Delirium

Comprehensive signal detection of delirium-associated medication using the Food and Drug Administration Adverse Event Reporting System

OBJECTIVE

Several medications are associated with delirium; however, studies with adequate statistical power are limited, and it is difficult to determine the effects of the various concomitant medications used in clinical practice. Therefore, in this study, we aimed to comprehensively evaluate the safety signals of delirium-associated drugs using a spontaneous adverse event reporting system.

METHOD

The JAPIC AERS (Food and Drug Administration Adverse Event Reporting System pre-processed by the Japan Pharmaceutical Information Center) was used for the analysis in this pharmacovigilance study. The reporting odds ratio (ROR) for delirium was adjusted for using multivariate logistic regression analysis with sex, age, indication, and melatonin receptor agonist use, and 22 drug categories were targeted as covariates.

RESULTS

After excluding patients with missing information, 7,527,568 patients were included in the study. Delirium signals were detected even after adjusting for covariates in 17 drug categories, including benzodiazepines (adjusted ROR, 1.76; 95% confidence interval [CI], 1.64-1.89), opioids (adjusted ROR, 4.42; 95% CI, 4.21-4.64), and tricyclic antidepressants (adjusted ROR, 2.44; 95% CI, 2.20-2.71).

CONCLUSIONS

These findings suggest that many drug classes, such as benzodiazepines, are independent risk factors for delirium and strengthen the evidence of an association between delirium and medications.

Does Melatonin Decrease the Use of As-Needed Antipsychotics or Benzodiazepines in Noncritically Ill Hospitalized Patients? A Multicenter Retrospective Cohort Study

Background: Delirium is a common neuropsychiatric syndrome without an FDA-approved treatment. Commonly used modalities show little improvement in outcomes; therefore, prevention efforts are imperative. Abnormalities in the sleep/wake cycle have been linked to delirium, and melatonin has been proposed to replace the hypothesized low levels of endogenous melatonin and restore sleep/wake cycle synchronization. Objectives: The primary objective of this study was to evaluate the association between melatonin, benzodiazepines (BZDs) or zolpidem (ZLP), and the use of as-needed antipsychotics and BZDs for delirium in noncritically ill adult patients. Methods: This was a multicenter retrospective cohort study of noncritically ill adult patients admitted to two separate health systems from August 2012 to December 2018 receiving either melatonin or nonmelatonin medications (ZLP or BZDs) for sleep. The coprimary endpoint was the proportion of patients receiving a pro re nata (PRN) antipsychotic or BZD 5 days from the patient's first dose of melatonin, BZD, or ZLP. Secondary outcomes included evaluation of the coprimary outcome in patients 65 years of age or older, total number of PRN antipsychotic and BZD doses, and length of stay. Results: Two hundred and twenty-five patients were included in the final analysis. Administration of BZD or ZLP was associated with a higher risk of subsequent BZD administration as compared with melatonin (OR 2.78, 95% CI 1.2-1.87) and ZLP (OR 2.78, 95% CI 1.25-6.17). BZD or ZLP had no impact on PRN antipsychotic use compared with melatonin (OR 1.09, 95% CI 0.51-2.35) and ZLP (OR 1.16, 95% CI 0.56-2.4). Conclusion: Melatonin use was found to be associated with a significant decrease in PRN BZD use in noncritically ill patients hospitalized on general floors; however, there was no observed association with overall PRN antipsychotic use. These results suggest that using melatonin may help decrease utilization of medications commonly used to manage delirium.

Interpretable machine learning model for early prediction of delirium in elderly patients following intensive care unit admission: a derivation and validation study

Background and objective

Delirium is the most common neuropsychological complication among older adults admitted to the intensive care unit (ICU) and is often associated with a poor prognosis. This study aimed to construct and validate an interpretable machine learning (ML) for early delirium prediction in older ICU patients.

Methods

This was a retrospective observational cohort study and patient data were extracted from the Medical Information Mart for Intensive Care-IV database. Feature variables associated with delirium, including predisposing factors, disease-related factors, and iatrogenic and environmental factors, were selected using least absolute shrinkage and selection operator regression, and prediction models were built using logistic regression, decision trees, support vector machines, extreme gradient boosting (XGBoost), k-nearest neighbors and naive Bayes methods. Multiple metrics were used for evaluation of performance of the models, including the area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, recall, F1 score, calibration plot, and decision curve analysis. SHapley Additive exPlanations (SHAP) were used to improve the interpretability of the final model.

Results

Nine thousand seven hundred forty-eight adults aged 65 years or older were included for analysis. Twenty-six features were selected to construct ML prediction models. Among the models compared, the XGBoost model demonstrated the best performance including the highest AUC (0.836), accuracy (0.765), sensitivity (0.713), recall (0.713), and F1 score (0.725) in the training set. It also exhibited excellent discrimination with AUC of 0.810, good calibration, and had the highest net benefit in the validation cohort. The SHAP summary analysis showed that Glasgow Coma Scale, mechanical ventilation, and sedation were the top three risk features for outcome prediction. The SHAP dependency plot and SHAP force analysis interpreted the model at both the factor level and individual level, respectively.

Conclusion

ML is a reliable tool for predicting the risk of critical delirium in elderly patients. By combining XGBoost and SHAP, it can provide clear explanations for personalized risk prediction and more intuitive understanding of the effect of key features in the model. The establishment of such a model would facilitate the early risk assessment and prompt intervention for delirium.

Improving the Detection, Assessment, Management and Prevention of Delirium in Hospices (the DAMPen-D study): Feasibility study of a flexible and scalable implementation strategy to deliver guideline-adherent delirium care

BACKGROUND

Delirium is a complex condition, stressful for all involved. Although highly prevalent in palliative care settings, it remains underdiagnosed and associated with poor outcomes. Guideline-adherent delirium care may improve its detection, assessment and management.

AIM

To inform a future definitive study that tests whether an implementation strategy designed to improve guideline-adherent delirium care in palliative care settings improves patient outcomes (reduced proportion of in-patient days with delirium).

DESIGN

With Patient Involvement members, we conducted a feasibility study to assess the acceptability of and engagement with the implementation strategy by hospice staff (intervention), and whether clinical record data collection of process (e.g. guideline-adherent delirium care) and clinical outcomes (evidence of delirium using a validated chart-based instrument;) pre- and 12-weeks post-implementation of the intervention would be possible.

SETTING/PARTICIPANTS

In-patient admissions in three English hospices.

RESULTS

Between June 2021 and December 2022, clinical record data were extracted from 300 consecutive admissions. Despite data collection during COVID-19, target clinical record data collection (n = 300) was achieved. Approximately two-thirds of patients had a delirium episode during in-patient stay at both timepoints. A 6% absolute reduction in proportion of delirium days in those with a delirium episode was observed. Post-implementation improvements in guideline-adherent metrics include: clinical delirium diagnosis 15%-28%; delirium risk assessment 0%-16%; screening on admission 7%-35%.

CONCLUSIONS

Collection of data on delirium outcomes and guideline-adherence from clinical records is feasible. The signal of patient benefit supports formal evaluation in a large-scale study.

The effect of nonpharmacological interventions applied by nurses to intensive care patients on the duration of delirium: a meta-analysis study

OBJECTIVE

It was aimed to determine the effect level of nonpharmacological methods applied by nurses to patients hospitalized in the intensive care unit on the duration of delirium.

MATERIALS AND METHODS

For this study, relevant studies were accessed by searching in July-October 2022. After the necessary exclusions were made, 14 studies were included in the study. The total sample size of the studies was 1123.

RESULTS

According to the results, nonpharmacological interventions applied by nurses to intensive care patients were found to reduce the duration of delirium (SMD: - 0.625, 95% CI: - 1.1040-0.210; Z =  - 2.950, p = 0.003, I2 = 93.119%). The country of the study (SMD: - 0.047, p = 0.001) and the types of nonpharmacological interventions used (SMD: - 0.062, p = 0.000) influenced the effect size of modulators on the duration of delirium in ICU patients.

CONCLUSION

Nonpharmacological interventions applied by nurses, who have significant responsibilities in the protection and promotion of health, were found to reduce the duration of delirium in intensive care patients. This study shows that nurses, one of the main components of the multidisciplinary team in intensive care, are successful when they apply nonpharmacological interventions well.

