The impact of delirium on clinical and functional outcomes in hospitalized patients with acute coronary syndrome

BACKGROUND

Delirium, which is prevalent in critical care settings, remains underexplored in acute coronary syndrome (ACS) patients in the cardiac intensive care unit (CICU).

AIMS

To investigate the prevalence and clinical significance of delirium in patients with ACS admitted to the CICU.

STUDY DESIGN

A prospective study (n = 106, mean age 74.2 ± 5.7 years) assessed delirium using the confusion assessment method-intensive care unit (CAM-ICU) tool in 21.7% of ACS patients during their CICU stay. Baseline characteristics, geriatric conditions and clinical procedures were compared between delirious and nondelirious patients. The outcomes included in-hospital mortality, 30-day and 6-month mortality, acute adverse events and length of CICU stay and hospital stay (LOS).

RESULTS

Delirious patients who were older and had a higher incidence of coronary artery disease underwent more complex procedures (e.g., pacemaker placement). Multivariate analysis identified central venous catheter insertion, urinary catheterization and benzodiazepine use as independent predictors of delirium. Delirium was correlated with prolonged LOS (p < .001) and increased in-hospital, 30-day and 6-month mortality (p < .001).

CONCLUSIONS

Delirium in ACS patients in the CICU extends hospitalization and increases in-hospital, 30-day and 6-month mortality. Early recognition and targeted interventions are crucial for mitigating adverse outcomes in this high-risk population.

RELEVANCE TO CLINICAL PRACTICE

This study highlights the critical impact of delirium on outcomes in hospitalized patients with ACS in the CICU. Delirium, often overlooked in ACS management, significantly extends hospitalization and increases mortality rates. Nurses and physicians must be vigilant in identifying delirium early, particularly in older ACS patients or those with comorbidities. Recognizing independent predictors such as catheterization and benzodiazepine use allows for targeted interventions to reduce delirium incidence. Integrating routine delirium assessments and preventive strategies into ACS management protocols can improve outcomes, optimize resource utilization and enhance overall patient care in the CICU setting.

Machine learning methods for developing a predictive model of the incidence of delirium in cardiac intensive care units

INTRODUCTION AND OBJECTIVES

Delirium, recognized as a crucial prognostic factor in the cardiac intensive care unit (CICU), has evolved in response to the changing demographics among critically ill cardiac patients. This study aimed to create a predictive model for delirium for patients in the CICU.

METHODS

This study included consecutive patients admitted to the CICU of the Samsung Medical Center. To assess the candidate variables for the model: we applied the following machine learning methods: random forest, extreme gradient boosting, partial least squares, and Plmnet-elastic.net. After selecting relevant variables, we performed a logistic regression analysis to derive the model formula. Internal validation was conducted using 100-repeated hold-out validation.

RESULTS

We analyzed 2774 patients, 677 (24.4%) of whom developed delirium in the CICU. Machine learning-based models showed good predictive performance. Clinically significant and frequently important predictors were selected to construct a delirium prediction scoring model for CICU patients. The model included albumin level, international normalized ratio, blood urea nitrogen, white blood cell count, C-reactive protein level, age, heart rate, and mechanical ventilation. The model had an area under the receiver operating characteristics curve (AUROC) of 0.861 (95%CI, 0.843-0.879). Similar results were obtained in internal validation with 100-repeated cross-validation (AUROC, 0.854; 95%CI, 0.826-0.883).

CONCLUSIONS

Using variables frequently ranked as highly important in four machine learning methods, we created a novel delirium prediction model. This model could serve as a useful and simple tool for risk stratification for the occurrence of delirium at the patient's bedside in the CICU.

Veno-venous Extracorporeal Membrane Oxygenation: Anesthetic Considerations in Clinical Practice

Context

After the COVID-19 pandemic, multiple reviews have documented the success of veno-arterial extracorporeal membrane oxygenation (VA-ECMO). Patients who experience hypoxemia but have normal contractility may be switched to veno-venous-ECMO (VV-ECMO).

Purpose

In this review, we present three protocols for anesthesiologists. Firstly, transesophageal echocardiography (TEE) aids in cannulation and weaning off inotropes and fluids. Our main objective is to assist in patient selection for the Avalon Elite single catheter, which is inserted into the right internal jugular vein and terminates in the right atrium. Secondly, we propose appropriate anticoagulant doses. We outline day-to-day monitoring protocols to prevent heparin-induced thrombocytopenia (HIT) or resistance. Once the effects of neuromuscular paralysis subside, sedation should be reduced. Therefore, we describe techniques that may prevent delirium from progressing into permanent cognitive decline.

