High Risk For Delirium Research Articles

Prophylactic Haloperidol Effects on Long-term Quality of Life in Critically Ill Patients at High Risk for Delirium: Results of the REDUCE Study.

Delirium incidence in intensive care unit patients is high and associated with impaired long-term outcomes. The use of prophylactic haloperidol did not improve short-term outcome among critically ill adults at high risk of delirium. This study evaluated the effects of prophylactic haloperidol use on long-term quality of life in this group of patients and explored which factors are associated with change in quality of life. A preplanned secondary analysis of long-term outcomes of the pRophylactic haloperidol usE for DeliriUm in iCu patients at high risk for dElirium (REDUCE) study was conducted. In this multicenter randomized clinical trial, nondelirious intensive care unit patients were assigned to prophylactic haloperidol (1 or 2 mg) or placebo (0.9% sodium chloride). In all groups, patients finally received study medication for median duration of 3 days [interquartile range, 2 to 6] until onset of delirium or until intensive care unit discharge. Long-term outcomes were assessed using the Short Form-12 questionnaire at intensive care unit admission (baseline) and after 1 and 6 months. Quality of life was summarized in the physical component summary and mental component summary scores. Differences between the haloperidol and placebo group and factors associated with changes in quality of life were analyzed. Of 1,789 study patients, 1,245 intensive care unit patients were approached, of which 887 (71%) responded. Long-term quality of life did not differ between the haloperidol and placebo group (physical component summary mean score of 39 ± 11 and 39 ± 11, respectively, and P = 0.350; and mental component summary score of 50 ± 10 and 51 ± 10, respectively, and P = 0.678). Age, medical and trauma admission, quality of life score at baseline, risk for delirium (PRE-DELIRIC) score, and the number of sedation-induced coma days were significantly associated with a decline in long-term quality of life. Prophylactic haloperidol use does not affect long-term quality of life in critically ill patients at high risk for delirium. Several factors, including the modifiable factor number of sedation-induced coma days, are associated with decline in long-term outcomes.

This Month in Anesthesiology.

This Month in Anesthesiology.

Schmerzbehandlung bei Menschen mit Demenz

The causes of pain must always be clarified, as long as it can be justified. In dementia the placebo effect can be lacking. A treatment on demand is difficult to implement. Correctly applied nonmedicinal treatment has few unwanted effects but mostly needs constant support by personnel. Medications with anticholinergic effects should be used with caution due to the high risk of delirium and falling. With analgesics and coanalgesics the principles of geriatric treatment must also be adhered to: start low, go slow. Complaints that can be triggered by analgesics or coanalgesics should be recorded before starting treatment. Education and clarification by therapists are given priority. Multimorbidity and polypharmacy restrict the analgesic treatment. Strategies of self-efficacy and other psychological procedures have limited implementation. The course of treatment is difficult to monitor.

Delirium research, education and practice.

Delirium research and clinical care have seen great strides in the last decade. Age and Ageing is making freely available an online collection of 15 papers published since 2012 which provides an overview of the range of research in delirium. It covers prevention and prediction, interventions and their health economic evaluations, outcomes following delirium, and clinical application in a review of the recent SIGN guidelines. The majority of studies took place in hospitals, but we also introduce some important research about another group at high risk of delirium: care home residents. We highlight the importance of delirium education. The studies comprised a range of methodologies (systematic reviews/meta-analysis, observational studies, trials and qualitative research). The selected papers are exemplars of work that has clear clinical implications. Given that delirium affects 15-20% of hospital patients, studies or analysis of existing data with clinical relevance have the potential for enormous impact on practice and on more efficient use of healthcare resources. There is, however, still a great deal of work to be done to implement what is known to be effective, and so reduce the incidence of this distressing condition, and to support those affected: not only patients, but also families and carers, as well as staff in secondary and primary care, including care homes.

Interventions for preventing delirium in older people in institutional long-term care.

Interventions for preventing delirium in older people in institutional long-term care.

Determining Interrater Reliability of the Cornell Assessment of Pediatric Delirium Screening Tool Among PICU Nurses.