Nursing experiences and knowledge of paediatric delirium: Analysing knowledge-practice gaps

BACKGROUND

Delirium commonly occurs in paediatric patients with acute critical illness and negatively affects clinical outcomes. Variations in delirium knowledge levels and its management have been noted among nurses.

AIMS

This study investigated nurses' experiences and knowledge levels regarding paediatric delirium. Additionally, we aimed to assess the gap between knowledge levels and practical experiences with paediatric delirium.

STUDY DESIGN

This cross-sectional descriptive study conveniently sampled paediatric nurses from a university hospital in South Korea between September 2022 and March 2023. Nursing experiences with paediatric delirium and delirium knowledge levels were measured using structured survey questionnaires. Delirium knowledge was scored 0 to 47, and higher scores indicated higher levels of delirium-related knowledge. Data were analysed using descriptive statistics and presented as mean, standard deviation, frequency and percentage.

RESULTS

A total of 127 paediatric nurses participated in this study; 40.2% had experience with 1-5 delirium cases in the previous year, and 86.6% (n = 110) had never used assessment tools for paediatric delirium assessment. The mean total delirium knowledge score was 34.45 ± 5.4; the mean scores of knowledge regarding aetiology, signs and symptoms and nursing management of delirium were 8.93 ± 1.31, 13.24 ± 2.81 and 12.3 ± 2.7, respectively. Interventions associated with a lower level of delirium-related knowledge and a lower performance rate included avoiding restraint use and maintaining hydration and electrolyte levels. Interventions associated with a higher level of delirium-related knowledge but a lower rate of performance comprised providing orientation, offering emotional support, allowing participants to stay with family members and administering medications to manage delirium.

CONCLUSIONS

Although nurses working in paediatric units exhibited high rate of delirium nursing care, there was the gap between their delirium-related knowledge and practice. Nurses need to be aware of the insufficient part of delirium care, and paediatric delirium education should be reinforced.

RELEVANCE TO CLINICAL PRACTICE

Preventing, assessing and systematically managing paediatric delirium is crucial, and considering the study results, delirium education among nurses is needed.

Short-Term Effect of Quetiapine Used to Treat Delirium Symptoms on Opioid and Benzodiazepine Requirements in the Pediatric Cardiac Intensive Care Unit

Opioids or benzodiazepines use is known to increase the risk of delirium. The prevalence of delirium is high in pediatric cardiac intensive care units (CICUs) with associated morbidity and mortality. We investigate the short-term effects of quetiapine, an atypical antipsychotic medication, on opioid and benzodiazepine requirements, and any associated adverse events as we utilize quetiapine to treat delirium symptoms in this single-center, retrospective study. Twenty-eight patients who received quetiapine between January 2018 and June 2019 in the CICU met inclusion criteria for the analysis. The quetiapine initiation dose was 0.5 mg/kg/dose every 8 h and we allowed 48 h for quetiapine to reach a steady state. Overall opioid and benzodiazepine requirements were compared 72 h before and 72 h after the quetiapine steady state. There was a statistically significant reduction in the total daily opioid (p = 0.001) and benzodiazepine (p = 0.01) amounts following quetiapine initiation. There was also a statistically significant decrease in the total number of daily PRNs requirement for both opioids (p < 0.001) and benzodiazepines (p = 0.03). Nine out of 13 patients were completely weaned off continuous opioid drips following quetiapine initiation (p = 0.01). The presence of steady-state habituation medications, including methadone or lorazepam, did not have any statistically significant effect on weaning continuous opioid (p = 0.18) or benzodiazepine (p = 0.62) drips. There was no statistically significant effect of quetiapine on the QTc interval after quetiapine initiation (p = 0.58) with no clinically significant arrhythmias observed during the study period. Our study demonstrates a statistically significant reduction in opioid and benzodiazepine requirements following quetiapine initiation to treat delirium symptoms without significant adverse effects in patients with congenital heart disease in the short term.

Risk factors, preventive interventions, overlapping symptoms, and clinical measures of delirium in elderly patients

Delirium is an acute reversible neuropsychiatric syndrome caused by multiple factors. It is associated with many adverse clinical outcomes including cognitive impairment, functional decline, prolonged hospitalization, and increased nursing service. The prevalence of delirium was high in department of cardiology, geriatric, and intensive care unit of hospital. With the increase in the aged population, further increases in delirium seem likely. However, it remains poorly recognized in the clinical practice. This article comprehensively discusses the latest research perspectives on the epidemiological data, risk factors, preventive interventions, overlapping symptoms, and clinical measures of delirium, including specific measures to manage delirium in clinical real-world situations. This article helps readers improve their knowledge and understanding of delirium and helps clinicians quickly identify and implement timely therapeutic measures to address various delirium subtypes that occur in the clinical settings to ensure patients are treated as aggressively as possible.

The phenotype of delirium based on a close reading of diagnostic criteria

OBJECTIVE

Although delirium is well known to acute care clinicians, the features required for its diagnosis and how to understand and operationalize them remain sticking points in the field. To clarify the delirium phenotype, we present a close reading of past and current sets of delirium diagnostic criteria.

METHODS

We first differentiate the delirium syndrome (i.e., features evaluated at bedside) from additional criteria required for diagnosis. Next, we align related features across diagnostic systems and examine them in context to determine intent. Where criteria are ambiguous, we review common delirium instruments to illustrate how they have been interpreted.

RESULTS

An acute disturbance in attention is universally attested across diagnostic systems. A second core feature denotes confusion and has been included across systems as disturbance in awareness, impaired consciousness, and thought disorganization. This feature may be better understood as a disturbance in thought clarity and operationalized in terms of neuropsychological domains thereby clearly linking it to global neurocognitive disturbance. Altered level of activity describes a third core feature, including motor and sleep/wake cycle disturbances. Excluding stupor (wherein mental content cannot be assessed due to reduced arousal) from delirium, as in DSM-5-TR, is appropriate for a psychiatric diagnosis, but the brain injury exclusion in ICD-11 is unjustified.

CONCLUSIONS

The delirium phenotype involves a disturbance in attention, qualitative thought clarity, and quantitative activity level, including in relation to expected sleep/wake cycles. Future diagnostic systems should include a severity threshold and specify that delirium diagnosis refers to a 24-h period.

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records

Delirium is a syndrome of acute brain failure which is prevalent amongst older adults in the Intensive Care Unit (ICU). Incidence of delirium can significantly worsen prognosis and increase mortality, therefore necessitating its rapid and continual assessment in the ICU. Currently, the common approach for delirium assessment is manual and sporadic. Hence, there exists a critical need for a robust and automated system for predicting delirium in the ICU. In this work, we develop a machine learning (ML) system for real-time prediction of delirium using Electronic Health Record (EHR) data. Unlike prior approaches which provide one delirium prediction label per entire ICU stay, our approach provides predictions every 12 hours. We use the latest 12 hours of ICU data, along with patient demographic and medical history data, to predict delirium risk in the next 12-hour window. This enables delirium risk prediction as soon as 12 hours after ICU admission. We train and test four ML classification algorithms on longitudinal EHR data pertaining to 16,327 ICU stays of 13,395 patients covering a total of 56,297 12-hour windows in the ICU to predict the dynamic incidence of delirium. The best performing algorithm was Categorical Boosting which achieved an area under receiver operating characteristic curve (AUROC) of 0.87 (95% Confidence Interval; C.I, 0.86-0.87). The deployment of this ML system in ICUs can enable early identification of delirium, thereby reducing its deleterious impact on long-term adverse outcomes, such as ICU cost, length of stay and mortality.