Methods

We conducted a PubMed search using the keywords VV-ECMO, TEE, Avalon Elite (Maquet, Germany), and quetiapine. We combined these findings with interviews conducted with nurses and anesthesiologists from two academic ECMO centers, focusing on anticoagulation and sedation.

Results

Our qualitative evidence synthesis reveals how TEE confirms cannulation while avoiding right atrial rupture or low flows. Additionally, we discovered that typically, after initial heparinization, activated partial thromboplastin time (PTT) is drawn every 1 to 2 hours or every 6 to 8 hours once stable. Daily thromboelastograms, along with platelet counts and antithrombin III levels, may detect HIT or resistance, respectively. These side effects can be prevented by discontinuing heparin on day two and initiating argatroban at a dose of 1 μg/kg/min while maintaining PTT between 61 - 80 seconds. The argatroban dose is adjusted by 10 - 20% if PTT is between 40 - 60 or 80 - 90 seconds. Perfusionists assist in establishing protocols following manufacturer guidelines. Lastly, we describe the replacement of narcotics and benzodiazepines with dexmedetomidine at a dose of 0.5 to 1 μg/kg/hour, limited by bradycardia, and the use of quetiapine starting at 25 mg per day and gradually increasing up to 200 mg twice a day, limited by prolonged QT interval.

Conclusions

The limitation of this review is that it necessarily covers a broad range of ECMO decisions faced by an anesthesiologist. However, its main advantage lies in the identification of straightforward argatroban protocols through interviews, as well as the discovery, via PubMed, of the usefulness of TEE in determining cannula position and contractility estimates for transitioning from VA-ECMO to VV-ECMO. Additionally, we emphasize the benefits in terms of morbidity and mortality of a seldom-discussed sedation supplement, quetiapine, to dexmedetomidine.

Clinical phenotypes of delirium in patients admitted to the cardiac intensive care unit

Background

Limited data are available on clinical phenotype for delirium that occurs frequently among patients admitted to the cardiac intensive care unit (CICU). The objective of this study was to investigate the clinical pictures of delirium, and their association with clinical outcomes in CICU patients.

Methods

A total of 4,261 patients who were admitted to the CICU between September 1 2012 to December 31 2018 were retrospectively registered. Patients were excluded if they were admitted to the CICU for less than 24 hours or had missed data. Ultimately, 2,783 patients were included in the analysis. A day of delirium was defined as any day during which at least one CAM-ICU assessment was positive. The clinical risk factors of delirium were classified by the delirium phenotype, as follows; hypoxic, septic, sedative-associated, and metabolic delirium.

Results

The incidence of delirium was 24.4% at the index hospitalization in all CICU patients, and 22.6% within 7 days after CICU admission. The most common delirium phenotype was septic delirium (17.2%), followed by hypoxic delirium (16.8%). Multiple phenotypes were observed during most delirium days. Delirium most frequently occurred in patients with heart failure. Of all patients affected by delirium within 7 days, both ICU and hospital mortality significantly increased according to the combined number of delirium phenotypes.

Conclusions

Delirium occurred in a quarter of patients admitted to the modern CICU and was associated with increased in-hospital mortality. Therefore, more efforts are needed to reduce the clinical risk factors of delirium, and to prevent it in order to improve clinical outcomes in the CICU.

External validation and comparison of two delirium prediction models in patients admitted to the cardiac intensive care unit

Background

No data is available on delirium prediction models in the cardiac intensive care unit (CICU), although preexisting delirium prediction models [PREdiction of DELIRium in ICu patients (PRE-DELIRIC) and Early PREdiction of DELIRium in ICu patients (E-PRE-DELIRIC)] were developed and validated based on a population admitted to the general intensive care unit (ICU). Therefore, we externally validated the usefulness of the PRE-DELIRIC and E-PRE-DELIRIC models and compared their predictive performance in patients admitted to the CICU.

Methods

A total of 2,724 patients admitted to the CICU were enrolled between September 2012 and December 2018. Delirium was defined as at least one positive Confusion Assessment Method for the ICU (CAM-ICU) which was screened at least once every 8 h. The PRE-DELIRIC value was calculated within 24 h of CICU admission, and the E-PRE-DELIRIC value was calculated at CICU admission. The predictive performance of the models was evaluated by using the area under the receiver operating characteristic (AUROC) curve, and the calibration slope was assessed graphically by plotting.

