Impact of delirium on short-term mortality in elderly inpatients: a prospective cohort study

Comprehensive geriatric assessment for predicting postoperative delirium in oral and maxillofacial surgery: a prospective cohort study

Identifying high-risk patients for developing postoperative delirium (POD) is essential for optimizing the medical field's human and financial resources through specialty-relevant geriatric assessments that can aid in establishing prehabilitation strategies. This study aims to identify geriatric screening tools to predict preoperative delirium and explore the high-risk elderly patients undergoing oral maxillofacial surgery. A comprehensive geriatric assessment encompassing 23 instruments was used to evaluate inpatients undergoing surgery under general anaesthesia, preoperatively and postoperatively. Selective intraoperative and postoperative variables were also assessed for their relation to POD occurrence. This prospective study included 90 patients (mean age 79.0 years) from August 2022 to August 2023. The POD rate in this cohort was (8.9% n = 8). The Clock-Drawing Test (CDT) was significantly associated with POD occurrence (p = 0.005). Significant associations were found between POD occurrence and operation type (p = 0.018), duration (p = 0.026), length of stay ( p = 0.002), and postoperative hemoglobin levels (p = 0.027). This study highlights the importance of comprehensive geriatric assessments in predicting POD in elderly patients. Future research should build on these findings to enhance preoperative care strategies and improve outcomes.Trial registration: German Register of Clinical Studies, DRKSID DRKS00028614.

Incidence and Risk Factors of Developing Post-operative Delirium Among Elderly Patients in a Tertiary Care Hospital: A Retrospective Chart Review

Introduction Delirium is an acute and fluctuating decline in attention and cognition caused by reversible neural disruption. Post-operative delirium (POD) may happen 10 minutes after anesthesia administration up to discharge. POD has been associated with increased days of mechanical ventilation, increased patients' functional decline, prolonged intensive care unit (ICU) stay, and prolonged hospital length of stay, which can lead to nosocomial complications, further investigations, and increased treatment costs. In this study, we aim to determine the prevalence of POD and identify demographic or surgical variables associated with POD. Materials and methods This retrospective cross-sectional study was conducted at the National Guard Health Affairs Hospital (NGHA), a teaching tertiary care center in Riyadh, Kingdom of Saudi Arabia. The study included all patients older than 65 who developed POD from January 2017 to January 2023 and a control group of the same time window. The data were analyzed using custom Python code. Results The study included 108 patients, 72 of whom were male patients. General anesthesia was most used compared to other anesthesia techniques (79.630%). Patients with hypertension (HTN) and diabetes mellitus (DM) each account for 75 cases. Elective surgeries account for 86.111% of cases. Our analysis showed a significant association between POD and advanced age, male gender, DM, HTN, congestive heart failure (CHF), and chronic kidney disease (CKD).  Conclusion With our study, we hope to aid the process of better understanding POD to help healthcare providers identify high-risk patients, implement preventative measures, and enhance patient safety and satisfaction.

Delirium Knowledge, Risk Factors, and Attitude Among the General Public in Saudi Arabia: A Cross-Sectional Study

Introduction Delirium is a common and serious neuropsychiatric disorder, of acute onset, present at any age, but more common in older adults, and very common in clinical practice. It combines mental and behavioral symptoms with a fluctuating course, with worsening of the condition in the afternoon and at night, with important repercussions on increased mortality, greater risk of cognitive impairment, and hospitalization costs. Delirium's impact extends to patients, families, and healthcare systems, emphasizing the need for public awareness and education in Saudi Arabia. Methodology It is a cross-sectional conducted in Saudi Arabia that aims to assess knowledge, risk factors, and attitudes regarding delirium among all Saudi and non-Saudi residents aged 18 and older. A 36 self-administered questionnaire, standardized Nordic, was used. Data were cleaned in Microsft Excel (Microsoft Corporation, USA) and analyzed using IBM SPSS Statistics (IBM Corp., Armonk, NY). This study was conducted in Saudi Arabia from May 2023 till March 2024. Results Our study involved 1,470 participants from Saudi Arabia, primarily females (79.1%), Saudi nationals (89.9%), and unmarried individuals (65.4%). Most participants were aged 18-24 (59.5%) and held bachelor's degrees (57.3%). Commonly recognized delirium risk factors included increasing age (63.3%), dementia (58.2%), and longer ICU stays (48.7%). The participants showed moderate knowledge of delirium symptoms and consequences. Attitudes varied, with many agreeing that delirium requires intervention (30.7%) but fewer considering it preventable (17.1%). Sociodemographic factors, including gender and age, significantly influenced knowledge and attitudes, while education levels did not. Conclusion Our study found that gender and age influenced knowledge and attitudes, highlighting the importance of targeted education. Future research should further investigate the effectiveness of such interventions in enhancing knowledge and awareness and promoting preventive actions.

Point prevalence and clinical profile of patients with delirium admitted in internal medicine department at tertiary care centre in eastern Nepal: a descriptive cross-sectional study

Introduction

Delirium, marked by acute disturbances in consciousness and cognition, remains underdiagnosed despite its significant impact on morbidity and mortality. This study investigates the point prevalence and clinical profile of delirium in patients at an eastern Nepal tertiary care centre.

Methods

A 1-month descriptive cross-sectional study involved 152 Internal Medicine Department patients at BPKIHS, Dharan. Data, collected through face-to-face interviews and the Confusion Assessment Method (CAM), analyzed demographic details, clinical history, and laboratory findings. Ethical clearance and informed consent were obtained.

Results

Among 152 participants, 13.2% exhibited delirium, with notable risk factors identified. Elderly patients (≥65 years) and those with nasogastric tubes faced higher risks. Significant associations were found with cardiovascular diseases (P=0.002), central nervous system diseases (P=0.015), and alcoholism (P=0.003). Laboratory findings revealed correlations with elevated creatinine, hyperuremia, and abnormal aspartate aminotransferase levels. The study emphasizes key contributors to delirium, providing valuable insights for clinicians in identifying, preventing, and managing delirium in a hospital setting.

Conclusions

This study provides critical insights into delirium prevalence and profiles in Eastern Nepal. Identified risk factors underscore the importance of routine screenings and targeted interventions for at-risk populations. Study limitations, including sample size and single-centre focus, call for further research to validate findings and enhance our understanding of delirium's management across diverse healthcare settings. Overall, the study informs clinical practices and prompts broader exploration of delirium in healthcare contexts.

[Number of teeth as indicator for individual risk for delirium]

BACKGROUND

Recent research claims some interdependence between oral health and dementia; however, no empirical data could be found regarding the role of oral hygiene in delirium. This study investigated potential risk indicators related to oral hygiene in relation to development of delirium in the care of older patients.

METHODS

A dental examination was performed in 120 patients in the context of a case-control study. The ratio of diseased patients with risk factors to diseased patients without risk factors describes the correlation between risk factors and the risk of disease. A binary logistic regression was performed to determine the correlation of the number of teeth to delirium.

RESULTS

Every lost tooth enhances the delirium risk by 4.6%. Edentulous patients had a 2.66-fold higher risk to suffer from delirium. Caries experience and periodontitis has no significant impact on delirium prevalence.

DISCUSSION

Both edentulousness and the number of lost teeth could be considered as risk indicators for delirium. Periodontitis or caries experience did not have a direct significant impact. The present study examined the merits of edentulousness and tooth loss as a screening parameter.

A Lethal Combination of Delirium and Overcrowding in the Emergency Department

Delirium is a common public health concern that significantly impacts older patients admitted to the Emergency Department (ED). This condition is linked to adverse outcomes such as reduced long-term functionality, higher mortality rates, extended hospital stays, and increased medical costs. The identification of risk factors is crucial for the early recognition and management of delirium in ED patients. Aging, cognitive decline, polypharmacy, and sensory impairment are some of the most common general risk factors described in the literature. Although validated delirium assessment tools already exist, they are not practical for the fast-paced ED environment because of their extended evaluation period or specialized training request. Moreover, clear guidance is needed to select the most suitable tool for detecting delirium, balancing between the accuracy and the swiftness required in an overcrowded, high-stress, and understaffed healthcare setting. This narrative review aims to analyze the updated literature on delirium risk factors in older ED patients and focuses on the methods for better screening, managing, and treating this condition in the ED.

Current Trends for Delirium Screening within the Emergency Department

Delirium is an acute neurological disorder that involves attention and cognition. It is associated with a high risk of morbidity and mortality among older people (>65 years old). In the context of the Emergency Department (ED), it is frequently experienced by patients but often not recognized. Literature studies have identified some screening instruments for an initial evaluation of delirium. Most of these tools have not been validated yet in the context of emergencies, but, in other settings, they were very useful for assessing and maximizing the recognition of this condition among older patients. We conducted a review of the literature, including randomized control trials, clinical and observational studies, and research studies published in recent years, confirming that most of the screening tools for delirium used in the intensive care unit (ICU) or the geriatric department have not been tested in the ED, and the ideal timing and form of the delirium assessment process for older adults have not been defined yet. The aim of our review is to summarize the updated evidence about the screening tools for delirium in the context of the ED, due to the fact that overcrowding of the ED and the stressful condition of emergency situations (that contribute to the onset of delirium) could expose older patients to a high risk of complications and mortality if delirium is not promptly recognized. In conclusion, we support the evidence that delirium is a current and real condition that emergency physicians have to face daily, and we are aware that more research is needed to explore this field in order to improve the overall outcomes of older patients admitted to the ED.

