Delirium in elderly adults: diagnosis, prevention and treatment

Barriers to healthcare professionals recognizing and managing delirium in older adults during a hospital stay: A mixed-methods systematic review

AIM

To investigate barriers to healthcare professionals recognizing and managing delirium in hospitalized older people.

DESIGN

A mixed-methods systematic review.

PROSPERO ID

CRD42020187932.

DATA SOURCES

MEDLINE, EMBASE, PsycINFO and CINAHL were searched (2007 to February 2023).

REVIEW METHODS

Included studies focused on healthcare professionals' recognition and management of delirium for patients aged 65 years and over in a hospital ward or emergency department. Enhancing rigour, screening of results was conducted independently by two researchers. Qualitative and quantitative data were tabulated separately and grouped. Data were compared to identify similarities and differences. All studies were quality appraised.

RESULTS

43 studies were included; 24 quantitative, 16 qualitative and three mixed-methods. Data synthesis highlighted synergy between qualitative and quantitative findings. Barriers were reflected in six themes: (1) healthcare professionals' knowledge and understanding; (2) communication; (3) workforce development; (4) interprofessional working; (5) confounders; and (6) organizational constraints.

CONCLUSIONS

Of significance, for older adults in hospital experiencing delirium, there is variability in whether and how well it is recognized and managed. To prevent adverse outcomes best practice guidance for screening, recognizing, diagnosing and managing delirium in older people needs to be agreed and disseminated widely. Supporting healthcare professionals to care for this patient population using an integrated approach is essential, how to involve and communicate with patients and their family and friends, how to recognize and manage delirium for patients with additional needs, e.g., those living with dementia and/or a learning disability. Hospitals need to have policy and guidance in place for the recognition and management of delirium in older adults presenting to a ward or to an emergency department. An IT infrastructure is needed that integrates assessments and care management plans in patient electronic records and makes them accessible within and across teams in hospital, primary and community care settings.

PATIENT OR PUBLIC CONTRIBUTION

There was no patient or public contribution to this systematic review.

IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE

Healthcare professionals can be better supported to be able to recognize and manage delirium during an acute hospital stay for older adults. This includes maximizing best care for those patients living with dementia, involving families and friends to help understand patients' baseline status and changes and supporting families and friends during this process. Of significance, attention to hospital IT infrastructures is warranted, integrating screening, assessment and care management plans in patients' electronic records and making these accessible to healthcare professionals caring for this patient population across care settings.

IMPACT

What problem did the study address? Delirium is a common condition experienced by older hospitalized patients, but it is consistently under-recognized which has implications for patient and organization outcomes. To help address this, understanding barriers to healthcare professionals recognizing and managing delirium for this patient population is paramount. What were the main findings? Barriers to healthcare professionals recognizing and managing delirium for this patient population were synthesized in six themes: (1) healthcare professionals' knowledge and understanding, (2) communication; (3) workforce development; (4) interprofessional working; (5) confounders; and (6) organizational constraints. Where and on whom will the research have an impact? The findings of this original systematic review can contribute to hospital policy and protocol for the recognition and management of delirium in older patients. The findings can meaningfully contribute to workforce professional development for practitioners caring for older people during an acute hospital stay and for practitioners in primary and community settings involved in the follow-up of patients post hospital discharge. For researchers, the findings indicate several research recommendations including investigating the impact of an education programme for nurses and other healthcare professionals on the recognition and management of the condition and understanding and investigating how best to support delirium-related distress experienced by patients and their families and practitioners.

REPORTING METHOD

This systematic review was reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (Page et al., 2021).

Preoperative Delirium Risk Screening in Patients Undergoing a Cardiac Surgery: Results from the Prospective Observational FINDERI Study

OBJECTIVE

Postoperative delirium (POD) is a common complication of cardiac surgery that is associated with higher morbidity, longer hospital stay, cognitive decline, and mortality. Preoperative assessments may help to identify patients´ POD risk. However, a standardized screening assessment for POD risk has not been established.

DESIGN

Prospective observational FINd DElirium RIsk factors (FINDERI) study.

PARTICIPANTS

Patients aged ≥50 years undergoing cardiac surgery.

MEASUREMENTS

The primary aim was to analyze the predictive value of the Delirium Risk Screening Questionnaire (DRSQ) prior to cardiac surgery. Secondary aims are to investigate cognitive, frailty, and geriatric assessments, and to use data-driven machine learning (ML) in predicting POD. Predictive properties were assessed using receiver operating characteristics analysis and multivariate approaches (regularized LASSO regression and decision trees).

RESULTS

We analyzed a data set of 504 patients (68.3 ± 8.2 years, 21.4% women) who underwent cardiac surgery. The incidence of POD was 21%. The preoperatively administered DRSQ showed an area under the curve (AUC) of 0.68 (95% CI 0.62, 0.73), and the predictive OR was 1.25 (95% CI 1.15, 1.35, p <0.001). Using a ML approach, a three-rule decision tree prediction model including DRSQ (score>7), Trail Making Test B (time>118), and Montreal Cognitive Assessment (score ≤ 22) was identified. The AUC of the three-rule decision tree on the training set was 0.69 (95% CI 0.63, 0.75) and 0.62 (95% CI 0.51, 0.73) on the validation set.

CONCLUSION

Both the DRSQ and the three-rule decision tree might be helpful in predicting POD risk before cardiac surgery.

Rethinking the role of trazodone in the different depressive dimensions

INTRODUCTION

The efficacy of trazodone for several psychopathologic dimensions of depression has been shown in the literature. Trazodone has been widely used in some clinical contexts (e.g. for insomnia and depression in the elderly). However, the role of trazodone in several aspects of depression is not well known.

AREA COVERED

Eight experts from academic and medical centers across Italy met to identify the difficulties and barriers faced in daily clinical practice in the assessment and management of major depressive disorder and how the use of trazodone could address some unmet needs. The objective of the expert meetings and the present document was to increase knowledge of particular areas of treatment with trazodone.

EXPERT OPINION

Evidence of the role of trazodone in patients affected by major depressive disorder with anxiety symptoms, insomnia, agitation, cognitive deficits, alcohol use disorders, physical comorbidities, and suicide risk has been identified, showing the effectiveness of trazodone in different presentations of major depressive disorder. The main characteristics of patients with depression for whom trazodone seems to be most effective have been identified, providing clinicians with information on possible uses of this drug in such population of patients.

Antibiotics for delirium in older adults with pyuria or bacteriuria: A systematic review

BACKGROUND

It is unclear whether antibiotics impact delirium outcomes in older adults with pyuria or bacteriuria in the absence of systemic signs of infection or genitourinary symptoms.

METHODS

We registered our systematic review protocol with PROSPERO (CRD42023418091). We searched the Medline and Embase databases from inception until April 2023 for studies investigating the impact of antimicrobial treatment on the duration and severity of delirium in older adults (≥60 years) with pyuria (white blood cells detected on urinalysis or dipstick) or bacteriuria (bacteria growing on urine culture) and without systemic signs of infection (temperature > 37.9C [>100.2F] or 1.5C [2.4F] increase above baseline temperature, and/or hemodynamic instability) or genitourinary symptoms (acute dysuria or new/worsening urinary symptoms). Two reviewers independently screened search results, abstracted data, and appraised the risk of bias. Full-text randomized controlled trials (RCTs) and observational study designs were included without restriction on study language, duration, or year of publication.

RESULTS

We screened 984 citations and included 4 studies comprising 652 older adults (mean age was 84.6 years and 63.5% were women). The four studies were published between 1996 and 2022, and included one RCT, two prospective observational cohort studies, and one retrospective chart review. None of the four studies demonstrated a significant effect of antibiotics on delirium outcomes, with two studies reported a worsening of outcomes among adults who received antibiotics. The three observational studies included had a moderate or serious overall risk of bias, while the one RCT had a high overall risk of bias.

CONCLUSIONS

Our systematic review found no evidence that treatment with antibiotics is associated with improved delirium outcomes in older adults with pyuria or bacteriuria and without systemic signs of infection or genitourinary symptoms. Overall, the evidence was limited, largely observational, and had substantial risk of bias.

Association between gait speed deterioration and EEG abnormalities

Physical and cognitive decline at an older age is preceded by changes that accumulate over time until they become clinically evident difficulties. These changes, frequently overlooked by patients and health professionals, may respond better than fully established conditions to strategies designed to prevent disabilities and dependence in later life. The objective of this study was twofold; to provide further support for the need to screen for early functional changes in older adults and to look for an early association between decline in mobility and cognition. A cross-sectional cohort study was conducted on 95 active functionally independent community-dwelling older adults in Havana, Cuba. We measured their gait speed at the usual pace and the cognitive status using the MMSE. A value of 0.8 m/s was used as the cut-off point to decide whether they presented a decline in gait speed. A quantitative analysis of their EEG at rest was also performed to look for an associated subclinical decline in brain function. Results show that 70% of the sample had a gait speed deterioration (i.e., lower than 0.8 m/s), of which 80% also had an abnormal EEG frequency composition for their age. While there was no statistically significant difference in the MMSE score between participants with a gait speed above and below the selected cut-off, individuals with MMSE scores below 25 also had a gait speed<0.8 m/s and an abnormal EEG frequency composition. Our results provide further evidence of early decline in older adults-even if still independent and active-and point to the need for clinical pathways that incorporate screening and early intervention targeted at early deterioration to prolong the years of functional life in older age.