Results

Delirium occurred in 677 patients (24.8%) when the patients were assessed thrice daily until 7 days of the CICU stay. The AUROC curve for the prediction of delirium was significantly greater for PRE-DELIRIC values [0.84, 95% confidence interval (CI): 0.82–0.86] than for E-PRE-DELIRIC values (0.79, 95% CI: 0.77–0.80) [z score of −6.24 (p < 0.001)]. Net reclassification improvement for the prediction of delirium increased by 0.27 (95% CI: 0.21–0.32, p < 0.001). Calibration was acceptable in the PRE-DELIRIC model (Hosmer-Lemeshow p = 0.170) but not in the E-PRE-DELIRIC model (Hosmer-Lemeshow p < 0.001).

Conclusion

Although both models have good predictive performance for the development of delirium, even in critically ill cardiac patients, the performance of the PRE-DELIRIC model might be superior to that of the E-PRE-DELIRIC model. Further studies are required to confirm our results and design a specific delirium prediction model for CICU patients.

Epidemiology of delirium in hospitalized patients in Latin America: A systematic review

BACKGROUND

Accurate epidemiological data are essential for the planning of policies aimed at the identification, prevention, and management of delirium. The reported occurrence of delirium in hospitalized patients varies widely among studies, ranging between 5% to more than 80% in the international literature. The exact occurrence in Latin America is not well described.

OBJECTIVE

The aim of this study is to conduct a systematic analysis of the published data on the epidemiology of delirium in hospitalized patients in Latin America.

METHODS

We conducted a systematic review following PRISMA guidelines. Both MEDLINE and LILACS databases were searched for original research articles reporting the occurrence of delirium among adult hospitalized patients in Latin American countries. Studies including pediatric populations were excluded from this analysis. Two authors independently applied eligibility criteria, assessed quality, and extracted data. The corresponding authors of the original articles were contacted to obtain relevant information about the study when this was not present in the published manuscripts.

RESULTS

Seven hundred and eighteen original articles were identified. After screening titles and abstracts, 149 studies were included in the final analysis. The occurrence of delirium varied depending on the clinical scenario: (1) in the general medico-surgical wards, it ranged from 2.1% to 60.4%, (2) in the Intensive Care Units (ICUs), from 9.6% to 94.8%, (3) in the post-operatory population, from 5.45% and 52.3%, and (4) it was found to be between 10.7% and 62% in the emergency department setting. The most used delirium assessment tools were the "Confusion Assessment Method" (CAM; in the general population), and the "Confusion Assessment Method for the ICU" (CAM-ICU). Fourteen out of 149 studies were conducted in clinical settings who actively implemented some form of non-pharmacological delirium prevention bundles, most of them as part of ICU sedation-analgesia protocols.

CONCLUSION

Delirium occurs frequently in hospitalized patients in Latin America throughout a variety of clinical scenarios, including ICU, general wards, post-operatory populations, and among the emergency department setting. The CAM and the CAM-ICU are the most used delirium assessment tools. Bundles of non-pharmacological interventions to prevent delirium are not universally implemented.

Impact of delirium on mortality in patients hospitalized for heart failure

OBJECTIVE

Heart Failure (HF) is one of the leading causes of hospitalization in the United States accounting for ≈800,000 hospital discharges and $11 billion in annual costs. Delirium occurs in approximately 30% of elderly hospitalized patients and its incidence is significantly higher among those admitted to the critical care units. Despite this, there has been limited exploration of the clinical and economic impact of delirium in patients hospitalized with acute HF. We hypothesized that delirium in HF is associated with excess mortality and hospital costs.

METHODS

We queried the 2001-2014 Nationwide Inpatient Sample to identify hospitalizations that included a primary discharge diagnosis of HF (ICD-9-CM: 428.xx) and stratified them by presence or absence of delirium (ICD-9-CM: 239.0, 290.41, 293.0, 293.1, 348.31). Differences in in-hospital mortality, length of stay (LOS), and hospital costs were assessed using propensity-score matched cohorts.

RESULTS

Major predictors of delirium included advanced age, Caucasian race, underlying dementia or psychiatric diagnoses, higher Elixhauser Comorbidity Index, renal failure, cardiogenic shock, and coronary artery bypass surgery. In the propensity-score matched analysis of 76,411 hospitalization with delirium compared to 76,612 without delirium, in-hospital mortality (odds ratio: 1.67, 95% CI: 1.51-1.77), LOS (rate ratio [RR]: 1.47, 95% CI: 1.45-1.51), and hospital costs (RR: 1.44, 95% CI: 1.41-1.48) were all statistically higher in the presence of delirium (all p < 0.001).