To determine the interrater reliability of the Cornell Assessment of Pediatric Delirium Screening Tool amount PICU nurses. The design was setup as a cross-sectional study and conducted over the course of a year. This study setting was a PICU and a pediatric cardiac ICU at Seattle Children's Hospital, a tertiary freestanding university-affiliated hospital in Seattle, Washington. A total sample of 108 patients were included in this study. Patients were selected using a convenience sample. Inclusion in this study involved all patients eligible for a Cornell Assessment of Pediatric Delirium assessment, reflecting practice standards. Exclusion criteria included patients who had a Richmond Agitation and Sedation Score of (-4) or (-5), based on the Cornell Assessment of Pediatric Delirium procedure. There were 113 patients screened, but five were excluded from the final sample size due to missing information. The research nurse would screen the patient using the Cornell Assessment of Pediatric Delirium during the 12:00 noon hour, which coincided with the clinical nurse Cornell Assessment of Pediatric Delirium assessment. The clinical and research nurse were kept blind to each other's assessment. Scores were then analyzed to determine the kappa coefficient. The kappa coefficient between nurses was found to be 0.60 (95% CI, 0.44-0.76), indicating moderate agreement. Age was found to have a higher association with agreement. In children 2 years old or greater, the kappa coefficient was 0.85 (95% CI, 0.68-1.00). Children whose raters did not agree on scoring were more likely to be younger than those who had raters that agreed (p < 0.01). Evaluating the interrater reliability of clinical tool, such as the Cornell Assessment of Pediatric Delirium, may be important to more accurately identify patients at high risk of delirium in a PICU or pediatric cardiac ICU. The evaluation of the tool's performance in practice may also be helpful to ensure ongoing consistency among the clinical nurses that complete these assessments on a daily basis.

Delirium after primary percutaneous coronary intervention in aged individuals with acute ST-segment elevation myocardial infarction: A retrospective study.

The present prospective study aimed to investigate the incidence and risk factors of delirium after primary percutaneous coronary intervention (PCI) in older adults with acute ST-segment elevation myocardial infarction (STEMI). A total of 111 patients (age, ≥65 years) with acute STEMI following primary PCI were included in the present study. Neurocognitive testing was performed using the Mini-mental State Examination on the first day of hospitalization. Post-operative delirium was assessed using the Confusion Assessment Method for the Intensive Care Unit within the first four post-operative days. A total of 32 patients (28.8%) developed delirium after primary PCI. The independent predictors of delirium were older age [odds ratio (OR)=1.192, 95% confidence interval (CI)=1.07-1.328, P=0.001], living alone (OR=4.827, 95% CI=1.315-17.725, P=0.018), history of alcohol abuse (OR=3.875, 95% CI=1.168-12.857, P=0.026), longer duration of primary PCI (OR=1.152, 95% CI=1.077-1.232, P<0.001) and post-operative pain (current pain; OR=7.663, 95% CI=1.432-41.02, P=0.017). Compared to the patients without delirium, the participants who developed delirium had longer hospital stays and a higher rate of re-admission within 30 days after discharge. The mortality within one year after discharge (one-year mortality) was similar between patients with and without delirium. In conclusion, older patients (age, ≥65 years) with acute STEMI are at a relatively high risk of delirium following primary PCI. Higher age (≥65 years), living alone, history of alcohol dependence, longer length of primary PCI (>50 min) and post-operative pain (current pain) were determined to be risk factors for delirium after primary PCI in the present cohort.

The Incidence of Recorded Delirium Episodes Before and After Dementia Diagnosis: Differences Between Dementia With Lewy Bodies and Alzheimer's Disease

