Antipsychotics for the prevention and treatment of delirium in the intensive care unit: what is their role?

Pharmacologic Treatment Strategies for Delirium in Hospitalized Adults: Past, Present, and Future

Despite the use of multidomain prevention strategies, delirium still frequently occurs in hospitalized adults. With delirium often associated with undesirable symptoms and deleterious outcomes, including cognitive decline, treatment is important. Risk-factor reduction and the protocolized use of multidomain, nonpharmacologic bundles remain the mainstay of delirium treatment. There is a current lack of strong evidence to suggest any pharmacologic intervention to treat delirium will help resolve it faster, reduce its symptoms (other than agitation), facilitate hospital throughput, or improve post-hospital outcomes including long-term cognitive function. With the exception of dexmedetomidine as a treatment of severe delirium-associated agitation in the ICU, current practice guidelines do not recommend the routine use of any pharmacologic intervention to treat delirium in any hospital population. Future research should focus on identifying and evaluating new pharmacologic delirium treatment interventions and addressing key challenges and gaps surrounding delirium treatment research.

Future directions in ventilator-induced lung injury associated cognitive impairment: a new sight

Mechanical ventilation is a widely used short-term life support technique, but an accompanying adverse consequence can be pulmonary damage which is called ventilator-induced lung injury (VILI). Mechanical ventilation can potentially affect the central nervous system and lead to long-term cognitive impairment. In recent years, many studies revealed that VILI, as a common lung injury, may be involved in the central pathogenesis of cognitive impairment by inducing hypoxia, inflammation, and changes in neural pathways. In addition, VILI has received attention in affecting the treatment of cognitive impairment and provides new insights into individualized therapy. The combination of lung protective ventilation and drug therapy can overcome the inevitable problems of poor prognosis from a new perspective. In this review, we summarized VILI and non-VILI factors as risk factors for cognitive impairment and concluded the latest mechanisms. Moreover, we retrospectively explored the role of improving VILI in cognitive impairment treatment. This work contributes to a better understanding of the pathogenesis of VILI-induced cognitive impairment and may provide future direction for the treatment and prognosis of cognitive impairment.

Prophylactic melatonin for delirium in critically ill patients: A systematic review and meta-analysis with trial sequential analysis

BACKGROUND

Up to 80% of patients in the intensive care unit (ICU) suffer from delirium. Studies on the preventative use of melatonin in the ICU have produced mixed results. We performed a systematic review and meta-analysis to evaluate whether early administration of melatonin reduces the prevalence of delirium in critically ill patients.

METHODS

We searched Medline, Embase, and the Cochrane Library for randomized controlled trials comparing melatonin or melatonin agonists to placebo in ICU setting. The population included adult patients in the ICU. The primary outcome was the prevalence of delirium. Secondary outcomes included duration of delirium, delirium-free day, serum melatonin concentration, need for sedation, duration of mechanical ventilation, hospital and ICU length of stay (LOS), all-cause mortality, sleep quality, and adverse events. Trial sequential analysis (TSA) was performed on the primary outcome to prevent the risk of random error and multiplicity phenomenon as a result of repeated significance testing across all the included trials.

RESULTS

Twelve trials with a total of 2538 patients were analyzed. When all trials were pooled, the incidence of delirium in ICU patients who received melatonin was significantly lower than in those who received placebo (risk ratio, 0.77; 95% confidence interval: 0.61-0.96; I2 = 56%). There were no significant differences in secondary outcomes including duration of delirium, duration of mechanical ventilation, ICU LOS, hospital LOS, and mortality. TSA indicated that Z-curve crossed the traditional boundary, but did not cross the monitoring boundary for benefit, which indicated that it is still inconclusive that melatonin affects the incidence of delirium.

CONCLUSIONS

This meta-analysis found that early administration of melatonin may result in a decreased delirium prevalence in critically ill patients. However, the sensitivity analysis of high-quality studies did not support this finding. In addition, TSA demonstrated that the result may have false-positive error. Therefore, this finding should be interpreted with caution. Further studies are needed to examine the effectiveness of prophylactic melatonin on the prevalence and duration of ICU delirium in the future.