Sustained delirium reduction in an inpatient neuroscience unit

BACKGROUND

Delirium is described as acute brain dysfunction that often fluctuates throughout the day and is highly prevalent in hospitalized adults. Delirium negatively affects patient outcomes with consequences including decreased cognitive functioning and increased mortality and healthcare costs. Furthermore, neurological patients are at increased risk for developing delirium due to their underlying diagnoses.

PURPOSE

The purpose of this evidence-based practice project was to evaluate the long-term impact of nursing education and use of trained volunteers to prevent the development of delirium in an inpatient neuroscience unit.

IMPLEMENTATION PLAN

This was a pre-post designed evidence-based practice project to educate and prioritize nursing care interventions for delirium prevention compared to a delirium management framework. The interventions included delirium education for nurses and nursing assistants along with the development of a specialized volunteer program to implement non-pharmacological, multi-component delirium prevention interventions. Long-term sustainment and enculturation occurred over the subsequent year.

OUTCOMES

The baseline data collection period included 2520 patients. The intervention period included 4515 patients, with both groups being similar in age, race, gender, and length of stay. The total number of patients with a discharge diagnosis of delirium decreased from 29.2% to 19.8% (p < .001). Fewer patients in the intervention group were discharged to a skilled nursing facility (p < .001) and other post-acute facility (p = .008), along with more patients being discharged to home care (p < .001).

LINKING EVIDENCE TO ACTION

This evidence-based practice project demonstrates long-term sustained reduction of delirium in the neuroscience population. Despite the challenges during the COVID-19 pandemic, delirium prevention strategies were found to be effective in decreasing the rate at which patients develop delirium.

Validation of the Delirium Observation Screening Scale in long-term care facilities in Flanders

AIM

The aim of this study was to validate the Delirium Observation Screening Scale (DOSS) in a population of long-term care facility (LTCF) residents in Flanders. Currently there is no validated screening tool for delirium available for the population in this setting in Flanders.

METHODS

A multisite, cross-sectional study was conducted in six LTCFs. A total of 338 residents aged 65 years and older were included. Sociodemographic and clinical data, including data from the Montreal Cognitive Assessment (MoCA), Confusion Assessment Method (CAM) and DOSS, were obtained by three trained nurse researchers. For the DOSS, internal consistency was determined, and inter-rater reliability was calculated. To validate the DOSS, the sensitivity, specificity, and positive and negative predictive value of the DOSS relative to the CAM were determined through receiver operating characteristic analysis. This article adheres to the Strengthening the Reporting of Observational Studies (STROBE) checklist for observational research.

RESULTS

For 338 residents, delirium assessments were completed during an early or late shift. The prevalence of delirium was 14.2% as measured with the DOSS. The reliability (α) for the CAM and DOSS was assessed, as was the inter-rater reliability (κ) and the area under the curve. The sensitivity and specificity for a cut-off value of 3 on the DOSS by Youden's index were very high, as was the negative predictive value. The positive predictive value was good.

CONCLUSIONS

This study showed that the DOSS is a reliable and valid instrument to screen for delirium in LTCF residents in Flanders. Geriatr Gerontol Int 2024; 24: 619-625.

Implementation of Agile in healthcare: methodology for a multisite home hospital accelerator

BACKGROUND

The diffusion of innovation in healthcare is sluggish. Evidence-based care models and interventions take years to reach patients. We believe the healthcare community could deliver innovation to the bedside faster if it followed other sectors by employing an organisational framework for efficiently accomplishing work. Home hospital is an example of sluggish diffusion. This model provides hospital-level care in a patient's home instead of in a traditional hospital with equal or better outcomes. Home hospital uptake has steadily grown during the COVID-19 pandemic, yet barriers to launch remain for healthcare organisations, including access to expertise and implementation tools. The Home Hospital Early Adopters Accelerator was created to bring together a network of healthcare organisations to develop tools necessary for programme implementation.

METHODS

The accelerator used the Agile framework known as Scrum to rapidly coordinate work across many different specialised skill sets and blend individuals who had no experience with one another into efficient teams. Its goal was to take 40 weeks to develop 20 'knowledge products',or tools critical to the development of a home hospital programme such as workflows, inclusion criteria and protocols. We conducted a mixed-methods evaluation of the accelerator's implementation, measuring teams' productivity and experience.

RESULTS

18 healthcare organisations participated in the accelerator to produce the expected 20 knowledge products in only 32 working weeks, a 20% reduction in time. Nearly all (97.4%) participants agreed or strongly agreed the Scrum teams worked well together, and 96.8% felt the teams produced a high-quality product. Participants consistently remarked that the Scrum team developed products much faster than their respective organisational teams. The accelerator was not a panacea: it was challenging for some participants to become familiar with the Scrum framework and some participants struggled with balancing participation in the Accelerator with their job duties.

CONCLUSIONS

Implementation of an Agile-based accelerator that joined disparate healthcare organisations into teams equipped to create knowledge products for home hospitals proved both efficient and effective. We demonstrate that implementing an organisational framework to accomplish work is a valuable approach that may be transformative for the sector.

Association between residential greenness and incident delirium: A prospective cohort study in the UK Biobank

BACKGROUND

Contemporary environmental health investigations have identified green space as an emerging factor with promising prospects for bolstering human well-being. The incidence of delirium increases significantly with age and is fatal. To date, there is no research elucidating the enduring implications of green spaces on the occurrence of delirium. Therefore, we explored the relationship between residential greenness and the incidence of delirium in a large community sample from the UK Biobank.

METHODS

Enrollment of participants spanned from 2006 to 2010. Assessment of residential greenness involved the land coverage percentage of green space within a buffer range of 300 m and 1000 m. The relationship between residential greenness and delirium was assessed using the Cox proportional hazards model. Further, we investigated the potential mediating effects of physical activity, particulate matter (PM) with diameters ≤2.5 (PM2.5), and nitrogen oxides (NOx).

RESULTS

Of 232,678 participants, 3722 participants were diagnosed with delirium during a 13.4-year follow-up period. Compared with participants with green space coverage at a 300 m buffer in the lowest quartile (Q1), those in the highest quartile (Q4) had 15 % (Hazard ratio [HR] = 0.85, 95 % confidence interval [CI]: 0.77, 0.94) lower risk of incident delirium. As for the 1000 m buffer, those in Q4 had a 16 % (HR = 0.84, 95 % CI: 0.76, 0.93) lower risk of incident delirium. The relationship between green space in the 300 m buffer and delirium was mediated partially by physical activity (2.07 %) and PM2.5(49.90 %). Comparable findings were noted for the green space percentage within the 1000 m buffer.

CONCLUSIONS

Our results revealed that long-term exposure to residential greenness was related to a lower risk of delirium. Air pollution and physical activity exerted a significant mediating influence in shaping this association.

Machine learning-based model to predict delirium in patients with advanced cancer treated with palliative care: a multicenter, patient-based registry cohort

This study aimed to present a new approach to predict to delirium admitted to the acute palliative care unit. To achieve this, this study employed machine learning model to predict delirium in patients in palliative care and identified the significant features that influenced the model. A multicenter, patient-based registry cohort study in South Korea between January 1, 2019, and December 31, 2020. Delirium was identified by reviewing the medical records based on the criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition. The study dataset included 165 patients with delirium among 2314 patients with advanced cancer admitted to the acute palliative care unit. Seven machine learning models, including extreme gradient boosting, adaptive boosting, gradient boosting, light gradient boosting, logistic regression, support vector machine, and random forest, were evaluated to predict delirium in patients with advanced cancer admitted to the acute palliative care unit. An ensemble approach was adopted to determine the optimal model. For k-fold cross-validation, the combination of extreme gradient boosting and random forest provided the best performance, achieving the following accuracy metrics: 68.83% sensitivity, 70.85% specificity, 69.84% balanced accuracy, and 74.55% area under the receiver operating characteristic curve. The performance of the isolated testing dataset was also validated, and the machine learning model was successfully deployed on a public website ( http://ai-wm.khu.ac.kr/Delirium/ ) to provide public access to delirium prediction results in patients with advanced cancer. Furthermore, using feature importance analysis, sex was determined to be the top contributor in predicting delirium, followed by a history of delirium, chemotherapy, smoking status, alcohol consumption, and living with family. Based on a large-scale, multicenter, patient-based registry cohort, a machine learning prediction model for delirium in patients with advanced cancer was developed in South Korea. We believe that this model will assist healthcare providers in treating patients with delirium and advanced cancer.

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

Background and objective

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

Methods

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

Results

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

Conclusion

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

Incidence and risk factors of postoperative delirium following hepatic resection: a retrospective national inpatient sample database study

BACKGROUND

Postoperative delirium (POD) is a common complication after major surgery and can cause a variety of adverse effects. However, no large-scale national database was used to assess the occurrence and factors associated with postoperative delirium (POD) following hepatic resection.