Delta power during sleep is modulated by EEG-gated auricular vagal afferent nerve stimulation (EAVANS)

Vagus nerve stimulation (VNS) has many clinical applications under development. In particular, there is a large interest in transcutaneous auricular VNS (taVNS) because it is non-invasive and provides easy access to neuromodulation. The present study proposes a novel approach for electroencephalography (EEG)-gated taVNS, with the ultimate goal of enhancing therapeutic outcomes, including for the treatment of delirium. Delirium arises from an altered state of consciousness and is the most common neuropsychiatric disorder observed in hospitalized patients, especially the elderly. Delirium has been linked to specific disturbances in EEG rhythms. Here, we propose an EEG-gated auricular vagal afferent nerve stimulation (EAVANS) approach to deliver stimulation targeting a specific instantaneous phase of the EEG Delta rhythm to modulate arousal and downstream reduction of neuroinflammation, two of the contributing factors to delirium. We hypothesize that treatment with EAVANS will modulate Delta power, which has been linked with delirium. As dominant Delta power is also a typical feature of non-rapid eye movement (NREM) sleep, we applied a prototype of an EAVANS device on healthy volunteers during sleep to establish preliminary validation. We successfully employed our closed-loop approach to target vagal afference during the rising Delta phase in the range [-π/2 0] radians. We found a significant reduction in Delta wave power for stimulation during the rising Delta phase compared to 1) absence of stimulation, 2) active stimulation during the descending Delta phase, and 3) active stimulation targeting non-vagal territory (i.e. greater auricular nerve) during the rising Delta phase. Further validation of our EEG-gated taVNS approach in the peri-operative period will be needed. As there is presently a lack of effective treatments for delirium, our non-pharmacological and non-invasive approach, if validated, could be easily deployed in clinical settings.Clinical Relevance- Given the serious health consequences and costs associated with delirium, and the absence of effective non-pharmacological treatments, the proposed neuromodulatory approach may be a promising option for reducing delirium and other disorders of consciousness. Our EAVANS prototype system has been tested on healthy volunteers during a NREM sleep state and will require further validation in different patient populations to optimize the proposed technology and gather more evidence to support its clinical utility. This novel non-pharmacological and non-invasive closed-loop neuromodulatory device could be used peri-operatively and in inpatient hospital settings to treat patients at risk of developing delirium. For instance, in a pre-operative setting, this technology may provide an effective preventative "pre-habilitation" approach for patients at high risk of developing delirium. Post-operatively, our technology may help manage patients with delirium more effectively.

The occurrence of delirium diagnosis among youth hospitalizations in the United States: A Kids' Inpatient Database analysis

OBJECTIVES

Delirium is an acute neuropsychiatric condition associated with increased morbidity and mortality. There is increasing recognition of delirium as a substantial health burden in younger patients, although few studies have characterized its occurrence. This study analyzes the occurrence of delirium diagnosis, its comorbidities, and cost among youth hospitalized in the United States.

METHODS

The Kids' Inpatient Database, a national all-payers sample of pediatric hospitalizations in general hospitals, was examined for the year 2019. Hospitalizations with a discharge diagnosis of delirium among patients aged 1-20 years were included in the analysis.

RESULTS

Delirium was diagnosed in 43,138 hospitalizations (95% CI: 41,170-45,106), or 2.3% of studied hospitalizations. Delirium was diagnosed in a broad range of illnesses, with suicide and self-inflicted injury as the most common primary discharge diagnosis among patients with delirium. In-hospital mortality was seven times greater in hospitalizations caring a delirium diagnosis. The diagnosis of delirium was associated with an adjusted increased hospital cost of $8648 per hospitalization, or $373 million in aggregate cost.

CONCLUSIONS

Based on a large national claims database, delirium was diagnosed in youth at a lower rate than expected based on prospective studies. The relative absence of delirium diagnosis in claims data may reflect underdiagnosis, a failure to code, and/or a lower rate of delirium in general hospitals compared with other settings. Further research is needed to better characterize the incidence and prevalence of delirium in young people in the hospital setting.

Risk for post-operative delirium related to comorbidities in older adult cardiac patients: An integrative review

BACKGROUND

Delirium is defined as a sudden onset of confusion due to disruption in normal brain functioning. Although it is highly prevalent in post-operative patients, most significantly the older adult population, limited information exists explaining why its onset occurs.

PURPOSE

This integrative review aimed to synthesise specific comorbidities that can contribute to the development of post-operative delirium in older adult cardiac surgical patients.

METHODS

PRISMA statement was used to report the identification, selection, appraisal and synthesis of articles and the PRISMA diagram reports the selection process. The Johns Hopkins Evidence-Based Practice Tools were used as guide in literature review, critical analysis, levelling of evidence and quality rating. PubMed, ProQuest, CINAHL plus, EMBASE, MEDLINE, Ovid Nursing Collection and Cochrane databases were searched from 2015 to 2020.

RESULTS

The initial search yielded 1529 articles. Following the removal of duplicates and screening, 14 articles were included for this review. The following comorbidities were identified in the studies: Diabetes mellitus, atrial fibrillation, depression, impaired olfaction, pre-existing cerebrovascular disease, pre-existing cardiovascular disease, insomnia and frailty.

CONCLUSION

There was a strong indication of the development of post-operative delirium among older adult cardiac surgical patients with comorbidities.

RELEVANCE TO CLINICAL PRACTICE

Awareness of the impact of comorbidities in developing post-operative delirium may help healthcare providers to plan and implement proper care management among older adult cardiac surgical patients with comorbidities.

A Review of Biomarkers in Delirium Superimposed on Dementia (DSD) and Their Clinical Application to Personalized Treatment and Management

Delirium superimposed on dementia (DSD) occurs when patients with pre-existing dementia develop delirium. This complication causes patients to become impaired, posing safety concerns for both hospital staff and patients. Furthermore, there is an increased risk of worsening functional disability and death. Despite medical advances, DSD provides both diagnostic and therapeutic challenges to providers. Identifying at-risk patients and providing personalized medicine and patient care can decrease disease burden in a time-efficient manner. This review delves into bioinformatics-based studies of DSD in order to design and implement a personalized medicine-based approach. Our findings suggest alternative medical treatment methods based on gene-gene interactions, gene-microRNA (miRNA) interactions, gene-drug interactions, and pharmacogenetic variants involved in dementia and psychiatric disorders. We identify 17 genes commonly associated with both dementia and delirium including apolipoprotein E (ApoE), brain-derived neurotrophic factor (BDNF), catechol-O-methyltransferase (COMT), butyrylcholinesterase (BChE), acetylcholinesterase (AChE), DNA methyltransferase 1 (DNMT1), prion protein (PrP), tumor necrosis factor (TNF), serine palmitoyltransferase long chain base subunit 1 (SPTLC1), microtubule-associated protein tau (MAPT), alpha-synuclein (αS), superoxide dismutase 1 (SOD1), amyloid beta precursor protein (APP), neurofilament light (NFL), neurofilament heavy, 5-hydroxytryptamine receptor 2A (HTR2A), and serpin family A member 3 (ERAP3). In addition, we identify six main genes that form an inner concentric model, as well as their associated miRNA. The FDA-approved medications that were found to be effective against the six main genes were identified. Furthermore, the PharmGKB database was used to identify variants of these six genes in order to suggest future treatment options. We also looked at previous research and evidence on biomarkers that could be used to detect DSD. According to research, there are three types of biomarkers that can be used depending on the stage of delirium. The pathological mechanisms underlying delirium are also discussed. This review will identify treatment and diagnostic options for personalized DSD management.

Postoperative C-Reactive Protein Predicts Postoperative Delirium in Colorectal Cancer Following Surgery

Background

Postoperative delirium (POD) is a common complication in operative patients. Neuroinflammation has been reported to be a potential mechanism associated with the development of POD. Identifying available inflammatory markers such as C-reactive protein (CRP) would aid clinicians in early detection of POD. Previous studies have demonstrated that CRP may be a promising predictive marker for POD. Thus, this study aimed to explore the association between CRP and POD among those elderly colorectal cancer (CRC) patients.

Methods

643 patients with CRC were included in this study. CRP levels were measured before operation and on postoperative day 1. The univariate and multivariate regression analyses were used to identify risk factors for POD.

Results

Of 643 patients with CRC, 112 cases (17.4%) had POD. CRC patients with POD showed older age, higher CRP level on postoperative day 1, and higher percentage of smoking, diabetes mellitus, and chronic obstructive pulmonary disease (COPD) than CRC patients without POD. Preoperative CRP level was not associated with the POD. Univariate and multivariate regression analyses showed that older age (> 70 years), diabetes mellitus, COPD, and higher CRP level on postoperative day 1 (> 48 mg/L) were risk factors for POD in CRC patients.

Conclusion

Postoperative CRP level is an independent indicator for POD among CRC patients, suggesting the predictive role of postoperative CRP levels for POD in elderly CRC patients undergoing surgery.

Revelations of delirium subtype research: A bibliometric analysis of publications in the past twenty years in the field

BACKGROUND

Delirium is an acute confusion state that is common and costly. According to different clinical manifestations, delirium can be divided into three subtypes: hyperactive, hypoactive and mixed. Subtype research has become a necessary branch. However, it is difficult to record all the changes in subtype research.