Delirium occurrence in older Irish adults admitted to an acute medical hospital: a prospective cohort study

OBJECTIVES

Delirium, which is associated with adverse health outcomes, is poorly detected in hospital settings. This study aimed to determine delirium occurrence among older medical inpatients and to capture associated risk factors.

METHODS

This prospective cohort study was performed at an Irish University Hospital. Medical inpatients 70 years and over were included. Baseline assessments within 72 hours of admission included delirium status and severity as determined by the Revised Delirium Rating Scale (DRS-R-98), cognition, physical illness severity and physical functioning. Pre-existing cognitive impairment was determined with Short Informant Questionnaire on Cognitive Decline (IQCODE). Serial assessment of delirium status, cognition and the physical illness severity were undertaken every 3 (±1) days during participants' hospital admission.

RESULTS

Of 198 study participants, 92 (46.5%) were women and mean age was 80.6 years (s.d. 6.81; range 70-97). Using DRS-R-98, 17.7% (n = 35) had delirium on admission and 11.6% (n = 23) had new-onset delirium during admission. In regression analysis, older age, impaired cognition and lower functional ability at admission were associated with a significant likelihood of delirium.

CONCLUSIONS

In this study, almost one-third of older medical inpatients in an acute hospital had delirium during admission. Findings that increasing age, impaired cognition and lower functional ability at admission were associated with increased delirium risk suggest target groups for enhanced delirium detection and prevention strategies. This may improve clinical outcomes.

Dexmedetomidine versus haloperidol for sedation of non-intubated patients with hyperactive delirium during the night in a high dependency unit: study protocol for an open-label, parallel-group, randomized controlled trial (DEX-HD trial)

BACKGROUND

Delirium is common in critically ill patients. Haloperidol has long been used for the treatment of delirium. Dexmedetomidine has recently been used to treat delirium among intubated critically ill patients. However, the efficacy of dexmedetomidine for delirium in non-intubated critically ill patients remains unknown. We hypothesize that dexmedetomidine is superior to haloperidol for sedation of patients with hyperactive delirium, and would reduce the prevalence of delirium among non-intubated patients after administration. We will conduct a randomized controlled trial to compare dexmedetomidine and haloperidol for the treatment of nocturnal hyperactive delirium in non-intubated patients in high dependency units (HDUs).

METHODS

This is an open-label, parallel-group, randomized controlled trial to compare the efficacy and safety of dexmedetomidine and haloperidol for nocturnal hyperactive delirium in non-intubated patients at two HDUs of a tertiary hospital. We will recruit consecutive non-intubated patients who are admitted to the HDU from the emergency room, and allocate them in a 1:1 ratio to the dexmedetomidine or haloperidol group in advance. The allocated investigational drug will be administered only when participants develop hyperactive delirium (Richmond Agitation-Sedation Scale [RASS] score ≥1 and a positive score on the Confusion Assessment Method for the ICU between 19:00 and 6:00 the next day) during the night at an HDU. Dexmedetomidine is administered continuously, while haloperidol is administered intermittently. The primary outcome is the proportion of participants who achieve the targeted sedation level (RASS score of between -3 and 0) 2h after the administration of the investigational drug. Secondary outcomes include the sedation level and prevalence of delirium on the day following the administration of the investigational drugs, and safety. We plan to enroll 100 participants who develop nocturnal hyperactive delirium and receive one of the two investigational drugs.

DISCUSSION

This is the first randomized controlled trial to compare the efficacy and safety of dexmedetomidine and haloperidol for sedation of non-intubated critically ill patients with hyperactive delirium in HDUs. The results of this study may confirm whether dexmedetomidine could be another option to sedate patients with hyperactive delirium.

TRIAL REGISTRATION

Japan Registry of Clinical Trials, jRCT1051220015, registered on 21 April 2022.

Developing and validating a machine learning ensemble model to predict postoperative delirium in a cohort of high-risk surgical patients: A secondary cohort analysis

BACKGROUND

Postoperative delirium (POD) has a negative impact on prognosis, length of stay and the burden of care. Although its prediction and identification may improve postoperative care, this need is largely unmet in the Brazilian public health system.

OBJECTIVE

To develop and validate a machine-learning prediction model and estimate the incidence of delirium. We hypothesised that an ensemble machine-learning prediction model that incorporates predisposing and precipitating features could accurately predict POD.

DESIGN

A secondary analysis nested in a cohort of high-risk surgical patients.

SETTING

An 800-bed, quaternary university-affiliated teaching hospital in Southern Brazil. We included patients operated on from September 2015 to February 2020.

PATIENTS

We recruited 1453 inpatients with an all-cause postoperative 30-day mortality risk greater than 5% assessed preoperatively by the ExCare Model.

MAIN OUTCOME MEASURE

The incidence of POD classified by the Confusion Assessment Method, up to 7 days postoperatively. Predictive model performance with different feature scenarios were compared with the area under the receiver operating characteristic curve.

RESULTS

The cumulative incidence of delirium was 117, giving an absolute risk of 8.05/100 patients. We developed multiple machine-learning nested cross-validated ensemble models. We selected features through partial dependence plot analysis and theoretical framework. We treated the class imbalance with undersampling. Different feature scenarios included: 52 preoperative, 60 postoperative and only three features (age, preoperative length of stay and the number of postoperative complications). The mean areas (95% confidence interval) under the curve ranged from 0.61 (0.59 to 0.63) to 0.74 (0.73 to 0.75).

CONCLUSION

A predictive model composed of three indicative readily available features performed better than those with numerous perioperative features, pointing to its feasibility as a prognostic tool for POD. Further research is required to test the generalisability of this model.

TRIAL REGISTRATION

Institutional Review Board Registration number 04448018.8.0000.5327 (Brazilian CEP/CONEP System, available in https://plataformabrasil.saude.gov.br/ ).

A Cross-Sectional, Retrospective, and Comparative Study between Delirium and Non-Delirium Psychiatric Disorders in a Psychogeriatric Inpatient Population Referred to Consultation-Liaison Psychiatry Unit

Background and objectives: Delirium is the most prevalent psychiatric disorder in inpatient older people. Its presence is associated with higher rates of institutionalization, functional disability and mortality. This study aims to evaluate delirium in a hospitalized psychogeriatric population, focusing on which factors predict the appearance of delirium, the impact it generates and the diagnostic concordance between non-psychiatric physicians and psychiatrists. Material and methods: This is an observational, cross-sectional, retrospective, and comparative study. We obtained data from a sample of 1017 patients (≥65 years) admitted to general hospital and referred from different services to the consultation-liaison psychiatry (CLP) unit. Logistic regression was performed using delirium as the dependent variable. To estimate the concordance of the diagnoses, the Kappa coefficient was used. To assess the impact of delirium, an ordinal regression, Wilcoxon median test and Fisher’s test were performed. Results: Delirium is associated with a higher number of visits, OR 3.04 (95% CI 2.38–3.88), longer length of stay and mortality, OR 2.07 (95% CI, 1.05 to 4.10). The model to predict delirium shows that being >75 years old has an OR of 2.1 (95% CI, 1.59–2.79), physical disability has an OR of 1.66 (95% CI, 1.25–2.20), history of delirium has an OR of 10.56 (95% CI, 5.26–21.18) and no use of benzodiazepines has an OR of 4.24 (95% CI, 2.92–6.14). The concordance between the referring physician’s psychiatric diagnosis and the psychiatrist CLP unit showed a kappa of 0.30. When analysing depression and delirium, the concordance showed Kappa = 0.46. Conclusions: Delirium is a highly prevalent psychiatric disorder, but it is still underdiagnosed, with low diagnostic concordance between non-psychiatric doctors and psychiatrists from CLP units. There are multiple risk factors associated with the appearance of delirium, which must be managed to reduce its appearance.

Magnitude and associated factors of delirium among patients attending emergency department at Jimma medical center, Jimma, southwest Ethiopia, 2022

BACKGROUND

Delirium is a severe neuropsychiatric condition that occurs frequently in all medical settings. It has been associated to serious consequences like higher mortality, institutionalization, and longer hospital stays. Delirium is missed in emergency rooms in 57% to 83% of patients, despite its frequent incidence and detrimental repercussions.

OBJECTIVES

The purpose of this study was to determine the prevalence and contributing causes of delirium in patients who visited the emergency room at Jimma Medical Center in Jimma, southwest Ethiopia, in 2022.

