirium (SSD) in intensive care unit (ICU) patients and internally validate its efficacy in predicting SSD.

Patients and Methods

Patients who met the inclusion and exclusion criteria in the ICU of a tertiary hospital in Zhejiang from September 2021 to June 2022 were selected as the research objects. The patient data were randomly divided into the training set and validation set according to the ratio of 7:3. The least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression were used to screen the predictors of SSD, and R software was used to construct a dynamic nomogram. Receiver operating characteristic (ROC) curve, calibration band and decision curve were used to evaluate the discrimination, calibration and clinical effectiveness of the model.

Results

A total of 1000 eligible patients were included, including 700 in the training set and 300 in the validation set. Age, drinking history, C reactive protein level, APACHE II, indwelling urinary catheter, mechanical ventilation, cerebrovascular disease, respiratory failure, constraint, dexmedetomidine, and propofol were predictors of SSD in ICU patients. The ROC curve values of the training set was 0.902 (95% confidence interval: 0.879-0.925), the best cutoff value was 0.264, the specificity was 78.4%, and the sensitivity was 88.0%. The ROC curve values of the validation set was 0.888 (95% confidence interval: 0.850-0.930), the best cutoff value was 0.543, the specificity was 94.9%, and the sensitivity was 70.9%. The calibration band showed good calibration in the training and validation set. Decision curve analysis showed that the net benefit in the model was significantly high.

Conclusion

The dynamic nomogram has good predictive performance, so it is a precise and effective tool for medical staff to predict and manage SSD in the early stage.

Differences in long-term outcomes between ICU patients with persistent delirium, non-persistent delirium and no delirium: A longitudinal cohort study

PURPOSE

Determine differences in physical, mental and cognitive outcomes 1-year post-ICU between patients with persistent delirium (PD), non-persistent delirium (NPD) and no delirium (ND).

MATERIALS AND METHODS

A longitudinal cohort study was performed in adult ICU patients of two hospitals admitted between July 2016-February 2020. Questionnaires on physical, mental and cognitive health, frailty and QoL were completed regarding patients' pre-ICU health status and 1-year post-ICU. Delirium data were from patients' total hospital stay. Patients were divided in PD (≥14 days delirium), NPD (<14 days delirium) or ND patients.

RESULTS

2400 patients completed both questionnaires, of whom 529 (22.0%) patients developed delirium; 35 (6.6%) patients had PD and 494 (93.4%) had NPD. Patients with delirium (PD or NPD) had worse outcomes in all domains compared to ND patients. Compared to NPD, more PD patients were frail (34.3% vs. 14.6%, p = 0.006) and fatigued (85.7% vs. 61.1%, p = 0.012). After adjustment, PD was significantly associated with long-term cognitive impairment only (aOR 3.90; 95%CI 1.31-11.63).

CONCLUSIONS

Patients with PD had a higher likelihood to develop cognitive impairment 1-year post-ICU compared to NPD or ND. Patients with PD and NPD were more likely to experience impairment on all health domains (i.e. physical, mental and cognitive), compared to ND patients.

Incidence, Subtypes, Risk factors, and Outcome of Delirium: A Prospective Observational Study from Indian Intensive Care Unit

Background

Delirium is a common, under-recognized, and often fatal condition in critically ill patients, characterized by acute disorder of attention and cognition. The global prevalence varies with a negative impact on outcomes. A paucity of Indian studies exists that have systematically assessed delirium.

Objective

A prospective observational study designed to determine the incidence, subtypes, risk factors, complications, and outcome of delirium in Indian intensive care units (ICUs).

Patients and methods

Among 1198 adult patients screened during the study period (December 2019-September 2021), 936 patients were included. The confusion assessment method score (CAM-ICU) and Richmond agitation sedation scale (RASS) were used, with additional confirmation of delirium by the psychiatrist/neurophysician. Risk factors and related complications were compared with a control group.

Results

Delirium occurred in 22.11% of critically ill patients. The hypoactive subtype was the most common (44.9%). The risk factors recognized were higher age, increased acute physiology and chronic health evaluation (APACHE-II) score, hyperuricemia, raised creatinine, hypoalbuminemia, hyperbilirubinemia, alcoholism, and smoking. Precipitating factors included patients admitted on noncubicle beds, proximity to the nursing station, requiring ventilation, as well as the use of sedatives, steroids, anticonvulsants, and vasopressors. Complications observed in the delirium group were unintentional removal of catheters (35.7%), aspiration (19.8%), need for reintubation (10.6%), decubitus ulcer formation (18.4%), and high mortality (21.3% vs 5%).

Conclusion

Delirium is common in Indian ICUs with a potential effect on length of stay and mortality. Identification of incidence, subtype, and risk factors is the first step toward prevention of this important cognitive dysfunction in the ICU.

How to cite this article

Tiwari AM, Zirpe KG, Khan AZ, Gurav SK, Deshmukh AM, Suryawanshi PB, et al. Incidence, Subtypes, Risk factors, and Outcome of Delirium: A Prospective Observational Study from Indian Intensive Care Unit. Indian J Crit Care Med 2023;27(2):111-118.

Investigating nurses' knowledge and attitudes about delirium in older persons: a cross-sectional study

INTRODUCTION

Delirium is the most common emergency for older hospitalized patients that demands urgent treatment, otherwise it can lead to more severe health conditions. Nurses play a crucial part in diagnosing delirium and their competencies facilitate the appropriate treatment and management of the condition.

AIM

This study aims to enhance the understanding of delirium care by exploring both knowledge and attitudes of nurses toward patients in acute care hospital wards and the possible association between these two variables.

