Delirium in the Elderly

Comparison of the frailty index and frailty phenotype and their associations with postoperative delirium incidence and severity

BACKGROUND

Recent studies have reported an association between presurgical frailty and postoperative delirium. However, it remains unclear whether the frailty-delirium relationship differs by measurement tool (e.g., frailty index vs. frailty phenotype) and whether frailty is associated with delirium, independent of preoperative cognition.

METHODS

We used the successful aging after elective surgery (SAGES) study, a prospective cohort of older adults age ≥70 undergoing major non-cardiac surgery (N = 505). Preoperative measurement of the modified mini-mental (3MS) test, frailty index and frailty phenotype were obtained. The confusion assessment method (CAM), supplemented by chart review, identified postoperative delirium. Delirium feature severity was measured by the sum of CAM-severity (CAM-S) scores. Generalized linear models were used to determine the relative risk of each frailty measure with delirium incidence and severity. Subsequent models adjusted for age, sex, surgery type, Charlson comorbidity index, and 3MS.

RESULTS

On average, patients were 76.7 years old (standard deviation 5.22), 58.8% of women. For the frailty index, the incidence of delirium was 14% in robust, 17% in prefrail, and 31% in frail patients (p < 0.001). For the frailty phenotype, delirium incidence was 13% in robust, 21% in prefrail, and 27% in frail patients (p = 0.016). Frailty index, but not phenotype, was independently associated with delirium after adjustment for comorbidities (relative risk [RR] 2.13, 95% confidence interval [CI] 1.23-3.70; RR 1.61, 95% CI 0.77-3.37, respectively). Both frailty measures were associated with delirium feature severity. After adjustment for preoperative cognition, only the frailty index was associated with delirium incidence; neither index nor phenotype was associated with delirium feature severity.

CONCLUSION

Both the frailty index and phenotype were associated with the development of postoperative delirium. The index showed stronger associations that remained significant after adjusting for baseline comorbidities and preoperative cognition. Measuring frailty prior to surgery can assist in identifying patients at risk for postoperative delirium.

Validation of the Self-Reported Edmonton Frail Scale - Acute Care in Patients ≥ 65 Years Undergoing Surgery

BACKGROUND

Frailty is common in geriatric emergency surgery and associated with increased risk for poor postoperative outcomes. Frailty screening is challenging in emergency settings. The Edmonton Frail Scale (EFS) is a valid tool to screen for patients at high risk for poor postoperative outcomes. Recently, the EFS was modified to decrease dependence on staff to perform physical measures. This modification, the EFS-Acute Care (EFS-AC), has not been validated. We wish to assess the agreement between the EFS and the EFS-AC.

STUDY DESIGN

We performed a prospective cohort study from 10/2021 - 10/2022 screening 688 patients ≥ 65 years with both the EFS and EFS-AC preoperatively. We assessed the ability of the EFS-AC to discriminate frailty identified by the EFS and compared the association of both scales with loss of independence (LOI), hospital length of stay (LOS), ICU admissions, and ICU LOS. Receiver Operator Curves were used to estimate the discriminatory thresholds for LOI.

RESULTS

688 patients with a median age 73 (IQR 68, 77) were enrolled. The EFS-AC was able to discriminate individuals' frailty status by the EFS with excellent agreement (AUC 0.971 [0.958, 0.983]). An EFS-AC threshold score of ≥ 6 points lead to 93.60% of individuals being correctly identified (77.87% sensitivity and 97.00% specificity). Both EFS and EFS-AC ≥ 6 were similarly associated with a higher risk for all clinical outcomes assessed and demonstrated similar ability to predict LOI.

CONCLUSIONS

The EFS-AC is a valid preoperative frailty screen, and due to its self-reported nature, can be administered in the acute care setting, during virtual visits, or through digital health apps. Real-time screening can assist with better understanding patient needs and lead to interventions to prevent poor hospital outcomes.

Managing Delirium in the Emergency Department: An Updated Narrative Review

Purpose of Review

Emergency departments (EDs) are facing an epidemic of overcrowding and ED boarding, particularly of older adults who often present with, or develop, delirium in the ED. Delirium is associated with increased complications, longer hospital length of stay, mortality, and costs to the healthcare system. However, we only have limited knowledge of how to successfully prevent and treat delirium in the ED in a pragmatic, sustainable, and cost-effective way. We present a narrative review of recent literature of delirium prevention and treatment programs in the ED. We aim to describe the components of successful delirium management strategies to be used by EDs in building delirium management programs.

Recent Findings

We reviewed 10 studies (2005-2023) that report delirium interventions in the ED, and describe the different components of these interventions that have been studied. These interventions included: optimizing hemodynamics and oxygenation, treating pain, hydration and nutrition support, avoiding sedative hypnotics, antipsychotics and anticholinergics, promoting sleep, sensory stimulation, limiting the time spent in the ED, educating providers and staff, and developing multidisciplinary delirium protocols integrated into the electronic health record.

Summary

Through our narrative review of the recent literature on delirium prevention and treatment programs in the ED, we have identified nine components of successful delirium prevention strategies in the ED. We also discuss three high priority areas for further research including identification of most effective components of delirium prevention strategies, conduct of additional high-quality trials in non-hip.

Development and validation of a new drug-focused predictive risk score for postoperative delirium in orthopaedic and trauma surgery patients

BACKGROUND

Postoperative delirium (POD) is the most common complication following surgery in elderly patients. During pharmacist-led medication reconciliation (PhMR), a predictive risk score considering delirium risk-increasing drugs and other available risk factors could help to identify risk patients.

METHODS

Orthopaedic and trauma surgery patients aged ≥ 18 years with PhMR were included in a retrospective observational single-centre study 03/2022-10/2022. The study cohort was randomly split into a development and a validation cohort (6:4 ratio). POD was assessed through the 4 A's test (4AT), delirium diagnosis, and chart review. Potential risk factors available at PhMR were tested via univariable analysis. Significant variables were added to a multivariable logistic regression model. Based on the regression coefficients, a risk score for POD including delirium risk-increasing drugs (DRD score) was established.

RESULTS

POD occurred in 42/328 (12.8%) and 30/218 (13.8%) patients in the development and validation cohorts, respectively. Of the seven evaluated risk factors, four were ultimately tested in a multivariable logistic regression model. The final DRD score included age (66-75 years, 2 points; > 75 years, 3 points), renal impairment (eGFR < 60 ml/min/1.73m2, 1 point), anticholinergic burden (ACB-score ≥ 3, 1 point), and delirium risk-increasing drugs (n ≥ 2; 2 points). Patients with ≥ 4 points were classified as having a high risk for POD. The areas under the receiver operating characteristic curve of the risk score model were 0.89 and 0.81 for the development and the validation cohorts, respectively.

CONCLUSION

The DRD score is a predictive risk score assessable during PhMR and can identify patients at risk for POD. Specific preventive measures concerning drug therapy safety and non-pharmacological actions should be implemented for identified risk patients.

Intraoperative Use of Phenylephrine versus Ephedrine and Postoperative Delirium: A Multicenter Retrospective Cohort Study

BACKGROUND

The treatment of intraoperative hypotension with phenylephrine may impair cerebral perfusion through vasoconstriction, which has been linked to postoperative delirium. The hypothesis was that intraoperative administration of phenylephrine, compared to ephedrine, is associated with higher odds of postoperative delirium.

METHODS

A total of 103,094 hospitalized adults undergoing general anesthesia for noncardiac, non-neurosurgical procedures between 2008 and 2020 at two tertiary academic healthcare networks in Massachusetts were included in this multicenter hospital registry study. The primary exposure was the administration of phenylephrine versus ephedrine during surgery, and the primary outcome was postoperative delirium within 7 days. Multivariable logistic regression analyses adjusted for a priori defined confounding variables including patient demographics, comorbidities, and procedural factors including magnitude of intraoperative hypotension were applied.

RESULTS

Between the two healthcare networks, 78,982 (76.6%) patients received phenylephrine, and 24,112 (23.4%) patients received ephedrine during surgery; 770 patients (0.8%) developed delirium within 7 days. The median (interquartile range) total intraoperative dose of phenylephrine was 1.0 (0.2 to 3.3) mg and 10.0 (10.0 to 20.0) mg for ephedrine. In adjusted analyses, the administration of phenylephrine, compared to ephedrine, was associated with higher odds of developing postoperative delirium within 7 days (adjusted odds ratio, 1.35; 95% CI, 1.06 to 1.71; and adjusted absolute risk difference, 0.2%; 95% CI, 0.1 to 0.3%; P = 0.015). A keyword and manual chart review-based approach in a subset of 45,465 patients further validated these findings (delirium incidence, 3.2%; adjusted odds ratio, 1.88; 95% CI, 1.49 to 2.37; P < 0.001). Fractional polynomial regression analysis further indicated a dose-dependent effect of phenylephrine (adjusted coefficient, 0.08; 95% CI, 0.02 to 0.14; P = 0.013, per each μg/kg increase in the cumulative phenylephrine dose).

CONCLUSIONS

The administration of phenylephrine compared to ephedrine during general anesthesia was associated with higher odds of developing postoperative delirium. Based on these data, clinical trials are warranted to determine whether favoring ephedrine over phenylephrine for treatment of intraoperative hypotension can reduce delirium after surgery.

EDITOR’S PERSPECTIVE

Validation of a viable delirium detection test performed by nurses and physicians during routine patient care

BACKGROUND

Delirium is a frequent mental impairment in geriatric patients hospitalized in acute care facilities. It carries a high risk of complications and is often the first symptom of acute illness. It is clearly important to identify the development of delirium at an early stage, and several short and effective diagnostic tests have been developed and validated for this purpose. Despite this, patients on hospital wards are seldom monitored for signs of emergent delirium, suggesting that compliance with guidelines would be improved by introducing a simpler and more user-friendly test.

