Pharmacological risk factors for delirium after cardiac surgery: a review

10 key issues for prevention, monitoring and non-pharmacological treatment of delirium in critically ill patients

In intensive care units, due to critical illness nature and environment special characteristics, it is relatively common for admitted patients to develop acute confusional syndrome (ACS) or delirium. The nurse's duties are to carry out interventions that reduce the presentation of this process, which is still an important complication as it is related to longer periods of mechanical ventilation, longer ICU and hospital stays, higher mortality; both in-hospital and after discharge and grater long term cognitive dysfunction. Therefore, nurses participation is essential to prevent and treat delirium, and more specifically in the autonomous part with non-pharmacological measures such as pain control, avoid under or oversedation, promoting restful sleep and facilitating family support among other measures. The objective is to carry out an update that describes 10 key points focused on the tools for detecting/monitoring delirium and non-pharmacological measures for its prevention and treatment. Based on the review of the literature, the 10 most common interventions are described to serve as an action plan to be included in the care plans of patients affected with delirium, providing quality care to prevent and/or treat delirium in critical patients.

Exploring molecular mechanisms of postoperative delirium through multi-omics strategies in plasma exosomes

Currently, the diagnosis of delirium is solely based on clinical observation, lacking objective diagnostic tools, and the regulatory networks and pathological mechanisms behind it are not yet fully understood. Exosomes have garnered considerable interest as potential biomarkers for a variety of illnesses. This research aimed to delineate both the proteomic and metabolomic landscapes inherent to exosomes, assessing their diagnostic utility in postoperative delirium (POD) and understanding the underlying pathophysiological frameworks. Integrated analyses of proteomics and metabolomics were conducted on exosomes derived from plasma of individuals from both the non-postoperative delirium (NPOD) control group and the POD group. Subsequently, the study utilized the Connectivity Map (CMap) methodology for the identification of promising small-molecule drugs and carried out molecular docking assessments to explore the binding affinities with the enzyme MMP9 of these identified molecules. We identified significant differences in exosomal metabolites and proteins between the POD and control groups, highlighting pathways related to neuroinflammation and blood-brain barrier (BBB) integrity. Our CMap analysis identified potential small-molecule therapeutics, and molecular docking studies revealed two compounds with high affinity to MMP9, suggesting a new therapeutic avenue for POD. This study highlights MMP9, TLR2, ICAM1, S100B, and glutamate as key biomarkers in the pathophysiology of POD, emphasizing the roles of neuroinflammation and BBB integrity. Notably, molecular docking suggests mirin and orantinib as potential inhibitors targeting MMP9, providing new therapeutic avenues. The findings broaden our understanding of POD mechanisms and suggest targeted strategies for its management, reinforcing the importance of multidimensional biomarker analysis and molecular targeting in POD intervention.

A machine learning-based prediction model for postoperative delirium in cardiac valve surgery using electronic health records

BACKGROUND

Previous models for predicting delirium after cardiac surgery remained inadequate. This study aimed to develop and validate a machine learning-based prediction model for postoperative delirium (POD) in cardiac valve surgery patients.

METHODS

The electronic medical information of the cardiac surgical intensive care unit (CSICU) was extracted from a tertiary and major referral hospital in southern China over 1 year, from June 2019 to June 2020. A total of 507 patients admitted to the CSICU after cardiac valve surgery were included in this study. Seven classical machine learning algorithms (Random Forest Classifier, Logistic Regression, Support Vector Machine Classifier, K-nearest Neighbors Classifier, Gaussian Naive Bayes, Gradient Boosting Decision Tree, and Perceptron.) were used to develop delirium prediction models under full (q = 31) and selected (q = 19) feature sets, respectively.