METHOD

The Nurses Knowledge of Delirium Questionnaire (NKD) and the Attitude Tool of Delirium (ATOD) that were created for the said inquiry, were disseminated to 835 nurses in the four largest Public Hospitals of the Republic. These tools focused particularly on departments with increased frequency of delirium (response rate = 67%).

RESULTS

Overall nurses have limited knowledge of acute confusion/delirium. The average of correct answers was 42.2%. Only 38% of the participants reported a correct definition of delirium, 41.6 correctly reported the tools to identify delirium and 42.5 answered correctly on the factors leading to delirium development. The results of the attitudes' questionnaire confirmed that attitudes towards patients with delirium may not be supportive enough. A correlation between the level of nurses' knowledge and their attitude was also found. The main factors influencing the level of knowledge and attitudes were gender, education, and workplace.

CONCLUSION

The findings of this study are useful for the international audience since they can be used to develop and modify educational programmes in order to rectify the knowledge deficits and uninformed attitudes towards patients with delirium. The development of a valid and reliable instrument for the evaluation of attitudes will help to further assess nurses' attitudes. Furthermore, the results are even more important and useful on a national level since there is no prior data on the subject area, making this study the first of its kind.

Comparison of Prognostic Accuracy of 3 Delirium Prediction Models

BACKGROUND

Delirium is a severe complication in critical care patients. Accurate prediction could facilitate determination of which patients are at risk. In the past decade, several delirium prediction models have been developed.

OBJECTIVES

To compare the prognostic accuracy of the PRE-DELIRIC, E-PRE-DELIRIC, and Lanzhou models, and to investigate the difference in prognostic accuracy of the PRE-DELIRIC model between patients receiving and patients not receiving mechanical ventilation.

METHODS

This retrospective study involved adult patients admitted to the intensive care unit during a 2-year period. Delirium was assessed by using the Confusion Assessment Method for the Intensive Care Unit or any administered dose of haloperidol or quetiapine. Model discrimination was assessed by calculating the area under the receiver operating characteristic curve (AUC); values were compared using the DeLong test.

RESULTS

The study enrolled 1353 patients. The AUC values were calculated as 0.716 (95% CI, 0.688-0.745), 0.681 (95% CI, 0.650-0.712), and 0.660 (95% CI, 0.629-0.691) for the PRE-DELIRIC, E-PRE-DELIRIC, and Lanzhou models, respectively. The difference in model discrimination was statistically significant for comparison of the PRE-DELIRIC with the E-PRE-DELIRIC (AUC difference, 0.035; P = .02) and Lanzhou models (AUC difference, 0.056; P < .001). In the PRE-DELIRIC model, the AUC was 0.711 (95% CI, 0.680-0.743) for patients receiving mechanical ventilation and 0.664 (95% CI, 0.586-0.742) for those not receiving it (difference, 0.047; P = .27).

CONCLUSION

Statistically significant differences in prognostic accuracy were found between delirium prediction models. The PRE-DELIRIC model was the best-performing model and can be used in patients receiving or not receiving mechanical ventilation.

Variables associated with concordance or discordance for delirium diagnosis between referring and consulting physicians at a Tertiary Hospital in Colombia: Prospective observational study

Delirium is an acute state of impaired consciousness and a medical urgency. Its broad range of alterations in mental status make diagnosis challenging. Awareness and accurate provisional diagnosis by nonpsychiatric clinicians are important for prompt management. Because delirium symptoms overlap and mimic other neuropsychiatric conditions, a referral to a consultant psychiatrist is often needed. The aim of this study was to determine the discriminating variables that are associated with concordance or discordance for a DSM-5 delirium diagnosis made by the consultation/liaison (C/L) psychiatrist as compared to the referral diagnosis/reasons given by the referring physicians for inpatients from a Tertiary Hospital in a Latin-American country. Prospective study of a cohort of 399 consecutive patients admitted to any ward of a university hospital in Medellin-Colombia and referred by a specialist physician to the C/L Psychiatry service. Analyses for diagnostic concordance used a nested sample of 140 cases diagnosed with delirium by the psychiatrist. Two multivariate logistic models were run, for delirium diagnosis concordance and discordance between the referring physician and C/L psychiatrist. The referral diagnosis was concordant with that of Psychiatry in 90/140 patients in 64.3%, with 35.7% discordance. Increasing age (OR = 1.024) and internal medicine ward (OR = 3.0) were significantly related (Wald statistic P < .05) to concordance in the multivariate analysis whose model accuracy was 68.6%. Trauma/orthopedics ward (OR = 5.7) and SARS-CoV-2 infection (OR = 3.8) were important contributors to the model fit though not significant. Accuracy of the discordance model was 70.7%, where central nervous system (CNS) disorder (OR = 6.1) and referrals from ICU (OR = 4.9), surgery (OR = 4.6), neurology/neurosurgery (OR = 5.1) and another consultant (OR = 4.7) were significantly related (Wald statistic P < .05), while metabolic/endocrine disorder (OR = 2.7) was important for model fit, but not significant. Concordance for delirium diagnosis was higher from services where education, guidelines and working relationships with C/L Psychiatry could have contributed beneficially whereas, surprisingly, CNS disorders and neurology/neurosurgery services had higher discordance, as well as the ICU. Routine use of brief sensitive delirium assessment tools such as the DDT-Pro could enhance provisional delirium diagnosis.

Thirst in adult patients in the intensive care unit: protocol for a scoping review

INTRODUCTION

Thirst is one of the most bothersome symptoms experienced by intensive care unit (ICU) patients. Effective diagnosis and management of thirst in the ICU is essential, particularly as patients are less sedated than previously and more aware of this problem. Currently, no overview of publications on thirst identification and management in ICU patients exists. The scoping review will address the broad question 'What is known about thirst as a symptom in adult critically ill patients?' It aims to provide an overview of the causes and risk factors, diagnosis and measurement, the symptom dimensions and its interaction with other symptoms, and thirst management.