METHODS

We recently implemented a simple delirium assessment tool, called RMA that can be introduced into the daily routine of ward staff without significantly adding to their workload. The nurses noted their impression of the patient's cognitive state in the electronic medical record, and during the morning round the ward physician administered a short attention test to any patients suspected of new cognitive impairment. In this study, we compared RMA test against the widely used and well validated 4AT.

RESULTS

RMA performed daily by the ward staff was found to be non-inferior to 4AT performed by an experienced rater. Compared to 4AT, R&M had a sensitivity of 93.9% and a specificity of 98.3%. An Altman-Bland plot indicated that both tests can be used interchangeably.

CONCLUSIONS

The RMA test is reliable, easy to administer, likely to boost compliance with guidelines, and is expected to raise awareness of delirium among the nurses and physicians directly involved in the diagnostic process.

Delirium Diagnosis, Complication Recognition, and Treatment Knowledge among Nurses in an Italian Local Hospital: A Cross-Sectional Study

Delirium, a multifactorial condition with an acute onset and diverse clinical manifestations, poses a significant challenge in the care of hospitalized individuals aged 65 years and older. This study aimed to evaluate the level of knowledge among nursing healthcare personnel regarding the diagnosis, recognition of complications, and treatment of delirium. A paper questionnaire consisting of 18 multiple-choice questions was distributed to nurses in twelve operational units located in four facilities within a local hospital in a specific geographical region under the jurisdiction of the Romagna Local Health Authority in Italy. Out of 194 respondents, the overall acceptance rate was 64.2%. The findings revealed an insufficient understanding of delirium among the nursing staff, with more than 40% of respondents answering incorrectly to five out of nine questions related to delirium knowledge, diagnosis, prevention, and treatment. Notably, gender emerged as a significant determinant, with female participants exhibiting a substantial odds ratio (OR) of 3.50 (p = 0.011 and CI95% = 1.34-9.16) compared to their male counterparts, indicating a higher likelihood of receiving delirium training among females. Furthermore, prolonged tenure within the same work context was associated with a reduced likelihood of receiving delirium training compared to those with less than two years of experience (OR = 0.21, p = 0.034, and CI95% = 0.05-0.89 for 6-10 years of tenure; OR = 0.22, p = 0.038, and CI95% = 0.05-0.92 for over 10 years of tenure). This study underscores the urgent need for enhanced delirium education and improved strategies among nurses to effectively manage patients with delirium. The results advocate regular educational sessions utilizing diverse formats to comprehensively address knowledge gaps among nursing staff. This study was not registered.

Serum NFL and tau, but not serum UCHL-1 and GFAP or CSF SNAP-25, NPTX2, or sTREM2, correlate with delirium in a 3-year retrospective analysis

Delirium represents a common terminal pathway of heterogeneous neurological conditions characterized by disturbances in consciousness and attention. Contemporary theories highlight the acute impairment of synaptic function and network connectivity, driven by neuroinflammation, oxidative stress, and neurotransmitter imbalances. However, established biomarkers are still missing. Innovative diagnostic techniques, such as single-molecule array analysis, enable the detection of biomarkers in blood at picomolar concentrations. This approach paves the way for deeper insights into delirium and potentially therapeutic targets for tailored medical treatments. In a retrospective 3-year study, we investigated seven biomarkers indicative of neuroaxonal damage [neurofilament light chain (NFL), ubiquitin carboxyl-terminal hydrolase (UCHL-1), and tau protein], microglial activation [glial fibrillary acidic protein (GFAP) and soluble triggering receptor expressed on myeloid cells 2 (sTREM2)], and synaptic dysfunction [synaptosomal-associated protein 25 (SNAP-25) and neuronal pentraxin 2 (NPTX2)]. The analysis of 71 patients with delirium, Alzheimer's disease (AD), and non-AD controls revealed that serum NFL levels are higher in delirium cases compared to both AD and non-AD. This suggests that elevated NFL levels in delirium are not exclusively the result of dementia-related damage. Serum tau levels were also elevated in delirium cases compared to controls. Conversely, cerebrospinal fluid (CSF) SNAP-25 showed higher levels in AD patients compared to controls only. These findings add to the increasing body of evidence suggesting that serum NFL could be a valuable biomarker of neuroaxonal damage in delirium research. Although SNAP-25 and NPTX2 did not exhibit significant differences in delirium, the exploration of synaptic biomarkers remains promising for enhancing our understanding of this condition.

Identification of risk factors for the onset of delirium associated with COVID-19 by mining nursing records

COVID-19 has a range of complications, from no symptoms to severe pneumonia. It can also affect multiple organs including the nervous system. COVID-19 affects the brain, leading to neurological symptoms such as delirium. Delirium, a sudden change in consciousness, can increase the risk of death and prolong the hospital stay. However, research on delirium prediction in patients with COVID-19 is insufficient. This study aimed to identify new risk factors that could predict the onset of delirium in patients with COVID-19 using machine learning (ML) applied to nursing records. This retrospective cohort study used natural language processing and ML to develop a model for classifying the nursing records of patients with delirium. We extracted the features of each word from the model and grouped similar words. To evaluate the usefulness of word groups in predicting the occurrence of delirium in patients with COVID-19, we analyzed the temporal changes in the frequency of occurrence of these word groups before and after the onset of delirium. Moreover, the sensitivity, specificity, and odds ratios were calculated. We identified (1) elimination-related behaviors and conditions and (2) abnormal patient behavior and conditions as risk factors for delirium. Group 1 had the highest sensitivity (0.603), whereas group 2 had the highest specificity and odds ratio (0.938 and 6.903, respectively). These results suggest that these parameters may be useful in predicting delirium in these patients. The risk factors for COVID-19-associated delirium identified in this study were more specific but less sensitive than the ICDSC (Intensive Care Delirium Screening Checklist) and CAM-ICU (Confusion Assessment Method for the Intensive Care Unit). However, they are superior to the ICDSC and CAM-ICU because they can predict delirium without medical staff and at no cost.

Online interpretable dynamic prediction models for postoperative delirium after cardiac surgery under cardiopulmonary bypass developed based on machine learning algorithms: A retrospective cohort study

OBJECTIVE

Postoperative delirium (POD) is strongly associated with poor early and long-term prognosis in cardiac surgery patients with cardiopulmonary bypass (CPB). This study aimed to develop dynamic prediction models for POD after cardiac surgery under CPB using machine learning (ML) algorithms.

METHODS

From July 2021 to June 2022, clinical data were collected from patients undergoing cardiac surgery under CPB at Nanjing First Hospital. A dataset from the same center (October 2022 to November 2022) was also used for temporal external validation. We used ML and deep learning to build models in the training set, optimized parameters in the test set, and finally validated the best model in the validation set. The SHapley Additive exPlanations (SHAP) method was introduced to explain the best models.

RESULTS

Of the 885 patients enrolled, 221 (25.0%) developed POD. 22 (22.0%) of 100 validation cohort patients developed POD. The preoperative and postoperative artificial neural network (ANN) models exhibited optimal performance. The validation results demonstrated satisfactory predictive performance of the ANN model, with area under the receiver operator characteristic curve (AUROC) values of 0.776 and 0.684 for the preoperative and postoperative models, respectively. Based on the ANN algorithm, we constructed dynamic, highly accurate, and interpretable web risk calculators for POD.

CONCLUSIONS

We successfully developed online interpretable dynamic ANN models as clinical decision aids to identify patients at high risk of POD before and after cardiac surgery to facilitate early intervention or care.

Delirium in the Era of COVID-19

BACKGROUND

Delirium has been associated with poor outcomes in hospitalized older adults. Rates of delirium have increased in the context of coronavirus disease 2019 (COVID-19).

PURPOSE

To explore the prevalence of delirium in older adult patients hospitalized with COVID-19 as well as correlations with age, gender, length of stay (LOS), occurrence of an intensive care unit admission or transfer, and in-hospital mortality in 2 hospitals in the southeast United States.

METHODS

A retrospective study of 1502 patients admitted between 2020 and 2021 was completed.

RESULTS

Older adult patients hospitalized with delirium and COVID-19 demonstrated significantly prolonged LOS (14.1 days vs 7.1 days, P < .0001) and higher rates of in-hospital mortality (33.5% vs 12.8%, P < .0001).

CONCLUSIONS

Findings of this study add to the growing literature on delirium in hospitalized patients and support the need for future initiatives to create protocols for monitoring and nursing care management of delirium to improve care delivery.

Efficacy and Safety of Risperidone in Patients With Delirium: The RIDDLE Pilot Study

BACKGROUND

The cornerstone treatment of delirium is to assess and treat its underlying causes and prevent further complications. Drug therapy may be necessary to control agitation and behavioral symptoms associated with delirium. The aim of this pilot study was to evaluate the feasibility of a randomized placebo controlled trial to evaluate the efficacy and safety of risperidone in the treatment of delirium.

METHODS

This was a randomized double-blinded placebo-controlled trial. Patients were enrolled in the study if they were hospitalized and 65 years or older and had a diagnosis of delirium. Delirium Rating Scale revised 98 was used to determine delirium and motor agitation.

RESULTS

A total of 14 participants with 57% being men and having a mean age of 86 years were included. There were no statistically significant differences between the risperidone and placebo group for the Delirium Rating Scale revised 98 score. There were no severe adverse reactions reported in the study, and no patients discontinued the study for adverse reactions.