RESULT

The Random Forest classifier performs exceptionally well in both feature datasets, with an Area Under the Curve (AUC) of 0.92 for the full feature dataset and an AUC of 0.86 for the selected feature dataset. Additionally, it achieves a relatively lower Expected Calibration Error (ECE) and the highest Average Precision (AP), with an AP of 0.80 for the full feature dataset and an AP of 0.73 for the selected feature dataset. To further evaluate the best-performing Random Forest classifier, SHAP (Shapley Additive Explanations) was used, and the importance matrix plot, scatter plots, and summary plots were generated.

CONCLUSIONS

We established machine learning-based prediction models to predict POD in patients undergoing cardiac valve surgery. The random forest model has the best predictive performance in prediction and can help improve the prognosis of patients with POD.

Delirium after Cardiac Surgery-A Narrative Review

Postoperative delirium (POD) after cardiac surgery is a well-known phenomenon which carries a higher risk of morbidity and mortality. Multiple patient-specific risk factors and pathophysiologic mechanisms have been identified and therapies have been proposed to mitigate risk of delirium development postoperatively. Notably, cardiac surgery frequently involves the use of an intraoperative cardiopulmonary bypass (CPB), which may contribute to the mechanisms responsible for POD. Despite our greater understanding of these causative factors, a substantial reduction in the incidence of POD remains high among cardiac surgical patients. Multiple therapeutic interventions have been implemented intraoperatively and postoperatively, many with conflicting results. This review article will highlight the incidence and impact of POD in cardiac surgical patients. It will describe some of the primary risk factors associated with POD, as well as anesthetic management and therapies postoperatively that may help to reduce delirium.

Postoperative delirium: identifying the patient at risk and altering the course: A narrative review

Postoperative delirium (POD) is a common neurocognitive syndrome seen in older patients after major surgery. POD is linked to longer stays in hospital and intensive care, a greater incidence of postoperative complications, worse functional outcome, and higher mortality. Researchers have not yet fully elucidated the exact pathophysiology of POD. Several risk factors that contribute to the development of POD have been identified, such as advanced age, cardiac or hip surgery, preoperative cognitive decline or delirium, disturbances in brain levels of neurotransmitters and information processing, oxidative stress and neuro-inflammation. Identifying patients at risk for POD enables a more precise and efficient allocation of medical resources and facilitates POD prevention and management. The present review addresses how to identify patients at risk of POD and summarizes the currently available evidence and best-practice recommendations for peri-operative management and prevention of POD.

Effects of inflammation and oxidative stress on postoperative delirium in cardiac surgery

The past decade has witnessed unprecedented medical progress, which has translated into cardiac surgery being increasingly common and safe. However, complications such as postoperative delirium remain a major concern. Although the pathophysiological changes of delirium after cardiac surgery remain poorly understood, it is widely thought that inflammation and oxidative stress may be potential triggers of delirium. The development of delirium following cardiac surgery is associated with perioperative risk factors. Multiple interventions are being explored to prevent and treat delirium. Therefore, research on the potential role of biomarkers in delirium as well as identification of perioperative risk factors and pharmacological interventions are necessary to mitigate the development of delirium.

Processed Electroencephalographic Use During Anesthesia and Outcomes: Analysis of The Society of Thoracic Surgeons Adult Cardiac Surgery Database

BACKGROUND

This study assessed associations between processed electroencephalographic (pEEG) use during anesthesia, surgery- and anesthesia-related risk factors, and neurologic outcomes and mortality after cardiac surgery.

METHODS

Drawing from The Society of Thoracic Surgeons Adult Cardiac Surgery Database and its Adult Cardiac Anesthesiology Section, we identified 42 932 records for elective, urgent, and emergency cardiac surgical procedures between July 1, 2017 and December 31, 2019. Using propensity score-weighted regression analysis, we analyzed the associations between pEEG use during anesthesia on the primary outcome, postoperative delirium (POD), and secondary outcomes of stroke, encephalopathy, coma, and operative mortality.

