Delirium in geriatric patients

Lipid dysregulation and delirium in older adults: A review of the current evidence and future directions

Delirium is a complex medical condition marked by acute episodes of cognitive dysfunction and behavioral disturbances, with a multifaceted etiology and challenging management across various clinical settings. Older adults, particularly in postoperative contexts, are at increased risk of developing delirium. Despite extensive research, a single underlying pathophysiological mechanism for delirium remains elusive. However, emerging evidence suggests a correlation between lipid dysregulation and delirium development in elderly patients, especially in postoperative settings. This connection has led to proposed treatments targeting dyslipidemia and associated neuroinflammatory effects in acute-phase delirium. This review aims to synthesize current literature on the relationship between lipid dysregulation and delirium in older adults, highlighting the need for further research into specific neurolipidome constituents and age-related lipid profile changes, potentially uncovering novel therapeutic strategies for delirium.

Left atrial appendage occlusion in vulnerable oldest-old patients - Effectiveness and safety in a large single-center registry

BACKGROUND AND AIM

Complex periprocedural approaches contrast with the need of oldest-old patients to keep medical procedures simple and short. This study investigates the effectiveness and safety of a simplified non-complex LAAO procedure.

METHODS

All patients who received an LAAO procedure at our center since 2014 with available follow-up data were retrospectively assessed concerning effectiveness in preventing all-cause death, stroke, or systemic embolism (i.e., effectiveness outcome). Safety was primarily evaluated by major bleeding (i.e., ≥ BARC type 3). Oldest-old patients (i.e., ≥ 80 years of age) were compared with younger patients.

RESULTS

43.0 % of 230 patients were oldest-olds. High technical success rate was achieved in both groups (oldest-olds 96.0 vs. younger patients 98.5 %; p = 0.41). Major complications occurred in 8.1 vs. 3.8 % of patients (p = 0.17). Effectiveness outcome was achieved in 70.7 vs. 82.4 % of patients (p = 0.035; mean follow-up 428 (100; 1007) and 382 (179; 1192) days). Oldest-old patients trended to an excess mortality (22.2 vs. 13.0 %; p = 0.064) and more ischemic strokes (10.1 vs. 3.8 %; p = 0.056). This was not associated with peri-device leaks ≥ 5 mm or device-related thromboses (2.0 vs. 1.5 %; p = 1.00). Major bleeding occurred in 9.1 vs. 7.6 % of patients over total follow-up (p = 0.69).

CONCLUSIONS

Non-complex LAAO procedure achieved a state-of-the-art technical success rate and a low complication rate in vulnerable oldest-old patients. Care should be taken to identify patients with sufficient life expectancy to benefit from LAAO. The trend towards more ischemic strokes during follow-up is an important signal focusing on cardioembolic stroke etiologies besides LAA thrombi in these patients.

Evaluating a customised large language model (DELSTAR) and its ability to address medication-related questions associated with delirium: a quantitative exploratory study

BACKGROUND

A customised large language model (LLM) could serve as a next-generation clinical pharmacy research assistant to prevent medication-associated delirium. Comprehensive evaluation strategies are still missing.

AIM

This quantitative exploratory study aimed to develop an approach to comprehensively assess the domain-specific customised delirium LLM (DELSTAR) ability, quality and performance to accurately address complex clinical and practice research questions on delirium that typically require extensive literature searches and meta-analyses.

METHOD

DELSTAR, focused on delirium-associated medications, was implemented as a 'Custom GPT' for quality assessment and as a Python-based software pipeline for performance testing on closed and leading open models. Quality metrics included statement accuracy and data credibility; performance metrics covered F1-Score, sensitivity/specificity, precision, AUC, and AUC-ROC curves.

RESULTS

DELSTAR demonstrated more accurate and comprehensive information compared to information retrieved by traditional systematic literature reviews (SLRs) (p < 0.05) and accessed Application Programmer Interfaces (API), private databases, and high-quality sources despite mainly relying on less reliable internet sources. GPT-3.5 and GPT-4o emerged as the most reliable foundation models. In Dataset 2, GPT-4o (F1-Score: 0.687) and Llama3-70b (F1-Score: 0.655) performed best, while in Dataset 3, GPT-3.5 (F1-Score: 0.708) and GPT-4o (F1-Score: 0.665) led. None consistently met desired threshold values across all metrics.