METHODS

From August 1 through September 30, 2022, a cross-sectional study was undertaken at a hospital. The study enrolled 422 participants, who were chosen through a systematic random sampling. The Richmond Agitation Sedation Scale (RASS) was used to evaluate different subtypes of delirium and level of arousal. The Confusion Assessment Method (CAM) was used to determine the presence or absence of delirium. Epi Data V3.1 was used to enter the data, and Version 20 of the Statistical Package for Social Scientists was used to export it (SPSS V20). Bivariate and multivariable logistic regressions were performed to identify the related factors. Variables with a p-value of less than 0.05 were considered to be significant.

RESULT

26.6% of participants (n = 107) were found to have delirium. Alcohol use (AOR = 3.6, 95% CI (2.5-8.1), visual impairment (AOR = 2.34, 95% CI (1.89-3.68), frequent admission (AOR = 3.47, 95% CI (1.24-7.34), bladder catheterization (AOR = 1.4, 95% CI (1.21-2.89), and benzodiazepine exposure (AOR = 1.5, 95% CI (1.01-2.3) had a significant association with delirium.

CONCLUSION

According to this study, delirium was very common among patients in the emergency room. Benzodiazepine exposure, numerous admissions, visual impairment, current alcohol consumption, bladder catheterization, and frequent admissions all significantly increased the risk of delirium. To address identifiable causes and enhance patients' health outcomes, early recognition is crucial.

New onset delirium prediction using machine learning and long short-term memory (LSTM) in electronic health record

OBJECTIVE

To develop and test an accurate deep learning model for predicting new onset delirium in hospitalized adult patients.

METHODS

Using electronic health record (EHR) data extracted from a large academic medical center, we developed a model combining long short-term memory (LSTM) and machine learning to predict new onset delirium and compared its performance with machine-learning-only models (logistic regression, random forest, support vector machine, neural network, and LightGBM). The labels of models were confusion assessment method (CAM) assessments. We evaluated models on a hold-out dataset. We calculated Shapley additive explanations (SHAP) measures to gauge the feature impact on the model.

RESULTS

A total of 331 489 CAM assessments with 896 features from 34 035 patients were included. The LightGBM model achieved the best performance (AUC 0.927 [0.924, 0.929] and F1 0.626 [0.618, 0.634]) among the machine learning models. When combined with the LSTM model, the final model's performance improved significantly (P = .001) with AUC 0.952 [0.950, 0.955] and F1 0.759 [0.755, 0.765]. The precision value of the combined model improved from 0.497 to 0.751 with a fixed recall of 0.8. Using the mean absolute SHAP values, we identified the top 20 features, including age, heart rate, Richmond Agitation-Sedation Scale score, Morse fall risk score, pulse, respiratory rate, and level of care.

CONCLUSION

Leveraging LSTM to capture temporal trends and combining it with the LightGBM model can significantly improve the prediction of new onset delirium, providing an algorithmic basis for the subsequent development of clinical decision support tools for proactive delirium interventions.

The predictors of postoperative delirium at surgical units in Sudan: A multicenter, cross-sectional, prospective study

Background

Knowledge of potential and amenable risk factors involved in the development of postoperative delirium (POD) is imperative for successful prevention and subsequent management.

Objective

The current study objective was to delineate the risk factors associated with the occurrence of POD among patients undergoing surgical procedures.

Methods

This multi-center (6 hospitals), cross-sectional prospective hospital-based study recruited 415 subjects aged ≥50 years who were scheduled to undergo different types of surgery. Delirium Observational Screening Scale used for the diagnosis of POD. Short Nutritional Assessment Questionnaire used for assessing the nutritional and the hydration status of patients. Pre and postoperative risk factors analyzed by univariate (chi square) and then multivariate analyses and the incidence rate of POD, was reported.

Results

The main outcome measure was the development of POD. Out of the 385, only 43 subjects (11.2%) developed POD. High American Society of Anesthesiologists score (OR: 10.76, 95% CI: 1.379-83.99, P =0.023), duration of surgery (OR: 5.426, 95% CI: [2.249-13.092]; P =0.0001), were the strongest independent risk factors for the development of POD. Katz Index of Independence in Activities of Daily Living score (OR: 3.227, 95% CI: [1.177-8.844], P =0.023), and age ≥ 70 years (OR: 1.174, 95% CI: [1.015-1.359]; P =0.027) were additional strongest independent risk factors for the development of POD.

Conclusion

Based on analysis or study, we found High American Society of Anesthesiologist sore, Katz-ADL, duration of surgery, and advanced age were predictors of POD. Our findings suggest preventive measures initiated in subjects identified at risk of developing POD. These results support the healthcare providers in the early prevention, diagnosis, and timely management of POD.

The Preventive Effect of Transcutaneous Electrical Acupoint Stimulation on Postoperative Delirium in Elderly Patients with Time Factors: A Randomized Trial

Objectives: There is currently no exact and effective treatment for postoperative delirium (POD). The purpose of this study was to observe the effect of transcutaneous electrical acupoint stimulation (TEAS) before surgery and during surgery in elderly patients with POD. Materials and Methods: A total of 90 patients were randomly divided into three groups: a preoperative TEAS group (group E1), an intraoperative TEAS group (group E2), and a control group (group C). In group E1, TEAS was applied at the Shenting, Baihui, bilateral Neiguan, and Hegu points for 30 min 1 day before surgery and before the induction of anesthesia. In group E2, TEAS was applied during surgery. In group C, electrodes were applied to the points just cited, but no electric stimulation was administered. The incidence of delirium was assessed within 5 days after surgery, and the plasma concentration of propofol at bispectral index (BIS) = 50 was recorded. Blood samples were collected to measure neuron-specific enolation (NSE), tumor necrosis factor-α (TNF-α), and interleukin (IL)-1β 1 day before surgery and 1 and 5 days after surgery. Results: The incidence of delirium in group E1 was decreased in comparison with group C and group E1 (both p < 0.05). The propofol plasma concentration at BIS = 50 in group E1 was also decreased in comparison with group C and group E2 (both p < 0.05). Compared with group C, the concentrations of NSE, TNF-α, and IL-1β in plasma were decreased in group E1 and group E2 1 and 5 days after surgery (both p < 0.05), and the concentrations of NSE and IL-1β in plasma in group E1 were decreased 1 and 5 days after surgery in comparison with group E2. Conclusion: The TEAS can reduce the dosage of propofol required during surgery and the occurrence of delirium after surgery. Its mechanism may be related to inhibiting inflammation response and alleviating brain injury. Compared with intraoperative application, the effect of preconditioning with TEAS before surgery is better. Trial Registration: ChiCTR-INR-17012501. Date of registration: August 29, 2017.

Prevalence, Risk Factors, and Impact of Delirium on Hospitalized Older Adults With Dementia: A Systematic Review and Meta-Analysis

OBJECTIVES

High prevalence of delirium superimposed on dementia (DSD) was previously reported, with associated negative impact on hospitalized older adults. However, data were conflicting, and no meta-analysis has been conducted. Although dementia is the leading risk factor for delirium, risk factors for DSD have not been adequately studied. This systematic review and meta-analysis aims to elucidate the prevalence, risk factors, and impact of DSD in hospitalized older adults. Comparisons were made between older adults with DSD and persons with dementia alone (PWDs).

DESIGN

Systematic review and meta-analysis.

SETTING AND PARTICIPANTS

Observational studies reporting prevalence, risk factors, or impact of DSD in hospitalized older adults.

METHODS

Database search was conducted till December 2020 in PubMed, Embase, CENTRAL, PsycINFO, CINAHL, Scopus, Web of Science, ProQuest, and OpenGrey for relevant primary and secondary studies. A piloted data collection form was used for data extraction, and methodological quality was assessed using Joanna Briggs Institute critical appraisal checklists. Meta-analyses, with risk ratio and mean differences as effect measures, were performed using random effects model with Review Manager software. Cochran's Q and I² statistics were used to assess heterogeneity, which was investigated using subgroup analyses.

RESULTS

A total of 81 studies were eligible. The pooled prevalence of DSD was 48.9%, with the highest prevalence found in the Americas and orthopedic wards. Risk factors, including nonmodifiable hospital-, illness-, and medication-related factors, were found to precipitate DSD. Patients with DSD had longer length of hospitalization, disclosed worse cognitive and functional outcomes, and a higher risk of institutionalization and mortality than patients with dementia.

CONCLUSIONS AND IMPLICATIONS

These findings suggested high prevalence and detrimental impact of DSD in hospitalized older adults, highlighting a need for early identification, prevention, and treatments. Further research on risk factors of DSD should be conducted as data were sparse and conflicting. Future high-quality studies regarding DSD are warranted to improve knowledge of this common but under-recognized phenomenon.