RESULTS

The rate of pEEG use during anesthesia use was 32.8% (n = 14 086), and its use was not associated with decreased odds for POD (odds ratio [OR], 0.88; 95% CI, 0.78-1.02) or encephalopathy (OR, 0.85; 95% CI, 0.70-1.03). Intraoperative pEEG monitoring use was also not associated with increased odds for stroke (OR, 1.17; 95% CI, 0.97-1.42) or coma (OR, 1.44; 95% CI, 0.82-2.52). In contrast, pEEG use during anesthesia was associated with higher odds for operative mortality (OR, 1.23; 95% CI, 1.05-1.44). This association remained significant after adjusting for POD (OR, 1.21; 95% CI, 1.03-1.41), stroke (OR, 1.21; 95% CI, 1.04-1.42), and encephalopathy (OR, 1.28; 95% CI, 1.07-1.52).

CONCLUSIONS

This large retrospective database study found no association between pEEG use during cardiac surgery and postoperative neurologic outcomes such as POD, stroke, encephalopathy, or coma. However, patients who underwent pEEG monitoring during anesthesia experienced higher mortality, even after adjustment for neurologic outcomes.

Intraoperative Glycemic Variability and Mean Glucose are Predictors for Postoperative Delirium After Cardiac Surgery: A Retrospective Cohort Study

Purpose

Postoperative delirium (POD) is a common but serious complication after cardiac surgery and is associated with various short- and long-term outcomes. In this study, we investigated the effects of intraoperative glycemic variability (GV) and other glycemic variables on POD after cardiac surgery.

Patients and Methods

A retrospective single-center cohort analysis was conducted using data from electronic medical record from 2018 to 2020. A total of 705 patients undergoing coronary artery bypass graft surgery and/or valve surgery, and/or aortic replacement surgery were included in the analysis. Intraoperative GV was assessed with a coefficient of variation (CV), which was defined as the standard deviation of five intraoperative blood glucose measurements divided by the mean. POD assessment was performed three times a day in the ICU and twice a day in the ward until discharge by trained medical staff. POD was diagnosed if any of the Confusion Assessment Method for the Intensive Care Unit was positive in the ICU, and the Confusion Assessment Method was positive in the ward. Multivariable logistic regression was used to identify associations between intraoperative GV and POD.

Results

POD occurred in 306 (43.4%) patients. When intraoperative glycemic CV was compared as a continuous variable, the delirium group had higher intraoperative glycemic CV than the non-delirium group (22.59 [17.09, 29.68] vs 18.19 [13.00, 23.35], p < 0.001), and when intraoperative glycemic CV was classified as quartiles, the incidence of POD increased as intraoperative glycemic CV quartiles increased (first quartile 29.89%; second quartile 36.67%; third quartile 44.63%; and fourth quartile 62.64%, p < 0.001). In the multivariable logistic regression model, patients in the third quartile of intraoperative glycemic CV were 1.833 times (OR 1.833, 95% CI: 1.132–2.967, p = 0.014), and patients in the fourth quartile of intraoperative glycemic CV were 3.645 times (OR 3.645, 95% CI: 2.235–5.944, p < 0.001) more likely to develop POD than those in the first quartile of intraoperative glycemic CV.

Conclusion

Intraoperative blood glucose fluctuation, manifested by intraoperative GV, is associated with POD after cardiac surgery. Patients with a higher intraoperative GV have an increased risk of POD.

Prevention of postoperative delirium after cardiovascular surgery: A team-based approach

OBJECTIVE

We investigated the efficacy of the Delirium Team Approach program for delirium prevention after cardiovascular surgery.

METHODS

We retrospectively investigated 256 patients who underwent cardiac or thoracic vascular surgery between May 2017 and May 2020. We compared the outcomes before and after implementation of the Delirium Team Approach program in December 2018. The program included the following components: (a) educational sessions for the medical team regarding delirium and its management, (b) review of preprinted physician orders for insomnia and agitation, and (c) routine screening for delirium. We investigated the early outcomes and effects of the Delirium Team Approach program on postoperative delirium.