CONCLUSIONS

Risperidone at low doses (1 mg daily or less) was well tolerated for the treatment of delirium. Future large-scale trials are needed to evaluate the safety and efficacy of risperidone in the treatment of delirium. This pilot study taught us that the phase 2 RIsperDone DELirium trial will need a multicenter design with more research personnel to increase the number of participants enrolled.

Establishment of a nomogram for predicting prolonged mechanical ventilation in cardiovascular surgery patients

AIMS

This study aimed to develop a nomogram model for predicting prolonged mechanical ventilation (PMV) in patients undergoing cardiovascular surgery.

METHODS AND RESULTS

In total, 693 patients undergoing cardiovascular surgery at an Affiliated Hospital of Nantong University between January 2018 and June 2020 were studied. Postoperative PMV was required in 147 patients (21.2%). Logistic regression analysis showed that delirium [odds ratio (OR), 3.063; 95% confidence interval (CI), 1.991-4.713; P < 0.001], intraoperative blood transfusion (OR, 2.489; 95% CI, 1.565-3.960; P < 0.001), obesity (OR, 2.789; 95% CI, 1.543-5.040; P = 0.001), postoperative serum creatinine level (mmol/L; OR, 1.012; 95% CI, 1.007-1.017; P < 0.001), postoperative serum albumin level (g/L; OR, 0.937; 95% CI, 0.902-0.973; P = 0.001), and postoperative total bilirubin level (μmol/L; OR, 1.020; 95% CI, 1.005-1.034; P = 0.008) were independent risk factors for PMV. The area under the receiver operating characteristic curve for our nomogram was found to be 0.770 (95% CI, 0.727-0.813). The goodness-of-fit test indicated that the model fitted the data well (χ2 = 12.480, P = 0.131). After the model was internally validated, the calibration plot demonstrated good performance of the nomogram, as supported by the Harrell concordance index of 0.760. Decision curve analysis demonstrated that the nomogram was clinically useful in identifying patients at risk for PMV.

CONCLUSION

We established a new nomogram model that may provide an individual prediction of PMV. This model may provide nurses, social workers, physicians, and administrators with an accurate and objective assessment tool to identify patients at high risk for PMV after cardiovascular surgery.

Delirium assessment tools among hospitalized older adults: A systematic review and metaanalysis of diagnostic accuracy

Delirium is a common neuropsychiatric syndrome that is often overlooked in clinical settings. The most accurate instrument for screening delirium has not been established. This study aimed to compare the diagnostic accuracy of the 4 'A's Test (4AT), Nursing Delirium Screening Scale (Nu-DESC), and Confusion Assessment Method (CAM) in detecting delirium among older adults in clinical settings. These assessment tools feature concise item sets and straightforward administration procedures. Five electronic databases were systematically searched from their inception to September 7, 2022. Studies evaluating the sensitivity and specificity of the 4AT, Nu-DESC, and CAM against the Diagnostic and Statistical Manual of Mental Disorders or International Classification of Diseases as the reference standard were included. Bivariate random effects model was used to summarize the sensitivity and specificity results. A total of 38 studies involving 7378 patients were included. The 4AT, Nu-DESC, and CAM had comparable sensitivity in detecting delirium (0.76, 0.78, and 0.80, respectively). However, the specificity of the CAM was higher than that of the 4AT (0.98 vs 0.89, P = .01) and Nu-DESC 0.99 vs 0.90, P = .003). Diagnostic accuracy was moderated by the percentage of women, acute care setting, sample size, and assessors. The three tools exhibit comparable sensitivity, and the CAM has the highest specificity. Based on the feasibility of the tools, nurses and clinical staffs could employ the Nu-DESC and the 4AT on screening out positive delirium cases and integrate these tools into daily practice. Further investigations are warranted to verify our findings.

Six-item cognitive impairment test (6-CIT)'s accuracy as a cognitive screening tool: best cut-off levels in emergency department setting

Background

Nowadays, elderly patients represent a significant number of accesses to the Emergency Department (ED). Working rhythms do not allow to perform complete cognitive analysis, which would, however, be useful for the health care. This study aims to define the optimal cut-off values of the six-item Cognitive Impairment Test (6-CIT) as a cognitive screening tool in ED.

Methods

This study included 215 subjects, evaluated at the Emergency Department of the University Hospital of Monserrato, Cagliari, Italy, from July to December 2021. The accuracy of 6-CIT as a cognitive screening tool was assessed by comparison with Mini Mental State Examination (MMSE).

Results

The correlation coefficient between the two tests was -0.836 (CI: -0.87 to -0.79; p < 0.0001), and 6-CIT showed AUC = 0.947 (CI: 0.908-0.973; p < 0.0001). The 8/9 6-CIT cut-off score presented 86.76% sensitivity (CI: 76.4-93.8) and 91.84% specificity (CI: 86.2-95.7), and Youden index for this score was 0.786.

Conclusion

Our study demonstrates that 6-CIT is a reliable cognitive screening tool in ED, offering excellent sensitivity and specificity with a 8/9 points cut-off score.

A scoping review for building a criticality-based conceptual framework of altered states of consciousness

The healthy conscious brain is thought to operate near a critical state, reflecting optimal information processing and high susceptibility to external stimuli. Conversely, deviations from the critical state are hypothesized to give rise to altered states of consciousness (ASC). Measures of criticality could therefore be an effective way of establishing the conscious state of an individual. Furthermore, characterizing the direction of a deviation from criticality may enable the development of treatment strategies for pathological ASC. The aim of this scoping review is to assess the current evidence supporting the criticality hypothesis, and the use of criticality as a conceptual framework for ASC. Using the PRISMA guidelines, Web of Science and PubMed were searched from inception to February 7th 2022 to find articles relating to measures of criticality across ASC. N = 427 independent papers were initially found on the subject. N = 378 were excluded because they were either: not related to criticality; not related to consciousness; not presenting results from a primary study; presenting model data. N = 49 independent papers were included in the present research, separated in 7 sub-categories of ASC: disorders of consciousness (DOC) (n = 5); sleep (n = 13); anesthesia (n = 18); epilepsy (n = 12); psychedelics and shamanic state of consciousness (n = 4); delirium (n = 1); meditative state (n = 2). Each category included articles suggesting a deviation of the critical state. While most studies were only able to identify a deviation from criticality without being certain of its direction, the preliminary consensus arising from the literature is that non-rapid eye movement (NREM) sleep reflects a subcritical state, epileptic seizures reflect a supercritical state, and psychedelics are closer to the critical state than normal consciousness. This scoping review suggests that, though the literature is limited and methodologically inhomogeneous, ASC are characterized by a deviation from criticality, though its direction is not clearly reported in a majority of studies. Criticality could become, with more extensive research, an effective and objective way to characterize ASC, and help identify therapeutic avenues to improve criticality in pathological brain states. Furthermore, we suggest how anesthesia and psychedelics could potentially be used as neuromodulation techniques to restore criticality in DOC.

Individuals Who Developed Delirium While Enrolled in the Hospital Elder Life Program: An Exploratory Study

Delirium prevention in hospitalized older adults is important due to delirium's high prevalence and negative impact on outcomes. Today, there are evidence-based programs with well-documented effectiveness aimed at preventing delirium, such as the Hospital Elder Life Program (HELP); however, approximately 4% to 5% of patients develop delirium regardless of implemented prevention interventions. It remains unknown why some patients develop delirium. The current retrospective exploratory chart review analyzed 98 records for clinical risk factors and outcomes of patients who developed delirium while enrolled in the HELP. On admission, immobility (86.7%) was the most common risk factor. Patients developed delirium approximately 70 hours after admission. Average length of stay was 8 days. Approximately one half (44.9%) of patients died within 1 year. Immobility (97.7% vs. 77.8%, p = 0.005) and renal disease (52.3% vs. 24.1%, p = 0.008) were more often found in patients who died. This study identifies risk factors that seem to require heightened attention during hospitalization to prevent the negative outcomes associated with delirium in older adults. [Journal of Gerontological Nursing, 49(5), 19-29.].

Effects of thoracic paravertebral nerve block on postoperative pain and postoperative delirium in elderly patients undergoing thoracoscopic lobectomy

OBJECTIVES

To evaluate the effects of ultrasound-guided thoracic paravertebral nerve block on perioperative pain and postoperative delirium in elderly patients undergoing thoracoscopic lobotomy.

METHODS

Patients aged 60 to 80 years who underwent the surgery of thoracoscopic lobectomy were selected; ASA grades I to III and New York Heart Association (NYHA) grades I to II. Patients were randomly divided into two groups: group C (group Compaired) and group T (group Thoracic Paravertebral Nerve Block TPVB). Patients in group T received ultrason-guided TPVB while those in group C didn't received TPVB. Postoperative patient-controlled intravenous analgesia was administered to all the patients. The consumption of intraoperative opioids, cases of hipoxemia, operative time, and extubation time was also recorded. Pain scores (static and dynamic) were assessed at 2, 4, 6, 24, 48, 72, 96, and 120 hours point after the operation. Pain scores, occurrence of postoperative delirium occurrence, postoperative complications, total amount of analgesic drugs, length of hospital stay, rescue analgesic requirement, and side effects were recorded within 5 days.

RESULTS

Intraoperative dosages of sufentanil and remifentanil were significantly lower in group T (Table 1). The postoperative recovery time in group T was significantly shortened (Table 1). The VAS pain scores of group T at 2, 4, 6, and 24 hours after surgery were much lower. The consumption of intraoperative opioids, number of rescue analgesic requirements, and the occurrence of postoperative delirium incidence in group T was significantly reduced (Table 2). There were no differences in hipoxemia events, postoperative nausea, vomiting and pulmonary complications between the two groups (Table 2).