METHODS AND ANALYSIS

The review will follow the Joanna Briggs Institute methodology framework to guide the process and will be reported according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews. Methods include: defining the review questions, eligibility criteria, concepts of interest and context; and outlining the search strategy, study selection process, data extraction and analysis. PubMed, MEDLINE, EMBASE and CINAHL will be searched from inception to April 2022.

ETHICS AND DISSEMINATION

Ethical approval is not required, as the scoping review will synthesise information from available publications. The scoping review will be submitted for publication to a scientific journal, presented at relevant conferences and disseminated as part of future workshops with ICU support groups and the critical care professional community.

The future of intensive care: delirium should no longer be an issue

In the ideal intensive care unit (ICU) of the future, all patients are free from delirium, a syndrome of brain dysfunction frequently observed in critical illness and associated with worse ICU-related outcomes and long-term cognitive impairment. Although screening for delirium requires limited time and effort, this devastating disorder remains underestimated during routine ICU care. The COVID-19 pandemic brought a catastrophic reduction in delirium monitoring, prevention, and patient care due to organizational issues, lack of personnel, increased use of benzodiazepines and restricted family visitation. These limitations led to increases in delirium incidence, a situation that should never be repeated. Good sedation practices should be complemented by novel ICU design and connectivity, which will facilitate non-pharmacological sedation, anxiolysis and comfort that can be supplemented by balanced pharmacological interventions when necessary. Improvements in the ICU sound, light control, floor planning, and room arrangement can facilitate a healing environment that minimizes stressors and aids delirium prevention and management. The fundamental prerequisite to realize the delirium-free ICU, is an awake non-sedated, pain-free comfortable patient whose management follows the A to F (A-F) bundle. Moreover, the bundle should be expanded with three additional letters, incorporating humanitarian care: gaining (G) insight into patient needs, delivering holistic care with a 'home-like' (H) environment, and redefining ICU architectural design (I). Above all, the delirium-free world relies upon people, with personal challenges for critical care teams to optimize design, environmental factors, management, time spent with the patient and family and to humanize ICU care.

Dexmedetomidine vs other sedatives in critically ill mechanically ventilated adults: a systematic review and meta-analysis of randomized trials

Conventional gabaminergic sedatives such as benzodiazepines and propofol are commonly used in mechanically ventilated patients in the intensive care unit (ICU). Dexmedetomidine is an alternative sedative that may achieve lighter sedation, reduce delirium, and provide analgesia. Our objective was to perform a comprehensive systematic review summarizing the large body of evidence, determining if dexmedetomidine reduces delirium compared to conventional sedatives. We searched MEDLINE, EMBASE, CENTRAL, ClinicalTrials.gov and the WHO ICTRP from inception to October 2021. Independent pairs of reviewers identified randomized clinical trials comparing dexmedetomidine to other sedatives for mechanically ventilated adults in the ICU. We conducted meta-analyses using random-effects models. The results were reported as relative risks (RRs) for binary outcomes and mean differences (MDs) for continuous outcomes, with corresponding 95% confidence intervals (CIs). In total, 77 randomized trials (n = 11,997) were included. Compared to other sedatives, dexmedetomidine reduced the risk of delirium (RR 0.67, 95% CI 0.55 to 0.81; moderate certainty), the duration of mechanical ventilation (MD - 1.8 h, 95% CI  - 2.89 to  - 0.71; low certainty), and ICU length of stay (MD  - 0.32 days, 95% CI  - 0.42 to  - 0.22; low certainty). Dexmedetomidine use increased the risk of bradycardia (RR 2.39, 95% CI 1.82 to 3.13; moderate certainty) and hypotension (RR 1.32, 95% CI 1.07 to 1.63; low certainty). In mechanically ventilated adults, the use of dexmedetomidine compared to other sedatives, resulted in a lower risk of delirium, and a modest reduction in duration of mechanical ventilation and ICU stay, but increased the risks of bradycardia and hypotension.

A Scoping Review of the Incidence, Predictors, and Outcomes of Delirium Among Critically Ill Stroke Patients

ABSTRACT

BACKGROUND: Delirium is a common, often iatrogenically induced syndrome that may impede the physical, cognitive, and psychological recovery of critically ill adults. The effect delirium has on outcomes of intensive care unit patients having acute neurologic injury remains unclear because previous studies frequently exclude this vulnerable population. The aim of this scoping review was to describe the incidence, predictors, and outcomes of delirium among adults admitted to an intensive care unit experiencing an acute ischemic stroke, intracerebral hemorrhage, or aneurysmal subarachnoid hemorrhage. METHODS: PubMed, CINAHL, Web of Science, EMBASE, and Scopus were searched with the terms (1) stroke, (2) critical care, and (3) delirium. Inclusion criteria were original peer-reviewed research reporting the incidence, outcomes, or predictors of delirium after acute stroke among critically ill adults. Editorials, reviews, posters, conference proceedings, abstracts, and studies in which stroke was not the primary reason for admission were excluded. Title and abstract screening, full-text review, and data extraction were performed by 2 authors, with disagreements adjudicated by a third author. RESULTS: The initial search yielded 1051 results. Eighteen studies met eligibility criteria and were included in the review. Stroke type was not mutually exclusive and included persons given a diagnosis of acute ischemic stroke (11), intracerebral hemorrhage (12), aneurysmal subarachnoid hemorrhage (8), and other (1) strokes. Incidence of delirium among stroke patients ranged from 12% to 75%. Predictors of delirium included older age, preexisting dementia, higher severity of illness, and physical restraint use. Outcomes associated with delirium included higher mortality, longer length of stay, worse cognition and quality of life, and lower functional status. CONCLUSIONS: Current findings are limited by heterogenous populations, assessments, and measurement parameters. Detection and management of delirium among critically ill stroke patients requires an approach with specific considerations to the complexities of acute neurological injury and concomitant critical illness.