RESULTS

The incidence of postoperative delirium significantly decreased from 53.3% to 37.0% after implementation of the Delirium Team Approach program (P = .008). Although no intergroup differences were observed in the rates of stroke and reexploration for bleeding, the length of intensive care unit stay and the overall length of postoperative hospital stay were shorter in the postintervention group. Hospital costs, excluding surgery, and the cost during intensive care unit stay were lower in the postintervention group. Multivariable analysis showed that the Delirium Team Approach program was associated with a reduction in postoperative delirium (odds ratio, 0.38; 95% confidence interval, 0.21-0.67; P = .001). Other predictors of delirium included age, dementia, chronic kidney disease, and intubation time. After risk adjustment using propensity score matching, the rate of postoperative delirium was lower in the postintervention group.

CONCLUSIONS

Implementation of the Delirium Team Approach program was associated with a lower incidence of postoperative delirium in patients who underwent cardiovascular surgery.

Practical Strategies Using Medical Cannabis to Reduce Harms Associated With Long Term Opioid Use in Chronic Pain

Background: Chronic non-cancer pain (CNCP) is estimated to affect 20% of the adult population. Current United States and Canadian Chronic non-cancer pain guidelines recommend careful reassessment of the risk-benefit ratio for doses greater than 90 mg morphine equivalent dose (MED), due to low evidence for improved pain efficacy at higher morphine equivalent dose and a significant increase in morbidity and mortality. There are a number of human studies demonstrating cannabis opioid synergy. This preliminary evidence suggests a potential role of cannabis as an adjunctive therapy with or without opioids to optimize pain control.

Methods: In 2017, the Canadian Opioid Guidelines Clinical Tool was created to encourage judicious opioid prescribing for CNCP patients and to reevaluate those who have been chronically using high MED. Mirroring this approach, we draw on our clinical experiences and available evidence to create a clinical tool to serve as a foundational clinical guideline for the initiation of medical cannabis in the management of CNCP patients using chronic opioid therapy.

Findings: Following principles of harm reduction and risk minimization, we suggest cannabis be introduced in appropriately selected CNCP patients, using a stepwise approach, with the intent of pain management optimization. We use a structured approach to focus on low dose cannabis (namely, THC) initiation, slow titration, dose optimization and frequent monitoring.

Conclusion: When low dose THC is introduced as an adjunctive therapy, we observe better pain control clinically with lower doses of opioids, improved pain related outcomes and reduced opioid related harm.

Delirium in Cardiac and Cardiovascular Surgical Intensive Care Units

Delirium is a common occurrence in cardiac and cardiovascular surgical intensive care units. Due to multiple confounding factors, this diagnosis remains challenging for medical professionals. Multiple theories exist regarding the pathophysiology of delirium, which include disruption of neurotransmitters as well as inflammation. Delirium has been associated with prolonged hospitalizations and an increase in mortality. Although there are widely used screening tools for delirium, none have been validated in this particular patient population. Limited treatments exist for delirium, so: both pharmacologic and nonpharmacologic preventative measures should be employed in this patient population.

Duration of Neurocognitive Impairment With Medical Cannabis Use: A Scoping Review