CONCLUSION

Preoperative ultrasound-guided thoracic paravertebral nerve block (TPVB) can obviously decrease the intraoperative and postoperative opioids consumption, shorten the recovery time, reduce the number of rescue analgesia and the incidence of postoperative delirium in elderly patients undergoing thoracoscopic lobotomy.

Dose-dependent relationship between intra-procedural hypoxaemia or hypocapnia and postoperative delirium in older patients

BACKGROUND

Previous studies indicated an association between impaired cerebral perfusion and post-procedural neurological disorders. We investigated whether intra-procedural hypoxaemia or hypocapnia are associated with delirium after surgery.

METHODS

Inpatients ≥60 yr of age undergoing anaesthesia for surgical or interventional procedures between 2009 and 2020 at an academic healthcare network in the USA (Massachusetts) were included in this hospital registry study. The primary exposure was intra-procedural hypoxaemia, defined as peripheral oxygen saturation <90% for >2 cohering min. The co-primary exposure was hypocapnia during general anaesthesia, defined as end-tidal carbon dioxide pressure ≤25 mm Hg for >5 cohering min. The primary outcome was delirium within 7 days after surgery.

RESULTS

Of 71 717 included patients, 1702 (2.4%) developed postoperative delirium, and hypoxaemia was detected in 2532 (3.5%). Of 42 894 patients undergoing general anaesthesia, 532 (1.2%) experienced hypocapnia. The occurrence of either hypoxaemia (adjusted odds ratio [OR_adj]=1.71; 95% confidence interval [CI], 1.40-2.07; P<0.001) or hypocapnia (OR_adj=1.77; 95% CI, 1.30-2.41; P<0.001) was associated with a higher risk of delirium within 7 days. Both associations were dependent on the magnitude, and increased with event duration (OR_adj=1.03; 95% CI, 1.02-1.04; P<0.001 and OR_adj=1.01; 95% CI, 1.00-1.01; P=0.005, for each minute increase in the longest continuous episode, respectively). There was no association between occurrence of hypercapnia and postoperative delirium (OR_adj=1.24; 95% CI, 0.90-1.71; P=0.181).

CONCLUSIONS

Intra-procedural hypoxaemia and hypocapnia were dose-dependently associated with a higher risk of postoperative delirium. These findings support maintaining normal gas exchange to avoid postoperative neurological disorders.

Frailty and hyperactive delirium in hospitalized older patients with COVID-19: an insight from GeroCovid registry

BACKGROUND

Delirium is an acute neuropsychiatric condition associated with unfavourable outcomes, frequent in older hospitalized people. In the context of the SARS-CoV-2 pandemic, few studies have specifically focused on the inflammatory status of older, frail patients with hyperactive delirium (HD) hospitalized for COVID-19.

AIM

To identify biological correlates of HD at hospital admission and to assess the independent effect of delirium and physical frailty on in-hospital mortality.

METHODS

Data were retrospectively extracted by the multicenter registry GeroCovid Observational Study. Individuals aged ≥ 60 years were included if the information on the presence of HD, frailty based on the modified Fried criteria and inflammatory status had been collected. The risk of mortality was evaluated using a Kaplan-Meier estimator, according to frailty and delirium. Logistic and restricted cubic-spline regressions were employed to assess the relationship between inflammatory markers and HD.

RESULTS

Three-hundred-thirty-seven older adults were included in the analysis [mean age (SD) 77.1 (9.5) years, 50.1% females], and 11.5% presented with HD. A significant association of both PaO₂/FiO₂ ratio (p = 0.015) and serum lactate dehydrogenase (p = 0.04) with delirium was observed. By Cox multivariable regression, frail and non-frail patients with HD had a 4.42 and 2.85 higher mortality risk compared with non-frail, non-delirious patients.

CONCLUSIONS

Hyperactive delirium at hospital admission is related with markers of lung failure among older adults, especially when physical frailty coexists. Delirium is associated with increased in-hospital mortality risk, which is doubled by the coexistence of physical frailty.

Nurses' knowledge, barriers and practice in the care of patients with delirium in the intensive care unit in Poland-A cross-sectional study

Background

Delirium is a cognitive disorder that occurs with high frequency in patients in intensive care units and affects patient outcomes. Despite recommendations for monitoring and assessing delirium in the ICU, studies show that it is still not routinely assessed and often remains undiagnosed or misinterpreted as dementia or depression.

Aim

The aim of this study was (1) to assess nurses' knowledge and clinical practices regarding delirium, (2) to identify the factors associated with nurses' knowledge, and (3) to define barriers to effective control of delirium.

Methods

A cross-sectional study was conducted among 371 ICU nurses in Poland.

Results

53.1% of nurses had never been educated on delirium control resulting in a deficit in knowledge of delirium symptoms, risk factors and complications associated with delirium in ICU patients. Master's degree in nursing (vs. Registered nurses + Bachelor's), female gender, and working in university hospital (vs. other) were positively correlated with nurse's knowledge, while age had a negative impact on knowledge. Delirium is a marginalized state in ICU patients, only 16.4% of nurses assessed delirium routinely and 35.8% assessed delirium occasionally, rarely using validated scales. Barriers to effective delirium control were primarily the lack of a requirement to assess delirium, the difficulty of assessing delirium in intubated patients and nurses' lack of confidence in their ability to use delirium assessment tools.

Conclusions

There is an urgent need to educate nurses about delirium and to make delirium assessment obligatory in clinical practice. The area of change should also include a hospital policy on delirium monitoring and management. The study was registered on ClinicalTrials.gov (NCT05384964).

Micronutrient Deficiency and Its Potential Role in Delirium Onset in Older Adults: A Systematic Review

BACKGROUND AND OBJECTIVES

One of the pathogenetic hypotheses of delirium is the "neuroinflammatory theory" with consequent neurotoxicity of brain connectivity networks. Micronutrients may play a significant role in the prevention of neuroinflammation. This systematic review addresses the role of micronutrients in the development of delirium in older populations.

METHODS

The EBSCO, Cochrane, PubMed, and Web of Science databases were searched for articles on delirium and micronutrients. The methodological quality of the studies included in the review was evaluated with the Newcastle-Ottawa Scales for observational studies and for case-control studies.

RESULTS

1326 papers were identified from the searches, 7 of which met the inclusion criteria (see section 2.3). All the papers included were written in English. Delirium was predominantly secondary to post-operative dysfunction or acute medical conditions. By altering the production of neurotransmitters resulting in an imbalance, and by reducing their immunomodulatory role with a consequent increase in inflammatory oxidative stress, micronutrient deficiency seems to be associated with an increased incidence of delirium.

CONCLUSIONS

This review supports the existence of an association between micronutrient deficiency (i.e. cobalamin, thiamine, and vitamin D) and an increased incidence of delirium, with a greater prevalence in hospitalized patients.

Hydrogen Gas Treatment Improves Postoperative Delirium and Cognitive Dysfunction in Elderly Noncardiac Patients

Purpose: Postoperative delirium is a state of acute brain dysfunction characterized by fluctuating mental status that affects millions of patients each year. We used prophylactic inhalation of hydrogen gas in elderly patients undergoing elective surgery to compare their occurrence of postoperative delirium with that of controls. Methods: A total of 184 patients aged ≥ 65 years were enrolled and randomized into either a control group or a hydrogen inhalation group. The quality of sleep was assessed 1 day before and 1, 3, and 7 days after surgery at 8 A.M. The Confusion Assessment Method (CAM) was used as a screening tool for delirium and assessed the patients’ state of consciousness 1−7 days after surgery. Results: Postoperative delirium occurred in 17 (24%) of 70 patients without hydrogen inhalation and in 10 (12%) of 83 patients after hydrogen inhalation. The incidence of delirium was decreased in the hydrogen group. No significant differences were found between length of stay in hospital after surgery and sleep quality at 1, 3, and 7 days postoperatively between the two groups. The numerical rating scale (NRS) pain scores were higher in the hydrogen group (4.08 ± 1.77) than the control group (3.54 ± 1.77) on day 1 (p < 0.05); however, the mean difference between the two groups was small (1 to 1.6). There were no significant differences on day 3 and 7. The postoperative C-reactive protein level was significantly lower in the hydrogen group than the control group. Conclusions: This study suggests that hydrogen inhalation can prevent postoperative delirium in elderly noncardiac patients by reducing the inflammatory response.

Sevoflurane-induced POCD-associated exosomes delivered miR-584-5p regulates the growth of human microglia HMC3 cells through targeting BDNF

BACKGROUND

Inhalation of sevoflurane can cause neuronal apoptosis, and cognitive disorders, inducing to the occurrence and progression of post operative cognitive dysfunction (POCD). This study aimed to explore the roles of sevoflurane-induced POCD-associated exosomes on HMC3 cells and its related mechanisms.

METHODS

Exosomes were isolated from the plasma of sevoflurane-induced POCD or non-POCD patients, and were then sent for small RNA sequencing. Real-time quantitative PCR (RT-qPCR) was used to verify the sequencing results, and miR-584-5p was chosen for subsequent study. HMC3 cells were respectively transfected with POCD-derived exosomes and miR-584-5p mimics, and cell viability and apoptosis were measured. Dual-luciferase reporter gene assay was applied to confirm the target of miR-584-5p.

RESULTS

After sequencing, 301 differentially expressed miRNAs were identified, including 184 up-regulated miRNAs and 117 down-regulated miRNAs, and were significantly enriched in 3577 GO terms and 121 KEGG pathways. Due to the high level of miR-584-5p in sevoflurane-treated POCD-derived exosomes, HMC3 cells with miR-584-5p enrichment were successfully established. Compared with the control group, POCD-derived exosomes and miR-584-5p significantly inhibited viability and promoted apoptosis of HMC3 cells (P < 0.05). The IL-1β and TNF-α levels were significantly increased after POCD-derived exosomes and miR-584-5p mimics treatment compared to the control group (P < 0.05). Besides, POCD-derived exosomes and miR-584-5p mimics significantly down-regulated the expression levels of BDNF and p-TrkB, and up-regulated Caspase 3 and IL-1β. Finally, BDNF was confirmed to be the target of miR-584-5p.