CONCLUSION

DELSTAR demonstrated potential as a clinical pharmacy research assistant, surpassing traditional SLRs in quality. Improvements are needed in high-quality data use, citation, and performance optimisation. GPT-4o, GPT-3.5, and Llama3-70b were the most suitable foundation models, but fine-tuning DELSTAR is essential to enhance sensitivity, especially critical in pharmaceutical contexts.

Utility of point-of-care ultrasound (POCUS) in hospitalized patients with acute confusional syndrome of unclear etiology

Acute confusional syndrome (ACS) is a disruption of cognitive function and attention that affects up to 42% of hospitalised patients, most commonly in those over the age of 65. It is typically triggered by one or more precipitating factors in predisposed patients. Point-of-care ultrasound (POCUS) emerges as a tool that could be used to provide quick and accurate information in the diagnosis of patients with ACS, potentially reducing the waiting time for critical interventions, decreasing the need for invasive procedures, and possibly improving clinical outcomes. To date, no articles have been published describing the utility of POCUS in patients with ACS. Therefore, this work presents a review of the utility of POCUS in various pathologies that may be related to the development of ACS. Additionally, we propose an action algorithm that integrates clinical evaluation with bedside ultrasound, which could be useful for allowing quick and accurate identification of the underlying causes of ACS and the guidance of appropriate treatment, although prospective studies are needed to confirm this utility.

Practical prognostic tools to predict the risk of postoperative delirium in older patients undergoing cardiac surgery: visual and dynamic nomograms

PURPOSE

Postoperative Delirium (POD) has an incidence of up to 65% in older patients undergoing cardiac surgery. We aimed to develop two dynamic nomograms to predict the risk of POD in older patients undergoing cardiac surgery.

METHODS

This was a single-center retrospective cohort study, which included 531 older patients who underwent cardiac surgery from July 2021 to June 2022 at Nanjing First Hospital, China. Univariable and multivariable logistic regression were used to identify the significant predictors used when constructing the models. We evaluated the performances and accuracy, validated, and estimated the clinical utility and net benefit of the models using the receiver operating characteristic (ROC), the 10-fold cross-validation, and decision curve analysis (DCA).

RESULTS

A total of 30% of the patients developed POD, the significant predictors in the preoperative model were ASA ( p < 0.001 OR = 3.220), cerebrovascular disease (p < 0.001 OR = 2.326), Alb (p < 0.037 OR = 0.946), and URE (p < 0.001 OR = 1.137), while for the postoperative model they were ASA (p = 0.044, OR = 1.737), preoperative MMSE score (p = 0.005, OR = 0.782), URE (p = 0.017 OR = 1.092), CPB duration (p < 0.001 OR = 1.010) and APACHE II (p < 0.001, OR = 1.353). The preoperative and postoperative models achieved satisfactory predictive performances, with AUC values of 0.731 and 0.799, respectively. The web calculators can be accessed at https://xxh152.shinyapps.io/Pre-POD/ and https://xxh152.shinyapps.io/Post-POD/ .

CONCLUSION

We established two nomogram models based on the preoperative and postoperative time points to predict POD risk and guide the flexible implementation of possible interventions at different time points.

Prevalence of delirium in German nursing homes: protocol for a cross-sectional study

INTRODUCTION

Delirium is a neuropathological syndrome that is associated with several negative outcomes. Nursing home residents are vulnerable to developing delirium. Valid prevalence data and associated factors are not yet available for Germany. Therefore, the aim of the prevalence study of the DeliA project (Delirium in Nursing Homes) is to assess the prevalence of delirium and its associated factors in 750 nursing home residents.

METHODS AND ANALYSIS

Trained registered nurses from each participating nursing home will collect the data in a multicentre cross-sectional study. The inclusion criteria for residents are valid informed consent, age ≥65 years and sufficient language skills. The exclusion criteria are aphasia, coma, deafness or end-of-life status. The 4 'A's Test will be used as the primary measurement. Delirium motor subtypes will be determined using the Delirium Motor Subtype Scale. Covariables for associated factors, including functional impairments, pain, cognitive status and nutritional status, are assessed through standardised measurements. Moreover, data such as prescribed drugs or medical diagnosis, hearing impairment or falls will be assessed from the nursing records. Furthermore, the Drug Burden Index will be calculated, and associated factors will be determined using a logistic regression model. The period for data collection in participating nursing homes is planned for 2 consecutive weeks in April 2024.