While the recreational use of cannabis has well-established dose-dependent effects on neurocognitive and psychomotor functioning, there is little consensus on the degree and duration of impairment typically seen with medical marijuana use. Compared to recreational cannabis users, medical cannabis patients have distinct characteristics that may modify the presence and extent of impairment. The goal of this review was to determine the duration of acute neurocognitive impairment associated with medical cannabis use, and to identify differences between medical cannabis patients and recreational users. These findings are used to gain insight on how medical professionals can best advise medical cannabis patients with regards to automobile driving or safety-sensitive tasks at work. A systematic electronic search for English language randomized controlled trials (RCTs), clinical trials and systematic reviews (in order to capture any potentially missed RCTs) between 2000 and 2019 was conducted through Ovid MEDLINE and EMBASE electronic databases using MeSH terms. Articles were limited to medical cannabis patients using cannabis for chronic non-cancer pain or spasticity. After screening titles and abstracts, 37 relevant studies were subjected to full-text review. Overall, seven controlled trials met the inclusion/exclusion criteria and were included in the qualitative synthesis: six RCTs and one observational clinical trial. Neurocognitive testing varied significantly between all studies, including the specific tests administered and the timing of assessments post-cannabis consumption. In general, cognitive performance declined mostly in a THC dose-dependent manner, with steady resolution of impairment in the hours following THC administration. Doses of THC were lower than those typically reported in recreational cannabis studies. In all the studies, there was no difference between any of the THC groups and placebo on any neurocognitive measure after 4 h of recovery. Variability in the dose-dependent relationship raises the consideration that there are other important factors contributing to the duration of neurocognitive impairment besides the dose of THC ingested. These modifiable and non-modifiable factors are individually discussed.

Delirio en niños críticamente enfermos

El delirio en pacientes críticos es una condición médica que afecta tanto a adultos como a niños; en ambas poblaciones implica graves complicaciones como estancia hospitalaria prolongada, alto riesgo de muerte y deterioro cognitivo a largo plazo, así como mayores costos económicos en cuanto a la prestación de servicios de salud. La principal dificultad de esta condición en la población pediátrica es su adecuado reconocimiento, ya que puede presentarse en edades muy tempranas, incluso en niños lactantes, cuando sus signos y síntomas pueden confundirse o superponerse con otras patologías, tales como el síndrome de abstinencia. En consecuencia, en estos casos el uso de herramientas diagnósticas puede ser una labor compleja que implica múltiples dificultades.Antes de 2011 no había muchos estudios que abordaran la evaluación del delirio en niños. Sin embargo, ese mismo año se estableció la primera escala desarrollada específicamente para el monitoreo de pacientes en unidades de cuidado intensivo pediátrico, lo que llevó a un aumento significativos del número de casos de delirio en niños menores de 5 años críticamente enfermos; esta situación hizo que los pediatras se interesaran más en estudiar esta importante patología.La presente reflexión, basada en una revisión de la literatura, busca actualizar el amplio espectro fisiopatológico del delirio en niños críticamente enfermos y, de esta forma, mejorar su tamizaje, diagnóstico e intervenciones terapéuticas tempranas en todas las edades pediátricas, incluso en menores de 5 años.

Neurological dysfunction after cardiac surgery and cardiac intensive care admission: A narrative review part 1: The problem; nomenclature; delirium and postoperative neurocognitive disorder; and the role of cardiac surgery and anesthesia

The association with cardiac surgery with cognitive decline was first reported in the 1960s after the introduction of coronary artery surgery. The incidence in cognitive decline was thought to be more after cardiac surgery, especially with the use of the cardiopulmonary bypass. Anesthesia and surgery are both associated with cognitive decline but many other factors appear to contribute its genesis. On-pump surgery, microembolization during manipulation of the heart and great vessels, temperature changes, pH changes, and altered cerebral perfusion, during cardiac surgery, have all been blamed for this. Postoperative cognitive decline is associated with poor clinical outcomes and higher mortality. Several studies have been conducted in the last decade to determine the genesis of this malady. Current evidence is absolving cardiac surgery and anesthesia to be the primary causes per se of cognitive dysfunction.

Delirium after cardiac surgery. Incidence, phenotypes, predisposing and precipitating risk factors, and effects

BACKGROUND

In cardiac surgical patients little is known about different phenotypes of delirium and how the symptoms fluctuate over time.

OBJECTIVES

Evaluate risk factors, incidence, fluctuations, phenotypic characteristics and impact on patients' outcomes of delirium.