Delirium in Older Adults: What a Surgeon Needs to Know

Delirium remains a challenging clinical problem in hospitalized older adults, especially for postoperative patients. This complication, with a high risk of postoperative mortality and an increased length of stay, frequently occurs in older adult patients. This brief narrative paper aims to review the recent literature regarding delirium and its most recent update. We also offer physicians a brief and essential clinical practice guide to managing this acute and common disease.

Development and validation of an automated delirium risk assessment system (Auto-DelRAS) implemented in the electronic health record system

BACKGROUND

A key component of the delirium management is prevention and early detection.

OBJECTIVE

To develop an automated delirium risk assessment system (Auto-DelRAS) that automatically alerts health care providers of an intensive care unit (ICU) patient's delirium risk based only on data collected in an electronic health record (EHR) system, and to evaluate the clinical validity of this system.

DESIGN

Cohort and system development designs were used.

SETTING

Medical and surgical ICUs in two university hospitals in Seoul, Korea.

PARTICIPANTS

A total of 3284 patients for the development of Auto-DelRAS, 325 for external validation, 694 for validation after clinical applications.

METHODS

The 4211 data items were extracted from the EHR system and delirium was measured using CAM-ICU (Confusion Assessment Method for Intensive Care Unit). The potential predictors were selected and a logistic regression model was established to create a delirium risk scoring algorithm to construct the Auto-DelRAS. The Auto-DelRAS was evaluated at three months and one year after its application to clinical practice to establish the predictive validity of the system.

RESULTS

Eleven predictors were finally included in the logistic regression model. The results of the Auto-DelRAS risk assessment were shown as high/moderate/low risk on a Kardex screen. The predictive validity, analyzed after the clinical application of Auto-DelRAS after one year, showed a sensitivity of 0.88, specificity of 0.72, positive predictive value of 0.53, negative predictive value of 0.94, and a Youden index of 0.59.

CONCLUSIONS

A relatively high level of predictive validity was maintained with the Auto-DelRAS system, even one year after it was applied to clinical practice.

Incidence and risk factors for delirium development in ICU patients - a prospective observational study

BACKGROUND AND AIMS

Delirium is an acute brain dysfunction and a frequent complication in critically ill patients. When present it significantly worsens the prognosis of patients. The aim of this study was to evaluate the incidence of delirium and risk factors for delirium in a mixed group of trauma, medical and surgical ICU patients.

METHODS

A prospective observational study was conducted in one of the six-bed Intensive Care Units of the University Hospital Ostrava in the Czech Republic during a 12-month period. We evaluated the incidence of delirium and its predisposing and precipitating risk factors. All patients were assessed daily using the Confusion Assessment Method for the ICU (CAM-ICU).

RESULTS AND CONCLUSIONS

Of the total of 332 patients with a median APACHE II (the Acute Physiology and Chronic Health Evaluation) score of 12, who were evaluated for delirium, 48 could not be assessed using CAM-ICU (47 due to prolonged coma, 1 due to language barriers). The incidence of delirium was 26.1%, with trauma and medical patients being more likely to develop delirium than surgical patients. Risk of delirium was significantly associated with age ≥ 65 years, and alcohol abuse in their anamnesis, with APACHE II score on admission, and with the use of sedatives and/or vasopressors. Delirious patients who remained in the ICU for a prolonged period showed a greater need for ventilator support and had a greater ICU-mortality.

Polypharmacy and Delirium in Critically Ill Older Adults: Recognition and Prevention

Among older adults, polypharmacy is a sequelae of admission to the intensive care unit and is associated with increased medication-associated adverse events, drug interactions, and health care costs. Delirium is prevalent in critically ill geriatric patients and medications remain an underappreciated modifiable risk for delirium in this setting. This article reviews the literature on polypharmacy and delirium, with a focus on highlighting the relationships between polypharmacy and delirium in critically ill, older adults. Discussed are clinician strategies on how to recognize and reduce medication-associated delirium and recommendations that help prevent polypharmacy when interventions to reduce the burden of delirium in this vulnerable population are being formulated.