ETHICS AND DISSEMINATION

This study was approved by the Ethics Committee of Witten/Herdecke University (no. 82/2023). Findings will be published in peer-reviewed journals and presented at conferences.

REGISTRATION

https://osf.io/xkfvh/ (DOI 10.17605/OSF.IO/XKFVH).

Unveiling the Immune Landscape of Delirium through Single-Cell RNA Sequencing and Machine Learning: Towards Precision Diagnosis and Therapy

BACKGROUND

Postoperative delirium (POD) poses significant clinical challenges regarding its diagnosis and treatment. Identifying biomarkers that can predict and diagnose POD is crucial for improving patient outcomes.

METHODS

To explore potential biomarkers for POD, we conducted bulk RNA sequencing (bulk-seq) on peripheral blood samples from POD patients and healthy controls. The expression levels of genes downstream of the phosphatidylinositol 3-kinase/protein kinase B (PI3K-Akt) signalling pathway were analysed. We then validated the expression of these genes using quantitative real-time polymerase chain reaction (RT-qPCR) in an independent cohort of 30 healthy controls and 30 POD patients. Receiver operating characteristic (ROC) analysis and six machine learning models were used to evaluate the predictive and diagnostic value of these genes. Additionally, single-cell RNA sequencing (scRNA-seq) was performed to validate gene expression in specific subsets of peripheral blood mononuclear cells (PBMCs), including T-cells, B-cells, natural killer (NK) cells, dendritic cells (DCs), and monocytes.

RESULTS

Bulk-seq revealed increased expression of genes downstream of the PI3K-Akt signalling pathway, specifically CHRM2, IL6, NOS3, NGF, and IL6R, in the peripheral blood of POD patients compared to healthy controls. Conversely, the expression of IGF1 was significantly decreased. RT-qPCR validation confirmed these findings. ROC analysis and machine learning models indicated that these genes are useful for predicting and diagnosing POD. scRNA-seq further validated the expression of these genes in specific PBMC subsets, including T-cells, B-cells, NK cells, DCs, and monocytes, with results consistent with the bulk-seq and RT-qPCR data.

CONCLUSIONS

The abnormal activation of the PI3K-Akt signalling pathway in T-cells, B-cells, NK cells, DCs, and monocytes may serve as potential biomarkers for predicting and diagnosing POD. These findings could inform the development of novel therapeutic strategies for managing POD.

Exploring factors influencing delirium incidence: Insights from the Alzira cohort study, 2012-2021

INTRODUCTION

Hip fractures are a common pathology among older adults, often accompanied by significant complications such as delirium, a geriatric syndrome associated with prolonged hospitalization, reduced functional recovery, and decreased overall survival rates. This study aims to determine the incidence of delirium and its correlation with various factors during hospitalization, as well as its impact on short-, medium-, and long-term survival.

METHODOLOGY

A retrospective cohort study was undertaken to examine hospital admissions of individuals aged 70 years or older diagnosed with hip fractures at the Hospital Universitario La Ribera in Alzira, Valencia, from January 2012 to December 2021.

RESULTS

A total of 3226 patients were recruited, mean of 85 years, 73.7% females, 26.3% males. Delirium was observed in 10.9% of patients during hospitalization (68.8% females, p=0.029). Patients diagnosed with delirium exhibited a greater prevalence of dementia (25.2%, p<0.001) and chronic kidney disease (14.7%, p=0.018). Delirium was also significantly associated with older age (mean 86.5 years [SD 5.6], p<0.001), increased number of complications (mean 1.4 [SD 1.6], p<0.001), cardiac complications (9.1%, p=0.036), anemia (21.7%, p<0.001), and urinary tract infections (7.4%, p<0.001) during hospitalization. Furthermore, patients with delirium experienced a prolonged hospital stay (mean 9 vs. 7.9 days, p<0.001) and significantly higher short-, medium-, and long-term mortality rates.