METHODS

Prospective longitudinal study. In postoperative intensive care unit 199 patient were assessed three-times a day through an adapted versions of the Intensive Care Delirium Screening Checklist.

RESULTS

Delirium and subsyndromal delirium incidence were 30.7% and 31.2%, respectively. Delirium manifested mostly in the hypoactive form and showed a fluctuating trend for several days. Atrial fibrillation, benzodiazepine/opioids dosages, hearing impairment, extracorporeal circulation length, SAPS-II and mean arterial pressure were independent predictors for delirium. Delirium was a statistically significant predictor of chemical/physical restraint use and hospital length of stay.

CONCLUSIONS

Given the fluctuating and phenotypic characteristics, delirium screening should be a systematic/intentional activity. Multidisciplinary prevention strategies should be implemented to identify and treat the modifiable risk factors.

Perioperative prediction of agitated (hyperactive) delirium after cardiac surgery in adults - The development of a practical scorecard

BACKGROUND

Delirium is a temporary mental disorder that occurs frequently among hospitalized patients. In this study we sought to develop a user-friendly scorecard based on perioperative features to identify patients at risk of developing agitated delirium after cardiac surgery.

METHODS

Retrospective analysis was performed on adult patients undergoing cardiac surgery in a single center. A parsimonious predictive model was created, with subsequent internal validation. Then a simple scorecard was developed that can be used to predict the probability of agitated delirium.

RESULTS

Among the 5584 patients who met the study criteria, 614 (11.4%) developed postoperative agitated delirium. Independent predictors of postoperative agitated delirium were age, male gender, history of cerebrovascular disease, procedure other than isolated Coronary Arteries Bypass Surgery, transfusion of blood products within the first 48h, mechanical ventilation for >24h, length of stay in the Intensive Care Unit. The scorecard stratified patients into 4 categories at risk of postoperative agitated delirium ranging from <5% to >30%.

CONCLUSION

Using a large cohort of adult patient's undergoing cardiac surgery, a user-friendly scorecard was developed and validated, which will facilitate the implementation of timely interventions to mitigate adverse effects of agitated delirium in this high risk population.

Characterizing and predicting rates of delirium across general hospital settings

OBJECTIVE

To better understand variation in reported rates of delirium, this study characterized delirium occurrence rate by department of service and primary admitting diagnosis.

METHOD

Nine consecutive years (2005-2013) of general hospital admissions (N=831,348) were identified across two academic medical centers using electronic health records. The primary admitting diagnosis and the treating clinical department were used to calculate occurrence rates of a previously published delirium definition composed of billing codes and natural language processing of discharge summaries.

RESULTS

Delirium rates varied significantly across both admitting diagnosis group (X²₁₀=12786, p<0.001) and department of care (X²₆=12106, p<0.001). In both cases obstetrical admissions showed the lowest incidences of delirium (86/109764; 0.08%) and neurological admissions the greatest (2851/25450; 11.2%). Although the rate of delirium varied across the two hospitals the relative rates within departments (r=0.96, p<0.001) and diagnostic categories (r=0.98, p<0.001) were consistent across the two institutions.

CONCLUSIONS

The frequency of delirium varies significantly across admitting diagnosis and hospital department. Both admitting diagnosis and department of care are even stronger predictors of risk than age; as such, simple risk stratification may offer avenues for targeted prevention and treatment efforts.

Role of statins in delirium prevention in critical ill and cardiac surgery patients: A systematic review and meta-analysis

BACKGROUND

The data evaluating the role of statins in delirium prevention in the intensive care unit are conflicting and limited.

METHODS

We performed a systematic review and meta-analysis of literature from 1975 to 2015. All English-language adult studies evaluating delirium incidence in statin and statin nonusers were included and studies without a control group were excluded. Mantel-Haenszel model was used to calculate pooled risk ratios (RRs) and 95% confidence intervals (CIs). Statistical significance was defined as CI not including unity and P value less than .05.