Postoperative Delirium in Patients After Brain Tumor Surgery

BACKGROUND

Postoperative delirium is a common surgical complication that can be associated with poorer outcome. Many patients with brain tumors experience delirium after surgery. We hypothesize that patients who experience delirium after resection of a brain tumor will have worse outcomes post surgery in terms of mortality, disposition, and length of stay compared with those without postoperative delirium. We also examine differences between nurse and physician diagnoses of delirium.

METHODS

Data from patients undergoing brain tumor resection at University of Missouri Hospital were retrospectively collected. Delirium was defined using Diagnostic and Statistical Manual-5 criteria. Patients with delirium were compared with patients without delirium using chi-squared test, Cohen Kappa value, and binomial proportion analysis at 95% confidence intervals or P < 0.05.

RESULTS

Of 500 patients having brain tumor resections, 93 (18.6%) were diagnosed with postoperative delirium. Patients with delirium had higher 30-day mortality (9.78% vs. 1.48%; P < 0.0001), required restraints more often (42.39% vs. 5.91%, P < 0.0001), had longer hospital length of stay (14.3 vs. 6.3 days; P < 0.0001), and increased skilled nursing facility disposition (57.3% vs. 26.11%; P < 0.0001) than patients without delirium. Diagnosis of delirium between nursing staff and clinicians moderately correlated (Kappa 0.5677 ± 0.0536).

CONCLUSIONS

Delirium, a common postoperative complication after brain tumor surgery, is associated with longer length of stay, increased disposition to skilled nursing facility, and increased 30-day mortality. These findings reinforce the importance of early recognition, diagnosis, and treatment of postoperative delirium in brain tumor resection patients.

Delirium symptoms duration and mortality in SARS-COV2 elderly: results of a multicenter retrospective cohort study

Background

Since the occurrence of the SARS-COV2 pandemic, there has been an increasing interest in investigating the epidemiology of delirium. Delirium is frequent in SARS-COV2 patients and it is associated with increased mortality; however, no information is available on the association between delirium duration in SARS-COV2 patients and related outcomes.

Aims

The aim of this study is to investigate the association between the duration of delirium symptoms and in-hospital mortality in older patients with SARS-COV2 infection.

Methods

Retrospective cohort study of patients 65 years of age and older with SARS-CoV 2 infection admitted to two acute geriatric wards and one rehabilitation ward. Delirium symptoms duration was assessed retrospectively with a chart-based validated method. In-hospital mortality was ascertained via medical records.

Results

A total of 241 patients were included. The prevalence of delirium on admission was 16%. The median number of days with delirium symptoms was 4 (IQR 2–6.5) vs. 0 (IQR 0–2) in patients with and without delirium on admission. In the multivariable Cox regression model, each day with a delirium symptom in a patient with the same length of stay was associated with a 10% increase in in-hospital mortality (Hazard ratio 1.1, 95% Confidence interval 1.01–1.2; p = 0.03). Other variables associated with increased risk of in-hospital death were age, comorbidity, CPAP, CRP levels and total number of drugs on admission.

Conclusions

The study supports the necessity to establish protocols for the monitoring and management of delirium during emergency conditions to allow an appropriate care for older patients.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40520-021-01899-8.

What prompts patients to present with delirium?

PURPOSE

To explore the recognition, response and understanding of delirium in families and carers of hospitalised patients.

METHODS

All adults with delirium admitted to an acute medical unit were included. Delirium was diagnosed by a specialist geriatrician. The responder who sought medical advice for each patient was interviewed using a delirium recognition questionnaire. Vital status was ascertained at four months.

RESULTS

Sixty patients were included (mean age 85, SD 6.8 years). Reported symptoms included drowsiness and lack of responsiveness, though these were less commonly recognised as being due to delirium. 76% received medical advice within 24 h, although two responders took > 1 week. One-third of responders had never heard of delirium. Delirium knowledge among responders was variable.

CONCLUSION

Overall awareness and knowledge of delirium was poor. Community delirium education and public health initiatives may improve rapidity of recognition, delirium assessment, and potentially health outcomes.

Understanding health-care outcomes of older people with cognitive impairment and/or dementia admitted to hospital: a mixed-methods study

Background

Cognitive impairment is common in older people admitted to hospital, but previous research has focused on single conditions.

Objective

This project sits in phase 0/1 of the Medical Research Council Framework for the Development and Evaluation of Complex Interventions. It aims to develop an understanding of current health-care outcomes. This will be used in the future development of a multidomain intervention for people with confusion (dementia and cognitive impairment) in general hospitals. The research was conducted from January 2015 to June 2018 and used data from people admitted between 2012 and 2013.

Design

For the review of outcomes, the systematic review identified peer-reviewed quantitative epidemiology measuring prevalence and associations with outcomes. Screening for duplication and relevance was followed by full-text review, quality assessment and a narrative review (141 papers). A survey sought opinion on the key outcomes for people with dementia and/or confusion and their carers in the acute hospital (n = 78). For the analysis of outcomes including cost, the prospective cohort study was in a medical admissions unit in an acute hospital in one Scottish health board covering 10% of the Scottish population. The participants (n = 6724) were older people (aged ≥ 65 years) with or without a cognitive spectrum disorder who were admitted as medical emergencies between January 2012 and December 2013 and who underwent a structured nurse assessment. ‘Cognitive spectrum disorder’ was defined as any combination of delirium, known dementia or an Abbreviated Mental Test score of < 8 out of 10 points. The main outcome measures were living at home 30 days after discharge, mortality within 2 years of admission, length of stay, re-admission within 2 years of admission and cost.

Data sources

Scottish Morbidity Records 01 was linked to the Older Persons Routine Acute Assessment data set.

Results

In the systematic review, methodological heterogeneity, especially concerning diagnostic criteria, means that there is significant overlap in conditions of patients presenting to general hospitals with confusion. Patients and their families expect that patients are discharged in the same or a better condition than they were in on admission or, failing that, that they have a satisfactory experience of their admission. Cognitive spectrum disorders were present in more than one-third of patients aged ≥ 65 years, and in over half of those aged ≥ 85 years. Outcomes were worse in those patients with cognitive spectrum disorders than in those without: length of stay 25.0 vs. 11.8 days, 30-day mortality 13.6% vs. 9.0%, 1-year mortality 40.0% vs. 26.0%, 1-year mortality or re-admission 62.4% vs. 51.5%, respectively (all p < 0.01). There was relatively little difference by cognitive spectrum disorder type; for example, the presence of any cognitive spectrum disorder was associated with an increased mortality over the entire period of follow-up, but with different temporal patterns depending on the type of cognitive spectrum disorder. The cost of admission was higher for those with cognitive spectrum disorders, but the average daily cost was lower.

Limitations

A lack of diagnosis and/or standardisation of diagnosis for dementia and/or delirium was a limitation for the systematic review, the quantitative study and the economic study. The economic study was limited to in-hospital costs as data for social or informal care costs were unavailable. The survey was conducted online, limiting its reach to older carers and those people with cognitive spectrum disorders.

Conclusions

Cognitive spectrum disorders are common in older inpatients and are associated with considerably worse health-care outcomes, with significant overlap between individual cognitive spectrum disorders. This suggests the need for health-care systems to systematically identify and develop care pathways for older people with cognitive spectrum disorders, and avoid focusing on only condition-specific pathways.

Future work

Development and evaluation of a multidomain intervention for the management of patients with cognitive spectrum disorders in hospital.

Study registration

This study is registered as PROSPERO CRD42015024492.

Funding

This project was funded by the National Institute for Health Research (NIHR) Health Services and Delivery Research programme and will be published in full in Health Services and Delivery Research; Vol. 9, No. 8. See the NIHR Journals Library website for further project information.

Mortality prediction by bispectral electroencephalography among 502 patients: its role in dementia

Complications of delirium and dementia increase mortality; however, it is difficult to diagnose delirium accurately, especially among dementia patients. The bispectral electroencephalography score can detect delirium and predict mortality in elderly patients. We aimed to develop an efficient and reliable bispectral electroencephalography device for high-throughput screening. We also hypothesized that bispectral electroencephalography score can predict mortality among dementia patients. A prospective cohort study was conducted between January 2016 and December 2018 to measure bispectral electroencephalography from elderly patients and correlate with outcomes. A total of 502 elderly (55 years old or older) patients with and without dementia were enrolled. For a replication of the utility of bispectral electroencephalography, mortalities between bispectral electroencephalography-positive and bispectral electroencephalography-negative group were compared. In addition, patients with and without dementia status were added to examine the utility of bispectral electroencephalography among dementia patients. The mortality within 180 days in the bispectral electroencephalography-positive group was higher than that of the bispectral electroencephalography-negative group in both the replication and the total cohorts. Mortality of those in the bispectral electroencephalography-positive group showed a dose-dependent increase in both cohorts. When the dementia patients showed bispectral electroencephalography positive, their mortality was significantly higher than those with dementia but who were bispectral electroencephalography-negative. Mortality within 30 days in the bispectral electroencephalography-positive group was significantly higher than that of the bispectral electroencephalography-negative group. The utility of the bispectral electroencephalography to predict mortality among large sample of 502 elderly patients was shown. The bispectral electroencephalography score can predict mortality among elderly patients in general, and even among dementia patients, as soon as 30 days.