Preventive strategies and potential therapeutic interventions for delirium in sepsis

Delirium is the most frequent and severe clinical presentation of brain dysfunction in critically ill septic patients with an incidence ranging from 9% to 71%. Delirium represents a significant burden for patients and relatives, as well as to the health care system, resulting in higher costs, long-term cognitive impairment and significant risk of death after 6 months. Current interventions for the prevention of delirium typically involve early recognition and amelioration of modifiable risk factors and treatment of underlying conditions that predisposes the individual to delirium. Several pharmacological interventions to prevent and treat delirium have been tested, although their effectiveness remains uncertain, especially in larger and more homogeneous subgroups of ICU patients, like in patients with sepsis. To date, there is inconsistent and conflicting data regarding the efficacy of any particular pharmacological agent, thus substantial attention has been paid to non-pharmacological interventions and preventive strategies should be applied to every patient admitted in the ICU. Future trials should be designed to evaluate the impact of these pharmacologic interventions on the prevention and treatment of delirium on clinically relevant outcomes such as length of stay, hospital mortality and long-term cognitive function. The role of specific medications like statins in delirium prevention is also yet to be evaluated.

Continuation Rate of Atypical Antipsychotics After Discharge When Initiated in the Intensive Care Unit

Purpose:

The frequency with which atypical antipsychotics initiated in the intensive care unit (ICU) is unknown. While there is lack of evidence to support the exact duration of treatment, antipsychotics should not be continued chronically for agitation and psychosis related to critical illness. The objective of this study was to determine whether atypical antipsychotics initiated in the ICU at a large tertiary academic medical center were continued after hospital discharge. Safety outcomes were also assessed.

Materials:

A total of 1023 patients who received atypical antipsychotics during ICU stay were identified. Patients were assessed in a pseudo-randomized fashion until a sample of 191 patients was reached. After review of the exclusion criteria, the final study population was 100 patients. When antipsychotics were discontinued, progress notes were reviewed to identify the reason for discontinuation. Safety outcomes were assessed based on physician documentation in the medical charts.

Results:

Atypical antipsychotics were continued in 23% of patients. Atypical antipsychotics were discontinued in 1 patient due to QTc prolongation.

Conclusions:

Atypical antipsychotics initiated in the ICU are frequently continued after hospital discharge. Given the known risks associated with extended therapy, initiatives are needed to prevent inappropriate continuation.

Assessment and Management of Delirium in Older Adults in the Emergency Department: Literature Review to Inform Development of a Novel Clinical Protocol

Delirium occurs frequently in older patients in the emergency department (ED), is underrecognized, and has potentially serious consequences. Despite its seriousness, delirium is frequently missed by emergency providers, and patients with unrecognized delirium are often discharged from the ED. Even when it is appropriately recognized, managing delirium in older adults poses a significant challenge for ED providers. Geriatric delirium is typically caused by the interaction of multiple factors, including several that are commonly missed: pain, urinary retention, constipation, dehydration, and polypharmacy. Appropriate management includes nonpharmacological management with medication intervention reserved for emergencies. We have developed a new, comprehensive, evidence-based protocol for diagnosis/recognition, management, and disposition of geriatric delirium patients in the ED with a focus on identifying and treating commonly missed contributing causes.

Intravenous Patient-controlled Analgesia Has a Positive Effect on the Prognosis of Delirium in Patients Undergoing Orthopedic Surgery

BACKGROUND

Postoperative delirium is relatively common. However, the relationship between intravenous patient-controlled analgesia (IV-PCA) and delirium has not been thoroughly investigated. The aim of this study was to evaluate the effects of IV-PCA on the prognosis of postoperative delirium in patients undergoing orthopedic surgery.

METHODS

Medical records of 129 patients with postoperative delirium were reviewed. Patients were divided into two groups according to whether they used IV-PCA with fentanyl and ketorolac. The IV-PCA group consisted of 73 patients who were managed with IV-PCA; the NO-PCA group consisted of 56 patients who were managed without PCA.

RESULTS

Incidences of multiple psychiatric consultations and prolonged delirium were significantly lower in patients using IV-PCA with fentanyl and ketorolac than in those without PCA.

CONCLUSIONS

We recommend the use of IV-PCA for pain control and management of delirium in patients with postoperative delirium.