RESULTS

Of a total 57 identified studies, 6 were included. The studies showed high heterogeneity (I² = 73%) for all and moderate for cardiac surgery studies (I² = 55%). Of 289 773 patients, statins were used in 22 292 (7.7%). Cardiac surgery was performed in 4382 (1.5%) patients and 2321 (53.0%) used statins. Delirium was noted in 710 (3.2%) and 3478 (1.3%) of the patients in the statin and nonstatin groups, respectively, with no difference between groups in the total cohort (RR, 1.05 [95% CI, 0.85-1.29]; P = .56) or in cardiac surgery patients (RR, 1.03 [95% CI, 0.68-1.56]; P = .89).

CONCLUSIONS

In critically ill and cardiac surgery patients, this meta-analysis did not show a benefit with statin therapy in the prevention of delirium.

Predicting, preventing, and identifying delirium after cardiac surgery

Delirium after cardiac surgery is a major problem. The exact mechanisms behind delirium are not understood. Potential pathways of delirium include neurotransmitter interference, global cognitive disorder, and neuroinflammation. Several predisposing and precipitating risk factors have been identified for postoperative delirium. The development of delirium following cardiac surgery is associated with worse outcomes in the perioperative period. Multiple interventions are being explored for the prevention and treatment of delirium. Studies investigating the potential roles of biomarkers in delirium as well as pharmacological interventions to reduce the incidence and duration of delirium are necessary to mitigate this negative outcome.

Current approach to diagnosis and treatment of delirium after cardiac surgery

Delirium after cardiac surgery remains a common occurrence that results in significant short- and long-term morbidity and mortality. It continues to be underdiagnosed given its complex presentation and multifactorial etiology; however, its prevalence is increasing given the aging cardiac surgical population. This review highlights the perioperative risk factors, tools to assist in diagnosing delirium, and current pharmacological and nonpharmacological therapy options.

The major risk factors for delirium in a clinical setting

OBJECTIVE

We aimed to determine the major risk factors for the development of delirium in patients at a single general hospital by comparison with a control group.

SUBJECTS AND METHODS

We reviewed the medical records of 260 delirium patients and 77 control patients. We investigated age, sex, and risk factors for delirium in the total delirium group (n=260), the delirium medical subgroup (n=142), and the delirium surgical subgroup (n=118). Logistic regression analysis adjusting for age and sex was performed to identify the odds ratio.

RESULTS

The mean age and the percentage of males were significantly higher in the delirium group compared with the control group (68.9 vs 54.3 years and 70% vs 41.6%, respectively). Risk factors for the delirium group were lower plasma albumin, hypertension, mechanical ventilation, and antipsychotic drug use. Plasma sodium level and hypertension were important risk factors for the delirium medical subgroup. Stroke history, hypertension, ICU care, and medication were important risk factors for the delirium surgical subgroup.

CONCLUSION

Lower plasma albumin, hypertension, mechanical ventilation, and antipsychotic drug use are important risk factors for delirium.

Pharmacologic agents for the prevention and treatment of delirium in patients undergoing cardiac surgery: systematic review and metaanalysis

OBJECTIVES

Postcardiac surgery delirium is associated with increased risks of morbidity, cognitive decline, poor health-related quality of life and mortality, and higher healthcare costs. We performed a systematic review of randomized controlled trials to examine the effect of pharmacologic agents for the prevention and the treatment of delirium after cardiac surgery.

DATA SOURCES

Electronic search on PubMed, Medline, Embase, Cochrane Central Register of Controlled Trials, ISI Web of Science, and CINAHL up to December 2013.

STUDY SELECTION

Randomized controlled trials of pharmacologic agents used for the prevention and the treatment of delirium after emergency or elective cardiac surgery in adults.

DATA EXTRACTION

We extracted data on patient population, pharmacologic agents, delirium characteristics, rescue treatment, length of stays in the ICU and hospital, and mortality. For each trial, we assessed the risk of bias domains and rated the quality of evidence using the Grading of Recommendations Assessment, Development and Evaluation approach.