METHODS

Patients who underwent hepatic resection from 2015 to 2019 were screened using the International Classification of Diseases (ICD) 10th edition clinical modification code from the National Inpatient Sample (NIS) Database. Peri-operative factors associated with delirium were screened and underwent statistical analysis to identify independent predictors for delirium following hepatic resection.

RESULTS

A total of 80,070 patients underwent hepatic resection over a five-year period from 2015 to 2019. The overall occurrence of POD after hepatic resection was 1.46% (1039 cases), with a slight upward trend every year. The incidence of elective admission was 6.66% lower (88.60% vs. 81.94%) than that of patients without POD after hepatic resection and 2.34% (45.53% vs. 43.19%) higher than that of patients without POD in teaching hospitals (P < 0.001). In addition, POD patients were 6 years older (67 vs. 61 years) and comprised 9.27% (56.69% vs. 47.42%) more male patients (P < 0.001) compared to the unaffected population. In addition, the occurrence of POD was associated with longer hospitalization duration (13 vs. 5 days; P < 0.001), higher total cost ($1,481,89 vs. $683,90; P < 0.001), and higher in-hospital mortality (12.61% vs. 4.11%; P < 0.001). Multivariate logistic regression identified hepatic resection-independent risk factors for POD, including non-elective hospital admission, teaching hospital, older age, male sex, depression, fluid and electrolyte disorders, coagulopathy, other neurological disorders, psychoses, and weight loss. In addition, the POD after hepatic resection has been associated with sepsis, dementia, urinary retention, gastrointestinal complications, acute renal failure, pneumonia, continuous invasive mechanical ventilation, blood transfusion, respiratory failure, and wound dehiscence / non-healing.

CONCLUSION

Although the occurrence of POD after hepatic resection is relatively low, it is beneficial to investigate factors predisposing to POD to allow optimal care management and improve the outcomes of this patient population.

A transient brain endothelial translatome response to endotoxin is associated with mild cognitive changes post-shock in young mice

Sepsis-associated encephalopathy (SAE) is a common manifestation in septic patients that is associated with increased risk of long-term cognitive impairment. SAE is driven, at least in part, by brain endothelial dysfunction in response to systemic cytokine signaling. However, the mechanisms driving SAE and its consequences remain largely unknown. Here, we performed translating ribosome affinity purification and RNA-sequencing (TRAP-seq) from the brain endothelium to determine the transcriptional changes after an acute endotoxemic (LPS) challenge. LPS induced a strong acute transcriptional response in the brain endothelium that partially correlates with the whole brain transcriptional response and suggested an endothelial-specific hypoxia response. Consistent with a crucial role for IL-6, loss of the main regulator of this pathway, SOCS3, leads to a broadening of the population of genes responsive to LPS, suggesting that an overactivation of the IL-6/JAK/STAT3 pathway leads to an increased transcriptional response that could explain our prior findings of severe brain injury in these mice. To identify any potential sequelae of this acute response, we performed brain TRAP-seq following a battery of behavioral tests in mice after apparent recovery. We found that the transcriptional response returns to baseline within days post-challenge. Despite the transient nature of the response, we observed that mice that recovered from the endotoxemic shock showed mild, sex-dependent cognitive impairment, suggesting that the acute brain injury led to sustained, non-transcriptional effects. A better understanding of the transcriptional and non-transcriptional changes in response to shock is needed in order to prevent and/or revert the devastating consequences of septic shock.

Abstract Figure

Effect of a fall within three months of admission on delirium in critically Ill elderly patients: a population-based cohort study

BACKGROUND

Delirium is common among elderly patients in the intensive care unit (ICU) and is associated with prolonged hospitalization, increased healthcare costs, and increased risk of death. Understanding the potential risk factors and early prevention of delirium is critical to facilitate timely intervention that may reverse or mitigate the harmful consequences of delirium.

AIM

To clarify the effects of pre-admission falls on ICU outcomes, primarily delirium, and secondarily pressure injuries and urinary tract infections.

METHODS

The study relied on data sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Statistical tests (Wilcoxon rank-sum or chi-squared) compared cohort characteristics. Logistic regression was employed to investigate the association between a history of falls and delirium, as well as secondary outcomes, while Kaplan-Meier survival curves were used to assess short-term survival in delirium and non-delirium patients.

RESULTS

Study encompassed 22,547 participants. Delirium incidence was 40%, significantly higher in patients with a history of falls (54.4% vs. 34.5%, p < 0.001). Logistic regression, controlling for confounders, not only confirmed that a history of falls elevates the odds of delirium (OR: 2.11; 95% CI: 1.97-2.26; p < 0.001) but also showed it increases the incidence of urinary tract infections (OR:1.50; 95% CI:1.40-1.62; p < 0.001) and pressure injuries (OR:1.36; 95% CI:1.26-1.47; p < 0.001). Elderly delirium patients exhibited lower 30-, 180-, and 360-day survival rates than non-delirium counterparts (all p < 0.001).

CONCLUSIONS

The study reveals that history of falls significantly heighten the risk of delirium and other adverse outcomes in elderly ICU patients, leading to decreased short-term survival rates. This emphasizes the critical need for early interventions and could inform future strategies to manage and prevent these conditions in ICU settings.

The Role of Delirium on Short- and Long-Term Postoperative Outcomes Following Major Gastrointestinal Surgery for Cancer

INTRODUCTION

The growing burden of an aging population has raised concerns about demands on healthcare systems and resources, particularly in the context of surgical and cancer care. Delirium can affect treatment outcomes and patient recovery. We sought to determine the prevalence of postoperative delirium among patients undergoing digestive tract surgery for malignant indications and to analyze the role of delirium on surgical outcomes.

METHODS

Medicare claims data were queried to identify patients diagnosed with esophageal, gastric, hepatobiliary, pancreatic, and colorectal cancers between 2018 and 2021. Postoperative delirium, occurring within 30 days of operation, was identified via International Classification of Diseases, 10th edition codes. Clinical outcomes of interested included "ideal" textbook outcome (TO), characterized as the absence of complications, an extended hospital stay, readmission within 90 days, or mortality within 90 days. Discharge disposition, intensive care unit (ICU) utilization, and expenditures also were examined.

RESULTS

Among 115,654 cancer patients (esophageal: n = 1854, 1.6%; gastric: n = 4690, 4.1%; hepatobiliary: n = 6873, 5.9%; pancreatic: n = 8912, 7.7%; colorectal: n = 93,325, 90.7%), 2831 (2.4%) were diagnosed with delirium within 30 days after surgery. On multivariable analysis, patients with delirium were less likely to achieve TO (OR 0.27 [95% CI 0.25-0.30]). In particular, patients who experienced delirium had higher odds of complications (OR 3.00 [2.76-3.25]), prolonged length of stay (OR 3.46 [3.18-3.76]), 90-day readmission (OR 1.96 [1.81-2.12]), and 90-day mortality (OR 2.78 [2.51-3.08]). Furthermore, patients with delirium had higher ICU utilization (OR 2.85 [2.62-3.11]). Upon discharge, patients with delirium had a decreased likelihood of being sent home (OR 0.40 [0.36-0.46]) and instead were more likely to be transferred to a skilled nursing facility (OR 2.17 [1.94-2.44]). Due to increased utilization of hospital resources, patients with delirium incurred in-hospital expenditures that were 55.4% higher (no delirium: $16,284 vs. delirium: $28,742) and 90-day expenditures that were 100.7% higher (no delirium: $2564 vs. delirium: $8226) (both p < 0.001). Notably, 3-year postoperative survival was adversely affected by delirium (no delirium: 55.5% vs. delirium: 37.3%), even after adjusting risk for confounding factors (HR 1.79 [1.70-1.90]; p < 0.001).

CONCLUSIONS

Postoperative delirium occurred in one in 50 patients undergoing surgical resection of a digestive tract cancer. Delirium was linked to a reduced likelihood of achieving an optimal postoperative outcome, increased ICU utilization, higher expenditures, and a worse long-term prognosis. Initiatives to prevent delirium are vital to improve postoperative outcomes among cancer surgery patients.

Burden of delirium on mortality and healthcare resource utilization in geriatric patients hospitalized for inflammatory bowel disease

Background

Delirium is prevalent in elderly patients, linked to elevated mortality rates, heightened healthcare resource use, and caregiver burden. Inflammatory bowel disease (IBD) poses various delirium risk factors, yet the impact on geriatric IBD patient outcomes remains unexplored.

Methods

Using 2016-2019 National Inpatient Sample data, we identified ≥65-year-old patients admitted for IBD (Crohn's, ulcerative colitis) management stratified by delirium presence as a secondary diagnosis. The study aimed to assess delirium's impact on geriatric IBD patient outcomes.

Results

Among 67,534 elderly IBD admissions, 0.7% (470) developed delirium. The delirium group had a 4.8-fold increase in in-hospital mortality risk (odds ratio 4.80, P < 0.001, 95% confidence interval [CI] 1.94-11.8). IBD patients with delirium experienced prolonged length of stay (adjusted mean difference 5.15 days, 95% CI 3.24-7.06, P < 0.001) and increased care costs (adjusted mean difference $48,328, 95% CI $26,485-$70,171, P < 0.001) compared to those without delirium.