Effects of a screening and treatment protocol with haloperidol on post-cardiotomy delirium: a prospective cohort study

OBJECTIVES

Post-cardiotomy delirium is common and associated with increased morbidity and mortality. No gold standard exists for detecting delirium, and evidence to support the choice of treatment is needed. Haloperidol is widely used for treating delirium, but indication, doses and therapeutic targets vary. Moreover, doubt has been raised regarding overall efficacy. The purpose of this study was to assess the effect of a combination of early detection and standardized treatment with haloperidol on post-cardiotomy delirium, with the hypothesis that the proportion of delirium- and coma-free days could be increased. Length of stay (LOS), complications and 180-day mortality are reported.

METHODS

Prospective interventional cohort study. One hundred and seventeen adult patients undergoing cardiac surgery were included before introduction of a screening and treatment protocol with haloperidol for delirium, and 123 patients were included after. Nurses screened patients using validated tools (the Delirium Observation Screening (DOS) scale and confusion assessment method for the intensive care unit (CAM-ICU)). In case of delirium, a checklist to eliminate precipitating/ inducing factors and a protocol for standardized dosing with haloperidol was applied. Group comparison was done using non-parametric tests and analysis of fractions, and associations between delirium and predefined covariates were analysed with logistic regression.

RESULTS

Incidence of delirium after cardiac surgery was 21 (14-29) and 22 (15-30) %, onset was on postoperative day 1 (1-4) and 1 (1-3), duration was 1 (1-4) day and 3 (1-5) days, respectively, with no significant difference (Period 1 vs 2, all values are given as the median and 95% confidence interval). The proportion of delirium- and coma-free days was 67 (61-73) and 65 (60-70) %, respectively (ns). There was no difference in LOS or complication rate. Delirium was associated to increasing age, increased length of stay and complications.

CONCLUSIONS

We observed no increase in the proportion of delirium- and coma-free days after introduction of a combination of early detection and standardized treatment with haloperidol on post-cardiotomy delirium. Most patients were not severely affected, and the few who were, proved difficult to treat, indicating that a simple treatment protocol with haloperidol was ineffective.

Intensive care unit delirium: a review of the literature

PURPOSE

The recent literature regarding intensive care unit (ICU) delirium and updated clinical practice guidelines are reviewed.

SUMMARY

Recent studies show that ICU delirium in critically ill patients is an independent predictor of higher mortality, longer ICU and hospital stay, and is associated with multiple clinical complications. Delirium has been reported to occur in greater than 80% of hospitalized critically ill patients, yet it remains an underdiagnosed condition. Several subtypes of delirium have been identified including hypoactive, hyperactive, and mixed presentation. Although the exact mechanism is unknown, several factors are thought to interact to cause delirium. Multiple risk factors related to medications, acute illness, the environment, and patient characteristics may contribute to the development of delirium. Practical bedside screening tools have been validated and are recommended to identify ICU patients with delirium. Nonpharmacologic interventions such as early mobilization have resulted in better functional outcomes, decreased incidence and duration of delirium, and more ventilator-free days. Data supporting pharmacologic treatments are limited.

CONCLUSION

Clinicians should become familiar with tools to identify delirium in order to initiate treatment and remove mitigating factors early in hospitalization to prevent delirium. Pharmacists are in a unique position to reduce delirium through minimization of medication-related risk factors and development of protocols.

Agreement between ICU clinicians and electrophysiology cardiologists on the decision to initiate a QTc-interval prolonging medication in critically ill patients with potential risk factors for torsade de pointes: a comparative, case-based evaluation

STUDY OBJECTIVES

To measure concordance between different intensive care unit (ICU) clinicians and a consensus group of electrophysiology (EP) cardiologists for use of a common rate-corrected QT interval (QTc)-prolonging medication in cases containing different potential risk factor(s) for torsade de pointes (TdP).

DESIGN

Prospective case-based evaluation.

SETTING

Academic medical center with 320 beds.

SUBJECTS

Medical house staff (MDs) and ICU nurses (RNs) from one center and select critical care pharmacists (PHs).