DISCUSSION

The study findings underscore a significant association between delirium and comorbidities, complications, and mortality. Early identification of patients at risk for delirium will allow us to implement targeted interventions focused on prevention to enhance patient outcomes.

Correlation Between Reduced Daily Living Competence and the Risk of Postoperative Delirium in Orthopedics and Trauma Surgery

Background/Objectives: Postoperative delirium is a prevalent and serious complication among elderly patients following surgical procedures. Prior research indicates that reduced competence in daily living, as evidenced by limitations in performing Activities of Daily Living (ADL), is directly associated with reduced patient mobility. This study aimed to investigate the potential role of preoperative mobility as a risk factor for the development of postoperative delirium. Methods: To assess preoperative mobility, a comprehensive geriatric evaluation of daily living competence was conducted. This included the Katz Index of Independence in ADL, which assessed basic daily activities over the preceding 14 days, and the Instrumental Activities of Daily Living Scale (IADL). Postoperatively, delirium monitoring was performed twice daily for seven days using validated delirium screening tools, including the Nursing Delirium Screening Scale, the Confusion Assessment Method, and the 4ATest. Results: A significant correlation was observed between the incidence of delirium and the IADL scores in all patients, with p < 0.001 for men and p = 0.001 for women. Among emergency patients, the Katz Index scores significantly differed between those who developed delirium and those who did not (p = 0.015). Additionally, a significant correlation was found between the Katz Index and the incidence of delirium in both groups (p < 0.001). Conclusions: The findings of this study emphasize the necessity of preoperative geriatric assessment using tools such as the Katz Index or IADL to identify patients at risk of delirium. The results confirm the importance of enhanced postoperative monitoring for potential delirium. For elective patients, prehabilitation should be considered when reduced daily living competence is identified. For emergency patients, immediate postoperative interventions, including intensive mobilization and orthogeriatric co-management, are recommended.

PM2.5 is linked to Alzheimer's syndrome and delirium: a mendelian randomization analysis

BACKGROUND

Increasing air pollution has drawn our attention to particulate matter (PM2.5), which has been shown to correlate significantly with respiratory and cardiovascular systems. However, whether PM2.5 is causally associated with Alzheimer's syndrome or delirium is unclear.

METHODS

We retrieved the genetic summary data of PM2.5 from genome-wide association studies (GWAS). The genetic information for Alzheimer's disease was obtained from the IEU OpenGWAS project, and that for delirium was obtained from FinnGen. We used two-sample Mendelian randomization analysis (MR) to associate PM2.5 with Alzheimer's disease or delirium.

RESULTS

The odds ratio (OR) for Alzheimer's disease was 0.996 with a p-value of 0.443 using the inverse variance weighted algorithm, and the OR associated with the outcome variable of delirium was 0.393 with a p-value of 0.343.

CONCLUSION

With the exclusion of confounding factors, our findings do not support a genetic association between PM2.5 and Alzheimer's disease or delirium. Further population-based and experimental studies are needed to dissect the complex correlation between PM2.5 and Alzheimer's disease or delirium.

The evaluation of frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults'

BACKGROUND

Delirium is a common complication in hospitalized older adults with multifactorial etiology and poor health outcomes.

AIM

To determine the frequency and predictors of delirium and its short-term and long-term outcomes in hospitalized older adults.

METHODS

A prospective observational study was performed in patients aged ≥60 years consecutively admitted to geriatric ward. Potential risk factors were assessed within 24 hours of hospital admission. Delirium screening was performed on admission and daily thereafter throughout the hospital stay using Confusion Assessment Method (CAM). Patients were followed up at 1-year post-discharge.

RESULTS

The study included 200 patients with mean age 73.1 ± 8.83 years. Incidence and prevalence rate of delirium were 5% and 20% respectively. Multivariable regression analysis revealed emergency admission (OR= 5.12 (1.94-13.57), p=0.001), functional dependency (Katz index of Independence in Activities of Daily Living (Katz-ADL) score <5) 2 weeks before admission (OR= 3.08 (1.30-7.33), p=0.011) and more psychopathological symptoms (higher Brief Psychiatric Rating Scale (BPRS) total score) (OR=1.12 (1.06-1.18), p=0.001) to be independently associated with delirium. Patients in delirium group had significantly high in-hospital mortality (OR= 5.02 (2.12-11.8), p=0.001) and post-discharge mortality (HR= 2.02 (1.13-3.61), p=0.017) and functional dependency (Katz-ADL score <5) (OR= 5.45 (1.49-19.31), p=0.01) at 1-year follow up.