Conclusion

Elderly IBD patients with delirium face higher mortality risk, prolonged hospitalization, and increased healthcare costs. Clinicians should recognize delirium's detrimental effects in this vulnerable group and adhere to preventive protocols for improved care.

Sleep and circadian biomarkers of postoperative delirium (SLEEP-POD): protocol for a prospective and observational cohort study

INTRODUCTION

Surgical patients over 70 experience postoperative delirium (POD) complications in up to 50% of procedures. Sleep/circadian disruption has emerged as a potential risk factor for POD in epidemiological studies. This protocol presents a single-site, prospective observational study designed to examine the relationship between sleep/circadian regulation and POD and how this association could be moderated or mediated by Alzheimer's disease (AD) pathology and genetic risk for AD.

METHODS AND ANALYSIS

Study staff members will screen for eligible patients (age ≥70) seeking joint replacement or spinal surgery at Massachusetts General Hospital (MGH). At the inclusion visit, patients will be asked a series of questionnaires related to sleep and cognition, conduct a four-lead ECG recording and be fitted for an actigraphy watch to wear for 7 days before surgery. Blood samples will be collected preoperatively and postoperatively and will be used to gather information about AD variant genes (APOE-ε4) and AD-related pathology (total and phosphorylated tau). Confusion Assessment Method-Scale and Montreal Cognitive Assessment will be completed twice daily for 3 days after surgery. Seven-day actigraphy assessments and Patient-Reported Outcomes Measurement Information System questionnaires will be performed 1, 3 and 12 months after surgery. Relevant patient clinical data will be monitored and recorded throughout the study.

ETHICS AND DISSEMINATION

This study is approved by the IRB at MGH, Boston, and it is registered with the US National Institutes of Health on ClinicalTrials.gov (NCT06052397). Plans for dissemination include conference presentations at a variety of scientific institutions. Results from this study are intended to be published in peer-reviewed journals. Relevant updates will be made available on ClinicalTrials.gov.

TRIAL REGISTRATION NUMBER

NCT06052397.

Mitochondrial dysfunction precedes hippocampal IL-1β transcription and cognitive impairments after low-dose lipopolysaccharide injection in aged mice

Acute cognitive impairments termed delirium often occur after inflammatory insults in elderly patients. While previous preclinical studies suggest mitochondria as a target for reducing neuroinflammation and cognitive impairments after LPS injection, fewer studies have evaluated the effects of a low-grade systemic inflammation in the aged brain. Thus, to identify the significance of mitochondrial dysfunction after a clinically relevant systemic inflammatory stimulus, we injected old-aged mice (18-20 months) with low-dose lipopolysaccharide (LPS, 0.04 mg/kg). LPS injection reduced mitochondrial respiration in the hippocampus 24 h after injection (respiratory control ratio [RCR], state3u/state4o; control = 2.82 ± 0.19, LPS = 2.57 ± 0.08). However, gene expression of the pro-inflammatory cytokine IL-1β was increased (RT-PCR, control = 1.00 ± 0.30; LPS = 2.01 ± 0.67) at a more delayed time point, 48 h after LPS injection. Such changes were associated with cognitive impairments in the Barnes maze and fear chamber tests. Notably, young mice were unaffected by low-dose LPS, suggesting that mitochondrial dysfunction precedes neuroinflammation and cognitive decline in elderly patients following a low-grade systemic insult. Our findings highlight mitochondria as a potential therapeutic target for reducing delirium in elderly patients.

Assessment of level of knowledge, attitude, and associated factors toward delirium among health professionals working in intensive care unit multicenter, cross-sectional study, Amhara region comprehensive specialized hospitals, Northwest Ethiopia, 2023

Background

Patients in Intensive Care Unit (ICU) are at high risk of developing delirium. Lack of early detection and the inability to provide prompt management of delirium remain challenges of ICU patient care. This study aimed to assess the level of knowledge, attitude, and associated factors toward delirium among healthcare providers working in ICU.

Methods

A multicenter, cross-sectional survey was conducted in comprehensive specialized hospitals from 15 April to 5 June 2023. Data were collected using a pretested, self-administered questionnaire. Ordinal logistic regression analysis was performed at p < 0.05 with a 95% confidence interval (CI). The odds ratio with 95% CI was calculated to determine the strength of the association between independent and outcome variables.

Results

A total of 202 health professionals were included in this study, with a response rate of 87%. The proportions of good, moderate, and poor knowledge about delirium in ICU were 29.21 (95% CI: 23-36), 52.48 (95% CI: 45.3-59.5) and 18.32 (95% CI:13.2-24.4), respectively. The overall proportion of negative, neutral and positive attitude were 13.9 (95% CI: 9.4-19.4), 65.8 (95% CI: 58.9-72.4) and 20.3 (95% CI: 15-26.5) respectively. Being an anesthetist and exposure to training were positively associated with a good knowledge while belief in screening tool to change care and reading, and using guidelines were positively associated with a positive attitude. However, believing the impossibility of changing the practice of delirium care, and negative attitudes were delaying factors for a good knowledge. Also, workload and poor knowledge were hindering factors for a positive attitude.

Conclusion

More than half of health professionals had moderate knowledge and neutral attitude toward delirium. However, some of them had poor knowledge and a negative attitude. We recommend stakeholders prepare regular training for delirium care. Also, we urge health professionals to update themselves by reading guidelines and to use screening protocols for delirium.

Role of Intraoperative Neuromonitoring to Predict Postoperative Delirium in Cardiovascular Surgery

OBJECTIVE

Postoperative delirium (POD) can occur in up to 50% of older patients undergoing cardiovascular surgery, resulting in hospitalization and significant morbidity and mortality. This study aimed to determine whether intraoperative neurophysiologic monitoring (IONM) modalities can be used to predict delirium in patients undergoing cardiovascular surgery.

DESIGN

Adult patients undergoing cardiovascular surgery with IONM between 2019 and 2021 were reviewed retrospectively. Delirium was assessed multiple times using the Intensive Care Delirium Screening Checklist (ICDSC). Patients with an ICDSC score ≥4 were considered to have POD. Significant IONM changes were evaluated based on a visual review of electroencephalography (EEG) and somatosensory evoked potentials data and documentation of significant changes during surgery.

SETTING

University of Pittsburgh Medical Center hospitals.

PARTICIPANTS

Patients 18 years old and older undergoing cardiovascular surgery with IONM monitoring.

MEASUREMENTS AND MAIN RESULTS

Of the 578 patients undergoing cardiovascular surgery with IONM, 126 had POD (21.8%). Significant IONM changes were noted in 134 patients, of whom 49 patients had delirium (36.6%). In contrast, 444 patients had no IONM changes during surgery, of whom 77 (17.3%) patients had POD. Upon multivariate analysis, IONM changes were associated with POD (odds ratio 2.12; 95% CI 1.31-3.44; p < 0.001). Additionally, baseline EEG abnormalities were associated with POD (p = 0.002).

CONCLUSION

Significant IONM changes are associated with an increased risk of POD in patients undergoing cardiovascular surgery. These findings offer a basis for future research and analysis of EEG and somatosensory evoked potential monitoring to predict, detect, and prevent POD.

Delirium pathophysiology in cancer: neurofilament light chain biomarker - narrative review

Background Delirium is a debilitating disorder with high prevalence near the end of life, impacting quality of life of patients and their relatives. Timely recognition of delirium can lead to prevention and/or better treatment of delirium. According to current hypotheses delirium is thought to result from aberrant inflammation and neurotransmission, with a possible role for neuronal damage. Neurofilament light chain (NfL) is a protein biomarker in body fluids that is unique to neurons, with elevated levels when neurons are damaged, making NfL a viable biomarker for early detection of delirium. This narrative review summarises current research regarding the pathophysiology of delirium and the potential of NfL as a susceptibility biomarker for delirium and places this in the context of care for patients with advanced cancer.Results Six studies were conducted exclusively on NfL in patients with delirium. Three of these studies demonstrated that high plasma NfL levels preoperatively predict delirium in older adult patients postoperatively. Two studies demonstrated that high levels of NfL in intensive care unit (ICU) patients are correlated with delirium duration and severity. One study found that incident delirium in older adult patients was associated with increased median NfL levels during hospitalisation.Conclusions Targeted studies are required to understand if NfL is a susceptibility biomarker for delirium in patients with advanced cancer. In this palliative care context, better accessible matrices, such as saliva or urine, would be helpful for repetitive testing. Improvement of biological measures for delirium can lead to improved early recognition and lay the groundwork for novel therapeutic strategies.

Associations Between Hyperactive Neuropsychiatric Symptoms and Brain Morphology in Mild Cognitive Impairment and Alzheimer's Disease

BACKGROUND

Hyperactive neuropsychiatric symptoms (NPS) (i.e., agitation, disinhibition, and irritability) are among the most challenging symptoms to manage in Alzheimer's disease (AD). However, their underlying brain correlates have been poorly studied.