INTERVENTION

Completion of a survey containing 10 hypothetical ICU cases in which patients had agitated delirium for which a psychiatrist recommended intravenous haloperidol 5 mg every 6 hours. Each case contained different potential risk factor(s) for TdP in specific combinations. A group of five EP cardiologists agreed that haloperidol use was safe in five cases and not safe in five cases.

MEASUREMENTS AND MAIN RESULTS

For each case, participants were asked to document whether they would administer haloperidol, to provide a rationale for their decision, and to state their level of confidence in that decision. Most clinicians (92 of 115 [80%]) invited to participate completed the cases. Among the five cases where EP cardiologists agreed that haloperidol was not safe, 29% of respondents felt that haloperidol was safe. Conversely, in the five cases where EP cardiologists felt haloperidol was safe, 21% of respondents believed that it was not safe. Overall respondent-EP cardiologist agreement for haloperidol use across the 10 cases was moderate (κ = 0.51). MDs and PHs were in agreement with the EP cardiologists more than RNs (p=0.03). Interprofessional variability existed for the TdP risk factors each best identified. Clinician confidence correlated with EP cardiologist concordance for MDs (p=0.002) and PHs (p=0.0002), but not for RNs (p=0.69).

CONCLUSION

When evaluating use of a QTc interval-prolonging medication, ICU clinicians often fail to identify the TdP risk factors that EP cardiologists feel should prevent its use. Clinician-EP cardiologist concordance varies by the specific risk factor(s) for TdP and the ICU professional conducting the assessment.

Strategies for prevention of postoperative delirium: a systematic review and meta-analysis of randomized trials

INTRODUCTION

The ideal measures to prevent postoperative delirium remain unestablished. We conducted this systematic review and meta-analysis to clarify the significance of potential interventions.

METHODS

The PRISMA statement guidelines were followed. Two researchers searched MEDLINE, EMBASE, CINAHL and the Cochrane Library for articles published in English before August 2012. Additional sources included reference lists from reviews and related articles from 'Google Scholar'. Randomized clinical trials (RCTs) on interventions seeking to prevent postoperative delirium in adult patients were included. Data extraction and methodological quality assessment were performed using predefined data fields and scoring system. Meta-analysis was accomplished for studies that used similar strategies. The primary outcome measure was the incidence of postoperative delirium. We further tested whether interventions effective in preventing postoperative delirium shortened the length of hospital stay.

RESULTS

We identified 38 RCTs with interventions ranging from perioperative managements to pharmacological, psychological or multicomponent interventions. Meta-analysis showed dexmedetomidine sedation was associated with less delirium compared to sedation produced by other drugs (two RCTs with 415 patients, pooled risk ratio (RR)=0.39; 95% confidence interval (CI)=0.16 to 0.95). Both typical (three RCTs with 965 patients, RR=0.71; 95% CI=0.54 to 0.93) and atypical antipsychotics (three RCTs with 627 patients, RR=0.36; 95% CI=0.26 to 0.50) decreased delirium occurrence when compared to placebos. Multicomponent interventions (two RCTs with 325 patients, RR=0.71; 95% CI=0.58 to 0.86) were effective in preventing delirium. No difference in the incidences of delirium was found between: neuraxial and general anesthesia (four RCTs with 511 patients, RR=0.99; 95% CI=0.65 to 1.50); epidural and intravenous analgesia (three RCTs with 167 patients, RR=0.93; 95% CI=0.61 to 1.43) or acetylcholinesterase inhibitors and placebo (four RCTs with 242 patients, RR=0.95; 95% CI=0.63 to 1.44). Effective prevention of postoperative delirium did not shorten the length of hospital stay (10 RCTs with 1,636 patients, pooled SMD (standard mean difference)=-0.06; 95% CI=-0.16 to 0.04).

CONCLUSIONS

The included studies showed great inconsistencies in definition, incidence, severity and duration of postoperative delirium. Meta-analysis supported dexmedetomidine sedation, multicomponent interventions and antipsychotics were useful in preventing postoperative delirium.