ObjectivesTo describe the incidence of delirium recording before and after a diagnosis of dementia is established in patients with dementia with Lewy bodies (DLB) and compare findings to a matched cohort of patients with Alzheimer's disease (AD). DesignRetrospective cohort study. Setting and participantsA cohort of patients with dementia from a large mental health and dementia care database in South London, linked to hospitalization and mortality data. We identified 194 patients with DLB and 1:4 matched these with 776 patients diagnosed with AD on age, gender, and cognitive status. MeasuresWe identified delirium episodes recorded in mental health and hospital records from 1 year before to 1 year after dementia diagnosis. Using dementia diagnosis as an index date we additionally followed patients until first episode of delirium, death or a censoring point without restricting the observation period. ResultsPatients with DLB had significantly more episodes of delirium recorded in the year before dementia diagnosis than patients with AD (incidence rate 17.6 vs 3.2 per 100 person-years; P < .001). Whereas the incidence of recording of delirium episodes reduced substantially in patients with DLB after dementia diagnosis, it remained significantly higher than in patients with AD (incidence rate 6.2 vs 2.3 per 100 person-years; P = .032). Cox regression models indicate that patients with DLB remain at a higher risk of delirium than patients with AD after a dementia diagnosis. Conclusions/RelevanceEstablishing a diagnosis of dementia reduces episodes classified as delirium in patients with DLB and might lead to fewer potentially harmful interventions such as hospitalization or use of antipsychotic medication.

Effect of haloperidol on survival among critically ill adults with a high risk of delirium: The REDUCE randomised controlled trial

Effect of haloperidol on survival among critically ill adults with a high risk of delirium: The REDUCE randomised controlled trial

Frailty Assessment to Help Predict Patients at Risk of Delirium When Consulting the Emergency Department

BackgroundDelirium is underdiagnosed in seniors at emergency departments (EDs) even though it is a frequent complication and is associated with functional and cognitive decline. As frailty is an independent predictor of adverse events in seniors, screening for frailty in EDs may help identify those at risk of delirium. ObjectivesTo assess if screening older patients for frailty in EDs could help identify those at risk of delirium. MethodologyThis study was part of the multicenter prospective cohort INDEED study. Patients aged ≥ 65 years, initially free of delirium, with an ED stay ≥ 8 h were followed up to 24 h after ward admission. Frailty was assessed at baseline using the Clinical Frailty Scale; seniors with a score ≥ 5/7 were considered frail. Their delirium status was assessed twice daily using the Confusion Assessment Method. ResultsAmong the 335 included patients, delirium occurred in 20/70 frail (28.6%) patients and in 20/265 (7.6%) robust ones. After adjusting for age and sex, the risk of delirium during ED stay was 3.13 (95% confidence interval 1.60–6.21) times higher in frail than in robust patients. Time between arrival to the ED and the incidence of delirium was also shorter for frail patients than for the robust ones (adjusted hazard ratio 2.44, 95% confidence interval 1.26–4.74). ConclusionIncreased frailty is associated with increased delirium during ED stays. Screening for frailty at emergency triage could help ED professionals identify seniors at higher risk of delirium.

Predictors of Delirium Development in Older Medical Inpatients: Readily Identifiable Factors at Admission.

Identifying patients at high risk of delirium is crucial to facilitate prevention. Although dementia is the most consistent risk factor across populations, it remains under-diagnosed. Hence understanding other markers of delirium vulnerability on admission is important. We aimed to identify predictors of incident delirium development in older medical inpatients that were readily identifiable at presentation to the emergency department. Medical inpatients of ≥70 years were assessed on admission for delirium using the Revised Delirium Rating Scale (DRS-R98) and those with prevalent delirium were excluded. Consenting non-delirious patients were then assessed daily using the DRS-R98. Data pertaining to multiple baseline delirium risk factors were collected, including pre-morbid dementia. Multivariable logistic regression was used to examine which factors predicted the development of incident delirium. Of 555 patients approached, 184 (33.1%) had prevalent delirium. Following other exclusions, 191 were included in the study and 61 developed incident delirium. Predictors of incident delirium on multivariable analysis, controlling for confounders, were dementia (OR 2.54, 95% CI 1.01-6.43, p = 0.048); Barthel Index score (OR 1.15 for each unit decrease in score, 95% CI 1.06-1.25, p = 0.001), and Modified Cumulative Illness Rating Scale score (OR 1.13 for each unit increase in score, 95% CI 1.05-1.22, p = 0.001). Dementia is a well-known risk factor for delirium; however, it too is under-recognized and on admission can be missed. Conversely, the Barthel Index is a simple and widely used measure of functional ability that may prove useful in stratifying those at risk of in-hospital delirium on admission.