CONCLUSIONS

Sevoflurane-induced POCD-associated exosomes delivered miR-584-5p may regulate the growth of HMC3 cells via targeting BDNF.

Delirium in Head Trauma: Looking for a Culprit

Head trauma and delirium are two common conditions in the elderly population. They both carry a heavy burden in terms of mortality and morbidity and are associated with one another through several environmental and clinical factors, such as comorbidities, age, and sex. One factor that may play a role in both these conditions is inflammation, which might also represent a link between them. In particular, head trauma can cause both systemic and neuroinflammation, while delirium appears to be precipitated by inflammatory conditions, while also involving a number of inflammatory pathways in its pathogenesis. Interleukin 6 and tumor necrosis factor α are only two of the main actors in this crosstalk, which also involves microglia and immune cells. An indirect proof is that anti-inflammatory drugs have proven effective in reducing post-traumatic delirium, thus demonstrating the importance of inflammation in the pathophysiology of this disease. In this paper, we have revised the available literature exploring the links between inflammation, head trauma and delirium and we will discuss the mechanisms of this relationship, paying particular attention to the possible future implications.

Identifying Medicare Beneficiaries With Delirium

BACKGROUND

Each year, thousands of older adults develop delirium, a serious, preventable condition. At present, there is no well-validated method to identify patients with delirium when using Medicare claims data or other large datasets. We developed and assessed the performance of classification algorithms based on longitudinal Medicare administrative data that included International Classification of Diseases, 10th Edition diagnostic codes.

METHODS

Using a linked electronic health record (EHR)-Medicare claims dataset, 2 neurologists and 2 psychiatrists performed a standardized review of EHR records between 2016 and 2018 for a stratified random sample of 1002 patients among 40,690 eligible subjects. Reviewers adjudicated delirium status (reference standard) during this 3-year window using a structured protocol. We calculated the probability that each patient had delirium as a function of classification algorithms based on longitudinal Medicare claims data. We compared the performance of various algorithms against the reference standard, computing calibration-in-the-large, calibration slope, and the area-under-receiver-operating-curve using 10-fold cross-validation (CV).

RESULTS

Beneficiaries had a mean age of 75 years, were predominately female (59%), and non-Hispanic Whites (93%); a review of the EHR indicated that 6% of patients had delirium during the 3 years. Although several classification algorithms performed well, a relatively simple model containing counts of delirium-related diagnoses combined with patient age, dementia status, and receipt of antipsychotic medications had the best overall performance [CV- calibration-in-the-large <0.001, CV-slope 0.94, and CV-area under the receiver operating characteristic curve (0.88 95% confidence interval: 0.84-0.91)].

CONCLUSIONS

A delirium classification model using Medicare administrative data and International Classification of Diseases, 10th Edition diagnosis codes can identify beneficiaries with delirium in large datasets.

Recall of delirium and related distress in elderly hospitalized patients: A prospective study

Background: Delirium is a very common neuropsychiatric disorder in the elderly, with a significant physical and psychological burden. Much is still unknown about its psychological effects. This study aims to identify the proportion of patients who recall delirium and to analyze the distress caused by it. In addition, this study aims to analyze the association between delirium recall and related distress and global psychological distress regarding hospitalization. Methods: This is a prospective study with elderly hospitalized patients in level-2 units of intensive care medicine department of a university hospital. Exclusion criteria were a Glasgow Coma Scale total ≤11, brain injury, blindness, deafness, or inability to communicate. Delirium was daily assessed with the Confusion Assessment Method. Delirium recall and related distress in patients were measured using the Delirium Experience Questionnaire. Global psychological distress was assessed with the Kessler Psychological Distress Scale. Results: From 105 patients, 38 (36.2%) developed delirium. Most patients did not remember the delirium episode (64.7%). Among those who remembered (35.3%), most described delirium as a distressing experience (75%). Delirium recall was associated with high global psychological distress (P = .029). Conclusions: Distress related to delirium is high, namely in patients who recall the episode. Global psychological distress during hospitalization is associated with delirium recall. This study highlights the need to assess the experience of delirium in these patients, as well as the importance of providing support and psychological interventions to minimize the associated distress.

Prediction model for delirium in patients with cardiovascular surgery: development and validation

BACKGROUND

The aim of this study was to construct a nomogram model for discriminating the risk of delirium in patients undergoing cardiovascular surgery.

METHODS

From January 2017 to June 2020, we collected data from 838 patients who underwent cardiovascular surgery at the Affiliated Hospital of Nantong University. Patients were randomly divided into a training set and a validation set at a 5:5 ratio. A nomogram model was established based on logistic regression. Discrimination and calibration were used to evaluate the predictive performance of the model.

RESULTS

The incidence of delirium was 48.3%. A total of 389 patients were in the modelling group, and 449 patients were in the verification group. Logistic regression analysis showed that CPB duration (OR [Formula: see text] 1.004, 95% CI: 1.001-1.008, [Formula: see text] 0.018), postoperative serum sodium (OR [Formula: see text] 1.112, 95% CI: 1.049-1.178, [Formula: see text] 0.001), age (OR [Formula: see text] 1.027, 95% CI: 1.006-1.048, [Formula: see text] 0.011), and postoperative MV (OR [Formula: see text] 1.019, 95% CI: 1.008-1.030, [Formula: see text] 0.001) were independent risk factors. The results showed that AUC[Formula: see text] was 0.712 and that the 95% CI was 0.661-0.762. The Hosmer-Lemeshow goodness of fit test showed that the predicted results of the model were in good agreement with the actual situation ([Formula: see text] 6.200, [Formula: see text] 0.625). The results of verification showed that the AUC[Formula: see text] was 0.705, and the 95% CI was 0.657-0.752. The Hosmer-Lemeshow goodness of fit test results were [Formula: see text] 8.653 and [Formula: see text] 0.372, indicating that the predictive effect of the model is good.

CONCLUSIONS

The establishment of the model provides accurate and objective assessment tools for medical staff to start preventing postoperative delirium in a purposeful and focused manner when a patient enters the CSICU after surgery.

Esketamine prevents propofol-induced injection pain: Randomized controlled trial

Background: Propofol is widely used during anesthesia. However, propofol-induced injection pain (PIP) is considered an unpleasant perioperative outcome. This study aimed to investigate the efficacy of a mixture of esketamine and propofol in preventing propofol injection pain in patients undergoing general anesthesia.

Methods: This was a prospective, double-blind, multicenter, and randomized controlled trial. We included 252 adult patients with the American Society of Anesthesiologists physical status I to II who underwent surgery under general anesthesia. Patients were randomly allocated in a 1:1:1:1 ratio to four groups (n = 63 per group). Group NS received a mixture of 1% propofol (20 ml) and 0.9% normal saline (1 ml), group ESK-4 received a mixture of 1% propofol (20 ml) and esketamine 4 mg (diluted with 0.9% normal saline, 1 ml), group ESK-12 received a mixture of 1% propofol (20 ml) and esketamine 12 mg (diluted with 0.9% normal saline, 1 ml), and group ESK-20 received a mixture of 1% propofol (20 ml) and esketamine 20 mg (diluted with 0.9% normal saline, 1 ml) as sedative drugs during anesthesia. The primary outcome was the incidence and distribution of different degrees of PIP. The secondary outcomes were vital signs, characteristics of surgery and anesthesia, and adverse events.

Results: The incidence of PIP in group ESK-20 (33.3%) was significantly lower than that in groups NS, ESK-4, and ESK-12 (63.3%, 62.2%, and 49.1%, respectively; p &lt; 0.01). The incidence of moderate PIP in group NS (33.3%) and group ESK-4 (22.6%) was higher than that in groups ESK-12 (7.5%) and ESK-20 (6.7%). The incidence of severe PIP in group NS (6.7%) and group ESK-4 (9.4%) was higher than that in groups ESK-12 (1.9%) and ESK-20 (0%). There were no differences in the vital signs, characteristics of surgery and anesthesia, or adverse events between the groups.

Conclusion: Our results indicated that the esketamine–propofol admixture reduced the incidence of PIP in patients undergoing general anesthesia without severe side effects.

Delirium in Nursing Home Residents: A Narrative Review

Delirium is an important component of the geriatric syndromes and has been recognized to negatively influence the prognosis of older people in hospital and in a post-acute setting. About 2–5% of older people world-wide live in nursing homes and are characterized by functional impairment, cognitive decline, dementia, comorbidities, and polypharmacotherapy, all factors which influence the development of delirium. However, in this setting, delirium remains often understudied. Therefore, in this narrative review, we aimed to describe the latest evidence regarding delirium screening tools, epidemiology characteristics, outcomes, risk factors, and preventions strategies in nursing homes.

Delirium in elderly patients with COPD combined with respiratory failure undergoing mechanical ventilation: a prospective cohort study

Background

COPD combined with respiratory failure is very common in intensive care unit (ICU). We aimed to evaluate the current status and influencing factors of delirium in elderly COPD patients with undergoing mechanical ventilation.

Methods

Patients with COPD combined with respiratory failure and mechanically ventilated who were admitted to the ICU of our hospital were selected. The characteristics of included patients were assessed. Pearson correlation analysis was performed to evaluate the characteristics of patients and delirium. Logistic regression analysis was conducted to identify the risk factors of delirium in elderly patients with COPD combined with respiratory failure undergoing mechanical ventilation.