OBJECTIVE

We aimed to investigate the associations between the total score of hyperactive NPS and brain structures in participants with AD, mild cognitive impairment (MCI), and cognitively normal older adults (CN).

METHODS

Neuropsychiatric and 3T MRI data from 216 AD, 564 MCI, and 660 CN participants were extracted from the Alzheimer's Disease Neuroimaging Initiative database. To define NPS and brain structures' associations, we fitted a general linear model (GLM) in two ways: 1) an overall GLM including all three groups (AD, MCI, CN) and 2) three pair-wise GLMs (AD versus MCI, MCI versus CN, AD versus CN). The cortical changes as a function of NPS total score were investigated using multiple regression analyses.

RESULTS

Results from the overall GLM include associations between 1) agitation and the right parietal supramarginal surface area in the MCI-CN contrast, 2) disinhibition and the cortical thickness of the right frontal pars opercularis and temporal inferior in the AD-MCI contrast, and 3) irritability and the right frontal pars opercularis, frontal superior, and temporal superior volumes in the MCI-CN contrast.

CONCLUSIONS

Our study shows that each hyperactive NPS is associated with distinct brain regions in AD, MCI, and CN (groups with different levels of cognitive performance). This suggests that each NPS is associated with a unique signature of brain morphology, including variations in volume, thickness, or area.

Analysis of Changes in Sleep Quality and Patterns after Hip Fracture Using Real Evidence of Artificial Intelligence Linked (REAL) Hip Cohort Data

Background and Objectives: Hip fractures are commonly found in elderly patients, and often result in chronic pain and decreased physical function, as well as worsening of overall health. It is known that early surgical intervention during the acute phase and rehabilitation are important for improving clinical outcomes for these patients. However, the importance of management for improving the quality of life of these patients is becoming more emphasized. Studies on changes in sleep patterns after hip fractures are rare overseas. Therefore, the aim of this study is to investigate the prevalence of sleep disturbance in patients with hip fractures and to analyze the changes in sleep disturbance after surgery by comparing the preoperative and postoperative results. Materials and Methods: During the period from August 2022 to January 2023, patients who underwent surgical treatment for hip fractures and were recruited into the REAL Hip Cohort were selected as research subjects. The sleep survey was conducted using the Pittsburgh Sleep Quality Index (PSQI). The PSQI is composed of 18 questions, each divided into areas of sleep quality, sleep latency, duration, efficiency, disturbance, use of medication, and daytime dysfunction. Each area is scored 0-3 points and the total is 0-21. A score greater than five indicates sleep disorder. The PSQI was surveyed during hospitalization and three months after surgery for post-fracture sleep status. To analyze changes before and after the fracture, paired T-tests and chi-square tests were performed. Results: From August 2022 to January 2023, a total of 40 patients who were recruited into the REAL Hip Cohort responded to the PSQI survey. The average age was 77.4 years and 36 were female. Sleep quality worsened from 0.75 ± 1.0 before surgery to 1.4 ± 1.0 three months after surgery (p = 0.019), and sleep efficiency also worsened from 0.4 ± 0.6 to 1.4 ± 1.0 (p < 0.001). The PSQI increased from an average of 5.2 ± 2.8 before surgery to 8.2 ± 4.2 three months after surgery (p = 0.007), and the number of patients who could be diagnosed with sleep disorders also increased from 12 (40%) to 24 (60%) (p = 0.030). Conclusions: A decline in overall sleep status was observed in patients in a survey on sleep patterns three months after hip fracture. Additional management is needed to improve their sleep patterns.

Clinical Prediction Models for Hospital-Induced Delirium Using Structured and Unstructured Electronic Health Record Data: Protocol for a Development and Validation Study

BACKGROUND

Hospital-induced delirium is one of the most common and costly iatrogenic conditions, and its incidence is predicted to increase as the population of the United States ages. An academic and clinical interdisciplinary systems approach is needed to reduce the frequency and impact of hospital-induced delirium.

OBJECTIVE

The long-term goal of our research is to enhance the safety of hospitalized older adults by reducing iatrogenic conditions through an effective learning health system. In this study, we will develop models for predicting hospital-induced delirium. In order to accomplish this objective, we will create a computable phenotype for our outcome (hospital-induced delirium), design an expert-based traditional logistic regression model, leverage machine learning techniques to generate a model using structured data, and use machine learning and natural language processing to produce an integrated model with components from both structured data and text data.

METHODS

This study will explore text-based data, such as nursing notes, to improve the predictive capability of prognostic models for hospital-induced delirium. By using supervised and unsupervised text mining in addition to structured data, we will examine multiple types of information in electronic health record data to predict medical-surgical patient risk of developing delirium. Development and validation will be compliant to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) statement.

RESULTS

Work on this project will take place through March 2024. For this study, we will use data from approximately 332,230 encounters that occurred between January 2012 to May 2021. Findings from this project will be disseminated at scientific conferences and in peer-reviewed journals.

CONCLUSIONS

Success in this study will yield a durable, high-performing research-data infrastructure that will process, extract, and analyze clinical text data in near real time. This model has the potential to be integrated into the electronic health record and provide point-of-care decision support to prevent harm and improve quality of care.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/48521.

Adverse Drug Event Prevention and Detection in Older Emergency Department Patients

Older adults are given therapies to enhance the quality and longevity of life, but with the benefits of medication therapy also comes the potential for adverse drug events (ADEs). Avoiding ADEs has become a national health priority with substantial impact on health outcomes and health care costs. The presence of multimorbidity, changes in physiologic function, and polypharmacy make older adults more vulnerable to medication-related ADEs. Use of interactive support tools in the form of geriatric-friendly medication order sets and geriatric consultations along with pharmacist-led medication review and optimization are imperative to decrease the occurrence of ADEs and unnecessary prescribing cascades.

The effects of environmental interventions for delirium in critically ill surgical patients

BACKGROUND

Delirium occurs at high rates among patients in intensive care units and increases the risk of morbidity and mortality. The purpose of this study was to investigate the effects of environmental interventions on delirium.

METHODS

This prospective cohort study enrolled 192 patients admitted to the surgical intensive care unit (SICU) during the pre-intervention (June 2013 to October 2013) and post-intervention (June 2014 to October 2014) periods. Environmental interventions involved a cognitive assessment, an orientation, and a comfortable environment including proper sleep conditions. The primary outcomes were the prevalence, duration, and onset of delirium.

RESULTS

There were no statistically significant differences in incidence rate, time of delirium onset, general characteristics, and mortality between the pre-intervention and post-intervention groups. The durations of delirium were 14.4±19.1 and 7.7±7.3 days in the pre-intervention and post-intervention groups, respectively, a significant reduction (P=0.027). The lengths of SICU stay were 20.0±22.9 and 12.6±8.7 days for the pre-intervention and post-intervention groups, respectively, also a significant reduction (P=0.030).

CONCLUSIONS

The implementation of an environmental intervention program reduced the duration of delirium and length of stay in the SICU for critically ill surgical patients.

Impact of a passive clinical decision support tool on potentially inappropriate medications (PIM) use in older adult patients

BACKGROUND

Medication related clinical decision support (CDS) interventions may improve patient safety. In older patient populations, there has been effort placed in reducing exposure to potentially inappropriate medications (PIMs). After years of reducing exposure of older adults in our hospitals to PIMs through multi-component interventions, our system chose to expand the scope and attempt a new strategy to lessen alert burden for providers and pharmacists. Based on the American Geriatric Society Beers Criteria and internal data, a passive CDS approach, termed "geriatric context" was established to recommend appropriate medication selection including lower dosage amounts and frequency of administration in older adults.

METHODS

Retrospective descriptive study examining change in a pre and post implementation analysis of medication usage patterns between two 9-month time periods in 2019 and 2021 in patients age ≥65 years across an 8-hospital health system. The primary endpoint is the percentage of each medication intervened with an ordered dose and frequency outside of alignment with recommended context parameters. Secondary endpoints include total daily dose (TDD) and average dose (AD) per patient of the individual PIMs. Exploratory endpoints include frequency of active alerts fired by the CPOE and overridden by providers.

RESULTS

A total of 62,738 older adult hospital admissions are included in the overall study period, with 32,969 pre-implementation and 29,769 post-implementation. Haloperidol showed the greatest reduction in inappropriate doses from 41.5% to 21.4% (p < 0.001) of orders, followed by reduction in inappropriate frequencies in orders for diphenhydramine from 57.2% to 39.7% (p < 0.001). Secondary endpoints showed favorable reductions across 11 of the 16 medications in both TDD and AD administered. Exploratory analysis with select medications showed reductions in frequency of alerts fired and overridden.

CONCLUSIONS

Utilization of a passive CDS positively influences prescribing patterns for older adults and reduces the alert burden to ordering providers.

Predicting delirium in older non-intensive care unit inpatients: development and validation of the DELIrium risK Tool (DELIKT)

BACKGROUND

Effective delirium prevention could benefit from automatic risk stratification of older inpatients using routinely collected clinical data.

AIM

Primary aim was to develop and validate a delirium prediction model (DELIKT) suitable for implementation in hospitals. Secondary aim was to select an anticholinergic burden scale as a predictor.