Pharmacologic prevention and treatment of delirium in critically ill and non-critically ill hospitalised patients: a review of data from prospective, randomised studies

Delirium occurs commonly in acutely ill hospitalised patients, particularly in the elderly or in cardiac or orthopaedic surgery patients, or those in intensive care units (ICUs). Delirium worsens outcome. Pharmaceutical agents such as antipsychotics and, in the critically ill, dexmedetomidine, are considered therapeutic despite uncertainty regarding their efficacy and safety. Using MEDLINE, we reviewed randomised controlled trials (RCTs) published between 1977 and April 2012 evaluating a pharmacologic intervention to prevent or treat delirium in critically ill and non-critically ill hospitalised patients. The number of prospective RCTs remains limited. Any conclusions about pharmacologic efficacy are limited by the small size of many studies, the inconsistency by which non-pharmacologic delirium prevention strategies were incorporated, the lack of a true placebo arm and a failure to incorporate ICU and non-ICU clinical outcomes. A research framework for future evaluation of the use of medications in both ICU and non-ICU is proposed.

Optimising the recognition of delirium in the intensive care unit

Delirium affects up to 80% of critically ill patients and negatively influences patient outcome. Consensus guidelines advocate that a validated screening tool like the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU) or the Intensive Care Delirium Screening Checklist (ICDSC) be used to identify delirium rather than a subjective approach. The CAM-ICU and ICDSC have the most rigorous psychometric data to support their use. The differences between these two instruments are far less important to the outcome of patients than the regular and reliable use of either in routine ICU care. Implementation of a large-scale delirium screening effort is both feasible and sustainable and should be accompanied by both didactic and bedside education. An ICU clinical road map should be used on a daily basis that promotes delirium assessment, establishes a targeted sedation goal and defines the analgesic/sedative regimen that is best suited to maintain patient comfort, prevent delirium and promote wakefulness.

Antipsychotic Prescribing Patterns, and the Factors and Outcomes Associated with Their Use, among Patients Requiring Prolonged Mechanical Ventilation in the Long-Term Acute Care Hospital Setting

BACKGROUND:

Administration of scheduled antipsychotic therapy to mechanically ventilated patients to prevent or treat delirium is common, despite the lack of evidence to support its use. Among long-term acute care hospital (LTACH) patients requiring prolonged mechanical ventilation (PMV), the frequency of scheduled antipsychotic therapy use, and the factors and outcomes associated with it, have not been described.

OBJECTIVE:

To identify scheduled antipsychotic therapy prescribing practices, and the factors and outcomes associated with the use of antipsychotics, among LTACH patients requiring PMV.

METHODS:

Consecutive patients without major psychiatric disorders or dementia who were admitted to an LTACH for PMV over 1 year were categorized as those receiving scheduled antipsychotic therapy (≥24 hours of use) and those not receiving scheduled antipsychotic therapy. Presence of delirium, use of psychiatric evaluation, nonscheduled antipsychotic therapy, and scheduled antipsychotic therapy—related adverse effects were extracted and compared between the 2 groups and when significant (p ≤ 0.05), were entered into a regression analysis using generalized estimating equation techniques.

RESULTS:

Among 80 patients included, 39% (31) received scheduled antipsychotic therapy and 61% (49) did not. Baseline characteristics, including age, sex, illness severity, and medical history, were similar between the 2 groups. Scheduled antipsychotic therapy was administered on 52% of LTACH days for a median (interquartile range [IQR]) of 25 (6–38) days and, in the antipsychotic group, was initiated at an outside hospital (45%) or on day 2 (1–6; median [IQR]) of the LTACH stay (55%). Quetiapine was the most frequently administered scheduled antipsychotic (77%; median dose 50 [37–72] mg/day). Use of scheduled antipsychotic therapy was associated with a greater incidence of psychiatric evaluation (OR 5.7; p = 0.01), delirium (OR 2.4; p = 0.05), as-needed antipsychotic use (OR 4.1; p = 0.005) and 1:1 sitter use (OR 7.3; p = 0.001), but not benzodiazepine use (p = 0.19).

CONCLUSIONS:

Among LTACH patients requiring PMV, scheduled antipsychotic therapy is used frequently and is associated with a greater incidence of psychiatric evaluation, delirium, as-needed psychotic use, and sitter use. Although scheduled antipsychotic therapy—related adverse effects are uncommon, these effects are infrequently monitored.