METHODS

Publications on delirium subtypes in the Web of Science Core Collection (WOSCC) were identified and analyzed by visualization software VOSviewer and CiteSpace.

RESULTS

A total of 247 articles published from 1999 to 2022 were identified in the WOSCC, and the largest number of articles was published in 2021 (n = 33). The top three countries that contributed publications were the USA (n = 75), Ireland (n = 26), and the United Kingdom (n = 25), which communicated more often and focused on delirium subtypes earlier. Critical Care Medicine published the most articles regarding delirium subtypes, with 11 publications. Three instrument validation studies were cited most frequently. Six clusters were summarized, including descriptions of delirium among elderly people, delirium research, postoperative delirium, delirium motor subtype validation, critical delirium, and motor characteristics. The "postoperative delirium", "intensive care unit", and "cardiac surgery" keywords were seen in recent years.

CONCLUSION

Based on this bibliometric analysis of the publications in the last twenty years, a comprehensive analysis of the literature clarified the contributions, changes, and evolution regarding delirium subtypes. This research can provide medical staff and researchers with revelations into future directions of delirium subtype advancements.

Plasma biomarkers and delirium in critically ill patients after cardiac surgery: A prospective observational cohort study

BACKGROUND

Delirium is common in postoperative critically ill patients and may affect by intraoperative events. Biomarkers are vital indicators in the development and prediction of delirium.

OBJECTIVES

This study aimed to investigate the associations between various plasma biomarkers and delirium.

METHODS

We performed a prospective cohort study on cardiac surgery patients. Delirium assessment was performed twice daily using the confusion assessment method for the intensive care unit (ICU), and the Richmond Agitation Sedation Scale was used to assess the depth of sedation and agitation. Blood samples were collected on the day after ICU admission, and the concentrations of cortisol, interleukin (IL)-1β, IL-6, tumor necrosis factor α, soluble tumor necrosis factor receptor-1 (sTNFR-1), and sTNFR-2 were measured.

RESULTS

Delirium in the ICU was noted in 93 (29.2%, 95% CI 24.2-34.3) out of 318 patients (mean age 52 years, SD 12.0). The longer duration of cardiopulmonary bypass, aortic clamping and surgery, and higher plasma, erythrocytes, and platelet transfusion requirements were among the significant differences in intraoperative events between patients with and without delirium. Median levels of IL-6 (p = 0.017), TNF-α (p = 0.048), sTNFR-1 (p < 0.001), and sTNFR-2 (p = 0.001) were significantly higher in patients with delirium than in those without it. After adjusting for demographic variables and intraoperative events, only sTNFR-1 (odds ratio 6.83, 95% CI: 1.14-40.90) was associated with delirium.

CONCLUSIONS

Plasma IL-6, TNF-α, sTNFR-1, and sTNFR-2 levels were higher in ICU-acquired delirium patients after cardiac surgery. sTNFR-1 was a potential indicator of the disorder.

Antipsychotic Safety in Liver Disease: A Narrative Review and Practical Guide for the Clinician

BACKGROUND

Clinicians treating psychiatric disorders in medically ill patients need a comprehensive resource for comparing the risk and types of liver injury associated with antipsychotic therapy.

OBJECTIVE

We conducted a narrative review aimed at developing a comprehensive resource comparing antipsychotics with regard to risk of inducing or worsening liver injuries, types of liver injury, associated pharmacokinetic changes, dosing, monitoring, and patient counseling recommendations.

METHODS

We conducted database searches of LiverTox.nih.gov, DailyMed.nlm.nih.gov, and PubMed through June of 2022. Sources describing premarketing data, observational studies, case reports and case series of antipsychotic-induced liver injuries, types of hepatic dysfunction, interventions, recovery, and treatment for 15 antipsychotics were included. Duplicate reports were excluded. Antipsychotics were graded as low, low to moderate, moderate, moderate to high, or high risk for causing or worsening a liver disease.

RESULTS

Of the 1861 publications, 21 papers met criteria and were included. Evidence shows antipsychotic-induced liver dysfunction is uncommon to rare. Chlorpromazine, clozapine, and olanzapine pose the greatest risk of hepatoxicity; quetiapine and risperidone pose a moderate risk with haloperidol considered to pose low to moderate risk. Paliperidone, aripiprazole, lurasidone, and loxapine are lower-risk agents with no reports of liver failure. Transaminitis that is mild and self-limiting is the most common antipsychotic-induced liver injury followed by hepatocellular disease, steatosis, and mixed liver injury. A careful risk-benefit analysis should guide the decision to discontinue the antipsychotic in cases of severe liver disease. Dose adjustments and careful monitoring are recommended for a mild to moderate disease when the benefits of treating psychosis outweigh the risks. Patients without an existing liver disease initiating a treatment with a higher-risk antipsychotic should be counseled to report symptoms of liver injuries along with regular lab monitoring.

CONCLUSIONS

Antipsychotic selection, dosing, monitoring, and counseling should be individualized based on whether a patient has an existing liver disease and if they are receiving an agent that poses a higher risk of liver injury. The consultation-liaison psychiatry provider can guide the primary team in management through thoughtful integration of the known pathophysiologic changes in hepatic disease and risk-benefit analysis of antipsychotic safety profiles.

Incidence, characteristics and risk factors of delirium in the intensive care unit: An observational study

AIMS AND OBJECTIVE

To investigate the incidence, characteristics and risk factors of delirium in the ICU.

BACKGROUND

Identifying the risk factors of delirium is important for early detection and to prevent adverse consequences.

DESIGN

An observational cohort study conducted according to STROBE Guidelines.

METHOD

The study was conducted with patients who stayed in ICU ≥24 h and were older than 18 years. Patients were assessed twice daily using the RASS and CAM-ICU until either discharge or death. Cumulative incidence was calculated. Demographic/clinical characteristics, length of stay and mortality were compared between patients with and without delirium. A logistic regression model was used to investigate risk factors.

RESULTS

The incidence of delirium was 31.8% and hypoactive type was the most frequent (41.5%). The median onset of delirium was 3 days (IQR = 2) with a mean duration of 5.27 ± 2.32 days. Patients with delirium were significantly older, had higher APACHE-II, SOFA and CPOT scores, higher blood urea levels, higher requirements for mechanical ventilation, sedation and physical restraints, longer stays in the ICU and higher mortality than those without delirium. The logistic regression analysis results revealed that a CPOT score ≥3 points (OR = 4.70, 95% CI: 1.05-20.93; p = .042), physical restraint (OR = 10.40, 95% CI: 2.75-39.27; p = .001) and ICU stay ≥7 days (OR = 7.26, 95% CI: 1.60-32.84; p = .010) were independent risk factors of delirium.

CONCLUSIONS

In this study, the incidence of delirium was high and associated with several factors. It is critical that delirium is considered by all members of the healthcare team, especially nurses, and that protocols are established for improvements.

RELEVANCE TO THE CLINICAL PRACTICE

Based on the results of this study, delirium could be decreased by preventing the presence of pain, prudent use of physical restraints and shortening the ICU stay.

Deliriogenic Medication Prescribing and Delirium in Hospitalized, Non-Critically Ill Older People

Objective Describe the incidence of delirium and associated outcomes among hospitalized, non-critically ill older people. Design Single-center, retrospective chart review. Setting A 217-bed academic teaching hospital in Cambridge, Massachusetts affiliated with Harvard Medical School. Patients People 65 years of age or older, admitted to a general medicine unit between January 1 and August 31, 2021, who were prescribed one or more deliriogenic medications prior to or during admission. Interventions Patient electronic medical records were reviewed for deliriogenic medications prescribed and administered during admission and associated clinical outcomes. Results The percentage of patients who developed delirium was 13% overall. The most implicated deliriogenic medications were benzodiazepines, antipsychotics, and histamine-2 receptor antagonists (H2RAs). Seventy-three percent of deliriogenic home medications were continued upon admission. Subgroup analyses of those with delirium had a mean length-of-stay of 20 days compared with 6 days in those who did not develop delirium. Those with delirium tended to have more deliriogenic medications used during admission. Conclusion This review describes the incidence of delirium for non-critically ill older people who were prescribed at least one deliriogenic medication. Of all the deliriogenic agents reviewed, moderate quality clinical evidence supports the association between use and development of delirium except for H2RAs, which have low-quality evidence. Pharmacist-driven efforts to deprescribe deliriogenic medications in at-risk patient populations may be better focused on agents with higher-quality evidence.