CONCLUSION

In patients hospitalized with HF, delirium is an independent predictor of increased in-hospital mortality, longer LOS, and excess hospital costs despite adjustment for baseline characteristics.

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.

Prevention of Complications in the Cardiac Intensive Care Unit: A Scientific Statement From the American Heart Association

Contemporary cardiac intensive care units (CICUs) have an increasing prevalence of noncardiovascular comorbidities and multisystem organ dysfunction. However, little guidance exists to support the development of best-practice principles specific to the CICU. This scientific statement evaluates strategies to avoid the potentially preventable complications encountered within contemporary CICUs, focusing on those that are most applicable to the CICU environment. This scientific statement reviews evidence-based practices derived in non–CICU populations, assesses their relevance to CICU practice, and highlights key knowledge gaps warranting further investigation to attenuate patient risk.

Quetiapine therapy in critically injured trauma patients is associated with an increased risk of pulmonary complications

BACKGROUND

The aim of this study was to evaluate quetiapine-associated pulmonary complications (PC) in critically injured trauma patients.

METHODS

Injured adults admitted during 2016 to the ICU at a Level I trauma center were analyzed. Outcomes were evaluated by competing risks survival analysis.

RESULTS

Of 254 admissions, 40 (15.7%) had PC and 214 (84.3%) were non-events. PC patients were more severely injured, had longer hospital stays and were more likely to die. Patients administered quetiapine were more likely to develop PC and acquire PC earlier than those without quetiapine. Quetiapine was a positive risk factor for PC (sHR 2.24, p = 0.013). Stratification by ventilator use revealed non-ventilated patients administered quetiapine had the highest risk for PC (sHR 4.66, p = 0.099).

CONCLUSIONS

Quetiapine exposure in critically injured trauma patients was associated with increased risk of PC. Guidelines for treatment of delirium with quetiapine in critically injured trauma patients should account for this risk.

Antipsychotics for Treating Delirium in Hospitalized Adults: A Systematic Review

BACKGROUND

Delirium is common in hospitalized patients and is associated with worse outcomes. Antipsychotics are commonly used; however, the associated benefits and harms are unclear.

PURPOSE

To conduct a systematic review evaluating the benefits and harms of antipsychotics to treat delirium in adults.

DATA SOURCES

PubMed, Embase, CENTRAL, CINAHL, and PsycINFO from inception to July 2019 without language restrictions.

STUDY SELECTION

Randomized controlled trials (RCTs) of antipsychotic versus placebo or another antipsychotic, and prospective observational studies reporting harms.

DATA EXTRACTION

One reviewer extracted data and assessed strength of evidence (SOE) for critical outcomes, with confirmation by another reviewer. Risk of bias was assessed independently by 2 reviewers.

DATA SYNTHESIS

Across 16 RCTs and 10 observational studies of hospitalized adults, there was no difference in sedation status (low and moderate SOE), delirium duration, hospital length of stay (moderate SOE), or mortality between haloperidol and second-generation antipsychotics versus placebo. There was no difference in delirium severity (moderate SOE) and cognitive functioning (low SOE) for haloperidol versus second-generation antipsychotics, with insufficient or no evidence for antipsychotics versus placebo. For direct comparisons of different second-generation antipsychotics, there was no difference in mortality and insufficient or no evidence for multiple other outcomes. There was little evidence demonstrating neurologic harms associated with short-term use of antipsychotics for treating delirium in adult inpatients, but potentially harmful cardiac effects tended to occur more frequently.

LIMITATIONS

Heterogeneity was present in terms of dose and administration route of antipsychotics, outcomes, and measurement instruments. There was insufficient or no evidence regarding multiple clinically important outcomes.

CONCLUSION

Current evidence does not support routine use of haloperidol or second-generation antipsychotics to treat delirium in adult inpatients.

PRIMARY FUNDING SOURCE

Agency for Healthcare Research and Quality. (PROSPERO: CRD42018109552).

Use of haloperidol versus atypical antipsychotics and risk of in-hospital death in patients with acute myocardial infarction: cohort study

OBJECTIVE

To compare the risk of in-hospital mortality associated with haloperidol compared with atypical antipsychotics in patients admitted to hospital with acute myocardial infarction.

DESIGN

Cohort study using a healthcare database.

SETTING

Nationwide sample of patient data from more than 700 hospitals across the United States.

PARTICIPANTS

6578 medical patients aged more than 18 years who initiated oral haloperidol or oral atypical antipsychotics (olanzapine, quetiapine, risperidone) during a hospital admission with a primary diagnosis of acute myocardial infarction between 2003 and 2014.