Clinical Profile and Length of Hospital Stay in a Sample of Psychogeriatric Patients Referred to Consultation Liaison Psychiatric Unit

Background and objectives: There has been a recent increase in older patients admitted to general hospitals. A significant percentage of hospitalized older patients are ≥75 years old, which differ from the patients aged 65 to 74 years old in terms of functional status at patient discharge. This study aims to compare sociodemographic, clinical features, and factors associated with length of hospital stay in youngest-old and oldest-old populations of inpatients referred to the consultation liaison psychiatry unit. Material and methods: This is an observational, cross-sectional, retrospective, and comparative study. We obtained data from a sample of 1017 patients (≥65 years) admitted to a general hospital and referred from different services (medicine, surgery, etc.) to the consultation liaison psychiatry unit. The sample was divided into two groups of patients: youngest-old (65–74 years) and oldest-old (≥75 years). Psychiatric evaluations were performed while the patients were on wards at the hospital. Psychopharmacs were started as needed. A comparative analysis was carried out and predictive factors related to length of hospital stay were calculated. Results: The reference rate to consultation liaison psychiatry unit was 1.45% of the total older patients hospitalized. Our study demonstrates differences between the groups of older people: the oldest-old group were mainly female (p < 0.001), had more previous psychiatric diagnoses (p < 0.001), physical disabilities (p = 0.02), and neurocognitive disorders (p < 0.001), they used more antipsychotics (p < 0.001), and more frequently had a discharge disposition to a nursing home (p = 0.036). The presence of physical disability (beta = 0.07, p < 0.001) and logtime to referral to consultation liaison psychiatry unit (beta = 0.58, p < 0.001) were associated with increased length of hospital stay. Conclusions: Youngest-old and oldest-old people should be considered as two different types of patients when we consider clinical features. The time to referral to consultation liaison psychiatry unit seems to be a relevant factor associated with length of hospital stay.

Neutrophil-Lymphocyte Ratio as a Potential Biomarker for Delirium in the Intensive Care Unit

Background: Recognition and early detection of delirium in the intensive care unit (ICU) is essential to improve ICU outcomes. To date, neutrophil-lymphocyte ratio (NLR), one of inflammatory markers, has been proposed as a potential biomarker for brain disorders related to neuroinflammation. This study aimed to investigate whether NLR could be utilized in early detection of delirium in the ICU. Methods: Of 10,144 patients who admitted to the ICU, 1,112 delirium patients (DE) were included in the current study. To compare among inflammatory markers, NLR, C-reactive protein (CRP), and white blood cell (WBC) counts were obtained: the mean NLR, CRP levels, and WBC counts between the initial day of ICU admission and the day of initial delirium onset within DE were examined. The inflammatory marker of 1,272 non-delirium patients (ND) were also comparatively measured as a supplement. Further comparisons included a subgroup analysis based on delirium subtypes (non-hypoactive vs. hypoactive) or admission types (elective vs. emergent). Results: The NLR and CRP levels in DE increased on the day of delirium onset compared to the initial admission day. ND also showed increased CRP levels on the sixth day (the closest day to average delirium onset day among DE) of ICU admission compared to baseline, while NLR in ND did not show significant difference over time. In further analyses, the CRP level of the non-hypoactive group was more increased than that of the hypoactive group during the delirium onset. NLR, however, was more significantly increased in patients with elective admission than in those with emergent admission. Conclusion: Elevation of NLR was more closely linked to the onset of delirium compared to other inflammatory markers, indicating that NLR may play a role in early detection of delirium.

Delirium in the acute hospital setting: the role of psychiatry

In this overview we discuss the role of psychiatry in managing delirium in acute hospital admissions. We briefly discuss the role psychiatry can offer in four main domains: (a) assessment; (b) management; (c) recovery; and (d) paradigm, education and research. In the assessment section we discuss accurately detecting delirium in the context of comorbid mixed neuropsychiatric syndromes, including depression and dementia, and the clinical importance of delirium subtyping. The management section briefly outlines pharmacological and non-pharmacological approaches to delirium and their evidence-based rationale. The recovery section focuses on the effect delirium can have on cognitive decline, mental health and long-term health, including functional outcome and need for institutional care after hospital discharge. Finally, we outline the role of psychiatry in delirium research and education. We hope that this article will encourage clinicians to reflect on their current practice and consider holistic and evidence-based care for this vulnerable population in the acute hospital setting.

Antipsychotics and Lorazepam During Delirium: Are We Harming Older Patients? A Real-Life Data Study

BACKGROUND

Delirium affects approximately one out of three older hospitalized patients and is associated with poor clinical outcomes. Approaches used to manage delirium consist of non-pharmacological and pharmacological interventions. Antipsychotics and lorazepam are commonly used to treat symptoms of delirium, but conflicting data exist on the effect of these drugs on the outcomes of delirium.

OBJECTIVE

The aim of this study was to investigate whether the use of antipsychotics, with or without lorazepam, increases the risk of prolonged hospital stay, post-discharge institutionalization, and in-hospital mortality in older patients with delirium.

METHODS

In this retrospective chart review study, we included acutely ill patients aged ≥ 65 years who were admitted to a geriatric ward and diagnosed with delirium. Patients were stratified into three groups based on whether or not they received antipsychotics and lorazepam to manage delirium: (0) no antipsychotics; (1) antipsychotics only; and (2) antipsychotics plus lorazepam. Length of hospital stay (LOS) and frequencies of post-discharge institutionalization and in-hospital mortality were compared.

RESULTS

In total, 212 patients with delirium were included (mean age 81.9 ± 5.6 years); 40 did not receive antipsychotics (18.9%), 123 received antipsychotics only (58.0%) and 49 received antipsychotics and lorazepam (23.1%). There was a trend to a longer LOS in patients who received both antipsychotics and lorazepam (median LOS group 0 = 8.0 days, group 1 = 10.0 days, and group 2 = 12.0 days). Furthermore, trends to a higher incidence of post-discharge institutionalization and in-hospital mortality were observed in patients who received both treatments (institutionalization group 0 = 45.0%, group 1 = 59.3%, group 2 = 81.6%; and in-hospital mortality group 0 = 7.5%, group 1 = 10.6%, group 2 = 16.3%).

CONCLUSION

The use of antipsychotics, with or without lorazepam, during delirium is associated with increased risks of poor outcomes. These findings suggest that clinicians should be cautious about routine prescribing of these drugs to older patients with delirium. Further investigation is needed to clarify this association.

The prevalence rates and sequelae of delirium at age older than 90 years

OBJECTIVE

Although age and pre-existent dementia are robust risk factors for developing delirium, evidence for patients older than 90 years is lacking. Therefore, this study assesses the delirium prevalence rates and sequelae in this age group.

METHOD

Based on a Diagnostic and Statistical Manual (DSM)-5, Delirium Observation screening scale (DOS), and Intensive Care Delirium Screening Checklist (ICDSC) construct, in this prospective cohort study, the prevalence rates and sequelae of delirium were determined in 428 patients older than 90 years by simple logistic regressions and corresponding odds ratios (ORs).

RESULTS

The overall prevalence delirium rate was 45.2%, with a wide range depending upon specialty: intermediate and intensive care services (83.1%), plastic surgery and palliative care (75%), neurology (72%), internal medicine (69%) vs. dermatology (26.5%), and angiology (14.5%). Delirium occurred irrespective of age and gender; however, pre-existent dementia was the strongest delirium predictor (OR 36.05). Delirious patients were less commonly admitted from home (OR 0.47) than from assisted living (OR 2.24), indicating functional impairment. These patients were more severely ill, as indicated by emergency (OR 3.25) vs. elective admission (OR 0.3), requirement for intensive care management (OR 2.12) and ventilation (OR 5.56-8.33). At discharge, one-third did not return home (OR 0.22) and almost half were transferred to assisted living (OR 2.63), or deceased (OR 47.76).

SIGNIFICANCE OF RESULTS

At age older than 90 years, the prevalence and sequelae of delirium are substantial. In particular, functional impairment and pre-existent dementia predicted delirium and subsequently, the loss of independence and death were imminent.

A psychoeducational intervention increases use of a delirium protocol by Neurologists and Neurosurgeons in patients with brain disorders

OBJECTIVES

Over 50% of inpatients with neurological disorders may present with a co-morbid psychiatric illness. Delirium has a reported point prevalence of 20% in hospital inpatients and is frequently undetected. We aimed to (1) examine inpatient referrals to a Liaison Neuropsychiatry service and (2) review the diagnosis and management of delirium before and after an educational intervention.

METHODS

An initial 6-month audit of referrals to the inpatient Liaison Neuropsychiatry service was conducted in 2018. We then undertook a psychoeducational intervention to raise awareness of the diagnosis and management of delirium. We conducted a re-audit of referrals to the service in 2019.