Recognizing Intensive Care Unit Delirium: Are Critical Care Nurses Ready?

BACKGROUND

Delirium remains significantly undetected in the intensive care unit (ICU). Little is known regarding the level of delirium care knowledge among critical care nurses in Taiwan.

PURPOSE

This study was designed to investigate the level of knowledge about delirium care among critical care nurses using a multiple-choice question quiz.

METHODS

A descriptive, cross-sectional approach was used, and data were collected using a web-based survey. The demographic characteristics including age, years worked as critical care nurse, gender, advanced ICU training, educational level, and type of ICU, along with a delirium care knowledge quiz, were collected. The quiz consisted of 16 items measuring (a) symptoms, types, and outcomes; (b) high-risk groups; (c) predisposing and precipitating factors; and (d) assessment and detection of delirium. Data were collected between October 6 and November 16, 2020.

RESULTS

In total, 324 critical care nurses completed the survey. The rate of correct response on the delirium care quiz for each domain was measured: (a) symptoms, types, and outcomes: 67.1%; (b) high-risk groups: 76.2%; (c) predisposing and precipitating factors: 78.9%; and (d) assessment and detection: 41.5%. The item with the lowest correct response rate was related to the interpretation of delirium assessments.

CONCLUSION/IMPLICATIONS FOR PRACTICE

The findings of this study suggest that future studies and education should focus on the use and interpretation of the assessment using a valid delirium assessment tool to improve the ability of critical care nurses to detect delirium in ICU settings.

The effects of interactive E-learning on delirium recognition ability and delirium-related strain of care among critical care nurses

Background

Nursing care for patients with delirium is very complex and stressful and is associated with considerable care strain for nurses. Delirium recognition is the first step to the prevention and management of delirium and reduction of strain of care. Education is one of the strategies for improving nurses' delirium recognition ability.

Objectives

This study aimed to evaluate the effects of interactive E-learning on delirium recognition ability and delirium-related strain of care among critical care nurses.

Methods

This quasi-experimental study was conducted in 2019 using a two-group pretest-posttest design. Participants were 98 critical care nurses recruited through a census from two hospitals in Iran. They were non-randomly allocated to an intervention and a control group. Study intervention was an interactive E-learning program with four parts on delirium, its prevention, its treatment, and its diagnostic and screening procedures. The program was uploaded on a website and its link was provided to participants in the intervention group. Before and two months after the intervention, data were collected using the Strain of Care for Delirium Index and five case vignettes. For data analysis, the Chi-square, Fisher's exact, independent-sample t, and paired-sample t tests were performed usingthe SPSS software (v. 16.0).

Findings

Groups did not significantly differ from each other regarding the pretest mean scores of delirium recognition ability and strain of care. After the intervention, the mean score of delirium recognition ability in the intervention group was significantly greater and the mean score of strain of care was significantly lower than the control group (P < 0.05).

Conclusion

Interactive E-learning is effective in significantly improving critical care nurses' delirium recognition ability and reducing their strain of care. As nurses' heavy workload and limited free time are among the main barriers to their participation in face-to-face educational programs, interactive E-learning can be used for in-service education.

Potentially inappropriate medication use in elderly patients treated in intensive care units: A cross-sectional study using 2019 Beers, STOPP/v2 Criteria and EU(7)-PIM List

OBJECTIVE

To determine the prevalence of and the risk factors for Potentially Inappropriate Medication (PIM), the drug groups most commonly evaluated as PIMs in elderly patients in the ICUs by using 2019 Beers Criteria, STOPP version 2 (v2) Criteria and EU(7)-PIM List. The relation between mortality rate and length of ICU stay with PIMs was also examined.

METHODS

This was a cross sectional study conducted on patients aged ≥65 years, treated in ICUs (n = 139) between June 8, 2020, and January 11, 2021. Patients' demographic characteristics, clinical data and laboratory findings about the drugs used were collected prospectively. PIMs were evaluated according to each of the criteria applied. Relationship of dependent and independent variables was evaluated using chi-square analysis, t-test and logistic regression analysis. P < .05 was considered statistically significant.

RESULTS

The number of patients with at least 1 PIM according to three criteria was 118 (84.9%) (80.6%, 59.7%, 48.2%, Beers, STOPP/v2 and EU(7)-PIM List, respectively). In the univariate analysis, receiving renal replacement therapy and high number of drugs were the covariates that significantly affected the presence of PIM according to all three criteria (P < .05). Combined use of anxiolytics and opioids in Beers Criteria (58.3%), antipsychotics (26.6%) in STOPP/v2 Criteria, and antiarrhythmics (23.7%) in EU(7)-PIM List were the drugs that caused PIM at most. No relationship was found between the presence of PIM and mortality. The length of ICU stay was determined significantly longer in the presence of PIM according to Beers Criteria (P = .028).

CONCLUSIONS

In this study, the prevalence of PIM was determined higher in elderly patients in ICU. Our results supported that 2019 Beers Criteria for ICU patients seems to be more directive in detecting PIMs and determining the prognosis. Reducing the number of drugs administered may be the first step to decrease PIMs in elderly patients in ICU and to maintain the treatment safely.