MAIN OUTCOME MEASURE

In-hospital mortality during seven days of follow-up from treatment initiation.

RESULTS

Among 6578 patients (mean age 75.2 years) treated with an oral antipsychotic drug, 1668 (25.4%) initiated haloperidol and 4910 (74.6%) initiated atypical antipsychotics. The mean time from admission to start of treatment (5.3 v 5.6 days) and length of stay (12.5 v 13.6 days) were similar, but the mean treatment duration was shorter in patients using haloperidol compared with those using atypical antipsychotics (2.4 v 3.9 days). 1:1 propensity score matching was used to adjust for confounding. In intention to treat analyses with the matched cohort, the absolute rate of death per 100 person days was 1.7 for haloperidol (129 deaths) and 1.1 for atypical antipsychotics (92 deaths) during seven days of follow-up from treatment initiation. The survival probability was 0.93 in patients using haloperidol and 0.94 in those using atypical antipsychotics at day 7, accounting for the loss of follow-up due to hospital discharge. The unadjusted and adjusted hazard ratios of death were 1.51 (95% confidence interval 1.22 to 1.85) and 1.50 (1.14 to 1.96), respectively. The association was strongest during the first four days of follow-up and decreased over time. By day 5, the increased risk was no longer evident (1.12, 0.79 to 1.59). In the as-treated analyses, the unadjusted and adjusted hazard ratios were 1.90 (1.43 to 2.53) and 1.93 (1.34 to 2.76), respectively.

CONCLUSION

The results suggest a small increased risk of death within seven days of initiating haloperidol compared with initiating an atypical antipsychotic in patients with acute myocardial infarction. Although residual confounding cannot be excluded, this finding deserves consideration when haloperidol is used for patients admitted to hospital with cardiac morbidity.

Acute Brain Failure: Pathophysiology, Diagnosis, Management, and Sequelae of Delirium

Delirium is the most common psychiatric syndrome found in the general hospital setting, with an incidence as high as 87% in the acute care setting. Delirium is a neurobehavioral syndrome caused by the transient disruption of normal neuronal activity secondary to systemic disturbances. The development of delirium is associated with increased morbidity, mortality, cost of care, hospital-acquired complications, placement in specialized intermediate and long-term care facilities, slower rate of recovery, poor functional and cognitive recovery, decreased quality of life, and prolonged hospital stays. This article discusses the epidemiology, known etiological factors, presentation and characteristics, prevention, management, and impact of delirium.

Adverse Events Associated with Antipsychotic Use in Hospitalized Older Adults After Cardiac Surgery

OBJECTIVES

To evaluate in-hospital adverse events associated with typical and atypical antipsychotic medications (APMs) after cardiac surgery.

DESIGN

Retrospective cohort study.

SETTING

Nationwide inpatient database, 2003 to 14.

PARTICIPANTS

Individuals (mean age 70) newly treated with oral atypical (n = 2,580) or typical (n = 1,126 APMs) after coronary artery bypass grafting or valve surgery (N = 3,706).

MEASUREMENTS

In-hospital mortality, arrhythmia, pneumonia, use of brain imaging (surrogate for oversedation and neurological events), and length of stay after drug initiation RESULTS: In the propensity score-matched cohort, median treatment duration was 3 days (interquartile range (IQR) 1-6 days) for atypical APMs and 2 days (IQR 1-3 days) for typical APMs. There were no large differences in in-hospital mortality (atypical 5.4%, typical 5.3%; risk difference (RD) = 0.1%, 95% confidence interval (CI) = -2.1 to 2.3%), arrhythmia (2.0% vs 2.2%; RD = 0.0%; 95% CI = -1.4 to 1.4%), pneumonia (16.1% vs 14.5%; RD = 1.6%, 95% CI = -1.9 to 5.0%), and length of stay (9.9 days vs 9.3 days; mean difference = 0.5 days, 95% CI = -1.2 to 2.2). Use of brain imaging was more common after initiating atypical APMs (17.3%) than after typical APMs (12.4%; RD = 4.9%, 95% CI = 1.4-8.4).

CONCLUSION

In hospitalized individuals who underwent cardiac surgery, short-term use of typical APMs was associated with risks of adverse events similar to those with atypical APMs. Moreover, greater use of brain imaging associated with atypical APMs suggests that these drugs may cause oversedation or adverse neurological events. Because of the low event rates, the analysis could not exclude modest differences in adverse events between atypical and typical APMs.