RESULTS

On initial audit, of 84 referrals, the most common referral was for mood (38%; n = 32). Just 4% (n = 3) had a specific delirium query. Following assessment by Neuropsychiatry, organic disorders (43%; n = 32), including delirium (33%; n = 25), were the most common diagnoses. On re-audit, of 86 referrals, mood assessment remained the most common reason for referral (38%; n = 33) and 2% (n = 2) were referred for possible delirium. Organic disorders remained the most common diagnoses (53%; n = 45) including delirium (38%; n = 32). We found a significant increase in the use of the delirium protocol from 12% (n = 3) on initial audit to 47% (n = 15); p < 0.01 on re-audit despite no increase in the number of specific delirium queries.

CONCLUSIONS

A psychoeducational intervention improves the management of delirium by Neurologists and Neurosurgeons in patients with brain disorders.

Death in delirious palliative-care patients occurs irrespective of age: A prospective, observational cohort study of 229 delirious palliative-care patients

Objectives

Patients with terminal illness are at high risk of developing delirium, in particular, those with multiple predisposing and precipitating risk factors. Delirium in palliative care is largely under-researched, and few studies have systematically assessed key aspects of delirium in elderly, palliative-care patients.

Methods

In this prospective, observational cohort study at a tertiary care center, 229 delirious palliative-care patients stratified by age: <65 (N = 105) and ≥65 years (N = 124), were analyzed with logistic regression models to identify associations with respect to predisposing and precipitating factors.

Results

In 88% of the patients, the underlying diagnosis was cancer. Mortality rate and median time to death did not differ significantly between the two age groups. No inter-group differences were detected with respect to gender, care requirements, length of hospital stay, or medical costs. In patients ≥65 years, exclusively predisposing factors were relevant for delirium, including hearing impairment [odds ratio (OR) 3.64; confidence interval (CI) 1.90–6.99; P < 0.001], hypertension (OR 3.57; CI 1.84–6.92; P < 0.001), and chronic kidney disease (OR 4.84; CI 1.19–19.72; P = 0.028). In contrast, in patients <65 years, only precipitating factors were relevant for delirium, including cerebral edema (OR 0.02; CI 0.01–0.43; P = 0.012).

Significance of results

The results of this study demonstrate that death in delirious palliative-care patients occurs irrespective of age. The multifactorial nature and adverse outcomes of delirium across all age in these patients require clinical recognition. Potentially reversible factors should be detected early to prevent or mitigate delirium and its poor survival outcomes.

A call to action for delirium research: Meta-analysis and regression of delirium associated mortality

Background

Delirium is an extremely common hospital complication. No study to date has assessed whether a priori defined covariates; type of hospital setting and year of study publication, influence the relationship between delirium and mortality. This is also the first study to examine the longitudinal trend of delirium-associated mortality over recent decades, to analyse the trajectory of our efforts in combating this disease.

Methods

MEDLINE, EMBASE and PsycINFO, were searched from January 1981 to May 2018 for English-language primary articles. Rigorous title and abstract screen and full-text screen were conducted independently by two reviewers. This paper adhered to MOOSE guidelines. Data was extracted independently by one reviewer using standardised data-collection sheets, with a separate reviewer verifying for accuracy. The quality of included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. Unadjusted effect sizes and event counts were analysed with a random effects model in primary meta-analysis and meta-regression, whereas a mixed effect model was used in secondary sub-group analysis. Mortality data at longest follow-up and cumulative mortality (hospital mortality combined with mortality at longest follow-up) data were analysed.

Results

As part of a larger project, 446 of 6790 articles were retrieved, including 71 studies that measured mortality. Our results demonstrate that elderly inpatients with delirium had significantly greater odds of mortality (OR 3.18 [95%CI: 2.73, 3.70]) compared to non-delirious controls. Patients with delirium in the ICU had the highest odds for mortality (OR: 7.09 [95%CI: 3.60, 14.0]); double the risk compared to the average. Curiously, despite advancements in delirium research, delirium associated in-hospital odds of mortality has not changed in 30 years.

Conclusion

This is the largest meta-analysis to confirm the association between delirium and mortality, in older (age ≥ 65) hospital inpatients.

The current meta-analysis highlights the significant odds of mortality after an episode of delirium, and these odds are much higher for ICU patients. However, in contrast to other medical conditions that have seen a decrease in associated mortality over the past few decades, delirium associated mortality remains unchanged. These findings underscore the urgent need for better delirium treatments.

PROSPERO Registration Number: CRD42018098627, https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=98627

The prevalence rates and adversities of delirium: Too common and disadvantageous

Objective

The prevalence rates and adversities of delirium have not yet been systematically evaluated and are based on selected populations, limited sample sizes, and pooled studies. Therefore, this study assesses the prevalence rates and outcome of and odds ratios for managing services for delirium.

Methods

In this prospective cohort study, based on the Diagnostic and Statistical Manual (DSM) 5, the Delirium Observation Screening (DOS) scale, and the Intensive Care Delirium Screening Checklist (ICDSC) construct, 28,118 patients from 35 managing services were included, and the prevalence rates and adverse outcomes were determined by simple logistic regressions and their corresponding odds ratios (ORs).

Results

Delirious patients were older, admitted from institutions (OR 3.44–5.2), admitted as emergencies (OR 1.87), hospitalized twice longer, and discharged, transferred to institutions (OR 5.47–6.6) rather than home (OR 0.1), or deceased (OR 43.88). The rate of undiagnosed delirium was 84.2%. The highest prevalence rates were recorded in the intensive care units (47.1–84.2%, pooled 67.9%); in the majority of medical services, rates ranged from 20% to 40% (pooled 26.2%), except, at both ends, palliative care (55.9%), endocrinology (8%), and rheumatology (4.4%). Conversely, in surgery and its related services, prevalence rates were lower (pooled 13.1%), except for cardio- and neurosurgical services (53.3% and 46.4%); the lowest prevalence rate was recorded in obstetrics (2%).

Significance of results

Delirium remains underdiagnosed, and novel screening approaches are required. Furthermore, this study identified the impact of delirium on patients, determined the prevalence rates for 32 services, and elucidated the association between individual services and delirium.

Risk factors for delirium among older adults in the emergency department: a systematic review protocol

INTRODUCTION

Delirium is commonly missed in older adults presenting to the emergency department (ED). Although current recommendations for active screening of delirium in the ED, this might not be feasible or practical. Identifying patients at high risk for prevalent and incident delirium in the ED will help to improve the screening process and to build interventions. There is currently scattered synthesis of evidence on risk factors associated with delirium in the ED. To address this gap, we are conducting a systematic review to describe the risk factors (patient vulnerability factors and precipitating factors) for delirium in the ED.

METHODS AND ANALYSIS

A literature search was performed from inception to March 2020 in Ovid EBM Reviews, Ovid EMBASE, Ovid MEDLINE, Scopus and Web of Science. We will include original research studies that report a quantitative relationship between at least one risk factor and delirium in the ED setting. Two investigators will use eligibility criteria from this protocol to independently screen titles and abstracts, and select studies based on full-text review of potentially eligible studies. After arriving at a final set of included studies, two investigators will extract data using a standardised data collection form. If appropriate, data regarding each risk factor will be pooled through a random-effect meta-analysis. The Grading of Recommendations Assessment, Development and Evaluation approach will be used to evaluate the overall quality of evidence.

ETHICS AND DISSEMINATION

To our knowledge, this will be the first systematic review evaluating risk factors for prevalent and incident delirium specifically related to the ED setting. Results of this study will aid in the identification of older adults at risk for delirium in the ED. We aim to publish the results of this systematic review in a peer-reviewed journal with good visibility for the fields of emergency medicine and geriatrics.PROSPERO registration numberCDR42020175261.

Predicting medication-associated altered mental status in hospitalized patients: Development and validation of a risk model

PURPOSE

This study presents a medication-associated altered mental status (AMS) risk model for real-time implementation in inpatient electronic health record (EHR) systems.

METHODS

We utilized a retrospective cohort of patients admitted to 2 large hospitals between January 2012 and October 2013. The study population included admitted patients aged ≥18 years with exposure to an AMS risk-inducing medication within the first 5 hospitalization days. AMS events were identified by a measurable mental status change documented in the EHR in conjunction with the administration of an atypical antipsychotic or haloperidol. AMS risk factors and AMS risk-inducing medications were identified from the literature, drug information databases, and expert opinion. We used multivariate logistic regression with a full and backward eliminated set of risk factors to predict AMS. The final model was validated with 100 bootstrap samples.