Measuring thirst distress of patients in the intensive care unit

BACKGROUND

Thirst is one of the most intense and distressing symptoms experienced by patients in the intensive care unit (ICU), and no validated measurement tools exist. Validating a thirst measurement tool for the ICU population could be a first step in gaining a better understanding of thirst in ICU patients and aid the development and implementation of strategies regarding the prevention and control of thirst.

AIM

The objective of this study was to determine the validity and reliability of the "Thirst distress scale for patients with heart failure (TDS-HF)" in measuring thirst distress in adult ICU patients.

METHODS

Content validity was established by an expert panel consisting of ICU nurses, intensivists and five ICU patients. Concurrent validity, known-groups validity and internal consistency were determined in a consecutive sample of 56 awake and oriented ICU patients with a median age of 70 years (IQR: 57-74).

RESULTS

Content validity of the TDS-HF in the ICU population was low, with item-content validity indexes between 0.25 and 0.75. Concurrent validity was high as Spearman's correlation between TDS-HF and the numeric rating score (0-10) for thirst distress was 0.71. Internal consistency was high (Cronbach's alpha 0.78). When comparing groups, only higher blood urea nitrogen was significantly related to higher scores on the TDS-HF (P = .003).

CONCLUSION

The TDS-HF has high concurrent validity and reliability in measuring thirst distress in ICU patients. Nevertheless, questions remain regarding the applicability and content validity of the scale, which should be further explored before the TDS-HF can be used in the ICU.

RELEVANCE FOR CLINICAL PRACTICE

The TDS-HF can be used to explore thirst distress and to evaluate interventions. Individual items of the scale can be used to explore the nature of thirst distress in individual patients.

Factors associated with a persistent delirium in the intensive care unit: A retrospective cohort study

PURPOSE

To explore differences between ICU patients with persistent delirium (PD), non-persistent delirium (NPD) and no delirium (ND), and to determine factors associated with PD.

MATERIALS AND METHODS

Retrospective cohort study including all ICU adults admitted for ≥12 h (January 2015-February 2020), assessable for delirium and followed during their entire hospitalization. PD was defined as ≥14 days of delirium. Factors associated with PD were determined using multivariable logistic regression analysis.

RESULTS

Out of 10,295 patients, 3138 (30.5%) had delirium, and 284 (2.8%) had PD. As compared to NPD (n = 2854, 27.7%) and ND (n = 7157, 69.5%), PD patients were older, sicker, more physically restrained, longer comatose and mechanically ventilated, had a longer ICU and hospital stay, more ICU readmissions and a higher mortality rate. Factors associated with PD were age (adjusted odds ratio [aOR] 1.03; 95% confidence interval [CI] 1.02-1.04); emergency surgical (aOR 1.84; 95%CI 1.26-2.68) and medical (aOR 1.57; 95%CI 1.12-2.21) referral, mean Sequential Organ Failure Assessment (SOFA) score before delirium onset (aOR 1.18; 95%CI 1.13-1.24) and use of physical restraints (aOR 5.02; 95%CI 3.09-8.15).

CONCLUSIONS

Patients with persistent delirium differ in several characteristics and had worse short-term outcomes. Physical restraints were the most strongly associated with PD.

Etiologies of Delirium in Consecutive COVID-19 Inpatients and the Relationship Between Severity of Delirium and COVID-19 in a Prospective Study With Follow-Up

OBJECTIVE

The investigators aimed to describe delirium etiologies and clinical characteristics, as well as the relationship between COVID-19 and delirium severities, at baseline and follow-up after delirium improvement among patients with SARS-CoV-2 infection.

METHODS

A longitudinal study of 20 consecutive critically ill, delirious COVID-19 inpatients, assessed with the Charlson Comorbidity Index-Short Form (CCI-SF), COVID-19 Clinical Severity Scale (CCSS), Delirium Etiology Checklist, Delirium Motor Subtype Scale-4, and Delirium Diagnostic Tool-Provisional (DDT-Pro), was conducted. Correlational analysis of delirium severity (DDT-Pro) with each measure of clinical severity (CCI-SF and CCSS) and comparison of baseline DDT-Pro scores between patients who were living and those who were deceased at follow-up were conducted.

RESULTS

Participants were 50-90 years old (male, 75%; hypertension, 60%). The prevalence of preexisting medical comorbidities (CCI-SF) was low and not correlated with delirium severity (p=0.193). Eighteen patients were on mechanical or high-flow noninvasive ventilation at baseline in the intensive care unit (ICU; CCSS scores 2-4). Delirium severity (DDT-Pro scores 0-6) correlated with COVID-19 severity (0.459, p=0.021). Delirium motor subtype was hyperactive in 75% of patients. There were three to four etiologies for delirium in each patient, most commonly organ insufficiency (100%), systemic infection (100%), and metabolic and endocrine disturbances (95%). The baseline DDT-Pro score was ≤4 for five (25%) patients who died before the final assessment, with a trend of being lower than that for survivors (χ²=3.398, p=0.065).

CONCLUSIONS

Among inpatients with COVID-19, at least three different etiological categories were identified for delirium. ICU staff treating patients with severe cases of COVID-19 should anticipate a greater severity of delirium. Although multivariate analyses with larger study samples are needed, more severe delirium may herald greater risk of death among COVID-19 patients.