METHOD

We used one cohort for model development and another for validation with electronically available data collected within the first 24 h of admission. Included were patients aged ≥ 65, hospitalised ≥ 48 h with no stay > 24 h in an intensive care unit. Predictors, such as administrative and laboratory variables or an anticholinergic burden scale, were selected using a combination of feature selection filter method and forward/backward selection. The final model was based on logistic regression and the DELIKT was derived from the β-coefficients. We report the following performance measures: area under the curve, sensitivity, specificity and odds ratio.

RESULTS

Both cohorts were similar and included over 10,000 patients each (mean age 77.6 ± 7.6 years) with 11% experiencing delirium. The model included nine variables: age, medical department, dementia, hemi-/paraplegia, catheterisation, potassium, creatinine, polypharmacy and the anticholinergic burden measured with the Clinician-rated Anticholinergic Scale (CrAS). The external validation yielded an AUC of 0.795. With a cut-off at 20 points in the DELIKT, we received a sensitivity of 79.7%, specificity of 62.3% and an odds ratio of 5.9 (95% CI 5.2, 6.7).

CONCLUSION

The DELIKT is a potentially automatic tool with predictors from standard care including the CrAS to identify patients at high risk for delirium.

Patient-specific cognitive profiles in the detection of dementia subtypes: A proposal

Many physicians rely on sum score cognitive screening tests to evaluate patients for cognitive decline. Because the vast majority of cognitively impaired patients never receive more extensive testing, the results of these screening tests impact patients and their family members profoundly. No previous study has examined whether the metrics used by the popular Mini-Mental State Examination, Montreal Cognitive Assessment, and Saint Louis University Mental Status tests reliably identify single-domain deficits or allow clinicians to adequately track disease progression. We compare side by side the metrics used by these three tests to highlight the differences in the ways they measure domain impairments. We then contrast the sum score approach to cognitive screening with brief domain-specific tests that use extended metrics in each domain examined. Last, we suggest that moderate-to-severe domain-specific deficits on these tests should lead physicians to anticipate specific functional problems and alert family members.

Towards a potent and rapidly reversible Dexmedetomidine-based general anesthetic

IN CONCLUSION

Our results suggest that Dex supplemented with a low dose of a second agent creates a potent anesthetic that is rapidly reversed by atipamezole and caffeine.

Bispectral EEG (BSEEG) Algorithm Captures High Mortality Risk Among 1,077 Patients: Its Relationship to Delirium Motor Subtype

OBJECTIVE

Delirium is dangerous and a predictor of poor patient outcomes. We have previously reported the utility of the bispectral EEG (BSEEG) with a novel algorithm for the detection of delirium and prediction of patient outcomes including mortality. The present study employed a normalized BSEEG (nBSEEG) score to integrate the previous cohorts to combine their data to investigate the prediction of patient outcomes. We also aimed to test if the BSEEG method can be applicable regardless of age, and independent of delirium motor subtypes.

METHODS

We calculated nBSEEG score from raw BSEEG data in each cohort and classified patients into BSEEG-positive and BSEEG-negative groups. We used log-rank test and Cox proportional hazards models to predict 90-day and 1-year outcomes for the BSEEG-positive and -negative groups in all subjects and motor subgroups.

RESULTS

A total of 1,077 subjects, the BSEEG-positive group showed significantly higher 90-day (hazard ratio 1.33 [95% CI 1.16-1.52] and 1-year (hazard ratio 1.22 [95% CI 1.06-1.40] mortality rates than the negative group after adjustment for covariates such as age, sex, CCI, and delirium status. Among patients with different motor subtypes of delirium, the hypoactive group showed significantly higher 90-day (hazard ratio 1.41 [95% CI 1.12-1.76] and 1-year mortality rates (hazard ratio 1.32 [95% CI 1.05-1.67], which remained significant after adjustment for the same covariates.

CONCLUSION

We found that the BSEEG method is capable of capturing patients at high mortality risk.

ICU Delirium in Cardiac Patients

Delirium is a prevalent complication in critically ill medical and surgical cardiac patients. It is associated with increased morbidity and mortality, prolonged hospitalizations, cognitive impairments, functional decline, and hospital costs. The incidence of delirium in cardiac patients varies based on the criteria used for the diagnosis, the population studied, and the type of surgery (cardiac or not cardiac). Delirium experienced when cardiac patients are in the intensive care unit (ICU) is likely preventable in most cases. While there are many protocols for recognizing and managing ICU delirium in medical and surgical cardiac patients, there is no homogeneity, nor are there established clinical guidelines. This review provides a comprehensive overview of delirium in cardiac patients and highlights its presentation, course, risk factors, pathophysiology, and management. We define cardiac ICU patients as both medical and postoperative surgical patients with cardiac disease in the ICU. We also highlight current controversies and future considerations of innovative therapies and nonpharmacological and pharmacological management interventions. Clinicians caring for critically ill patients with cardiac disease must understand the complex syndrome of ICU delirium and recognize the impact of delirium in predicting long-term outcomes for ICU patients.

Myeloid cell activation during Zika virus encephalitis predicts recovery of functional cortical connectivity

Neurologic complications of Zika virus (ZIKV) infection across the lifespan have been described during outbreaks in Southeast Asia, South America, and Central America since 2016. In the adult CNS ZIKV tropism for neurons is tightly linked to its effects, with neuronal loss within the hippocampus during acute infection and protracted synapse loss during recovery, which is associated with cognitive deficits. The effects of ZIKV on cortical networks have not been evaluated. Although animal behavior assays have been used previously to model cognitive impairment, in vivo brain imaging can provide orthogonal information regarding the health of brain networks in real time, providing a tool to translate findings in animal models to humans. In this study, we use widefield optical imaging to measure cortical functional connectivity (FC) in mice during acute infection with, and recovery from, intracranial infection with a mouse-adapted strain of ZIKV. Acute ZIKV infection leads to high levels of myeloid cell activation, with loss of neurons and presynaptic termini in the cerebral cortex and associated loss of FC primarily within the somatosensory cortex. During recovery, neuron numbers, synapses and FC recover to levels near those of healthy mice. However, hippocampal injury and impaired spatial cognition persist. The magnitude of activated myeloid cells during acute infection predicted both recovery of synapses and the degree of FC recovery after recovery from ZIKV infection. These findings suggest that a robust inflammatory response may contribute to the health of functional brain networks after recovery from infection.

A Geriatric Approach to Percutaneous Coronary Interventions in Older Adults, Part II: A JACC: Advances Expert Panel

We review a comprehensive risk assessment approach for percutaneous coronary interventions in older adults and highlight the relevance of geriatric syndromes within that broader perspective to optimize patient-centered outcomes in interventional cardiology practice. Reflecting the influence of geriatric principles in older adults undergoing percutaneous coronary interventions, we propose a "geriatric" heart team to incorporate the expertise of geriatric specialists in addition to the traditional heart team members, facilitate uptake of the geriatric risk assessment into the preprocedural risk assessment, and address ways to mitigate these geriatric risks. We also address goals of care in older adults, highlighting common priorities that can impact shared decision making among older patients, as well as frequently encountered pharmacotherapeutic considerations in the older adult population. Finally, we clarify gaps in current knowledge and describe crucial areas for future investigation.

Data-driven categorization of postoperative delirium symptoms using unsupervised machine learning

Background

Phenotyping analysis that includes time course is useful for understanding the mechanisms and clinical management of postoperative delirium. However, postoperative delirium has not been fully phenotyped. Hypothesis-free categorization of heterogeneous symptoms may be useful for understanding the mechanisms underlying delirium, although evidence is currently lacking. Therefore, we aimed to explore the phenotypes of postoperative delirium following invasive cancer surgery using a data-driven approach with minimal prior knowledge.

Methods

We recruited patients who underwent elective invasive cancer resection. After surgery, participants completed 5 consecutive days of delirium assessments using the Delirium Rating Scale-Revised-98 (DRS-R-98) severity scale. We categorized 65 (13 questionnaire items/day × 5 days) dimensional DRS-R-98 scores using unsupervised machine learning (K-means clustering) to derive a small set of grouped features representing distinct symptoms across all participants. We then reapplied K-means clustering to this set of grouped features to delineate multiple clusters of delirium symptoms.

Results

Participants were 286 patients, of whom 91 developed delirium defined according to Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, criteria. Following the first K-means clustering, we derived four grouped symptom features: (1) mixed motor, (2) cognitive and higher-order thinking domain with perceptual disturbance and thought content abnormalities, (3) acute and temporal response, and (4) sleep-wake cycle disturbance. Subsequent K-means clustering permitted classification of participants into seven subgroups: (i) cognitive and higher-order thinking domain dominant delirium, (ii) prolonged delirium, (iii) acute and brief delirium, (iv) subsyndromal delirium-enriched, (v) subsyndromal delirium-enriched with insomnia, (vi) insomnia, and (vii) fit.

Conclusion

We found that patients who have undergone invasive cancer resection can be delineated using unsupervised machine learning into three delirium clusters, two subsyndromal delirium clusters, and an insomnia cluster. Validation of clusters and research into the pathophysiology underlying each cluster will help to elucidate the mechanisms of postoperative delirium after invasive cancer surgery.