RESULTS

During 194,156 at-risk days for 66,875 admissions, 262 medication-associated AMS events occurred (an event rate of 0.13%). The strongest predictors included a history of AMS (odds ratio [OR], 9.55; 95% confidence interval [CI], 5.64-16.17), alcohol withdrawal (OR, 3.34; 95% CI, 2.18-5.13), history of delirium or psychosis (OR, 3.25; 95% CI, 2.39-4.40), presence in the intensive care unit (OR, 2.53; 95% CI, 1.89-3.39), and hypernatremia (OR, 2.40; 95% CI, 1.61-3.56). With a C statistic of 0.85, among patients scoring in the 90th percentile, our model captured 159 AMS events (60.7%).

CONCLUSION

The risk model was demonstrated to have good predictive ability, with all risk factors operationalized from discrete EHR fields. The real-time identification of higher-risk patients would allow pharmacists to prioritize surveillance, thus allowing early management of precipitating factors.

Plasma biomarkers of inflammation, coagulation, and brain injury as predictors of delirium duration in older hospitalized patients

Background

Delirium's pathophysiology is poorly understood. We sought to determine if plasma biomarkers of inflammation, coagulation, endothelial activation, and blood brain barrier (BBB) injury were associated with emergency department (ED) delirium duration.

Methods

We enrolled hospitalized patients who were 65 years or older from the ED. Plasma biomarkers of inflammation (interleukin-6 [IL-6], IL-8, soluble tumor necrosis factor receptor I [sTNFRI]), coagulation (Protein C), endothelial activation (plasminogen activating inhibitor-1 [PAI-1]), and BBB injury (S100B) at were measured using blood obtained at enrollment. The dependent variable was ED delirium duration which was determined by the Brief Confusion Assessment Method assessed in the ED and hospitalization. Proportional odds logistic regression analyses were performed adjusted for relevant confounders and allowing for interaction by baseline dementia status.

Results

A total of 156 patients were enrolled. IL-6 (POR = 1.59, 95%CI: 1.09–2.32) and PAI-1 (POR = 2.96, 95%CI: 1.48 to 6.85) were independently associated with more prominent ED delirium duration in subjects without dementia only. No significant associations between IL-8, Protein C, sTNRFI, and S100B and ED delirium duration were observed.

Conclusions

Plasma Biomarkers of systemic inflammation and endothelial activation are associated with ED delirium duration in older ED patients without dementia.

Supratherapeutic Psychotropic Drug Levels in the Emergency Department and Their Association with Delirium Duration: A Preliminary Study

OBJECTIVES

Polypharmacy is associated with delirium, but the mechanisms for this connection are unclear. Our goal was to determine the frequency of supratherapeutic psychotropic drug levels (SPDLs) in older hospitalized patients and if it is associated with the duration of emergency department (ED) delirium.

DESIGN

Secondary analysis of a prospective cohort study.

SETTING

Tertiary care academic medical center.

PARTICIPANTS

ED patients 65 years or older who were admitted to the hospital.

MEASUREMENTS

Delirium was assessed in the ED and during the first 7 days of hospitalization using the modified Brief Confusion Assessment Method. Drug concentrations were determined in serum samples collected at enrollment via a novel platform based on liquid chromatography-tandem mass spectrometry capable of identifying and quantitating 78 clinically approved medications including opioids, benzodiazepines, antidepressants, antipsychotics, and amphetamines. Patients with serum psychotropic drug concentrations above established reference ranges were considered supratherapeutic and have a SPDL. We performed proportional odds logistic regression to determine if SPDLs were associated with ED delirium duration adjusted for confounders. Medical record review was performed to determine if the doses of medications associated with SPDLs were adjusted at hospital discharge.

RESULTS

A total of 158 patients were enrolled; of these, 66 were delirious in the ED. SPDLs were present in 11 (17%) of the delirious and 4 (4%) of the non-delirious ED patients. SPDLs were significantly associated with longer ED delirium duration (adjusted proportional odds ratio = 6.0; 95% confidence interval = 2.1-17.3) after adjusting for confounders. Of the 15 medications associated with SPDLs, 9 (60%) were prescribed at the same or higher doses at the time of hospital discharge.

CONCLUSION

SPDLs significantly increased the odds of prolonged ED delirium episodes. Approximately half of the medications associated with SPDLs were continued after hospital discharge at the same or higher doses. J Am Geriatr Soc 67:2387-2392, 2019.

Identification of Patients With High Mortality Risk and Prediction of Outcomes in Delirium by Bispectral EEG

BACKGROUND

Delirium is common and dangerous, yet underdetected and undertreated. Current screening questionnaires are subjective and ineffectively implemented in busy hospital workflows. Electroencephalography (EEG) can objectively detect the diffuse slowing characteristic of delirium, but it is not suitable for high-throughput screening due to size, cost, and the expertise required for lead placement and interpretation. This study hypothesized that an efficient and reliable point-of-care EEG device for high-throughput screening could be developed.

METHODS

This prospective study, which measured bispectral EEG (BSEEG) from elderly inpatients to assess their outcomes, was conducted at the University of Iowa Hospitals and Clinics from January 2016 to October 2017. A BSEEG score was defined based on the distribution of 2,938 EEG recordings from the 428 subjects who were assessed for delirium; primary outcomes measured were hospital length of stay, discharge disposition, and mortality.

RESULTS

A total of 274 patients had BSEEG score data available for analysis. Delirium and BSEEG score had a significant association (P < .001). Higher BSEEG scores were significantly correlated with length of stay (P < .001 unadjusted, P = .001 adjusted for age, sex, and Charlson Comorbidity Index [CCI] score) as well as with discharge not to home (P < .01). Hazard ratio for survival controlling for age, sex, CCI score, and delirium status was 1.35 (95% CI,1.04 to 1.76; P = .025).

CONCLUSIONS

In BSEEG, an efficient and reliable device that provides an objective measurement of delirium status was developed. The BSEEG score is significantly associated with pertinent clinical outcomes of mortality, hospital length of stay, and discharge disposition. The BSEEG score better predicts mortality than does clinical delirium status. This study identified a previously unrecognized subpopulation of patients without clinical features of delirium who are at increased mortality risk.

Serum biomarkers of delirium in the elderly: a narrative review

Delirium after surgery and in the intensive care unit (ICU) remains a challenge for patients, families, and caregivers. Over the years, many promising biomarkers have been investigated as potential instruments for risk stratification of delirium. This review aimed to identify and assess the clinical usefulness of candidate serum biomarkers associated with hospital delirium in patients aged 60 years and older. We performed a time-unlimited review of publications indexed in PubMed, Cochrane, Embase, and MEDLINE databases until June 2019 that evaluated baseline and/or longitudinal biomarker measurements in patients suffering from delirium at some point during their hospital stay. A total of 32 studies were included in this review reporting information on 7610 patients. Of these 32 studies, twenty-four studies reported data from surgical patients including four studies in ICU cohorts, five studies reported data from medical patients (1026 patients), and three studies reported data from a mixed cohort (1086 patients), including one study in an ICU cohort. Findings confirm restricted clinical usefulness to predict or diagnose delirium due to limited evidence on which biomarkers can be used and limited availability due to non-routine use.

Impact of an educational workshop upon psychiatrists' attitudes towards delirium care

OBJECTIVES

Improving knowledge about delirium care is a key target for health care. We describe the implementation of a four-part workshop focusing upon key aspects of delirium care.

METHODS

Attitudes towards and understanding of delirium diagnosis and management amongst psychiatrists were surveyed before and immediately after an educational workshop.

RESULTS

There were 62 participants. Pre-workshop, delirium was rated highly relevant to psychiatry. Overall level of confidence in diagnosis was modest, with the behavioural and psychological symptoms of dementia considered the most challenging differential diagnosis. Only nine participants (15%) correctly identified DSM-5 delirium criteria. Preferred assessment of attention varied with six different approaches endorsed. Confidence was higher for managing hyperactive compared with hypoactive delirium (p&lt;0.001). Pharmacotherapy was more frequently endorsed for hyperactive compared with hypoactive presentations, with haloperidol the most popular agent (p&lt;0.001). A total of 41 (66%) participants completed post-workshop assessments. Post-workshop, there were significant increases to the perceived relevance of delirium (p = 0.003), confidence in overall diagnosis (p&lt;0.001) accuracy of awareness of DSM-5 criteria (p&lt;0.001), and confidence in treating different presentations (p&lt;0.001). The Months Backward Test was the preferred bedside test of attention (38/40 respondents).

CONCLUSIONS

This interactive educational intervention impacted positively upon knowledge and attitudes amongst psychiatrists towards key aspects of delirium care. Further investigation can examine the impact upon longer term knowledge and behaviour.

Delirium is associated with increased mortality in the geriatric population

OBJECTIVE

The aim of this study was to investigate the prevalence of delirium and its association with mortality rates in elderly inpatients.

METHODS

The medical records of 1435 patients over 65 years old who were treated at a regional university hospital and were referred to the university's Consultation and Liaison Psychiatry Clinic for psychological evaluation were retrospectively analyzed. Patients with and without a diagnosis of delirium were compared. The National Survival Database was used to determine mortality rates.