Delirium Severely Worsens Outcome in Patients with COVID-19-A Retrospective Cohort Study from Temporary Critical Care Hospitals

Delirium is a sign of deterioration of homeostasis and worse prognosis. The aim of this study was to investigate the frequency, risk factors and prognosis of delirium in patients with COVID-19 in a temporary acute setting hospital. A retrospective cohort analysis of data collected between October 2020 and February 2021 from two temporary acute care hospitals was performed. All consecutive hospitalized patients ≥18 years old with COVID-19 were included. An assessment of consciousness was carried out at least two times a day, including neurological examination. Delirium was identified through retrospective chart review according to DSM-5 criteria if present at least once during hospitalization. Analysis included 201 patients, 39 diagnosed with delirium (19.4%). Delirious patients were older (p < 0.001), frailer (p < 0.001) and the majority were male (p = 0.002). Respiratory parameters were worse in this group with higher oxygen flow (p = 0.013), lower PaO2 (p = 0.043) and higher FiO2 (p = 0.006). The mortality rate was significantly higher in patients with delirium (46.15% vs 3.70%, p < 0.001) with OR 17.212 (p < 0.001) corrected for age and gender. Delirious patients experienced significantly more complications: cardiovascular (OR 7.72, p < 0.001), pulmonary (OR 8.79, p < 0.001) or septic (OR 3.99, p = 0.029). The odds of mortality in patients with COVID-19 presenting with delirium at any point of hospitalization were seventeen times higher.

Effects of a simulation-based education programme on delirium care for critical care nurses: A randomized controlled trial

AIMS

To evaluate the effects of a simulation-based education programme on critical care nurses' knowledge, confidence, competence and clinical performance in providing delirium care.

DESIGN

Single-blinded randomized controlled trial.

METHODS

Registered nurses who work in intensive care units were recruited from a university-affiliated acute major metropolitan teaching hospital. The intervention group received: (i) five online-learning delirium care videos, (ii) one face-to-face delirium care education session and (iii) a simulation-based education programme with a role-play scenario-based initiative and an objective structured clinical examination. The control group received only online videos which were the same as those provided to the intervention group. Delirium care knowledge, confidence, competence, and clinical performance as outcomes were collected at: baseline, immediately after intervention, and within 6 weeks post-intervention to test whether there were any changes and if they were sustained over time. Data were collected between 2 October and 29 December 2020. The repeated-measures analysis of variance was used to examine for changes in delirium care knowledge, confidence, and competence within groups.

RESULTS

Seventy-two critical care nurses participated with 36 each allocated to the intervention group and control group. No statistically significant difference was observed between the two groups in outcome variables at 6 weeks post-intervention. In the intervention group, significant within-group changes were observed in terms of delirium care knowledge, confidence, and competence over time. By contrast, no significant changes were observed in outcome measures over time in the control group.

CONCLUSION

The simulation-based education programme is an effective and feasible strategy to improve delirium care by enhancing the knowledge, confidence, competence and clinical performance of critical care nurses.

IMPACT

Our findings provide evidence regarding the development and implementation of a simulation-based education programme in hospitals for health professional education in Taiwan.

Delirium and long term cognition in critically ill patients

Delirium, a form of acute brain dysfunction, is very common in the critically ill adult patient population. Although its pathophysiology is poorly understood, multiple factors associated with delirium have been identified, many of which are coincident with critical illness. To date, no drug or non-drug treatments have been shown to improve outcomes in patients with delirium. Clinical trials have provided a limited understanding of the contributions of multiple triggers and processes of intensive care unit (ICU) acquired delirium, making identification of therapies difficult. Delirium is independently associated with poor long term outcomes, including persistent cognitive impairment. A longer duration of delirium is associated with worse long term cognition after adjustment for age, education, pre-existing cognitive function, severity of illness, and exposure to sedatives. Interestingly, differences in prevalence are seen between ICU survivor populations, with survivors of acute respiratory distress syndrome experiencing higher rates of cognitive impairment at early follow-up compared with mixed ICU survivor populations. Although cognitive performance improves over time for some ICU survivors, impairment is persistent in others. Studies have so far been unable to identify patients at higher risk of long term cognitive impairment; this is an active area of scientific investigation.

Discharge from hospital with newly administered antipsychotics after intensive care unit delirium - Incidence and contributing factors

PURPOSE

Delirium in the intensive care unit (ICU) is often treated with haloperidol or atypical antipsychotics. Antipsychotic treatment can lead to severe adverse effects and excess mortality. After initiation in the ICU, patients are at risk of having their antipsychotics continued unnecessarily at ICU and hospital discharge. This study aims to determine the incidence of, and risk factors for antipsychotic continuation at hospital discharge after ICU delirium.

METHODS

This retrospective observational study was performed in a tertiary care center. Adult patients who received antipsychotics for ICU delirium during 2016 were included. Data was extracted from patient records. After univariate testing, a multivariate binary logistic regression model was used to identify independent risk factors for antipsychotic continuation.

RESULTS

A total of 196 patients were included, of which 104 (53.1%) and 41 (20.9%) had their antipsychotics continued at ICU and hospital discharge respectively. Medical ICU admission (odds ratio [95% confidence interval] 2.97 [1.37-6.41]) and quetiapine treatment (5.81 [1.63-20.83]) were independently associated with antipsychotic continuation at hospital discharge.

CONCLUSIONS

Approximately one in five patients were discharged from the hospital with continued antipsychotics. Hospital policies should implement strategies for systematic antipsychotic tapering and better follow-up of antipsychotics at transitions of care.

Post-stroke delirium risk factors, signs and symptoms of onset and outcomes as perceived by expert nurses: A focus group study

BACKGROUND

Higher rates of delirium have been reported among patients with acute stroke. However, poorly modifiable risk factors have been documented to date while sign and symptoms capable of early detecting its onset and outcomes in this specific population have been largely neglected. The aim of this study was to emerge nurses' clinical knowledge and experiences regarding post-stroke delirium (a) risk factors, (b) signs and symptoms of delirium onset, and (c) outcomes.