Fatores de risco associados ao delirium em idosos hospitalizados para tratamento clínico

Objetivo: identificar fatores de risco associados ao desenvolvimento de delirium em pessoas idosas hospitalizadas para tratamento clínico. Método: revisão integrativa da literatura. Busca realizada em fevereiro de 2022 através da aplicação de estratégia de busca em portais e bases de dados eletrônicas, como a Biblioteca Virtual em Saúde, o PubMed/MEDLINE e o Web of Science. Resultados: a busca resultou em 965 artigos. Após retirada de duplicatas, 583 tiveram títulos e resumos lidos. Respeitados critérios de elegibilidade, chegou-se a 127 estudos para leitura completa, dos quais 110 foram excluídos e 17 analisados, totalizando amostra de 6.170 pacientes. Foram incluídos estudos com pacientes ≥ 60 anos de idade, tratamento clínico, avaliação de fatores de risco para delirium; e excluídos estudos que utilizaram instrumentos não validados, relatos de casos, teses, monografias, artigos de revisão ou que não responderam à questão de pesquisa. Os fatores de risco mais encontrados foram a presença de déficit cognitivo e demência. Outros fatores também encontrados foram: idade avançada, presença de febre/infecção, desidratação, déficit funcional, uso de psicotrópicos antes do internamento, severidade das doenças de base, polifarmácia, déficit visual, dor ao repouso, presença de diabetes mellitus, fragilidade e tempo de internamento na emergência. Conclusões: os estudos apontam diversos fatores de risco associados ao delirium e destacam a relevância do reconhecimento do delirium pela equipe assistencial. Ação rápida e eficaz na prevenção do delirium em idosos depende da sua identificação. A equipe de saúde deve estar atenta durante o cuidado de populações vulneráveis para que o rastreio de sinais, muitas vezes flutuantes, seja facilitado.

Pharmacologic treatment of delirium symptoms: A systematic review

OBJECTIVE

We conducted an updated, comprehensive, and contemporary systematic review to examine the efficacy of existing pharmacologic agents employed for management of delirium symptoms among hospitalized adults.

METHODS

Searches of PubMed, Scopus, Embase, and Cochrane Library databases from inception to May 2021 were performed to identify studies investigating efficacy of pharmacologic agents for management of delirium.

RESULTS

Of 11,424 articles obtained from searches, a total of 33 articles (N = 3030 participants) of randomized or non-randomized trials, in which pharmacologic treatment was compared to active comparator, placebo, or no treatment, met all criteria and were included in this review. Medications used for management of delirium symptoms included antipsychotic medications (N = 27), alpha-2 agonists (N = 5), benzodiazepines (N = 2), antidepressants (n = 1), acetylcholinesterase inhibitors (N = 2), melatonin (N = 2), opioids (N = 1), and antiemetics (N = 2). Despite somewhat mixed findings and a relative lack of high-quality trials, it appears that antipsychotic medications (e.g., haloperidol, olanzapine, risperidone, or quetiapine) and dexmedetomidine have the potential to improve delirium outcomes.

CONCLUSIONS

Pharmacologic agents can reduce delirium symptoms (e.g., agitation) in some hospitalized patients. Additional double-blinded, randomized, placebo-controlled clinical trials are critically needed to investigate the efficacy of pharmacologic agents for diverse hospitalized populations (e.g., post-surgical patients, patients at the end-of-life, or in intensive care units).

Tangeretin prevents cognitive deficit in delirium through activating RORα/γ-E4BP4 axis in mice

Delirium is a common and serious neuropsychiatric syndrome characterized with acute cognitive and attentional deficits, however, the effective therapies are lacking. Here, using mouse models of delirium, we investigated the effects of tangeretin (TAN, a natural flavonoid) on cognitive impairment by assessing object preference with novel object recognition (NOR) test and spontaneous alternation with Y maze test. We found that TAN, as a RORα/γ agonist, prevented cognitive decline in delirious mice as evidenced by a normal novel object preference and increased spontaneous alternation. This was accompanied by decreased expression of ERK1/2, TNFα and IL-1β as well as diminished microglial activation in delirious mice. The protective effect of TAN on delirium was mainly attributed to increased hippocampal E4BP4 expression (a known target of RORs and a regulator of cognition in delirium through modulating the ERK1/2 cascade and microglial activation) via activation of RORα/γ. In addition, TAN treatment modulated the expression of RORα/γ target genes (such as E4bp4 and Bmal1) and inhibited the expression of TNFα and IL-1β in lipopolysaccharide (LPS)-stimulated cells, supporting a beneficial effect of TAN on delirium. In conclusion, TAN is identified as a RORα/γ agonist which promotes E4BP4 expression to prevent cognitive decline in delirious mice. Our findings may have implications for drug development of TAN for prevention and treatment of various diseases associated with cognitive deficiency.

New Antipsychotic Prescribing Continued into Skilled Nursing Facilities Following a Heart Failure Hospitalization: a Retrospective Cohort Study

BACKGROUND

Multimorbidity and polypharmacy are common among individuals hospitalized for heart failure (HF). Initiating high-risk medications such as antipsychotics may increase the risk of poor clinical outcomes, especially if these medications are continued unnecessarily into skilled nursing facilities (SNFs) after hospital discharge.

OBJECTIVE

Examine how often older adults hospitalized with HF were initiated on antipsychotics and characteristics associated with antipsychotic continuation into SNFs after hospital discharge.

DESIGN

Retrospective cohort.

PARTICIPANTS

Veterans without prior outpatient antipsychotic use, who were hospitalized with HF between October 1, 2010, and September 30, 2015, and were subsequently discharged to a SNF.

MAIN MEASURES

Demographics, clinical conditions, prior healthcare utilization, and antipsychotic use data were ascertained from Veterans Administration records, Minimum Data Set assessments, and Medicare claims. The outcome of interest was continuation of antipsychotics into SNFs after hospital discharge.

KEY RESULTS

Among 18,008 Veterans, antipsychotics were newly prescribed for 1931 (10.7%) Veterans during the index hospitalization. Among new antipsychotic users, 415 (21.5%) continued antipsychotics in skilled nursing facilities after discharge. Dementia (adjusted OR (aOR) 1.48, 95% CI 1.11-1.98), psychosis (aOR 1.62, 95% CI 1.11-2.38), proportion of inpatient days with antipsychotic use (aOR 1.08, 95% CI 1.07-1.09, per 10% increase), inpatient use of only typical (aOR 0.47, 95% CI 0.30-0.72) or parenteral antipsychotics (aOR 0.39, 95% CI 0.20-0.78), and the day of hospital admission that antipsychotics were started (day 0-4 aOR 0.36, 95% CI 0.23-0.56; day 5-7 aOR 0.54, 95% CI 0.35-0.84 (reference: day > 7 of hospital admission)) were significant predictors of continuing antipsychotics into SNFs after hospital discharge.

CONCLUSIONS

Antipsychotics are initiated fairly often during HF admissions and are commonly continued into SNFs after discharge. Hospital providers should review antipsychotic indications and doses throughout admission and communicate a clear plan to SNFs if antipsychotics are continued after discharge.

Improving the Detection, Assessment, Management and Prevention of Delirium in Hospices (the DAMPen-D study): protocol for a co-design and feasibility study of a flexible and scalable implementation strategy to deliver guideline-adherent delirium care

INTRODUCTION

Delirium is a complex condition in which altered mental state and cognition causes severe distress and poor clinical outcomes for patients and families, anxiety and stress for the health professionals and support staff providing care, and higher care costs. Hospice patients are at high risk of developing delirium, but there is significant variation in care delivery. The primary objective of this study is to demonstrate the feasibility of an implementation strategy (designed to help deliver good practice delirium guidelines), participant recruitment and data collection.

METHODS AND ANALYSIS

Three work packages in three hospices in the UK with public involvement in codesign, study management and stakeholder groups: (1) experience-based codesign to adapt an existing theoretically-informed implementation strategy (Creating Learning Environments for Compassionate Care (CLECC)) to implement delirium guidelines in hospices; (2) feasibility study to explore ability to collect demographic, diagnostic and delirium management data from clinical records (n=300), explanatory process data (number of staff engaged in CLECC activities and reasons for non-engagement) and cost data (staff and volunteer hours and pay-grades engaged in implementation activities) and (3) realist process evaluation to assess the acceptability and flexibility of the implementation strategy (preimplementation and postimplementation surveys with hospice staff and management, n=30 at each time point; interviews with hospice staff and management, n=15). Descriptive statistics, rapid thematic analysis and a realist logic of analysis will be used be used to analyse quantitative and qualitative data, as appropriate.