RESULTS

The prevalence of delirium was 25.5%. The delirium group was older (p < .0001) and had a larger proportion of males (p < .0001). Mortality rate was higher in the delirium group at 1, 2, 3, 4, and 5 years (p < .0001 for all). Age, gender, lower urinary system diseases, chronic liver disease, solid hematologic malignancy, infections, and Alzheimer's disease emerged as significant parameters associated with mortality. Multivariate analysis of these parameters indicated that comorbid diseases (lower urinary system diseases, chronic liver disease, solid hematologic malignancy, infections, and Alzheimer's disease) are risk factors for mortality independent of demographic data such as age and gender.

CONCLUSIONS

Independent of all other factors, delirium is associated with higher mortality risk.

TIME to think about delirium: improving detection and management on the acute medical unit

Delirium affects 18%–35% patients in the acute hospital setting, yet is often neither detected nor managed appropriately. It is associated with increased risk of falls, longer hospital stay and increased morbidity and mortality rates. It is a frightening and unpleasant experience for both patients and their families. We used quality improvement tools and a multicomponent intervention to promote detection and improve management of delirium on the acute medical unit (AMU). We reviewed whether a delirium screening tool (4AT) had been completed for all patients aged over 65 years admitted to the AMU over 1 week. If delirium was detected, we assessed whether investigation and management was adequate as per national guidance. After baseline data collection, we delivered focused sessions of delirium education for doctors and nursing staff, including training on use of the 4AT tool and the TIME (Triggers, Investigate, Manage, Engage) management bundle. We introduced TIME checklists, an online delirium order set and created a bedside orientation tool. We collected data following the interventions and identified areas for further improvement. Following our first PDSA (Plan, Do, Study, Act) cycle, use of the 4AT screening tool improved from 40% to 61%. Adequate assessment for the causes of and exacerbating factors for delirium increased from 73% to 94% of cases. Use of personal orientation tools improved from 0% to 38%. In summary, a targeted staff education programme and practical aids for the ward have improved the screening and management of delirium on the AMU. This may be improved further through more frequent training sessions to account for regular change-over of junior doctors and through implementing a nursing champion for delirium.

Attention, vigilance, and visuospatial function in hospitalized elderly medical patients: relationship to delirium syndromal status and motor subtype profile

ABSTRACTBackground:The early and effective detection of neurocognitive disorders poses a key diagnostic challenge. We examined performance on common cognitive bedside tests according to differing delirium syndromal status and clinical (motor) subtypes in hospitalized elderly medical inpatients.

METHODS

A battery of nine bedside cognitive tests was performed on elderly medical inpatients with DSM-IV delirium, subsyndromal delirium (SSD), and no delirium (ND). Patients with delirium were compared according to clinical (motor) subtypes.

RESULTS

A total of 198 patients (mean age 79.14 ± 8.26) were assessed with full syndromal delirium (FSD: n = 110), SSD (n = 45), and ND (n = 43). Delirium status was not associated with differences in terms of gender distribution, age, or overall medication use. Dementia burden increased with greater delirium status. Overall, the ability to meaningfully engage with the tests varied from 59% for the Vigilance B test to 85% for Spatial Span Forward test and was lowest in patients with FSD, where engagement ranged from 32% for the Vigilance B test to 77% for the Spatial Span Forwards test. The ND group was distinguished from SSD group for the Months of the year backwards, Vigilance B, global VSP, Clock Drawing test, and Interlocking Pentagons test. The SSD group was distinguished from the FSD group by Vigilance A, Spatial Span Forward, and Spatial Span Backwards. Regarding differences among motor subtypes in terms of percentage engagement and performance, the No subtype group had higher ratings across all tests. Delirious patients with no subtype had significantly lower scores on the DRS-R98 than for the other three subtype categories.

CONCLUSIONS

Simple bedside tests of attention, vigilance, and visuospatial ability are useful in distinguishing neurocognitive disorders, including SSD from other presentations.

Fluoroquinolone-Related Neuropsychiatric Events in Hospitalized Veterans

OBJECTIVE

To measure the incidence and risk factors for fluoroquinolone (ciprofloxacin, moxifloxacin, and levofloxacin)-associated psychosis or delirium in a veteran population.

METHODS

A retrospective study was conducted in the Western New York Veterans Affairs Health System (2005-2013). Participants were hospitalized veterans receiving a fluoroquinolone for at least 48 hours (n = 631). Cases of delirium or psychosis were defined by the Diagnostic and Statistical Manual of Mental Disorders-IV criteria, and the Naranjo scale (score ≥ 1) was used to determine the probability of the adverse drug reaction being related to fluoroquinolones. A bivariate analysis of covariates followed by a multivariate logistic regression was used to determine predisposing factors to the development of delirium/psychosis.

RESULTS

The mean age of the population was 71.5 years (range: 22-95). Fluoroquinolone-associated delirium/psychosis occurred in 3.7% of the inpatients studied (n = 23). The median Naranjo score was 3 indicating a possible association. Psychosis/delirium occurred in 3.6% of ciprofloxacin-treated patients (n = 14/391), 4.5% of patients-treated with moxifloxacin (n = 9/200), and 0% of those receiving levofloxacin (n = 0/40); p = 0.4. Significant risk factors for development of delirium/psychosis in patients receiving a fluoroquinolone in the multivariate logistical regression included typical antipsychotic use (OR, 5.4; 95% CI: 1.4-16.7) and age. A 10-year increase in age was associated with a 1.8-fold greater odds of a neuropsychiatric event.

CONCLUSIONS

Fluoroquinolones may be more commonly associated with delirium/psychosis than originally reported in this veteran population. Caution should be used when prescribing a fluoroquinolone for patients on typical antipsychotics and those of advanced age.

Does admission to a specialist geriatric medicine ward lead to improvements in aspects of acute medical care for older patients with dementia?

OBJECTIVE

The objective of this study is to clarify if admission to a specialist geriatric medicine ward leads to improvements in aspects of acute medical care for patients with dementia.

METHODS

We analysed combined data involving 900 patients from the Irish and Northern Irish audits of dementia care. Data on baseline demographics, admission outcomes, clinical aspects of care, multidisciplinary assessment and discharge planning processes were collected.

RESULTS

Less than one-fifth of patients received their inpatient care on a specialist geriatric medicine ward. Patients admitted to a geriatric medicine ward were less likely to undergo a formal assessment of mobility compared with those in non-geriatric wards (119/143 (83%) vs 635/708 (90%), odds ratio (OR) = 0.57 (0.35 to 0.94)) and were more likely to receive newly prescribed antipsychotic medication during the admission (27/54 (50%) vs 95/2809 (36%), OR = 1.95 (1.08 to 3.51)). Patients admitted to a geriatric medicine ward were more likely to have certain aspects of discharge planning initiated, including completion of a single plan for discharge (78/118 (66%) vs 275/611 (45%), OR = 2.38 (1.58 to 3.60)). Surgical wards performed more poorly on certain aspects including having a named discharge co-ordinator (32/71, 45%) and documentation of decisions regarding resuscitation status (18/95, 19%).

CONCLUSION

Relatively low numbers of patients with dementia received care on a specialist geriatric medicine ward. There appears to be a more streamlined discharge planning process in place on these wards, but they did not perform as well as one would expect in certain areas, such as compliance with multidisciplinary assessment and antipsychotic prescribing. Copyright © 2016 John Wiley & Sons, Ltd.

Dementia in the acute hospital: the prevalence and clinical outcomes of acutely unwell patients with dementia

BACKGROUND

Studies have demonstrated that a significant minority of older persons presenting to acute hospital services are cognitively impaired; however, the impact of dementia on long-term outcomes is less clear.

AIM

To evaluate the prevalence of dementia, both formally diagnosed and hitherto unrecognised in a cohort of acutely unwell older adults, as well as its impact on both immediate outcomes (length of stay and in-hospital mortality) and 12-month outcomes including readmission, institutionalisation and death.

DESIGN

Prospective observational study.

METHODS

190 patients aged 70 years and over, presenting to acute hospital services underwent a detailed health assessment including cognitive assessment (standardised Mini Mental State Examination, AD8 and Confusion Assessment Method for the Intensive Care Unit). Patients or informants were contacted directly 12 months later to compile 1-year outcome data. Dementia was defined as a score of 2 or more on the AD8 screening test.

RESULTS

Dementia was present in over one-third of patients (73/190). Of these patients, 36% (26/73) had a prior documented diagnosis of dementia with the remaining undiagnosed before presentation. The composite outcome of death or readmission to hospital within the following 12 months was more likely to occur in patients with dementia (73% (53/73) vs. 58% (68/117), P = 0.043). This finding persisted after controlling for age, gender, frailty status and medical comorbidities, including stroke and heart disease.

CONCLUSION

A diagnosis of dementia confers an increased risk of either death or further admission within the following 12 months, highlighting the need for better cognitive screening in the acute setting, as well as targeted intervention such as comprehensive geriatric assessment.