Influence of physical restraint on delirium of adult patients in ICU: A nested case-control study.

To investigate the impact of physical restraint on delirium of adult patients in intensive care unit. Delirium is a common clinical syndrome in intensive care unit, correlated with various adverse clinical outcomes. Physical restraint is a precipitating factor for delirium; however, the effect of physical restraint on delirium, such as duration, number and appliance is still unclear. A nested case-control study. A cohort of 593 intensive care unit patients were observed for 12months, and 447 of them who received physical restraint were included for analysis. Delirium was assessed using the Confusion Assessment Method for the intensive care unit. During hospitalisation in intensive care unit, newly-onset delirium patients (the delirium group), and nondelirium patients of similar age, same gender, and conditions of mechanical ventilation and sedative drug usage (the nondelirium group) were included as the matching criteria. Patient data were acquired by reviewing medical and nursing electronic records. Among the 447 patients that had been physically restrained, 178 (39.8%) developed delirium. Delirium risk in patients with restraint ≥6days was 26.30 times higher than in those <6days. Patients who had two and three times of restraint had a 2.38-fold and 3.62-fold higher risk of delirium than those with one time of restraint. However, the appliance, site, time to apply and remove restraint had no effect on the incidence of delirium. The incidence of delirium is high when patients use physical restraint. Duration and number of restraint are positively related to delirium. Restrictions on the use of restraint in intensive care unit are required to reduce the occurrence of delirium. To reduce delirium risk of patients in intensive care unit, nurses need to assess the risk of physical restraint and consider alternative measures, thereby to achieve the minimisation of the use of restraint.

Journal Digest

Journal Digest

Effect of Haloperidol on Survival Among Critically Ill Adults With a High Risk of Delirium

Results of studies on use of prophylactic haloperidol in critically ill adults are inconclusive, especially in patients at high risk of delirium. To determine whether prophylactic use of haloperidol improves survival among critically ill adults at high risk of delirium, which was defined as an anticipated intensive care unit (ICU) stay of at least 2 days. Randomized, double-blind, placebo-controlled investigator-driven study involving 1789 critically ill adults treated at 21 ICUs, at which nonpharmacological interventions for delirium prevention are routinely used in the Netherlands. Patients without delirium whose expected ICU stay was at least a day were included. Recruitment was from July 2013 to December 2016 and follow-up was conducted at 90 days with the final follow-up on March 1, 2017. Patients received prophylactic treatment 3 times daily intravenously either 1 mg (n = 350) or 2 mg (n = 732) of haloperidol or placebo (n = 707), consisting of 0.9% sodium chloride. The primary outcome was the number of days that patients survived in 28 days. There were 15 secondary outcomes, including delirium incidence, 28-day delirium-free and coma-free days, duration of mechanical ventilation, and ICU and hospital length of stay. All 1789 randomized patients (mean, age 66.6 years [SD, 12.6]; 1099 men [61.4%]) completed the study. The 1-mg haloperidol group was prematurely stopped because of futility. There was no difference in the median days patients survived in 28 days, 28 days in the 2-mg haloperidol group vs 28 days in the placebo group, for a difference of 0 days (95% CI, 0-0; P = .93) and a hazard ratio of 1.003 (95% CI, 0.78-1.30, P=.82). All of the 15 secondary outcomes were not statistically different. These included delirium incidence (mean difference, 1.5%, 95% CI, -3.6% to 6.7%), delirium-free and coma-free days (mean difference, 0 days, 95% CI, 0-0 days), and duration of mechanical ventilation, ICU, and hospital length of stay (mean difference, 0 days, 95% CI, 0-0 days for all 3 measures). The number of reported adverse effects did not differ between groups (2 [0.3%] for the 2-mg haloperidol group vs 1 [0.1%] for the placebo group). Among critically ill adults at high risk of delirium, the use of prophylactic haloperidol compared with placebo did not improve survival at 28 days. These findings do not support the use of prophylactic haloperidol for reducing mortality in critically ill adults. clinicaltrials.gov Identifier: NCT01785290.

Frequency and predictors of post-stroke delirium in PRospective Observational POLIsh Study (PROPOLIS).