ETHICS AND DISSEMINATION

Ethical approval obtained: Hull York Medical School Ethics Committee (Ref 21/23), Health Research Authority Research Ethics Committee Wales REC7 (Ref 21/WA/0180) and Health Research Authority Confidentiality Advisory Group (Ref 21/CAG/0071). Written informed consent will be obtained from interview participants. A results paper will be submitted to an open access peer-reviewed journal and a lay summary shared with study site staff and stakeholders.

TRIAL REGISTRATION NUMBER

ISRCTN55416525.

Early Diagnosis of Delirium in Palliative Care Patients Decreases Mortality and Necessity of Palliative Sedation: Results of a Prospective Observational Study

Introduction: Delirium in end-of-life patients is reported to be between 13% and 42% and up to 80% in the terminal phase. It is a serious clinical situation, often a cause of death due to the frequent ineffectiveness of treatments. This study aimed to assess whether and how much precocity of diagnosis, hitherto little considered, could affect the outcomes and prognosis of delirium in palliative care settings.

Methods: Patients consecutively admitted to a palliative care unit (PCU) between October 2018 and December 2019, cared for both in hospice and home programs, were analyzed. All patients were subjected to a careful procedure aimed at recognizing the onset of delirium. The first step was the detection of prodromal "sentinel" symptoms related to incoming delirium. PCU staff and family members/caregivers were trained to observe the patients and immediately identify the appearance of even one symptom. The final diagnosis was performed with the 4AT (4 A’s test). Patients were then included in the categories of "early" or "slow" diagnosis (cut-off: four hours) depending on the time between sentinel symptom observation and the final diagnosis of delirium.

Results: Among 503 admitted patients, 95 developed delirium. Confusion was the most frequent sentinel symptom (49.5%). The early diagnosis was more frequent in hospice than in home care (p-value<0.0001). Delirium was positively resolved in 43 patients, of which 25 with an early diagnosis (p-value=0.038). Time to resolution was shorter in the case of early diagnosis (7.1 vs. 13.7 hours in hospice patients; p-value=0.018). Palliative sedation was performed on 25 patients, but only 8 of them had an early diagnosis.

Conclusion: Time of diagnosis was important in determining the clinical outcomes of patients in charge of PCU who experienced delirium. The early diagnosis reduced both mortality and the necessity of palliative sedation.

Clinical Significance of Delirium With Catatonic Signs in Patients With Neurological Disorders

OBJECTIVE

According to DSM-5, catatonia and delirium are mutually exclusive clinical syndromes. The investigators explored the co-occurrence of delirium and catatonia (i.e., catatonic delirium) and the clinical significance of this syndrome with a sample of neurological patients.

METHODS

This prospective study with consecutive sampling included patients diagnosed with delirium at the National Institute of Neurology and Neurosurgery of Mexico. DSM-5 criteria for delirium, the Confusion Assessment Method, and the Delirium Rating Scale-Revised-98 were used to select and characterize patients. Catatonia was assessed using the Bush-Francis Catatonia Rating Scale and DSM-5 diagnostic criteria. Logistic regression analysis was performed to identify etiological factors associated with catatonic delirium.

RESULTS

A total of 264 patients with delirium were included, 61 (23%) of whom fulfilled the criteria for catatonia and delirium simultaneously. Brain tumors, subarachnoid hemorrhage, acute hydrocephalus, and ischemic stroke were associated with delirium without catatonic signs. Catatonic delirium was observed among patients with encephalitis, epilepsy, brain neoplasms, and brain tuberculosis. After multivariate analysis, the association between catatonic delirium and encephalitis (both viral and anti-N-methyl-d-aspartate receptor [NMDAR]) was confirmed.

CONCLUSIONS

Delirium is a common complication of neurological diseases, and it can coexist with catatonia. The recognition of catatonic delirium has clinical significance in terms of etiology, as it was significantly associated with viral and anti-NMDAR encephalitis.

Development and Validation of Simplified Delirium Prediction Model in Intensive Care Unit

BACKGROUND

The intensive care unit (ICU) is where various medical staffs and patients with diverse diseases convene. Regardless of complexity, a delirium prediction model that can be applied conveniently would help manage delirium in the ICU.

OBJECTIVE

This study aimed to develop and validate a generally applicable delirium prediction model in the ICU based on simple information.

METHODS

A retrospective study was conducted at a single hospital. The outcome variable was defined as the occurrence of delirium within 30 days of ICU admission, and the predictors consisted of a 12 simple variables. Two models were developed through logistic regression (LR) and random forest (RF). A model with higher discriminative power based on the area under the receiver operating characteristics curve (AUROC) was selected as the final model in the validation process.

RESULTS

The model was developed using 2,588 observations (training dataset) and validated temporally with 1,109 observations (test dataset) of ICU patients. The top three influential predictors of the LR and RF models were the restraint, hospitalization through emergency room, and drainage tube. The AUROC of the LR model was 0.820 (CI 0.801-0.840) and 0.779 (CI 0.748-0.811) in the training and test datasets, respectively, and that of the RF model was 0.762 (CI 0.732-0.792) and 0.698 (0.659-0.738), respectively. The LR model showed better discriminative power (z = 4.826; P < 0.001).

CONCLUSION

The LR model developed with brief variables showed good performance. This simplified prediction model will help screening become more accessible.

Phenotypes and subphenotypes of delirium: a review of current categorisations and suggestions for progression

Delirium is a clinical syndrome occurring in heterogeneous patient populations. It affects 45-87% of critical care patients and is often associated with adverse outcomes including acquired dementia, institutionalisation, and death. Despite an exponential increase in delirium research in recent years, the pathophysiological mechanisms resulting in the clinical presentation of delirium are still hypotheses. Efforts have been made to categorise the delirium spectrum into clinically meaningful subgroups (subphenotypes), using psychomotor subtypes such as hypoactive, hyperactive, and mixed, for example, and also inflammatory and non-inflammatory delirium. Delirium remains, however, a constellation of symptoms resulting from a variety of risk factors and precipitants with currently no successful targeted pharmacological treatment. Identifying specific clinical and biological subphenotypes will greatly improve understanding of the relationship between the clinical symptoms and the putative pathways and thus risk factors, precipitants, natural history, and biological mechanism. This will facilitate risk factor mitigation, identification of potential methods for interventional studies, and informed patient and family counselling. Here, we review evidence to date and propose a framework to identify subphenotypes. Endotype identification may be done by clustering symptoms with their biological mechanism, which will facilitate research of targeted treatments. In order to achieve identification of delirium subphenotypes, the following steps must be taken: (1) robust records of symptoms must be kept at a clinical level. (2) Global collaboration must facilitate large, heterogeneous research cohorts. (3) Patients must be clustered for identification, validation, and mapping of subphenotype stability.

Psychiatry in the Digital Age: A Blessing or a Curse?

Social distancing and the shortage of healthcare professionals during the COVID-19 pandemic, the impact of population aging on the healthcare system, as well as the rapid pace of digital innovation are catalyzing the development and implementation of new technologies and digital services in psychiatry. Is this transformation a blessing or a curse for psychiatry? To answer this question, we conducted a literature review covering a broad range of new technologies and eHealth services, including telepsychiatry; computer-, internet-, and app-based cognitive behavioral therapy; virtual reality; digital applied games; a digital medicine system; omics; neuroimaging; machine learning; precision psychiatry; clinical decision support; electronic health records; physician charting; digital language translators; and online mental health resources for patients. We found that eHealth services provide effective, scalable, and cost-efficient options for the treatment of people with limited or no access to mental health care. This review highlights innovative technologies spearheading the way to more effective and safer treatments. We identified artificially intelligent tools that relieve physicians from routine tasks, allowing them to focus on collaborative doctor-patient relationships. The transformation of traditional clinics into digital ones is outlined, and the challenges associated with the successful deployment of digitalization in psychiatry are highlighted.