Results

A total of 237 COPD combined with respiratory failure patients were included, the incidence of delirium was 21.94%. Pearson correlation analysis indicated that age (r = 0.784), BMI (r = 0.709), hypertension (r = 0.696), APACHE II score (r = 0.801), CPOT (r = 0.513), sedation(r = 0.626) and PaO₂ (r = 0.611) were all correlated with the occurrence of delirium (all p < 0.05). Logistic regression analysis indicated that age ≥ 75y (OR 3.112, 95% CI 2.144–4.602), BMI ≤ 19 kg/m² (OR 2.742, 95% CI 1.801–3.355), hypertension(OR 1.909, 95% CI 1.415–2.421), APACHE II score ≥ 15 (OR 2.087, 95% CI 1.724–2.615), CPOT ≥ 5 (OR 1.778, 95% CI 1.206–2.641), sedation(OR 3.147, 95% CI 2.714–3.758), PaO₂ ≤ 75 mmHg(OR 2.196, 95%CI 1.875–3.088) were the risk factors of delirium in elderly patients with COPD combined with respiratory failure undergoing mechanical ventilation (all p < 0.05).

Conclusions

Delirium is common in patients with COPD and respiratory failure undergoing mechanical ventilation, and there are many related influencing factors. Medical staff should pay more attention to patients with risk factors and take intervention measures as soon as possible to reduce the incidence of delirium.

Impact of combined epidural anaesthesia/analgesia on postoperative cognitive impairment in patients receiving general anaesthesia: a meta-analysis of randomised controlled studies

BACKGROUND

To investigate the efficacy of combined epidural anaesthesia/analgesia (EAA) against postoperative delirium/cognitive dysfunction (POD/POCD) in adults after major non-cardiac surgery under general anaesthesia (GA).

METHODS

The databases of PubMed, Google scholar, Embase and Cochrane Central Register were searched from inception to November 2021 for available randomised controlled trials (RCTs) that assessed the impact of EAA on risk of POD/POCD. The primary outcome was risk of POD/POCD, while the secondary outcomes comprised postoperative pain score, length of hospital stay (LOS), risk of complications, and postoperative nausea/vomiting (PONV).

RESULTS

Meta-analysis of eight studies with a total of 2376 patients (EAA group: 1189 patients; non-EAA group: 1187 patients) revealed no difference in risk of POD/POCD between the EAA and the non-EAA groups [Risk ratio (RR): 0.68; 95% CI: 0.41 to 1.13, p = 0.14, I² = 73%], but the certainty of evidence was very low. Nevertheless, the EAA group had lower pain score at postoperative 24 h [mean difference (MD): -1.49, 95% CI: -2.38 to -0.61; I² = 98%; five RCTs; n = 476] and risk of PONV (RR = 0.73, 95% CI: 0.57 to 0.93, p = 0.01, I² = 0%; three RCTs, 1876 patients) than those in the non-EAA group. Our results showed no significant impact of EAA on the pain score at postoperative 36-72 h, LOS, and risk of complications.

CONCLUSION

This meta-analysis demonstrated that EAA had no significant impact on the incidence of POD/POCD in patients following non-cardiac surgery.

Risk of delirium associated with antimuscarinics in older adults: a case-time-control study

Background

Older adults are at an increased risk of delirium because of age, polypharmacy, multiple comorbidities and acute illness. Antimuscarinics are the backbone of the pharmacological management of overactive bladder. However, the safety profiles of antimuscarinics vary because of their dissimilarities to muscarinic receptor‐subtype affinities and are associated with differential central anticholinergic adverse effects.

Objective

This study aimed to examine delirium risk in new users of oxybutynin and solifenacin in older adults (≥ 65 years). In the secondary analyses, we examined the risk of delirium by type and dose of antimuscarinic.

Method

We applied a case‐time‐control design to investigate delirium risk in older adults who started taking oxybutynin and solifenacin. We used a nationwide inpatient hospital data (2005–2016), National Minimum Data Set, maintained by the Ministry of Health, New Zealand (NZ), to identify older adults with a new‐onset diagnosis of delirium. Eligible patients were older adults aged 65 at entry into the cohort on 1/1/2006. We used dispensing claims data to determine antimuscarinic treatment exposure. The antimuscarinic included in the study were new users of oxybutynin and solifenacin. These two antimuscarinics are subsidised by the Pharmaceutical Management Agency and are the most frequently used antimuscarinic in NZ. A conditional logistic regression model was used to compute matched odds ratios (MORs) and 95% confidence intervals (CIs). In the case‐time‐control design, we made separate analyses to evaluate the dose–response risk of delirium.

Results

We identified 4818 individuals (mean age 82.14) from 2005 to 2015 with incident delirium and were exposed to at least one of the antimuscarinic of interest. The case‐time‐control matched odds ratio (MOR) for delirium with oxybutynin was (2.06, 95% confidence interval [CI] 1.07–3.96). Solifenacin was not associated with delirium (0.89 95%CI 0.64–1.23). In the sensitivity analyses, the case‐time‐control MOR for delirium using a shorter risk period (0–3 days) did not change the results. The dose–response risk of delirium was significant for oxybutynin (0.05, 95%CI 0.02–0.08) but not for solifenacin (−0.01, 95%CI −0.03 to 0.00). In addition, in the subgroup analyses, a statistically significant association of delirium was found for oxybutynin but not for solifenacin in the non‐dementia cohort (2.11,95% CI 1.08–4.13) and the dementia cohort (1.25, 95%CI 0.05–26.9).

Conclusion

The study found that oxybutynin but not solifenacin is associated with a risk of new‐onset delirium in older adults. The higher blockade of M1 and M2 receptors by oxybutynin is likely to contribute to delirium than solifenacin, which is highly selective for the M3 receptor subtype. Therefore, the treatment choice with an M3 selective agent must be given due consideration, particularly in those with pre‐existing cognitive impairment.

Non-Pharmacological Nursing Interventions to Prevent Delirium in ICU Patients-An Umbrella Review with Implications for Evidence-Based Practice

Delirium in ICU patients is a complication associated with many adverse consequences. Given the high prevalence of this complication in critically ill patients, it is essential to develop and implement an effective management protocol to prevent delirium. Given that the cause of delirium is multifactorial, non-pharmacological multicomponent interventions are promising strategies for delirium prevention. (1) Background: To identify and evaluate published systematic review on non-pharmacological nursing interventions to prevent delirium in intensive care unit patients. (2) Methods: An umbrella review guided by the Joanna Briggs Institute was utilized. Data were obtained from PubMed, Scopus, EBSCO, Web of Science, Cochrane Library, and Google Scholar. The last search was conducted on 1 May 2022. (3) Results: Fourteen reviews met the inclusion criteria. Multicomponent interventions are the most promising methods in the fight against delirium. The patient's family is an important part of the process and should be included in the delirium prevention scheme. Light therapy can improve the patient's circadian rhythm and thus contribute to reducing the incidence of delirium. (4) Conclusions: Non-pharmacological nursing interventions may be effective in preventing and reducing the duration of delirium in ICU patients.

Benzodiazepine Use and Morbidity-Mortality Outcomes in a Geriatric Palliative Care Unit: A Retrospective Review

INTRODUCTION

Patients often experience delirium at the end of life. Benzodiazepine use may be associated with an increased risk of developing delirium. Alternate medications used in conjunction with benzodiazepines may serve as an independent precipitant of delirium. The aim is to understand the role of benzodiazepines in precipitating delirium and advanced mortality in palliative care population at the end of life.

METHODS

A retrospective medical chart review was conducted at a hospice and palliative care inpatient unit between the periods of June 2017-December 2017 and October 2017-November 2018. It included patients in hospice and palliative care inpatient units who received a benzodiazepine and those who did not. Patient characteristics, as well as Palliative Performance Scale score, diagnosis, and occurrence of admission, terminal, and/or recurrent delirium, were collected and analyzed.

RESULTS

Use of a benzodiazepine was not significantly associated with overall mortality nor cause-specific death without terminal delirium rate. However, it was significantly associated with higher cause-specific death with terminal delirium rate and a higher recurrent delirium rate.

DISCUSSION

This retrospective chart review suggests an association between benzodiazepine use and specific states of delirium and cause-specific death. However, it does not provide strong evidence on the use of this drug, especially at the end of life, as it pertains to the overall mortality rate. Suggested is a contextual approach to the use of benzodiazepines and the need to consider Palliative Performance Scale score and goals of care in the administration of this drug at varying periods during patient length of stay.

Effects of non-pharmacological interventions for preventing delirium in general ward inpatients: A systematic review & meta-analysis of randomized controlled trials

The purpose of this study was to identify the types and contents of non-pharmacological delirium prevention interventions applied to inpatients in general wards, and to verified the effectiveness of the interventions on the incidence of delirium. We performed an extensive search of bibliographic databases and registries (CENTRAL, MEDLINE, EMBASE, CINAHL, ClinicalTrials.gov and WHO International Clinical Trials Registry Platform, PubMed and Google Scholar, and Korean DB such as RISS, DBpia, KISS, NDSL and KCI) using terms to identify delirium, prevention, and non-pharmacological. We searched all databases from their inception to January 2021 and imposed restriction on language of publication in English and Korean. We included studies if they were conducted as all types of randomized controlled trials (RCT), involving adult patients aged 19 years or more who were admitted to a general ward. We included trials comparing non-pharmacological intervention versus usual care. The entire process of data selection and extraction, assessment of risk of bias with ROB2.O was independently performed by three researchers. The estimated effect size was an odds ratio (OR) and 95% confidence interval. The fixed effects model and general inverse variance estimation method were adopted. The type of non-pharmacological delirium prevention interventions for inpatients in general ward was mainly multi-component intervention to correct delirium risk factors. The content and intensity of non-pharmacological interventions varied greatly depending on the characteristics of the patient and the clinical situation. As a result of the meta-analysis, non-pharmacological multi-component intervention was effective in reducing the incidence of delirium, and it was confirmed that it was effective in reducing the incidence of delirium in both the internal and surgical wards. It was confirmed by quantitative evidence that non-pharmacological interventions, especially multi-component interventions, were effective in preventing delirium in general ward inpatients.