Delirium is the most common and serious neurobehavioral complication in acute hospital admissions. Some patients develop signs of delirium but do not meet all diagnostic criteria. Stroke is a major risk factor for delirium. The aim of this prospective study was to build a predictive model for delirium and subsyndromal post-stroke delirium. Patients with stroke were screened for delirium during the first 7days after admission. Delirium was diagnosed according to DSM-V criteria. Baseline demographic, biochemical, stroke-related data, medications used, neurological deficit, and premorbid cognitive and functional impairment were assessed. 750 consecutive stroke patients (71.75±13.13years) were recruited; 203 (27.07%) had delirium. In predictive model for delirium MoCA score and white blood count on admission, neglect, vision deficits, physical impairment, and higher comorbidity prior to stroke had the highest predictive value. Subsyndromal delirium was diagnosed in 60 patients. MoCA score and potassium level on admission, and urinary tract infection during hospitalization had the highest predictive value for its development. Delirium occurs in one-fourth of admissions due to stroke; subsyndromal delirium is less prevalent and affects less than one per ten patients. The hyperactive form is the most rare type of delirium. The factors best predicting delirium are easily assessed in everyday practice and their co-occurrence in patients with stroke should alert the treating physician of high risk of delirium.

Clinical characteristics associated with the onset of delirium among long-term nursing home residents

BackgroundNursing home residents are frail, have multiple medical comorbidities, and are at high risk for delirium. Most of the existing evidence base on delirium is derived from studies in the acute in-patient population. We examine the association between clinical characteristics and medication use with the incidence of delirium during the nursing home stay.MethodsThis is a retrospective cohort study of 1571 residents from 12 nursing homes operated by a single care provider in Ontario, Canada. Residents were over the age of 55 and admitted between February 2010 and December 2015 with no baseline delirium and a minimum stay of 180 days. Residents with moderate or worse cognitive impairment at baseline were excluded. The baseline and follow-up characteristics of residents were collected from the Resident Assessment Instrument-Minimal Data Set 2.0 completed at admission and repeated quarterly until death or discharge. Multivariate logistic regression was used to identify characteristics and medication use associated with the onset of delirium.ResultsThe incidence of delirium was 40.4% over the nursing home stay (mean LOS: 32 months). A diagnosis of dementia (OR: 2.54, p < .001), the presence of pain (OR: 1.64, p < .001), and the use of antipsychotics (OR: 1.87, p < .001) were significantly associated with the onset of delirium. Compared to residents who did not develop delirium, residents who developed a delirium had a greater increase in the use of antipsychotics and antidepressants over the nursing home stay.ConclusionsDementia, the presence of pain, and the use of antipsychotics were associated with the onset of delirium. Pain monitoring and treatment may be important to decrease delirium in nursing homes. Future studies are necessary to examine the prescribing patterns in nursing homes and their association with delirium.

A novel scoring system to predict delirium and its relationship with the clinical course in patients with acute decompensated heart failure

BackgroundDelirium is known to be a poor prognostic factor in patients with acute decompensated heart failure (ADHF). The purpose of this study was to determine predictors of delirium on admission of ADHF patients, and to establish a scoring formula to identify patients at high risk for delirium. Methods and resultsWe recorded the Intensive Care Delirium Screening Checklist (ICDSC) score in 120 ADHF patients during their stay in the coronary care unit (CCU). Patients with a highest ICDSC score of 4 or more were diagnosed with delirium. We examined independent candidate predictors of delirium using multivariate logistic regression analysis and developed the following scoring formula, the delirium prediction score (DPS), using independent predictors of delirium and their regression coefficients: DPS=inferior vena cava diameter+C-reactive protein (and additionally +10 for patients with a history of cerebral infarction). Receiver operating curve analysis indicated that evaluation using this scoring system at the time of admission was able to predict delirium with high accuracy (C-statistic: 0.885). In addition, the calculated scores had significantly positive correlations with duration of CCU stay and overall length of hospital stay. ConclusionsWe established a novel scoring system to predict on admission the likelihood of development of delirium in ADHF patients; this system also predicts prolongation of intensive care and hospital stay.