Delirium, confusion, or altered mental status as a risk for abnormal head computed tomogram findings in older adults in the emergency department: A Geriatric Emergency Department Guidelines 2.0 systematic review and meta-analysis

BACKGROUND

Altered mental status (including delirium) is a common presentations among older adults to the emergency department (ED). We aimed to report the association between altered mental status in older ED patients and acute abnormal findings on head computed tomogram (CT).

METHODS

A systematic review was conducted using Ovid Medline, Embase, Clinicaltrials.gov, Web of Science, and Cochrane Central from conception to April 8th, 2021. We included citations if they described patients aged 65 years or older who received head imaging at the time of ED assessment, and reported whether patients had delirium, confusion, or altered mental status. Screening, data extraction, and bias assessment were performed in duplicate. We estimated the odds ratios (OR) for abnormal neuroimaging in patients with altered mental status.

RESULTS

The search strategy identified 3031 unique citations, of which two studies reporting on 909 patients with delirium, confusion or altered mental status were included. No identified study formally assessed for delirium. The OR for abnormal head CT findings in patients with delirium, confusion or altered mental status was 0.35 (95% CI 0.031 to 3.97) compared to patients without delirium, confusion or altered mental status.

CONCLUSION

We did not find a statistically significant association between delirium, confusion or altered mental status and abnormal head CT findings in older ED patients.

Regional versus general anesthesia in older patients for hip fracture surgery: a systematic review and meta-analysis of randomized controlled trials

BACKGROUND

The optimal anesthesia technique for older patients undergoing hip fracture surgery remains controversial. We performed a systematic review and meta-analysis of updated randomized controlled trials (RCTs) to assess whether regional anesthesia was superior to general anesthesia in hip fracture surgery.

METHODS

We searched PubMed, EMBASE, Web of Science, and the Cochrane Central Register of Controlled Trials from January 2000 until April 2022. RCTs directly comparing regional and general anesthesia in hip fracture surgery were included in the analysis. The incidence of delirium and mortality were the primary outcomes and other perioperative outcomes including complications were secondary outcomes.

RESULTS

Thirteen studies involving 3736 patients were included in this study. There was no significant difference in the incidence of delirium (odds ratio [OR] 1.09; 95% confidence interval [CI] 0.86, 1.37) and mortality (OR 1.08; 95% CI 0.71, 1.64) between the two groups. Patients receiving regional anesthesia in hip fracture surgery were associated with a reduction in operative time (weighted mean difference [WMD]: - 4.74; 95% CI - 8.85, - 0.63), intraoperative blood loss (WMD: - 0.25; 95% CI - 0.37, - 0.12), postoperative pain score (WMD: - 1.77; 95% CI - 2.79, - 0.74), length of stay (WMD: - 0.10; 95% CI - 0.18, - 0.02), and risk of acute kidney injury (AKI) (OR 0.56; 95% CI 0.36, 0.87). No significant difference was observed in the other perioperative outcomes.

CONCLUSIONS

For older patients undergoing hip fracture surgery, RA did not significantly reduce the incidence of postoperative delirium and mortality compared to GA. Due to the limitations of this study, the evidence on delirium and mortality was still inconclusive and further high-quality studies are needed.

Delirium in Medically Hospitalized Patients: Prevalence, Recognition and Risk Factors: A Prospective Cohort Study

BACKGROUND

Delirium is a common neuropsychiatric syndrome in hospitalized elderly patients and is associated with poor clinical outcomes. We aimed to determine the prevalence, recognition, risk factors, and course of delirium among hospitalized elderly (65 years of age or older) patients at Sultan Qaboos University Hospital (SQUH).

METHODS

A prospective cohort study included 327 elderly patients (65 years of age or older) admitted to the medical wards at SQUH. Patients were screened for delirium using the 3-Minute Diagnostic Confusion Assessment Method (3D-CAM). Additionally, medical records were reviewed to identify possible associated factors.

RESULTS

The prevalence of delirium was 55.4% (95% CI 49.9-60.7), and 35.4% of patients with delirium were not recognized by the treating team. Hypoactive delirium is the most common type of delirium. The logistic regression analyzes demonstrated that pre-existing cognitive impairment (OR = 4.0); poor functional status (OR = 1.9); the use of medications that are known to precipitate delirium (OR = 2.3); polypharmacy (OR = 5.7); urinary catheterization (OR = 2.2); dehydration (OR = 3.1); and electrolytes derangements (OR = 2.0) were independent risk factors for delirium. Furthermore, 56.9% of patients with delirium continued to have delirium upon discharge from the hospital.

CONCLUSIONS

Delirium is common among elderly patients hospitalized in general medical wards. Implementing effective preventive strategies for delirium during the hospital stay, including early recognition using standard sensitive and specific screening tools (i.e., 3D-CAM) and developing geriatric wards, is crucial.

Persistent Postoperative Delirium Following Laparoscopic Cholecystectomy

Gallstones are the primary cause of symptomatic gallbladder disease and lead to a significant portion of hospitalizations related to gastrointestinal diseases. The gold standard treatment for gallbladder disease continues to be cholecystectomy, which is commonly done laparoscopically, and improves patients' quality of life. With any surgical intervention there are inherent risks, and in the setting of severe illness, the risk of potential complications increases immensely. Postoperative altered mental status, namely, delirium, may occur in the elderly and a high index of suspicion is required to recognize the clinical signs for swift diagnosis and management. This case involves a 61-year-old male who underwent laparoscopic cholecystectomy and developed persistent delirium during the hospital course. This report aims to explore the multiple risk factors that lead to postoperative delirium and review the diagnostic and therapeutic strategies utilized in managing this patient.

Incidence Rate and Factors Associated with Delirium and Subsyndromal Delirium in Patients with COVID-19 in an Intensive Care Unit

BACKGROUND

Delirium subsyndrome (SSD) and delirium (DL) are known complications in the intensive care unit (ICU) and are associated with worse clinical outcomes. The aim of this study was to screen for SSD and DL in individuals with COVID-19 admitted to the ICU and to study the associated factors and clinical outcomes.

METHOD

An observational, longitudinal study was conducted in the reference ICU for COVID-19. All admitted individuals with COVID-19 were screened for SSD and DL during their ICU stay using the Intensive Care Delirium Screening Checklist (ICDSC). Individuals with SSD and/or DL were compared to those without SSD and/or DL.

RESULTS

Ninety-three patients were evaluated, of which 46.7% had SSD and/or DL. The incidence rate was 4.17 cases/100 person-days. Individuals with SSD and/or DL had higher severity of illness on admission to the ICU, as measured by the APACHE II score (median 16 versus 8 points, p < 0.001). SSD and/or DL were associated with longer ICU and hospital stays (median 19 versus 6 days, p < 0.001 and median 22 versus 7 days, p < 0.001, respectively).

CONCLUSION

Individuals with SSD and/or DL had greater disease severity and longer ICU and hospital stays when compared to those without SSD and/or DL. This reinforces the importance of screening for consciousness disorders in the ICU.

Incidence of postoperative delirium in older adults undergoing surgical procedures: A systematic literature review and meta-analysis

BACKGROUND

With the increase in life expectancy around the globe, the incidence of postoperative delirium (POD) among older people (≥65 years) is growing. Previous studies showed a wide variation in the incidence of POD, from 4% to 53%, with a lack of specific evidence about the incidence of POD by specific surgery type among older people. The aim of this systematic review and meta-analysis was to determine the incidence of POD by surgery type within populations 65 years and over.

METHODS

Databases including PubMed, Cochrane library, Embase, and CINAHL were searched until October 2020. Due to the relatively higher number of meta-analyses undertaken in this area of research, a streamlined systematic meta-analysis was proposed.

RESULTS

A total of 28 meta-analyses (comprising 284 individual studies) were reviewed. Data from relevant individual studies (n = 90) were extracted and included in the current study. Studies were grouped into eight surgery types and the incidence of POD for orthopedic, vascular, spinal, cardiac, colorectal, abdominal, urologic, and mixed surgeries was 20%, 14%, 13%, 32%, 14%, 30%, 10%, and 26%, respectively. POD detection instruments were different across the studies, with Confusion Assessment Method (CAM & CAM-ICU) being the most frequently adopted.

LINKING EVIDENCE TO ACTION

This study showed that POD incidence in older people undergoing surgery varied widely across surgery type. The more complex surgeries like cardiac and abdominal surgeries were associated with a higher risk of POD. This highlights the need to include the level of surgery complexity as a risk factor in preoperative assessments.

Diagnostic accuracy of the 3-minute diagnostic interview for confusion assessment method-defined delirium in delirium detection: a systematic review and meta-analysis

BACKGROUND

Delirium is a common complication clinically and is associated with the poor outcomes, yet it is frequently unrecognised and readily disregarded. Although the 3-minute diagnostic interview for confusion assessment method-defined delirium (3D-CAM) has been used in a variety of care settings, a comprehensive evaluation of its accuracy in all available care settings has not been performed.