METHOD

A qualitative study based upon focus groups have been performed on 2019 and here reported according to the COnsolidated criteria for REporting Qualitative research. A purposeful sample of 28 nurses was invited to participate in focus groups at two Italian hospitals, and 20 participated. A semi-structured question guide was developed; all focus groups were audio recorded and then transcribed verbatim. Two researchers independently analysed, coded and categorised the findings according to the main research question. A member checking with ten nurses was also performed to ensure rigour.

RESULTS

Four risk factors emerged (a) at the individual level; (b) associated with previous (e.g., dementia) and the current clinical condition (stroke), (c) associated with the nursing care delivered, and (d) associated with the hospital environment. In their daily practice, nurses suspect the onset of delirium when some motor, verbal or multidimensional signs and symptoms occur. The delirium episodes affect outcomes at the individual, family, and at the system levels.

CONCLUSIONS

In a field of research in need of study, we have involved expert nurses who shared their tacit knowledge to gain insights regarding risk factors, early signs and symptoms of delirium and its outcomes to address future directions of this research field.

Internal clock and the surgical ICU patient

PURPOSE OF REVIEW

The alteration of circadian rhythms in the postoperative period has been demonstrated to influence the outcomes. With this narrative review we would revise how anesthesia, surgery and intensive care can interfere with the circadian clock, how this could impact on the postsurgical period and how to limit the disruption of the internal clock.

RECENT FINDINGS

Anesthesia affects the clock in relation to the day-time administration and the type of anesthetics, N-methyl-D-aspartate receptor antagonists or gamma-aminobutyric acid receptors agonists. Surgery causes stress and trauma with consequent alteration in the circadian release of cortisol, cytokines and melatonin. ICU represents a further challenge for the patient internal clock because of sedation, immobility, mechanical ventilation and alarms noise.

SUMMARY

The synergic effect of anesthesia, surgery and postoperative intensive care on circadian rhythms require a careful approach to the patient considering a role for therapies and interventions aimed to re-establish the normal circadian rhythms. Over time, approach like the Awakening and Breathing Coordination, Delirium Monitoring and Management, Early Mobility and Family engagement and empowerment bundle can implement the clinical practice.

Prophylactic Haloperidol Effects on Long-term Quality of Life in Critically Ill Patients at High Risk for Delirium: Results of the REDUCE Study

BACKGROUND

Delirium incidence in intensive care unit patients is high and associated with impaired long-term outcomes. The use of prophylactic haloperidol did not improve short-term outcome among critically ill adults at high risk of delirium. This study evaluated the effects of prophylactic haloperidol use on long-term quality of life in this group of patients and explored which factors are associated with change in quality of life.

METHODS

A preplanned secondary analysis of long-term outcomes of the pRophylactic haloperidol usE for DeliriUm in iCu patients at high risk for dElirium (REDUCE) study was conducted. In this multicenter randomized clinical trial, nondelirious intensive care unit patients were assigned to prophylactic haloperidol (1 or 2 mg) or placebo (0.9% sodium chloride). In all groups, patients finally received study medication for median duration of 3 days [interquartile range, 2 to 6] until onset of delirium or until intensive care unit discharge. Long-term outcomes were assessed using the Short Form-12 questionnaire at intensive care unit admission (baseline) and after 1 and 6 months. Quality of life was summarized in the physical component summary and mental component summary scores. Differences between the haloperidol and placebo group and factors associated with changes in quality of life were analyzed.

RESULTS

Of 1,789 study patients, 1,245 intensive care unit patients were approached, of which 887 (71%) responded. Long-term quality of life did not differ between the haloperidol and placebo group (physical component summary mean score of 39 ± 11 and 39 ± 11, respectively, and P = 0.350; and mental component summary score of 50 ± 10 and 51 ± 10, respectively, and P = 0.678). Age, medical and trauma admission, quality of life score at baseline, risk for delirium (PRE-DELIRIC) score, and the number of sedation-induced coma days were significantly associated with a decline in long-term quality of life.

CONCLUSIONS

Prophylactic haloperidol use does not affect long-term quality of life in critically ill patients at high risk for delirium. Several factors, including the modifiable factor number of sedation-induced coma days, are associated with decline in long-term outcomes.

Development of a Tool for the Assessment of Nurses' Attitudes Toward Delirium

BACKGROUND AND PURPOSE

The prevalence of delirium during hospitalization is high in older patients and there is evidence of staff regarding them as unpopular or a burden. This study aims to develop an instrument examining nurses' attitudes toward patients with delirium.

METHODS

Stages included (a) content identification, (b) content development, (c) content critique, (e) pilot study with a test-retest reliability, (f) field study consisting of psychometric testing of the internal consistency and construct validity.

RESULTS

The Cronbach's alpha was 0.89 and the stability reliability was acceptable. The factor analysis resulted in three factors explaining a total of 56.5% of the variance. hese factors are "beliefs," "behavior," and "emotions," explaining 37.025%, 12.792%, and 5.652% of variance.

CONCLUSIONS

The Attitude Tool of Delirium (ATOD) is a reliable and valid instrument for the assessment of attitudes toward delirium.

Differences in 90-day mortality of delirium subtypes in the intensive care unit: A retrospective cohort study

INTRODUCTION

Many intensive care unit (ICU) patients suffer from delirium which is associated with deleterious short-term and long-term effects, including mortality. We determined the association between different delirium subtypes and 90-day mortality.