The Relevance and Added Value of Geriatric Medicine (GM): Introducing GM to Non-Geriatricians

Geriatric Medicine (GM) holds a crucial role in promoting health and managing the complex medical, cognitive, social, and psychological issues of older people. However, basic principles of GM, essential for optimizing the care of older people, are commonly unknown or undermined, especially in countries where GM is still under development. This narrative review aims at providing insights into the role of GM to non-geriatrician readers and summarizing the main aspects of the added value of a geriatric approach across the spectrum of healthcare. Health practitioners of all specialties are frequently encountered with clinical conditions, common in older patients (such as cancer, hypertension, delirium, major neurocognitive and mental health disorders, malnutrition, and peri-operative complications), which could be more appropriately managed under the light of the approach of GM. The role of allied health professionals with specialized knowledge and skills in dealing with older people's issues is essential, and a multidisciplinary team is required for the delivery of optimal care in response to the needs and aspirations of older people. Thus, countries should assure the educational background of all health care providers and the specialized health and social care services required to meet the demands of a rapidly aging society.

A Rare Case Report of a Corpus Callosal Splenial Lesion in the Context of Atypical Neuroleptic Malignant Syndrome

In this report, we describe a case of atypical neuroleptic malignant syndrome (NMS) presenting with an isolated lesion in the splenium of the corpus callosum (ILSCC). There is a paucity of information regarding this topic within the literature and only 7 previous case reports have been published at the time of writing. To our knowledge, this case report is also the first to describe an atypical NMS variant in the context of an ILSCC. In this report, we describe the important considerations in formulating differential diagnosis for ILSCC and are the first report to propose a possible pathophysiological mechanism relating ILSCC with NMS.

Periinterventional inflammation and blood transfusions predict postprocedural delirium after percutaneous repair of mitral and tricuspid valves

Objectives

The aim of this study was to examine predictors and impact of postoperative delirium (POD) on outcome after percutaneous repair of mitral and tricuspid valves.

Background

POD is common in elderly patients and contributes to increased health care costs and worse outcome. Predictors of POD in percutaneous mitral or tricuspid valve procedures are unclear.

Methods

In a prospective single-center study, patients were screened for POD using the Confusion Assessment Method on the first and second postprocedural days, and up until 7 days in patients with clinical suspicion of delirium. Associations of POD with baseline characteristics, periprocedural outcome and mid-term mortality were examined.

Results

One hundred and seventy-seven patients were included (median age 78 years [72–82], 41.8% female) and median (IQR) follow-up was 489 (293–704) days. Patients developing POD (n = 16, 9%) did not differ in baseline and procedural characteristics but more often received postinterventional blood transfusions (37.5% vs. 9.9%, p value = 0.007) and suffered from infections (43.8% vs. 9.9%, p value = 0.001). Patients with POD showed worse survival (HR: 2.71 [1.27–5.78]; p = 0.01), with an estimated 1-year survival of 46 ± 13% compared to 80 ± 3% in patients without POD (log-rank p value 0.007). In multivariate Cox regression, POD remained a significant predictor of mid-term mortality (HR 4.75 [1.97–11.5]; p = 0.001).

Conclusion

After percutaneous mitral or tricuspid valve repair, POD was independently associated with worse mid-term survival. Procedure- rather than patient-associated characteristics such as blood transfusions and infections emerged as important risk factors for development of POD. Considering the substantial prognostic impact of POD, further studies on its prevention are warranted to improve patient outcome.

SOP: treatment of delirium

INTRODUCTION

Delirium is a frequent complication in hospitalised patients, often leading to difficulties in patient management and is associated with increased morbidity and mortality. Most patients in intensive care units develop delirium, however, it is also frequently observed in non-intensive care unit settings. Risk factors are, among others, older age, brain pathology, severe trauma, orthopaedic or heart surgery, metabolic or electrolyte dysregulations, infections and polypharmacy. The most important measures to prevent and treat delirium are recognition and removal of risk factors and causes. Although delirium is a very common and serious complication, evidence for pharmacological treatment is poor, and guidelines remain controversial. Accordingly, non-pharmacological treatments have gained increasing attention and should be applied. Based on current literature, guidelines and personal recommendations, we developed a standard operating procedure (SOP) encompassing non-pharmacological and pharmacological treatment of delirium.

COMMENTS

In order to prevent delirium, risk factors should be identified and taken into account when planning the hospital stay and treatment. Prevention should include multimodal non-pharmacological interventions. The treatment of delirium should encompass the elimination of potential causes and non-pharmacological interventions. Pharmacological treatment should be used in a time-limited manner and in the lowest possible dose for the management of highly stressful symptoms or high-risk behaviour.

CONCLUSION

The SOP provides a pragmatic algorithm for the non-pharmacological and pharmacological treatment of delirium.

Characteristics and outcomes of COVID-19 inpatients who underwent psychiatric consultations

Patients hospitalized with COVID-19 are at risk of developing many neuropsychiatric disorders, due to the effects of the disease on the brain and the psychosocial pressures of having the disease. The aim of the present study was to evaluate the characteristics and outcomes of patients who were hospitalized with a diagnosis of COVID-19, who underwent psychiatric consultations. The medical records of 892 patients hospitalized due to COVID-19 and the 89 among them who requested psychiatric consultations were analyzed retrospectively. After the psychiatric consultations, patients were most frequently diagnosed with delirium (38.2 %), adjustment disorder (27.0 %), depressive disorder (19.1 %) and anxiety disorder (11.2 %). Patients with delirium had longer hospital stays (p < 0.001), were transferred more frequently to intensive care units (p < 0.001), and had higher mortality rates during their hospital stays (p < 0.001), than all other patients. The need for oxygen (p < 0.001) and mechanical ventilation (p < 0.001) was also significantly higher in delirium patients, as well as in patients who received other psychiatric diagnoses. Neuropsychiatric disorders develop in patients receiving inpatient treatments in COVID-19 wards, and these disorders negatively affect the prognosis of COVID-19. Our findings suggest that the presence of neuropsychiatric disorders in in-patients with COVID-19 might be associated with the negative outcomes of the disease.

Haloperidol and Quetiapine for the Treatment of ICU-Associated Delirium in a Tertiary Pediatric ICU: A Propensity Score-Matched Cohort Study

PURPOSE

The aim of this study was to evaluate outcomes of pediatric intensive care unit (PICU) patients with delirium treated with haloperidol or quetiapine compared with propensity-matched, untreated patients.

MATERIALS AND METHODS

A single-center retrospective cohort study was conducted including PICU admissions of ≥ 48 h for children ≥ 2 months old with a positive delirium screening score (Cornell Assessment of Pediatric Delirium ≥ 9). We generated propensity scores for the likelihood of receiving treatment with haloperidol or quetiapine using logistic regression, and matched untreated to treated patients 2:1 to compare outcomes between groups.

RESULTS

Among 846 eligible admissions, 27 were treated with haloperidol or quetiapine (3.2%). Time to first delirium-free score was similar for treated versus untreated patients. Treated patients had no significant change in delirium scores following treatment, while untreated patients' scores improved after the comparable matching time. Compared with untreated patients, haloperidol-treated patients had more subsequent days of delirium and exposure to neuromuscular blockade. Quetiapine-treated patients had more subsequent days of mechanical ventilation and exposure to neuromuscular blockade, longer PICU length of stay, and higher likelihood of functional decline at ICU discharge.

CONCLUSIONS

In our small, single-center study, patients treated with haloperidol or quetiapine showed no short-term improvement in delirium screening scores after starting treatment when compared with untreated, propensity score-matched patients. In addition, clinical outcomes were not improved or were worse among treated patients. A prospective trial is needed to evaluate whether antipsychotic medications benefit PICU patients with delirium.

Delirium screening tools in the emergency department: A protocol for systematic review and meta-analysis

BACKGROUND

Delirium is a common type of acute brain dysfunction among emergency department (ED) patients. The prevalence of delirium in the ED is up to 40%. Although screening instruments used to identify delirium have been developed, it is unclear which tool is the most accurate in the ED. To address this challenging, we systematically examine the accuracy of delirium screening tools used to assess the ED patients.

METHODS

This study has been registered at the International Platform of Registered Systematic Review and Meta-Analysis Protocols (INPLASY), and the registration number is INPLASY202110041. We will search the PubMed, EMBASE, PsycINFO, and the Cochrane Library. Studies involving patients which compared diagnostic instruments with the criteria in Diagnostic and Statistical Manual of Mental Disorders (DSM) as a reference standard will be included. We will use STATA 15.1 and MetaDiSC to make careful analysis of the results. The quality of included studies will be assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS)-2 scale.