Delirium in the Pediatric Cardiac Extracorporeal Membrane Oxygenation Patient Population: A Case Series.

To determine the prevalence of delirium in children who require extracorporeal membrane oxygenation. Prospective observational longitudinal cohort study. Urban academic cardiothoracic ICU. All consecutive admissions to the cardiothoracic ICU who required venoarterial extracorporeal membrane oxygenation support. Daily delirium screening with the Cornell Assessment for Pediatric Delirium. Eight children required extracorporeal membrane oxygenation during the study period, with a median extracorporeal membrane oxygenation duration of 202 hours (interquartile range, 99-302). All eight children developed delirium during their cardiothoracic ICU stay. Seventy-two days on extracorporeal membrane oxygenation were included in the analysis. A majority of patient days on extracorporeal membrane oxygenation were spent in coma (65%). Delirium was diagnosed during 21% of extracorporeal membrane oxygenation days. Only 13% of extracorporeal membrane oxygenation days were categorized as delirium free and coma free. Delirium screening was successfully completed on 70/72 days on extracorporeal membrane oxygenation (97%). In this cohort, delirium occurred in all children who required venoarterial extracorporeal membrane oxygenation. It is likely that this patient population has an extremely high risk for delirium and will benefit from routine screening in order to detect and treat delirium sooner. This has potential to improve both short- and long-term outcomes.

A Proactive Approach to High Risk Delirium Patients Undergoing Total Joint Arthroplasty

BackgroundDelirium is a common complication among elderly patients undergoing total joint arthroplasty (TJA). Its incidence has been reported from 4% to 53%. The Centers for Medicare and Medicaid Services consider delirium following TJA a “never-event.” The purpose of this study is to evaluate a simple perioperative protocol used to identify delirium risk patients and prevent its incidence following TJA. MethodsOur group developed a protocol to identify and prevent delirium in patients undergoing TJA. All patients were screened and scored in the preoperative assessment, on criteria such as age, history of forgetfulness, history of agitation or visual hallucinations, history of falls, history of postoperative confusion, and inability to perform higher brain functions. Patients were scored on performance in a simple mental examination. The patients were classified as low, medium, or high risk. Patients who were identified as high risk were enrolled in a delirium avoidance protocol that minimized narcotics and emphasized nursing involvement and fluids administration. ResultsFive of 7659 (0.065%) consecutive TJA patients from 2010 to 2015 developed delirium. A total of 422 patients were identified as high risk. All 5 patients who suffered delirium were within the high risk group. No low or medium risk patients suffered a delirium complication. Three (0.039%) patients suffered drug-induced delirium, 1 (0.013%) had delirium related to alcohol withdrawal, and 1 (0.013%) had delirium after a systemic infection. ConclusionThis protocol is effective in identifying patients at high delirium risk and diminishing the incidence of this complication by utilizing a simple screening tool and perioperative protocol.

Identification of patients with cancer with a high risk to develop delirium.

Delirium deteriorates the quality of life in patients with cancer, but is frequently underdiagnosed and not adequately treated. In this study, we evaluated the occurrence of delirium and its risk factors in patients admitted to the hospital for treatment or palliative care in order to develop a prediction model to identify patients at high risk for delirium. In a period of 1.5 years, we evaluated the risk of developing delirium in 574 consecutively admitted patients with cancer to our academic oncology department with the Delirium Observation Screening Scale. Risk factors for delirium were extracted from the patient's chart. A delirium prediction algorithm was constructed using tree analysis, and validated with fivefold cross‐validation. A total of 574 patients with cancer were acutely (42%) or electively (58%) admitted 1733 times. The incidence rate of delirium was 3.5 per 100 admittances. Tree analysis revealed that the predisposing factors of an unscheduled admittance and a metabolic imbalance accurately predicted the development of delirium. In this group the incidence rate of delirium was 33 per 100 patients (1:3). The AUC of the model was 0.81, and 0.65 after fivefold cross‐validation. We identified that especially patients undergoing an unscheduled admittance with a metabolic imbalance do have a clinically relevant high risk to develop a delirium. Based on these factors, we propose to evaluate preventive treatment of these patients when admitted to the hospital in order to improve their quality of life.