Development and validation of PRE-DELIRIC (PREdiction of DELIRium in ICu patients) delirium prediction model for intensive care patients: observational multicentre study

OBJECTIVES

To develop and validate a delirium prediction model for adult intensive care patients and determine its additional value compared with prediction by caregivers.

DESIGN

Observational multicentre study.

SETTING

Five intensive care units in the Netherlands (two university hospitals and three university affiliated teaching hospitals).

PARTICIPANTS

3056 intensive care patients aged 18 years or over.

MAIN OUTCOME MEASURE

Development of delirium (defined as at least one positive delirium screening) during patients' stay in intensive care.

RESULTS

The model was developed using 1613 consecutive intensive care patients in one hospital and temporally validated using 549 patients from the same hospital. For external validation, data were collected from 894 patients in four other hospitals. The prediction (PRE-DELIRIC) model contains 10 risk factors-age, APACHE-II score, admission group, coma, infection, metabolic acidosis, use of sedatives and morphine, urea concentration, and urgent admission. The model had an area under the receiver operating characteristics curve of 0.87 (95% confidence interval 0.85 to 0.89) and 0.86 after bootstrapping. Temporal validation and external validation resulted in areas under the curve of 0.89 (0.86 to 0.92) and 0.84 (0.82 to 0.87). The pooled area under the receiver operating characteristics curve (n=3056) was 0.85 (0.84 to 0.87). The area under the curve for nurses' and physicians' predictions (n=124) was significantly lower at 0.59 (0.49 to 0.70) for both.

CONCLUSION

The PRE-DELIRIC model for intensive care patients consists of 10 risk factors that are readily available within 24 hours after intensive care admission and has a high predictive value. Clinical prediction by nurses and physicians performed significantly worse. The model allows for early prediction of delirium and initiation of preventive measures. Trial registration Clinical trials NCT00604773 (development study) and NCT00961389 (validation study).

Impact of quetiapine on resolution of individual delirium symptoms in critically ill patients with delirium: a post-hoc analysis of a double-blind, randomized, placebo-controlled study

INTRODUCTION

We hypothesized that delirium symptoms may respond differently to antipsychotic therapy. The purpose of this paper was to retrospectively compare duration and time to first resolution of individual delirium symptoms from the database of a randomized, double-blind, placebo-controlled study comparing quetiapine (Q) or placebo (P), both with haloperidol rescue, for critically ill patients with delirium.

METHODS

Data for 10 delirium symptoms from the eight-domain, intensive care delirium screening checklist (ICDSC) previously collected every 12 hours were extracted for 29 study patients. Data between the Q and P groups were compared using a cut-off P-value of ≤ 0.10 for this exploratory study.

RESULTS

Baseline ICDSC scores (5 (4 to 7) (Q) vs 5 (4 to 6)) (median, interquartile range (IQR)) and % of patients with each ICDSC symptom were similar in the two groups (all P > 0.10). Among patients with the delirium symptom at baseline, use of Q may lead to a shorter time (days) to first resolution of symptom fluctuation (4 (Q) vs. 14, P = 0.004), inattention (3 vs. 8, P = .10) and disorientation (2 vs. 10, P = 0.10) but a longer time to first resolution of agitation (3 vs. 1, P = 0.04) and hyperactivity (5 vs. 1, P = 0.07). Among all patients, Q-treated patients tended to spend a smaller percent of time with inattention (47 (0 to 67) vs. 78 (43 to 100), P = 0.025), hallucinations (0 (0 to 17) vs. 28 (0 to 43), P = 0.10) and symptom fluctuation (47 (19 to 67) vs. 89 (33 to 00), P = 0.04] and there was a trend for Q-treated patients to spend a greater percent of time at an appropriate level of consciousness (26% (13 to 63%) vs. 14% (0 to 33%), P = 0.17].

CONCLUSIONS

Our exploratory analysis suggests that quetiapine may resolve several intensive care unit (ICU) delirium symptoms faster than the placebo. Individual symptom resolution appears to differ in association with the pharmacologic intervention (that is, P vs Q, both with as needed haloperidol). Future studies evaluating antipsychotics in ICU patients with delirium should measure duration and resolution of individual delirium symptoms and their relation to long-term outcomes.