[Announcement of the diagnosis of Alzheimer's disease or a related disorder in a geriatric short-stay unit]

The disclosure of the diagnosis of Alzheimer's disease or a related disorder, or rather the time of the diagnostic disclosure, is a crucial step in the care of people with these neurocognitive diseases. While the disclosure procedures are well defined for practitioners who work in memory consultations, there is a grey area for hospital professionals who work in acute medical units.

Delirium in the elderly admitted to an emergency hospital service

ABSTRACT Objective: To check for the presence of delirium in the elderly entering the emergency room (ER) of the University Hospital of Santa Maria (HUSM) and their relationship with sociodemographic variables, reason and time of hospitalization, comorbidities, and death. Methods: A quantitative, cross-sectional exploratory study, which analyzed data from the sociodemographic profile, Confusion Assessment Method, Charlson Comorbidities Index, and follow-up of the outcomes “in-hospital death” and “length of hospitalization.” The period analyzed in the study was between July and December 2019. Results: Of the 732 participants, 394 (53.90%) were men, with an average age of 72 years. The study identified Delirium in 99 (13.52%) participants, and death, in 120 (16.39%). There was an association of this disorder with age, comorbidities, length of hospitalization, death, and some reasons for hospitalization, such as diseases of the circulatory, respiratory and genitourinary systems. Conclusion: The results warn of the high incidence of delirium in emergency units and their relationship with a worse prognosis.

Systematic review of clinical evidence on postoperative delirium: literature search of original studies based on validated diagnostic scales

BACKGROUND

Postoperative delirium is a serious complication that can occur within the 5th postoperative day. In 2017, the European Society of Anesthesiologists delivered dedicated guidelines that reported the need for routine monitoring using validated scales.

OBJECTIVE

Aim of this systematic review is to identify clinical studies related to postoperative delirium that included postoperative monitoring with validated scales.

DESIGN

Systematic review METHODS: Searched keywords included the following terms: postoperative, postsurgical, post anesthesia, anesthesia recovery, delirium, and confusion. Two researchers independently screened retrieved studies using a data extraction form.

RESULTS

Literature search led to retrieve 6475 hits; of these, 260 studies (5.6% of the retrieved), published between 1987 and 2021, included in their methods a diagnostic workup with the use of a postoperative delirium validated scale and monitored patients for more than 24 h, therefore are qualified to be included in the present systematic review.

CONCLUSION

In conclusion, available clinical literature on postoperative delirium relies on a limited number of studies, that included a validated diagnostic workup based on validated scales, extracted from a large series of studies that used inconsistent diagnostic criteria. In order to extract indications based on reliable evidence-based criteria, these are the studies that should be selectively considered. The analysis of these studies can also serve to design future projects and to test clinical hypothesis with a more standardized methodological approach.

Diagnosis and Risk Factors for Delirium in Elderly Patients in the Emergency Rooms and Intensive Care Unit of the National Geriatric Hospital Emergency Department: A Cross-Sectional Observational Study

Purpose

To diagnose delirium and identify risk factors for its development in elderly patients in the emergency department (ED) and intensive care units (ICU) at the National Geriatric Hospital (Vietnam).

Patients and Methods

A cross-sectional observational study was conducted with a convenience sample of non-surgical patients admitted to ED and ICU at Hanoi National Geriatric Hospital in Vietnam. In total, 163 patients met the selection criteria and were included in the study. Screening involved using the Confusion Assessment Method (CAM) and the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). The diagnosis was established according to the DSM-5 and ICD-10 codes.

Results

Delirium was found in a total of 106 (63.1%) patients. The factors significantly affecting its development were vision impairment (OR, 3.3; 95% CI, 1.5 to 7.4, P=0.003), hearing impairment (OR, 3.6; 95% CI, 1.77 to 7.36, P=0.0001), acute or chronic kidney failure (OR, 7.1; 95% CI, 2.05 to 6.39, P<0.001), respiratory disorders (OR, 2.7; 95% CI, 1.4 to 5.2, P=0.004), and malnutrition (OR, 9.17; 95% CI, 3.43–24.5, P=0.0001). The list also include the fall risk factors (OR, 12.2; 95% CI, 4.1–36.3, P=0.0001), frailty (OR, 8.35; 95% CI, 3.4–20.6, P=0.0001), activities of daily living (OR, 8.35; 95% CI, 3.4–20.6, P=0.0001), hyponatremia (OR, 2.48; 95% CI, 1.07 to 5.75, P=0.001), hypernatremia (OR, 13.1; 95% CI, 1.67 to 2.5, P=0.001), and treatment interventions. In addition, delirium was linked to the duration of ICU admission (OR, 6.53; 95% CI, 4.5–25.5, P < 0.0001).

Conclusion

The CAM/CAM-ICU diagnostic algorithm makes it possible to diagnose delirium successfully. The present study confirmed the role of several premorbid and triggering factors in the occurrence of delirium in elderly patients in ED and ICU. There is a need for further research into risk factors for delirium in elderly patients.

Delirium and Its Pharmacological Causes in Older People, Part 1

Delirium is a syndrome that can arise from many causes or underlying conditions, and though it has been reported in younger patients, it is more prevalent in older people, though it can occur in other age groups as well. Identifying delirium is challenging in older people because of the coexistence of underlying dementia or depression, which may further complicate the presentation. Drug-induced delirium is one of the major causes of delirium, and evaluation of this potential cause or contribution is an important component of the evaluation process, since it can lead to poor patient outcomes. This article will review the epidemiology, pathophysiology, evaluation, diagnostic process, and causes of delirium in older people, with a focus on the pharmacological causes.

Cognitive Impairment and Delirium in Older Patients Undergoing Major Head and Neck Surgery

The study objective was to measure the prevalence and predictors of cognitive impairment (CI) and delirium. Adults undergoing major head and neck cancer surgery completed the Clock Draw Test to screen for CI, defined as a score of 0 or 1. Postoperative delirium was recorded. Predictors of delirium and length of stay were assessed by univariate logistic regression and the latter with multivariate linear regression. Overall 274 patients were included, of which 47% had a Clock Draw Test score of 0 or 1. Post-operative delirium occurred in 17 (6%). CI was a predictor of postoperative delirium (odds ratio, 3.9; 95% CI, 1.2-12; P = .02). Postoperative delirium was a predictor of increased length of stay (adjusted odds ratio, 1.30; 95% CI, 1.07-1.57; P = .0073) on multivariate regression while baseline Clock Draw Test result was not a predictor on univariate regression (P = .98). Screening for CI can help predict delirium and facilitate targeted interventions in the postoperative period.

Reducing Delirium in Hospitalized Adults Through a Structured Sleep Promotion Program

BACKGROUND

Delirium affects approximately 1 in 4 patients during their hospitalization and is associated with numerous complications. Sleep deprivation is a significant risk factor for developing delirium and is a patient dissatisfier.

PROBLEM

An internal assessment revealed that up to 25% of all patients on medical-surgical units had a diagnosis of delirium while in the hospital.

APPROACH

An evidence-based practice project was implemented to reduce the development of delirium through sleep promotion on 2 inpatient units. A dedicated time was selected, and key strategies were identified to promote sleep with minimal interruptions.

OUTCOMES

Delirium decreased by 33% and 45% on the 2 units over 1 year. Overall, patient satisfaction for quietness at night survey responses also increased (P = .0005; CI, 0.05 to 0.67) with ongoing sustainment.

CONCLUSIONS

Implementation of a dedicated period to sleep was associated with a reduction in delirium and increased patient satisfaction for quietness at night.

Does cognitive decline/dementia increase Delirium risk after stroke?

BACKGROUND

Delirium is a common contributor to mortality and hospital costs in stroke patients. Different observational studies have showed inconsistent results regarding the association between cognitive decline/dementia and delirium after acute stroke. Therefore, we performed this meta-analysis with the aim of determining whether cognitive decline/dementia is related to the risk of delirium after acute stroke.

METHODS

We systematically searched PubMed, Embase, Google Scholar, and Web of Science for relevant studies from inception to September 2020. We calculated the pooled odds ratio (OR) with 95% confidence interval (CI) by using fixed or random effects models based on heterogeneity measured by the I² index.

RESULTS

The association between cognitive decline/dementia and post-stroke delirium was examined in 13 studies with 3183 participants. After pooled analysis, we found that cognitive decline/dementia was significantly associated with susceptibility to delirium in post-stroke patients (OR = 3.70, 95%CI: 2.90-4.71, P < 0.001). Subgroup analysis suggested that cognitive decline/dementia was associated with an increased risk of delirium in Caucasians (OR = 3.73, 95%CI: 2.73-5.11, P < 0.001), non-Caucasians (OR = 3.65, 95%CI: 2.50-5.33, P < 0.001), samples with <200 subjects (OR = 3.70, 95%CI: 2.17-6.31, P < 0.001), samples with ≥200 subjects (OR = 3.70, 95%CI: 2.82-4.85, P < 0.001), studies published in 1990-2009 (OR = 3.17, 95%CI: 1.48-6.77, P = 0.003), and studies published in 2010-2020 (OR = 3.76, 95%CI: 2.92-4.86, P < 0.001).