RESULTS

In this study, the accuracy of different screening methods among ED patients is assessed by a high-quality synthesis. The number of tools available for screening delirium in the ED, the information of studies including the countries, the study design, the sample size and the characteristic of studies, the quality of the studies and the results of meta-analysis. The systematic review and meta-analysis will be published in a peer-reviewed journal.

CONCLUSION

According to the conclusion of the systematic review, evidence will be provided to judge which screening method is the best for the ED patients. The results will bring better understanding of screening methods in the ED and highlight gaps for future research.

A rapid review of the pathoetiology, presentation, and management of delirium in adults with COVID-19

Background COVID-19 causes significant morbidity and mortality. Despite the high prevalence of delirium and delirium-related symptoms in COVID-19 patients, data and evidence-based recommendations on the pathophysiology and management of delirium are limited. Objective We conducted a rapid review of COVID-19-related delirium literature to provide a synthesis of literature on the prevalence, pathoetiology, and management of delirium in these patients. Methods Systematic searches of Medline, Embase, PsycInfo, LitCovid, WHO-COVID-19, and Web of Science electronic databases were conducted. Grey literature was also reviewed, including preprint servers, archives, and websites of relevant organizations. Search results were limited to the English language. We included literature focused on adults with COVID-19 and delirium. Papers were excluded if they did not mention signs or symptoms of delirium. Results 229 studies described prevalence, pathoetiology, and/or management of delirium in adults with COVID-19. Delirium was rarely assessed with validated tools. Delirium affected >50% of all patients with COVID-19 admitted to the ICU. The etiology of COVID-19 delirium is likely multifactorial, with some evidence of direct brain effect. Prevention remains the cornerstone of management in these patients. To date, there is no evidence to suggest specific pharmacological strategies. Discussion Delirium is common in COVID-19 and may manifest from both indirect and direct effects on the central nervous system. Further research is required to investigate contributing mechanisms. As there is limited empirical literature on delirium management in COVID-19, management with non-pharmacological measures and judicious use of pharmacotherapy is suggested.

Delusion and Delirium in Neurodegenerative Disorders: An Overlooked Relationship?

Delusions are part of the neuropsychiatric symptoms that patients suffering from neurodegenerative conditions frequently develop at some point of the disease course and are associated with an increased risk of cognitive and functional decline. Delirium is a syndrome characterized by acute onset of deficits in attention, awareness, and cognition that fluctuate in severity over a short time period. Delusions and delirium are frequently observed in the context of neurodegeneration, and their presence can easily mislead clinicians toward a misdiagnosis of psychiatric disorder further delaying the proper treatment. Risk factors for developing delusion and delirium in neurodegenerative conditions have been investigated separately while the possible interplay between these two conditions has not been explored so far. With this study, we aim to achieve a more comprehensive picture of the relationship between delusions and delirium in neurodegeneration by analyzing prevalence and subtypes of delusions in different neurodegenerative disorders; providing an overview of clinical tools to assess delusions in neurodegenerative patients and how delusions are covered by delirium assessment tools and discussing the possible common pathophysiology mechanisms between delusion and delirium in neurodegenerative patients. A more extensive characterization of the relationship between delusions and delirium may help to understand whether delusions may constitute a risk factor for delirium and may ameliorate the management of both conditions in patients with neurodegenerative disorders.

Stratified delirium risk using prescription medication data in a state-wide cohort

OBJECTIVE

Delirium is a common condition associated with increased morbidity and mortality. Medication side effects are a possible source of modifiable delirium risk and provide an opportunity to improve delirium predictive models. This study characterized the risk for delirium diagnosis by applying a previously validated algorithm for calculating central nervous system adverse effect burden arising from a full medication list.

METHOD

Using a cohort of hospitalized adult (age 18-65) patients from the Massachusetts All-Payers Claims Database, we calculated medication burden following hospital discharge and characterized risk of new coded delirium diagnosis over the following 90 days. We applied the resulting model to a held-out test cohort.

RESULTS

The cohort included 62,180 individuals of whom 1.6% (1019) went on to have a coded delirium diagnosis. In the training cohort (43,527 individuals), the medication burden feature was positively associated with delirium diagnosis (OR = 5.75, 95% CI 4.34-7.63) and this association persisted (aOR = 1.95; 1.31-2.92) after adjusting for demographics, clinical features, prescribed medications, and anticholinergic risk score. In the test cohort, the trained model produced an area under the curve of 0.80 (0.78-0.82). This performance was similar across subgroups of age and gender.

CONCLUSION

Aggregating brain-related medication adverse effects facilitates identification of individuals at high risk of subsequent delirium diagnosis.

Abnormal Sleep, Circadian Rhythm Disruption, and Delirium in the ICU: Are They Related?

Delirium is a syndrome characterized by acute brain failure resulting in neurocognitive disturbances affecting attention, awareness, and cognition. It is highly prevalent among critically ill patients and is associated with increased morbidity and mortality. A core domain of delirium is represented by behavioral disturbances in sleep-wake cycle probably related to circadian rhythm disruption. The relationship between sleep, circadian rhythm and intensive care unit (ICU)-acquired delirium is complex and likely bidirectional. In this review, we explore the proposed pathophysiological mechanisms of sleep disruption and circadian dysrhythmia as possible contributing factors in transitioning to delirium in the ICU and highlight some of the most relevant caveats for understanding the relationship between these complex phenomena. Specifically, we will (1) review the physiological consequences of poor sleep quality and efficiency; (2) explore how the neural substrate underlying the circadian clock functions may be disrupted in delirium; (3) discuss the role of sedative drugs as contributors to delirium and chrono-disruption; and, (4) describe the association between abnormal sleep-pathological wakefulness, circadian dysrhythmia, delirium and critical illness. Opportunities to improve sleep and readjust circadian rhythmicity to realign the circadian clock may exist as therapeutic targets in both the prevention and treatment of delirium in the ICU. Further research is required to better define these conditions and understand the underlying physiologic relationship to develop effective prevention and therapeutic strategies.

Delirium screening tools: A protocol for a systematic review and meta-analysis

BACKGROUND

Delirium is a frequent form of acute brain dysfunction in mechanically ventilated patients. Screening tools have been developed to identify delirium, but it is unclear which tool is the most accurate. Therefore, we provide a protocol of systematic evaluation to assess the accuracy of delirium screening tools in mechanically ventilated patients.

METHODS

PubMed, PsycINFO, EMBASE, and the Cochrane Library will be searched. Studies involving mechanically ventilated patients which compared diagnostic tools with the Diagnostic and Statistical Manual of Mental Disorders criteria as a reference standard will be included. We will use MetaDiSC and STATA 15.1 to analyze carefully when a network meta-analysis is allowed.

RESULTS

This study will provide a high-quality synthesis to assess the accuracy of different screening methods in mechanically ventilated patients.

CONCLUSION

The conclusion of our systematic review will provide evidence to judge which screening method is the best for mechanically ventilated patients.

Rates of delirium associated with calcium channel blockers compared to diuretics, renin-angiotensin system agents and beta-blockers: An electronic health records network study

BACKGROUND

Antihypertensive drugs, especially calcium channel blockers, have been associated with differential rates of a number of neuropsychiatric outcomes. Delirium is commonly attributed to medication, including antihypertensive drugs, but delirium incidence has not been compared directly between antihypertensive drug classes.

METHODS

Using a federated electronic health records network of 25.5 million people aged 50 years or older, we measured rates of delirium over a two-year period in patients prescribed calcium channel blockers compared to the other main antihypertensive drug classes. Extensive propensity score matching was used to create cohorts matched for a range of demographic factors and delirium risk factors. Negative control outcomes were also measured.

RESULTS

Cohort sizes ranged from 54,000-577,000. Delirium was more common with calcium channel blockers than with renin-angiotensin system agents (~40% higher) but less common than with beta-blockers (~20% lower). These differences remained when patients with a range of other delirium risk factors were excluded, and they were not paralleled by the negative control outcomes. Comparisons between calcium channel blockers and diuretics produced inconclusive results.

CONCLUSIONS

Calcium channel blockers are associated with higher rates of delirium than renin-angiotensin system agents, but lower rates compared to beta-blockers. The findings add to the list of factors which may be considered when choosing antihypertensive drug class.