MATERIALS AND METHODS

Retrospective cohort study in ICU patients admitted in 2015-2017. Delirium, including its subtypes, was determined using the confusion assessment method-ICU (CAM-ICU) and Richmond agitation sedation scale (RASS). Exclusion criteria were insufficient assessments and persistent coma. Cox-regression analysis was used to determine associations of delirium subtypes with 90-day mortality, including relevant covariates (APACHE-IV, length of ICU stay and mechanical ventilation).

RESULTS

7362 ICU patients were eligible of whom 6323 (86%) were included. Delirium occurred in 1600 (25%) patients (stratified for delirium subtype: N = 571-36% mixed, N = 485-30% rapidly reversible, N = 433-27% hypoactive, N = 111-7% hyperactive). The crude hazard ratio (HR) for overall prevalent delirium with 90-day mortality was 2.84 (95%CI: 2.32-3.49), and the adjusted HR 1.29 (95%CI: 1.01-1.65). The adjusted HR for 90-day mortality was 1.57 (95%CI: 1.51-2.14) for the mixed subtype, 1.40 (95%CI: 0.71-2.73) for hyperactive, 1.31 (95%CI: 0.93-1.84) for hypoactive and 0.95 (95%CI: 0.64-1.42) for rapidly reversible delirium.

CONCLUSION

After adjusting for covariates, including competing risk factors, only the mixed delirium subtype was significantly associated with 90-day mortality.

Pharmacologic Considerations Surrounding Sedation, Delirium, and Sleep in Critically Ill Adults: A Narrative Review

INTRODUCTION

Agitation, delirium, and sleep dysfunction in the intensive care unit (ICU) are common occurrences that result in negative patient outcomes. With the recent publication of the 2018 Clinical Practice Guidelines for the Prevention and Management of Pain, Agitation/Sedation, Delirium, Immobility, and Sleep Disruption in Adult Patients in the ICU (PAD-IS), several areas are of particular interest due to emerging literature or conflicting results of research.

OBJECTIVE

To highlight areas where emerging literature or variable study results exist and to provide the clinician with recommendations regarding patient management.

METHODS

The 2018 PAD-IS guidelines were reviewed, and areas of emerging literature or lack of consensus of included investigations surrounding pharmacologic management of sedation, delirium, and sleep in the ICU were identified. A review and appraisal of the literature was conducted specifically to address the identified areas. Prospective, randomized trials were included in this narrative review.

RESULTS

Four areas with emerging data or conflicting evidence were identified and included: use of propofol or dexmedetomidine for sedation, pharmacologic prevention of delirium, treatment of delirium, and pharmacologic strategies to improve sleep.

CONCLUSION

A comprehensive approach to the prevention and management of delirium, sedation, and sleep in the ICU is necessary to optimize patient outcomes.

Validation of the Stanford Proxy Test for Delirium (S-PTD) among critical and noncritical patients

BACKGROUND

The Stanford Proxy Test for Delirium (S-PTD) is a tool developed to be completed by nurses at the end of their shift. It was designed to use the knowledge acquired during a full shift of nurse-patient interaction. The objective of our study was to validate the S-PTD among a mixed sample of patients in both the intensive care unit (ICU) and non-ICU settings.

METHODS

A cross-sectional study was conducted in an ICU and three general medical wards in a tertiary care hospital. Patients were independently and blindly assessed for delirium by (1) the patients' primary nurses using the S-PTD at the end of their shift, and (2) a Consultation liaison psychiatrist who conducted a neuropsychiatric evaluation based on the fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5).

RESULTS

A total 288 patients were included in current analysis. Using the S-PTD, delirium was identified in 72 (25.0%), while an expert neuropsychiatric examination, based on DSM-5 identified delirium in 75 (26.0%) patients. This study demonstrated that the S-PTD has very strong discriminative ability (area under the curve= 0.946, p<0.001). An S-PTD cut-off score ≥3 was associated with an 82.7% sensitivity, an 95.3% specificity, an 86.1% positive predictive value, a 94.0% negative predictive value, and a 92.0% overall diagnostic accuracy. These results were similar in both ICU and general ward patients.

CONCLUSION

The S-PTD has excellent sensitivity and specificity in detecting delirium in both ICU and ward patients, even when compared with the gold-standard, a DSM-based neuropsychiatric examination.

Effect of nonpharmacological interventions for the prevention of delirium in the intensive care unit: A systematic review and meta-analysis

PURPOSE

We aimed to classify nonpharmacological interventions used for preventing delirium in the intensive care unit (ICU), and estimate their effect size.

MATERIALS AND METHODS

In this systematic review and meta-analysis, the literature was searched and studies were selected based on the PRISMA flow chart. Data sources included MEDLINE, Cochrane, CINHAHL, PsyInfo, and EMBASE. We used Cochrane's Effective Practice and Organisation of Care (EPOC) criteria in study design and quality assessment of the meta-analysis.

RESULTS

This systematic review and meta-analysis included 35 and 15 studies, respectively. Studies were grouped into nine intervention types: multicomponent (16 studies), physical environment (9), daily interruption of sedation (2), exercise (2), patient education (2), automatic warning system (1), cerebral hemodynamics improving (1), family participation (1), and sedation reducing protocol (1). The effect size of preventive nonpharmacological interventions had an odds ratio (OR) of 0.66 (95% confidence interval [CI], 0.50-0.86) for delirium occurrence, and an OR of 0.31 (95% CI, 0.10-0.94) for delirium duration. Although relevant studies by interventions were lacking, a partial subgroup analysis by intervention was performed.

CONCLUSIONS

Nonpharmacological interventions were effective in reducing the duration and occurrence of delirium. Consistent application and development of nonpharmacological interventions for use in the ICU are important.