CONCLUSIONS

We identified an association between cognitive decline/dementia and the risk of developing delirium. Cognitive decline/dementia may be a promising predictor for delirium in post-stroke patients.

Association of Delirium With Long-term Cognitive Decline: A Meta-analysis

Importance

Delirium is associated with increased hospital costs, health care complications, and increased mortality. Long-term consequences of delirium on cognition have not been synthesized and quantified via meta-analysis.

Objective

To determine if an episode of delirium was an independent risk factor for long-term cognitive decline, and if it was, whether it was causative or an epiphenomenon in already compromised individuals.

Data Sources

A systematic search in PubMed, Cochrane, and Embase was conducted from January 1, 1965, to December 31, 2018. A systematic review guided by Preferred Reporting Items for Systematic Reviews and Meta-analyses was conducted. Search terms included delirium AND postoperative cognitive dysfunction; delirium and cognitive decline; delirium AND dementia; and delirium AND memory.

Study Selection

Inclusion criteria for studies included contrast between groups with delirium and without delirium; an objective continuous or binary measure of cognitive outcome; a final time point of 3 or more months after the delirium episode. The electronic search was conducted according to established methodologies and was executed on October 17, 2018.

Data Extraction and Synthesis

Three authors extracted data on individual characteristics, study design, and outcome, followed by a second independent check on outcome measures. Effect sizes were calculated as Hedges g. If necessary, binary outcomes were also converted to g. Only a single effect size was calculated for each study.

Main Outcomes and Measures

The planned main outcome was magnitude of cognitive decline in Hedges g effect size in delirium groups when contrasted with groups that did not experience delirium.

Results

Of 1583 articles, data subjected from the 24 studies (including 3562 patients who experienced delirium and 6987 controls who did not) were included in a random-effects meta-analysis for pooled effect estimates and random-effects meta-regressions to identify sources of study variance. One study was excluded as an outlier. There was a significant association between delirium and long-term cognitive decline, as the estimated effect size (Hedges g) for 23 studies was 0.45 (95% CI, 0.34-0.57; P < .001). In all studies, the group that experienced delirium had worse cognition at the final time point. The I2 measure of between-study variability in g was 0.81. A multivariable meta-regression suggested that duration of follow-up (longer with larger gs), number of covariates controlled (greater numbers were associated with smaller gs), and baseline cognitive matching (matching was associated with larger gs) were significant sources of variance. More specialized subgroup and meta-regressions were consistent with predictions that suggested that delirium may be a causative factor in cognitive decline.

Conclusions and Relevance

In this meta-analysis, delirium was significantly associated with long-term cognitive decline in both surgical and nonsurgical patients.

The Effects of Propofol and Sevoflurane on Postoperative Delirium in Older Patients: A Randomized Clinical Trial Study

BACKGROUND

Postoperative delirium is associated with adverse postoperative outcomes. However, whether intravenous and inhalation anesthetics are associated with different risks of postoperative delirium remains unknown.

OBJECTIVE

We set up to determine the incidence and duration of postoperative delirium in older patients who had surgery under the intravenous anesthetic propofol or the inhalational anesthetic sevoflurane.

METHODS

Participants were patients who had total hip/knee replacements and were randomized to propofol (N = 106) or sevoflurane (N = 103) anesthesia group. The Confusion Assessment Method was employed by investigators who were blinded to the anesthesia regimen to assess the incidence and duration (days of postoperative delirium per person) of postoperative delirium on postoperative days 1, 2, and 3.

RESULTS

A total of 209 participants (71.2±6.7 years old, 29.2% male) were included in the final data analysis. The incidence of postoperative delirium was 33.0% with propofol anesthesia and 23.3% with sevoflurane anesthesia (p = 0.119, Chi-square test), and we estimated that we would need 316 participants in each arm to detect a potential statistically significant difference. Days of postoperative delirium per person were higher in the propofol (0.5±0.8) anesthesia group compared to the sevoflurane anesthesia group (0.3±0.5, p = 0.049, Student's t-test).

CONCLUSION

This pilot study established a system to compare effects of different anesthetics and generated a hypothesis that propofol trended to have a higher incidence and had longer duration of postoperative delirium than sevoflurane. Additional studies with a larger sample size are needed to test this hypothesis.

Early Detection and Intervention for Patients with Delirium Admitted to the Department of Internal Medicine: Lessons from a Pilot Initiative

Introduction

Older patients who arrive to the emergency room with delirium have a worse prognosis than others. Early detection and treatment of this problem has been shown to improve outcome. We have launched a project at our hospital to improve the care of patients who arrive delirious to the medical emergency room. The present article describes lessons that can be learned from this pilot initiative.

Methods

All patients older than 70 years admitted to the department of internal medicine were screened for delirium in the emergency room using the 4AT screening tool. Data of patients with a 4AT score ≥5 (or with incomplete score) were transferred to the geriatric unit of the hospital. On the ward, the presence of delirium was confirmed by a geriatric nurse that validated that the patient could walk with support and ordered mobilization and physiotherapy (M&P).

Results

Over the 2 and a half years (10 quarters) allocated for the pilot project, 1,078 medical patients with delirium were included in this survey. In 59.3%, the diagnosis of delirium could be confirmed only after admission. Due to budgetary constraints, only 54.7% received the allocated specific intervention − early M&P. Since it was decided that randomization was not appropriate for our initiative, we found that patients who received M&P had lower (better) 4AT scores on admission, and lower mortality. No significant difference was found between the patients who received M&P and the others in length of hospitalization and discharge to nursing homes. Retrospective comparison of the two groups did not enable to determine whether M&P was given to the patients for whom it was most effective.

Conclusions

It is often not possible to verify in the emergency room that the cognitive decline is indeed new, that is, is due to delirium, and measures must be taken to verify this point as soon as possible after admission. Due to numerous constraints, the availability of early M&P is often insufficient. Whenever resources are scarce and randomization is avoided, adequate criteria should be found for allocating existing dedicated staff to patients for whom early mobilization is likely to be most beneficial.

Perioperative dexmedetomidine administration to prevent delirium in adults after non-cardiac surgery: A systematic review and meta-analysis

STUDY OBJECTIVE

To evaluate the efficacy of perioperative dexmedetomidine (DEX) administration for preventing delirium in adults after non-cardiac surgery.

DESIGN

Systematic review and meta-analysis of randomized controlled trials (RCTs).

INTERVENTIONS

Perioperative administration of DEX to prevent delirium in adults following non-cardiac surgery.

MEASUREMENTS

The incidence of postoperative delirium (POD).

METHODS

The databases of PubMed, Embase and Cochrane Central Register were searched from inception to Mar 4, 2021 for all available RCTs that assessed DEX for POD in adults after non-cardiac surgery. Risk ratio (RR) with a 95% confidence interval (CI) was calculated for dichotomous data. Standardized mean difference (SMD) was calculated for continuous data. Risk of bias was assessed using the second version of the Cochrane risk-of-bias tool for RCTs (RoB 2.0), and the level of certainty for main outcomes were assessed by the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) methodology.

MAIN RESULTS

Thirteen studies, including the meta-analysis with a total of 4015 patients (DEX group: 2050 patients; placebo group: 1965 patients), showed that DEX significantly reduced the incidence of POD in adults after non-cardiac surgery compared with control group (RR: 0.60; 95%CI: 0.46 to 0.77, P = 0.0001, I² = 55%, GRADE = moderate). Meanwhile, there was a statistical difference by the subgroup analysis between the mean age ≥ 65 years group and the mean age<65 years group. There were no statistical differences in length of hospital stay following surgery (SMD: -0.36; 95%CI: -0.80 to 0.07, P = 0.1, I² = 97%, GRADE = low) and all-cause mortality rate (RR:0.57; 95%CI: 0.25 to 1.28, P < 0.17, I² = 0%, GRADE = moderate) compared with placebo group. However, Meta-analysis showed that DEX administration significantly resulted in intraoperative bradycardia when compared with placebo group (RR: 1.39; 95%CI: 1.14 to 1.69, P = 0.0009, I² = 0%, GRADE = high), and as well as intraoperative hypotension (RR: 1.25; 95%CI: 1.11 to 1.42, P = 0.0004, I² = 0%, GRADE = high).

CONCLUSION

This systematic review and meta-analysis suggests that perioperative administration of DEX could significantly reduce the incidence of POD in patients elder than 65 years following non-cardiac surgery. However, there was no definite evidence that perioperative DEX could reduce the incidence of POD in patients younger than 65 years of age after non-cardiac surgery. In addition, perioperative DEX administration was associated with an elevated risk of bradycardia and hypotension.

Using Concept Unique Identifiers to Filter Electronic Health Records for Delirium Cases

Delirium, an acute mental status change associated with inattention, confusion, hypervigilance, or somnolence due to a medical cause, is considered a medical emergency. Unfortunately, screening and diagnosis of delirium in acute care are often inadequate. It is estimated that 60% of delirium cases are not identified, and in claims data, they are underreported. Using information technology, we investigated whether concept unique identifiers from the Unified Language Medical System Metathesaurus could be used as a method to filter electronic health records for possible delirium cases. This article provides the reader with an overview of delirium, the Unified Language Medical System Metathesaurus, and our method for retrospectively filtering electronic health records for delirium cases from our clinical research database. Using a retrospective observational approach, we randomly selected 150 electronic health records with narrative notes containing a delirium concept unique identifier. One hundred records were used for training and 50 were used for validation and interrater reliability. Our results validate electronic health record-selected concept unique identifiers and provide insights into their use. Refinement and application of this method on a larger scale can provide an initial filter for identifying patients with delirium from the electronic health record.