CONCLUSION

Delirium is quite frequent in geriatric inpatients and is associated with high in-hospital and post-discharge mortality risk and long-term functional dependency. Emergency admission, pre-hospitalization functional dependency, and more general psychopathological symptoms are independently associated factors. Hence, earliest identification and treatment with early implementation of rehabilitation services is warranted.

Non-pharmacological interventions to prevent and treat delirium in older people: An overview of systematic reviews

BACKGROUND

As advanced age is a major risk factor for confusion status, delirium has become prevalent in the older population, contributing to longer hospital stays, cognitive impairment, and higher risks of complications and mortality. Compared with pharmacological methods, non-pharmacological interventions are preferred and are recommended by the National Institute for Health and Care Excellence for the prevention of delirium. Numerous systematic reviews and meta-analyses have been carried out to investigate the effects of non-pharmacological interventions. However, the outcomes were diverse and the quality varied widely, making it challenging to draw firm conclusions from the evidence.

OBJECTIVE

To summarize the contents and evaluate the effects of non-pharmacological interventions to prevent and treat delirium among older people.

DESIGN

Overview of systematic reviews.

METHODS

A comprehensive literature search was conducted in Medline, Cochrane Library, EMBASE, CINAHL, PsycINFO, JBI EBP Database, China's SinoMed, CNKI, and Wangfang databases from inception to 2nd December 2022. Two reviewers performed the study selection, quality appraisal, and data extraction independently. The AMSTAR 2 tool was used to appraise the methodological quality of eligible reviews. The results were presented in narrative synthesis based on types of intervention, including multicomponent and single-component interventions.

RESULTS

Twenty-four systematic reviews were included in this overview, of which four reviews were of high quality. Multicomponent interventions were the most widely disseminated non-pharmacological strategy, which were effective in preventing delirium with 27 %-54 % reduction in delirium incidence. Additionally, the multicomponent strategy also reduced the incidence of falls and pressure ulcers, and showed trends toward shortening the length of stay and improving cognitive function. Among single-component interventions, physical training, geriatric risk assessment, and reorientation protocol revealed positive effects in delirium prevention. However, the effectiveness of non-pharmacological interventions for treating delirium was limited, and while multicomponent methods had inconsistent impacts on the duration and severity of delirium, single-component methods showed no significant impact.

CONCLUSION

Non-pharmacological interventions are effective in reducing the incidence of delirium and improving other health outcomes among older patients. However, the effects on the duration and severity of delirium need more evidence to confirm.

REGISTRATION NUMBER

CRD42022376651 in PROSPERO.

[Polypharmacy and medication review in the context of prehabilitation]

Against the background of typical geriatric multimorbidity and with the particular vulnerability of geriatric patients, polypharmacy deserves special attention. In accordance with the guidelines, medication should not only be reviewed regularly, but also on an ad hoc basis and with each hospital stay-and also in the context of prehabilitation. Thus, not only substances that interfere with the currently planned intervention, anesthesia, or risk of bleeding should be considered, but any medication that increases common risks for geriatric patients. These include drugs that cause or increase a tendency to fall, induce delirium, or alter the comedication through potential drug-drug interactions. Measures to minimize the risk include the following: exact documentation of medications, structured and complete transfer of information, patient and family training about any side effects that may occur, a recall system for possible laboratory checks, and compliance with the instructions for taking the medication.