DATA SYNTHESIS

Of the 13 studies (10 prevention and three treatment) involving 5,848 patients, one multicentered randomized controlled trial on prophylactic dexamethasone made up 77% of the total sample size. The use of pharmacologic agents (dexamethasone, rivastigmine, risperidone, ketamine, dexmedetomidine, propofol, and clonidine) reduced the risk of delirium (relative risk, 0.57; 95% CI, 0.40-0.80) with quality of evidence rated as moderate. There was high quality of evidence for no increased risk of mortality (relative risk, 0.89; 95% CI, 0.57-1.38) associated with the use of prophylactic pharmacologic agents. Metaanalysis of treatment trials was not undertaken because of high heterogeneity. In two small trials (total number of patients = 133), haloperidol did not appear to be effective in treating delirium.

CONCLUSIONS

Moderate to high-quality evidence supports the use of pharmacologic agents for the prevention of delirium, but results are based largely on one randomized controlled trial. The evidence for treating postcardiac surgery delirium with pharmacologic agents is inconclusive.

Recent progress in research of postoperative delirium after abdominal surgery

Postoperative delirium (POD) is a common acute cerebral syndrome after abdominal surgery, with disturbance of consciousness, cognition and attention as the main clinical manifestations, found mostly in elderly male patients. POD often increases mortality dramatically and prolongs the length of hospital stay. There are many factors responsible for the occurrence of POD, such as age, underlying diseases and antipsychotic drugs. Due to the complex onset of the disease, multicomponent intervention strategies have been recommended and proved effective. In contrast, there has been no evidence that pharmacological prevention or therapy could reduce the incidence or shorten the duration of POD. This paper reviews the recent progress in research of postoperative delirium after abdominal surgery with regards to its mechanism, risk factors, prevention and treatment.

Postoperative delirium following transcatheter aortic valve implantation: a historical cohort study

PURPOSE

Transcatheter aortic valve implantation (TAVI) techniques show favourable survival outcomes in high-risk patients, but the incidence of postoperative delirium is unknown. We conducted a historical cohort study to compare postoperative delirium in retrograde transfemoral (TF) versus anterograde transapical (TA) TAVI procedures. We also sought to identify independent predictors of delirium following TAVI.

METHODS

We performed a retrospective chart review on all patients who underwent TF (n = 77) or TA (n = 45) TAVI during 2008 and 2009 at St. Paul's Hospital (Vancouver, BC, Canada), the pioneering centre for these procedures. The primary outcome was a documented physician diagnosis of delirium. Abstracted data included information on demographics, medical history, surgical procedure, anesthesia, and postoperative care. We employed a multivariable logistic regression to identify independent predictors of delirium.

RESULTS

Delirium occurred in 12% of TF patients vs 53% of TA patients (P < 0.001). Preoperatively, the groups differed significantly in the rates of hypertension, pulmonary hypertension, dyslipidemia, peripheral vascular disease, congestive heart failure, previous myocardial infarction, and memory impairment. Differences in anesthetic management were also observed between the TF vs TA groups regarding inhalational anesthetics, opioids, neuromuscular blockers, antihemorrhagic drugs, and antibiotics. Independent predictors for delirium after TAVI included coronary artery disease (odds ratio [OR] 12.7; 95% confidence interval [CI] 1.0 to 154.9), cognitive impairment (OR 6.5; 95% CI 1.8 to 23.2), and cardiac arrhythmia (OR 3.5; 95% CI 1.1 to 11.6). Compared to the TF approach, TA-TAVI independently increased the risk of delirium (OR 13.8; 95% CI 3.3 to 59.0).

CONCLUSIONS

Patients undergoing TA-TAVI had a markedly increased incidence of postoperative delirium compared with patients undergoing TF-TAVI.