OBJECTIVE

This study aimed to evaluate the diagnostic test accuracy of the 3D-CAM in delirium detection through a systematic review and meta-analysis.

METHODS

We systematically searched PubMed, EMBASE, the Cochrane Library, Web of Science, CINAHL (EBSCO) and ClinicalTrials.gov published from inception to 10 July 2022. The quality assessment of the diagnostic accuracy studies-2 tool was applied to evaluate methodological quality. A bivariate random effects model was used to pool sensitivity and specificity.

RESULTS

Seven studies with 1,350 participants and 2,499 assessments were included, which were carried out in general medical wards, intensive care units, internal medical wards, surgical wards, recovery rooms and post-anaesthesia care units. The prevalence of delirium ranged from 9.1% to 25%. The pooled sensitivity and specificity were 0.92 (95% confidence interval [CI] 0.87-0.95) and 0.95 (95% CI 0.92-0.97), respectively. The pooled positive likelihood ratio was 18.6 (95% CI 12.2-28.2), the negative likelihood ratio was 0.09 (95% CI 0.06-0.14) and the diagnostic odds ratio was 211 (95% CI 128-349). Moreover, the area under the curve was 0.97 (95% CI 0.95-0.98).

CONCLUSIONS

The 3D-CAM has good diagnostic accuracy for delirium detection in different care settings. Further analyses illustrated that it had comparable diagnostic accuracy in older adults and patients with dementia or known baseline cognitive impairment. In conclusion, the 3D-CAM is recommended for clinical delirium detection.

Agitated Geriatric Patients and Violence in the Workplace

Older adults may suddenly exhibit behaviors that are viewed as noncompliant, noncooperative, and threatening. They may even lash out verbally and physically causing injury to health care staff. In addition to taking actions that prevent harm to the staff and the patient, determining what caused this behavior (dementia vs delirium or other cases) will be critical, as well as debriefing the staff after the incident.

Delirium and Healthcare Utilization in Patients Undergoing Hematopoietic Stem Cell Transplantation

Delirium, a common neuropsychiatric syndrome among hospitalized patients, has been associated with significant morbidity and mortality in patients undergoing hematopoietic stem cell transplantation (HSCT). Although delirium is often reversible with prompt diagnosis and appropriate management, timely screening of hospitalized patients, including HSCT recipients at risk for delirium, is lacking. The association between delirium symptoms and healthcare utilization among HSCT recipients is also limited. We conducted a retrospective analysis of 502 hospitalized patients admitted for allogeneic or autologous HSCT at 2 tertiary care hospitals between April 2016 and April 2021. We used Natural Language Processing (NLP) to identify patients with delirium symptoms, as defined by an NLP-assisted chart review of the electronic health record (EHR). We used multivariable regression models to examine the associations between delirium symptoms, clinical outcomes, and healthcare utilization, adjusting for patient-, disease-, and transplantation-related factors. Overall, 44.4% (124 of 279) of patients undergoing allogeneic HSCT and 39.0% (87 of 223) of those undergoing autologous HSCT were identified as having delirium symptoms during their index hospitalization. Two-thirds (139 of 211) of the patients with delirium symptoms were prescribed treatment with antipsychotic medications. Among allogeneic HSCT recipients, delirium symptoms were associated with longer hospital length of stay (β = 7.960; P < .001), fewer days alive and out of the hospital (β = -23.669; P < .001), and more intensive care unit admissions (odds ratio, 2.854; P = .002). In autologous HSCT recipients, delirium symptoms were associated with longer hospital length of stay (β = 2.204; P < .001). NLP-assisted EHR review is a feasible approach to identifying hospitalized patients, including HSCT recipients at risk for delirium. Because delirium symptoms are negatively associated with health care utilization during and after HSCT, our findings underscore the need to efficiently identify patients hospitalized for HSCT who are at risk of delirium to improve their outcomes. © 2023 American Society for Transplantation and Cellular Therapy. Published by Elsevier Inc.

The Combined Effect of Delirium and Falls on Length of Stay and Discharge

INTRODUCTION

Delirium or a fall are associated with many negative outcomes including increased length of stay (LOS) and discharge to a facility; however, this relationship is incompletely understood.

METHODS

A cross-sectional study of all hospitalizations in a large, tertiary care hospital evaluated the effect of delirium and a fall on the outcomes of LOS and risk of being discharged to a facility.

RESULTS

The study included 29,655 hospital admissions. A total of 3,707 (12.5%) patients screened positive for delirium and 286 (0.96%) had a reported fall. After adjustment for covariates, relative to patients without delirium or a fall, patients with delirium only had a 1.64-fold longer LOS; patients with fall only had a 1.96-fold longer LOS; and patients who had delirium and fall had a 2.84-fold longer LOS. The adjusted odds of discharge to a facility, relative to those without delirium or a fall, was 8.98 times higher in those with delirium and a fall.

CONCLUSIONS

Delirium and falls influence LOS and likelihood of being discharged to a facility. The joint impact of falls and delirium on LOS and facility discharge was more than additive. Hospitals should consider the integrated management of delirium and falls.

The impact of rounds with a psychiatry team in the intensive care unit: A prospective observational pilot study evaluating the effects on delirium incidence and outcomes

BACKGROUND

Delirium in the intensive care unit (ICU) is a common but serious condition that has been associated with in-hospital mortality and post-discharge psychological dysfunction. The aim of this before and after study is to determine the effect of a multidisciplinary care model entailing daily ICU rounds with a psychiatrist on the incidence of delirium and clinical outcomes.

OBJECTIVE

To assess the impact of a proactive psychiatry consultation model in the surgical ICU on the incidence and duration of delirium.

METHODS

This was a prospective, single institution, observational controlled cohort pilot study of adult patients admitted to a surgical ICU. A control group that received standard of care (SOC) with daily delirium prevention care bundles in the pre-intervention period was compared to an intervention group, which had a psychiatrist participate in daily ICU rounds (post-intervention period). The primary outcome was delirium incidence. The secondary outcomes were: delirium duration, ventilator days, hospital and ICU length of stay, and in-hospital mortality.

RESULTS

A total of 104 patients were enrolled and equally split between SOC and intervention groups; 95 contributed to analysis. The overall incidence of ICU delirium was 19%. SOC and intervention groups had similar rates of delirium (21% vs 18%, p = 0.72). None of the secondary outcomes statistically significantly differed between the two groups.

CONCLUSION

Delirium in ICU patients is a potentially preventable condition with serious sequelae. There was no difference in delirium incidence or duration between patients receiving SOC or patients who had multidisciplinary rounds with a psychiatrist.

Impact of spirituality on patient memories of intensive care unit stays: A nationwide cross-sectional study

Background

Absent or delusional memories are experienced by many patients following an intensive care unit (ICU) stay. Up to 70% may have delusional or hallucinatory intrusive memories, which may persist long term. This study aims to investigate how spiritual health (SH) impacts ICU patients' memories and quality of communication (QoC) between patients and physicians (PP) or nurses (PN).

Methods

This cross-sectional study was conducted across the country on ICU patients discharged from 45 medical centers in 31 provinces of Iran, to evaluate the direct and indirect effects of SH and ICU characteristics on patients' memory. Two valid and standard ICU memory tools (ICU-MT) and SH questionnaires were administered to patients 1 day post-ICU discharge used.

Results

No significant direct effect of SH scores on ICU-MT items was observed. No significant correlation was observed between PP-QoC and PN-QoC variables and primary items of the ICU-MT. Female sex positively correlated with the development of delusional memories (odds ratio [OR]: 1.730, 95% confidence interval [CI]: 1.025-2.915, P < 0.05). Subjects admitted to the medical ICU were less likely to remember being in the ICU (OR: 0.398, 95% CI: 0.159-0.996, P < 0.05), and were less likely to report intrusive memories from their time in the hospital or events that led to their admission (OR: 0.19, 95% CI: 0.086-0.419, P < 0.001).

Conclusions

The results of this study indicate that the spiritual health indirectly increased coping with intrusive memories, however, no direct effect was observed on ICU-MT items. The quality of communication between patients and physicians and nurses significantly mediated development of intrusive memories.

Delirium in trauma ICUs: a review of incidence, risk factors, outcomes, and management

PURPOSE OF REVIEW

This article reviews the impact and importance of delirium on patients admitted to the ICU after trauma, including the latest work on prevention and treatment of this condition. As the population ages, the incidence of geriatric trauma will continue to increase with a concomitant rise in the patient and healthcare costs of delirium in this population.

RECENT FINDINGS

Recent studies have further defined the risk factors for delirium in the trauma ICU patient population, as well as better demonstrated the poor outcomes associated with the diagnosis of delirium in these patients. Recent trials and meta-analysis offer some new evidence for the use of dexmedetomidine and quetiapine as preferred agents for prevention and treatment of delirium and add music interventions as a promising part of nonpharmacologic bundles.

SUMMARY

Trauma patients requiring admission to the ICU are at significant risk of developing delirium, an acute neuropsychiatric disorder associated with increased healthcare costs and worse outcomes including increased mortality. Ideal methods for prevention and treatment of delirium are not well established, especially in this population, but recent research helps to clarify optimal prevention and treatment strategies.

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.