Preventing and treating delirium in clinical settings for older adults

Delirium is a serious consequence of many acute or worsening chronic medical conditions, a side effect of medications, and a precipitant of worsening functional and cognitive status in older adults. It is a syndrome characterized by fluctuations in cognition and impaired attention that develops over a short period of time in response to an underlying medical condition, a substance (prescribed, over the counter, or recreational), or substance withdrawal and can be multi-factorial. We present a narrative review of the literature on nonpharmacologic and pharmacologic approaches to prevention and treatment of delirium with a focus on older adults as a vulnerable population. Older adult patients are most at risk due to decreasing physiologic reserves, with delirium rates of up to 80% in critical care settings. Presentation of delirium can be hyperactive, hypoactive, or mixed, making identification and study challenging as patients with hypoactive delirium are less likely to come to attention in an inpatient or long-term care setting. Studies of delirium focus on prevention and treatment with nonpharmacological or medication interventions, with the preponderance of evidence favoring multi-component nonpharmacological approaches to prevention as the most effective. Though use of antipsychotic medication in delirium is common, existing evidence does not support routine use, showing no clear benefit in clinically significant outcome measures and with evidence of harm in some studies. We therefore suggest that antipsychotics be used to treat agitation, psychosis, and distress associated with delirium at the lowest effective doses and shortest possible duration and not be considered a treatment of delirium itself. Future studies may clarify the use of other agents, such as melatonin and melatonin receptor agonists, alpha-2 receptor agonists, and anti-epileptics.

Therapeutic dilemma's: antipsychotics use for neuropsychiatric symptoms of dementia, delirium and insomnia and risk of falling in older adults, a clinical review

PURPOSE

Because of the common and increasing use of antipsychotics in older adults, we aim to summarize the current knowledge on the causes of antipsychotic-related risk of falls in older adults. We also aim to provide information on the use of antipsychotics in dementia, delirium and insomnia, their adverse effects and an overview of the pharmacokinetic and pharmacodynamic mechanisms associated with antipsychotic use and falls. Finally, we aim to provide information to clinicians for weighing the benefits and harms of (de)prescribing.

METHODS

A literature search was executed in CINAHL, PubMed and Scopus in March 2022 to identify studies focusing on fall-related adverse effects of the antipsychotic use in older adults. We focused on the antipsychotic use for neuropsychiatric symptoms of dementia, insomnia, and delirium.

RESULTS

Antipsychotics increase the risk of falls through anticholinergic, orthostatic and extrapyramidal effects, sedation, and adverse effects on cardio- and cerebrovascular system. Practical resources and algorithms are available that guide and assist clinicians in deprescribing antipsychotics without current indication.

CONCLUSIONS

Deprescribing of antipsychotics should be considered and encouraged in older people at risk of falling, especially when prescribed for neuropsychiatric symptoms of dementia, delirium or insomnia. If antipsychotics are still needed, we recommend that the benefits and harms of antipsychotic use should be reassessed within two to four weeks of prescription. If the use of antipsychotic causes more harm than benefit, the deprescribing process should be started.

Prevalence of Emergence Delirium and Associated Factors among Older Patients Who Underwent Elective Surgery: A Multicenter Observational Study

Background

Emergence delirium is a common and serious postoperative complication in older surgical patients. It occurs at any time in the perioperative period, during or immediately following emergence from general anesthesia. Unfortunately, it is highly associated with postoperative complications such as a decrease in functional capacity, prolonged hospital stay, an increase in health care costs, and morbidity and mortality. The goal of this study was to determine the prevalence of emergence delirium and associated factors among older patients who underwent elective surgery in the teaching hospitals of Ethiopia at the postanesthesia care unit in 2021.

Methods

A multicenter prospective observational study was conducted at the postanesthetic care unit in the four teaching hospitals of Ethiopia. Older surgical patients admitted to the postanesthesia care unit who underwent elective surgery in the four teaching hospitals of Ethiopia were selected by using simple random sampling. Pretested structured questionnaire was used to collect data. Data were entered into EpiData (version 4.6) and exported to the SPSS (version 25.0). Binary logistic regression was used to identify factors independently associated with the emergence delirium.

Results

Out of 384 older patients included in the study, the prevalence of emergence delirium was 27.6%. Preoperative low hemoglobin levels (AOR: 2.0, 95% CI; 1.77–3.46), opioid (AOR: 8.0, 95% CI; 3.22–27.8), anticholinergic premedications (AOR: 8.5, 95% CI; 6.85–17.35), and postoperative pain (AOR: 3.10, 95 CI; 2.07–9.84) at PACU were independently associated with emergence delirium.

Conclusion

The prevalence of emergence delirium was high among older patients who underwent elective surgery. Opioid and anticholinergic premedication, low preoperative hemoglobin, and the presence of postoperative pain were independently associated with the emergence delirium. Adequate preoperative optimization and postoperative analgesia may reduce the prevalence of emergence delirium.